Tag Archive: Renault

Jun
14

Challenge Open Innovation Renault

On June 13th, RENAULT entrusted the MOV’EO competitiveness cluster with the organization of a new Open Innovation Challenge on the theme “Connectivity and services”.
Through this initiative, RENAULT wishes to detect new proposals from SMEs and innovative startups on these themes, in order to develop collaborations on the most relevant projects.
Among the selected startups were Nexyad that presented SafetyNex, and the “Groupement ADAS” cluster of 10 companies working in the field of ADAS and autonomous vehicle.


Challenge Open Innovation Renault

Gérard Yahiaoui, CEO Nexyad – Nicolas Dulac for “Groupement ADAS”


Jun
08

Rencontre HappYnnov à la CCI Versailles-Yvelines

La CCI Versailles-Yvelines, via sa communauté de l’innovation Open’Ynnov, avec ses partenaires – l’école d’ingénieurs l’Estaca, le pôle de compétitivité Mov’eo, l’Institut Vedecom, le Ravi, le constructeur Renault et Engie – proposait le 7 juin une rencontre Happ’Ynnov Spécial “Les Mobilités du Futur”.HappYnnov

Après l’introduction de Gérard Bachelier – Président de la CCI, Stéphane Masson – responsable développement de l’Estaca présentait le livre “Mobilité du Futur”. Une table ronde animé par Stéphane Parpinelli réunissait Philippe Orvain – Vice Président de Mov’eo pour l’IDF; Luc Marbach – Directeur Général de Vedecom et Ghislain Delabie Connecteur Mobilité pour OuiShare. Puis, Dominique Levent Directrice de l’Institut de la Mobilité Durable pour Renault présentait les dernières avancées de la stratégie d’innovation du constructeur, avant que Lucie Ruchon, Adjointe au Directeur Délégué Ile-de-France de Engie explique les axes d’innovations de l’énergéticien.


Trois Startups des Yvelines pitchaient leur produit :
. SafetyNex, l’App de sécurité routière pour Nexyad
. Des scooters électriques pour Pink Mobility
. Une solution de mobilité partagée par Ecov

HappYnnovPrésentation SafetyNex à HappYnnov
HappYnnov Table Ronde & Pitch de Nexyad pour l’App SafetyNex

Apr
03

Conference on Machine Learning organized by SNCF

Very interesting conference on Machine Learning and Deep Learning.
SNCF RESEAUX welcomed a large audience last tuesday 28th march in Saint Denis.

French experts of A.I. field were introduced by Claude Solard SNCF réseau Chief Operating Officer and Jean-Jacques Thomas Director of Innovation.
Christophe Garcia, Full professor at INSA Lyon, deputy director of the LIRIS laboratory, gave an introduction to Neural Networks and Artificial Intelligence and answered to the audience’s questions.
Then, Gérard Yahiaoui, CEO of Nexyad, Vice President of the MOV’EO Cluster, explained the Criteria for use and Methodology for implementation: the methodology AGENDA.

SNCF Conference Gerard Yahiaoui
Gérard Yahiaoui CEO of Nexyad


From CEA List, Jean-Marc Philippe presented “Tools of the Network to the Optimized System”. The conference continued with a roundtable about the SNCF Cafeine Project or how to go from the industrial need to the applied solutions in SNCF Réseau; animated by Alain Rivero, SNCF Réseau Director of Cafeine Project; Xavier Roy, Head of Innovation of ITNovem; Michel Paindavoine, co-founder of Global Sensing Technologies and professor at University of Bourgogne; and Jean-Jacques Thomas Director of innovation of SNCF Réseau.

The CAFEINE Project proposes to use the Artificial Neural Networks to detect the defects of pantographs on moving trains, and also to read the number of each wagons, oars and containers.

Another roundtable was organized about Startups and A.I. with Kunthirvy Collin-Dy, Head of relationships with Startups of SNCF Réseau Robot Lab; and Yannick Gérard, Head of Project of DAVI.
Patrick Bastard, Director of Driving Assistance Systems engineering of Renault, ended the conference with a presentation on an opening to other fields of application : vehicles electrification, ADAS and autonomous driving.

