论文标题
跟踪基于集体感知消息的基于准确性的生成规则
Tracking Accuracy Based Generation Rules of Collective Perception Messages
论文作者
论文摘要
集体感知服务（CPS）通过交换站点之间的跟踪信息来增强智能运输系统站（ITS-S）的环境意识。随着CP的市场渗透率的增长，有限的通信资源的智能分配变得越来越具有挑战性。为了解决此问题，ETSI CPS提出了基于动态的对象选择，以生成集体感知消息。但是，这种方法有限制，几乎不考虑检测准确性以及在传输范围内其他ITS-SS的最新信息。我们展示了一项建议，考虑到当前环境中的当前对象跟踪准确性以及其他电台收到的消息的对象跟踪，以便明智地决定是否将对象包括在CPM中。该算法根据本地和V2X跟踪精度之间的相对熵决定，如果对象信息对于附近的站点很有价值。根据其G5标准，我们的仿真表明，基于ETSI规则的生成，可以通过基于准确的CPM来降低通道繁忙比率（CBR），同时改善对象跟踪准确性（OTA）。
The Collective Perception Service (CPS) enables the enhancement of environmental awareness of Intelligent Transport System Stations (ITS-S) through the exchange of tracking information between stations. As the market penetration of CPS is growing, the intelligent distribution of the limited communication resources becomes more and more challenging. To address this problem, the ETSI CPS proposes dynamic-based object selection to generate Collective Perception Messages. However, this approach has limits and barely considers detection accuracy and the recent information available at other ITS-Ss in the transmission range. We show a proposal considering the current object tracking accuracy in the local environment and the object tracking from messages received by other stations in order to intelligently decide whether to include an object in a CPM. The algorithm decides based on the relative entropy between the local and V2X tracking accuracy if the object information is valuable for the nearby stations. Our simulation according to the ITS-G5 standard shows that the Channel Busy Ratio (CBR) can be reduced with accuracy-based generation of CPM while improving Object Tracking Accuracy (OTA) compared to generation based on ETSI rules.
