21 août 2016

France: BMW selects start-up Nexyad for driving risk estimation

France: BMW selects start-up Nexyad for driving risk estimation BMW’s French subsidiary has selected three innovative companies to develop the mobility of the future. The start-up Nexyad is one of them. Nexyad has developed SafetyNex an APP onboard real-time that estimates the risk in driving. Based on artificial intelligence, the system can calculate at every moment the risk taken by the driver, by comparing the driving behavior (speed, acceleration, etc.) to the difficulties of the road (crossroads, school, turns tight, etc). ... [Lire la suite]

11 août 2016

onboard telematics for real time automotive risk assessment and respect of driver's privacy : position paper

onboard telematics for real time automotive risk assessment, and respect of driver's privacy : position paper extrait tu position paper en anglais de NEXYAD  1 – Introduction Onboard telematics, smart phones, connected devices, are now in use to monitor driver’s behaviour : habits, way of driving, etc ... Many organizations are interested to collect, use and monetize those data, and one of the key questions is about the driver, privacy and choice to share data, and also his interest: What will he/she get in return (new and... [Lire la suite]
04 août 2016

News - BMW selects Nexyad for driving risk estimation

News - BMW selects Nexyad for driving risk estimation Nexyad’s SafetyNex system offers real-time driving risk estimate, can play vital role in improving driving safety and reduce accidents read the news : https://technology.ihs.com/Search?q=nexyad
29 mars 2016

position paper : onboard risk assesment for insurance companies

THE ULTIMATE SOLUTION FOR INSURANCE COMPANIES THAT NEED ONBOARD RISK ASSESSMENT . 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) By NEXYAD 1-INTRODUCTION Insurance companies now find themselves in front of a potential change in business model, and the so-called "pay how you drive" pricing is an idea whose time has... [Lire la suite]
09 janvier 2016

NEXYAD showed that risk of accident is not correlated to driving style

Although ntuition let people presume that risk of accident may be correlated to driving style, NEXYAD could demonstrate that this is wrong : There are quiet but dangerous drivers, and there are brutal but safe drivers. The module SafetyNex, developed by the company NEXYAD shows how it really works, and this module is the ultimate telematics solution (connected car) for onboard road safety estimation. Available on smartphones, second market electronic devices, and first market electronic devices. Examples of mappings Safety x... [Lire la suite]
12 octobre 2015

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   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... [Lire la suite]
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21 septembre 2015

Onboard road safety/risk Measurement correlated to accidents

Onboard road safety/risk Measurement correlated to accidents : How to use SafetyNex V2.1 for Insurance applications, and for Automotive applications (ADAS & autonomous vehicle) by Nexyad   INTRODUCTION: Description of 2.1 SafetyNex SafetyNex is a software module proposed by the French company NEXYAD. This module aims to match the driving style (acceleration, vehicle speed) with the danger characteristics of infrastructure. SafetyNex development started in 2001 and benefited from three national collaborative research... [Lire la suite]