Conference SNCF 3 speakers
From the left : Jean-Marc Philippe, Patrick Bastard et Christophe Garcia

Oct
19

Grand succès pour le 1er ADAS Morning

La première édition des ADAS Morning a eu lieu le 18 octobre 2016 à la Chambre de Commerce et d’Industrie de Paris. Cette rencontre était organisée conjointement par le pôle de compétitivité Movéo et le Groupement ADAS et avait pour thème la Sécurité Routière.
Les interventions étaient réparties en trois parties :

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

Rémi Bastien a conclu cette session et a repris quelques points des différentes interventions.

Gerard Yahiaoui
Gérard Yahiaoui P-DG de Nexyad présentant l’App SafetyNex

Rémi Bastien - Renault
C’est Rémi Bastien Directeur du Véhicule Autonome chez Renault qui a conclu l’ADAS Morning

Oct
18

ADAS Morning – ADAS & Sécurité Routière

Adas Morning 18 Octobre 2016

8h30: Accueil à la CCIP 2 rue de Viarmes, Paris 1er.

INTERVENANTS :

Claude Dumas – CEREMH 
Christophe Ramond – Prévention Routière
Franck Techer – IFFSTAR
Patrick Oberto – Promotion et Suivi de la Sécurité Routière en Entreprise
Philippe Caton – COVEA
Jean Zermati – ORANGE 
Philippe Chrétien – CEESAR 
Eric Violette – CEREMA 
Gérard Yahiaoui – NEXYAD
Stéphane Barbier – TRANSPOLIS
Rémi BASTIEN – RENAULT

12h: Cocktail

Avec les sociétés : Car&D, GlobalSensing Technologies, Intempora, Nexyad, Nomadic Solutions, Sherpa Engineering & Transpolis


Apr
20

RENAULT R-Link system allows SMEs to develop car applications

Renault R-Link : TomTom HD Traffic and Coyote Series

R-Link has TomTom navigation including IQ Routes technology. This calculates the ideal itinerary based on a statistical analysis of journey times during the six previous months, taking the day of the week and time of day into account.

It has LIVE services including:
•HD Traffic: the market’s best traffic information service, including an analysis of traffic flow by cross-referencing different sources of information for sections of road of just a few dozen metres in length. For any given itinerary, HD Traffic will optimise the motorist’s journey in order to avoid time loss or save fuel. It also provides precise information about the estimated arrival time as soon as the motorist sets off.
•TomTom Places: an online search facility in real time to locate a variety of features and services.
•5-day weather forecasts.
•Hazard warnings: depending on local legislation.

R-Link also has the Coyote Series (depending on market) driver aid application. This indicates hazardous zones thanks to real-time input from other users. Such zones may or may not include fixed speed checks. Coyote Series also warns of traffic incidents (accidents, items on the road, etc.) to improve everyday road safety by enabling the driver to anticipate the presence of slower-moving vehicles.

Renault R-Link Store
Renault’s aim is to make this a benchmark catalogue for automotive applications.

The strength of Renault R-Link lies in the fact that it proposes a store of applications designed for automotive use, without the functional or ergonomic- related shortcomings inherent in smartphones. R-Link Store is the first automotive application store for in-car use. The launches of New Clio and ZOE will coincide with the availability of an Introductory Pack of four pre-installed applications to enable owners to familiarise themselves with the connectivity made possible by R-Link. The free, pre-installed apps will be: e-mail, Weather, Renault Assistance and Renault R-Link Tweet, plus the LIVE services associated with the TomTom and Coyote Series functions (depending on market). The system is fully independent and there is no need to use a phone to access the available services and applications.

Instead, it is possible to consult or download a variety of services directly from the car or from a personal computer (via ‘My Renault’ where available). There are currently some 20 applications available via R-Link Store, and this choice is poised to expand very quickly as the system is extended to other vehicles of the range.

To read more : http://myrenaultzoe.com/index.php/zoe-description/r-link-multimedia-system/r-link-applications-and-app-store/

Oct
16

AUTONOMOUS and CONNECTED CARS
at ITS WORLD Bordeaux

NEXYAD Automotive & Transportation Newsletter #5, the 17th of october 2015



Summary :

– OVERVIEW OF ITS WORLD CONGRESS IN BORDEAUX

– USING NEXYAD ADAS MODULES FOR AUTONOMOUS VEHICLE AND SAFETY/RISK ESTIMATION

– REAL TIME ONBOARD RISK ESTIMATION CORRELATED WITH ROAD ACCIDENT

– NEXYAD IN MEDIA

News about ADAS VALIDATION

NEXYAD has been starting the development of a data base for artificial vision-based ADAS test and validation.

