Performance comparision of vehicular radar system between on-road and tunnel space

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

1 Scopus citations

Abstract

Recently, vehicular radar systems are widely adopted to monitor various traffic accident situations on the road. Although the radar provides real-time object detection and high accuracy, it suffers from severe performance degradations when it is surrounded by unexpected obstacles such as traffic barrier and road side wall. In this paper, in order to analyze these problems, we conduct performance comparisons of the vehicular radar system between open road space and enclosed tunnel space. Through the experiment results, we confirm that the radar system is highly affected by neighboring structures and buildings. In addition, we also reveal that the performance of the radar system can be improved by tuning the view angle and height when it is installed.

Original languageEnglish
Title of host publicationProceedings - 2016 5th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2016
EditorsAyako Hiramatsu, Tokuro Matsuo, Akimitsu Kanzaki, Norihisa Komoda
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1209-1210
Number of pages2
ISBN (Electronic)9781467389853
DOIs
StatePublished - 31 Aug 2016
Event5th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2016 - Kumamoto, Japan
Duration: 10 Jul 201614 Jul 2016

Publication series

NameProceedings - 2016 5th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2016

Conference

Conference5th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2016
Country/TerritoryJapan
CityKumamoto
Period10/07/1614/07/16

Bibliographical note

Publisher Copyright:
© 2016 IEEE.

Keywords

  • Accident Monitoring
  • Radar System
  • Road and Tunnel

Fingerprint

Dive into the research topics of 'Performance comparision of vehicular radar system between on-road and tunnel space'. Together they form a unique fingerprint.

Cite this