Cooperative Perception Based on Intent Sharing Messages

S. Avedisov, A. Sakr, Takamasa Higuchi, O. Altintas
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引用次数: 1

Abstract

This paper proposes and investigates the concept of intent-based cooperative perception (IBCP) for connected vehicles. In IBCP, a connected ego vehicle shares its intended path and maneuver with remote connected road users, e.g., other connected vehicles (CVs) and infrastructure. These remote connected road users then process the intent of the ego vehicle and use their on-board sensors to detect critical road users which may come into conflict with the ego vehicle. Once a potential conflict is detected, the remote connected road users send a notification to share information about the critical road users with the ego vehicle. Thus IBCP is an event-based cooperative perception service driven by predicted events (conflicts). IBCP supplements traditional cooperative perception where messages are sent at a periodic rate without distinguishing critical road users from other detected objects. In IBCP, conflicts between CVs and critical road users are anticipated so that the CVs can react in advance. We use experimental data and simulation to evaluate the benefits of the proposed protocol compared to the non-cooperative case for an ego vehicle making a left turn through an intersection with an occlusion.
基于意图共享信息的协同感知
本文提出并研究了基于意图的车联网协同感知(IBCP)的概念。在IBCP中,连接的自我车辆与远程连接的道路用户(例如,其他连接的车辆(cv)和基础设施)共享其预定路径和机动。然后,这些远程连接的道路使用者处理自我车辆的意图,并使用车载传感器检测可能与自我车辆发生冲突的关键道路使用者。一旦检测到潜在冲突,远程连接的道路用户发送通知,与ego车辆共享关键道路用户的信息。因此,IBCP是一种基于事件的协作感知服务,由预测的事件(冲突)驱动。IBCP补充了传统的合作感知,即以周期性的速率发送消息,而不区分关键的道路使用者和其他检测对象。在IBCP中,cv和关键道路使用者之间的冲突被预测到,因此cv可以提前做出反应。我们使用实验数据和仿真来评估与非合作情况相比,所提出的协议在通过遮挡的十字路口左转时的优势。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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