TY - GEN
T1 - Vision-Based Basic Safety Message (BSM) Broadcasting System
AU - Lin, Tai You
AU - Peng, Cheng Wei
AU - Hsu, Chen Chien
N1 - Funding Information:
ACKNOWLEDGMENT This work was financially supported by the “Chinese Language and Technology Center” of National Taiwan Normal University (NTNU) from The Featured Areas Research Center Program within the framework of the Higher Education Sprout Project by the Ministry of Education (MOE) in Taiwan, and Ministry of Science and Technology, Taiwan, under Grants no. MOST 110-2221-E-003-019, MOST 110-2221-E-003-020-MY2, and MOST 110-2634-F-A49-004 through Pervasive Artificial Intelligence Research (PAIR) Labs. We are grateful to the National Center for High-performance Computing for computer time and facilities to conduct this research.
Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - With the growing demands from smart city services, development of intelligent transportation systems has become a popular research field. In this work, we proposed a vision-based basic safety message (BSM) broadcasting system based on SAE J2735 through 3GPP 4G-LTE eMBMS broadcasting technique. Publicly available open government CCTV video data were firstly adopted as the detection source. Through a designed workflow, detection and tracking of the vehicles in the videos can be obtained by YOLOv5x and DeepSORT, respectively. Hence, the speed, location, and ID of each vehicle can be calculated by a BSM generation algorithm to obtain the content elements in SAE J2735 basic safety message. According to the experimental result, the speed and location information can be well transmitted and displayed on the mobile edge device. We expect that the proposed work can be widely applied in ITS applications, benefiting future smart city implementations.
AB - With the growing demands from smart city services, development of intelligent transportation systems has become a popular research field. In this work, we proposed a vision-based basic safety message (BSM) broadcasting system based on SAE J2735 through 3GPP 4G-LTE eMBMS broadcasting technique. Publicly available open government CCTV video data were firstly adopted as the detection source. Through a designed workflow, detection and tracking of the vehicles in the videos can be obtained by YOLOv5x and DeepSORT, respectively. Hence, the speed, location, and ID of each vehicle can be calculated by a BSM generation algorithm to obtain the content elements in SAE J2735 basic safety message. According to the experimental result, the speed and location information can be well transmitted and displayed on the mobile edge device. We expect that the proposed work can be widely applied in ITS applications, benefiting future smart city implementations.
KW - Basic Safety Message
KW - CNN
KW - eMBMS
KW - ITS
UR - http://www.scopus.com/inward/record.url?scp=85149101876&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85149101876&partnerID=8YFLogxK
U2 - 10.1109/ICCE56470.2023.10043461
DO - 10.1109/ICCE56470.2023.10043461
M3 - Conference contribution
AN - SCOPUS:85149101876
T3 - Digest of Technical Papers - IEEE International Conference on Consumer Electronics
BT - 2023 IEEE International Conference on Consumer Electronics, ICCE 2023
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2023 IEEE International Conference on Consumer Electronics, ICCE 2023
Y2 - 6 January 2023 through 8 January 2023
ER -
