Category Archive: Newsletter

May
09

ADAS & Connected Cars
The future on the road

NEXYAD Automotive & Transportation Newsletter #9, May the 9th, 2016



Headlines :

– Connected Car Insurance Europe Symposium in London

– Robustness of RoadNex v2.3

– Future Presence of Nexyad on Congresses & Exhibitions (ADAS, Connected Cars & Autonomous Vehicles)



Connected Car Insurance Europe Symposium in London

This year NEXYAD has participated to Connected Car Insurance Europe 2016 Congress at London the 12th and 13th april.
NEXYAD shared the booth 17 with the french company INTEMPORA creator of the famous Framework RT-MAPS to present SafetyNex. MOV’EO and cluster “Groupement ADAS” helped to sponsorize this venue.

HERE
HERE is a leader in mapping and location technology backed by a consortium of leading automotive brands. With highly precise, industrial grade maps and a robust and flexible platform of location services we help governments around the world and businesses across industries, from fleet management to retail, analyze and optimize their operations and better manage their assets with location intelligence. To learn more about our solutions for enterprise, visit here.com/enterprise

QUECLINK
Having shipped more than 1 million telematics units to leading service providers, Queclink is now one of the world’s largest suppliers of Fleet, UBI and M2M hardware. Established in 2009, we provide international design and manufacturing quality with the economics of Chinese high volume supply chains. Headquartered in Shanghai, our global management team with deep industry and technical skills can provide both standard and bespoke products for automotive, fleet, asset and personnel tracking as well as hardware designed specifically to meet the needs of the insurance market as it transitions to telematics based policies.
http://www.queclink.com/

SCOPE TELEMATICS
As a true global end-to-end telematics solution for insurance companies, car manufacturers and consumers, Scope Technology solutions includes hardware, an advanced actuarial platform, claims management support and actuarial support services. It is the only comprehensive insurance telematics solution available on the market with more than 35 usage-based insurance (UBI) projects spanning across Europe, Asia, Africa and the Americas.
Our UBI products enable insurers to better manage client risk and encourage safer driving. Globally patented Advanced Pattern Recognition self-calibrates for highly accurate exception reporting related to driver abuse, and state-of-the-art Whiplash probability index.
Scope Technology, multi-awarded insurance telematics solutions are competitively priced, reliable, and designed for claims management support and fraud detection, Pay as you Drive plans, UBI and vehicle recovery, while meeting various industry requirement since 1999.
www.scopetechnology.com

Connected Car Insurance
Telematic met Insurance in London

WUNELLI
RELX Group is a world‐leading provider of information and analytics for professional and business customers across industries. The group serves customers in more than 180 countries and has offices in about 40 countries. It employs approximately 30,000 people of whom half are in North America. RELX PLC is a London listed holding company which owns 52.9% of RELX Group. RELX NV is an Amsterdam listed holding company which owns 47.1% of RELX Group. The shares are traded on the London, Amsterdam and New York Stock Exchanges using the following ticker symbols: London: REL; Amsterdam: REN; New York: RELX and RENX.
http://www.wunelli.com/default.aspx

HUBIO
Hubio provides integrated solutions to help organizations in the insurance and automotive sectors increase efficiency, reduce claims, build customer engagement and enable usage-based personalization.
Through the innovative use of telematics, UBI, mobile, gamification and enterprise technologies, Hubio is bringing new levels of data-driven insights to the insurance and automotive industries, while challenging and redefining established business models.
Hubio was formed to be a best-in-class solutions provider, bringing together several industry-leading technology and service businesses. As one organization, we are uniquely placed to deliver and support true end-to-end solutions.
For more information visit www.hubio.com

MSG Global Solutions
Working in balance with our customers and industry partners, msg global delivers solutions and services to help our customers achieve operational efficiency, meet regulatory standards and realize digital excellence. We bring expertise, a customer-centric philosophy, and a focus on innovation to everything we do.
We help insurers globally collect, manage and leverage data in the new IoT landscape. The Telematics Analyzer is the centerpiece of our IoT offering. We also offer a mobile application for usage-based insurance which is certified by a world-leading software provider.
http://www.msg-global.com/

