We could showcase DREAMOTOR1 yesterday at RENAULT with NEXYAD of course, and our partner HERE Technologies.
Functions showcased:
. Safety score,
. Safety CoachThere will be many showcases of DREAMOTOR1 in France and in Europe during 2022.We have integrated technologies from NEXYAD, INTEMPORA, ECOTECHNILIN, and we wrote all the global and detailed specifications for integration of technologies from SBG Systems, YOGOKO, IMPORTANT.
We are discussing with GREENERWAVE to fancy the best way to integrate their technology. DREAMOTOR1 is already the smarter demo car and will remain it in time.
On the picture at RENAULT Guyancourt, I am with Olivier Beldi from HERE Technologies. HERE Technologies believed in NEXYAD from the very start, And we showcase together at RENAULT (that have signed with GOOGLE), and in a way, we “bring” HERE with us, and they help us being better. Small teams may bring strategic advantages … We’re happy about this.
Now that we have DREAMOTOR1, our unique embedded cognitive AI technology SafetyNex, which is second to none, can be showcased for 3 functions:
. Safety Score: much more accurate and relevant than TESLA one. Think again ! it is not everyday that you have the opportinuty to take over TESLA !
. Safety Coach that advices driver during trip and helps to avoid most emergency situations (and then many accidents)
. Preventive ACC / AD (soon available on DREAMOTOR1) that controls vehicle speed in order to keep driving behavior cautious regarding static and dynamic contexts
The second of december at ESIGELEC in Saint Etienne du Rouvray, the french Automotive & Mobility Cluster NEXTMOVE has organized the presentation of the two demo cars involved with Demo ICIM project : NextCar by Nextmove and Dreamotor1 by Nexyad.
Video of DREAMOTOR 1 at PFA event in Paris Oct. 26th 2021
Featured participant to DREAMOTOR 1 demo car : Nexyad, Nextmove, EcoTechnilin, Intempora, YoGoKo
La PME française a mis au point un outil qui permet de calculer les risques en fonction du profil de la route, de l’environnement et de la vitesse. Ce système combine l’intelligence artificielle, des capteurs et des cartes de haute précision.
Lors du récent congrès sur les transports intelligents (ITS) de Hambourg, on a pu voir tourner dans les rues de la ville une Renault ZOE baptisée « Dreamotor 1 ». Et elle serait, selon ses concepteurs, l’un des plus sûres au monde. Pourquoi ? Parce qu’elle intègre un système d’intelligence artificielle très évolué, fruit de 20 ans de recherche au sein de la PME Nexyad, et qui a fait ses preuves*. Ce système a pour nom SafetyNex et mesure 20 fois par seconde le niveau de risque en fonction du contexte routier (vitesse, analyse de l’environnement, type de route). Cet outil assez unique s’appuie sur les cartes pour GPS de haute précision de HERE Technologies, dans le cadre d’un partenariat. La ZOE intègre une fonction « safety coach » qui s’appuie sur des données en temps réel pour recommander au conducteur à quelle vitesse maximale il peut rouler. Précisons que ce coach peut aussi agir en cas d’urgence sur le régulateur de vitesse intelligent (ACC), s’il estime que le niveau de danger est trop élevé et en cas de non-réaction. Le système d’IA de Nexyad bénéficie à bord de ce prototype de l’apport d’autres technologies pour calculer encore plus précisément en temps réel le risque routier.
The 26th of october 2021 took place at la Cité des Sciences et de l’industrie in Paris, the day of the French Automotive Sector (PFA). Many officials, president of PFA, Luc Chatel, Industry miniter Bruno Lemaire, and automotive executives as Luca De Meo CEOof Renault Group were present.
Nexyad participated and showed outside its demo car Dreamotor 1 (below).
DEMO ICIM (above) is a demo car of the French Automotive & Mobility cluster NEXTMOVE that integrates technologies of member SMEs including NEXYAD Cognitive AI SafetyNex. This demo car Demo ICIM is a « sister » of DREAMOTOR 1. NEXYAD and NEXTMOVE have a signed partnership to promote the two cars together and show the excellence in clean and intelligent vehicles.
Our DREAMOTOR 1 car was not already available. What we call DREAMOTOR 1 V0 is a RENAULT ZOE that we’ve been renting in Hamburg. In this ZOE we installed a PC + sensors etc. and could showcase 3 automotive functions :
. Safety score : at the end of every trip, we give statistics of caution : driving behavior is described with caution profile, risk (= lack of caution) profile, and global scores such as driving caution score, anticipation ability score, driving skills score, and observed self-confidence score.
. Safety coach : during driving, caution and risk are estimatied onboard in real time (20 times per second), and then are used to give advices to driver in order to avoid incautious behaviors. It has been validated that this system reduces accident rate by at least 25%.
. Anticipative ACC and AD : in real time, knowing context, the same system can estimate 20 times per second what should be the good behavior in order not to exceed a max accepted risk (= lack of caution). In particular, what should be vehicle speed (which brings a setpoint value to ACC).
This V0 did not integrate already all the technologies of partners which bring for most of them new inputs to NEXYAD caution assessment cognitive AI in order to get a better description of context.
This will be done in DREAMOTOR 1 V1.
Some OEMs tried DREAMOTOR1 V0 in the streets of Hamburg (real tests in real streets) and NEXYAD got very good feedbacks. Now we are on partners technologies integration to improve functions.
Soon the next episode at PFA Day (journée de la Plateforme Française de l’Automobile) à Paris.
a view on Las Vegas Convention Center Central Plaza
It’s been an exceptional CES for NEXYAD :
. a major firm of car exlectronics presented on their booth 2 products that integrate our SafetyNex API
. we has about 30 qualified meeting (and we took good shoes J)
Between two meetings, NEXYAD has visited the gigantic section for Automotive in CES 2019 : Central Plaza and North Hall + a part of Central Hall
Four major trends caught our interest : Lidar, Vocal Driver Assistant, Autonomous Pods and French Tech.
LIDAR
The lidar (light detection and ranging) becomes an inescapable technology that will be present inside tomorrow vehicles, whether for the ADAS or for the autonomous vehicle. Investors seem to have made big bets on and yesterday Lidar actors still non-existent or tiny have now clearly visible in the aisles of the show. Lidar can be electromechanical or solid-state much cheaper technology. It is easy to split the following lidar companies in two: the north americans and others.
In California, we have Ouster that sided with the high resolution; and Cepton that provides long range lidars; also Velodyne with a whole range of different products for different uses; Then AEye with its iDar combination of camera and lidar. In Montana, there is Blackmore providing solid state technology; In North Carolina, a new comer Sense Photonics. And the Canadian Leddartech solid state technology for mass deployment thru a chip for perception analysis. LeddarTech is member of the MOVEO ADAS Group with NEXYAD and a dozen of other high-tech companies for intelligent mobility.
RoboSense the Chinese company proposes several technologies: mechanical, solid state, laser scanner and also perception algorithms. Innoviz Technologies the israeli makes solid state and software perception. In South Korea there is SOS Lab with a product for self driving cars.
LeddarVU & LeddarTech Cocoon
VOCAL DRIVER ASSISTANT
Everybody heard about vocal assistant, it is very popular for home use. Of course, those assistants arrive now into cars. Vocal Driver assistants make spoken human interaction with computers possible, using speech recognition to understand spoken commands and questions in natural language, and typically text to speech to play a reply. They are the primary way of interacting with virtual assistants on smartphones and smart speakers.
Difficult to miss Hey Google for example at CES this year. Besides Hey Google, there is OK Google and Google Allo. Google announces major automotive partnership with Renault-Nissan-Mitsubishi to integrate its Android System into their future cars. Let’s bet that their Vocal Driving Assistant will be in the deal.
Amazon wishes putting Alexa into every car with Echo Auto. Anyway, Amazon Alexa Automotive and Here Technologies partnershiped for giving voice to car navigation.
Nuance is the pure player of this domain and showed this year an impressive new release of their Dragon Drive that brings the connected car to life through a natural language voice interface.
IBM Watson Assistant for Connected Vehicles is a digital assistant designed to enhance in-vehicle experiences, helping the automotive industry better understand and interact with drivers and passengers.
