AutowareV2X: Reliable V2X Communication and Collective Perception for Autonomous Driving

被引:20
作者
Asabe, Yu [1 ]
Javanmardi, Ehsan [1 ]
Nakazato, Jin [1 ]
Tsukada, Manabu [1 ]
Esaki, Hiroshi [1 ]
机构
[1] Univ Tokyo, Grad Sch Informat Sci & Technol, Tokyo, Japan
来源
2023 IEEE 97TH VEHICULAR TECHNOLOGY CONFERENCE, VTC2023-SPRING | 2023年
关键词
Cooperative ITS; V2X; Cooperative perception; Autonomous vehicle; Open-source software; Proof-of-Concept;
D O I
10.1109/VTC2023-Spring57618.2023.10199425
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
For cooperative intelligent transport systems (CITS), vehicle-to-everything (V2X) communication is utilized to allow autonomous vehicles to share critical information with each other. We propose AutowareV2X, an implementation of a V2X communication module that is integrated into the autonomous driving (AD) software, Autoware. AutowareV2X provides external connectivity to the entire AD stack, enabling the end-to-end (E2E) experimentation and evaluation of connected autonomous vehicles (CAV). The Collective Perception Service was also implemented, allowing the transmission of Collective Perception Messages (CPMs). A dual-channel mechanism that enables wireless link redundancy on the critical object information shared by CPMs is also proposed. Performance evaluation in field experiments has indicated that the CPM-based perception information can be transmitted in around 30 ms, and shared object data can be used by the AD software to conduct collision avoidance maneuvers. The dual-channel delivery of CPMs transmits perception information through two different wireless technologies. The receiver-side CAV can then dynamically select the best CPM from CPMs received from both links, depending on the freshness of their information.
引用
收藏
页数:7
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