Nexyad at Connected Car Insurance Europe 2016

Connected Car Insurance Floorplan

Come to visit us on booth 17 and don’t miss Nexyad SafetyNex Presentation :

Wes 13th – Track 3 : Technology & Innovation
3PM : Onboard road safety assessment for insurance companies (pay how you drive) and for car manufacturers (driverless car) SafetyNex
Insurance Companies :
Move from pricing group by group (segmentation) to pricing driver by driver Then statistics of accident cannot be relevant (accidents are rare and one cannot wait for accident to modify the pricing for a driver). One need to predict … to estimate if the driver takes risks or not. And it would be great to have it in real time because it may be used to warm the driver before he/she gets in a dangerous case.
Car Manufacturers :
Measure the risk taken by the driverless function. Needed to control the driverless function, needed to know when to give back control to the driver, needed in case of accident for responsability study.

Nexyad RoadNex v2.3 – Road Detection for ADAS : Highway Dark Night

Nexyad RoadNex v2.3 – Road Detection for ADAS, Autonomous Vehicle & Connected Car on Highway by Dark Night.


RoadNex detects the lane and the road surface and does not depend on the level of equipment of road infrastructure. Here, low light and poor contrast don’t prevent detection.

Reminder : SafetyNex Presentation at Connected Car Insurance Europe

Connected Car Insurance

Connected Car Insurance Europe 2016
Tuesday 12th & Wesnesday 13th April – Hilton Tower Bridge London

Wes 13th – Track 3 : Technology & Innovation
3PM : Onboard road safety assessment for insurance companies (pay how you drive) and for car manufacturers (driverless car) SafetyNex
Insurance Companies :
Move from pricing group by group (segmentation) to pricing driver by driver Then statistics of accident cannot be relevant (accidents are rare and one cannot wait for accident to modify the pricing for a driver). One need to predict … to estimate if the driver takes risks or not. And it would be great to have it in real time because it may be used to warm the driver before he/she gets in a dangerous case.
Car Manufacturers :
Measure the risk taken by the driverless function. Needed to control the driverless function, needed to know when to give back control to the driver, needed in case of accident for responsability study.

New tests for autonomous vehicle type approval
RDW Netherlands presentation

Autonomous Vehicle Test & Development

Day 1 – 16:00 – Shifting legislation for automated vehicles
Gerben Feddes, senior advisor intelligent mobility, RDW, Netherlands
The RDW is the Netherlands vehicle authority. We face new challenges in the type approval of vehicles. New intelligent products also need to pass the type approval. But legislation is missing. We foresee new legislation: why have a complex admittance procedure when vehicles are ever changing? Is the type approval going to shift from admittance to in-use compliance? And is safety shifting from in-vehicle (e.g. ABS) to the interaction between vehicles (e.g. V2X)? The presentation gives an overview of new tests needed.

http://www.autonomousvehiclesymposium.com/conf_overview.php

Nexyad Automotive & Transportation Newsletter #8 now available

HIGH-TECH, ADAS, AUTONOMOUS VEHICLE, CONNECTED CAR NEWS

Headlines :
– Nexyad has just been rated by Early Metrics : We got Three Stars
– The Ultimate Solution for Insurance Companies that need Onboard Risk Assessment : SafetyNex
– Obstacle Detection using ObstaNex BiCam v1.0 : Rear Vision Demo
– Road Detection using RoadNex on Smartphone Camera (IOS,Android, Windows Phone)
– Future Presence of Nexyad on Congresses & Exhibitions (ADAS, Autonomous Cars & Insurance)
– Nexyad in Media
– Meeting with French Senator Claude NOUGEIN

Read Nexyad Automotive & Transportation Newsletter #8

ObstaNex BiCam v1.0 : Rear Vision Demo

Demo of NEXYAD technology for ADAS.
Nexyad combines one camera with another one for obstacle detections (ObstaNex v2.1) and uses data fusion to reshape stereo.
This solution still can work in mono when one camera is off.
In this example, we placed cameras in the place of rearview Mirror on a van.


Detection of pedestrian near the vehicle

Nexyad has just been rated by Early Metrics

Early Metrics, first rating agency for startups gave three stars to NEXYAD.
The audit responded to an external demand by a large industrial company. The founders, the project, the market and the financial statement of NEXYAD were scanned by experts for a score of 75/100.

Note early Metrics

More informations : Early Metrics

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

NEXYAD CEO with the French Senator Claude NOUGEIN
at a lunch organized by DojoGroup in Paris

18 Feb 2016 :
NEXYAD CEO Gerard YAHIAOUI, and a panel of SMEs founders invited by Isabelle STHEMER of DojoGroup, in Paris.

