Another look on PFA event (french automotive sector day) in Paris

Video of DREAMOTOR 1 at PFA event in Paris Oct. 26th 2021
Featured participant to DREAMOTOR 1 demo car : Nexyad, Nextmove, EcoTechnilin, Intempora, YoGoKo
 

 
Visit the PFA website
 
#dreamotor1 #roadsafety #intelligentcar #democar #nexyad #YoGoKo #SGBsystems #FHelectronics #Nextmove #Intempora #EcoTechnilin #!important #NormandyRegion #EuropeanUnion
#roadsafety #safetyscore #safetycoach #anticipativeACC #ACC #green #newmaterials #cockpit #PFA #Paris

New article from Auto News by Laurent Meillaud (in french)

 

NEXYAD, UN AS DE L’IA QUI FAIT MIEUX QUE TESLA ?

La PME française a mis au point un outil qui permet de calculer les risques en fonction du profil de la route, de l’environnement et de la vitesse. Ce système combine l’intelligence artificielle, des capteurs et des cartes de haute précision.

Lors du récent congrès sur les transports intelligents (ITS) de Hambourg, on a pu voir tourner dans les rues de la ville une Renault ZOE baptisée « Dreamotor 1 ». Et elle serait, selon ses concepteurs, l’un des plus sûres au monde. Pourquoi ? Parce qu’elle intègre un système d’intelligence artificielle très évolué, fruit de 20 ans de recherche au sein de la PME Nexyad, et qui a fait ses preuves*. Ce système a pour nom SafetyNex et mesure 20 fois par seconde le niveau de risque en fonction du contexte routier (vitesse, analyse de l’environnement, type de route). Cet outil assez unique s’appuie sur les cartes pour GPS de haute précision de HERE Technologies, dans le cadre d’un partenariat. La ZOE intègre une fonction « safety coach » qui s’appuie sur des données en temps réel pour recommander au conducteur à quelle vitesse maximale il peut rouler. Précisons que ce coach peut aussi agir en cas d’urgence sur le régulateur de vitesse intelligent (ACC), s’il estime que le niveau de danger est trop élevé et en cas de non-réaction. Le système d’IA de Nexyad bénéficie à bord de ce prototype de l’apport d’autres technologies pour calculer encore plus précisément en temps réel le risque routier.

Lire l’article en entier sur le site AutoNews.fr

 

 

 

 

 

 

 

French Automovive Sector day “PFA” In Paris

 

The 26th of october 2021 took place at la Cité des Sciences et de l’industrie in Paris, the day of the French Automotive Sector (PFA). Many officials, president of PFA, Luc Chatel, Industry miniter Bruno Lemaire, and automotive executives as Luca De Meo CEOof Renault Group were present.
Nexyad participated and showed outside its demo car Dreamotor 1 (below).
 

 

DEMO ICIM (above) is a demo car of the French Automotive & Mobility cluster NEXTMOVE that integrates technologies of member SMEs including NEXYAD Cognitive AI SafetyNex. This demo car Demo ICIM is a « sister » of DREAMOTOR 1. NEXYAD and NEXTMOVE have a signed partnership to promote the two cars together and show the excellence in clean and intelligent vehicles.

 

Nexyad has launched the cooperative demo car DREAMOTOR 1 at ITS World 2021 in Hamburg

 

Our DREAMOTOR 1 car was not already available. What we call DREAMOTOR 1 V0 is a RENAULT ZOE that we’ve been renting in Hamburg. In this ZOE we installed a PC + sensors etc. and could showcase 3 automotive functions :

. Safety score : at the end of every trip, we give statistics of caution : driving behavior is described with caution profile, risk (= lack of caution) profile, and global scores such as driving caution score, anticipation ability score, driving skills score, and observed self-confidence score.
. Safety coach : during driving, caution and risk are estimatied onboard in real time (20 times per second), and then are used to give advices to driver in order to avoid incautious behaviors. It has been validated that this system reduces accident rate by at least 25%.
. Anticipative ACC and AD : in real time, knowing context, the same system can estimate 20 times per second what should be the good behavior in order not to exceed a max accepted risk (= lack of caution). In particular, what should be vehicle speed (which brings a setpoint value to ACC).

This V0 did not integrate already all the technologies of partners which bring for most of them new inputs to NEXYAD caution assessment cognitive AI in order to get a better description of context.
This will be done in DREAMOTOR 1 V1.