INFOWARE
infoware is a specialist for map enabled technologies such as driver analysis, routing, geocoding and navigation. infoware’s APIs enable pay as you drive tariffs by analysing a driver’s driving style based on map and traffic data.
Infowares business is to deliver consultant services and contract services as well as products, based on platforms from IBM and Open Source. We are IBM premier Business Partners and have been working with IBM and Lotus technology since 1995. We address organizations with large production environments in need of services and products with high quality and security.
http://www.infoware.eu/

CalAmp
CalAmp (NASDAQ: CAMP) is a proven leader in providing wireless communications solutions to a broad array of vertical market applications and customers. CalAmp’s extensive portfolio of intelligent communications devices, robust and scalable cloud service platform, and targeted software applications streamline otherwise complex machine-to-machine (M2M) deployments. These solutions enable customers to optimize their operations by collecting, monitoring and efficiently reporting business critical data and desired intelligence from high-value remote assets.
http://www.calamp.com/

REDTAIL TELEMATICS
Redtail Telematics is a global leader in the design, manufacture and distribution of quality customised telematics products. Redtail’s systems have recorded over a billion miles worth of data and Redtail’s design and manufacturing teams have delivered over 5.5 million devices into the automotive aftermarket worldwide. Redtail is a full service TSP into the UBI and fleet markets, including devices, airtime, datawarehousing and analytics including crash notification and reconstruction and advanced scoring. Redtail notably supplies Ingenie and Admiral Group among others. Founded in 2010, Redtail is a sister company of Plextek, the award winning communications technology design house founded in 1989.
http://www.redtailtelematics.com/en-us/company/

Connected Car Insurance London 2016
Some booths : TrackM8, CalAmp, Vodafone Automtive and Nexyad

VODAFONE AUTOMOTIVE
Vodafone Automotive is a leading provider of automotive products and services – which include InCar Telematics, Stolen Vehicle Tracking and Usage Based Insurance solutions – for vehicle manufacturers, insurance companies and fleets.​
When it comes to the connected car, we offer the end to end solution by developing and fully managing:
• The onboard telematics unit
• The GDSP SIM connectivity over the Vodafone network
• The telematics infrastructure
• The network of National Service Providers (NSPs) and Secure Operating Centres (SOCs) across 49 countries globally.
Vodafone Automotive is part of Vodafone’s M2M business unit which connects devices such as cars to the internet.
http://www.cobra-group.com/

DANLAW
Danlaw is a recognized leader in automotive electronics and engineering solutions for OEM’s, Tier 1 suppliers, and automotive and fleet insurance companies worldwide since 1984. Danlaw’s specialty areas include embedded systems development and testing for Embedded Control Units (ECUs), vehicle network communications, infotainment testing, connected car solutions, and V2X certification services.
Danlaw is headquartered in Novi, MI, with offices in India and China. www.danlawinc.com

TRACKM8
Trakm8 is a UK-based big data company which uses innovative telematics as their primary enabler. The brand collect over two billion miles worth of data every year and create fine-tuned algorithms to track vehicles, score driver behaviour and provide FNOL in order for insurers to make informed decisions with regards to premium renewal and to assist in offering enhanced customer propositions.
The Group supplies telematics hardware, dash cams and other comprehensive fulfilment packages to a range of industries. Trakm8’s partners include well-known brands in the insurance sector such as Direct Line, Churchill and Young Marmalade.
http://www.trakm8.com/

SafetyNex Presentation
Gerard Yahiaoui present SafetyNex to the Congressmen


NEXYAD
Beside his products of Artificial Vision for ADAS and Autonomous Vehicle, Nexyad has been developing since 2001 Onboard Risk Assessment algorithms and propose a unique tool that really measures Risk of Accident : SafetyNex. SafetyNex was scientifically validated through french national research programs and by scientific papers from 11 european countries, it was proven by a campaign of 50 millions km by 500 cars running for 3 years; it is fast and easy to use because SafetyNex gives an immediate result of risk taken by user. The risk is directly computed by the microprocessor of smartphone. Risk assessment histogram and every usage data histograms are sent to the customer : it is not big data, it is “small data”. The benefit of this appoach compared to all the other competitors that compute scores in the cloud are :
– small data upload doesn’t consume too much of the driver’s phone bundle
– the definition of risk used in SafetyNex fits into actuaries expectations
– no need to wait for accident to know that driver is risky
– because it’s real time, SafetyNex allows prevention (alarm to the driver before risky situation); this alarm statisticaly reduces number of accident and speed during unavoidable accident (then reduces lost cost)

