Vehicle axle counting using two LIDARs for toll collection systems

Toshio Sato, Yasuhiro Aoki, Yasuhiro Takebayashi

研究成果: Paper査読

2 被引用数 (Scopus)

抄録

We propose vehicle wheel detection and axle counting techniques using LIDARs (Laser Imaging Direction and Ranging) for toll collection systems. Commonly-available LIDARs have insufficient scan speeds to count axles for high-speed vehicles. We install two LIDARs at left and right sides of the road to compensate for low scanning resolution. Range data of LIDARs are transformed into orthogonal coordinates that represent the depth from the LIDARs and the height from the road surface. Wheel candidates are extracted by using depth histograms above the road surface. The wheel candidates of two LIDARs are integrated and verified to reduce impacts of noises and missing data of wheel candidates. Experimental results using 206 transit data explain that our approach makes axle counting robust and reduces counting errors.

本文言語English
出版ステータスPublished - 2014
外部発表はい
イベント21st World Congress on Intelligent Transport Systems: Reinventing Transportation in Our Connected World, ITSWC 2014 - Detroit, United States
継続期間: 2014 9 72014 9 11

Conference

Conference21st World Congress on Intelligent Transport Systems: Reinventing Transportation in Our Connected World, ITSWC 2014
国/地域United States
CityDetroit
Period14/9/714/9/11

ASJC Scopus subject areas

  • 制御およびシステム工学
  • 機械工学
  • 自動車工学
  • 輸送
  • 電子工学および電気工学

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