Some OEMs tried DREAMOTOR1 V0 in the streets of Hamburg (real tests in real streets) and NEXYAD got very good feedbacks. Now we are on partners technologies integration to improve functions.

Soon the next episode at PFA Day (journée de la Plateforme Française de l’Automobile) à Paris.

 

See all information about DREAMOTOR 1.

NEXYAD Newsletter #34 is now available

NEXYAD Automotive & Transportation Newsletter #34, September 29th, 2021

 

Democar Nexyad Dreamotor1

 

HEADLINES  

– Nexyad CEO Editorial

– HERE360 Article about Nexyad Cognitive AI for Road Safety

– SIA Study Day: AI Applied to AV

– Democar Nexyad DREAMOTOR1

– New Book : From AI to Autonomous and Connected Vehicles

– Chair VAC at INSA Rouen – Press about Nexyad

 

Read NEXYAD Newsletter #34

New Book : From AI to Autonomous and Connected Vehicles

Gérard YAHIAOUI, Nexyad CEO, participate to this new publication from ISTE-WILEY.

 

From AI to Autonomous and Connected Vehicles

Advanced Driver-Assistance Systems (ADAS)
Volume 2 – Digital Science SET Coordinated by Abdelkhalak El Hami

http://www.iste.co.uk/book.php?id=1800

 

Contents

 

1. Artificial Intelligence for Vehicles, Gérard Yahiaoui.
2. Conventional Vision or Not: A Selection of Low-level Algorithms, Fabien Bonardi, Samia Bouchafa, Hicham Hadj-Abdelkader and Désiré Sidibé.
3. Automated Driving, a Question of Trajectory Planning, Olivier Orfila, Dominique Gruyer and Rémi Sainct.
4. From Virtual to Real, How to Prototype, Test, Evaluate and Validate ADAS for the Automated and Connected Vehicle?, Dominique Gruyer, Serge Laverdure, Jean-Sébastien Berthy, Philippe Desouza and Mokrane Hadj-Bachir.
5. Standards for Cooperative Intelligent Transport Systems (C-ITS), Thierry Ernst.
6. The Integration of Pedestrian Orientation for the Benefit of ADAS: A Moroccan Case Study, Aouatif Amine, Abdelaziz Bensrhair, Safaa Dafrallah and Stéphane Mousset.
7. Autonomous Vehicle: What Legal Issues?, Axelle Offroy.

Article on Nexyad & Here partnership by GeoSpatial World

Maximum speed recommended for a specific vehicle at a specific time

Nexyad’s real-time data aggregation platform provides two output values ​​20 times every second: the lack of caution of the driver and the maximum speed recommended given the road conditions – legal speed limit, road roughness, topography of the road, weather, and traffic. Nexyad bases its analysis on several thousand road accident reports, using a set of rules from modern hybrid AI which includes knowledge-based systems, deep learning, neural gas, PAC (Possibly Approximatively Correct) learning, game theory, reinforcement learning, possibility theory and fuzzy logic.

By recommending a ‘maximum cautious speed’ based on real-time data and context-specific to every single vehicle, driver and driving environment, Nexyad’s approach goes much further than the European requirement for vehicles to be aware of the legal speed limit on each road segment (Intelligent Speed Assist). Nexyad’s safety coach called SafetyNex acts as a true co-pilot for the driver as it provides real-time guidance so as to anticipate possible emergency situations ahead that may lead to an accident. This proactive coaching activates while driving and has been demonstrated to reduce accident rates by at least 25%.

Read full article on GeoSpatialWorld.net

New article about HERE & Nexyad partnership on “Modern Manufacturing India”

Nexyad and HERE Technologies Deploy Next-Gen cognitive AI to Improve Vehicle Safety

Paris, France – Nexyad, an embedded, real-time platform for aggregating on-board data, and HERE Technologies, the leading location data, and technology platform, have teamed up to bring cognitive Artificial Intelligence (AI) to the world of road safety. Nexyad employs cognitive AI to aggregate and interpret extensive data sources in a vehicle in real-time to determine whether a particular driving behavior is appropriate given the surrounding context. This assessment can be easily delivered to a driver via mobile phone and is calculated using only four sets of data: HERE map, Global Navigation Satellite System, electronic horizon, and acceleration. Nexyad’s platform is also scalable, with the ability to aggregate data from Advanced Driving Assistant Systems (ADAS) sensors such as camera, radar and lidar, weather (visibility and temperature), and traffic data.

Read full article on mmindia.co.in