03 février 2017

SafetyNex, a SmartPhone App that revolutionizes the automotive world

SafetyNex, a SmartPhone App that revolutionizes the automotive world : smart vehicle, car insurance, fleet management, digital App for retail Nudge SafetyNex is a smartphone application developed and marketed by NEXYAD and which reduces by 20% the number of road accidents [1]. This application is of direct interest to many application targets. 1 - Driver NEXYAD is convinced that the applications of vehicle telematics must first target. Driver’s satisfaction, and not only businesses that live of the automobile. It is a strong value... [Lire la suite]

31 janvier 2017

NEXYAD invited at the round table of FLEET MANAGEMENT conference

NEXYAD invited at the round table of FLEET MANAGEMENT conference   NEXYAD could discuss with all the other invited speakers about telematics, connected car, and adas/driverless in the future,and focused of the new disruptive real time driving risk assessment smartphone App SafetyNex, for car insurance and fleets. NEXYAD is member of the Groupement ADAS of MOV'EO Read more : http://nexyad.net/Automotive-Transportation/?p=3569
30 janvier 2017

Our autonomous future: How driverless cars will be the first robots we learn to trust

Our autonomous future: How driverless cars will be the first robots we learn to trust Until recently, the concept of a driverless car seemed like the stuff of science fiction. But much has changed in just a few short years as the technology behind autonomous vehicles has taken huge strides. The cross-country driving Audi, powered by technology from Delphi, drove in autonomous mode 99 percent of the time. The US federal government has also begun to embrace autonomous vehicles as a coming reality. In February 2016, the US... [Lire la suite]
15 janvier 2017

ERTRAC Automated Driving Roadmap

ERTRAC Automated Driving Roadmap This document provides an overview on the current status for Automated Driving technologies with regard to implementation in Europe. The ERTRAC roadmap is based on available documents for automated driving. The overall objective is to identify challenges for implementation of higher levels of automated driving functions. A lot of work has been done on this topic by various stakeholders and multi-stakeholders platforms (e.g. iMobility Forum, EUCAR, CLEPA, ERTICO, EPoSS) and in European research... [Lire la suite]
13 janvier 2017

Tata Elxsi Showcases Advanced Automotive Technology Solutions at CES 2017

Tata Elxsi Showcases Advanced Automotive Technology Solutions at CES 2017 ata Elxsi, a global design and technology services company and a leader for automotive electronics and software engineering services, is showcasing key solutions addressing Autonomous Vehicle, Connected Infotainment, Automation, IoT and Artificial Intelligence at CES 2017. Key solutions being showcased at CES 2017 include:  Autonomous Vehicle & ADAS  Autonomai: Tata Elxsi's advanced autonomous vehicle middleware platform, with deep learning and... [Lire la suite]
Posté par NEXYAD à 05:58 - - Commentaires [0] - Permalien [#]
Tags : , , , , ,
11 janvier 2017

CES 2017: Nasa’s helping Nissan make driverless cars

CES 2017: Nasa’s helping Nissan make driverless cars     Nissan’s autonomous car drive has gained significant momentum at the CES show in Las Vegas. The Japanese carmaker has put a timeline to its plans, and confirmed the MkII Leaf – due in the next year or two – will get semi-autonomous functionality as standard. It has also collaborated with Nasa to help develop something called SAM (Seamless Autonomous Mobility) that means proper self-driving vehicles – taxis and vans with no drivers in them at all... [Lire la suite]
Posté par NEXYAD à 10:34 - - Commentaires [0] - Permalien [#]
Tags : , ,

07 janvier 2017

A Review of Data Fusion Techniques

A Review of Data Fusion Techniques The integration of data and knowledge from several sources is known as data fusion. This paper summarizes the state of the data fusion field and describes the most relevant studies. We first enumerate and explain different classification schemes for data fusion. Then, the most common algorithms are reviewed. These methods and algorithms are presented using three different categories: (i) data association, (ii) state estimation, and (iii) decision fusion. 1. Introduction In general, all tasks that... [Lire la suite]
Posté par NEXYAD à 06:02 - - Commentaires [0] - Permalien [#]
Tags : , , ,
04 janvier 2017

Driverless cars: Don’t ignore the human factor

Driverless cars: Don’t ignore the human factor Tesla Motors has announced what is thought to be the first fatal accident in one of its electric, self-driving cars that was under its own control. Details are unclear, Tesla said the accident happened on a divided highway when a tractor trailer, or articulated lorry, drove across the highway “perpendicular to” the car and continued. “Neither Autopilot nor the driver noticed the white side of the tractor trailer against a brightly lit sky, so the brake was not applied”, reports say. ... [Lire la suite]
01 janvier 2017

Groupement ADAS wishes you all a Happy New Year 2017

Groupement ADAS wishes you all a Happy New Year 2017 Groupement ADAS was created in the "pôle de compétitivité MOV'EO", in France. Its goal is to gather SMEs and medium sized companies involved in ADAS, connected car,  and driverless development : . products for car series. products for aftermarket series : car insurance, fleets, . smartphone Apps for drivers. products for research & development teams. studies and services : perception, data fusion, control, human factor, .... big data cloud platform for your... [Lire la suite]
29 décembre 2016

New Pedestrian Detector from Google Could Make Self-Driving Cars Cheaper

New Pedestrian Detector from Google Could Make Self-Driving Cars Cheaper Google’s self-driving cars roam the sunny streets of Mountain View, Calif., in public but much of the technology that powers them has never seen the light of day. Yesterday, attendees at the IEEE International Conference on Robotics and Automation (ICRA) in Seattle got a rare glimpse into a new safety feature the tech giant is working on. Anelia Angelova, a research scientist at Google working on computer vision and machine learning, presented a new... [Lire la suite]