This data base will be relevant and unique because it is fully decribed in two ways :
. reality : position of road and obstacles
. driving situation (i.e. curve in a foggy weather with pedestrian crossing, …) using the methology AGENDA.

To read more :
– « Methodology for ADAS validation: Potential Contribution of other Scientific Fields which have already answered the Same Questions »,
G. Yahiaoui, P. Da Silva Dias, proceedings of the 3rd CESA Automotive Electronics Congress May 2014 Paris, Lecture Notes in Mobility,
ENERGY CONSUMPTION AND AUTONOMOUS DRIVING, Jochen Langheim Ed, Springer, pp 133-138.
– « Validation of Advanced Driving Assistance Systems », G. Yahiaoui, N. du Lac, SafetyWeek congress, Aschaffenburg, May 2015.

Business details :
A part of this data base will be soon available for free on the internet, to the worldwide ADAS and Autonomous
vehicle community (labos and firms).
If you wish to receive the link as soon as it is available, click HERE and fill the registration form.
(Free access to the NEXYAD Artificial Vision-based ADAS Validation Database)
The complete data base should be available soon through an annual membership.
For more information : contact NEXYAD Olivier BENEL +33 139 04 13 60

* * * * *


ITS World Congress in Bordeaux

ITS Patchwork

From 5 to 9 October, the ITS World Congress held in Bordeaux.
It is the world’s largest gathering on the subject of intelligent transport systems and numerous corporations and government agencies were present to discuss new technologies, communication and robotics which every day are revolutionizing commercial road transport, individual and collective.

From our point of view, three main domains distinguished themselves which are however increasingly closely intertwined: the vehicle, the infrastructure and information.
The most spectacular of them represented by the many autonomous vehicles that lined the stands or went in demo mode near the fairgrounds.

We noted a trend of convergence between the connected vehicle on one hand and adas in the other hand, all autonomous vehicles were also connected vehicles and communicating vehicles : car to x and x to car (especially radio link with fires and road signs.)

The AKKA link in city car without driver of the French IT company has rolled around the lake so the city. This electric car is the result of a call for projects from the agency for the development and innovation of the Aquitaine region and it uses open data from the city of Bordeaux and its neighbourhoods.

Akka - Renault

From Renault, we saw the Next Two a piloted car remotely by a tablet. It parked all alone with no one behind the wheel. We liked particulary that this functionality avoids a walking pedestrian crossing in front of the car. Then it returns to the starting point when you recall it, always from the tablet.

Moveo-Groupement ADAS is a cluster of 8 french SME’s that put their competence in common to develop autonomous car. They showed on their booth the demo car that has been made for ENSIAME University of Valenciennes, entirely robotised by FH Electronics. Nexyad designed the eyes of this car with his vision-based road detection system RoadNex that runs on the framework RT-Maps from Intempora. The other companies showed demos, products, and competence on detection, pattern recognition, eco-driving measurement, human factors, advanced engineering for autonomous cars.

Groupement ADAS - PSA

PSA Peugeot Citröen showed on its stand several R & D results in progress (for example, a work in collaboration with Nexyad : a plateform for simulation Car Easy Apps or CASA) Several autonomous vehicles rolled in urban circuit.

VeDeCoM presented four autonomous vehicles driving around the lake near the Congress place on a 7km open track. These demonstrators, which are dual-mode vehicles (manual driving and driving delegation level 4), combine the French expertise, derived from the public-private partnership research on the autonomous vehicle. We appreciated a lot the capacity of those demo cars to pass all the difficulties of the city, including roundabouts with traffic which are one of the key problems of the automated driving.

Smartlane - Citilog

Smartlane opens up your data silos and allows you to create a secure, accessible and integrated data hub. In this way your own data are carefully combined with external sources in order to provide comprehensive information value.

Valeo came also with an autonomous vehicle in demo on the road of Bordeaux : the Valeo Cruiser4U fitted with the valeo laser scanner and the valeo camera that uses Mobileye processor. This car was designed to scale in urban and suburban driving, it can change lane, reaching 130km/h.

Nexyad - Valeo

Nexyad was present on two booth at ITS. « Moveo Groupement ADAS » one showing innovative technologies of perception with a suite of software modules RoadNex, single camera based detection of sides of the road and detection of the surface of the road ; ObstaNex, single camera based detection of obstacles on the road and on the sides of the road ; VisiNex onboard, camera based measurement of the visibility ; and SafetyNex, a world unique tool to estimate the risk/safe in driving 100% correlated with accidentology. Nexyad was also present on the PSA Peugeot Citröen booth with the FUI, Moveo labelised, research program CASA.

