Abstract: In this paper, we present a deep-reinforcement learning(RL) approach to autonomous driving in a simulated environment, supported by a carefully crafted reward function. Using Unity's ...
Nvidia said it is working with robotaxi operators in hopes of having them use the company's AI chips and Drive AV software stack to power their fleets of autonomous vehicles as soon as 2027. Around ...
Abstract: Microscopic traffic simulation provides a controllable, repeatable, and efficient testing environment for autonomous vehicles (AVs). To evaluate AVs’ safety performance unbiasedly, the ...
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