New Release of Road Detection Nexyad RoadNex v2.3 (32bits)
New Release of Road Detection Nexyad RoadNex v2.3 (32bits) is twice Faster.
Road Detection in Traffic
Étiquette : automotive
RoadNex Validation on Smartphone
Nexyad Team validated that RoadNex v2.2 works in real time on smartphone !
Soon available on IOS, Android and Windows Phone.
ObstaNex BiCam v1.0 : Rear Vision Demo
Demo of NEXYAD technology for ADAS.
Nexyad combines one camera with another one for obstacle detections (ObstaNex v2.1) and uses data fusion to reshape stereo.
This solution still can work in mono when one camera is off.
In this example, we placed cameras in the place of rearview Mirror on a van.
Detection of pedestrian near the vehicle
Autonomous Vehicle Test & Development Symposium 2016 :
List of speakers
DEDICATED TO THE TESTING, DEVELOPMENT, AND VALIDATION OF AUTONOMOUS VEHICLES AND NEXT GENERATION ADVANCED DRIVER ASSISTANCE SYSTEMS!
31 MAY – 2 JUNE 2016 | STUTTGART, GERMANY
Full list of speakers confirmed include:
• Daniel Benhammou, CEO, Acyclica Inc
• Wolfgang Herzner, senior engineer, AIT Austrian Institute of Technology GmbH
• Paul Krutko, President & CEO, Ann Arbor SPARK
• Sandeep Sovani, director, global automotive industry, Ansys
• Marcos Pillado, project manager, Applus+ IDIADA
• Henning Lategahn, managing director, Atlatec GmbH
• Jeffrey Ferrin, head of research, Autonomous Solutions Inc
• Juergen Holzinger, project manager AVL-Drive, AVL List GmbH
• Alexander Noack, head of sales, b-plus GmbH
• Philipp Kerschbaum, HMI development, BMW Group
• Igor Doric, scientific and technical manager, CARISSMA
• Stefan Lüke, project manager, Continental Division Chassis & Safety
• Reija Viinanen, managing director, Fell Lapland Business Services
• David LaRue, manager ADAS/AD systems, FEV
• Francesco Crisci, senior test engineer, Fiat Chrysler Automobiles
• Adrian Zlocki, head ADAS department, FKA
• Manuel Merz, research engineer, Ford
• Stefan Wolter, HMI specialist, Ford
• Frederik Diederichs, senior researcher, Fraunhofer IAO
• Arno Eichberger, associate professor, Graz University of Technology
• Tom Lueders, director tools and testing, Hella Aglaia Mobile Vision GmbH
• Chris Reeves, commercial manager, future transport technologies, Horiba Mira Ltd
• Alexander Treis, business development manager, IEE SA
• Alice Siu Man Chan, senior research engineer, Institute for Infocomm Research
• Fu Keong Chia, research engineer, Institute for Infocomm Research (I2R), A*STAR
• Peter Vertal, head of research, Institute of Forensic Engineering, University of Zilina
• Fabian Bauer, engineer software development, IPG Automotive GmbH
• Edwin Nas, deputy project leader self-driving vehicles, Netherlands, Ministry of Infrastructure & the Environment
• Lyn Matten, managing consultant, MM1 Consulting & Management PartG
• Volker Scholz, managing partner, MM1 Consulting & Management PartG
• Dominic Gallello, CEO, MSC Software
• Gérard Yahiaoui, President and CEO, Nexyad
• Rien van der Knaap, managing partner, OC Mobility
• Mugur Tatar, managing director, QTronic GmbH
• Gerben Feddes, senior advisor intelligent mobility, RDW
• Heather Stoner, division manager, Realtime Technologies Inc
• Arnd Engeln, professor of Market and Advertising Research, Traffic and Transport Psychology, Stuttgart Media University
• Robert Friis, president, Summit Development Group LLC
• Saskia de Craen, senior researcher, SWOV Institute for Road Safety Research
• Rikke Kuipers, senior security specialist, Synopsys
• Brian Ceccarelli, owner, Talus Software
• Robin van der Made, product manager software and services, TASS International
• Padmanaban Dheenadhayalan, engineer, Tata Elxsi Ltd
• Maria Kreußlein, research assistant, Technische Universität Chemnitz
• Nicholas Clay, senior manager – testing, Thatcham Research
• Andrew Miller, chief technical officer, Thatcham Research
• Rebecca Advani, senior technologist, Transport Systems Catapult
• Nick Reed, academy director, TRL
• Paul Newman, BP Professor of information engineering, University of Oxford
• Alain Piperno, autonomous vehicles testing/homologation project manager, UTAC CERAM
• Patrice Reilhac, innovation and collaboration research director, Valeo CDA
• Oscar Slotosch, member of the board, Validas AG
• Ingo Nickles, field application engineer, Vector Software
• Diego Minen, technical director, VI-Grade
• Carina Björnsson, technical expert, driver assistance and active safety test methods, Volvo Car Corporation
• Aki Lumiaho, principal scientist, VTT Technical Research Centre of Finland Ltd
• Christian Purucker, project manager, WIVW GmbH
• Gunwant Dhadyalla, principal engineer, WMG, University of Warwick
Nexyad Intelligence :
Experts say driverless cars will require artificial intelligence
Automakers intending to bring driverless cars to market need to work as much on software design as mechanical engineering, the researcher leading Nissan Motor Co.’s automated-vehicle program said.
