大交通场景下自动驾驶车辆归并机动的博弈决策

M. Garzón, A. Spalanzani
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引用次数: 18

摘要

提出了一种自动驾驶汽车的博弈决策过程。它的目标是为一项非常具有挑战性的任务提供解决方案:高流量场景下的合并机动。与之前的方法不同,提出的解决方案不依赖于车与车之间的通信或任何特定的协调,而且,它能够预测其他玩家的行动以及他们对自动驾驶汽车运动的反应。
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Game theoretic decision making for autonomous vehicles’ merge manoeuvre in high traffic scenarios
This paper presents a game theoretic decision making process for autonomous vehicles. Its goal is to provide a solution for a very challenging task: the merge manoeuvre in high traffic scenarios. Unlike previous approaches, the proposed solution does not rely on vehicle-to-vehicle communication or any specific coordination, moreover, it is capable of anticipating both the actions of other players and their reactions to the autonomous vehicle’s movements.
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