Fusion of a camera and a laser range sensor for vehicle recognition

Author

Mohottala, Shirmila ; Ono, Shintaro ; Kagesawa, Masataka ; Ikeuchi, Katsushi

Author_Institution

Inst. of Ind. Sci., Univ. of Tokyo, Tokyo, Japan

fYear

2009

fDate

20-25 June 2009

Firstpage

16

Lastpage

23

Abstract

This paper presents a system that fuses data from a vision sensor and a laser sensor for detection and classification. Fusion of a vision sensor and a laser range sensor enables us to obtain 3D information of an object together with its textures, offering high reliability and robustness to outdoor conditions. To evaluate the performance of the system, it is applied to recognition of on-street parked vehicles scanned from a moving probe vehicle. The evaluation experiments show obviously successful results, with a detection rate of 100% and an accuracy over 95% in recognizing four vehicle classes.

Keywords

image classification; image recognition; image texture; object detection; sensor fusion; traffic engineering computing; camera fusion; image classification; image detection; image texture; laser range sensor; moving probe vehicle; on-street parked vehicles; vehicle recognition; vision sensor; Cameras; Data mining; Laser fusion; Laser modes; Laser theory; Roads; Robustness; Sensor fusion; Sensor systems; Vehicle detection;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Vision and Pattern Recognition Workshops, 2009. CVPR Workshops 2009. IEEE Computer Society Conference on

Conference_Location

Miami, FL

ISSN

2160-7508

Print_ISBN

978-1-4244-3994-2

Type

conf

DOI

10.1109/CVPRW.2009.5204099

Filename

5204099