On the Pionner Booth, was demonstrated a Proactive Telematics product on smartphone with a beacon, and also a dashcam. Those 2 products send to driver vocal alerts before difficult ans dangerous situations and allow then to avoid accidents. Another way to assist driver (the Vocal Driving Assistant that can save your life).
AUTONOMOUS PODS & SHUTTLES
Most of the Autonomous Vehicle presented to CES were manufacturers or tier one companies intentions for future or stylish Demo Car. Besides, future seems to be moving away year by year, full autonomy will be difficult to reach most professional say.
The French Milla Group showed their electric Mobility POD and claims to be not only a prototype, but ready for different use cases: cities, industrial sites, University campuses, gated communities and resorts, at the commercial speed of 19Mph / 30Kmh with a price target compatible with massive deployment.
Note : Milla Group is member of the MOVEO ADAS Groupe through their subsidiary ISFM. One can notice that MOVEO ADAS Group had an incredible presence at this CES 2019.
NB : ce serait pas mal de mettre une photo de face de MILLA parce que là on ne voit pas grand chose
FRENCH TECH
Business France has brought together 26 high-tech companies, including NEXYAD, in the French Tech pavilion on Central Plaza, beside Here Technologies, Google, Faurecia, Valeo, etc… Half of those companies are members of ADAS Groupement, SME’s cluster inside larger competitiveness cluster MOVEO for Normandy and Paris area. ADAS Groupement offers numerous competences, services and products: EcoGyzer, eVA, I-Deep, LeddarCore, LeddarVu, Magic Vision CMOS, NeuroRBF, NSWeight, ObstaNex, Roadnex, RTMaps, SafetyNex, VisiNex, Widy Vision, Y-Konnect, 4DV-SIM, etc
– Sherpa Engineering‘s mission is to support its customers in the deployment of methodologies tooled by models to design and validate piloted systems.
– Intempora has developed RT-Maps for synchronizing and processing real-time data streams, and I-Deep a web-based application server for automating your algorithms test and validation procedures.
– Yogoko is an industry-leading communication solutions provider for the connected, cooperative & autonomous vehicles (CCAV) evolving in intelligent environments, their target markets are transport & mobility players: autonomous vehicle manufacturers, legacy automotive OEM and Tier1, for intelligent mobility solutions developer and integrators.
– Milla Group made the world premiere presentation of electric Mobility POD visible in the Pavillon. It was the big attraction of the pavilion. Mobility POD integrates Nexyad computer vision software modules RoadNex and soon ObstaNex and VisiNex and also SafetyNex on the top of the autonomous driving system to control Driving risk at each moment in real time.
– NEXYAD is the reference worldwide for risk driving computing, onboard, in real time, at each moment : what is the risk that driver (human or not) is currently taking. See LINK
– Geoflex allows to give a very appreciable accuracy to gnss (less than a meter) only with software, using a hundred antenna distributed on the globe.
– Benomad provides traditional GPS Navigation, EV Navigation, Intelligent Navigation for Collection Services, Mapping Services and Mapping SDK and Navigation API. NEXYAD API SafetyNex integrates the SDK of Benomad.
Luc Chatel president of PFA (Plateforme Française Automobile) , former french minister, and and Gerard Yahiaoui Nexyad CEO, discussing about the importance of real time driving risk computing for road safety improvement
* * * * *
NEXYAD CEO speaker at XAVIER DALLOZ Conference at CES 2019
NEXYAD IS VERY PROUD FOR THEIR PARTICIPATION TO THE XAVIER DALLOZ CONFERENCE AT CES LAS VEGAS YESTERDAY
Hotel the Linq, wednesday january 10th.
It’s been a very interesting exchange about major trends on the CES this year, and NEXYAD presented an example of eXplanable Artificial Intelligence (XAI) to the automotive sector with their software component SafetyNex that computes at each moment in real time and with anticipation the risk that the driver is currently taking, with applications to :
. alerting human drivers and reduce accident rate by 20%
. making autonomous Driving systems much safer Thanks for this perfect organization.
* * * * *
NEXYAD at Road Safety at Work Conference 2018
On December 17th, the 2nd edition of the National Symposium for Road Safety at Work was held at the French Ministry of Economy and Finance in Paris. This event was an opportunity to discuss the good practices implemented in this area for French companies and administrations. All day long, leaders, managers and experts gathered in front of 400 professionals, all types and sizes of corporates, to expose and cross theories, prevention strategies and feedback.
The 5th and 6th december, International Conference SIA CESA 5.0 took place in Versailles (just near the Château).
The goal of the organisers is to build a bridge between traditional automotive electronics and the new developments in vehicle electrification and digitalization as well as those from the world of consumer electronics and the Internet of Things.
The event has presented a great opportunity to understand how the automotive business will evolve over the next five years, with a focus on products and services that are likely to transition from other markets into use-cases for automotive.
Gérard Yahiaoui, Nexyad CEO was part of speakers for a new paper : Real Time Driving Risk Assessment for Onboard Accident Prevention : Application to Vocal Driving Risk Assistant, ADAS, and Autonomous Driving.
a view on Las Vegas Convention Center Central Plaza
It’s been an exceptional CES for NEXYAD :
. a major firm of car exlectronics presented on their booth 2 products that integrate our SafetyNex API
. we has about 30 qualified meeting (and we took good shoes J)
Between two meetings, NEXYAD has visited the gigantic section for Automotive in CES 2019 : Central Plaza and North Hall + a part of Central Hall
Four major trends caught our interest : Lidar, Vocal Driver Assistant, Autonomous Pods and French Tech.
LIDAR
The lidar (light detection and ranging) becomes an inescapable technology that will be present inside tomorrow vehicles, whether for the ADAS or for the autonomous vehicle. Investors seem to have made big bets on and yesterday Lidar actors still non-existent or tiny have now clearly visible in the aisles of the show. Lidar can be electromechanical or solid-state much cheaper technology. It is easy to split the following lidar companies in two: the north americans and others.
In California, we have Ouster that sided with the high resolution; and Cepton that provides long range lidars; also Velodyne with a whole range of different products for different uses; Then AEye with its iDar combination of camera and lidar. In Montana, there is Blackmore providing solid state technology; In North Carolina, a new comer Sense Photonics. And the Canadian Leddartech solid state technology for mass deployment thru a chip for perception analysis. LeddarTech is member of the MOVEO ADAS Group with NEXYAD and a dozen of other high-tech companies for intelligent mobility.
RoboSense the Chinese company proposes several technologies: mechanical, solid state, laser scanner and also perception algorithms. Innoviz Technologies the israeli makes solid state and software perception. In South Korea there is SOS Lab with a product for self driving cars.
LeddarVU & LeddarTech Cocoon
VOCAL DRIVER ASSISTANT
Everybody heard about vocal assistant, it is very popular for home use. Of course, those assistants arrive now into cars. Vocal Driver assistants make spoken human interaction with computers possible, using speech recognition to understand spoken commands and questions in natural language, and typically text to speech to play a reply. They are the primary way of interacting with virtual assistants on smartphones and smart speakers.
Difficult to miss Hey Google for example at CES this year. Besides Hey Google, there is OK Google and Google Allo. Google announces major automotive partnership with Renault-Nissan-Mitsubishi to integrate its Android System into their future cars. Let’s bet that their Vocal Driving Assistant will be in the deal.
Amazon wishes putting Alexa into every car with Echo Auto. Anyway, Amazon Alexa Automotive and Here Technologies partnershiped for giving voice to car navigation.
Nuance is the pure player of this domain and showed this year an impressive new release of their Dragon Drive that brings the connected car to life through a natural language voice interface.
IBM Watson Assistant for Connected Vehicles is a digital assistant designed to enhance in-vehicle experiences, helping the automotive industry better understand and interact with drivers and passengers.
On the Pionner Booth, was demonstrated a Proactive Telematics product on smartphone with a beacon, and also a dashcam. Those 2 products send to driver vocal alerts before difficult ans dangerous situations and allow then to avoid accidents. Another way to assist driver (the Vocal Driving Assistant that can save your life).
AUTONOMOUS PODS & SHUTTLES
Most of the Autonomous Vehicle presented to CES were manufacturers or tier one companies intentions for future or stylish Demo Car. Besides, future seems to be moving away year by year, full autonomy will be difficult to reach most professional say.
