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High-Tech, ADAS, Autonomous Vehicle & Connected Car News

NEXYAD Automotive & Transportation Newsletter #8, March the 24th, 2016

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

Nexyad has just been rated by Early Metrics :
We got Three Stars

Early Metrics, first rating agency for startups gave three stars to NEXYAD.
The audit of NEXYAD has been ordered by a major industrial company of Automotive. The founders, the project, the market and the financial statement of NEXYAD were rated 75/100.
NEXYAD is then in the 20% highest rates ever given by Early Metrics.

More informations : Early Metrics

The Ultimate Solution for Insurance Companies that need Onboard Risk Assessment : SafetyNex

. 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)

Read the paper here.
Version française

Launch of SafetyNex Campaign :
Commercial SafetyNex

Obstacle Detection using ObstaNex BiCam v1.0 :
Rear Vision Demo

Nexyad runs two monovision-based obstacle detection modules (ObstaNex V2.1), and developed a data fusion algorithm that reshapes stereo.
This solution still can work in monovision when one camera is off.
In this example, we installed cameras in the place of rearview Mirror on a van.

Detection of pedestrian near the vehicle

Road Detection using RoadNex on Smartphone & RT-Maps

Road Detection using Smartphone Camera (IOS, Android, Windows Phone) : Nexyad Team validated that RoadNex works in real time on smartphone !
Otherwise, a new release of Nexyad Road Detection and software module is available on RT-Maps (by Intempora). RoadNex v2.3 (32 & 64 bits).

RoadNex Smartphone
Soon available on IOS, Android and Windows Phone.

Future Presence of Nexyad on Congresses & Exhibitions (ADAS, Autonomous Cars & Insurance)

Connected Car Insurance Europe 2016
Day 2 : April 13th1st 15:00 – Exclusive Nexyad Presentation by CEO Gérard Yahiaoui
The Ultimate Solution for Insurance Companies that need Onboard Risk Assessment : SafetyNex
Why tested solutions all failed (actuaries say) ?
Why solutions based on severe braking, velocity in curve, accelerations… have strictly no chances to work ?
What to do to get a risk assessment module that works ? (presentation of a disruptive solution)

Autonomous Car Test & Developement
Day 2 : June 1st 09:30 – Building a relevant validation database for camera-based ADAS
Gérard Yahiaoui, President and CEO, Nexyad, France
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.

Active Safety Munich
Nexyad will be present on a booth with Groupement ADAS.
Groupement ADAS is a Team of innovative companies with over 20 years experience in the field of technologies used in driver assistance systems and autonomous vehicles (design, implementation and integration of ADAS in vehicles for safety features, driver assistance, partial delegation to the autonomous vehicle). Members of the groupements propose complementary expertise, tools and test equipment (including test tracks) to take-up your challenging projects covering vehicle electronics, vehicle dynamics, command/control, HMI, perception, computer vision, data-fusion, communication, eco-driving… Groupement ADAS members are: CAR&D , FH Electronics, GlobalSensing Technologies, Intempora, Nexyad, Nomadic Solutions, Sherpa Engineering and Transpolis. It is coordinated by the French MOV’EO cluster.

Nexyad in Media

« En route pour la voiture autonome » – On the Way to Autonomous Car

LePoint

The french weekly « Le Point » on February 11th released a special section on the city of Saint Germain en Laye near Paris. The journalist Valerie Peiffer has devoted a page to Nexyad.

To Read More.

Meeting with French Senator Claude NOUGEIN

18 Feb 2016 :
NEXYAD president CEO Gerard YAHIAOUI, and a panel of SMEs founders were invited by Isabelle STHEMER of DojoGroup, in Paris, and could exchange points of views about economics and small business development with French Senator Claude NOUGEIN.

Gérard Yahiaoui and Senator Claude Nougein
The main purpose was to share ideas that may enhance SMEs performance and French competitivity.

Gérard Yahiaoui, Nexyad CEO
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 !

New Release of Road Detection Nexyad RoadNex v2.3 (32bits)

New Release of Road Detection Nexyad RoadNex v2.3 (32bits) is twice Faster.

