Onboard Locating System Using Real-Time Image Processing for a Self-Navigating Vehicle

Satoshi Murata, Takeshi Hirose

Research output: Contribution to journalArticlepeer-review

18 Citations (Scopus)

Abstract

This paper describes an onboard locating System for a self-navigating vehicle using signposts with bar codes placed along the routes. The locating system has two independent measuring subsystems. The first is a machine vision system composed of an onboard camera, an onboard image processing unit, and signposts. This subsystem measures location and direction of the vehicle by triangulation when the signposts are detected. The second is a dead-reckoning subsystem based on rotation counts of right and left wheels. Data from these two subsystems are systematically combined by an extended Kalman filter. The experimental results show that an accurate and smooth estimation of the location and direction of the vehicle is obtained by the system.

Original languageEnglish
Pages (from-to)145-154
Number of pages10
JournalIEEE Transactions on Industrial Electronics
Volume40
Issue number1
DOIs
Publication statusPublished - 1993 Jan 1
Externally publishedYes

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Electrical and Electronic Engineering

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