DocumentCode :
478501
Title :
Omnidirectional Vision Tracking and Positioning for Vehicles
Author :
Feng, Weijia ; Liu, Yuli ; Cao, Zuoliang
Author_Institution :
Sch. of Mech. Eng., Tianjin Univ. of Technol., Tianjin
Volume :
6
fYear :
2008
fDate :
18-20 Oct. 2008
Firstpage :
183
Lastpage :
187
Abstract :
The target recognition, beacon tracking and object localization based on omni-directional vision (omni-vision) system are introduced in this paper. The development of omni-vision appears to have definite advantages for the performance of the mobile systems and real time control. We use a fisheye lens with the view angle of 185deg to build the omnidirectional vision system. A prototype of the unique landmark navigator for autonomous guided vehicle (AGV) based on the omni-vision system is presented. The special landmark integrates with spatial, color and shape features. Color features are extracted by the HSI color model. An omni-vision object tracking method based on improved mean shift algorithm is proposed. The positioning method just employs the view angle to the landmarks on geometric computation to estimate the position and orientation of the vehicle. The software flow chart based on the image process algorithm is provided. The hardware for an on-board navigator is fulfilled on the DM642 platform. The functions have been demonstrated in the laboratory experiments.
Keywords :
feature extraction; image colour analysis; mobile robots; navigation; object recognition; target tracking; vehicles; AGV; DM642 platform; HSI color model; autonomous guided vehicle; beacon tracking; fisheye lens; image process algorithm; mean shift algorithm; mobile systems; object localization; omnidirectional positioning; omnidirectional vision system; omnidirectional vision tracking; real time control; software flow chart; target recognition; Control systems; Lenses; Machine vision; Mobile robots; Navigation; Prototypes; Real time systems; Remotely operated vehicles; Target recognition; Target tracking; Omnidirectional Vision; Positioning; Target recognition; Tracking;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Natural Computation, 2008. ICNC '08. Fourth International Conference on
Conference_Location :
Jinan
Print_ISBN :
978-0-7695-3304-9
Type :
conf
DOI :
10.1109/ICNC.2008.737
Filename :
4667826
Link To Document :
بازگشت