SafetyNex runs in smartphones, in devices on demand and there is a Studio version on RT-Maps for PCs.
http://nexyad.net/Automotive-Transportation/?page_id=441



Robustness of Road Detection by RoadNex v3.2

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



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

Nexyad at Active Safety Europe 2016 : ADAS to Autonomous

Actice Safety Europe 2016

Come to visit Nexyad the 17th & 18th may in Munich, Germany, for the Congress & Exhibition Active Safety Europe 2016 : ADAS to Autonomous.
Nexyad will be present with Intempora firm, provider of famous real time framework RT-Maps, Don’t miss the 18th : Software “Embeddibility”, Speaker Nicolas Dulac, CEO, Intempora.
Nexyad and Intempora are members of french cluster Groupement ADAS sponsored by MOVEO.


Nexyad at Autonomous Car Test & Development

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.


Mar
24

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.

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.


Senator Claude Nougein
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 !

Feb
05

NEXYAD Products :
Spreading the World

NEXYAD Automotive & Transportation Newsletter #7, February the 4th, 2016



Summary :

– French National Projects : Initiative PME (ADEME) – Safety/Risk of Accident

– 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



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 : http://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 »)
.


SafetyNex



Visibility Measurement :Release v2.0 of VisiNex Onboard

NEXYAD VisiNex Onboard v2.0 is now available on RT-Maps Framework (by Intempora).
It comes with local Visual Quality Score (VQS) figured by colors :
Green is high, orange is medium, red is low.
See Demo film below on foggy weather condition :





Applications :
Distance of visibility measurement, adaptive detection algorithms depending on visibility conditions, rain detection, fog detection, camera based ADAS reliability estimation, “your intelligent ADAS system”.


Technical information about VisiNex measurement : Distance of Detection and Visual Quality Score (VQS)

VisiNex Onboard computes a distance of detection (in meters) and the VQS number which represents the easiness of objects detection and image understanding.

Calculation is processed using two multidimensional functions :

– the MTF function : Modulation Transfert Function that gives the contrast (contrats of Michelson) of the scene among frequency (also called the Spatial Frequency Response).
The MTF function is measured by VisiNex, with a very high signal/noise ratio.

– the CSF function : that gives sensitivity of human vision to contrast among frequency
(NB : this CSF function is also a function of background luminance, ambiant lightning, and may also be different for categories of persons : children, « regular » adult, old people, trained people such as military fighter pilots, etc …). The CSF function was measured by searchers thats validated it from the observation of thousands of people (a representative panel). The most famous version is the NGAN model. NEXYAD is involved for many years in military applications and could develop and validate a very accurate CSF that takes into account many parameters (such as ambiant light, background, …).

A mathematical comparison of those two functions lets VisiNex Onboard compute :
– a distance of detection, recognition, and identification, applying the Johnson criteria
– the VQS number which is the quantity of MTF that is actually helpfull for human vision.
So in the end, we can say that VisiNex Onboard outputs are the results on deterministic computing on contrast measurement.

References :
http://www.normankoren.com/Tutorials/MTF.html (MTF and CSF)
http://research.ijcaonline.org/volume40/number2/pxc3877165.pdf (CSF NGAN)
http://www.precision-vision.com/index.cfm/feature/12/d–contrast-sensitivity.cfm (Michelson contrats)
http://www.dtic.mil/cgi-bin/GetTRDoc?AD=ADA456742 (Johnson criteria)


VisiNex also computes image distortion and can display a distortion map.
High level of distortion lead to images that are hard to understand and that is a cause of bad road safety (as a lack of visibility is).


* * * * *

NEXYAD proposes VisiNex Lab since 2001 : a visibility measurement bench as an industrial system that you can install and uninstall very quickly.
VisiNex Lab system installs easily in an industrial laboratory, or a production line for quality control, and is in compliance with all industry standards that apply to this type of equipment. NEXYAD has developed rigorous calibration procedures for VisiNex™ to ensure the repeatability after assembly, disassembly, reassembly.




* * * * *

Risk & Safety Estimation in Driving : SafetyNex Software Module

SafetyNex now working on a lean Linux electronic device (of a tier one company) for insurance companies and the SEMACOR project will help us to accelerate deployment on smartphones too :




* * * * *

Nexyad Expertise about Autonomous Vehicle :
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).

