Nexyad CEO speaker at
Challenge Startup & Innovation Summit

Nexyad CEO speaker at Challenge Startup & Innovation Summit

CEO OF NEXYAD WAS A SPEAKER AT THE PARIS CHALLENGEr STARTUP & INNOVATION SUMMIT ON AI (ARTIFICIAL INTELLIGENCE) YESTERDAY, 2019 March 27th.

NEXYAD was pleased to participate to this summit on Artificial Intelligence. We could explain how our Artificial Intelligence -based software component SafetyNex is now embedded in many products worldwide and how it transforms industry (aftermarket for telematics – fleets & insurance -, new vehicles – cockpit and AD systems ).

We also explained how such a module, via a reward system, can be used by B2C mass market distribution firms to acquire consumers at low cost, in a « nudge » positive loop that will save many lives.

And we were very interested in other speakers presentations with so many different interesting point of views on AI.

Vincent Beaufils interviewing Gérard Yahiaoui, Nexyad CEO

Challenge Startup & Innovation

New Important Reward for SafetyNex

NEXYAD Automotive & Transportation Newsletter #26, March 24th, 2019

 


New Important Reward for SafetyNex
Headlines :

– SafetyNex won Road Safety Innovation Prize
– Road Detection RoadNex New Update
– Go from Level 3 to Level 5 with SafetyNex
– High Level Fonctional Specification of a Self-Driving Vehicle (Point to Point, any Destination): What about Driving Risk ?
– News about NEXYAD in Global Fleet
– Nexyad CEO Speaker at two conferences on AI

 

* * * * *
 

SafetyNex won Road Safety Innovation Prize
February 20th was held at the House of the RATP the award ceremony of the Innovation Road Safety Challenge and Innovation Road Safety Award. Through these two competitions, Delegation to road safety attached to French Ministry of Interior supports innovations that make the road safer.
Nexyad presented SafetyNex, Artificial Intelligence based software component that computes at each moment the Driving Risk (like the teacher besides you the day of the driving licence) that the driver is currently taking :
. for human drivers, a vocal alert makes you aware that your taking too much risk and then driver can slow down and avoid emergency situations
. for Autonomous Driving systems, it is possible to servo-control Driving Risk and keep it under a maximum accepted risk value : AD system becomes adaptive to risk.

All Nexyad Team is proud with this Innovation Prize !

French Road Safety Innovation Prize

 

* * * * *
 

Road Detection RoadNex New Update

Some companies try to detect freespace with a regular camera, without IR (SWIR etc …), without fusion with LIDAR, just because it allows low cost applications especially for aftermarket. Here is an example of the NEXYAD module RoadNex. One can see that there are a lot of cracks, patches (highlights and dark zones), and that RoadNex still detects free space in front of the car. Especially useful in the roundabout (see video).
Note : It runs on a regular chip (real time on a regular smartphone, for instance). It means that cost of deployment is « cost of software only », NO NEED for a special smart hardware architecture (NVIDIA …) or a special camera. This is the differentiation of NEXYAD : we do not try to provide « perfect and beautiful » detection (that is already achieved by MOBILEYE for instance, but we think, beyond market price for markets we target), but rather an efficient quick detection for some valuable functions at market price. Our free space detection is currently under integration into dashcams.

 

* * * * *
 

Go from Level 3 to Level 5 with SafetyNex
Do not change your AD System but enhance its Autonomy from level 3 to level 5 by making it Adaptative.
Yes, level of autonomy is not a matter of number of use cases taken into account during fine tuning or deep Learning, and during validation. Indeed, a feedforward chain cannot be trusted anyway because it is not adaptive. The number of use cases is quite infinite and there will alsways be a « hole » in your scenario crossings
So once your feedforward AD system chain seems to work at 94% (that’s what Elon MUSK said about new TESLA), it is not necessary to go on developing it. Yes, it is time to make it adaptive by integrating this AD system into a loop of safety monitoring. Of course, everyone thinks of functional safety (covariance, etc), and it must be done, but again it is not enough. We propose to measure at each moment the Driving risk that the AD system is taking (road safety) in order to adapt decision automatically to keep risk under a maximum accepted value. This is easy to do using our software component SafetyNex as an added layer to your existing AD system.
See figure below.

Schéma SafetyNex ADS adaptative

 

* * * * *
 

High Level Fonctional Specification of a Self-Driving Vehicle
(Point to Point, any Destination): What about Driving Risk ?
 

A general usage self-Driving vehicle is an object that picks you at a point A (that may be anywhere) and takes you to a point B (that may be any reachable point from A), as fast as possible, in comfort and safety. And that’s it (main features).

a . as far as possible : it is the actual efficiency of transportation, as mobility is a key element of Economy
b . comfort : it is the fact that the travel is enjoyable
c . safety of Driving : risk of road accident is few because the vehicle controls the Driving risk that it takes. Note : we consider that the object in itself is already safe (functional safety solved).

How to control those 3 items ?
a . chronometer, speed measurement
b . score of comfort : noise, vibration, user friendly HMI that cancels stress (infotainment), entertainment, …
c . score of Driving risk (in terms of ROAD safety) that the vehicle is taking while Driving : it already exists and it is the module SafetyNex, developed by NEXYAD (validation on 50 million km).

