DocumentCode :
2799823
Title :
Obstacle detection and classification fusing radar and vision
Author :
Bertozzi, M. ; Bombini, L. ; Cerri, P. ; Medici, P. ; Antonello, P.C. ; Miglietta, M.
Author_Institution :
VisLab, Univ. degli Studi di Parma, Parma
fYear :
2008
fDate :
4-6 June 2008
Firstpage :
608
Lastpage :
613
Abstract :
This paper presents a system whose aim is to detect and classify road obstacles, like pedestrians and vehicles, by fusing data coming from different sensors: a camera, a radar, and an inertial sensor. The camera is mainly used to refine the vehiclespsila boundaries detected by the radar and to discard those who might be false positives; at the same time, a symmetry based pedestrian detection algorithm is executed, and its results are merged with a set of regions of interest, provided by a Motion Stereo technique.
Keywords :
cameras; image classification; image motion analysis; object detection; road vehicle radar; sensor fusion; traffic engineering computing; APALACI-PReVENT European IP final demonstration; camera; inertial sensor; motion stereo technique; obstacle classification; obstacle detection; pedestrian detection algorithm; radar; road obstacles; Cameras; Detection algorithms; Layout; Motion detection; Object detection; Radar detection; Radar tracking; Road safety; Sensor systems; Vehicle detection;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Vehicles Symposium, 2008 IEEE
Conference_Location :
Eindhoven
ISSN :
1931-0587
Print_ISBN :
978-1-4244-2568-6
Electronic_ISBN :
1931-0587
Type :
conf
DOI :
10.1109/IVS.2008.4621304
Filename :
4621304
Link To Document :
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