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
You want to measure the efficiency of your autonomous Driving system in terms of road safety ? Not easy with the regular validation methods : observing the number of km without accident is NOT the key. Indeed, accident is very rare for human driver anyway : on OCDE countries, 1 accident every 70 000 or 100 000 km (depending on the country), and on average 3 death every billion km !
We bring a way to build a metric between YOUR system and better human drivers … using our real time Driving risk assessment module SafetyNex.
A new solution for you to imagine validation process.
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).
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.
– 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,…
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
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).
I – INTRODUCTION
NEXYAD has been developing the smartphonte application SafetyNex which estimates the risk of driving in real time [1]. SafetyNex is both a driver assistance system (ADAS), which alerts the driver (vocal alert) before danger (When the risk increases too much), and a telematics system that records risk profiles and usage profiles.
Warning before the danger gives the driver time to slow down and avoid the accident. Road Safety studies show that SafetyNex can reduce the number of accidents by 20% [2]. This simple functionality is of interest of car insurers, fleet managers, and to car manufacturers.
SafetyNex also rewards the driver with cups (gold, silver, bronze) that can be transformed into money incentive (vouchers, etc.) so that the safe drivers stil have a daily interest to go on using SafetyNex. Indeed, tools that are not used over a period of time rarely have a real effect on the accidentology. SafetyNex is therefore distinguished from other products, on the one hand by its real time and driving assistance, but also for its “reward” side. SafetyNex informs the driver In real time when the risk exceeds a threshold of danger, than one can say that SafetyNex gives the risk in the hands of the driver first. The driver is in control of his/her risk.
Then SafetyNex distinguishes from all telematics products that ultimately provide information to the insurer or fleet manager, but not to the driver who feels rightly spied on.
Risk and usage profiles [3] are forwarded to managers who have an interest in minimizing risk and the number of accidents. This paper presents a simple way to interpret the risk profiles constructed by SafetyNex.
II – SafetyNex RISK PROFILES
SafetyNex estimates risk of driving at every instant.
Since SafetyNex also measures usages, it measures among other things the durations and the number of traveled kilometers.
One can then construct the curve Risk (t) which is the risk at each moment, and also the curve Risk (km) which is the risk at each point of the route.
Let’s consider one or the other of those curves, it is easy then to cut the risk into slots:
It is therefore possible to calculate the total duration spent [resp the total number of km carried out] with a risk
between 10% and 20%, for example (or between 50% and 60%). The graph of these durations [resp number of km] for each range of risk (0% -10%, 10% -20%, etc.), looks like :
It can be seen that this graph can be seperated into three parts:
. A very high bar of near zero risk
. A shape of « bell curve » comparable to a gaussian
. Rising at the very end towards high risks
NEXYAD has run over 3,500 testers since June 2016, and has been able to interpret the shapes of these curves.
III – INTERPRETATION OF SafetyNex RISK PROFILES : CONSENTED RISK, EXPERTISE OF DRIVING, LACK OF ANTICIPATION OF DRIVER
The large quasi-zero risk bar simply expresses the fact that overall the car is a safe mode of transportation.
The part that draws a bell curve has a more or less strong spread : we have noticed that experienced drivers have a narrow curve (repeatability of their driving style is high) while beginners have a huge spread (they can’t drive always the same way).
The centering of the bell curve (maximum likelihood) corresponds to the way in which the driver takes a controlled Risk : cautious beginners have a low maximum likelihood (they try to take as less risk as they can) while experienced drivers have a higher maximum likelihood : they know what risk level thay can cope with.
Finally, the values that go up to the right (tail of distribution of the curve in bell) correspond to the vocal alerts, that is to saycases where the driver has not fully understood that the risk is high. In other words, it is the lack of anticipation and misunderstanding of road.
IV – CONCLUSION
SafetyNex’s risk profiles make it possible to understand the kind of driver you have :
. Cautious / not cautious (maximum likelihood of the bell curve position)
. Experienced / beginner (spreading of the bell curve)
. Lack of anticipation / very good anticipation (queues of distribution of the curve in bell)
Fleet insurers and managers therefore have all the information that they need to help the driver.