Toulouse



* * * * *

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

Difficult to miss NEXYAD in 2016. The french High-Tech company for ADAS, Autonomous Vehicle & Connected Car will be where it’s important to be to present his work and his products :

Connected Car Insurance Europe 2016
Tues 12th – Wed 13th April • Tower Bridge Hotel, London
Actualise Connected Data Sets to Create Innovative Motor Insurance Products
Nexyad will present SafetyNex at the conference and on his booth.
http://www.tu-auto.com/connectedcar-insurance-eu/

Active Safety Europe 2016: ADAS to Autonomous
May 17-18, 2016 • Munich
Enabling The Next Phase in Auto Safety Through The Development of ADAS
Gérard Yahiaoui, Nexyad CEO part of the 40 speakers.
http://www.tu-auto.com/activesafety-europe/

Autonomous Vehicle Test & Development Symposium 2016
May 31 to June 2 • Stuttgart
The world’s only conference dedicated to the testing and development procedures for autonomous vehicles and advanced driver assistance systems.
http://www.autonomousvehiclesymposium.com/

Connected Conference Paris
May 25-27, 2016 • Paris
Where Industry & Internet Meet
http://connectedconference.co/

CESA 4.0 – Automotive Electronics
16 & 17 November 2016 • Paris
Today’s automotive electronics & future trends and technologies.
Gérard Yahiaoui, Nexyad CEO part of Commitees
http://www.sia.fr/evenements/43-cesa-4-0-automotive-electronics?lng=fr

Save the dates, everybody is invited to come visiting NEXYAD…



* * * * *

Nexyad New Customers :Focus on VeDeCoM

The VEDECOM Institute is one of the Institutes for the Energy Transition created within the Investment Plan for the Future of the French government. VEDECOM stands for carbon-free, communicating vehicle and its mobility. It is supported by the French competitiveness cluster Mov’eo and by several local communities around Paris
Vedecom

The objective of VEDECOM is to become an institute for mutual and co-located research on electric, autonomous and connected vehicles, and on the mobility eco-system built on infrastructures and services addressing new usages of shared mobility and energy.

VeDeCoM has presented his Autonomous Vehicle at ITS Bordeaux in november 2015. Nexyad made a short video :

To know more : http://vedecom.fr/en/

The NEXYAD team is proud to announce that The VeDeCoM Institute bought user licences,
under RT-Maps Framework, of our
Road Detection software module RoadNex and Obstacle Detection ObstaNex.


Nov
16

SafetyNex World Premiere Road Safety App

NEXYAD Automotive & Transportation Newsletter #6, the 13th of november 2015



Summary :

– SafetyNex & EcoGyzer : the Driver Behaviour Signature

– Nexyad ADAS Validation Database still in progress

– ProgressRoadNex v2.2 Robustness demonstration

– Nexyad in Media

SafetyNex & EcoGyzer : the Driver Behaviour Signature

SafetyNex is a Nexyad Module for ADAS that estimates the risk (or safety) in driving 100% correlated with accidentology. It is unique and disruptive in the whole world of Road Safety.
Recently, EcoGyzer a tool by the french company Nomadic Solutions, has been integrated to SafetyNex to estimate the Eco driving.
Now we are proud to announce that SafetyNex & EcoGyzer as a world premiere App estimating the Driver Behaviour Signature. To figure the Driver Behavour Signature, we imagined a special mapping as you’ll see on the demo films.
Every second in driving, one point is plotted on the mapping. The more right a point is, the more Eco is the driving; the more up, the more safe it is. At the end of the path, there is a cloud of points called the Driver Behaviour Signature.
In the following demo films, we show four different driving behaviour signatures for the same path :


The Good Driver



The Bad Driver



The Quiet-Dangerous Driver



The Sportive-Safe Driver


Comparison of the four Driver Behaviour Signatures



* * * * *

Nexyad ADAS Validation Database still in Progress

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

* * * * *


RoadNex v2.2 Robustness

On a new release v2.2 of RoadNex, we’ve added an arrow that shows the direction to be followed by the vehicle according to our road detection always defined by the edges of the rollable track and the surface of the rollable track. New tests were performed on videos of different types of roads, including tracks in the desert or lit roads by car lights at night.
These examples demonstrate the robustness of our module software that is more and more a reel competitor of lanes Detection System developed by Mobileye.