This gives a clue about how SafetyNex is used by Tier One Companies for their AD system.

 

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News about NEXYAD in Global Fleet
The online network Global Fleet wrote an article about Nexyad:

Nexyad uses artificial intelligence to improve road safety

“75% of road accidents happen because of driver behaviour that is not adapted to local infrastructure,” said Gérard Yahiaoui, CEO, Nexyad. His company sells software components that use artificial intelligence to improve road safety. Fleet Europe wanted to know more about where his company came from and where it is going.

Read article here : https://www.globalfleet.com/en/safety-environment/europe/features/nexyad-uses-artificial-intelligence-improve-road-safet

In June 2013, Nexus Communication has launched GLOBAL FLEET, the first networking and crossmedia platform for multinationals willing to optimize their fleet management through globalization. It provides professionals with in-depth knowledge and up-to-date information on global and regional fleet management as well as on BRICs and other economies on the rise.

Global Fleet
 

 

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Nexyad CEO Speaker at two conferences on AI
Do not miss Nexyad CEO, Gérard Yahiaoui:
– at round table on Artificial Intelligence & Industry Transformation for Startup Innovation Challenge March 27th 2019 (Paris).
See more : https://sommetdesstartup.challenges.fr/
– at ROTARY Digital Meeting april 10th 2019 (Paris).
See more : http://www.rotary-paris-ouest.fr/offres/gestion/events_146_45209_non/rotary-digital-meeting.html

News about NEXYAD in Global Fleet

The online network Global Fleet wrote an article about Nexyad:

Nexyad uses artificial intelligence to improve road safety

“75% of road accidents happen because of driver behaviour that is not adapted to local infrastructure,” said Gérard Yahiaoui, CEO, Nexyad. His company sells software components that use artificial intelligence to improve road safety. Fleet Europe wanted to know more about where his company came from and where it is going.

Read article here : https://www.globalfleet.com/en/safety-environment/europe/features/nexyad-uses-artificial-intelligence-improve-road-safet

In June 2013, Nexus Communication has launched GLOBAL FLEET, the first networking and crossmedia platform for multinationals willing to optimize their fleet management through globalization. It provides professionals with in-depth knowledge and up-to-date information on global and regional fleet management as well as on BRICs and other economies on the rise.

Global Fleet

XAVIER DALLOZ Conference at CES 2019

NEXYAD IS VERY PROUD FOR THEIR PARTICIPATION TO THE XAVIER DALLOZ CONFERENCE AT CES LAS VEGAS YESTERDAY

Hotel the Linq, wednesday january 10th.
It’s been a very interesting exchange about major trends on the CES this year, and NEXYAD presented an example of eXplanable Artificial Intelligence (XAI) to the automotive sector with their software component SafetyNex that computes at each moment in real time and with anticipation the risk that the driver is currently taking, with applications to :
. alerting human drivers and reduce accident rate by 20%
. making autonomous Driving systems much safer Thanks for this perfect organization.

Xavier Dalloz Conference


NEXYAD AT INSA ROUEN FOR PEDAGOGIC CHAIR ON INTELLIGENT CONNECTED VEHICLE

NEXYAD AT INSA ROUEN FOR PEDAGOGIC CHAIR ON INTELLIGENT CONNECTESD VEHICLE THAT BINDS INSA ROUEN AND MOVEO Groupement ADAS
This pedagogic chair is directed by the major French researcher Aziz BENSRHAIR.
NEXYAD presented yesterday the story of professors, researchers and research engineers who decided to set up a company together (NEXYAD), and the result : 3 artificial perception software components, and a unique real time Driving risk software component, all Under integration by OEMs, Tier One Companies, Final Users, … NEXYAD will describe theoretical and practical aspects of those software componants in the next courses.
The company SHERPA Engineering (also member of the MOVEO Groupement ADAS) came to present System Analysis theory and its applications to intelligent vehicles.

Thanks Aziz for this collaboration.

« We Save Lives »


Insa Rouen
Gérard Yahiaoui at front of INSA Rouen Students

Presentation of the SafetyNex technology by NEXYAD at the INTEMPORA TECHDAY in Paris

Presentation of the SafetyNex technology by NEXYAD at the INTEMPORA TECHDAY. This congress organized by INTEMPORA was impressive and gathered the French community of ADAS and Autonomous Driving around demos and presentations. Congrats to INTEMPORA. The technology SafetyNex (real time driving risk assesment algorithm developed by NEXYAD) was truely appreciated and we could discuss about applications. The MOVEO Groupement ADAS made good presentations too.

Real Time driving RISK assessment for driving risk PREVENTION and for CONTROL of autonomous driving systems: an application of XAI (*)
(*) eXplanable Artificial Intelligence
Intempora Techday
Gérard Yahiaoui explaining Nexyad use of Intempora’s RT-Maps

NEXYAD CEO on Mobility TV about Road Safety applied to AV

Use the YouTube translation to follow with your language.