For example, within the framework of prevention plans, offering training adapted to each type of risky driving.
We validated this information by driving 3,500 testers, including beginners, experienced drivers, and also pilots (who in take risks appearance, but in reality have a very safe driving). This allowed us to give these interpretations of SafetyNex’s risk profiles.
With the deployment of SafetyNex to reduce the number of accidents, professionals structurally gain margin, and can use this margin to analyze profiles, segment them, and find the segments where it may be interesting to develop UBI (Usage Based Insurance) and real time pricing fleet.
This multi-functionality of SafetyNex makes it a unique and effective tool for managing driving risks.
NEXYAD Automotive & Transportation Newsletter #16, April 11th, 2017
Achieving of real time risk assessment in car telematics with Safetynex
Headlines :
– 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
NEXYAD has just been rated again by the rating agency Early Metrics and got the score of 81/100 which puts us in the top 2% of companies rated by Early Metrics. This rating is primarily for investors.
Early Metrics is an European rating agency of startups and SMEs.
* * * * *
BIKER ANGEL Project selected for Government funding (FUI23)
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
* * * * *
Nexyad Paper at 1er European Conference on Connected and Automated Driving
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 »
* * * * *
Meeting Mov’eo, Systematic and Cap Digital
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
* * * * *
Nexyad has visited 6th “les Rencontres Flotauto”
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
* * * * *
Nexyad in Media
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.”
SafetyNex available on Stores for Testers (Apple and Google)
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 welcomed New Member NIT New Imaging Technologies
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.
– 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).
Aujourd’hui le JDN ou Journal Du Net publie l’information que nous vous proposions il y a quelques jours en avant première : Mov’eo consacre Nexyad PME Championne.
Le pôle de compétitivité dédié à l’automobile lance le programme “PME championne” pour accompagner la croissance des entreprises les plus prometteuses du secteur.
Adaccess et Nexyad sont les deux premières PME à avoir été choisies. La première, créée en 2013, a séduit Mov’eo avec eVa, une plateforme de mutualisation des données anonymisées générées par les véhicules connectés à destination de l’industrie automobile. “Les essais par roulage coûtent très cher donc cette solution de mutualisation permet à tous les acteurs internationaux de la R&D automobile d’accéder aux data que leurs partenaires et concurrents veulent partager.”
La start-up yvelinoise Nexyad a aussi tapé dans l’œil du pôle grâce à SafetyNex, une application mobile qui estime en temps réel le risque de conduite. Elle alerte vocalement le conducteur avant un danger pour qu’il puisse ralentir, avec la promesse d’une réduction de 20% du nombre d’accident, et enregistre les profils d’usages et de risque des utilisateurs. Lauréate du BMW Tech Date en 2016, Nexyad s’adresse aux constructeurs et aux équipementiers qui veulent fournir une navigation intelligente en première et/ou en seconde monte ainsi qu’aux assureurs automobiles qui souhaitent proposer des contrats personnalisés. “Des négociations avancées sont déjà en cours avec des assureurs et la sortie officielle est proche”, assure Thierry Bapin.
Nexyad Automotive & Transportation Newsletter #15 is Available
2017 Year of mass deployment for Nexyad Products
After three years of Nexyad products development, 2017 will see the start of mass deployment of its products. An Automotive EOM has integrated RoadNex & ObstaNex for road detection and obstacles detection on special vehicles and an Infrastructure EOM has integrated Visinex for visibility measurement on highways. Beside, we’ll soon announce our first customers for SafetyNex.