The French Milla Group showed their electric Mobility POD and claims to be not only a prototype, but ready for different use cases: cities, industrial sites, University campuses, gated communities and resorts, at the commercial speed of 19Mph / 30Kmh with a price target compatible with massive deployment.
Note : Milla Group is member of the MOVEO ADAS Groupe through their subsidiary ISFM. One can notice that MOVEO ADAS Group had an incredible presence at this CES 2019.
NB : ce serait pas mal de mettre une photo de face de MILLA parce que là on ne voit pas grand chose
FRENCH TECH
Business France has brought together 26 high-tech companies, including NEXYAD, in the French Tech pavilion on Central Plaza, beside Here Technologies, Google, Faurecia, Valeo, etc… Half of those companies are members of ADAS Groupement, SME’s cluster inside larger competitiveness cluster MOVEO for Normandy and Paris area. ADAS Groupement offers numerous competences, services and products: EcoGyzer, eVA, I-Deep, LeddarCore, LeddarVu, Magic Vision CMOS, NeuroRBF, NSWeight, ObstaNex, Roadnex, RTMaps, SafetyNex, VisiNex, Widy Vision, Y-Konnect, 4DV-SIM, etc
– Sherpa Engineering‘s mission is to support its customers in the deployment of methodologies tooled by models to design and validate piloted systems.
– Intempora has developed RT-Maps for synchronizing and processing real-time data streams, and I-Deep a web-based application server for automating your algorithms test and validation procedures.
– Yogoko is an industry-leading communication solutions provider for the connected, cooperative & autonomous vehicles (CCAV) evolving in intelligent environments, their target markets are transport & mobility players: autonomous vehicle manufacturers, legacy automotive OEM and Tier1, for intelligent mobility solutions developer and integrators.
– Milla Group made the world premiere presentation of electric Mobility POD visible in the Pavillon. It was the big attraction of the pavilion. Mobility POD integrates Nexyad computer vision software modules RoadNex and soon ObstaNex and VisiNex and also SafetyNex on the top of the autonomous driving system to control Driving risk at each moment in real time.
– NEXYAD is the reference worldwide for risk driving computing, onboard, in real time, at each moment : what is the risk that driver (human or not) is currently taking. See LINK
– Geoflex allows to give a very appreciable accuracy to gnss (less than a meter) only with software, using a hundred antenna distributed on the globe.
– Benomad provides traditional GPS Navigation, EV Navigation, Intelligent Navigation for Collection Services, Mapping Services and Mapping SDK and Navigation API. NEXYAD API SafetyNex integrates the SDK of Benomad.
Luc Chatel president of PFA (Plateforme Française Automobile) , former french minister, and and Gerard Yahiaoui Nexyad CEO, discussing about the importance of real time driving risk computing for road safety improvement
AUTONOMY & THE URBAN MOBILITY SUMMIT at PARIS – 18-20 OCTOBER PARIS GRANDE HALLE DE LA VILLETTE
The 2018 show was the Opportunity to see new mobility engines and solutions.
12000 attendees, more than 60 conferences, round tables and rich workshops of the biggest actors and thinkers of new mobilities, startups pitch sessions, but also an exhibition space of 14,000 m2 in which 250 innovative companies will offer demonstrations live! New in 2018: a matchmaking platform for scheduling professional meetings at the show.
Above left LOTTA Shuttle, Electrical TilScoot of TilGreen, Electrical Bikes eTricks P01, EP Tender Batteries as Service
INI is a groupment of high tech small and medium size companies with over 20 years experience in the field of Internet technologies objects and big data. Activity: Design, production and database integration for the production of high value-added services. INI is powered by MOV’EO Cluster. CIL4Sys is expert in conception of embedded system in agile mode, CIL4Sys relies on UML / SysML modeling and simulation of the behavior of the studied systems. Intemporais the editor of RTMAPS (real time multisensor advanced prototyping software), a simple and effective tool for rapid prototyping of embedded applications. Softeam Group is a digital services company specialized in new software technologies (JEE and SOA architectures, business rules, BPM) in the digital and service sectors. Nexyad is the fourth member of Groupement INI.
Presentation of the SafetyNex technology by NEXYAD at the INTEMPORA TECHDAY. This congress organized by INTEMPORA was impressive and gathered the French community of ADAS and Autonomous Driving around demos and presentations. Congrats to INTEMPORA. The technology SafetyNex (real time driving risk assesment algorithm developed by NEXYAD) was truely appreciated and we could discuss about applications. The MOVEO Groupement ADAS made good presentations too.
Real Time driving RISK assessment for driving risk PREVENTION and for CONTROL of autonomous driving systems: an application of XAI (*)
(*) eXplanable Artificial Intelligence Gérard Yahiaoui explaining Nexyad use of Intempora’s RT-Maps
– ISFM selected Nexyad algorithms
– SafetyNex episode 6 : Five use cases when your eyes or sensors are not enough
– Autonomous Driving Adaptative to situations with SafetyNex
– Broad Range Applications of Real Time Driving Risk Assessment
– Deep Learning for Onboard Applications: Hidden Trap
– SafetyNex and the “S” Curve Theory
– Congresses & Events
NEXYAD is proud to announce that our Artificial Intelligence Algorithmes are used for Autonomous Driving Vehicles French High Tech Startup ISFM (Intelligent Systems for Mobility) selected Nexyad artificial intelligence algorithms for their Milla Smart Shuttle.
ISFM is one of the companies selected by the Ubimobility 2018 program
* * * * *
SafetyNex episode 6 :
Five use cases when your eyes or sensors are not enough
SafetyNex can save your life part 1: Rainy Curve
SafetyNex can save your life part 2: Tight Curve
SafetyNex can save your life part 3: Priority
SafetyNex can save your life part 4: Stop Sign
SafetyNex can save your life part 5: Pedestrians Crossing
* * * * *
Autonomous Driving Adaptative to situations with SafetyNex
HOW TO MAKE YOUR AUTONOMOUS DRIVING (AD) ADAPTIVE TO SITUATIONS THAT WERE NOT IMAGINED BEFORE
The true function of an autonomous vehicle is to move you from a point A to a point B, as quicly as possible, in comfort and safety (road safety : without accident and even without near-misses). Let’s talk about road safety because it is the job of NEXYAD with the Artificial Intelligence module SafetyNex.
20 times per second, SafetyNex estimates the risk that the driver (Driver is your Autonomous Driving system) takes. In an open world, new situations will happen (not in the scope of your scenarios) and if your AD is not adapted, risk will rise and SafetyNex will detect it. It opens the door to new strategies :
. Simple adaptive response : “if risk too high then slow down” for instance
. Complex adaptive system with deep Learning : if the response led to risk rising it is not the proper one … well it sounds you can improve your AD and even let it learn while it is in use in real vehicles !!!
And you even can modulate easily aggressiveness of your AD (necessary in dense urban areas).
* * * * *
Broad Range Applications of
Real Time Driving Risk Assessment
Driving risk is not predictable from the so called “black spots” location, or from only driving behaviour. Driving risk appears when driving behaviour is not adapted to driving context, and particular, to road infrastructure complexity. There is no inherently bad driving behaviour (it depends on WHERE you drive: a disused airport ? in front of a school ? approaching an intersection ? risk is different for all those case). There is no inherently dangerous infrastructure and all automotive projects that record “black spots” are doomed to failure : they are places where few drivers in the past had a driving behaviour that was not appropriate to infrastructure complexity, and they died in accident. Thousands, millions, of other drivers did not have any accident at this location. What will this information bring to YOU ? Nothing ! It is necessary to evaluate adequation of YOUR driving behaviour to infrastructure complexity.
An AI module does that 20 times per second: SafetyNex.
Driving risk computed by SafetyNex is a core notion with lots of different applications : car insurance, fleet management, commerce, ADAS, Autonomous Driving, Vocal Driving Assistants, …
* * * * *
Deep Learning for Onboard Applications: Hidden Trap
Now Deep Learning is used in onboard detection and pattern recognition applications. NEXYAD for instance uses Deep Learning in RoadNex (road detection without need of markings + detection of free space), and ObstaNex (obstacles detection).
