DocumentCode :
3624100
Title :
Vision-based robot navigation in the 3D world
Author :
L. Preucil;J. Vasek;J. Martinek;R. Marik;R. Sara
Author_Institution :
Dept. of Control Eng., Czech Tech. Univ., Prague, Czech Republic
fYear :
1993
Firstpage :
200
Lastpage :
204
Abstract :
The authors bring a robust approach to the solution of robot navigation in the 3-D environment utilizing visual information. The presented approach aims to enable a robot to process the scene image, gathered by a monocular camera, in order to recognize objects of the constrained 3-D environment. When the positions of the scene objects are known, the recognition process provides the information about robot position and orientation in the scene.
Keywords :
"Robot vision systems","Navigation","Layout","Cameras","Solid modeling","Image recognition","Noise robustness","Image segmentation","Calibration","Shape"
Publisher :
ieee
Conference_Titel :
AI, Simulation, and Planning in High Autonomy Systems, 1993. Integrating Virtual Reality and Model-Based Environments. Proceedings. Fourth Annual Conference
Print_ISBN :
0-8186-4020-0
Type :
conf
DOI :
10.1109/AIHAS.1993.410595
Filename :
410595
Link To Document :
بازگشت