Headlines :
– Nexyad Review after the CES 2017 in Las Vegas
– Example of SafetyNex Risk Profiles Data
– SafetyNex App Risk Profiles Analysis
– Nexyad invited to the 4th “Les rencontres du Fleet Management”
– NEXYAD new award: Champion SME (PME championne) of the French cluster MOV’EO
– Interview of Mov’eo and Nexyad by AutoK7
– New Update for Nexyad Modules RoadNex (Road detection) & ObstaNex (Obstacles Detection)
NEXYAD Automotive & Transportation Newsletter #15, February 13th, 2017
2017 Year of mass deployment for Nexyad Products
After three years of Nexyad products development, 2017 will see the start of mass deployment of its products. An Automotive EOM has integrated RoadNex & ObstaNex for road detection and obstacles detection on special vehicles and an Infrastructure EOM has integrated Visinex for visibility measurement on highways. Beside, we’ll soon announce our first customers for SafetyNex.
Nexyad was part of the Mission and took the opportunity to meet its partners, customers and future customers in Las Vegas. The show is bigger than everybody has told us before. There is thousands of boothes in several places in Las Vegas. It is impossible to see everything in four days long. This year, French Tech was well represented in the Venetian Hotel and at the Convention Center near the Westgate Hotel. Thursday January 5th, Nexyad was invited to a networking reception sponsored by Orange with the presence of Mr Stéphane Richard, chairman and CEO of Orange. The event took place at the Air Bar on the top of the Strastosphere Tower in Las Vegas.
Special interests seen about ADAS & Autonomous Driving at CES in Las Vegas
Abeeway already present at CES 2015 presented this year its new solution for autonomous geolocalisation with great duration (one year).
Giant Alphabet announced process of finalizing its autonomous car business through spin-off Waymo. Is Google will be car manufacturers or just embedded technology platforms and in the cloud technology for manufacturers ?
The GENIVI industrial alliance provides an open source system initiative for automotive manufacturers and their suppliers in connected car field. It collaborates with the Open Connectivity Foundation for connectivity between vehicles and smart homes. The alliance includes manufacturers such as PSA60, Renault Nissan, BMW and Daimler.
HERE Indoor Positioning brings precision to the industrial IoT.
HERE Indoor Positionning demo
The NEXYAD team present in Las Vegas was invited by officials on the HERE booth at Convention Center Central Plazza.
When we entered the booth, we saw a table with mini robotic forklifts in a warehouse, all built with real technology. The robots moved around a simulated environment picking up and delivering containers based on high-accuracy positioning, bringing the real-world applications to life.
It was one of the numerous technologies presented by HERE at CES this year. More about HERE here
LeddarTech has showcased three innovative 2D and 3D high-resolution LIDAR “solid state” solutions for autonomous driving applications based on next-generation LeddarCore ICs and developed with the collaboration of leading-edge suppliers and partners from the newly-established Leddar Ecosystem.
Nexyad hat a “summit” meeting with Leddartech (top of the Westgate Hotel on the booth of the canadian company). Both companies spoke about various future projects within the Groupement ADAS.
Gérard Yahiaoui CEO of Nexyad and Pier-Olivier Hamel Product leader at Leddartech.
Quanergy Systems rised $90m in 2016 to built Autonomous cars sensors with US Partner Sensata Technologies.
REVA2 participated for the first time to CES and present a vehicle that is both autonomous and traditional. It is in fact a complete automotive system that ambition to create the French startup.
robotTUNER (An automated vehicle that looks like the french one NAVYA).
Twinswheel has presented its autonomous droid for parcel delivery services in urban area.
New ADAS demos by VALEO
Valeo onboard demos area at Golden Lot was completely crowed during the four days of the Convention. But we were lucky happy few to test Valeo XtraVue and Valeo 360AEB Nearshield.
Valeo XtraVue is a system based on a set of connected cameras that eliminates visual obstacles. It takes two vehicles equipped with the system. The driver of the vehicle B, which follows the vehicle A, can see on its control screen what happens in front of the vehicle A by seeing through it.