Citilog showed his incidents detection system on motorways, and management of intersections in cities based on proprietary camera technology. Citilog was on Moveo Groupement ITS Infra booth with other SME’s.

ST - Citilog

ST Microelectronics showcased next generation technologies for automotive applications, with a range of solutions including telematics, positioning, ADAS, digital radio, and sensors. We discovered his partner AutoTalks the pioneer and leader of the V2X Technology.

TomTom makes his navigation more and more precise and efficient. They have fully mapped in 3D the roads of Germany to render, in the future, automated driving possible, and they will do the rest of Europe before the world, they say.

Navya is an electric shuttle 100% French without driver that moves at low speed through an embedded robot and multi-sensor system. Designed for urban mobility, first for closed sites and latter for the first or the last kilometer of a journey, it can accommodate up to twenty passengers safely. Demo on a course in the city of Bordeaux.

Atlatec makes ground reality which is very valuable for validation of ADAS. Put their box in your car, calibrate it and run. Then it stores a mass of data and the software creates automatically high precision 3D maps of the environment with high resolution top view of the road.

Here presented high definition maps combined with cloud technology. The leader of navigation brings to the driver, real-time location experiences through of a broad range of connected devices from smartphones, tablets to wearables and vehicles; and always more informations like road surface horizon (slope/cant track).

Here -

On the ITS World Congress we could feel very clearly that car manufacturers, Tier One and Tier Two Companies, stakeholders in mobility, in general, (including many SMEs) have heavily invested on ADAS and autonomous vehicles. It leads to a multitude of very advanced exhibitions, and present or future availability of high performance sensors at low costs, with associated signal processing, which are also mature.


Nexyad tries Autonomous Vehicle by VeDeCom at ITS World in Bordeaux

* * * * *



Using Nexyad ADAS Modules for Autonomous Vehicle
and Safety/Risk Estimation

by NEXYAD


INTRODUCTION

The company NEXYAD developped software modules for Advanced Driver Assistance Systems :
. RoadNex (Road detection) : lane detection, detection of the borderlines of drivable area in the lane, detection of the surface of drivable area in the lane.
Sensor : camera (color)

. ObstaNex (Obstacles detection) : obstacles detection (if they have a vertical dimension or – inclusive – if they have their own movement)
Sensor : camera (N&B or color), accel, gyro

. VisiNex onboard (weather visibility measurement) : visibility measurement (quality and distance)
Sensor : camera

. SafetyNex : onboard road safety / risk estimation
Sensor : navigation map, gps, accel or car speed

Those modules were made to develop very efficient ADAS.
There are many ways of comining those modules, depending on the function that should be developped.

LANE KEEPING AND AUTOMATIC BRAKING : FOR CAR MANUFACTURERS AND TIER ONE COMPANIES

For this function, modules may be integrated in a rather complex way :
Nexyad Suite 1
Such an application needs to know where it works and where it doesn’t work (reliability). For that, VisiNex helps because it measures weather visibility and the nit is possible to know in which context artificial vision algorithms are efficient or not. It is also possible to switch setting parameters of artificial vision based algorithms using visibility characteristics, in order to expand the range of good performance of the global system (this is robustness).

NEXYAD applies a validation methodology called AGENDA (see papers in CESA Automotive 2014 in Paris and in SATETYWEEK 2015 in Aschaffenburg). This methodology is the onlt approach that allows to know what the system is supposed to do in a functional point of view, with measurable characterisctics of road scenes.
NEXYAD of course uses the NEXYAD ADAS validation data base : a part of this validation data base for artificial vision-based ADAS will be soon online for free (usable by every researcher or engineer in the world).

Note : the AGENDA methodology also provides a method to measure the similarity of a road scene in the validation data base anda current road scene : this is applied to estimate a confidence score.

SAFETY / RISK ESTIMATION FOR INSURANCE COMPANIES

SafetyNex measures the adequation of driving to road infrastructure characteristics.
It generates then a risk if the driver goes too fast when approaching a crossing road or a dangerous curve.
Of course, a poor visibility should lead the driver to drive slower.
In addition, there could be auxiliary inputs that would tell SafetyNex if there are obstacles on the pathway :
Nexyad Suite 2
This scheme is the same than the previous one but the outputs of RoadNex and ObstaNex are used INSIDE the scheme (they don’t provide an output of the global scheme).