Making cars that are “deliberative” in assessing road conditions, rather than just reactive, requires artificial intelligence, Maarten Sierhuis, director of Nissan’s Silicon Valley research center in Sunnyvale, California, said in an interview. The carmaker, which aims to sell vehicles that can drive themselves by 2020 or sooner, is developing software to read and filter sensor data much as a human brain does, he said.
To read more : http://www.newsday.com/classifieds/cars/experts-say-driverless-cars-will-require-artificial-intelligence-1.8817975
NEXYAD has been working on such an Artificial Intelligence through their risk of accident computing module SafetyNex.
SafetyNex is a knowledge-based system that computes a huge data fusion : information about the navigation map, speed of the car, accelerations, visibility, grip(adherence), time to collision, interdistance, … This data fusion aims to compute a risk of accident : low score means the driver (human driver … or Artificial Intelligence, robot) drives in a safe way. This SafetyNex is an artificial intelligence that should work embeded with the driving robot.
The first market of SafetyNex is Insurance companies that need to score the behaviour of drivers (pay how you drive …), it doesn’t need to be as precised and reliable than it should be for a driverless car, but NEXYAD started to deploy and then will be the most experienced ADAS/AI company on this subject in 2020 when autonomous cars will invade the streets.
Nexyad made experimentation in the same path with four different driving behaviour, each second we recorded points that represent a score of safety and of Eco driving. The more high on the graphic is the points the more safe is the driving, the more right the more Eco :
Gérard Yahiaoui, Nexyad CEO speaker at
Autonomous Vehicle – Test & Development Symposium 2016
STUTTGART 31 may – 2 june 2016
june 1st – 09:30 – Building a relevant validation database for camera-based ADAS
Validation of camera-based artificial vision systems applied on open world is a very complex issue. An HD colour camera may generate more than 65 000 power 2 000 000 different images (information theory), so it is not possible to test every possible message. We propose a deterministic approach for building a validation database using the AGENDA methodology that was developed and published in the 1990s for neural network database (learn and test) design.
French National Projects : Initiative PME (ADEME)
Safety/Risk of Accident
NEXYAD is proud to announce that our project SEMACOR has been approved.
This project will help to us to accelerate applications of road safety/ risk of accident estimation
in embedded connected devices (based on the NEXYAD software SafetyNex) : new vehicles and also telematics devices (aftermarket applications for car industry, insurance companies, etc …)
Contact NEXYAD if you need to measure both safety and eco-driving onboard : (sales@nexyad.net)
Demo of SafetyNex : https://nexyad.net/Automotive-Transportation/?page_id=441
NB : SafetyNex is THE ONLY module that measures road safety (correlated to accident), validated by
experts of French Accident Administration (cf. paper at congress PRAC 2010 « évaluation du risque
de sortie de route pour l’aide à la conduite ou le diagnostic d’infrastructure », J Brunet, P Da Silva Dias, G. Yahiaoui, Session 1 « caractérisation du risque routier »).
NEXYAD Automotive & Transportation Newsletter #7 available !
Spreading the World
Summary :
– French National Projects : Initiative PME (ADEME)
– Visibility Measurement : Release v2.0 of VisiNex Onboard
– Risk & Safety Estimation in Driving : SafetyNex Software Module
– Nexyad expertise about Autonomous vehicle : ERTS2 2016 – 8th European Congress
– Future Presence of Nexyad on Congresses & Exhibitions (ADAS, Autonomous Cars & Insurance)
– Nexyad New Customers : Focus on VeDeCoM
To read the Newsletter : https://nexyad.net/Automotive-Transportation/?p=1667
RoadNex v2.2 in Online Store of Intempora
Nexyad RoadNex v2.2 is the only Road Detection module software operable in framework RT-Maps by Intempora.
