Groupement ADAS on their booth at MONDIAL.TECH.
Many good contacts for NEXYAD : potential OEMs, and other kinds of integrators for our 4 Artificial Intelligence software modules :
. SafetyNex : real time Driving risk assessment
. VisiNex : detection of lacks of visibility (fog, rain, sand, snow, …)
. RoadNex : detection of road borders and detection of free space
. ObstaNex : detection of obstacles (cars, …)
Headlines :
– 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
Headlines :
– Road accident and driving risk are two different notions
– Nexyad at AutoSens Brussels 2017
– Connected & Self-driving Car Meetup #9
– Academic chair : effective collaboration between MOV’EO groupement ADAS and INSA Rouen
– Sensor fusion and data fusion with SafetyNex
– SafetyNex : Understanding the Concept of Risk
– Navigation Based ADAS : use SafetyNex to build ACC and anticipation (predictive) brake systems
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
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.
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
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.
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.
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 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).
More info : http://www.safetynex.net
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.
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
– New Rating of Nexyad by Early Metrics
– BIKER ANGEL Project selected for Government funding (FUI23)
– Conference on Machine Learning organized by SNCF
– Nexyad Paper at 1er European Conference on Connected and Automated Driving
– Meeting Mov’eo, Systematic and Cap Digital
– Nexyad has visited 6th “les Rencontres Flotauto”
– Nexyad in Media
– SafetyNex available on stores for testers (Apple and Google)
– Groupement ADAS welcomed New Member NIT New Imaging Technologies
– Articifial Vision Products of Nexyad
– New Rating of Nexyad by Early Metrics
– BIKER ANGEL Project selected for Government funding (FUI23)
– Conference on Machine Learning organized by SNCF
– Nexyad Paper at 1er European Conference on Connected and Automated Driving
– Meeting Mov’eo, Systematic and Cap Digital
– Nexyad has visited 6th “les Rencontres Flotauto”
– SafetyNex available on stores for testers (Apple and Google)
– Groupement ADAS welcomed New Member NIT New Imaging Technologies
– Articifial Vision Products of Nexyad
Early Metrics is an European rating agency of startups and SMEs.
The FUI23 French collaborative research program published the list of projects that are approved : The project BIKER ANGEL (adaptation of the real time driving risk assessment module SafetyNex to motorbikes) is selected !
Biker Angel Project led by NEXYAD was already labelised by Competitiviness Cluster FINANCE INNOVATION.
Le programme de recherche collaborative FUI23 (Fond Unifié Interministérielle) a publié la liste des projets approuvés : BIKER ANGEL est sélectionné (adaptation du logiciel de mesure du risque en conduite temps réel SafetyNex pour la moto).
Le projet BIKER ANGEL porté par NEXYAD avait déjà été labelisé par le Pôle de Compétitivité FINANCE INNOVATION.
Very interesting conference on Machine Learning and Deep Learning.
SNCF RESEAUX welcomed a large audience last tuesday 28th march in Saint Denis.
French experts of A.I. field were introduced by Claude Solard SNCF réseau Chief Operating Officer and Jean-Jacques Thomas Director of Innovation.
Christophe Garcia, Full professor at INSA Lyon, deputy director of the LIRIS laboratory, gave an introduction to Neural Networks and Artificial Intelligence and answered to the audience’s questions.
Then, Gérard Yahiaoui, CEO of Nexyad, Vice President of the MOV’EO Cluster, explained the Criteria for use and Methodology for implementation: the methodology AGENDA.
Gérard Yahiaoui CEO of Nexyad
From CEA List, Jean-Marc Philippe presented “from the Neural Network Tools to the Optimized System”. The conference continued with a roundtable about the SNCF Cafeine Project or how to go from the industrial need to the applied solutions in SNCF Réseau; animated by Alain Rivero, SNCF Réseau Director of Cafeine Project; Xavier Roy, Head of Innovation of ITNovem; Michel Paindavoine, co-founder of Global Sensing Technologies and professor at University of Bourgogne; and Jean-Jacques Thomas Director of innovation of SNCF Réseau.
The CAFEINE Project proposes to use the Artificial Neural Networks to detect the defects of pantographs on moving trains, and also to read the number of each wagons, oars and containers.
Another roundtable was organized about Startups and A.I. with Kunthirvy Collin-Dy, Head of relationships with Startups of SNCF Réseau Robot Lab; and Yannick Gérard, Head of Project of DAVI.
Patrick Bastard, Director of Driving Assistance Systems engineering of Renault, ended the conference with a presentation on an opening to other fields of application : vehicles electrification, ADAS and autonomous driving.
From the left : Jean-Marc Philippe, Patrick Bastard et Christophe Garcia
Machine Learning and Artificial Intelligence for Intelligent Connected Car : The Validation Issue.
