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]
03 décembre 2015

RoadNex v2.2 Road Detection – Scooter passing by in City Traffic

RoadNex v2.2 Road Detection – Scooter passing by in City Traffic RoadNex v2.2 Scooter passing by in City Traffic RoadNex v2.2 Road Detection – Scooter passing by in City Traffic RoadNex detecting the lane on the road with or without markings. Here, see the red line that reduces with scooters and cars; and the red surface highlighted which stops with scooters and cars, telling us it's not road anymore, so detecting obstacles in negative. The green Arrow shows the possible direction to follow. Nexyad provides modules for ADAS... [Lire la suite]
22 octobre 2015

Digital disruption and the future of the automotive industry

Digital services centered on increasingly empowered consumers will bring disruption to the automotive industry. Economic value within this industry and across adjacent markets will be forever altered. In a world where the future is far from certain, automotive companies will need to develop new core capabilities to survive. What is going to happen next and how to respond? Explore the IBM infographic, below. Download the report : http://www.ibm.com/smarterplanet/us/en/centerforappliedinsights/article/future-auto-insights.html ... [Lire la suite]

03 septembre 2015

DRIVING DELEGATION: KEY ELEMENTS

Driving Delegation: key elements for an artificial perception systemPublication of September 2, 2015Authors : Gérard YAHIAOUI & Pierre DA SILVA DIAS INTRODUCTIONThe automotive industry starts offering ADAS, and plans to propose in the near future partial or total driving  delegation systems. Main cases to be processed first may be:. Highway driving, where the number of events per kilometer is small because the infrastructure has been designed to minimize path irregularities (little or no turns, every car in the same... [Lire la suite]
22 mai 2015

Groupement ADAS at the Safety Week in Germany

credit photo Katrin Heyer Nexyad and Intempora were the representatives of the Groupement ADAS at the Safety Week symposium in Aschaffenburg in Germany from 19th to 21st showing its VISION-BASED PERCEPTION KIT FOR PROJECTS OF AUTONOMOUS VEHICLE. The position paper of the Groupement about ADAS validation methodology and tools was also  presented during the conference cycle.   Credit photo Katrin Heyer
29 janvier 2015

Google develops embedded Android auto software, system faces resistance in Europe

Google is reportedly developing a version of Android to be built directly into cars. However, developing an onboard system robust enough might only be the first hurdle Google needs to overcome in its quest to become further embedded into people's daily lives. Google is reportedly developing Android-based software that could be embedded directly into vehicles to provide map and infotainment services — and potentially access vehicle systems directly. On the other hand, other reports indicate the Android model faces some resistance,... [Lire la suite]
21 août 2014

ADAS Groupment at the Vision leading world trade fair for machine vision

ADAS Groupment  was part of the Vision international show in Stuttgart from November the 4th to 6th 2014). ADAS members representatives were be GlobalSensing Technologies (GST) , Intempora and Nexyad.