Multi-Vehicle Motion Coordination Using V2v Communication
2015 IEEE Intelligent Vehicles Symposium (IV)(2015)
摘要
Vehicle-to-vehicle (V2V) communication enables intention sharing among neighboring vehicles and thereby vehicles' motion can be coordinated to incorporate collision (or conflict) avoidance. In this paper, we propose a general framework to distribute the computational burden for coordinating multiple vehicles' stop-or-go motion. We formulate the multi-vehicle motion coordination problem as a total stopping time minimization problem under the constraint of mutual collision avoidance. The minimal stopping time solution, if such exists, is found using the A* search algorithm in the coordination diagram. The solution is executed efficiently by placing temporary virtual obstacles on the desired path. The communication latency is analyzed for practical applications. The simulations show the correctness and efficacy of our algorithm. An on-road experiment involving two autonomous vehicles, each equipped with V2V communication devices, was performed to demonstrate how deadlocks are successfully avoided.
更多查看译文
关键词
multivehicle motion coordination,vehicle-to-vehicle communication,intention sharing,vehicle motion,incorporate collision avoidance,multiple vehicles stop-or-go motion coordination problem,total stopping time minimization problem,mutual collision avoidance,minimal stopping time solution,search algorithm,coordination diagram,V2V communication device
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要