Vision-Based Basic Safety Message (BSM) Broadcasting System

Tai You Lin, Cheng Wei Peng, Chen Chien Hsu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)


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.

Original languageEnglish
Title of host publication2023 IEEE International Conference on Consumer Electronics, ICCE 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665491303
Publication statusPublished - 2023
Event2023 IEEE International Conference on Consumer Electronics, ICCE 2023 - Las Vegas, United States
Duration: 2023 Jan 62023 Jan 8

Publication series

NameDigest of Technical Papers - IEEE International Conference on Consumer Electronics
ISSN (Print)0747-668X


Conference2023 IEEE International Conference on Consumer Electronics, ICCE 2023
Country/TerritoryUnited States
CityLas Vegas


  • Basic Safety Message
  • CNN
  • ITS
  • eMBMS

ASJC Scopus subject areas

  • Industrial and Manufacturing Engineering
  • Electrical and Electronic Engineering


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