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Testing and Application of Expressway Roadside Perception Method Based on Camera-Radar Fusion

  • Beihang University
  • Beijing Sutong Technology Co. Ltd

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In order to test the performance and application effect of roadside perception method based on camera-radar fusion in the multi-source heterogeneous data environment of expressways, a camera-radar fusion perception algorithm is implemented and deployed in the Yanqing-Chongli intelligent expressway of China. Firstly, a fusion perception and positioning algorithm based on mmWave radar and camera was developed and deployed in the test nodes on the roadside facilities of the expressway. Secondly, the positioning accuracy of the algorithm was tested and analysed. Then the structured data results of the fusion perception algorithm are further analysed and processed to realize the management of target information library. Finally, some practical scenario applications have been proposed based on previous fusion perception results. The results show that the proposed algorithm can achieve lane level positioning and the deployed applications have achieved good results.

Original languageEnglish
Title of host publicationIntelligent Computing Technology and Automation - Proceedings of the 16th International Conference, ICICTA 2023
EditorsHou Zhixiang
PublisherIOS Press BV
Pages1022-1036
Number of pages15
ISBN (Electronic)9781643684864
DOIs
StatePublished - 31 Jan 2024
Event16th th International Conference on Intelligent Computing Technology and Automation, ICICTA 2023 - Xian, China
Duration: 24 Oct 202325 Oct 2023

Publication series

NameAdvances in Transdisciplinary Engineering
Volume47
ISSN (Print)2352-751X
ISSN (Electronic)2352-7528

Conference

Conference16th th International Conference on Intelligent Computing Technology and Automation, ICICTA 2023
Country/TerritoryChina
CityXian
Period24/10/2325/10/23

Keywords

  • camera-radar fusion
  • expressway roadside perception
  • positioning accuracy
  • scenario application
  • target information library

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