Gérard YAHIAOUI, CEO of NEXYAD, participed in a TV show on Mobility TV about the Autonomous Vehicle, where he explained the value of SafetyNex for road safety applied to Autonomous Vehicle. The other guests were Jean-Pierre CARNEVALE, departement director for Ipsos, Abdelkrim DOUFENE from IRT SystemX, and Hervé GROS from SIA (automotive engineers society), the talk show was animated by Patrick ROGER for Auto K7.

Newsletter #22 is now available

NEXYAD Automotive & Transportation Newsletter #22, April 17th, 2018

 


4 disruptive AI algorithms for automotive mobility by NEXYAD


Headlines :

– SafetyNex episode 4 : Driving Risk Assessment for Automotive (Driving Assistant, ADAS, Autonomous Driving)
– CNEJITA Seminar on Artificial Intelligence: who will be responsible ?
– SafetyNex : driving robot maybe will mitigate human errors, but first they have to imitate good drivers
– « Theory of Water Flush » and Impact on the Prevention of Accidents for Autonomous Vehicles
– 4 disruptive AI algorithms for automotive mobility

Go to the Nexyad Automotive & Transportation Newsletter #22

4 disruptive AI algorithms for automotive mobility by NEXYAD

NEXYAD Automotive & Transportation Newsletter #22, April 17th, 2018

 


4 disruptive AI algorithms for automotive mobility by NEXYAD

Headlines :
– SafetyNex episode 4 : Driving Risk Assessment for Automotive (Driving Assistant, ADAS, Autonomous Driving)

– CNEJITA Seminar on Artificial Intelligence: who will be responsible ?

– SafetyNex : driving robot maybe will mitigate human errors, but first they have to imitate good drivers

– « Theory of Water Flush » and Impact on the Prevention of Accidents for Autonomous Vehicles

– 4 disruptive AI algorithms for automotive mobility

* * * * *



SafetyNex episode 4:
Driving Risk Assessment for Automotive
(Driving Assistant, ADAS, Autonomous Driving)

 
The new video on SafetyNex, on board driving risk assessment in real time.



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CNEJITA Seminar on Artificial Intelligence:
who will be responsible ?

 
April 10th, CNEJITA (National Company of Legal Experts on Computer Science and Associated Techniques) organized a Seminar, whose objective is to determine the responsibility in terms of artificial intelligence through the understanding of technology and the dialogue with the actors of the sector.
It is therefore around this theme of topicality and future which is the artificial intelligence that the best experts in terms of computing met at the Commercial Court of Paris.

AI: concepts, technological breakthroughs and new risks
– Understanding the Concepts and Landscape of AI – Jean-Claude HEUDIN (Artificial-Creature.com – Teacher Researcher in AI)
– IA: state of play and perspectives – Jean-Philippe DESBIOLLES (IBM head of France IA WATSON)

Roundtable – Which Expertise fo AI ? was animated by Serge MIGAYRON (Honorary President of CNEJITA)
– The acceptability and limits of IA – JA CAUSSE (CNEJITA Expert)
– The Autonomous Vehicle and Traceability of IA – Jean-Louis LEQUEUX (Former President of VeDeCoM Tech)
– Auditability and risk control in the design of an IA – Gérard YAHIAOUI (NEXYAD)
– Evolution of the world of insurance, towards an objective responsibility – Nicolas HELENON (Co-manager Firm NEO TECH Assurances)

Roundtable – The Legal Challenges of AI. Animation – A MEILLASSOUX (ATM Lawyers – President of AFDIT)

– Introduction to Classical and New AI Concepts by Law: Applicable Regime and Evidence – L SZUSKIN (BAKER McKENZIE Lawyer)
– Tort liability in the face of AI: adaptation of traditional categories or creation of a responsibility specific to AI? – P GLASER (Lawyer TAYLOR WESSING)
– Contractual liability in the face of the IA: risk management during the contractualization of an IA system – FP LANI (DERRIENNIC Associate Lawyer)
– Synthesis on the current legal landscape – G de MONTEYNARD (Attorney General at the Court of Cassation)

Colloque CNEJITA
Gérard YAHIAOUI, CEO of NEXYAD

* * * * *



SafetyNex : driving robot maybe will mitigate human errors,
but first they have to imitate good drivers

 
BEWARE with the statistics : « 94% of severe personal damage accidents are due to human errors » doesn’t mean that you’ll save 94% of severe accident with autonomous driving : drivers do not only make mistakes they also drive well (1 accident every 70 000 km, 3 dead every billion km – OCDE) … It is important to study also good driving and near misses (when driver has the right behaviour to avoid accident or to mitigate severity)… That’s what NEXYAD did during 15 years of research programs on road safety ^^ (that led to SafetyNex). See image (if you do not provide the « green » features, you will lose lives more than you gain with your driverless car. Our AI algorithm SafetyNex was made for this.