But if you do not analyse your INDUSTRIAL project in detail, you may have bad surprises : everyone thinks he/she knows that the more numerous the training examples, the most accurate the KPIs. Let’s say you used 1 billion km to train and validate your Neural Network (NN) for computer vision. Now a new cam is launched on the market (32 bits per color, 10k) : If you want to use your NN, you will degrade quality of images and put them into your system. If you want to take advantage of your better camera, then you must capture 1 NEW billion km with the new cam and train a new NN.
NOT VERY INDUSTRIAL!
NEXYAD has developed a methodology to get same KPIs with a very picky compact database (easy to reshape the database with new sensors) : A.G.E.N.D.A. (Approche Générale des Etudes Neuronales pour le Développement d’Applications), published in scientific papers in the 90’s – yes – the 90’s by NEXYAD team.
* * * * *
SafetyNex and the “S” Curve Theory
RELATIONSHIP BETWEEN DRIVING RISK AND ACCIDENT : THE “S” CURVE THEORY
Let’s say in a manufacture there is a very dangerous machine that may grind up your hand. If you are 10 km away from the machine, risk is “very” low. If you are 1 km away from the machine, risk is the same. If you are 10 m away from the machine … risk is still very low … but if you come closer (let’s say 10 cm), suddenly risk becomes high ! This is not linear. In road safety, the Artificial Intelligence algorithm SafetyNex estimates 20 times per second the driving risk you take, and many people ask about relationship between “risk you take” and “accident”. This relationship is not deterministic (probabilities must be used) : risk is not linked directly to accident but rather to accident frequency (or probability)… and the relationship is a non linear curve called a “S” curve as shown on the figure below. It is possible then to use it to alert human driver (Vocal Driving Assistants) or to control autonomous driving (Autonomous Vehicle) in order to keep risk under the threshold of the “S” curve or not too far after the threshold. SafetyNex was calibrated in order to have 95% of accident frequency just after the threshold (validated on 50 million km).
Click image to enlarge
* * * * *
Congresses & Events
NEXYAD CEO on Mobility TV about Road Safety applied to AV
Use the YouTube translation to follow with your language.
Gérard YAHIAOUI, CEO of NEXYAD, participed in a TV show on Mobility TV about the Autonomous Vehicle, where he explained the value of SafetyNex for road safety applied to Autonomous Vehicle. The other guests were Jean-Pierre CARNEVALE, departement director for Ipsos, Abdelkrim DOUFENE from IRT SystemX, and Hervé GROS from SIA (automotive engineers society), the talk show was animated by Patrick ROGER for Auto K7.
First French Congress devoted to Autonomous Vehicles
Last 25-26 june, SIA and URF jointly organized the first French conference on the autonomous vehicle in order to cross the views of the whole scientific and technical communities : car manufacturers, suppliers, road infrastructures, telecommunications and transport operators in connection with the national and territorial public decision-makers.
200 experts, 4 sectors, a dozen of exhibitors, 38 interventions, keynotes by Anne-Marie Idrac (AV special adviser), Cédric Villani (AI special adviser) and Luc Chatel (President of PFA), 1 round table of industrial leaders and the public sector, or how to draw up the state of the art for the biggest technological change in mobility and transport.
The goal is to accelerate the capacity for innovation everyone to serve everyone, by bringing all stakeholders together under the aegis of the most relevant experts for the autonomous vehicles of tomorrow.
Gerard Yahiaoui, CEO of Nexyad was invited to talk about SafetyNex on a focus about Intelligent Onboard Technologies.
Gérard Yahiaoui explaining SafetyNex
A.I. key of profitability Conference at TNP
This thursday 14th june, TNP, a consulting firm specializing in business transformation, inaugurated its new generation start-up accelerator! The audience follow interesting conference about Artificial Intelligence in Mobility field.
– Benoit Ranini, TNP : Introduction
– Philippe Giry-Deloison : Conseiller municipal de Neuilly sur Seine
– Stéphane Mallard : Artificial Intelligence, Get ready for disruption
– Juliette Girard, Renault & Adrian Pellegrini, Blue DME : Feedback on futuristic car dealership
– Gérard Yahiaoui, Nexyad : Intelligence on board with SafetyNex
– Demo and business dating with TNP Accelerator’s start-ups
Gérard Yahiaoui, CEO of Nexyad
The European Mobility Exhibition 2018
Transports Publics, the European Mobility Exhibition, is the not-to-bemissed biennial exhibition for all the key players in public transport and sustainable mobility from across Europe. Over 11,000 highly qualified participants come together over three days in Paris to discuss the latest innovations for urban, interurban and regional transport, as well as green mode transport.
Transports Publics is recognised as the leading European showcase for innovations in equipment, services and policies relating to the entire mobility sector, bringing together leading European decision-makers from transport and politics.
This year, we could see for the first time, the new technology for rear-vision on buses,coaches and trucks : the camera-based system instead of mirrors. We visited Vision Systems booth that is the first firm to propose such system with its Smart-Vision product.
Smart-Vision allows to save about 5% gas consumption, that reduces CO2 emissions; the cockpit screens for driver are much more efficient than mirrors, they eliminate sun glare or reflexion problems and of vehicles lights, and they increase visibility at night and tunnel conditions.
This solution has been integrated in Heuliez and Irizar buses as shown on the exhibition, and public transportation operators companies in Europe have already adopted Smart-Vision.
Vision Systems also shown a lidar perception system around vehicle called Savety-Front for collision avoidance.
The trend of 2018 was on electrification for buses in particular, and public transporation in general.
Autonomous pod or shuttle was not yet present except outside with Navya.
For the third consecutive time the Groupement ADAS (cluster) was present to the Autonomous Vehicle Technology World Expo at Messe Stuttgart 5-7 june 2018. Intempora and Nexyad represented the french-canadian cluster sponsorised by Mov’eo Imagine Mobility.
Edition 2018 was quite good, we propose a focus on some companies we saw to the convention.
The Elektrobit industry experts came to share their experience on how to effectively manage a functional and open HAD software architecture on an adaptive AUTOSAR infrastructure. They were keen to demonstrate how the functional software architecture with open interfaces and software modules is integrated on a high-performance microcontroller using an AUTOSAR adaptive middleware. In addition to the functional challenges, the transmission of integrity levels of automotive safety could be explained to you. EB booth visitors could appreciate why the advantage of combining an open software framework for automated driving with a reliable operating environment reduces time-to-market due to fast integration and first system-level testing.
ESI Group is a leading innovator in the field of virtual prototyping software and services. A specialist in materials physics, ESI has developed a unique skill to help industrial manufacturers replace physical prototypes with virtual prototypes, enabling them to manufacture, assemble, certify and pre-certify their future products. Coupled with the latest technologies, ESI now wants to anchor virtual prototyping in the broader product performance lifecycle concept, which addresses the operational performance of a product throughout its life cycle, from launch to disposal. The creation of a hybrid twin, based on simulation, physics and data analysis, allows manufacturers to deliver more readable and connected products.
Sigra Technologies was exhibiting its autonomous driving system, its components and services called Deep Einstein. Its products range from drive-by-wire embedded systems to decision-making based on a deep neural network. The company believes that an approach based on deep learning is the best way to handle hard-to-solve cases using traditional algorithms. During the exhibition, Sigra presented its new system for the demonstration of autonomous driving.
StreetDrone is an ambitious UK self-driving startup with a rich automotive, motorsport and entrepreneurial DNA. The streetDrone team is passionate about putting the AV revolution into the hands of the many , not just the few, providing the platform , data management system and functional safety, thereby allowing businesses and institutions to focus on their own development goals without having to worry about the cost and complication of vehicle hardware and systems engineering. StreetDrone is enabling the next generation of engineering to be involved in what is the most exciting area of technology today.
Veoneer is a leading system supplier for ADAS autonomous driving AD and advanced brake control solutions, and a market leader in automotive safety electronics products. With one of the oadest product portfolios in the larket, Veoneer is the forefront of innovation in the current revolution of the automotive industry. Veoneer takes on the challenge of automation and human-machine tion as vehicles become increasly intelligent.
