Bio-Inspired Collision Avoidance in Swarm Systems via Deep Reinforcement Learning
IEEE Transactions on Vehicular Technology(2022)
Abstract
Autonomous vehicles have been highlighted as a major growth area for future transportation systems and the deployment of large numbers of these vehicles is expected when safety and legal challenges are overcome. To meet the necessary safety standards, effective collision avoidance technologies are required to ensure that the number of accidents are kept to a minimum. As large numbers of autonomous...
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Key words
Collision avoidance,Autonomous vehicles,Communication networks,Training,Task analysis,Robot sensing systems,Servers
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