Example of risk tree

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« Theory of Water Flush » and Impact on the Prevention of Accidents for Autonomous Vehicles

 
« THEORY OF WATER FLUSH » AND IMPACT ON THE PREVENTION OF ACCIDENTS
FOR AUTONOMOUS VEHICLES

by NEXYAD

INTRODUCTION
Let’s suppose that the flush does not exist in our toilets, and then let’s suppose that engineers able to create complex systems or even « systems of systems » are consulted to invent it, and that they apply exactly the same method than they do in the field of ADAS and Autonomous Vehicles.

Water Flush Vs Automotive Engineers

METHOD OF SCENARIOS
We propose to apply the method of scenarios, which consists in crossing all the factors that can modify the situation, then in each case of the complete combination, propose a solution. For this, it is necessary to note the number of possible shapes for the tank, the possible volumes, all the possible locations for the water supply entry, the possible diameters of the inlet pipe, the flow rates and possible pressures of water, the possible residual water levels before filling. We can generate the combinatorial of these factors, which allows us to generate all the possible scenarios of the « flush » problem. In each case, it is possible to give a solution, namely, the duration of filling of the tank (opening and closing of the water tap).

This approach is fully compatible with deep learning, which will also interpolate between two reference cases (quality of interpolation/generalization to be controlled, of course) if characteristics had to drift over time. Of course, the tank must integrate a system of sensors to evaluate the configuration (diameter of pipe, pressure of water, position pipe, capacity of the tank, etc …). We can use a camera, lasers, ultrasounds, etc. So that this recognition of situation is as accurate as possible. For such an approach, automation/control engineers talk about open-loop (feed forward) control because the data flow is as follows:

Open Loop

COST AND ROBUSTNESS OF THE SCENARIOS METHOD
It is easy to understand that the flush thus designed will be perfectly functional (there is no reason for it does not work), but for a high cost due to the sensors to integrate. Similarly, the robustness of the system to a measurement error or to a bad situation recognition is not guaranteed : we can very good to fill too much or not enough. The accuracy of the configuration case recognition is very important.


SOLUTION OF WATER FLUSH IN THE REAL WORLD
If you have the curiosity to disassemble your flush, you will notice that it is much simpler than the system described above: A float indicates when the water supply valve should be closed. The figure is as follows:

Closed Loop

Automation engineers call this a closed loop control (servo control). The feed forward « open » control is reduced to « open the tap thoroughly without worrying about the flow of water, the volume of the tank, and turn off the tap as soon as the float asks for it « . Note that this method works regardless of the configuration of the flush : we do not even need to know the volume of the tank that can be modified (for example: by filling half of the tank with glass beads) without affecting the operation of the flush. It is a robust and cheap system.


TRANSCRIPT OF THESE REMARKS IN THE FIELD OF ADAS AND AUTONOMOUS VEHICLES:
SERVO CONTROL IN DECISION

The information processing chain of the autonomous vehicle follows the general feed forward form :
NEXYAD has developed the SafetyNex system which dynamically estimates in real time the risk that the driver (human or artificial) takes. However, the autonomous vehicle may be functionally specified as follows:

AD feeding

« transport someone from point A to point B as quickly as possible, and safely. »

The « quickly » aspect is the historical business of the automobile. The « safely » notion integrates intrinsic safety of the system (its dependability: it should not explode, sensors or power supply may not be disabled, etc.), and since it is a vehicle, its ability to move with a good road safety, that is to say by « not taking too much risk in driving ». Since SafetyNex estimates this driving risk dynamically and in real time, it can be said that SafetyNex is a dynamic indicator of « SOTIF » (Safety Of The Intended Function). SafetyNex acts as a « driving risk float » : when the risk arrives at the maximum accepted level (like the float of the flush) we stop the action that raised the risk (example: we stop accelerating or we slow down). Thus, the response of an autonomous driving system is made adaptive (at the decision level) : even if the feed forward open loop is not perfect, it can correct itself to take into account, among other things, the instruction and the measure of driving risk. This system is completely independent of the automatic driving system in terms of information processing, so it represents redundancy of processing.

SafetyNex uses to estimate risk :

. risk due to inadequacy of driving behaviour to the difficulties of the infrastructure : navigation map, GPS, accelerometers

. risk due to inadequacy of driving behaviour to the presence of other road users (cars, pedestrians, …) : data extracted from the sensors (camera, lidar, radar, etc) such as « time to collision », « inter distance (in seconds) », number of vulnerables around, etc.

. risk due to inadequacy of driving behaviour to weather conditions: in particular to atmospheric visibility (fog, rain, snow, sand, penumbra). Knowing that when visibility is low, vehicle must pay more attention (and slow down) even if this autonomous vehicle is not impacted by the decrease in visibility (if it only uses a lidar for example) because the avoidance of an accident is done at the same time by the two protagonists : if one of them (pedestrian, human driver), does not see the autonomous vehicle, then it finds itself only to be able to avoid the accident, which doubles the probabilities of a potential accident.

. other

The use of SafetyNex allows to make adaptive an artificial intelligence of autonomous driving, on the following diagram :

Adapt Closed loop AI

If you have a lean computer, then you only apply one loop between t and (t+1) as it is shown on the figure. If you have a powerful computer, you can then even simulate a big number of decisions and take the less risky one (like automaticians do with predictive control systems). Of course, SafetyNex is only ONE way to close the loop (on a crucial notion : driving risk). This figure may be extanded to other variables of contol that make sense for an autonomous vehicle. More complex adaptation rules may switch from a decision to another if risk simulation shows that finally it is less risky (ex : slow down or turn wheel ?).


