28 février 2019

46 Corporations Working On Autonomous Vehicles

46 Corporations Working On Autonomous Vehicles Beyond trendy names like Tesla and Alphabet chasing self-driving cars, a host of auto brands and other tech heavyweights are also investing in autonomous R&D. Private companies working in auto tech are attracting record levels of deals and funding, with autonomous driving startups leading the charge. Along with early-stage startups, VCs, and other investors, large corporations are also angling to get a slice of the self-driving pie. Using CB Insights’ investment,... [Lire la suite]
Posté par NEXYAD à 00:08 - - Commentaires [0] - Permalien [#]
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27 janvier 2019

DEEP REINFORCEMENT LEARNING FOR AUTONOMOUS VEHICLES-STATE OF THE ART

DEEP REINFORCEMENT LEARNING FOR AUTONOMOUS VEHICLES-STATE OF THE ART Reinforcement learning is considered to be one of the strongest paradigms in AI domain, which can be applied to teach machines how to behave through environment interaction. Recently the concept of deep reinforcement learning (DRL) was introduced and was tested with success in games like Atari 2600 or Go, proving the capability to learn a good representation of the environment. In this moment there are few implementations of DRL in the autonomous driving field. In... [Lire la suite]
Posté par NEXYAD à 00:39 - - Commentaires [0] - Permalien [#]
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22 juillet 2016

Adas and autonomous vehicle : Sensor data fusion: state of the art survey

Adas and autonomous vehicle : Sensor data fusion: state of the art survey This survey is organized into three research directions driven by somewhat different research communities: (1) sensor networks, (2) robust navigation and (3) situation awareness. The current and future progress in these areas will affect security and crisis management needs as treated in [1], for instance in the areas: surveillance of environment, borders, harbors, critical infrastructure and private properties; secure transportation systems; rescue operations... [Lire la suite]