Vehicles detection using sensor fusion

Hiroomi Takizawa, Kenichi Yamada, Toshio Ito

Research output: Contribution to conferencePaper

20 Citations (Scopus)

Abstract

The sensor fusion method is more robust than the method by using a single sensor. So sensor fusion is effective to vehicle recognition at complex scene. But, if each sensing data processed individually for most stage, recognition performance is not always good. In this paper, we propose the extensible and generalized fusion method. First, fusion vector which is combined between image sensor data and laser radar data at primitive level is prepared. We regard fusion vector as sensing data by one robust sensor. Next, fusion vector is compared with discriminated dictionary. We report efficiency of our method at complex scene which recognition error tend to occur by using a single sensor.

Original languageEnglish
Pages238-243
Number of pages6
Publication statusPublished - 2004 Sep 27
Event2004 IEEE Intelligent Vehicles Symposium - Parma, Italy
Duration: 2004 Jun 142004 Jun 17

Conference

Conference2004 IEEE Intelligent Vehicles Symposium
CountryItaly
CityParma
Period04/6/1404/6/17

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ASJC Scopus subject areas

  • Modelling and Simulation
  • Automotive Engineering
  • Computer Science Applications

Cite this

Takizawa, H., Yamada, K., & Ito, T. (2004). Vehicles detection using sensor fusion. 238-243. Paper presented at 2004 IEEE Intelligent Vehicles Symposium, Parma, Italy.