CONCLUSION
SafetyNex uses the map in addition to sensors (same sensors as the driving system or parallel tracks) and does not need to accurately identify the situation but instead to estimate a risk (this is a different task). SafetyNex is a knowledge-based AI system (knowledge extracted from human experts in road safety, from 19 countries – Europe Japan USA – who validated the system over 50 million km. Total research program duration : 15 years). This technology is still being improved, of course, but it can already be integrated into autonomous vehicles and avoid a large number of accidents by its ability to make the system adaptive to unknown situations. In particular, in the case of autonomous urban vehicles (autonomous shuttles, robot taxis), the adaptation of driving behaviour to complexity of infrastructure is made possible by SafetyNex, which decodes this complexity by reading the navigation map in front of the vehicle. SafetyNex makes the autonomous vehicle anticipate more by following « rules of safety » : with SafetyNex emergency situations (that still will need emergency braking and other emergency actions) become much more rare. Autonomous vehicle acts like an experienced cautious driver. Note : if you modulate Maximum Accepted Risk, then you modulate aggressiveness of the autonomous vehicle. This might make sense not to let the autonomous vehicle trapped in complex human driving situations (where the autonomous vehicle would stopped indefinitly).

* * * * *



4 disruptive AI algorithms for automotive mobility

 

. ObstaNex detects obstacles with a simple cam (a la Mobileye).
What is disruptive ?
ObstaNex runs in real time on a regular smartphone… it means it doesn’t need a big computing power to run. It can be trained/re trained on a « small database » using the methodology A.G.E.N.D.A. (Approche Générale des Etudes Neuronales pour le Développement d’Applications or General Approach of Neuronal Studies for Application Development) – important is you improve your cam !
 



. RoadNex detects drivable part of the lane borders and free space.
What is disruptive ?
RoadNex works even in the Streets of old cities as Paris, London or Roma, and it runs in real time on a regular smartphone. it means it doesn’t need a big computing power to run.
 



. VisiNex detects lacks of visibility (fog, heavy rain, snow, sand storm …).
What is disruptive ?
VisiNex is an artificial vision tool which is correlated with human perception. If there is something to see, VisiNex is able to give a score of visibility. Except Daimler, we haven’t seen such a military background-based detection elsewhere.



. SafetyNex is the only fusion Artificial Intelligence algorithm (sensor + map fusion) that estimates driving risk dynamically and in real time.
What is disruptive?
SafetyNex allows to have an explicit value of driving risk. It is a total revolution for car insurers, fleet managers, and autonomous driving engineers. These algorithms are already under integration into products for telematics /connected car, ADAS, Autonomous Vehicle.


CNEJITA Seminar on Artificial Intelligence: who will be responsible ?

April 10th, CNEJITA (National Company of Legal Experts on Computer Science and Associated Techniques) organized a Seminar, whose objective is to determine the responsibility in terms of artificial intelligence through the understanding of technology and the dialogue with the actors of the sector.
It is therefore around this theme of topicality and future which is the artificial intelligence that the best experts in terms of computing met at the Commercial Court of Paris.

AI: concepts, technological breakthroughs and new risks
– Understanding the Concepts and Landscape of AI – Jean-Claude HEUDIN (Artificial-Creature.com – Teacher Researcher in AI)
– IA: state of play and perspectives – Jean-Philippe DESBIOLLES (IBM head of France IA WATSON)

Roundtable – Which Expertise fo AI ? was animated by Serge MIGAYRON (Honorary President of CNEJITA)
– The acceptability and limits of IA – JA CAUSSE (CNEJITA Expert)
– The Autonomous Vehicle and Traceability of IA – Jean-Louis LEQUEUX (Former President of VeDeCoM Tech)
– Auditability and risk control in the design of an IA – Gérard YAHIAOUI (NEXYAD)
– Evolution of the world of insurance, towards an objective responsibility – Nicolas HELENON (Co-manager Firm NEO TECH Assurances)

Roundtable – The Legal Challenges of AI. Animation – A MEILLASSOUX (ATM Lawyers – President of AFDIT)

– Introduction to Classical and New AI Concepts by Law: Applicable Regime and Evidence – L SZUSKIN (BAKER McKENZIE Lawyer)
– Tort liability in the face of AI: adaptation of traditional categories or creation of a responsibility specific to AI? – P GLASER (Lawyer TAYLOR WESSING)
– Contractual liability in the face of the IA: risk management during the contractualization of an IA system – FP LANI (DERRIENNIC Associate Lawyer)
– Synthesis on the current legal landscape – G de MONTEYNARD (Attorney General at the Court of Cassation)

Colloque CNEJITA
Gérard YAHIAOUI, CEO of NEXYAD

Newsletter #19 is now available

Nexyad at CES 2018 January 8-12
in Las Vegas

Headlines :

