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

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

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

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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

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, head of innovation of Kap-Code

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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.

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

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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 :

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, 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

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

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.
© 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 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, CEO of Yogoko