See some demos below or click on images.




To see all the demo films about RoadNex, go to the Nexyad Channel in YouTube :
https://www.youtube.com/channel/UC9eYKvsuJMepuc42nM16f1A

RoadNex 10 different roads

* * * * *


NEXYAD Automotive & Transportation in Media

Article CCFA
http://nexyad.net/Automotive-Transportation/wp-content/uploads/2015/10/Article-CCFA.pngArticle Cl'eo
To read more :
http://nexyad.net/Automotive-Transportation/wp-content/uploads/2015/10/Article-Cleo.png

Article ACBB
To read more :
http://www.automobile-club-64.info/le-smartphone-pour-plus-de-securite-au-volant/

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
08

Validation Database New
Road Detection & Road Safety
NEXYAD tools for ADAS

NEXYAD Automotive & Transportation Newsletter #4, the 7th of September 2015



Validation database for camera-based ADAS

The company NEXYAD started building a database for validation of advanced driver assistance systems (ADAS and Autonomous car) using the methodology AGENDA published in the 90 by Gérard Yahiaoui (methodology initially developped for control construction of learning and test databases for the implementation of artificial neural networks).
This database has two essential characteristics:

1) Known life situations
Indeed, the methodology AGENDA proposes to describe potential changes of signals and images came into factors of variability and their crosses.
Example, for obstacle detection :
   . weather (dry overcast, sunny weather, rain, fog)
   . overall brightness (low, medium, high)
   . speed of the carrier vehicle (low, moderate, high)
   . type of road (highway, road with marking, road without marking …)
   . coating (bitumen 1, bitumen 2, …, cobblestones)
   . day / night (headlights and the lights switched infrastructure)
   . season (spring, summer, autumn, winter)
   . etc …

      > type of obstacle :
           – stopped
                      . infrastructure-related: work terminals, tolls, …
                      . related users: tire on the road, parcel felt from a truck lying on the road, biker following a road                       accident, disabled vehicle stopped on the floor, standing pedestrian on roadside edge (dodger /                       no sniper)
           – moving
                      . truck, car, vulnerable (pedestrian, bicycle, motorcycle) each with types trajectories (longitudinal
                      in rolling direction, longitudinally in the opposite direction of rolling side) and position (opposite
                      to right, left).
                      . Etc…

We see that if we cross these factors, we find fairly quickly a huge number of cases. However, the development of ADAS systems is complex, and it is necessary to proceed by successive iterations, starting from simple situations to move to complicated situations.
Our database allows this, since all records are described in terms of crossing the terms of the factors of variability. Thus knows exactly which cases were tested or not by the system.
Formalism ‘crossing of variability factors of the terms’ allows using design of experiments, and in particular orthogonal fractional plans to sharply reduce the number of cases to be tested while ensuring maximum coverage of life situations. One can in this context to develop a fractional ADAS on an orthogonal plan and test other hard fractional orthogonal planes for example.

2) Reality reference
This is to crop images barriers and infrastructure elements (markings, roadsides, etc.) so as to constitute a reference to measure system performance.

. Examples of life situations:
Life Situations


1.1, summer, overcast, unmarked road, moderate speed tire on the floor, dry weather
1.2, summer, overcast, unmarked road, moderate speed, parcels on the floor, dry weather
2.1, summer, overcast , unmarked road, moderate speed, standing pedestrians non ambush at the edges of the floor, dry weather
2.2, summer, overcast, unmarked road, moderate speed, lying on the floor human, dry weather
etc …

Not sure that you would meet those few cases, even with on million kilometers on open roads.



Our Goal

NEXYAD starts his collection of images and data:
      . video (towards the front of the vehicle) Color
      . accelerometers
      . gyros

The files are synchronized by RT-MAPS tool INTEMPORA society.
The files are saved as RT-MAPS format and replayable directly by this tool.

NEXYAD currently looking for contributors on this internal project. Co contributors fund and in return free access to the database, unlimited in time. This contribution will accelerate the work of collecting and labeling.
NEXYAD wishes to provide this basis before June 2016, free way to give the material to the community and the ADAS autonomous vehicle for a smaller version of the database, and pay way (as subscriptions) for complete database.
NEXYAD’s ambition is to spread its methodological expertise and allow everyone to assess the performance of vision systems for ADAS, whether systems developed by NEXYAD, or others.