– Come to meet Nexyad at CES 2018 in Las Vegas – January 8-12
– NEXYAD giving the award of the best Insurtech startup «prix coup de cœur des assureurs 2017»,
organized by Cercle LAB (Laboratoire Banque Assurance) at Allianz Tower in Paris La Défense
– Nexyad invited speaker at UNESCO Conference on Artificial Intelligence : use case of autonomous vehicle
– SafetyNex driving risk assessment (20 times per second while driving): anticipation of danger
– INTEMPORA and NEXYAD, members of MOVEO Groupement ADAS interviewed on BFM Business (Major French TV)
– Bitumen Free Space Detection by Nexyad RoadNex module in real time on a Smartphone
– Nexyad on Groupement ADAS booth at Equip’Auto 2017
– Validation of ADAS Nexyad Database with ground reality
– Individual driving risk assessment and car insurance : what applications ? what business models ?
– SafetyNex can bring Artificial Intelligence into Autopilots in respect of ASIL ISO 26262
– Welcome to YOGOKO, new member of “MOV’EO” Groupement ADAS cluster

Go to the Nexyad Automotive & Transportation Newsletter #19

Nexyad at CES 2018 January 8-12
in Las Vegas

NEXYAD Automotive & Transportation Newsletter #19, November 29th, 2017

 


Nexyad at CES 2018 January 8-12 – Las Vegas

Headlines :

– Come to meet Nexyad at CES 2018 in Las Vegas – January 8-12

– NEXYAD giving the award of the best Insurtech startup «prix coup de cœur des assureurs 2017»,
organized by Cercle LAB (Laboratoire Banque Assurance) at Allianz Tower in Paris La Défense

– Nexyad invited speaker at UNESCO Conference on Artificial Intelligence : use case of autonomous vehicle

– SafetyNex driving risk assessment (20 times per second while driving): anticipation of danger

– INTEMPORA and NEXYAD, members of MOVEO Groupement ADAS interviewed on BFM Business (Major French TV)

– Bitumen Free Space Detection by Nexyad RoadNex module in real time on a Smartphone

– Nexyad on Groupement ADAS booth at Equip’Auto 2017

– Validation of ADAS Nexyad Database with ground reality

– Individual driving risk assessment and car insurance : what applications ? what business models ?

– SafetyNex can bring Artificial Intelligence into Autopilots in respect of ASIL ISO 26262

– Welcome to YOGOKO, new member of « MOV’EO » Groupement ADAS cluster

* * * * *



Come to meet Nexyad at CES 2018 in Las Vegas (Jan 8-12)

CES 2018

Nexyad invite you to visit us at the Leddar Ecosystem Pavillion at East LVCC – Central Plaza (booth CP-23)
If you want to reserve a meeting slot, please contact us at nexyadCES2018@nexyad.net

CES 2018 East LVCC - Central Plaza Map

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NEXYAD giving the award of the best Insurtech startup
« prix coup de cœur des assureurs 2017»,
organized by Cercle LAB (Laboratoire Banque Assurance)
at Allianz Tower in Paris La Défense

Nexyad CEO at Cercle Lab

Gerard Yahiaoui at Cercle Lab

Last year Nexyad won the special prize « Coup de Cœur » by french insurers of Cercle Lab with SafetyNex the driving risk assessment App in real time. For this, Gerard Yahiaoui CEO of Nexyad handed the 2017 new prize to the winner KAP-Code represented by Adel Mebarki. Kap-Code is dedicated to improve the care of chronic diseases and the detection of drug safety signals on social networks thruth 3 solutions : helping patients and health advisors with connected objects, Digital Health that allows profesionals to provide care for their patients and harnessing Big Data for science.

Adel Mebarki of Kap-Code
Adel Mebarki, head of innovation of Kap-Code


* * * * *



Nexyad invited speaker at UNESCO Conference on
Artificial Intelligence : use case of autonomous vehicle

Nexyad CEO Gérard Yahiaoui A.I. expert was invited to speak (invited paper) in a conference in Paris on Artificial Intelligence (JNI/IESF, Under the patronage of UNESCO, 2017 Oc 19). He talked about Artificial Intelligence for Autonomous Vehicle : « Intelligence Artificielle pour le Véhicule Autonome, et exemple de réalisation : SafetyNex ». Very interesting papers during this day showing a broad range of AI applications (automotive, fashion, HR management, Legal, …). More than 400 people in the audience.

Unesco AI Congress

Gerard Yahiaoui explaning difference between A.I. and complex automation for autonomous driving


* * * * *



SafetyNex driving risk assessment
(20 times per second while driving): anticipation of danger

SafetyNex estimates driving risk 20 times per second, during driving (real time).
On the following figure, you can see risk rising when approaching a stop sign with an inappropriate car speed :

Example of driving 1
Speed of the car is quite high before the STOP sign and Risk goes to the maximum with a vocal alarm to the driver which have time to slow down or brake to stop.

This estimation is computed INSIDE the local device (inside the car). Current implementation is on smartphones (IOS and Android), then computing of risk is completely done INSIDE the smartphone : that makes SafetyNex compliant with all driver’s privacy regulations and laws in Europe.