Vector informatik is a leading manufacturer of software tools and embedded components for the development of electronic systems and their networking with many different systems from CAN to automotive Ethernet. Vector has been a partner of automotive manufacturers and suppliers and related industries since 1988; Its tools and services provide engineers with the decisive advantage to make a challenging and highly complex subject area as simple and manageable as possible. Worldwide customers in the automotive, commercial vehicles, aerospace, transportation and control technology industries rely on the solutions and products of the independent Vector Group for the development of future mobility.
The four algorithms products of Nexyad are now well known by automotive profesionals. Numerus companies worldwide integrated SafetyNex the on board Driving risk assessment in real time, combinable with the three camera-based modules: RoadNex for road detection (edges of road and bitumen free space); ObstaNex for obstacles detection (vehicles and pedestrians); and VisiNex for visibility measurement (fog and heavy rains detection, reliability, distance of visibility, etc.)
MOV’EO Imaging Mobility Forum 2018
Imaging Mobility Forum by MOV’EO, June 7th 2018 at ESTACA, Campus Paris-Saclay.
“Innovation Hubs : a new deal for efficient mobility”
Luc Chatel, PFA President Rémi Bastien, Mov’eo President
– Mov’eo General Assembly – 2017 Management & Financial report
– Keynote : opening by Luc CHATEL, Chairman, French Automotive Industry & Mobilities, Former French Secretary of State for Industry
– Tech Sessions : Blockchain: the ultimate bypassing. New Eldorado for mobility or just a buzz?
Smart Grid: the key for electric mobility solutions ?
ESTACA’LAB research activities on intelligent, clean and safe transport
Conference : Innovation Hubs : a new deal for efficient mobility
– Introduction by Rémi Bastien, Mov’eo Chairman & Ludovic Busson, ESTACA Chairman
– Keynote : Richard Dujardin, CEO France, Transdev & Patrick Pelata, Chairman, Meta Consulting LLC
– Roundtable – European clusters :
Rémi BASTIEN, VP Automotive Prospective, Groupe Renault, Chairman of Mov’eo & VEDECOM Institute
Leo KUSTERS, Managing Director, AutomotiveNL
Maren LOUCHET, International Cooperation, e-mobil BW
Laura MORGAGNI, CEO, Torino Wireless
For the third consecutive time the Groupement ADAS (cluster) was present to the Autonomous Vehicle Technology World Expo at Messe Stuttgart 5-7 june 2018. Intempora and Nexyad represented the french-canadian cluster sponsorised by Mov’eo Imagine Mobility.
Edition 2018 was quite good, we propose a focus on some companies we saw to the convention.
The Elektrobit industry experts came to share their experience on how to effectively manage a functional and open HAD software architecture on an adaptive AUTOSAR infrastructure. They were keen to demonstrate how the functional software architecture with open interfaces and software modules is integrated on a high-performance microcontroller using an AUTOSAR adaptive middleware. In addition to the functional challenges, the transmission of integrity levels of automotive safety could be explained to you. EB booth visitors could appreciate why the advantage of combining an open software framework for automated driving with a reliable operating environment reduces time-to-market due to fast integration and first system-level testing.
ESI Group is a leading innovator in the field of virtual prototyping software and services. A specialist in materials physics, ESI has developed a unique skill to help industrial manufacturers replace physical prototypes with virtual prototypes, enabling them to manufacture, assemble, certify and pre-certify their future products. Coupled with the latest technologies, ESI now wants to anchor virtual prototyping in the broader product performance lifecycle concept, which addresses the operational performance of a product throughout its life cycle, from launch to disposal. The creation of a hybrid twin, based on simulation, physics and data analysis, allows manufacturers to deliver more readable and connected products.
Sigra Technologies was exhibiting its autonomous driving system, its components and services called Deep Einstein. Its products range from drive-by-wire embedded systems to decision-making based on a deep neural network. The company believes that an approach based on deep learning is the best way to handle hard-to-solve cases using traditional algorithms. During the exhibition, Sigra presented its new system for the demonstration of autonomous driving.
StreetDrone is an ambitious UK self-driving startup with a rich automotive, motorsport and entrepreneurial DNA. The streetDrone team is passionate about putting the AV revolution into the hands of the many , not just the few, providing the platform , data management system and functional safety, thereby allowing businesses and institutions to focus on their own development goals without having to worry about the cost and complication of vehicle hardware and systems engineering. StreetDrone is enabling the next generation of engineering to be involved in what is the most exciting area of technology today.
Veoneer is a leading system supplier for ADAS autonomous driving AD and advanced brake control solutions, and a market leader in automotive safety electronics products. With one of the oadest product portfolios in the larket, Veoneer is the forefront of innovation in the current revolution of the automotive industry. Veoneer takes on the challenge of automation and human-machine tion as vehicles become increasly intelligent.
Vector informatik is a leading manufacturer of software tools and embedded components for the development of electronic systems and their networking with many different systems from CAN to automotive Ethernet. Vector has been a partner of automotive manufacturers and suppliers and related industries since 1988; Its tools and services provide engineers with the decisive advantage to make a challenging and highly complex subject area as simple and manageable as possible. Worldwide customers in the automotive, commercial vehicles, aerospace, transportation and control technology industries rely on the solutions and products of the independent Vector Group for the development of future mobility.
The four algorithms products of Nexyad are now well known by automotive profesionals. Numerus companies worldwide integrated SafetyNex the on board Driving risk assessment in real time, combinable with the three camera-based modules: RoadNex for road detection (edges of road and bitumen free space); ObstaNex for obstacles detection (vehicles and pedestrians); and VisiNex for visibility measurement (fog and heavy rains detection, reliability, distance of visibility, etc.)
– Come to meet Nexyad at CES 2018 in Las Vegas – January 8-12
– NEXYAD giving the award of the best Insurtech startup «prix coup de cœur des assureurs 2017»,
organized by Cercle LAB (Laboratoire Banque Assurance) at Allianz Tower in Paris La Défense
– Nexyad invited speaker at UNESCO Conference on Artificial Intelligence : use case of autonomous vehicle
– SafetyNex driving risk assessment (20 times per second while driving): anticipation of danger
– INTEMPORA and NEXYAD, members of MOVEO Groupement ADAS interviewed on BFM Business (Major French TV)
– Bitumen Free Space Detection by Nexyad RoadNex module in real time on a Smartphone
– Nexyad on Groupement ADAS booth at Equip’Auto 2017
– Validation of ADAS Nexyad Database with ground reality
– Individual driving risk assessment and car insurance : what applications ? what business models ?
– SafetyNex can bring Artificial Intelligence into Autopilots in respect of ASIL ISO 26262
– Welcome to YOGOKO, new member of “MOV’EO” Groupement ADAS cluster
Come to meet Nexyad at CES 2018 in Las Vegas (Jan 8-12)
Nexyad invite you to visit us at the Leddar Ecosystem Pavillion at East LVCC – Central Plaza (booth CP-23)
If you want to reserve a meeting slot, please contact us at nexyadCES2018@nexyad.net
* * * * *
NEXYAD giving the award of the best Insurtech startup « prix coup de cœur des assureurs 2017», organized by Cercle LAB (Laboratoire Banque Assurance) at Allianz Tower in Paris La Défense
Gerard Yahiaoui at Cercle Lab
Last year Nexyad won the special prize “Coup de Cœur” by french insurers of Cercle Lab with SafetyNex the driving risk assessment App in real time. For this, Gerard Yahiaoui CEO of Nexyad handed the 2017 new prize to the winner KAP-Code represented by Adel Mebarki. Kap-Code is dedicated to improve the care of chronic diseases and the detection of drug safety signals on social networks thruth 3 solutions : helping patients and health advisors with connected objects, Digital Health that allows profesionals to provide care for their patients and harnessing Big Data for science.
Adel Mebarki, head of innovation of Kap-Code
* * * * *
Nexyad invited speaker at UNESCO Conference on Artificial Intelligence : use case of autonomous vehicle
Nexyad CEO Gérard Yahiaoui A.I. expert was invited to speak (invited paper) in a conference in Paris on Artificial Intelligence (JNI/IESF, Under the patronage of UNESCO, 2017 Oc 19). He talked about Artificial Intelligence for Autonomous Vehicle : “Intelligence Artificielle pour le Véhicule Autonome, et exemple de réalisation : SafetyNex”. Very interesting papers during this day showing a broad range of AI applications (automotive, fashion, HR management, Legal, …). More than 400 people in the audience.
