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,…
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
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,…
Lire la version Française
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.
V – REFERENCES
[1] : THE ULTIMATE SOLUTION FOR INSURANCE COMPANIES THAT NEED ONBOARD RISK ASSESSMENT : SafetyNex
[2] : SMARTPHONE APP SafetyNex COULD REDUCE ACCIDENT RATE BY 20%
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.
Voir la version française de la démo
SafetyNex is a Smartphone APP that measures Risk taken by the Driver in Real Time and warns him before dangerous areas.
SafetyNex is available throuth an API (Android, iOS, Windows, Linux)
Nexyad Automotive & Transportation Newsletter #15 is Available
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)
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 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.
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.
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.
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 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.
Look at the entire SafetyNex User Manual
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.
. Read the entire paper
. Analyse des profils de risque en conduite estimés par SafetyNex (version française)
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%.
Les rencontres du Fleet Management partners are ALD Automotive France, Ayming, Codes Rousseau, La carte carburant pro E. Leclerc, Octo Telematics and Phoenix development.
from the left Marie-Amélie Fenoll, Edwin Collela and Gérard Yahiaoui
« 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.
« We are stronger at ten to push heavy doors ! »
(Click to play)
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.
. Read the entire paper
. Analyse des profils de risque en conduite estimés par SafetyNex (version française)
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
Major release of the Real Time Onboard Driving Risk Assessment smartphone App SafetyNex.
Version 2_208 is available.
New functionalities and new HMI :
Read more : http://www.safetynex.net
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.
Nexyad SafetyNex, Onboard Real Time App of Driving Risk assessment, received Label Finance Innovation 2016 from world cluster Finance Innovation !
FINTECH COMMUNITY 4e édition à Paris le 7 décembre, le plus grand rendez-vous bi-annuel de rencontres entre le monde des financeurs et des sociétés de technologies innovantes. Nexyad, au travers de l’application de mesure temps réel du risque en conduite : SafetyNex, a reçu le Label Finance Innovation 2016 par le pôle de compétitivité mondial Finance Innovation.
Plus tard dans la matinée, Gérard Yahiaoui, le P-DG de Nexyad, a pitché dans la catégorie Assurances FinTech et a récolté le plus grand nombre de votes de la part de l’assistance, recevant un autre prix à cette occasion qui permettra une exposition conséquente de SafetyNex.
30th Nov 2016, seven high-tech startups had to pitch in front of almost all French Insurance Companies. This was organized by the Cercle LAB (Laboratoire Assurance Banque), at ALLIANZ tower (Paris La Défense) : « colloque prospective annuel du cercle LAB ».
NEXYAD was introduced to Cercle LAB by the competitiveness cluster FINANCE & INNOVATION.
It was an interesting challenge and the jury had to pick only ONE startup from seven talented ones, to give the special prize « coup de coeur des assureurs ».
Gérard Yahiaoui pitching at Allianz Tower « Coup de Cœur des Assureurs » Diploma
NEXYAD pitched on SafetyNex : a smartphone App for real time onboard driving risk assessment (with vocal alerts that warn the driver before a potential danger), that can reduce accident rate by 20%.
Winner : NEXYAD !!!
We thank all the insurers that came to this high tech day that gave a broadchurch view on research and development for Insurance applications (artificial intelligence, deep learning, iot, blockchain, telematics, …), we thank Pôle FINANCE INNOVATION & Cercle LAB.
NEXYAD is member of MOV’EO, and FINANCE INNOVATION.
New Nexyad paper :
(onboard telematics with smartphone for car insurance)
Evaluation of return on investment (ROI)
INTRODUCTION
European and American car Insurance Companies are all currently testing onboard telematics systems (on professional electronics devices or on Smartphones), in order to study new opportunities provided by digital technologies in the evolution of their business and business models [1].
We also can see now some experiments in Asia. Indeed, digitization of the economy has an impact on insurance industry too, as new competitors such as GAFAMs (Google, Amazon, Facebook, Apple, Microsoft) come to their car insurance market with new approaches, always ready to capture value.
The main idea behind testing telematics is that it would be nice to adjust at best pricing of insurance depending on the driver. Onboard telematics is expected to « measure » usage (kind of road, day/night, number of km, et …) and to estimate risk taken by the driver.
Cluster « Groupement ADAS » Launched the october 18th first ADAS Morning co-organized with MOVEO in Paris.
Thema was ADAS and Road Safety : to discuss challenges, solutions and opportunities with many specialists personalities in the field in front of a large audiance.
You’ll find videos of presentations HERE
NEXYAD presented SafetyNex Driving Risk Assessment Smartphone App
Gérard Yahiaoui presenting SafetyNex at ADAS Morning in Paris
– Update of RoadNex & ObstaNex : Road Detection and Obstacles Detection for ADAS and Driverless
– CESA Automotive 2016 : Symposium on Automotive Innovation
– First issue of ADAS Morning on ADAS for Road Safety
General ergonomics of SafetyNex has changed and after each run you have immediate results of your driving score with Gold Cup if you are safe.
