Preceding vehicle recognition algorithm using fusion of laser radar and image processing

T. Ito, K. Yamada, K. Nishioka

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)


Recognizing preceding vehicles and measuring distance headway are very important technologies for advanced vehicle control such as collision avoidance systems and automated driving systems. Typical methods to realize these technologies are using a laser radar and an image processing. Those two methods have complemental characters. That is, distance data are easily obtained but recognition of vehicles are required various techniques by use of the laser radar, and to recognize vehicles is rather easy by use of image processing. We are developing a fusion system combined those characteristic properties of laser radar and image processing. This system recognizes preceding vehicle positions and measures distance data using the laser radar, and improves certainty of the recognition results. This paper presents a general structure of this fusion system, and algorithms for recognizing and chasing vehicles. Details about original fast tracking algorithms are described.

Original languageEnglish
Title of host publicationProceedings of the Intelligent Vehicles 1993 Symposium, IV 1993
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages6
ISBN (Electronic)0780313704
Publication statusPublished - 1993
Externally publishedYes
Event1993 Intelligent Vehicles Symposium, IV 1993 - Tokyo, Japan
Duration: 1993 Jul 141993 Jul 16

Publication series

NameIEEE Intelligent Vehicles Symposium, Proceedings


Conference1993 Intelligent Vehicles Symposium, IV 1993

ASJC Scopus subject areas

  • Computer Science Applications
  • Automotive Engineering
  • Modelling and Simulation


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