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
Gérard YAHIAOUI presented Artificial Intelligence SafetyNex at Meetup « Connected Vehicles : Technologies and Applications organized by Laurent Dunys, COO of Xmotion. This meetup took place at Dunasys with a speech of Frédéric Lassara to explain Dunasys activities.
Nexyad CEO speaker at Challenge Startup & Innovation Summit
CEO OF NEXYAD WAS A SPEAKER AT THE PARIS CHALLENGE STARTUP & INNOVATION SUMMIT ON AI (ARTIFICIAL INTELLIGENCE) 2019 March 27th.
Vincent Beaufils interviewing Gérard Yahiaoui, Nexyad CEO
NEXYAD was pleased to participate to this summit on Artificial Intelligence. We could explain how our Artificial Intelligence -based software component SafetyNex is now embedded in many products worldwide and how it transforms industry (aftermarket for telematics – fleets & insurance -, new vehicles – cockpit and AD systems ).
We also explained how such a module, via a reward system, can be used by B2C mass market distribution firms to acquire consumers at low cost, in a « nudge » positive loop that will save many lives.
And we were very interested in other speakers presentations with so many different interesting point of views on AI.
Many famous speakers gave their view during the day, such as Jacques Aschenbroich, Valeo CEO; Luc Julia, Samsung CTO & Senior Vice President Innovation; Antoine Bordes, Facebook AI Research Director; Luc Bretones, Orange Technocentre Director; Jean-François Copé, former minister: Marko Erman, Thales Technical & research Director;
Lunch Time, from the left: Luc Julia – CTO of Samsung, Gérard Yahiaoui – CEO of Nexyad and Jacques Aschenbroich – CEO of Valeo
NEXYAD presenting SafetyNex for road accident prevention on the NEXYAD booth offered by French Government as a reward for the 2019 Innovation Prize of ROAD SAFETY that SafetyNex got last month from Ministry of Interior.
The French Road Safety invited other winners of 2019 Innovation Prize from different categories :
AWAKEN Caris a real solution to save motorists’ lives and reduce car theft. Real time notifications to emergency services, notifications during a vehicle theft, vehicle diagnostic, preventive maintenance, budget management and privacy policy.
ABEILLES is an editor of Kid’s Educational Games from 3 to 12 years old, around Road Safety, Nutrition, First Aid, Health, Environment & Discovery.
GOOD ANGEL provides a revolutionary Connected Alcohol Sensor, in order to reduce the risk of drunk driving and to compensate for the lack of management solutions for drivers under the influence of alcohol and accompanying passengers. The reusable device is connected to user’s smartphone. In case of positive detection, a concierge service is proposed to pick up driver and passengers 24/7.
ELLCIE HEALTHY proposes smart connected frames designed to look after user everyday without any discomfort. They will evolve thanks to software updates, and user will be able to benefit from new features with the same connected eyewear purchased. Today their connected eyewear detects drowsiness; tomorrow they will detect falls, and even prevent them, allow activity tracking and a lot more.
G-ADDICTION is an association that organized Escape Games on themes like:alcohol, speed, drugs, phone and hands-free kit while driving; seatbelt; dangers of 2 wheels; compliance with the Road Code, pedestrians, and disability after the accident.
Abeilles top left, G-Addiction top right, Awaken Car down left and Good Angel down right
* * * * *
Rotary Digital Meeting 2019
2019, 10th April, at the prestigious Engineering School Mines ParisTech in Paris, the Rotary club has organized a Conference about Artificial Intelligence and Machine Learning.
Artificial Intelligence is developing in many sectors including automotive. Zérotracas met Gérard Yahiaoui, CEO of Nexyad, who presented his SafetyNex driver alert solution. Thanks to its embedded artificial intelligence, SafetyNex computes at every moment the risk taken by the driver and the alert case of risk taking too important to improve its safety and avoid the accident.Check out the company that received the Innovation Award for Road Safety for this solution.
2019, 10th April, at the prestigious Engineering School Mines ParisTech in Paris, the Rotary club has organized a Conference about Artificial Intelligence and Machine Learning.
