Vehicle axle counting using two LIDARs for toll collection systems

Toshio Sato, Yasuhiro Aoki, Yasuhiro Takebayashi

Research output: Contribution to conferencePaperpeer-review

1 Citation (Scopus)

Abstract

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.

Original languageEnglish
Publication statusPublished - 2014
Externally publishedYes
Event21st World Congress on Intelligent Transport Systems: Reinventing Transportation in Our Connected World, ITSWC 2014 - Detroit, United States
Duration: 2014 Sep 72014 Sep 11

Conference

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

Keywords

  • Axle counting
  • LIDAR
  • Toll collection system
  • Vehicle detection
  • Wheel detection

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Mechanical Engineering
  • Automotive Engineering
  • Transportation
  • Electrical and Electronic Engineering

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