Gerard Yahiaoui explaning difference between A.I. and complex automation for autonomous driving
* * * * *
SafetyNex driving risk assessment (20 times per second while driving): anticipation of danger
SafetyNex estimates driving risk 20 times per second, during driving (real time).
On the following figure, you can see risk rising when approaching a stop sign with an inappropriate car speed :
Speed of the car is quite high before the STOP sign and Risk goes to the maximum with a vocal alarm to the driver which have time to slow down or brake to stop.
This estimation is computed INSIDE the local device (inside the car). Current implementation is on smartphones (IOS and Android), then computing of risk is completely done INSIDE the smartphone : that makes SafetyNex compliant with all driver’s privacy regulations and laws in Europe.
INTEMPORA and NEXYAD, members of MOVEO Groupement ADAS on BFM Business (Major French TV)
1st Nov 2017, the Tech & Co tv show on the subject : will self-driving car come sooner than expected ?
Nicolas du Lac & Gerard Yahiaoui
Nicolas du LAC, INTEMPORA, and Gerard YAHIAOUI, NEXYAD, presented their innovations and explained how the MOVEO Groupement ADAS helps to be stronger for their innovative startups.
Nicolas talked about RT-MAPS that is a software tool for R&D, making easy the task of developing applications with multiple sensors (cameras, lidar, radar, …) that of course are not synchronized and that must collaborate through algorithms of sensor fusion in order to get good objects detection and recognition.
Gerard talked about SafetyNex that is an onboard real time module that is the only module in the world that can estimate driving risk 20 times per second. Self-driving car can then know the risk it takes with and it simplifies the development of autopilot (example : “if risk too high then slow down”).
* * * * *
Bitumen Free Space Detection by Nexyad RoadNex on Smartphone
RoadNex detects free space on road with negative detection of obstacles as vehicle on the video below.
* * * * *
Nexyad present with Groupement ADAS at Equip’Auto 2017
Philippe Orvain, CEO of Nomadic Solutions
Nexyad was present with Groupement ADAS at Equip’Auto Congress in Paris. Groupement ADAS is a SME’s cluster : 10 companies with expertise in the field of Advanced Driver Assistance Systems, Connected car and Autonomous vehicle. Philippe Orvain CEO of Nomadic Solutions and competitiveness cluster MOV’EO Vice President has responsed to journalist Laurent Meillaud on Congress TV channel.
Watch Philippe Orvain interview on the congress channel with SafetyNex video demo :
* * * * *
Validation of ADAS Nexyad Database with ground reality
Free space ground reality (for RoadNex) and obstacles ground reality (for ObstaNex)
The NEXYAD company is currently developing the construction of a database for the validation of systems of driver assistance and driving delegation, (ADAS and Autonomous car) using the AGENDA methodology published in the 1990s by Gérard Yahiaoui in the field of machine learning and artificial neural networks applications. Here is an example of ground reality : ground reality is needed in order to automate performance / KPIs measurement when you modify the perception system.(methodology initially intended to handle, among other things, the construction of learning databases and tests for the implementation of neural networks).
This database has two essential characteristics:
1) Real-life situations
Indeed, the AGENDA methodology recommends describing the possible variations of signals and input images as factors of variability and their crosses.
Example, for obstacle detection:
. weather (dry weather, sunny weather, rain, fog) . overall brightness (low, medium, high)
. vehicle speed (low, moderate, high)
. type of road (motorway, road with marking, road without marking, …)
. coating (bitumen 1, bitumen 2, …, pavers)
. day / night (car headlights and infrastructure lighting)
. season (spring, summer, autumn, winter)
. etc.
NEXYAD’s ambition is to propagate its methodological expertise and to enable everyone to evaluate the performance of vision systems for ADAS, be they systems developed by NEXYAD or others.
Individual driving risk assessment and car insurance : what applications ? what business models ?
As many people know now, NEXYAD has been developing the first real time driving risk assessment system called SafetyNex.
SafetyNex is currently available in B2B :
. as a smartphone App (Android and IOS)
. as a real time driving risk assessment API that OEMs and Insurers may integrate into their own smartphone App or into their own telematics or ADAS device (Android, iOS, Linux, Windows).
This real time driving risk assessment module has been validated on 50 million km, and applies proven methods for risk assessment, using, for instance, the Frank E. BIRD “safety triangle” concept, and running in real time a knowledge-based system AI that has been built by NEXYAD since 2001. It took 15 years to extract thousands of road safety knowledge atoms from experts of 19 countries. Some of this knowledge is directly operational, some is deep knowledge on detection theory (a mix of Information Theory and Knowledge on Human Brain abilities). And of course, SafetyNex also applies fundamental knowledge on mechanics (braking abilities, …) including complex issues such as grip for example.
Complex Automation MUST be ASIL ISO 26262.
Artificial Intelligence CANNOT BE ASIL ISO 26262 (by definition) and acts only on parameters of Complex Automation doing ++/– – variations, never skipping « reflexes actions » (emergency braking, etc), but allowing anticipation speed adaptation to reduce frequency of emergency situations (and then give more margin to reflexes actions and also improve comfort). Maximum acceptable Driving Risk can be changed depending on driving situation in order to set « aggressivity level» of HAV.
* * * * *
Welcome to YOGOKO, new member of “MOV’EO” Groupement ADAS cluster
In november, cluster Groupement ADAS, from Mobility and Automotive R&D competitiveness national cluster Mov’eo, welcomed YOGOKO as new member. It makes eleven players like a football team, and we hope to score goals in the Automotive market competition.
YoGoKo is a startup company founded in 2014 by employees from three research institutes : Mines ParisTech, Telecom Bretagne and Inria. YoGoKo makes use of software developed in teams specialized in Internet technologies (RSM at Telecom Bretagne) and robotics (CAOR at Mines ParisTech and RITS at Inria). These research teams have been working together since 2006 on innovative communication solutions applied to Intelligent Transportation Systems. They contributed to several collaborative R&D projects related to ITS (CVIS, ITSSv6, GeoNet, DriveC2X, SCORE@F, …).
In 2012, these laboratories engaged together into the development of a common demonstration platform which comprises connected vehicles (fleet of conventional vehicles from Mines ParisTech and fleet of autonomous vehicles from Inria), roadside equipments and cloud-based services.
YoGoKo demonstration platform was finally revealed on Feb. 11 th 2014 during the Mobilité 2.0 event organized by the French Ministry of Transport. This successful demonstation and the extremely warmfull feedack gained at this occasion triggered the launch of YoGoKo as a company.
INTEMPORA and NEXYAD, members of MOVEO Groupement ADAS on Major French TV (BFM Business)
1st Nov 2017, the Tech & Co tv show on the subject : will self-driving car come sooner than expected ?
Nicolas du LAC, INTEMPORA, and Gerard YAHIAOUI, NEXYAD, presented their innovations and explained how the MOVEO Groupement ADAS helps to be stronger for their innovative startups.
Nicolas talked about RT-MAPS that is a software tool for R&D, making easy the task of developing applications with multiple sensors (cameras, lidar, radar, …) that of course are not synchronized and that must collaborate through algorithms of sensor fusion in order to get good objects detection and recognition.
Gerard talked about SafetyNex that is an onboard real time module that is the only module in the world that can estimate driving risk 20 times per second. Self-driving car can then know the risk it takes with and it simplifies the development of autopilot (example : “if risk too high then slow down”).
Tech&Co est le nouveau RDV de l’actu du numérique sur BFM Business réalisé avec 01net.com. Sébastien COUASNON et ses invités commentent les grandes tendances qui bouleversent les acteurs de l’économie : voiture autonome, drones, réseaux sociaux,…
Et si le véhicule autonome arrivait plus tôt que prévu ?
Ce mercredi 1er novembre 2017, Sébastien Couasnon et ses invités se sont intéressés à l’arrivée des voitures autonomes sur nos routes. Et si le véhicule autonome arrivait plus tôt que prévu ? On en parle avec: Jean-Edmond Coutris, directeur du département Automotive chez Emerton. Gérard Yahiaoui, vice-président de Mov’eo. Et Nicolas Du Lac, fondateur d’Intempora. – Tech & Co, présenté par Sébastien Couasnon, sur BFM Business.
