28 mai 2018

DEEP LEARNING FOR ONBOARD APPLICATIONS: HIDDEN TRAP

DEEP LEARNING FOR ONBOARD APPLICATIONS: HIDDEN TRAP Now Deep Learning is used in onboard detection and pattern recognition applications. NEXYAD for instance uses Deep Learning in RoadNex (road detection without need of markings + detection of free space), and ObstaNex (obstacles detection). But if you do not analyse your INDUSTRIAL project in detail, you may have bad surprises : everone thinks he/she knows that the more numerous the training examples, the most accurate the KPIs. Let's say you used 1 billion km to train and... [Lire la suite]

25 mai 2018

An Autonomous Car Roadmap for Suppliers

An Autonomous Car Roadmap for Suppliers Autonomous vehicles, with their promising pilot programs and enormous potential, make headlines in business and technology news every day. Self-driving cars and trucks promise to dramatically change the economics of nearly every industry, and it seems likely that eventually many people will no longer feel the need to own a car or even know how to drive. However, the path to this driverless future is more complex than a first glance might suggest. Fully autonomous cars are likely to remain a... [Lire la suite]
21 mai 2018

Overview of Retrofit Kits for Autonomous Driving

Overview of Retrofit Kits for Autonomous Driving Autonomous driving is something that’s not pnly for new cars, but a number of startups are working on developing retrofit kits that allow cars today on the road to drive autonomously. Such kits typically come with a number of additional sensors, graphic processors and the possibility to use existing vehicle components and sensors. Some of the startups signed partnerships with current automotive players. The general importer of cars from the Volkswagen group for Switzerland AMAG... [Lire la suite]
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20 mai 2018

People don’t trust driverless cars. Researchers are trying to change that

People don’t trust driverless cars. Researchers are trying to change that This October, television and web viewers were treated to an advertisement featuring basketball star LeBron James taking a ride in a driverless car. At first, James—known for his fearlessness on the court—peers in doubtfully at the vacant driver's seat and declares: "Nope." But after a short trip in the back seat, he has changed his tune. "Hey yo, I'm keepin' this!" James exclaims to friends. The ad, from computer chip–maker Intel in Santa Clara, California,... [Lire la suite]
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19 mai 2018

‘Special report: ADAS – a stepping stone to autonomous driving?’ by Automotive World

‘Special report: ADAS – a stepping stone to autonomous driving?’ by Automotive World Automotive World has published a new report, ‘Special report: ADAS – a stepping stone to autonomous driving?’ which explores the evolution of advanced driver assistance systems. Advances in radar, camera and LiDAR systems, as well as data analysis, machine learning and connectivity mean that technologies initially developed in the name of safety can now be combined to create self-driving vehicle systems. As the automotive industry... [Lire la suite]
17 mai 2018

Automated Vehicles for Safety

Automated Vehicles for Safety   Overview The continuing evolution of automotive technology aims to deliver even greater safety benefits and Automated Driving Systems (ADS) that—one day—can handle the whole task of driving when we don’t want to or can’t do it ourselves. Fully automated cars and trucks that drive us, instead of us driving them, will become a reality. These self-driving vehicles ultimately will integrate onto U.S. roadways by progressing through six levels of driver assistance technology advancements... [Lire la suite]
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16 mai 2018

The implementation challenges of highly automated driving systems

The implementation challenges of highly automated driving systems Functional safety has become established as a routine activity in the development of safety-related electronic systems in the automotive industry, principally through ISO 26262 which builds on existing foundations of systems engineering and reliability analysis techniques - an overview by Dr David Ward, Senior Technical Manager, Functional Safety, HORIBA MIRA Ltd The approach to functional safety in ISO 26262 is concerned with addressing hazards that result from... [Lire la suite]
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26 avril 2018

Watch Yamaha's Humanoid Robot Ride a Motorcycle Around a Racetrack

Watch Yamaha's Humanoid Robot Ride a Motorcycle Around a Racetrack Yamaha has just put a humanoid robot on one of its motorcycles and pitted it against Valentino Rossi, a professional rider. The robot didn’t win, but it’s amazing that it could ride at all. What’s striking is that the bike is unmodified: the robot is a hunched-over form on top. It senses the environment, calculates what to do, keeps the bike stable, manages acceleration and deceleration—all while factoring in road conditions, air... [Lire la suite]
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25 avril 2018

Human Factors in Automated Driving

Human Factors in Automated Driving   Automated driving will fundamentally change road transportation. But the role of humans and human-system interaction need to be clearly established to ensure a smooth ride. Automated driving technology has the potential to fundamentally change road transportation and improve quality of life. If set on the right track, automated vehicles (AVs) could reduce accidents caused by human errors, increase traffic flow efficiency, increase comfort by allowing the driver to perform alternative... [Lire la suite]
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16 avril 2018

2018 CNEJITA Symposium : How Artificial Intelligence of Autonomous Driving will be auditable in case of accident

How Artificial Intelligence of Autonomous Driving will be auditable in case of accident   2018 CNEJITA symposium : keyword = complexity NEXYAD explained how the AI based real time driving risk assessment SafetyNex can monitor autonomous driving artificial intelligence. Does AI follow rules of cautiousness ? Read more : https://www.cnejita.org/2018/01/colloque-2018-intelligence-artificielle-qui-sera-responsable/
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