RoadNex v2.3
Road Detection in Traffic

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 :

Good & Bad drivers

Sportive & Quiet Drivers

Gérard Yahiaoui, Nexyad CEO speaker at
Autonomous Vehicle – Test & Development Symposium 2016

STUTTGART 31 may – 2 june 2016

Test and Validation Strategies for Autonomous Vehicles Room B

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.

NEXYAD Automotive & Transportation Newsletter #7 available !

NEXYAD Products :
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 – 8^th 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.

Intempora-RoadNex

ERTS² 2016 – 8^th 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).

Toulouse

l’Institut VeDeCoM s’équipe avec RoadNex et ObstaNex

Nexyad est fier d’annoncer que l’Institut VeDeCoM, Véhicule Décarboné et Communiquant, vient d’acquérir des licences utilisateurs des logiciels RoadNex et ObstaNex.
L’institut VeDecom monte en puissance depuis sa création et entend jouer un rôle majeur dans les domaines des véhicules autonomes, connectés et électriques. Sa stratégie d’acquisition de l’état de l’art en vision et intelligence artificielle pour les ADAS profite à Nexyad au travers de ses produits de détection de route et détection d’obstacles.

En savoir plus sur RoadNex détection de la route : https://nexyad.net/Automotive-Transportation/?page_id=412

En savoir plus sur ObstaNex détection des obstacles : https://nexyad.net/Automotive-Transportation/?page_id=429

En savoir plus sur VeDeCom : http://vedecom.fr/fr/

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…

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.

ROBUSTNESS OF NEXYAD SOFTWARE MODULE
FOR ROAD DETECTION : RoadNex

ROBUSTNESS OF NEXYAD SOFTWARE MODULE FOR ROAD DETECTION : RoadNex

By NEXYAD

Detection of the road, detection of the lane, in front of the vehicle is now a « must-have »
for Advanced Driver Assistance Systems (ADAS) and of course for Autonomous Cars too.
Every R&D team is able to show cases of good detection. The difference between different
modules is robustness : ability to work in many cases (almost every cases).

For instance, robustness consideration led many big Automotive firms to interger the MOBILEYE
detection system : jus because MOBILEYE is more robust than detection systems developed by
those big firms. And robustness is not a matter of deployment : you won’t get a more robust
module is you put 10 000 developers on the project. You need time, big amount of data, and
« smart ideas ».

Note : This robustness definition leads to question on ADAS validation (« almost » every case is
not that well defined … how could we put some maths on those words). NEXYAD has been
developing an applied maths-based methodology for ADAS validation and is currently
recording a validation data base that will be soon available for free worldwide on the internet.

But let’s go back to road detection modules comparison.

There is another difference between road detection systems : do they need white markings
or are they able to work even without markings ?

NEXYAD founders has been working on road detection since the beginning of the 90’s and never
stopped (*). The NEXYAD team is one of the moste experienced team in the world about road detection.
That actually makes the difference, and RoadNex is a module that would take long to develop by
other teams. RoadNex is currently available on PC (windows, Linux) in the real time framework
RT-MAPS. RoadNex will be soon available :
. on electronic device of an Automotive Tier One Company
. on smartphones (so it works in real time on a smartphone usual processor ! try to compare to other modules)
(*) publication at a scientific congress in France in 1993 :
« 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,

In order to have an idea of what robustness means, here are some case used to test RoadNex :
RoadNex01
RoadNex02

RoadNex04
RoadNex05
RoadNex06
RoadNex08
RoadNex07
RoadNex09
RoadNex10

How many kilometers should you drive to sample those few road scenes variations ?

For more information : https://nexyad.net/Automotive-Transportation/?page_id=412

Nexyad RoadNex v2.2 – Road Detection on Foggy Highway

Nexyad RoadNex v2.2 – Road Detection on Foggy Highway
RoadNex detecting the lane and the surface of the road even when it’s Fuggy.

Paper acceptation for Autonomous Vehicle Test & Development Symposium 2016

Gérard Yahiaoui will present for NEXYAD a paper about Validation of ADAS at the next Autonomous Vehicle Test & Development Symposium 31 may – 2 June 2016 in Stuttgart, Germany.
Save the dates and come to visit the Nexyad booth at the Stuttgart Messe.
Autonomous Vehicle Symposium
http://www.autonomousvehiclesymposium.com/

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.

Étiquette : autonomous car