– Road accident and driving risk are two different notions
– Nexyad at AutoSens Brussels 2017
– Enova Symposium Paris 2017
– Connected & Self-driving Car Meetup #9
– Academic chair at MOV’EO with INSA Rouen
– Sensor fusion and data fusion with SafetyNex
– SafetyNex : Understanding the Concept of Risk
– NEXYAD : the story
– Navigation Based ADAS : use SafetyNex to build ACC and anticipation (predictive) brake systems
Road accident and driving risk are two different notions
A lot of professionals that must cope with road safety observe accident through statistics : it seems to be normal to think that safety is low where there are a lot of accidents and that safety is high where there are few accidents.
This reality tends to make people confuse the two notions : risk and accident.
And since you stay at the statistic level, then it works : if 99% of people that played russian roulette more than 50 times have died (accident), then you can say that russian roulette is risky (risk).
Insurance companies, fleet managers, have taken into account those statistics, in order to estimate their future costs, and compute their pricing.
But now, digital connected devices are available at the very individual and local level : telematics (professional devices installed into cars), smartphones, connected car, can estimate the driving behaviour in real time and they know exactly where you drive.
Then, what this new technology brings to risk assessment ? and can you still apply at the individual level the ideas that was set at a population (statistics) level ?
That question was studied in 1969 by an American University Professor that was also a researcher for the company “Insurance of North America”, Frank E. BIRD, and a key notion was then used : the “incident” or “near miss accident” or “quasi accident”. It was shown that the risk you take does not lead to accident but to “quasi-accident”. Indeed, even in very risky situations, accident can be avoided most of the time at the very last second ! Frank E. BIRD worked on what was called “The Triangle of Risk” or “Safety Triangle”
Sometimes, you do not have luck … and then you have an accident instead of having a quasi-accident.
Example of Statitical Relationship in Risk Assessment : from Behaviour to Fatalities
Then accident is the confluence of “risk you take” and “bad luck”. It is interesting to notice that, if you do not study the individual and local (in space and time) level, so if you consider a large population of drivers during a long duration, then “bad luck” automatically disappears… and so risk can be measured by observation of accident. But at the individual and local levels, risk cannot be measure by observing accident.
It is interesting to read about Safety Triangle and then have a clear idea of links between RISK, ACCIDENT, SEVERE PERSONAL INJURIES.
In road Safety concerns, researchers and experts have been working during 50 years on this concept of quasi-accident and they accumulated data and knowledge about this key notion. Let us resume the russian roulette comparison : pulling the trigger is the quasi-accident … and sometimes you die (accident). But even before playing such a “game” you KNOW that it is risky.
The knowledge of risk is represented by a collection of cause-effect relationships.
There is a knowledge-based artificial intelligence system that gathered the knowledge from road safety experts and researchers (that work mainly on road infrastructure) and that is now available in order to assess driving risk in real time : SafetyNex developed by the company NEXYAD. SafetyNex is the “thermometer” of driving risk and it alerts the driver BEFORE the dangerous situation, letting time to slow down and then potentially to avoid accident, to reduce severity (less personal severe injuries), …
Obviously, markets are :
. car insurance (prevention, severity, UBI)
. fleet management (prevention, reduction of costs, fit in regulations and laws)
But even the automotive can take benefit of suche a real time driving risk assessment module :
. intelligent navigation with risk vocal alerts
. automatic triggering of braking for ADAS (if risk too high then slow down)
. driverless cars : giving to the artificial intelligence that drives the car the perception of the risk it takes…
SafetyNex opens the door to a new generation of onboard applications for every field of automotive sector that is concerned with risk and safety. Read more
* * * * *
Nexyad at AutoSens Brussels 2017
AutoSens took place at the AutoWorld Museum in Brussels September 19-21.
To answer the issues of Connected Cars and Autonomous Cars, engineers need first to give eyes, ears and A.I. to future vehicles. Sensors will play this crucial and difficult role of replacing the human senses.
Engineers and sensors providers met for three days of conferences and workshops.
Groupement ADAS was present with Leddartech the lidars canadian company that rose 100 M$ funding, New Imaging Technologies with their unique high dynamic range camera sensors, Intempora that provide famous RT-Maps, and of course Nexyad presented his three camera-based software modules for Road Detection – RoadNex, for Obstacles Detection – ObstaNex, for Visibility Measurement – VisiNex and SafetyNex – the Road Safety system with sensors fusion and data fusion (digital map, accelerometers, GPS, cameras, lidars, radars, ultrasounds, weather data, traffic data, etc.).
New players appeared as Crowdflower or Mighty Ai, they are plateforms that help you process your data or images very quickly by dividing the workload with very many people registered online.
* * * * *
Enova Symposium Paris 2017
Round Table at ENOVA symposium in Paris, on the subject of self-driving car
(see from left to right)
. Vincent ABADIE, Vice-President Expert Leader Autonomous Vehicle and ADAS, PSA Group
. Jochen LANGHEIM, Vice-President advanced systems R&D programs, ST MICROELECTRONICS
. Jean-François SENCERIN, Autonomous Driving NFI/PFA Program Director
. Gérard YAHIAOUI CEO, NEXYAD
. Guillaume DEVAUCHELLE, Vice-President Innovation, VALEO
. Alain PIPERNO, Expert Safety & Autonomous Vehicle, UTAC
The audience could listen to this experts panel and ask questions about connected and driverless cars.
Journalist : Laurent MEILLAUD
ENOVA, Paris, Porte de Versailles
3 days of exchanges and conviviality at the service of Innovation + Business Meetings driven by THE NEW NEEDS OF CONNECTIVITY. Read more about the Event
* * * * *
Connected & Self-driving Car Meetup #9
Nexyad was invited to the Connected & Self-driving Car Meetup #9 at Le Square (Renault’s innovation lab in Paris), on september 13.
Thanks to the perfect organisation of Laurent Dunys and Bruno Moncorge.
A large audience listened presentation about vehicles and data security with Nabil Bouzerna of IRT SystemX. Finally, Jean-François Menier, lawyer at Elyos Avocats gave a very interesting wrap-up about the potential responsibility of a driver in the case of a connected / self-driving car accident and of course about driver and passengers safety with SafetyNex App : real time driving risk assessment.
* * * * *
Academic chair : effective collaboration between MOV’EO groupement ADAS and INSA Rouen
MOV’EO Groupement ADAS built an academic chair with INSA ROUEN (option Intelligent Transportation) on ADAS and driverless cars.
The first course was given by Gérard YAHIAOUI, CEO of NEXYAD, the 13th of September 2017 in Rouen : presentation of key notions (near missed accident, driving risk), and presentation of SafetyNex (real time driving risk assessment) and applications to car insurance, fleet management, ADAS, and driverless cars.
* * * * *
Sensor fusion and data fusion with SafetyNex
SafetyNex is a real time driving risk assessment system. Of course, Driving Risk makes everyone think of car insurance and fleet management. And it is a natural application (deployment has already started). But it is important to note that Driving Risk is also a key notion for ADAS and Driverless car.
Indeed, Driving Risk happens when there is no adequation between Driving Behaviour and Driving Context. ADAS and Driverless act on Driving Behaviour :
. ADAS modifies Driving Behaviour : braking when the human driver did not, etc …
. Driverless car creates Driving Behaviour : there is still a driver called “artificial intelligence”.
Driving context is measured :
. Map Electronic Horizon
. GPS
. Accelerometers
. Times to collision (front and rear)
. Number of vulnerables around (even on sidewalks)
. Atmospheric visibility / weather condition (fog, pouring rain, etc.)
. X2Car Data Streams (accident, weather alert, construction area, etc.
So you can now imagine that if you have the opportunity to ESTIMATE adequation between Driving Behaviour and Driving Context, then you can build much more relevant ADAS and Driverless Artificial Intelligence (adequation or inadequation).
You may notice that Driving Context is measured through heterogenous sensors and data streams. It brings no difficulty to SafetyNex that uses Fuzzy Sets and Possibility Theory to estimate adequation, givin a Driving output called Driving Risk (that you should want to minimize under constraints of mobility efficiency).
