自动驾驶车辆协同机动协商:实验结果

Daniel Hess, Ray Lattarulo, Joshué Pérez, T. Hesse, F. Köster
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引用次数: 18

摘要

当部署在公共交通中的自动驾驶汽车(AVs)数量达到相当大的水平时,它们与其他自动驾驶汽车、人工控制车辆和非机动参与者的互动形式将影响交通的整体安全和效率。虽然许多研究都是从效率和仿真的角度进行影响分析,但我们在这里从真人大小的实验平台的角度阐述了实际适用的自动驾驶汽车安全合作方法。在前人的文献中,提出了一种用于协商这种合作的消息集——时空保留程序(STRP),它与所研究的验证方法相兼容。本出版物随后提供了两种具有不同软件和硬件架构的合作自动驾驶车辆的测试驾驶结果和分析。在具有非平凡道路几何形状的城市场景中,使用预订消息通过车对车无线电协商合作变道。验证了分布式协作方案在实际条件下的适用性。
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Negotiation of Cooperative Maneuvers for Automated Vehicles: Experimental Results
When the number of automated vehicles (AVs) deployed in public traffic reaches a significant level, their form of interaction with other AVs, human controlled vehicles and non-motorized participants will impact traffic overall safety and efficiency. While many studies have approached impact analysis on the side of efficiency and via simulation, we here elaborate on practically applicable methods for safe cooperation of AVs from the perspective of life-size experimental platforms. In a previous publication, a message set for negotiation of such a cooperation has been proposed, space-time reservation procedure (STRP), which is compatible with the investigated verification approach. This publication follows up by providing results and analysis of test drives with two cooperating, automated vehicles with differing software and hardware architectures. The reservation messages are employed to negotiate a cooperative lane change via Vehicle-to-Vehicle radio in an urban scenario with non-trivial road-geometry. The applicability of the distributed cooperation scheme to real-world conditions is demonstrated.
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