SafetyNex comprehensive HMI
Obstacle Detection with ObstaNex by Nexyad: this run was made with a single camera
Obstacle Detection with ObstaNex by Nexyad : city traffic
Nexyad on the booth Groupement ADAS at CESA Automotive 2016
RENAULT ZOE of Adaccess on Groupement ADAS booth at CESA Automotive 2016.
Gérard Yahiaoui CEO of Nexyad and Jochen Langheim Vice President of ST microelectronics and Chairman of CESA Automotive 2016 on Groupement ADAS booth at CESA in Versailles.
Nexyad Presented SafetyNex at CESA 4.0 2016
Gérard Yahiaoui CEO of Nexyad presented SafetyNex Real Time Onboard Driving Risk Assessment for Car Telematics at the Conference « Highly Automated Driving New Sensors » of CESA 2016 in Versailles.
Groupement ADAS booth shows top technologies and competences of 9 companies dedicated to ADAS and sponsored by MOVEO.
. ADACCESS is a French engineering company specialized in embedded measurement and vehicle prototyping.
. CAR&D : Creative Automotive Research and Development (Car Dynamics)
. GLOBALSENSING Technologies : pattern recognition and embedded electronic system specialist
. INTEMPORA : MultiSensor Software Solutions, editor of RT-Maps
. LEDDARTECH : Mastering Lidar Sensor Technology
. NEXYAD: your host
. NOMADIC Solutions : Mobility Creator, electronic devices
. SHERPA Engineering is a company specialized in modeling, simulation and control design
. TRANSPOLIS : Exploring innovative Urban mobility solutions (tracks)
Les enjeux
Les enjeux humains
ADAS et véhicules autonomes quels enjeux pour les personnes ayant des besoins spécifiques – Claude Dumas – CEREMH
Les chiffres de l’insécurité routière : Christophe Ramond – Prévention Routière
ADAS et facteurs humains : Apports des sciences cognitives- Franck Techer – IFFSTAR
Les enjeux économiques
Risque routier lié au travail: quel coût pour les entreprises ? Patrick Oberto – Promotion et Suivi de la Sécurité Routière en Entreprise
ADAS et TIC, outils de disruption de la chaîne assurancielle : Philippe Caton – COVEA
Diminution de la sinistralité responsable : Jean Zermati – ORANGE
Les solutions actuelles
Les systèmes de sécurité active et les ADAS
Evolution technique de l’accidentologie et de la problématique d’estimation du gain des ADAS : Philippe Chrétien – CEESAR
Nouvelles mobilités et sécurité routière : quelles évolutions pour l’infrastructure ? : Eric Violette – CEREMA
Assistant nomade à la conduite sûre et responsable : Gérard Yahiaoui – NEXYAD
Les Perspectives
Le défi de la sécurité routière : l’intégration des facteurs humains dans les cas d’usages d’expérimentation des ADAS : Stéphane Barbier – TRANSPOLIS
Véhicule autonome, une révolution de la mobilité – Rémi BASTIEN–RENAULT
You’ll find all the videos of presentations HERE
NEXYAD presented SafetyNex Driving Risk Assessment Smartphone App
Download the presentation of SafetyNex by Nexyad
New Nexyad paper :
Friday, november 4th, at Automotive Techdays in Lyon (Rhône-Alpes), Vision System announced its new technology Smart-Vision. This ADAS innovation is fully developed by the firm from Brignais in partnership with Nexyad.
Smart-Vision is a unique and complete rearview and surround view system replacing traditional mirrors with HD digital cameras and interior screens.This system informs the driver :
. When a vehicle is coming from the back 80 meters away
. When a vehicle, bicycle or pedestrian enters the blind spot area, each with a specific signal, regardless of the speed of the vehicle or the external environment.
. When they can safely change lane (for example, after overtaking).
Smart-Vision reduces power/fuel consumption significantly, enhances ergonomics and improves safety.
Both hardware and software are tailor-made by Vision Systems.
Article de la PFA (Filières Automobile et Mobilités) citant Nexyad :
Retour sur le congrès du CESA 4.0 – « Automotive Electronic Systems »
un article de la PFA qui cite Nexyad
Pitch de Nexyad au Congrès CESA Automotive 2016 à Versailles
General ergonomics of SafetyNex has changed and after each run you have immediate results of your driving score with Gold Cup if you are safe.
SafetyNex comprehensive HMI
– Nexyad on BMW booth at the Mondial de L’Automobile
– The SafetyNex Revolution for everyone
– Papers about SafetyNex
– Visit of BMW Startup Garage
– Important Release of ObstaNex : our Obstacles Detector for ADAS
– French Minister Ségolène Royal congrats SME’s
– Nexyad researcher speaker at Brussels
– Nexyad in Media