VALEO XtraVue demo car
Valeo 360AEB Nearshield (Autonomous Emergency Braking) is an innovative technology to protect nearby pedestrians when vehicles perform low-speed maneuvers. With a full 360 degrees system of cameras and ultrasonic sensors, this ADAS helps the driver to avoid accident due to blind spots around large vehicles such as SUV and pick-up trucks. Read more about Valeo at CES
Verizon (fixed and mobile telecom) was updating 2.0 of its Go90 video streaming application for iOS and Android which now supports Apple TV and Google Chromecast. It will allow the sharing of video links with other users via social networks. Verizon Digital Media acquired Volicon, which manages video distribution back-ends and analytics with its Media Intelligence Platform. Another acquisition is Fleetmatics for $ 2.4B. It is a fleet tracking service via GPS, a deal to get into the automotive sector.
The sugar on the top was Yahoo !, acquired for only $ 4.8B. the top is its billion unique monthly users including 60% on mobiles, and its advertising network. This complements the acquisition of AOL, Yahoo being intended to integrate it.
Visteon Demonstrates Augmented Reality Driving Experience and Latest Head-Up Display Technology at CES® 2017.
Complementing the vehicle’s HUD, embedded front-view and driver monitoring cameras trigger “smart alerts” in the form of lights and sounds when the driver is not paying attention to the road, if the vehicle strays from its lane, or if the vehicle is at risk of potentially hitting an object. For example, when a pedestrian or bicycle is present on the side of the road, an LED light projects onto the windshield within a 90-degree angle of the driver’s line of sight, giving a visual alert without the driver needing to turn his or her head.
Two onboard cameras look at the front of the car (a video for the demo),
detect obstacles and alerts the driver via a HUD.
* * * * *
Example of SafetyNex Risk Profiles Data
See below an example of Risk Profile Data Nexyad is able to give to their customers. SafetyNex provides Eco Driving profiles data, and usages profiles (Kms, date, hours, kind of roads, etc…) all of these can be crossed with Risk Profiles.
Risk profiles estimated by SafetyNex: Analysis of profiles, and possible use to detect fatigue and hypovigilance of driver.
SafetyNex is a nomadic real-time risk estimation system. The system has been described in detail in previous publications [1] and uses the key concept of “near-accident” or “quasi-accident”, and is a result of 15 years of collaborative research with road safety experts and researchers.
The main competitive advantage of SafetyNex is that it allows, since the risk is estimated in real time,
to warn the driver (vocal alert), and thus to allow driver to avoid accident. Studies show that SafetyNex can reduce accident rate by 20% [2], which represents for insurers and fleet managers a consequent increase in margin [3].
But of course, SafetyNex also records usage and risk profiles. These profiles provide the behavior of the driver, or more precisely, his/her ability to regulate driving task consistently with danger. No need to record large volumes of data (accelerations, etc…) which in reality are not data (these are signals) for a possible back-office analysis, SafetyNex provides exactly the interesting data [4].
Below are examples of usage profiles and driver risk profiles.
Nexyad invited to the 4th “Les rencontres du Fleet Management”
Last thursday 26th of january 2017, Gérard Yahiaoui CEO of Nexyad participated to a panel debate in Paris near Les Champs Elysées. He was invited as road safety telematics expert. Marie-Amélie Fenoll journalist at Decision Achats animated the discussion between other speakers : Jean-Yves Marie Rose of Ademe, Julien Honnart of Wayzup, Didier Blocus of ALD Automotive France, Edwin Colella and Alain Sinquin of Octo Telematics.
Fleet Management faces numerous problems and stakes in terms of safety, monitoring of drivers, training and loss costs. Gérard Yahiaoui presented SafetyNex App risk assessment in real time, that warns the driver before danger and gives individual and global risk profiles and usage profiles. An API of SafetyNex will be available very soon to integrate in any device. SafetyNex use allows to reduce accident rate by 20%.
from the left Marie-Amélie Fenoll, Edwin Collela and Gérard Yahiaoui
* * * * *
NEXYAD new award :
Champion SME (PME championne) of the French cluster MOV’EO
NEXYAD is proud to announce that MOV’EO selected NEXYAD to be one of their CHAMPION high tech SMEs
(PME championne du pôle de compétitivité MOV’EO).
