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5 stars rating of NEXYAD by EARLY METRICS    The high-tech startup NEXYAD has been rated by the rating agency EARLY METRICS and is in the top 2%of all rated startups ever (81/100, five stars). NEXYAD is member of MOV'EO and member of the Groupement ADAS. NEXYAD has several high applied maths level algorithms/products : . SafetyNex (http://www.safetynex.net) : available on smartphones and soon into professional devices.  SafetyNex is a real time driving risk assessment telematics system and a vocal alert assistant... [Lire la suite]

Innovation through technologies by GoodYear New tire development is a highly complex process which brings together a host of specialist expertise including tire pattern design, material selection, in-depth analysis, prototyping, testing, tire mold manufacture and mass production. At our Goodyear Innovation Centers, we encourage teams to push the boundaries of tire technologies. To seize the opportunity to develop sophisticated tires that offer drivers the ultimate performance through excellent handling, grip and braking in a wide... [Lire la suite]

The effect of ADAS & automation on fleet management Change is coming to the world of transportation as we move closer to truly connected fleets. Advanced safety features leading to full autonomy will make today's truck drivers and the roads they travel safer as the industry slowly gravitates toward driverless trucks. When it comes to ADAS, Ian Riches of Strategy Analytics says that we're in an era of democratisation of existing features: technologies such as traffic-jam assistance, adaptive cruise control and fully autonomous... [Lire la suite]

HERE introduces HD Live Map to show the path to highly automated driving Today we launch our latest innovation for automakers and system vendors in North America and Western Europe. The HD Live Map from HERE – the first of its kind – creates a highly detailed and dynamic representation of the road environment, enabling a vehicle to effectively “see around corners.” HD Live Map is composed of tiles and contains dynamic content layers. Each layer provides different details: lane level information, dynamic road network and... [Lire la suite]

On-road assessment of in-vehicle driving workload for older drivers: Design guidelines for intelligent vehicles  There has been recent interest in intelligent vehicle technologies, such as advanced driver assistance systems (ADASs) or in-vehicle information systems (IVISs), that offer a significant enhancement of safety and convenience to drivers and passengers. However, the use of ADAS- and IVIS-based information devices may increase driver distraction and workload, which in turn can increase the chance of traffic accidents.... [Lire la suite]

Aftermarket Add-Ons Will Make Any Car Smarter, for a Price When we talk about driverless cars, we're often starting with the concept of a whole-package model — such as Google's now famous laser-and-sensor prototype — one that's already navigating selected routes in California. But there's another frontier in the technology-driven space of advanced driving systems, and it's starting to make inroads in the aftermarket. Witness the emergence of add-ons such as Cruise Automation's RP-1 radar-based advanced driver assist... [Lire la suite]

At the Geneva International Motor Show 2017, Goodyear presented the Eagle 360 Urban concept tire. The design builds on the concept unveiled last year with the Eagle-360 and adds Artificial Intelligence, a bionic skin and a morphing tread to the mix. By including these features, the tire can sense road and weather conditions, decide the appropriate course of action and if necessary, transform to the optimal tread. Using the data it has collected, the tire can morph its tread, adding ‘dimples’ for wet conditions and giving it a slick... [Lire la suite]

A Driver Face Monitoring System for Fatigue and Distraction Detection Driver face monitoring system is a real-time system that can detect driver fatigue and distraction using machine vision approaches. In this paper, a new approach is introduced for driver hypovigilance (fatigue and distraction) detection based on the symptoms related to face and eye regions. In this method, face template matching and horizontal projection of top-half segment of face image are used to extract hypovigilance symptoms from face and eye, respectively.... [Lire la suite]

Challenges in Autonomous Vehicle Testing and Validation Software testing is all too often simply a bug hunt rather than a wellconsidered exercise in ensuring quality. A more methodical approach than a simple cycle of system-level test-fail-patch-test will be required to deploy safe autonomous vehicles at scale. The ISO 26262 development V process sets up a framework that ties each type of testing to a corresponding design or requirement document, but presents challenges when adapted to deal with the sorts of novel testing problems... [Lire la suite]

Road detection RoadNex may help to avoid TESLA accidents Most camera-based road detection systems are based on detection of white lines. Thoses detectors are very efficient if white lines exist (it is not the case on every road in Europe) and if they are "clean" and not tricky. For instance, if you have a construction zone, you keep the white line detection on the right side, you lose it on the left side (so you may thinkthat they are erased on the left side because it happens all the time). Plots (or temporary separation wall) used... [Lire la suite]