11 mai 2016

5 Robot Trends to Watch for in 2016 the autonomous car should take into account

5 Robot Trends to Watch for in 2016 the autonomous car should take into account Will this year mark the first drone delivery, or the first time you encounter a robot at work or in your home? We saw significant advancements in robotics and artificial intelligence in 2015 (see “What Robots and AI Learned in 2015”). Here’s what we’re watching closely in 2016. China’s robot revolution The world’s largest economy has embarked on an audacious effort to fill its factories with advanced manufacturing robots. The government of China... [Lire la suite]

30 avril 2016

Artificial Intelligence for Robotics Programming a Robotic Car

Course Summary   Learn how to program all the major systems of a robotic car from the leader of Google and Stanford's autonomous driving teams. This class will teach you basic methods in Artificial Intelligence, including: probabilistic inference, planning and search, localization, tracking and control, all with a focus on robotics. Extensive programming examples and assignments will apply these methods in the context of building self-driving cars. This course is offered as part of the Georgia Tech Masters in Computer... [Lire la suite]
17 avril 2016

Computer Vision and Artificial Intelligence: Market Trends and Implications

Computer Vision and Artificial Intelligence: Market Trends and Implications To read more : http://fr.slideshare.net/embeddedvision/computer-vision-and-artificial-intelligence-market-trends-and-implications-a-presentation-from-tractica
28 février 2016

Experts say driverless cars will require artificial intelligence

Experts say driverless cars will require artificial intelligence Automakers intending to bring driverless cars to market need to work as much on software design as mechanical engineering, the researcher leading Nissan Motor Co.’s automated-vehicle program said. Making cars that are “deliberative” in assessing road conditions, rather than just reactive, requires artificial intelligence, Maarten Sierhuis, director of Nissan’s Silicon Valley research center in Sunnyvale, California, said in an interview. The carmaker, which aims to... [Lire la suite]
27 février 2016

Nissan’s autonomous car will use AI to log drivers’ tastes

Nissan’s autonomous car will use AI to log drivers’ tastes High quality global journalism requires investment. Please share this article with others using the link below, do not cut & paste the article. See our Ts&Cs and Copyright Policy for more detail. Email ftsales.support@ft.com to buy additional rights. http://www.ft.com/cms/s/0/8f4a8914-7c8e-11e5-98fb-5a6d4728f74e.html#ixzz40va7KJEt Nissan has revealed ambitions for an autonomous car that goes beyond hands-free lane changes and... [Lire la suite]
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23 février 2016

NHTSA rules that AI can be sole driver of Google’s self-driving cars

Highway Administration ruling means steering wheel, pedals not needed. credit photo Google   The US government has cleared the way for Google to create a self-driving car that doesn't also have a human driver inside the vehicle that can take over if necessary. In this setup, the autonomous driving software itself would be the vehicle's legal "driver"; none of the human passengers would require a driving licence. In November last year, Google submitted a proposed design to the US National Highway Traffic... [Lire la suite]
20 décembre 2015

Toyota's $1 billion AI company will develop self-driving cars and robot helpers

Toyota's $1 billion AI company will develop self-driving cars and robot helpers  Share on Facebook (983) Tweet  Share (121) Pin  As the world's largest car manufacturer, Toyota knows a thing or two about getting people from point A to point B. But how do you make this process easier? The answer: artificial intelligence. Toyota announced today that it's establishing a new company, the Toyota Research Institute (TRI), to develop AI technologies in two main areas: autonomous cars and robot... [Lire la suite]
14 décembre 2015

Data Fusion and Artificial Intelligence for ADAS and Antonomou car

NEXYAD proposed a new way for data fusion in 2 steps : . Step 1 : data fusion  On ths level, modules c omminucate together in a dynamic way (there may bedifferential systems if outputs are connected to inputs.On the above diagram, VisiNex measures visibility, RoadNex detects the roadin front of the vehicle. Its inputs are both image (from a camera) and Region ofInterested that comes from SafetyNex (that is a connected object that reads themap in front of the vehicle). VisiNex may change tuning parameters of RoadNex and... [Lire la suite]
17 mai 2015

Scientists Are Simulating Life After Driverless Cars

Cameras mounted inside the university's modified Nissan Versa. Image: The University of Michigan's Transportation Research Institute While today's autonomous vehicles can to adapt to far more situations than even just a couple of years ago, it’s dealing with humans that remains the biggest problem—having cars adapt to humans, and us adapt to them. That’s why Dr. Anuj K. Pradhan, an assistant research scientist at the University of Michigan’s Transportation Research Institute, believes it’s all the more important to study human... [Lire la suite]