A paper by Brahim Yahiaoui, Pierre Da Silva Dias and Gérard Yahiaoui
First European Conference on Connected and Automated Driving
3-4 april 2017 – European Commission, Charlemagne Building, Brussels
– How to concile high complexity of A.I. with ASIL standard that needs a system to be fully predictable ?
– How to make sure that machine learning based behaviour will be adapted to new cases ?
– A Conception AND Validation methodology : « AGENDA »
A networking event took place at Cap Digital in Paris, the 16th of march. In the presence of Christophe SIRUGUE, Secretary of State for the Digital and Innovation Industry, the goal of this meeting was to bring together SMEs or startups offering innovative technologies or services for the connected vehicle.
Jean-Luc Moullet, Director of the competitiveness program, industrial and transport , Investment advisory services for the government, introduced the support mechanisms available under the Investments Program of the Future. Jean-Luc BROSSARD, R&D Director of PFA spoke about the Dynamics of innovation and needs of the automotive sector and mobilities. Anne Laliron, Director of Business Lab for PSA, gave a car manufacturer vision for the future. Gérard Yahiaoui, CEO of Nexyad and vice-president of Mov’eo, Michaël Fernandez, CEO of Drust, and Thierry Ernst, CEO of YoGoKo, advocated view for SME’s and Startups. Then Marc Charlet, Managing Director of MOV’EO, Patrick Cocquet, General Delegate of Cap Digital Hub, and François Cuny, General Delegate of Systematic Hub, discussed about Hub contributions. Christophe Sigure concluded this information-sharing.
Thierry Ernst on the left with the mic, Michaël Fernandez and Gérard Yahiaoui on the right
On Thursday, March 9, the “Rencontres Flotauto” or Professional fleet meeting were held in Paris.
This important event brings together all players of the fleet sector.
Suppliers of telematic equipment such as Nomadic Solutions, a French eco-driving specialist. Pure fleet management as Fleetmatics a French SME recently acquired by the American giant Verizon . New mobility startups such as OpenFleet which offers car sharing solutions for professionals. Almost all the European and Japonese car manufacturers were also represented by their Fleet subsidiary such as Volkswagen Group Fleet Solution.
Fleetmatics booth
Nomadic Solutions on the right and Carte Carburant Leclerc on the left
Saint Germain en Laye : This App promises to Secure your Driving, by Jeremy Denoyer.
“C’est une application dont certains conducteurs ne pourraient plus se passer. SafetyNex, actuellement en phase de test auprès de 3500 utilisateurs, permet de déclencher des alertes en fonction de la dangerosité des aménagements fixes (croisements, ronds-points, virages) et des excès de vitesse. Développée par la société Nexyad, basée à St Germain en Laye, cette application devrait être disponible sur les plates-formes de téléchargement mobile d’ici deux mois.”
Read the entire news / Lire l’article ici
SafetyNex App Onboard on smartphone
To test SafetyNex in your car, send your iTunes email if you use iOS smartphone or your Google account email if your smartphone is an Android one, to this adress obenel@nexyad.net
Today SafetyNex works on four continents :
– Europe : Austria, Belgium, France, Germany, Ireland, Italy, Nederland, Spain, Switzerland, United Kingdom
– North America : Mexico, United States
– South America : Chile
– South Asia : India, Singapore
We’ll integer new countries as soon as possible and on demand.
NOTICE : SafetyNex is now also available for integration in any Smartphone App and Electronic Devices through an API.
Groupement ADAS is a Team of innovative companies (cluster) with over 20 years experience in the field of technologies used in assistance driver systems (design, implementation and integration of ADAS in vehicles for safety features, driver assistance, partial delegation to the autonomous vehicle).
Last month, a new member joined the cluster to make ten companies !
New Imaging technologies (NIT) offers CMOS and InGaAs imaging sensors and cameras operating over an extraordinary dynamic range of more than 140dB. Our sensors are particularly useful for machine vision, automobile and autonomous driving, biometrics, security and surveillance. NIT delivers from large volume production down to small numbers and custom products. Our facility is fully ISO9001 accredited.
The other members are :
– Adaccess
– CAR&D
– GlobalSensing Technologies
– Intempora
– LeddarTech
– Nexyad
– Nomadic Solutions
– Sherpa Engineering
– Transpolis
– RoadNex is a functional bloc (software) for ADAS (Advanced Driver Assistance Systems) : detection of the road shape/contours and lane in front of the vehicle.
– ObstaNex is a functional bloc (software) for ADAS (Advanced Driver Assistance Systems).
ObstaNex detects obstacles (a car, a pedestrian). Definition of an obstacle: object that is not plane
(or that is « enough » vertical), and/or that has a movement that is not due to the movement of the camera.
– Visinex Onboard is a functional bloc (software) for ADAS (Advanced Driver Assistance Systems).
VisiNex Onboard measures the visibility on a region of interest (visual quality score and distance of detection).
