Category Archive: Papers

Aug
30

Modification profonde du métier de l’assurance auto
Nexyad Livre Blanc n°3

Modification profonde du métier de l’assurance auto.
Apport de l’App smartphone SafetyNex dans ce contexte global.

Par NEXYAD
Sept 2016

English translation

1 – Rôle de l’assureur

L’idée d’assurance serait apparue à l’occasion des premiers grands voyages maritimes, et l’apparition
« moderne » de l’assurance est généralement datée du 19ème siècle.
Le principe de l’assurance est le suivant : si les accidents sont rares (comparativement au nombre
d’occurrences : de voyages, de trajets automobile, etc.), une idée simple et prudente consiste alors à « mettre de côté » une certaine somme pour chaque occurrence (qui en moyenne ne conduit pas à un accident) de manière à utiliser cette somme pour rembourser le coût du sinistre en cas (rare) d’accident.
On pourrait imaginer que les particuliers gèrent eux-mêmes chacun une « cagnotte » de ce type. Bien sûr, même si un accident est rare, on ne sait jamais quand il arrive et il se peut qu’il arrive au tout début du processus si bien que la cagnotte est presque vide.
On peut alors facilement faire une cagnotte commune entre plusieurs personnes, pour lisser ce problème : si trois personnes font une cagnotte commune, il est peu probable que les trois
aient un accident au tout départ de la thésaurisation. Mais … c’est quand-même possible. On conçoit bien que si l’on construit la cagnotte avec plusieurs centaines de milliers de personnes, là
on a sécurisé le problème du « moment » de l’accident. C’est la loi des grands nombres qui permet d’utiliser une modélisation déterministe du hasard : les probabilités. Reste à définir le montant de la somme à mettre de côté, chaque mois par exemple (ou à chaque trajet).

Lire le livre blanc ici

Aug
25

L’accident mortel en Tesla aurait peut-être pu être évité

L’accident mortel en TESLA aurait peut-être pu être évité grâce à des modules logiciels de NEXYAD

English translation

par NEXYAD, août 2016

Les passions se déchaînent autour de la question des véhicules autonomes, ou semi-autonomes. Récemment, une personne a perdu la vie dans son véhicule TESLA alors qu’il était en mode auto-pilote.
NEXYAD a étudié la sécurité routière pendant une vingtaine d’année, et nous donnons quelques éléments de réflexion sur ce type d’accident.

Les chaînes de traitement de l’information des systèmes auto-pilote, driverless, etc… allant de la perception de l’environnement jusqu’à la prise de décision et à la gestion automatique des actionneurs, sont généralement très bien conçues, et mettent en œuvre des modules performants. Mais cela ne suffit pas à rendre nul le risque d’accident. En effet, pour traiter ce risque, il manque une chaîne parallèle (et indépendante) de « monitoring ».
C’est pour bien comprendre cette nécessité, il faut tout d’abord appréhender le niveau de complexité d’une scène routière vue par une caméra.

Le livre blanc à lire ici

Aug
16

Accident fatalities in a TESLA car

Accident fatalities in a TESLA car might have been avoided by using software modules of NEXYAD :
the time for monitoring circuit has come.

Version française

By NEXYAD

Processing circuit, informing auto-pilot systems, control, etc … from perception, data fusion, decision-making, and automatic control of actuators, are usually very well designed, and based on high-performance modules. But unfortunately, this is not enough to void the risk of accidents. Indeed, for the treatment of this risk, it lacks a parallel circuit (parallel and independent) called “monitoring” circuit.
To understand this need for a monitoring circuit, one must first understand the level of complexity of a road scene viewed from a camera.

The variability of road scenes is actually much more than what a normal person comes to imagine. Indeed, a color image, which has eight bits for each colors (then, 24-bit, as there are 3 colors) may encode 224 different color levels per pixel (more than 65,000 different possible values). HD video has more than 2 million pixels.
This means that the matrix of HD 8-bit color image may encode more than 65 0002 000 000 images !
This huge number is simply unimaginable.