Click to read the entire article

See here 3 more use cases

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INTEMPORA and NEXYAD, members of MOVEO Groupement ADAS on BFM Business (Major French TV)

1st Nov 2017, the Tech & Co tv show on the subject : will self-driving car come sooner than expected ?
Nicolas du Lac & Gerard Yahiaoui

Nicolas du Lac & Gerard Yahiaoui

Nicolas du LAC, INTEMPORA, and Gerard YAHIAOUI, NEXYAD, presented their innovations and explained how the MOVEO Groupement ADAS helps to be stronger for their innovative startups.
Nicolas talked about RT-MAPS that is a software tool for R&D, making easy the task of developing applications with multiple sensors (cameras, lidar, radar, …) that of course are not synchronized and that must collaborate through algorithms of sensor fusion in order to get good objects detection and recognition.
Gerard talked about SafetyNex that is an onboard real time module that is the only module in the world that can estimate driving risk 20 times per second. Self-driving car can then know the risk it takes with and it simplifies the development of autopilot (example : « if risk too high then slow down »).


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Bitumen Free Space Detection
by Nexyad RoadNex on Smartphone

RoadNex detects free space on road with negative detection of obstacles as vehicle on the video below.



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Nexyad present with Groupement ADAS at Equip’Auto 2017

Equip'Auto_Groupement ADAS

Philippe Orvain, CEO of Nomadic Solutions

Nexyad was present with Groupement ADAS at Equip’Auto Congress in Paris. Groupement ADAS is a SME’s cluster : 10 companies with expertise in the field of Advanced Driver Assistance Systems, Connected car and Autonomous vehicle. Philippe Orvain CEO of Nomadic Solutions and competitiveness cluster MOV’EO Vice President has responsed to journalist Laurent Meillaud on Congress TV channel.

Watch Philippe Orvain interview on the congress channel with SafetyNex video demo :



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Validation of ADAS Nexyad Database with ground reality

Etiquetage

Free space ground reality (for RoadNex) and obstacles ground reality (for ObstaNex)



The NEXYAD company is currently developing the construction of a database for the validation of systems of driver assistance and driving delegation, (ADAS and Autonomous car) using the AGENDA methodology published in the 1990s by Gérard Yahiaoui in the field of machine learning and artificial neural networks applications. Here is an example of ground reality : ground reality is needed in order to automate performance / KPIs measurement when you modify the perception system.(methodology initially intended to handle, among other things, the construction of learning databases and tests for the implementation of neural networks).

This database has two essential characteristics:

1) Real-life situations
     Indeed, the AGENDA methodology recommends describing the possible variations of signals and input images as factors of variability and their crosses.
     Example, for obstacle detection:
          . weather (dry weather, sunny weather, rain, fog)          . overall brightness (low, medium, high)
          . vehicle speed (low, moderate, high)
          . type of road (motorway, road with marking, road without marking, …)
          . coating (bitumen 1, bitumen 2, …, pavers)
          . day / night (car headlights and infrastructure lighting)
          . season (spring, summer, autumn, winter)
          . etc.

NEXYAD’s ambition is to propagate its methodological expertise and to enable everyone to evaluate the performance of vision systems for ADAS, be they systems developed by NEXYAD or others.

Click to read the entire article

References
« Methodology for ADAS Validation: The Potential Contribution of Other Scientific Fields Which Have Already Answered the Same Questions », Gérard Yahiaoui, Pierre Da Silva Dias, CESA congress Dec 2014, Paris, Proc. Springer Verlag

« Methods and tools for ADAS validation », Gérard Yahiaoui, Nicolas du Lac, Safetyweek congress, May 2015, Aschaffenburg

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Individual driving risk assessment and car insurance :
what applications ? what business models ?

As many people know now, NEXYAD has been developing the first real time driving risk assessment system called SafetyNex.

SafetyNex is currently available in B2B :
          . as a smartphone App (Android and IOS)
          . as a real time driving risk assessment API that OEMs and Insurers may integrate into their own smartphone App or into their own telematics or ADAS device (Android, iOS, Linux, Windows).

This real time driving risk assessment module has been validated on 50 million km, and applies proven methods for risk assessment, using, for instance, the Frank E. BIRD « safety triangle » concept, and running in real time a knowledge-based system AI that has been built by NEXYAD since 2001. It took 15 years to extract thousands of road safety knowledge atoms from experts of 19 countries. Some of this knowledge is directly operational, some is deep knowledge on detection theory (a mix of Information Theory and Knowledge on Human Brain abilities). And of course, SafetyNex also applies fundamental knowledge on mechanics (braking abilities, …) including complex issues such as grip for example.

Click to read the entire article


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SafetyNex can bring Artificial Intelligence into Autopilots
in respect of ASIL ISO 26262



SafetyNex integration in the ASIL 26262.
SafetyNex Asil 26262
© NEXYAD 2017

Complex Automation MUST be ASIL ISO 26262.
Artificial Intelligence CANNOT BE ASIL ISO 26262 (by definition) and acts only on parameters of Complex Automation doing ++/– – variations, never skipping « reflexes actions » (emergency braking, etc), but allowing anticipation speed adaptation to reduce frequency of emergency situations (and then give more margin to reflexes actions and also improve comfort). Maximum acceptable Driving Risk can be changed depending on driving situation in order to set « aggressivity level» of HAV.

