DocumentCode :
2941767
Title :
A Robust Visual Odometry and Precipice Detection System Using Consumer-grade Monocular Vision
Author :
Campbell, Jason ; Sukthankar, Rahul ; Nourbakhsh, Illah ; Pahwa, Aroon
Author_Institution :
Intel Research Pittsburgh Pittsburgh, PA USA; Carnegie Mellon University Pittsburgh, PA USA; jasoncam@ri.cmu.edu
fYear :
2005
fDate :
18-22 April 2005
Firstpage :
3421
Lastpage :
3427
Abstract :
We describe a monocular robot vision system which accomplishes accurate 3-DOF dead-reckoning, closed loop motion control, and precipice and obstacle detection, all in dynamic environments, using a single, consumer-grade web cam and typical laptop computer hardware. Simultaneous translation and rotation are accurately measured, and the camera need not be placed at the robot’s center of rotation. The algorithm is straightforward to implement and robust to noisy measurements. The software is based on open source computer vision libraries and is itself open source. It has been tested in a wide variety of real-world environments and on several different mobile robot platforms.
Keywords :
mobile robot vision; mobile robotics; odometry; optical flow; Cameras; Computer vision; Hardware; Motion control; Motion detection; Portable computers; Robot vision systems; Robustness; Rotation measurement; Working environment noise; mobile robot vision; mobile robotics; odometry; optical flow;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Robotics and Automation, 2005. ICRA 2005. Proceedings of the 2005 IEEE International Conference on
Print_ISBN :
0-7803-8914-X
Type :
conf
DOI :
10.1109/ROBOT.2005.1570639
Filename :
1570639
Link To Document :
بازگشت