Building an SDVN Framework for RSU-Centric Cooperative Perception with Heterogeneous V2X

被引:6
作者
Li, Zongdian [1 ]
Yu, Tao [1 ]
Suzuki, Taisei [1 ]
Sakaguchi, Kei [1 ]
机构
[1] Tokyo Inst Technol, Tokyo, Japan
来源
2023 IEEE 20TH CONSUMER COMMUNICATIONS & NETWORKING CONFERENCE, CCNC | 2023年
基金
日本科学技术振兴机构;
关键词
RSU; cooperative perception; V2X; SDVN;
D O I
10.1109/CCNC51644.2023.10060139
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
In Cooperative Intelligent Transportation System (C-ITS), cooperative perception emerges as a core application empowered by Vehicle-to-Everything (V2X) communications to improve road safety. Connected vehicles are able to share and receive sensor information from any other V2X-capable facilities. While most research interests lie in the utilization and integration of V2X data inside the connected vehicle systems, we stress the importance of understanding the unique role of roadside units (RSUs) for cooperative perception, as well as appropriate strategies for them to deliver this application. To that end, we designed an SDVN-based cooperative perception framework running on RSUs. By leveraging Dedicated Short-Range Communications (DSRC) and Millimeter Wave (mmWave) V2X, this framework system can adaptively support message-based cooperative perception and raw sensor data-based cooperative perception. In addition, we propose a DSRC-triggered dynamic sensor ON/OFF strategy to improve energy efficiency and RSU scheduling flexibility. The field trial results agree well with our design expectations, i.e., small delay for activation (<= 30 ms), significant power reduction (similar to 60%), and good scalability.
引用
收藏
页数:7
相关论文
共 32 条
[1]  
[Anonymous], 1999, IEEE Std 802.11
[2]  
[Anonymous], 2015, 22886V100 3GPP TR
[3]  
[Anonymous], 2021, 103324V0022 ETSIT TS
[4]   Cooperative Perception for 3D Object Detection in Driving Scenarios Using Infrastructure Sensors [J].
Arnold, Eduardo ;
Dianati, Mehrdad ;
de Temple, Robert ;
Fallah, Saber .
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2022, 23 (03) :1852-1864
[5]  
Autoware Fundation, US
[6]  
buffalo, BUFFALO WAPM 1266WDP
[7]   Software-Defined Vehicular Networking: Opportunities and Challenges [J].
Cardona, Nelson ;
Coronado, Estefania ;
Latre, Steven ;
Riggio, Roberto ;
Marquez-Barja, Johann M. .
IEEE ACCESS, 2020, 8 :219971-219995
[8]   F-Cooper: Feature based Cooperative Perception for Autonomous Vehicle Edge Computing System Using 3D Point Clouds [J].
Chen, Qi ;
Ma, Xu ;
Tang, Sihai ;
Guo, Jingda ;
Yang, Qing ;
Fu, Song .
SEC'19: PROCEEDINGS OF THE 4TH ACM/IEEE SYMPOSIUM ON EDGE COMPUTING, 2019, :88-100
[9]  
cohdawireless, COHDA MK6 RSU
[10]   COOPERNAUT: End-to-End Driving with Cooperative Perception for Networked Vehicles [J].
Cui, Jiaxun ;
Qiu, Hang ;
Chen, Dian ;
Stone, Peter ;
Zhu, Yuke .
2022 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2022), 2022, :17231-17241