Read the entire paper

Accidented Tesla
http://www.nextinpact.com/news/100804-accident-mortel-tesla-model-s-roulait-trop-vite-enquete-se-poursuit.htm

Jul
15

Vehicle Telematics, measurement of risk in driving,
respect of individual privacy

“Vehicle Telematics, measurement of risk in driving, respect of individual privacy” is the new white paper from Nexyad, which explains important points to check on a vehicle telematics application to assess the risk taken by the driver about his driving task.

Version française

The calculation of risk requires having contextualized data that are inherently confidential, personal, and therefore which must in no case be recorded on computer servers in a cloud as they contain, directly or indirectly, information about offenses (in France it is forbidden: by respect of the criminal code and rules CNIL).

Onboard-measurement-of-risk-of-accident-with-SafetyNet-real-time-risk-assessment.pdf

Jul
01

Télématique auto, mesure du risque de conduite,
respect des libertés individuelles

“Télématique auto, mesure du risque de conduite, respect des libertés individuelles” est le nouveau white paper de Nexyad, qui explique quelles sont les points importants à vérifier sur une application de télématique embarquée destinée à évaluer le risque que prend le conducteur pendant sa tâche de conduite.

English translation

Le calcul du risque nécessite de disposer de données contextualisées qui sont intrinsèquement confidentielles, personnelles, et donc qui ne doivent en aucun cas être enregistrées sur des serveurs informatiques dans un cloud car elles contiennent, directement ou indirectement, des informations sur des infractions (en France c’est interdit : respect du code pénal et des règles CNIL).

Lien vers le white paper

Mar
29

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

Version française

. 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

Feb
17

LA SOLUTION DE MESURE DU RISQUE D’ACCIDENT
POUR LES ASSUREURS AUTOMOBILES

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

English translation

Lire l’article Calcul du risque d’accident pris par les conducteurs. Fév 2016 (pdf)

Jan
11

Nexyad wrote a paper in the book
Energy Consumption and Autonomous Driving

METHODOLOGY for ADAS VALIDATION :
Potential Contribution of Other Scientific Fields Which Have Already Answered the Same Questions

By Gérard YAHIAOUI & Pierre DA SILVA DIAS

Livre Jochen

This volume by Jochen Langheim collects selected papers of the 3rd CESA Automotive Electronics Congress, Paris 2014. CESA is the most important automotive electronics conference in France. The topical focus lies on state-of-the-art automotive electronics with respect to energy consumption and autonomous driving. The target audience primarily comprises industry leaders and research experts in the automotive industry.

To buy the book : http://www.springer.com/jp/book/9783319198170

Dec
31

Economic Intelligence presentation on Nexyad-ADAS blog

NEXYAD always looking at surveys about ADAS and driverless cars market … Here is a relevant study about Automotive Advanced Driver Assistance Systems Market (2015-2025), by ReportBuyer.com

The Next Step Towards Autonomous, Self-Driving & Driverless Cars

LONDON, May 12, 2015 /PRNewswire/ — Report Details

In many ways, advanced driver assistance systems (ADAS) are the first step on the road to semi-autonomous or fully-autonomous self-driving and driverless vehicles. In 2015, Park Assistance, Surround-View Cameras, and Adaptive Cruise Control applications dominate the ADAS market; however, the penetration into passenger cars is relatively low despite the increasing rate of installations into the premium car segment manufacturers.
Often these are fitted in isolation, and even where multiple systems are fitted in a vehicle, great care is taken to ensure that these systems are perceived only as assisting the driver (who must remain fully alert) rather than taking over his role. As the number and abilities of these systems increases, the situation will move further along a continuum from driver assistance to in effect driver substitution, meaning that the driver would no longer be required to be alert and instead the onus would fall on the vehicle to warn the driver when his input was required, bringing him back to a state of full alertness.

To read more : http://www.nexyad-adas.com/archives/2015/12/31/33118647.html

Oct
14

USING NEXYAD ADAS MODULES
FOR AUTONOMOUS VEHICLE AND SAFETY/RISK ESTIMATION



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

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