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 !

Some insurance companies gave up measuring driver behaviour :
Nexyad explains why their settings are ineffective

According to the newspaper ‘Les Echos », AG Insurance gave up linking driving behavior to accident. For eight months, the insurer has equipped the car of staff members with « smartbox ». Verdict? Nah, nothing interesting linkable to driving style !
In 2014, the bank insurer KBC had reached the same conclusion after a test conducted with 150 employees, whose car was equipped with a device provided by TomTom.  »
AG Insurance

Read more : http://www.lecho.be/entreprises/services_financiers_assurances/AG_Insurance_renonce_a_lier_la_prime_auto_au_comportement.9729053-3028.art?ckc=1&ts=1455208594

For Nexyad, there is no mystery. Until now the applications or cases expected to provide data on the behavior of drivers all operate on the same principles :
– severe acceleration and braking
– Vehicle geolocation
– Cornering speed / curves
– Usage (mileage, road types, driving schedules, for example)

This information does not measure the « good behavior » that may inform actuaries of insurance on real risks taken by their clients.
Indeed, the correlation between the brutal acceleration (or severe braking) and road safety is a mistaken belief. The assumption that severe braking would report to a lack of anticipation of the driver, and instead a slight braking would be a sign of good anticipation is definitely wrong. This has been formally shown and demonstrated by experts in road safety. Besides, these same experts believe that an Eco driving is necessarily dangerous: Eco driving mainly keeping as most as possible the vehicle’s inertia, and thus slowing down as little as possible, which would push the Eco drivers to delay their decision of braking including when they approach a vulnerable road user (pedestrians, bicycles, scooters, etc.).
Nexyad worked since 2001 on these issues through four national collaborative research programs and now has a totally disruptive application that measures the Eco driving, but also road safety and those two measurements has no correlation).

This work consisted, for 15 years, in building the causal rules that lead to accidents. This is entirely different of statistical approaches. An insurance actuary may find that the majority of drivers under 25 years old with a red car have more accidents than others, and then this actuary could modulate its pricing on this criterion. This is reasoning on correlations and not cause and effect. Nexyad is the first and only company that can bring cause and effect considerations into accident risk assesment for insurance companies.

Nexyad developed the module SafetyNex which decodes the difficulties of the road infrastructure (dangerous curves, intersections, pedestrian crossings, school zone, etc.) relates those difficulties to the behavior of the vehicle through a grid of cause and effect. The construction of this grid of cause and effect required 15 years of knowledge extraction among a panel of road safety experts (their job is to explain accidents, and find ways to reshape roads and infrastructures in order to reduce statistics of accidents – national and European).

SafetyNex has been validated by INRETS (now became IFFSTAR) that deployed 500 vehiclesand compared risk estimation by SafetyNex with the accidents database « MAIS » of the National French Gendarmerie. We could demonstrate that SafetyNex estimates risk of traffic accident, as an immediately usable score for actuaries of insurance (for example).

NB: Accidents are rare events (one every 70 000km on average). This is why teams of road safety improvement at the national level have set up « observatories of cars trajectories ». They allowed to count the « near misses ». A near miss is accident that were prevented at the very last second (because one of the drivers had the proper reflex, …). When observing a repeat of near misses, then you end up getting an accident (near misses are at least a hundred times more numerous than accidents).
Nexyad is the only team of telematics solutions that brings this knowledge of these near misses and that is able to share it with the risk estimation experts at insurance companies.

How it works ?
Every second, a risk score and an Eco score are computed by SafetyNex, depending on the vehicle speed relative to the difficulty of the road infrastructure. Drivers can be warned in advance, 4 seconds before arriving on the dangerous area. Then SafetyNex may also decrease the number of accident (or the severity of accidents when they can’t be avoided).
SafetyNex establishes daily or weekly reports on the risk and eco and shows what could have been better (advices on driving efficiency improvement).
Insurers may get reports too : the real risk indicators. This is what Nexyad called SafetyNex signature driving behavior (duration at every level of risk, for instance).

View demos 4 films on the same route (1mn30):

Example of a good driver : both safe and Eco.

Example of a bad driver : both waste and risky

Example of a sporting driver : waste but safe most of the time

Example of a quit driver : eco, but very dangerous. Note : because this driver shows no severe braking, no over speed, then telematics solutions (except SafetyNex) will classify this driver as a GOOD DRIVER : this is a proof that severe brakin and over speed DO NOT give ANY information about road safety.