“We are very proud to get this award from MOV’EO that works hard for high tech SMEs development” said Gerard YAHIAOUI, CEO of NEXYAD. “We participated to the MOV’EO mission at CES 2017 in LasVegas, with Business France, and for us, it is already a success”. “This new award will give us more exposure and for a High-Tech SME it is always a good thing”.
“Nous sommes très fiers d’obtenir cette récompense de MOV’EO qui œuvre pour le développement des PME de hautes technologies dans le secteur de la mobilité. Nous avons participé à la la mission CES 2017 à Las Vegas, avec Business France, et pour Nexyad, c’est déjà un succès. Cette nouvelle récompense nous apporte plus d’exposition et pour une PME de High-Tech c’est toujours une bonne chose.” a déclaré Gérard Yahiaoui le P-DG de Nexyad.
* * * * *
Interview of Mov’eo and Nexyad by AutoK7
Nicolas Dattez from french competitivity cluster MOVEO and Gérard Yahiaoui CEO of Nexyad talk about their experience of CES in Las Vegas with Christophe Bourroux for RadioK7 “Voice of Mobility”
“We are stronger at ten to push heavy doors !”
(Click to play)
* * * * *
New Update for Nexyad Modules RoadNex (Road detection) & ObstaNex (Obstacles Detection)
Nexyad development team work hard to give updates and new functionnalities to its ADAS modules. See Below an example of road detection with the last update on RoadNex:
Last thursday 26th of january 2017, Gérard Yahiaoui CEO of Nexyad participated to a panel debate in Paris near Les Champs Elysées. He was invited as road safety telematics expert. Marie-Amélie Fenoll journalist at Decision Achats animated the discussion between other speakers : Jean-Yves Marie Rose of Ademe, Julien Honnart of Wayzup, Didier Blocus of ALD Automotive France, Edwin Colella and Alain Sinquin of Octo Telematics.
Fleet Management faces numerous problems and stakes in terms of safety, monitoring of drivers, training and loss costs. Gérard Yahiaoui presented SafetyNex App risk assessment in real time, that warns the driver before danger and gives individual and global risk profiles and usage profiles. An API of SafetyNex will be available very soon to integrate in any device. SafetyNex use allows to reduce accident rate by 20%.
NEXYAD Automotive & Transportation Newsletter #14, December 23th, 2016
Check NEXYAD Technologies for New Mobility Applications
Headlines :
– Demo video of SafetyNex : Smartphone App Onboard Real Time for Driving Risk Assessment
– Cercle LAB Symposium : new digital technologies for Insurance and Bank
– FinTech Community Symposium
– New Release of SafetyNex : Real Time Driving Risk Assessment for Car Industry and Insurance Companies
– Nexyad Technologies for Car Industry and New Mobility : SafetyNex – RoadNex – ObstaNex – VisiNex
– R&D project BIKER ANGEL (Driving Risk Assessment for Motorbikes) has been certified by the pôle FINANCE INNOVATION
– Business Trip to CES at Las Vegas
R&D project BIKER ANGEL has been certified by the pôle FINANCE INNOVATION.
This project consists in making SafetyNex available for motorcycles.
Partners of this project are : HERE, IFSTTAR, NEXYAD, POINT CORE
NEXYAD is the project leader.
Submission of this project has been sent to FUI (Fond Unifié Interministériel – France).
Le project BIKER ANGEL a été labellisé par le Pôle FINANCE INNOVATION.
Ce projet consiste à adapter SafetyNex pour les motards.
Les partenaires de ce projet sont : HERE, IFSTTAR, NEXYAD, POINT CORE
BIKER ANGEL est porté par NEXYAD.
Ce projet fait l’objet d’une demande FUI.
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Example of Statitical Relationship in Risk Assessment : from Behaviour to Fatalities
from the left Marie-Amélie Fenoll, Edwin Collela and Gérard Yahiaoui
