Nexyad compiled ten technology demos of our module software RoadNex v2.3
. 10 different roads : highway, desert track, country road, red road, et.
. 10 different conditions : fog, rain, front sunshine, overtaking, etc.
. 10 same excellent results : road on front of vehicle is detected
The 10 complete demos on « PRODUCTS » menu above
Come to visit us on booth 17 and don’t miss Nexyad SafetyNex Presentation :
Wes 13th – Track 3 : Technology & Innovation
3PM : Onboard road safety assessment for insurance companies (pay how you drive) and for car manufacturers (driverless car) SafetyNex
Insurance Companies :
Move from pricing group by group (segmentation) to pricing driver by driver Then statistics of accident cannot be relevant (accidents are rare and one cannot wait for accident to modify the pricing for a driver). One need to predict … to estimate if the driver takes risks or not. And it would be great to have it in real time because it may be used to warm the driver before he/she gets in a dangerous case.
Car Manufacturers :
Measure the risk taken by the driverless function. Needed to control the driverless function, needed to know when to give back control to the driver, needed in case of accident for responsability study.
Nexyad RoadNex v2.3 – Road Detection for ADAS, Autonomous Vehicle & Connected Car on Highway by Dark Night.
RoadNex detects the lane and the road surface and does not depend on the level of equipment of road infrastructure. Here, low light and poor contrast don’t prevent detection.
Connected Car Insurance Europe 2016
Tuesday 12th & Wesnesday 13th April – Hilton Tower Bridge London
Wes 13th – Track 3 : Technology & Innovation
3PM : Onboard road safety assessment for insurance companies (pay how you drive) and for car manufacturers (driverless car) SafetyNex
Insurance Companies :
Move from pricing group by group (segmentation) to pricing driver by driver Then statistics of accident cannot be relevant (accidents are rare and one cannot wait for accident to modify the pricing for a driver). One need to predict … to estimate if the driver takes risks or not. And it would be great to have it in real time because it may be used to warm the driver before he/she gets in a dangerous case.
Car Manufacturers :
Measure the risk taken by the driverless function. Needed to control the driverless function, needed to know when to give back control to the driver, needed in case of accident for responsability study.
Day 1 – 16:00 – Shifting legislation for automated vehicles
Gerben Feddes, senior advisor intelligent mobility, RDW, Netherlands
The RDW is the Netherlands vehicle authority. We face new challenges in the type approval of vehicles. New intelligent products also need to pass the type approval. But legislation is missing. We foresee new legislation: why have a complex admittance procedure when vehicles are ever changing? Is the type approval going to shift from admittance to in-use compliance? And is safety shifting from in-vehicle (e.g. ABS) to the interaction between vehicles (e.g. V2X)? The presentation gives an overview of new tests needed.
HIGH-TECH, ADAS, AUTONOMOUS VEHICLE, CONNECTED CAR NEWS
Headlines :
– Nexyad has just been rated by Early Metrics : We got Three Stars
– The Ultimate Solution for Insurance Companies that need Onboard Risk Assessment : SafetyNex
– Obstacle Detection using ObstaNex BiCam v1.0 : Rear Vision Demo
– Road Detection using RoadNex on Smartphone Camera (IOS,Android, Windows Phone)
– Future Presence of Nexyad on Congresses & Exhibitions (ADAS, Autonomous Cars & Insurance)
– Nexyad in Media
– Meeting with French Senator Claude NOUGEIN
. WHY TESTED SOLUTIONS ALL FAILED (ACTUARIES SAY) ?
. WHY SOLUTIONS BASED ON « SEVERE BRAKING », « VELOCITY IN CURVE », « ACCELERATIONS » … HAVE STRICTLY NO CHANCE TO WORK ?
. WHAT TO DO TO GET A RISK ASSESSMENT MODULE THAT WORKS? (Presentation of a disruptive solution)
RoadNex v2.3 Road Detection for ADAS on Foggy Long Curve
RoadNex detects the lane and the road surface and does not depend on the level of equipment of road infrastructure. Here, fog doesn’t prevent detection.
The new release of NEXYAD Road Detection RoadNex v2.3 is now available in RT-Maps 64bits (by Intempora).
RoadNex detecting track in desert
New Release of Road Detection Nexyad RoadNex v2.3 (32bits) is twice Faster.
Road Detection in Traffic
Nexyad Team validated that RoadNex v2.2 works in real time on smartphone !
Soon available on IOS, Android and Windows Phone.
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
Early Metrics, first rating agency for startups gave three stars to NEXYAD.
The audit responded to an external demand by a large industrial company. The founders, the project, the market and the financial statement of NEXYAD were scanned by experts for a score of 75/100.
More informations : Early Metrics
« Handpicked pioneering executives from the most innovative insurers, brokers and automakers leading the way in insurance telematics. See a unique collection of speakers to be found at no other event. »
The NEXYAD Team will present SafetyNex.
Speakers’ List & Bio here : http://www.tu-auto.com/connectedcar-insurance-eu/conference-speakers.php
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
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 :
18 Feb 2016 :
NEXYAD CEO Gerard YAHIAOUI, and a panel of SMEs founders invited by Isabelle STHEMER of DojoGroup, in Paris.
The main purpose was to share ideas that may enhance SMEs performance and French competitivity.
Gérard Yahiaoui in a very casual discussion.
The Senator Claude NOUGEIN (here) that dares to talk to the base for a better understanding of the micro economy in the country. Quite unusual in France and very important !
Thank you Monsieur le Senateur !
NEXYAD explique pour les Assureurs que les solutions de télématique actuelles ne permettent pas et ne permettront jamais de calculer un risque d’accident. NEXYAD présente une innovation qui propose une approche totalement disruptive du calcul de risque : SafetyNex
Lire l’article Calcul du risque d’accident pris par les conducteurs. Fév 2016 (pdf)