It is possible to connect multiple sensors included cameras on RT-Maps, collecting data in real time and time-stampted them. Later play and replay video with all your data.
ERTS2 2016 – 8th European Congress
From 27th to 29th january 2016 at Toulouse in France took place the 8th European Congress « Embedded Real Time Software and Systems », centre de Congrès Pierre Baudis.
Gérard Yahiaoui, Nexyad CEO participated to a roundtable about Highly Automated Driving conducted by journalist Laurent Meillaud and organized by Louis-Claude Vrignaud (Continental); with Paul Labrogere (IRT System X), Jean-François Simeon (Akka Research), Franck Foersterling (Continental Automotive), Ernesto Exposito (CNRS Laas), David Lopez (NXP) and Gilbert Gagnaire (EasyMile).
Background of NEXYAD on artificial vision-based ADAS
Among the few companies that worked on ADAS and Autonomous Vehicle since a long tima, NEXYAD is one that have the most cumulated experience.
1993 : scientific paper by Gerard Yahiaoui (Founder of NEXYAD with Pierre Da Silva Dias) with a researcher of the Automotive Company PSA Peugeot Citroën : « Texture-based Image Segmentation for Road Recognition with Neural Networks », G. Yahiaoui, M. de Saint Blancard, Sixth international conference on neural networks and their industrial & cognitive applications NeuroNîmes93, EC2, Nîmes, 1993,
2007 : participation of NEXYAD to the DARPA Challenge (Autonomous Vehicle) in the team « Blue Froggy » (with INRIA and INDUCT).
2016 : road detection, obstacle detection, road safety estimation, visibility measurement, available on smartphones (in March).
Experience matters !
What your company was doing in 1993 in the field of ADAS ?
What your company was doing in 2007 about Autonomous Cars ?
NEXYAD accumulated work on artificial vision based ADAS since more than 20 years, even when nobody believed that one day it will be camera inside cars.
You must need our know how…
Nexyad wrote a paper in the book
Energy Consumption and Autonomous Driving
METHODOLOGY for ADAS VALIDATION :
Potential Contribution of Other Scientific Fields Which Have Already Answered the Same Questions
By Gérard YAHIAOUI & Pierre DA SILVA DIAS
This volume by Jochen Langheim collects selected papers of the 3rd CESA Automotive Electronics Congress, Paris 2014. CESA is the most important automotive electronics conference in France. The topical focus lies on state-of-the-art automotive electronics with respect to energy consumption and autonomous driving. The target audience primarily comprises industry leaders and research experts in the automotive industry.
To buy the book : http://www.springer.com/jp/book/9783319198170
Economic Intelligence presentation on Nexyad-ADAS blog
NEXYAD always looking at surveys about ADAS and driverless cars market … Here is a relevant study about Automotive Advanced Driver Assistance Systems Market (2015-2025), by ReportBuyer.com
The Next Step Towards Autonomous, Self-Driving & Driverless Cars
LONDON, May 12, 2015 /PRNewswire/ — Report Details
In many ways, advanced driver assistance systems (ADAS) are the first step on the road to semi-autonomous or fully-autonomous self-driving and driverless vehicles. In 2015, Park Assistance, Surround-View Cameras, and Adaptive Cruise Control applications dominate the ADAS market; however, the penetration into passenger cars is relatively low despite the increasing rate of installations into the premium car segment manufacturers.
Often these are fitted in isolation, and even where multiple systems are fitted in a vehicle, great care is taken to ensure that these systems are perceived only as assisting the driver (who must remain fully alert) rather than taking over his role. As the number and abilities of these systems increases, the situation will move further along a continuum from driver assistance to in effect driver substitution, meaning that the driver would no longer be required to be alert and instead the onus would fall on the vehicle to warn the driver when his input was required, bringing him back to a state of full alertness.
To read more : http://www.nexyad-adas.com/archives/2015/12/31/33118647.html
Nexyad RoadNex v2.2 – Road Detection on little road in Forest
Nexyad RoadNex v2.2 – Road Detection on little road in Forest
RoadNex detecting the lane on the road with or without markings.
The green Arrow shows the possible direction to follow.
Nexyad provides modules for ADAS (Advanced Driver Assistance Systems) : some of those modules such as RoadNex road detection or ObstaNex obstacles detection are competitors of the famous modules of the company Mobileye.