References
“Methodology for ADAS Validation: Potential Contribution of Other Scientific Fields Which Have Already Answered the Same Questions”, Gérard Yahiaoui, Pierre Da Silva Dias, CESA congress Dec 2014, Paris, proc. Springer Verlag
“Methods and tools for ADAS validation”, Gérard Yahiaoui, Nicolas du Lac, Safetyweek congress, May 2015, Aschaffenburg


Contact
For questions, or if you wish to become a contributor, please contact NEXYAD : +33 139041360


*****



Road detection for ADAS and autonomous vehicle :
NEXYAD module RoadNex V2.1

A useful complement to markings detection

The detection of the road is a key element of driver assistance systems (ADAS) and autonomous vehicles.
Indeed, objects, obstacles, other road users, must be detected but also positioned relatively to the road.
The detection of the entire route, that is to say not only its markings or edges, but all the way, should enable
embedded intelligence to select appropriate action.

The company NEXYAD has been working on this issue for over 20 years without interruption, and has accumulated a large number of cases of road types, of coatings, in various atmospheric conditions.
This is to detect the rollable area on the road, without regard to, in a first step, lane markings.
Indeed, in Europe, there are many unmarked roads, and work on a marked road may change the markings and
make a « follow the markings strategy » dangerous.

In the images below you can see on the left a typical French countryside road with no markings, and on the right image, new markings was achieved while former markings still strongly visible.
Road without MarkingRoad with old and new Markings

These cases are quite common on our European roads and a driver assistance system, or a driving delegation
system, must at least understand such cases and if necessary tell the driver to cope with it by himself.

The NEXYAD road detection module, RoadNex V2.1 is a brick to go further to cope with these cases :
RoadNex V2.1

RoadNex V2.1 should be coupled with road signs detection, road markings detection, obstacle detection, in order to build an intelligent perception system. RoadNex is then a key module of such a system.

The road detection module NEXYAD, RoadNex V2.1 is available as a component into the asynchronous real time framework RT-MAPS : See HERE


*****



Road Safety for ADAS and autonomous vehicle :
NEXYAD module SafetyNex running as real-time component
of Framework RT-Maps

SafetyNex (safety level estimation for ADAS)
SafetyNex Onboard is a high level functional bloc (software) of safety measurement, taking into account map and GPS geolocation (shape of the road, crossing roads, … ahead), speed, accelerations, visibility, adherence, distance to obstacle, etc.
SafetyNex measures adaptation of the driving style to infrastructure topology, and possibly Dangerous situations.
Two main applications :
_ Car industry : intelligent Navigation system providing valuable advices to keep the car in a good level of safety; sending alarms on dangers
_ Insurance : driving style measurment correlated with accidentology (insurance pricing, Pay How You Drive)

SafetyNex is now running in RT-Maps by IMTEMPORA
SafetyNex is under fusion with Ecogyzer (eco driving rating system) : this “package” will be the ultimate tool for eco and safe driving combination.

SafetyNex V2.1
SafetyNex v2.1

Aug
25

Validation database for camera-based ADAS

Version française plus bas

NEXYAD Automotive & Transportation Newsletter #4, the 26th of August 2015



Validation database for camera-based ADAS

The company NEXYAD started building a database for validation of advanced driver assistance systems (ADAS and Autonomous car) using the methodology AGENDA published in the 90 by Gérard Yahiaoui (methodology initially developped for control construction of learning and test databases for the implementation of artificial neural networks).
This database has two essential characteristics:

1) Known life situations
Indeed, the methodology AGENDA proposes to describe potential changes of signals and images came into factors of variability and their crosses.
Example, for obstacle detection :
   . weather (dry overcast, sunny weather, rain, fog)
   . overall brightness (low, medium, high)
   . speed of the carrier vehicle (low, moderate, high)
   . type of road (highway, road with marking, road without marking …)
   . coating (bitumen 1, bitumen 2, …, cobblestones)
   . day / night (headlights and the lights switched infrastructure)
   . season (spring, summer, autumn, winter)
   . etc …

