Deep reinforcement learning for pedestrian collision avoidance and human-machine cooperative driving

Junxiang Li; Yao Liang; Xin Xu; Bang Cheng; Junkai Ren

doi:10.1016/j.ins.2020.03.105

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JOURNAL ARTICLE

Deep reinforcement learning for pedestrian collision avoidance and human-machine cooperative driving

Junxiang Li Yao Liang Xin Xu Bang Cheng Junkai Ren

Year: 2020 Journal: Information Sciences Vol: 532 Pages: 110-124 Publisher: Elsevier BV

DOI: 10.1016/j.ins.2020.03.105

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Keywords:

Reinforcement learning Collision avoidance Pedestrian Computer science Distraction Collision Scheme (mathematics) Convergence (economics) Collision avoidance system Artificial intelligence Simulation Process (computing) Q-learning Engineering Computer security Transport engineering

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Citation History

Topics

Autonomous Vehicle Technology and Safety

Physical Sciences → Engineering → Automotive Engineering

Traffic control and management

Physical Sciences → Engineering → Control and Systems Engineering

Reinforcement Learning in Robotics

Physical Sciences → Computer Science → Artificial Intelligence

Deep reinforcement learning for pedestrian collision avoidance and human-machine cooperative driving

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