DEMOS OF NEXYAD MODULES



REFERENCES

Validation of Advanced Driving Assistance Systems by Gérard Yahiaoui & Nicolas Du Lac
CESA Paper by Gérard Yahiaoui & Pierre Da Silva Dias
Road detection for ADAS and autonomous vehicle
Using the NEXYAD road detection (RoadNex) to make obstacles detection more robust
Real Time Onboard Risk Estimation Correlated with Road Accident
Visibility Measurement for ADAS and Autonomous Vehicle


* * * * *



Real Time Onboard Risk Estimation
Correlated with Road Accident

REAL TIME ONBOARD RISK ESTIMATION CORRELATED WITH ROAD ACCIDENT :
AN ENTIRELY SOLVED PROBLEM AND A PRODUCT ALREADY AVAILABLE FOR DEPLOYMENT

by NEXYAD

(Version Française ici)

INTRODUCTION

Measuring road safety in the context experienced by the driver is a topic of interest for several activities :
. car manufacturers, who can inform the driver of potential dangers
. autonomous vehicle developers who need to prove that the driving actually minimizes risk of accident.
. fleet managers and insurance companies who wish to measure the risk taken by drivers (how they drive)
. managers of road infrastructure that alway change infrastructure to adapt and lower the risk of accident

The company NEXYAD has been developing since 2001 an embedded onboard module, SafetyNex, to
estimate in real time the risk of accident.

PRECONCEIVED IDEAS ABOUT ROAD ACCIDENTS AND DRIVING STYLE

Many trials have been completed or in progress, particularly by insurance companies and fleet managers,
In order to measure what is called the “driving style”.

The assumption is that some drivers are more “nervous” than others, and that this has an impact on the accident: those that speed up or slow down quite often brutally would be “bad drivers” while those with a quieter driving style would be “good” drivers.
This assumption is contradicted by the facts. There is no statistical connection between the driving style and
the accident.

Formally, one can easily fancy very well that if a driver operates very quietly, without slowing, without
accelerating at 30 km / h, and if this driver passes through a stop road sign without braking … then the driving style is quiet but very accident-prone.
We then see that beyond the possible statistical link (that doesn’t exist), there can be no relationship of cause and effect.

All experiments that were conducted led to this result.
All those that will be conducted, based on more or less intelligent thresholding of the acceleration values are doomed to failure.
Do not confuse eco-driving and safe driving.

Driving style cannot be interpreted itself without context description :
. infrastructure shape and characteristic, on which the vehicle is traveling
. traffic (presence of other road users)
. weather conditions (visibility, grip, …)
. level of driver vigilance (distraction, drowsiness, sleep …)

NEXYAD has developed a scalable solution capable of taking into account all these factors.
SafetyNex is therefore able to estimate the risk of driving using all those variables.
Version 2.1 of SafetyNex, under deployment, takes into account the adequacy of driving style with the type and shape of infrastructure (breaks on route characteristics, turns, pedestrian crossings, intersections …).

This version has been intentionally reduced to « driving style vs infratructure characteristics », because it already gives a 90% correlation with accident and because this version is deployable at very low cost:
. on smart phone
. electronic device (developed by an automotive tier one company), without using the OBD socket)

CORRELATION OF RISK OF ACCIDENT ESTIMATED BY SafetyNex V2.1 AND ACCIDENT

NEXYAD participated in collaborative research programs since 2001, and worked then with experts from the road equipment.

In particular, SARI research program led to detecting what experts call “Break on the route characteristics”. For example, a turn with a big curve may be a danger when it arrives behind a long straight line, while the same curve will not be dangerous bend on a mountain road.

NEXYAD published a paper at the conference on road safety May 6, 2010 in Paris: PRAC 2010
Risk Prevention and Save The Conduct, Session 1 Characterization of road risk vs. infrastructure
« Evaluation du risque routier pour l’aide à la conduite ou le diagnostic de l’infrastructure », Johann Brunet, Pierre Da Silva Dias, Gérard Yahiaoui, PRAC 2010, Mai 2010, Paris.

The work that led to this publication were integrated in the available product SafetyNex. This means that by construction, the risk estimated by SafetyNex is correlated to the accident. This is true by construction, and NEXYAD conducted tests on roads, downtown, on motorways in urban areas, etc … and was able to validate this result.