      > type of obstacle :
           – stopped
                      . infrastructure-related: work terminals, tolls, …
                      . related users: tire on the road, parcel felt from a truck lying on the road, biker following a road                       accident, disabled vehicle stopped on the floor, standing pedestrian on roadside edge (dodger /                       no sniper)
           – moving
                      . truck, car, vulnerable (pedestrian, bicycle, motorcycle) each with types trajectories (longitudinal
                      in rolling direction, longitudinally in the opposite direction of rolling side) and position (opposite
                      to right, left).
                      . Etc…

We see that if we cross these factors, we find fairly quickly a huge number of cases. However, the development of ADAS systems is complex, and it is necessary to proceed by successive iterations, starting from simple situations to move to complicated situations.
Our database allows this, since all records are described in terms of crossing the terms of the factors of variability. Thus knows exactly which cases were tested or not by the system.
Formalism ‘crossing of variability factors of the terms’ allows using design of experiments, and in particular orthogonal fractional plans to sharply reduce the number of cases to be tested while ensuring maximum coverage of life situations. One can in this context to develop a fractional ADAS on an orthogonal plan and test other hard fractional orthogonal planes for example.

2) Reality reference
This is to crop images barriers and infrastructure elements (markings, roadsides, etc.) so as to constitute a reference to measure system performance.

. Examples of life situations:
Life Situations


1.1, summer, overcast, unmarked road, moderate speed tire on the floor, dry weather
1.2, summer, overcast, unmarked road, moderate speed, parcels on the floor, dry weather
2.1, summer, overcast , unmarked road, moderate speed, standing pedestrians non ambush at the edges of the floor, dry weather
2.2, summer, overcast, unmarked road, moderate speed, lying on the floor human, dry weather
etc …

Not sure that you would meet those few cases, even with on million kilometers on open roads.



Our Goal

NEXYAD starts his collection of images and data:
      . video (towards the front of the vehicle) Color
      . accelerometers
      . gyros

The files are synchronized by RT-MAPS tool INTEMPORA society.
The files are saved as RT-MAPS format and replayable directly by this tool.

NEXYAD currently looking for contributors on this internal project. Co contributors fund and in return free access to the database, unlimited in time. This contribution will accelerate the work of collecting and labeling.
NEXYAD wishes to provide this basis before June 2016, free way to give the material to the community and the ADAS autonomous vehicle for a smaller version of the database, and pay way (as subscriptions) for complete database.
NEXYAD’s ambition is to spread its methodological expertise and allow everyone to assess the performance of vision systems for ADAS, whether systems developed by NEXYAD, or others.

References
“Methodology for ADAS Validation: Potential Contribution of Other Scientific Fields Which Have Already Answered the Same Questions”, Gérard Yahiaoui, Pierre Da Silva Dias, CESA congress Dec 2014, Paris, proc. Springer Verlag
“Methods and tools for ADAS validation”, Gérard Yahiaoui, Nicolas du Lac, Safetyweek congress, May 2015, Aschaffenburg


Contact
For questions, or if you wish to become a contributor, please contact NEXYAD : +33 139041360

Aug
24

Base de données de validation des ADAS utilisant des caméras

NEXYAD Automotive & Transportation Newsletter n°4, le 24 août 2015



Base de données de validation des ADAS utilisant des caméras

La société NEXYAD démarre actuellement la construction d’une base de données pour la validation des systèmes d’aides à la conduite et de délégation de conduite (ADAS et Autonomous car) en utilisant la méthodologie AGENDA publiée dans les années 90 par Gérard Yahiaoui (méthodologie au départ destinée à maîtriser entre autre la construction des bases de données d’apprentissage et des tests pour la mise en œuvre des réseaux de neurones).
Cette base de données a deux caractéristiques essentielles :

1) Situations de vie
En effet, la méthodologie AGENDA préconise de décrire les variations possibles des signaux et images d’entrées en facteurs de la variabilité et leurs croisements.
Exemple, pour de la détection d’obstacles :
   . météo (temps sec couvert, temps ensoleillé, pluie, brouillard)
   . luminosité globale (faible, moyenne, forte)
   . vitesse du véhicule porteur (faible, modérée, grande)
   . type de route (autoroute, route avec marquage, route sans marquage, …)
   . revêtement (bitume 1, bitume 2, …, pavés)
   . jour / nuit (phares et éclairages de l’infrastructure allumés)
   . saison (printemps, été, automne, hiver)
   . etc …