Then SafetyNex is actually a sensor and data fusion system (high level fusion), much more efficient than every fusion systems that you ever developed, because it generates a variable (Driving Risk) that is a KEY NOTION for driving and is EASY TO UNDERSTAND AND USE.
NEXYAD implemented a low cost version with only the first 3 inputs (more than 5,000 road safety rules to cope with the infrastructure dangers …) and is now implementing simple rules to take into account mobile context. Example: “the shorter the time to collision, the higher the risk”. And that’s it ! The knowledge based artificial intelligence of SafetyNex automatically does the fusion with the 5,000 rules. There is no need to “weight” the rules, as possibility theroy allows a fusion with every rule competing with the others … Elegant applied maths to a problem that most engineers describe in a so complicated way that it becomes impossible to solve.
We really encourage ADAS and Driverless engineers to come to us and simply integrates SafetyNex (low CPU consumption, easy real time, etc.) and then get NOW a proven sensor fusion and data fusion system that works. This gives ONE dimension of Driving Systemic Analysis items: Driving Risk, in real time.
Of course, if you do the systemic analysis you will find other dimensions of interest (we let you do that, we’ve done it for ourselves, trace of the military research past of NEXYAD founders).
SafetyNex is now under implementation by big ADAS OEM companies. Series deployment will start in 2018. We will be glad to help you being a part of it.
* * * * *
SafetyNex : Understanding the Concept of Risk
SafetyNex App is a real time driving risk assessment. We present below 3 videos to explain as simply as possible the concept of driving risk.
Luck doesn’t change the risk that the driver takes. It means that risk taken by the « lucky risky driver » is exactly the same than risk taken by the « unlucky risky driver ». It is possible then to detect risky drivers before they have accident (anticipation of costs). Once detected, it is possible to train them (prevention program).
Because SafetyNex driving risk assessment is done in real time, it is possible to alert the driver (when risk is higher than an acceptable value), and if driver slows down, then risk never rises at the red level. It is an onboard prevention system (ADAS).
Observation of accidents on a short period of time (3 months for instance) may not show any difference between « cautious driver » and « lucky risky driver » (both of them may not have accident). It is a big problem for UBI, and SafetyNex brings the solution as it anticipates accident (sooner or later the « lucky risky driver » will have a severe accident).
All you have to know about the french High Tech company.
NEXYAD is a “fake startup” (much older than it seems ^^) set up in 1995 by maths research engineers (Pierre DA SILVA DIAS & Gérard YAHIAOUI + other shareholder : researchers, finance executives, engineers). Founders came from military research (anti-tank missiles), with a strong culture of computer vision, machine Learning, artificial intelligence, signal theoy and processing, stats and data analysis.
During years we were the extended maths team of famous big firms in many fields : defence, automotive, banking, insurance, energy, cosmetics, agri-food, glass, railways, … Customers were research departments first, and then product and marketing departments, sales departments, industrial labs, manufactures, actuaries, etc.
In the automotive sector, we’ve been involved in a lot of different high level maths works such as :
. production/manufacture (work for PSA Group, Charleville),
. industrial Lab (work for PSA Group – Belchamp,TOYOTA Europe – Brussels, Robert BOSCH GmbH, Bühlertal, VALEO, La verrière – SAINT GOBAIN, … etc.)
. research & development for PSA Group, RENAULT, NISSAN, IEE, DAIMLER, FAURECIA, LE LAB (PSA RENAULT), on perception by camera, radar, capacitive sensors, ultrasound, infrared, etc … , vehicle dynamics (active control), sensorial analysis (touch smell perception of texture by vision), human factor analysis, detection of passengers on seats, odor gas sensors, artificial intelligence, epidemiologic analysis (pollution, particles, …), etc.
Navigation Based ADAS : use SafetyNex to build ACC and anticipation (predictive) brake systems
Imagine a robotized car that would slow down automatically when approaching a tiny curve, or an intersection or a priority, of a stop sign, etc … if needed (i.e. if and only if the current speed and acceleration of the car is not appropriate to the driving context). Sounds interesting ?
It would be then “smooth anticipation braking” (from 0.1 to 0.3 g) instead of “emergency braking” (so easier to do and not that disturbing for driver and passengers comfort in the car). Doing this, the car dramatically decreases the probability to be kept in a dangerous situation and it let much more margin to emergency brake if still needed.
Finally, it would mean that the car follows road traffic code plus safety rules (anticipation).
This is easy to achieve using NEXYAD real time driving risk assessment module SafetyNex : SafetyNex reads “Electronic Horizon” (reading POIs and decoding shape and dimensions of the infrastructure ahead), “GPS“, “accelerometers“, and can accept additional inputs such as “time to collision“, “size of free space“, “position in the lane“, “atmospheric visibility“, alert data streams (weather, accident, traffic, …). All those heterogenous data are used (data fusion) to estimate driving risk in real time : Driving Risk (t)
Then everytime that Driving Risk(t) comes higher than an acceptable threshold value, the robotized car slightly slows down … and that’s it ! SafetyNex is the result of 15 years of collaborative research and it works.
Markets : Car insurance and fleet managers (for real time alert and risk profiles recording), ADAS (for automatic predictive/anticipation brake), and Driverless car (Automated car that follows Road Traffic Code).
SafetyNex is Under deployment, please feel free to try it and put it into your own products (available as an API).
Keywords : Adaptive Cruise Control, ACC, Intelligent ACC, Intelligent Cruise Control, navigation-based, navigation-based ADAS, NB ADAS, ADAS, Advances Driver Assistance Systems, Anticipation brake, Predictive Brake, SafetyNex, Risk, Driving Risk, Real time driving risk assessment, road traffic code, SafetyNex, electronic horizon, GPS, accelerometers, time to collision, free space, size of free space, position in the lane, lane departure, visibility, atmospheric visibility, data stream, weather, accident, traffic, data fusion,…
AutoSens took place at the AutoWorld Museum in Brussels September 19-21.
To answer the issues of Connected Cars and Autonomous Cars, engineers need first to give eyes, ears and A.I. to future vehicles. Sensors will play this crucial and difficult role of replacing the human senses.
Engineers and sensors providers met for three days of conferences and workshops.
Groupement ADAS was present with Leddartech the lidars canadian company that rose 100 M$ funding, New Imaging Technologies with their unique high dynamic range camera sensors, Intempora that provide famous RT-Maps, and of course Nexyad presented his three camera-based software modules for Road Detection – RoadNex, for Obstacles Detection – ObstaNex, for Visibility Measurement – VisiNex and SafetyNex – the Road Safety system with sensors fusion and data fusion (digital map, accelerometers, GPS, cameras, lidars, radars, ultrasounds, weather data, traffic data, etc.).
New players appeared as Crowdflower or Mighty Ai, they are plateforms that help you process your data or images very quickly by dividing the workload with very many people registered online.
Since yesterday started the 2017 Autonomous Vehicle Symposium in Stuttgart.
The Nexyad Booth 2015 is located in Hall 2C (just beside catering area).
We present our modules based on Artifical Vision and A.I. for ADAS, Connected Cars and Driverless.
This year Groupement ADAS is represented by Intempora, New Imaging Technologies, Sherpa Engineering and Nexyad.
Nexyad booth at Hall 2C
We use cookies to understand how you use our site and to improve your experience. By continuing to use our site, you accept our use of cookies. AcceptPrivacy & Cookies Policy Read More
Privacy & Cookies Policy
Privacy Overview
This website uses cookies to improve your experience while you navigate through the website. Out of these, the cookies that are categorized as necessary are stored on your browser as they are essential for the working of basic functionalities of the website. We also use third-party cookies that help us analyze and understand how you use this website. These cookies will be stored in your browser only with your consent. You also have the option to opt-out of these cookies. But opting out of some of these cookies may affect your browsing experience.
Necessary cookies are absolutely essential for the website to function properly. This category only includes cookies that ensures basic functionalities and security features of the website. These cookies do not store any personal information.
Any cookies that may not be particularly necessary for the website to function and is used specifically to collect user personal data via analytics, ads, other embedded contents are termed as non-necessary cookies. It is mandatory to procure user consent prior to running these cookies on your website.
Example of Statitical Relationship in Risk Assessment : from Behaviour to Fatalities
