Parameter Selection and Radar Fusion for Tracking in Roadside Units

Kuan Cheng Yeh*, Chia Hsing Yang, Ming Chun Lee, Ta Sung Lee, Hsiang Hsuan Hung

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

1 Scopus citations


To enhance safety and efficiency in the traffic environment, developing intelligent transportation systems (ITSs) is of paramount importance. In ITSs, roadside units (RSUs) are critical components that enable the environment awareness and connectivity via using radar sensing and communications. In this paper, we focus on RSUs with multiple radar systems. Specifically, we propose a parameter selection method of multiple radar systems to enhance the overall sensing performance. Furthermore, since different radars provide different sensing and tracking results, to benefit from multiple radars, we propose fusion algorithms to integrate the tracking results of different radars. We use two commercial frequency-modulated continuous wave (FMCW) radars to conduct experiments at Hsinchu city in Taiwan. The experimental results validate that our proposed approaches can improve the overall sensing performance.

Original languageEnglish
Pages (from-to)855-863
Number of pages9
JournalIEICE Transactions on Communications
Issue number9
StatePublished - Sep 2023


  • intelligent transportation systems
  • multiple radar systems
  • roadside units
  • track-to-track fusion


Dive into the research topics of 'Parameter Selection and Radar Fusion for Tracking in Roadside Units'. Together they form a unique fingerprint.

Cite this