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Welcome to YOGOKO, new member of « MOV’EO » Groupement ADAS cluster

In november, cluster Groupement ADAS, from Mobility and Automotive R&D competitiveness national cluster Mov’eo, welcomed YOGOKO as new member. It makes eleven players like a football team, and we hope to score goals in the Automotive market competition.

Yogoko

YoGoKo is a startup company founded in 2014 by employees from three research institutes : Mines ParisTech, Telecom Bretagne and Inria. YoGoKo makes use of software developed in teams specialized in Internet technologies (RSM at Telecom Bretagne) and robotics (CAOR at Mines ParisTech and RITS at Inria). These research teams have been working together since 2006 on innovative communication solutions applied to Intelligent Transportation Systems. They contributed to several collaborative R&D projects related to ITS (CVIS, ITSSv6, GeoNet, DriveC2X, SCORE@F, …).

In 2012, these laboratories engaged together into the development of a common demonstration platform which comprises connected vehicles (fleet of conventional vehicles from Mines ParisTech and fleet of autonomous vehicles from Inria), roadside equipments and cloud-based services.

YoGoKo demonstration platform was finally revealed on Feb. 11 th 2014 during the Mobilité 2.0 event organized by the French Ministry of Transport. This successful demonstation and the extremely warmfull feedack gained at this occasion triggered the launch of YoGoKo as a company.

Thierry Ernst
Thierry Ernst, CEO of Yogoko


Table ronde avec Nexyad sur le véhicule autonome à BFM Business

INTEMPORA and NEXYAD, members of MOVEO Groupement ADAS on Major French TV (BFM Business)

1st Nov 2017, the Tech & Co tv show on the subject : will self-driving car come sooner than expected ?

Nicolas du LAC, INTEMPORA, and Gerard YAHIAOUI, NEXYAD, presented their innovations and explained how the MOVEO Groupement ADAS helps to be stronger for their innovative startups.
Nicolas talked about RT-MAPS that is a software tool for R&D, making easy the task of developing applications with multiple sensors (cameras, lidar, radar, …) that of course are not synchronized and that must collaborate through algorithms of sensor fusion in order to get good objects detection and recognition.
Gerard talked about SafetyNex that is an onboard real time module that is the only module in the world that can estimate driving risk 20 times per second. Self-driving car can then know the risk it takes with and it simplifies the development of autopilot (example : « if risk too high then slow down »).


Tech&Co est le nouveau RDV de l’actu du numérique sur BFM Business réalisé avec 01net.com. Sébastien COUASNON et ses invités commentent les grandes tendances qui bouleversent les acteurs de l’économie : voiture autonome, drones, réseaux sociaux,…

Et si le véhicule autonome arrivait plus tôt que prévu ?
Ce mercredi 1er novembre 2017, Sébastien Couasnon et ses invités se sont intéressés à l’arrivée des voitures autonomes sur nos routes. Et si le véhicule autonome arrivait plus tôt que prévu ? On en parle avec: Jean-Edmond Coutris, directeur du département Automotive chez Emerton. Gérard Yahiaoui, vice-président de Mov’eo. Et Nicolas Du Lac, fondateur d’Intempora. – Tech & Co, présenté par Sébastien Couasnon, sur BFM Business.


Le président de BMW Group France et le PDG de Nexyad
sur BFM Business

Le 13 juin 2016, Serge Naudin Président de BMW Group en France et Gérard Yahiaoui PDG de Nexyad étaient les invités de Stéphane Soumier du Good Morning Business sur BFM Business.

BMW mise sur la French Tech pour développer la mobilité connectée :




Pour célébrer ses 100 ans, BMW tente de développer la mobilité connectée tout en favorisant le respect de l’environnement. La stratégie du groupe s’articule autour de trois piliers: l’innovation, la connectivité et la mobilité individuelle. Pour y arriver, sa filiale française a sélectionné trois entreprises innovantes afin de mettre au point cette mobilité du futur. La start-up Nexyad est l’une d’entre elles. Cette dernière a développé un algorithme de vision qui permettrait aux conducteurs de détecter les obstacles. Ce logiciel d’estimation sera directement intégré au smartphone et à la voiture.

Gérard YAHIAOUI presents the INI Groupment at the French Government Meeting : PLAN NOUVELLE FRANCE INDUSTRIELLE ‘VEHICULE AUTONOME” (« Plan for new industrial France “autonomous vehicle”)

Gérard YAHIAOUI, President CEO of NEXYAD, presents the Mov’eo Groupment INI (Intégration du Numérique pour l’Industrie : Integration of Digital Technologies for Industry).

This presentation shows demo cars development platform (for autonomous vehicle) proposed by this cluster of high-tech SMEs. The presentation is made in collaboration with the President CEO of ADM Concept, Dominique MOCQUARD. This presentation is organized by DGCIS at RENAULT location in Guyancourt.