RoadNex v2.2 Scooter passing by in City Traffic
RoadNex v2.2 Road Detection – Scooter passing by in City Traffic
RoadNex v2.2 Road Detection – Scooter passing by in City Traffic
RoadNex detecting the lane on the road with or without markings.
Here, see the red line that reduces with scooters and cars; and the red surface highlighted which stops with scooters and cars, telling us it’s not road anymore, so detecting obstacles in negative.
The green Arrow shows the possible direction to follow.
Nexyad provides modules for ADAS (Advanced Driver Assistance Systems) : some of those modules such as RoadNex road detection or ObstaNex obstacles detection are competitors of the famous modules of the company Mobileye.
RoadNex v2.2 Road Detection for ADAS : Road without Marking
RoadNex v2.2 Road Detection for ADAS : Road without Marking
Nexyad RoadNex v2.2 for ADAS Road without Marking
RoadNex detects the lane and the road surface and does not depend on the level of equipment of road infrastructure.
RoadNex v2.2 Road Detection for ADAS on Road at Night
Nexyad RoadNex v2.2 Road Detection for ADAS on Road at Night
RoadNex detecting the lane and the surface of the road at night when the light are on.
Nexyad provides modules for ADAS (Advanced Driver Assistance Systems) : some of those modules such as RoadNex road detection or ObstaNex obstacles detection are competitors of the famous modules of the company Mobileye.
RoadNex v2.2 Road with markings on both sides
RoadNex v2.2 Road with markings on both sides.
RoadNex detecting the lane on road and detecting the surface of the road with strong sun light on front of the car and the camera…
Nexyad provides modules for ADAS (Advanced Driver Assistance Systems) : some of those modules such as RoadNex road detection or ObstaNex obstacles detection are competitors of the famous modules of the company Mobileye.
RoadNex v2.2 Desert Track
RoadNex v2.2 Desert track
RoadNex detecting the lane on the desert track : sand road, no markings, stones, etc…
Contrast of colors is very poor, detection is still fine.
Nexyad provides modules for ADAS (Advanced Driver Assistance Systems) : some of those modules such as RoadNex road detection or ObstaNex obstacles detection are competitors of the famous modules of the company Mobileye.
La PFA (Plateforme Française de l’Automobile) parle de NEXYAD
La PFA parlait déjà de Nexyad l’année dernière :
(extrait)
PFA – Ateliers de la filière automobile – 26 novembre 2014
« Pour Bernard Delaporte, PDG du groupe Danielson, spécialisé dans l’ingénierie en motorisation auprès des grands constructeurs, la solution vient notamment de l’union : « Même si notre entreprise est reconnue et appréciée, il me semble que nous manquons d’une dynamique forte dans un avenir proche. Pour pallier ce déficit, nous avons décidé de multiplier les participations collaboratives, notamment dans le cadre du GIE Everest Team, créé il y a six ans, partie prenante du pôle de compétitivité Mov’eo. Pour autant, nous sommes toujours référencés par entité par les constructeurs, alors que nous sommes une force de proposition collective qui apportons ensemble des solutions ». Sentiment partagé par Gérard Yahiaoui, PDG de la PME de haute technologie Nexyad, spécialisée dans le capital mathématique, et vice-président du pôle de compétitivité Mov’eo.
Prendre en compte la diversité culturelle à l’échelle européenne
Selon Gérard Yahiaoui (Nexyad), l’un des freins à son intégration à la filière française de l’automobile réside dans la taille de son entreprise. « En France, les grands groupes ne savent pas travailler avec des petites entreprises de dix personnes comme la mienne. En Allemagne, au contraire, plus vous êtes petit par la taille et plus vous êtes aidé pour croître. Côté français, notre entreprise n’est pas jugée assez importante pour pouvoir prétendre à une véritable activité industrielle.
Pourtant, alors qu’un industriel doit procéder à des investissements très lourds, une TPE a au contraire la possibilité de se développer sur un filet de marché très innovant qui peut devenir le marché de demain. Il est donc indispensable de collaborer avec elles ». Gérard Yahiaoui souligne également l’impressionnante « variabilité culturelle en Europe » qui implique une force d’adaptation des PME/ETI/TPE en fonction des attentes de chaque constructeur européen, qui diffèrent d’un pays à un autre. »
http://www.pfa-auto.fr/files/4414/2503/3295/11h00_A-PME_force_mobilit_innovante-clc.pdf