PRINCIPLE OF SafetyNex V2.1

SafetyNet is a knowledge based system (expert system) which applies rules of the experts of the equipment.
These rules are stored in a rules data base in a mathematical form that can adapt to gradual actual characteristics of the infrastructure.

Required inputs are :
. the navigation map and the GPS: To examine the shape and type of the infrastructure located downstream of the vehicle (turns with their radius of curvature, points of interest like pedestrian crossing, crossroads, etc …)
. the instantaneous vehicle speed

From these two inputs, SafetyNex evaluates, by applying the rules, the adequacy of the driving speed of the vehicle to difficulty and danger of infrastructure.

A sporty driver accelerating hard, braking hard, but passing dangerous places at low speed will be scored with a low risk.
A quiet driver that passes through a stop road sing at 30 km / h without braking will be scored with a high risk.
A brutal braking cannot be considered as « bad driving » if it is necessary to avoid an accident …

We see then, that SafetyNex risk estimation is not correlated with the absolute value of acceleration, but with ACTUAL speed adaptation to difficulty and danger of the infrastructure, in real time.

Additional inputs (optional) are already scheduled, and can afford to modulate the estimated risk to increase acuracy of SafetyNex :
. grip (if one has a sensor to connect to the input provided for the purpose of SafetyNex)
. weather report (if one has the temporal and spatial information)
. atmospheric visibility (if one has adequate measure: example: a camera and the measuring module of atmospheric visibility : VisiNex)
. distance to potential obstacles (if it has an adequate sensor : eg radar, lidar, or camera with RoadNex ObstaNex modules)
. a driver distraction factor (if the driver is observed with a camera and / or if one monitors the activity of mobile phone, etc …)

All these additional inputs are already ready to be used by SafetyNex but of course, they increase the cost of deployment, involving sensors (camera, …) and additional computing power before getting in SafetyNex to process signals and images from the optional sensors.

Using SafetyNex V2.1 with only the required inputs already allows a very high correlation of the estimated risk with the accident. We recommend to implement this version, already infinitely more effective than any other onboard measurements.
The interest of SafetyNex is that the future is already assured: Moore’s Law by rapidly lowering the cost of electronics and embedded computing, SafetyNex is ready to process the additional inputs, when users want to integrate cameras and sensors.

TYPICAL USES OF SafetyNet V2.1

. Insurance Companies:

– Pay how you drive
– Predictive modeling of bonus malus: the same accident under the same conditions does not lead to the same conclusions based on accumulated historical and recording the last seconds risk SafetyNex
– Generation of a dumb risk variable, correlated to the accident, to help actuaries refine pricing (big data)

. Fleet managers

. Automotive equipment suppliers:

– Alarm on risk
– Intelligent Navigation able to advise the driver

. Engineers and researchers from autonomous vehicle:

– Driving Quality Assessment generated by the robot

CONCLUSION

Embedded estimation of road risk of accident is now a problem completely solved by a product available for deployment, SafetyNex.
SafetyNex is deployable at Low cost on:
. mobile phones
. electronic device of a Automotive Tier 1 supplier (without plugging the OBD).

And SafetyNex already planned to integrate (once the cost is acceptable) grip sensors and cameras (for example) to estimate traffic and atmospheric visibility, as well as information such as weather and driver distraction.

All of these are already processed by SafetyNex rules based system, so that the tool can quickly evoluate with each decrease in the cost of sensor elements and cost of computing power needed to compute sensors outputs.

* * * * *



NEXYAD Automotive & Transportation in Media

Logo Les Echos
Les Echos
“when the smartphone becomes a lookout driver”


Logo Le Monde
Le Monde
“Autonomous car is a dream the French Automotive sector”


Le journal de l'Automobile
NEXYAD was compared to Mobileye and considered as a serious player in the competition.
In french magazine Le Journal de l’Automobile, pp 52-54, 18 Sept 2015
« MobilEye a de la concurrence : longtemps en position monopolistique, la société israélienne a désormais un
concurrent qui s’annonce sérieux dans le domaine des algorithmes de gestion des caméras embarquées, Nexyad.
Rencontre avec les ingénieurs français qui pourraient changer la donne »

Sep
24

Nexyad cité dans LES ECHOS

Les Echos - Nexyad

Lire la suite ICI


Apr
18

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.