      > type d’obstacle :
           – arrêté
                      . liés à l’infrastructure : bornes de travaux, péages, …
                      . liés aux usagers : pneu sur la chaussée, colis tombé d’un camion, motard allongé sur la
                      route suite à un accident, véhicule en panne arrêté sur la chaussée, piéton immobile sur le
                      bord de la chaussée (embusqué / non embusqué)
           – en mouvement
                      . camion, voiture, vulnérable (piéton, vélo, moto) avec à chaque fois les trajectoires types                       (longitudinale dans le sens de roulage, longitudinale dans le sens inverse du roulage, latérale)                       et la position (en face, à froite, à gauche).
                      . Etc…

On constate que si l’on croise ces facteurs, on trouve assez rapidement un nombre de cas énorme. Or, la mise au point des systèmes ADAS est complexe, et il est nécessaire de procéder par itérations successives, en partant de situations simples pour aller vers les situations compliquées.
Notre base de données permet cela, puisque tous les enregistrements sont décrits en termes de croisements des modalités des facteurs de la variabilité. On sait ainsi exactement dans quels cas on a testé ou pas le système.
Le formalisme de ‘croisement des modalités des facteurs de variabilité’ permet d’utiliser les plans d’expériences, et en particulier les plans fractionnaires orthogonaux pour réduire fortement le nombre de cas à tester tout en garantissant une couverture maximale des situations de vie. On peut dans ce cadre mettre au point un ADAS sur un plan fractionnaire orthogonal et le tester dur d’autres plans fractionnaires orthogonaux par exemple.

2) Réalité terrain
Il s’agit de détourer sur les images les obstacles et éléments de l’infrastructure (marquages, bords de route, etc) de manière à constituer une référence permettant de mesure la performance du système.

. Exemple de situations de vie :
Life Situations


1.1, été, temps couvert, route sans marquage, vitesse modérée, pneu sur la chaussée, temps sec
1.2, été, temps couvert, route sans marquage, vitesse modérée, colis sur la chaussée, temps sec
2.1, été, temps couvert, route sans marquage, vitesse modérée, piétons immobiles non embusqués au bords de la chaussée, temps
2.2, été, temps couvert, route sans marquage, vitesse modérée, humain allongé sur la chaussée, temps sec
etc …

Il n’est pas certain que l’on puisse rencontrer ces quelques cas, même en roulant 1 million de km sur route ouverte !



Objectif

NEXYAD démarre son recueil d’images et de données :
      . vidéo (vers l’avant du véhicule) couleur
      . accéléromètres
      . gyromètres

Les fichiers sont synchronisés par l’outil RT-MAPS de la société INTEMPORA. INTEMPORA.
Les fichiers sont enregistrés au format RT-MAPS et directement rejouables par cet outil.

NEXYAD cherche actuellement des contributeurs sur ce projet interne. Les contributeurs co financent et ont en retour un accès gratuit à la base de données, illimité dans le temps. Cette contribution permettra d’accélérer le travail de recueil et d’étiquetage.
NEXYAD souhaite mettre à disposition cette base avant Juin 2016, de manière gratuite pour donner de la matière à la communauté des ADAS et du véhicule autonome, pour une version réduite de la base, et de manière payante (sous forme d’abonnements) pour la base complète.
L’ambition de NEXYAD est de propager son expertise méthodologique et de permettre à chacun d’évaluer les performances des systèmes de vision pour les ADAS, qu’il s’agisse des systèmes développés par NEXYAD, ou d’autres.

Références
“Methodology for ADAS Validation: Potential Contribution of Other Scientific Fields Which Have Already Answered the Same Questions”, Gérard Yahiaoui, Pierre Da Silva Dias, CESA congress Dec 2014, Paris, proc. Springer Verlag
“Methods and tools for ADAS validation”, Gérard Yahiaoui, Nicolas du Lac, Safetyweek congress, May 2015, Aschaffenburg


Contact
Pour toute question ou pour devenir un contributeur, contactez NEXYAD : +33 139041360

Jun
18

Road Detection & Road Safety Estimation – NEXYAD Automotive & Transportation Newsletter #3

Road Safety and ADAS – NEXYAD Automotive & Transportation Newsletter #3

Jun
12

Road Safety and ADAS – NEXYAD Automotive & Transportation Newsletter #2

Road Safety and ADAS – NEXYAD Automotive & Transportation Newsletter #2

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