Cut-in vehicle recognition system

Author

Morizane, Hiroto ; Takenaga, Hiroshi ; Kobayashi, Yoshiki ; Nakamura, Kouzou

Author_Institution

Res. Lab., Hitachi Ltd., Japan

fYear

1999

fDate

6/21/1905 12:00:00 AM

Firstpage

976

Lastpage

980

Abstract

We developed a cut-in vehicle recognition system which uses image processing to cover the blind spot of the radar in the adaptive cruise control system. The developed recognition algorithm consists of two parts: the vehicle detection part and the vehicle tracking part. In the vehicle detection part, we used the density histogram of a differential image and pattern matching with a vehicle feature to decrease detection errors. In the vehicle tracking part, we renewed the pattern of a detected vehicle in proportion to vehicle size change. We evaluated the developed cut-in vehicle recognition algorithm and obtained a processing time of 52 ms and recognition rate of 92%

Keywords

adaptive control; automated highways; object recognition; pattern matching; safety; velocity control; blind spot; cut-in vehicle recognition system; density histogram; detection errors; differential image; vehicle detection; vehicle tracking; Adaptive control; Adaptive systems; Control systems; Histograms; Image processing; Image recognition; Programmable control; Radar imaging; Radar tracking; Vehicle detection;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Transportation Systems, 1999. Proceedings. 1999 IEEE/IEEJ/JSAI International Conference on

Conference_Location

Tokyo

Print_ISBN

0-7803-4975-X

Type

conf

DOI

10.1109/ITSC.1999.821196

Filename

821196