09 mars 2016

Car Manufacturers Reveal HMI Plans for ADAS Technology

Car Manufacturers Reveal HMI Plans for ADAS Technology TU-Automotive, an organisation focused on evolving automotive technology, has announced that speakers from Volkswagen, Peugeot Citroen PSA and SBD Consulting will speak on the critical role of Human-Machine Interfaces (HMI) in driving Advanced Driver Assistance Systems (ADAS) technological capability and consumer acceptance in TU-Automotive’s HMI webinar, “HMI and the Changing Role of the Driver” on February 11th. As ADAS features become more prevalent in vehicles, it is a... [Lire la suite]

08 mars 2016

NEXYAD member of Groupement ADAS will talk at CONNECTED CAR INSURANCE EUROPE 2016

NEXYAD member of Groupement ADAS will talk at CONNECTED CAR INSURANCE EUROPE 2016 :the congress on Insurance Telematics : NEXYAD will show solution for REAL RISK OF ACCIDENT measurement (easy-to-use by actuaries) To read more : http://www.tu-auto.com/connectedcar-insurance-eu/conference-speakers.php
05 février 2016

Newletter of NEXYAD Automotive & Transportation : risk of accident,visibility measurement,

Here is the new issue of the newsletter of NEXYAD Automotive & Transportation : NEXYAD ADAS : newsletter of NEXYAD Automotive & Transportation : risk of accident, visibility measurement, autonomous car 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... [Lire la suite]
23 janvier 2016

A Roadmap to Safer Driving Through Advanced Driver Assistance Systems

A Roadmap to Safer Driving Through Advanced Driver Assistance Systems SEPTEMBER 29, 2015by Xavier Mosquet, Michelle Andersen, and Aakash Arora CATEGORIES: AUTOMOTIVE Every year, more than 3.9 million people are injured in motor vehicle accidents in the US—and more than 33,000 are killed. The cost to society totals roughly $910 billion annually, according to federal estimates. Yet safety technologies on the market today could sharply reduce the number and severity of motor vehicle accidents. These... [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]
07 janvier 2016

Nvidia announces ‘supercomputer’ for self-driving cars at CES 2016

Do you like teraflops? By Dieter Bohn Nvidia is kicking off CES 2016 with its traditional first keynote. CEO Jen-Hsun Huang wasted no time getting to the "punchline," a new computer for cars he's calling the Drive PX2, the follow-up to last year's Drive CX. Nvidia is famous for throwing out big numbers to tout the power of their processors, and many of them were mentioned here on stage. Its processing power is supposedly equivalent to 150 MacBook Pros, all sitting in a computer that's about the size of a lunchbox. It has... [Lire la suite]
Posté par ADASinfo à 18:04 - Commentaires [0] - Permalien [#]
Tags : , , , , , , ,

26 décembre 2015

2.3 Mpixel automotive image sensor carries ASIL B qualification

ON Semi is seeing a marked increase in the number of image sensors deployed per car in ADAS functions. Its most recent introduction provides, among other features, flicker reduction. This is intended to eliminate, directly at the sensor, the strobing effect that can occur when the image sampling cycle 'beats' with the pulsed waveform driving LED tail-lights in other vehicles, or illuminated speed-limit signs. The sensor also has a high dynamic range, substantially exceeding that of the human eye; and it is also the only sensor in its... [Lire la suite]
16 décembre 2015

Laser Breakthrough Could Speed the Rise of Self-Driving Cars

Google's self-driving car relies on a roof-mounted LIDAR sensor to see the world around it.   The eyes of a self-driving car are called LIDAR sensors. LIDAR is a portmanteau of “light” and “radar.” In essence, these sensors monitor their surroundings by shining a light on an object and measuring the time needed for it to bounce back. They work well enough, but they aren’t without their drawbacks. Today’s self-driving cars typically use LIDARs that are quite large and expensive. Google, for instance, used $80,000 LIDARs with... [Lire la suite]
07 décembre 2015

Driven by IEEE Standards, Ethernet Hits the Road in 2016

Driven by IEEE Standards, Ethernet Hits the Road in 2016 Junko Yoshida   "This article is part of EDN and EE Times' Hot Technologies: Looking ahead to 2016 feature, where our editors examine some of the hot trends and technologies in 2015 that promise to shape technology news in 2016 and beyond. A new trend emerging in the automotive market in 2016 is the migration of Ethernet, a tried- and-true computer network technology, into connected cars. The proliferation of advanced driver assistance system (ADAS) features... [Lire la suite]
06 décembre 2015

Top misconceptions of autonomous cars and self-driving vehicles

Self-driving cars are a rapidly evolving technology which only a few years ago was still considered science fiction. In such a dynamic context, quick intuitions can be very misleading and misconceptions about the technology, its impact, and the nature of the innovation process abound. In the following we address some of the most widely held misconceptions about autonomous vehicles: Top misconceptions Driver assistance systems will evolve gradually into fully autonomous cars The first models of fully autonomous cars will be... [Lire la suite]