Nexyad CEO speaker at Challenge Startup & Innovation Summit
CEO OF NEXYAD WAS A SPEAKER AT THE PARIS CHALLENGEr STARTUP & INNOVATION SUMMIT ON AI (ARTIFICIAL INTELLIGENCE) YESTERDAY, 2019 March 27th.
NEXYAD was pleased to participate to this summit on Artificial Intelligence. We could explain how our Artificial Intelligence -based software component SafetyNex is now embedded in many products worldwide and how it transforms industry (aftermarket for telematics – fleets & insurance -, new vehicles – cockpit and AD systems ).
We also explained how such a module, via a reward system, can be used by B2C mass market distribution firms to acquire consumers at low cost, in a « nudge » positive loop that will save many lives.
And we were very interested in other speakers presentations with so many different interesting point of views on AI.
Vincent Beaufils interviewing Gérard Yahiaoui, Nexyad CEO
NEXYAD Deep Tech Startup : AI and XAI onboard real time software modules for road safety applicable to ADAS, Autonomous Driving, Car Insurance, Fleet Management, and new Smart Mobility Services.
NEXYAD Executive Pitch video by CEO Gérard Yahiaoui.
NEXYAD CEO speech at « Université des savoirs » of ORANGE Goup : Artificial Intelligence for Automotive
Gérard Yahiaoui talk on front of more than 120 head représentatives of ORANGE Group, october 4th in Clamart.
Program :
. What is Artificial Intelligence ?
. Techniques developed by AI Researchers
. Different between AI and Complex Automation
. Business Models of AI in big companies
. Example of SafetyNex (Real Time Driving Risk Assessment)
. Autonomous Vehicle
. Vocal Driving Assessment
. Customers Acquisition
. Conclusion
NEXYAD is starting a new image capture campaign in the summer heat of Paris suburb. Those new captured videos will sample the issue of strong casted shadows and will show robustness of our two Artificial Intelligence perception algorithms RoadNex (road border detection even without markings and free space detection) and ObstaNex (obstacles detection).
Database of NEXYAD applies the methodology A.G.E.N.D.A. (Approche Générale des Etudes Neuronales pour le Développement d’Applications) that allows to train deep learning with a compact learning database (knowledge-based selection of learning and of validation examples) with much better performance than with randomly selected massive databases.
Yes it is possible ! …
NEXYAD can then re-train ANNs for a special cam for instance, very quickly, with real maths KPIs instead of poor « percentages » estimators of effectiveness and robustness.
Try our AI perception algorithms, it will change a few things :
. VERY robust detection
. low computer load consumption (runs on regular architectures)
. retrainable quickly is sensor technology evolves
– 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
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
NEXYAD will be present at Autonomous Vehicle World Expo 2018 in Stuttgart, June 5 – 6 – 7
Come to visit Nexyad on Groupement ADASbooth 2015/hall C
Discover our 4 Artificial Intelligence Algorythms for ADAS, Autonomous Driving and Telematics
SafetyNex : Real Time Driving Risk Assessment
Fusion of Digital Map with Sensors, combinable with RoadNex, ObstaNex and VisiNex
Artificial Intelligence giving Safety to your Driver Assistant or your Autonomous Driving Systems
VisiNex : Measurement and Score of Visibility
Detection of Lack of Visibility, Fog, Heavy Rains, etc… on front of Vehicle
Artificial Mono Vision Algorythm for Autonomous Driving & ADAS
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).
Watch this 2 minutes video showing 5 concrete examples of driving situations where the eyes of the driver and the ADAS sensors of the vehicle are not sufficient to prevent accident.
NEXYAD Automotive & Transportation Newsletter #22, April 17th, 2018
4 disruptive AI algorithms for automotive mobility by NEXYAD
Headlines :
– SafetyNex episode 4 : Driving Risk Assessment for Automotive (Driving Assistant, ADAS, Autonomous Driving)
– CNEJITA Seminar on Artificial Intelligence: who will be responsible ?
– SafetyNex : driving robot maybe will mitigate human errors, but first they have to imitate good drivers
– « Theory of Water Flush » and Impact on the Prevention of Accidents for Autonomous Vehicles
– 4 disruptive AI algorithms for automotive mobility
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