DocumentCode :
2030865
Title :
Randomized planning for short inspection paths
Author :
Danner, T. ; Kavraki, L.E.
Author_Institution :
Dept. of Comput. Sci., Rice Univ., Houston, TX, USA
Volume :
2
fYear :
2000
fDate :
24-28 April 2000
Firstpage :
971
Abstract :
Addresses the following inspection problem: given a known workspace and a robot with vision capabilities compute a short path path for the robot such that each point on boundary of the workspace is visible from some point on the path. Autonomous inspection, such as by a flying camera, or a virtual reality architectural walkthrough, could be guided by a solution to the above inspection problem. Visibility constraints on both maximum viewing distance and maximum angle of incidence are considered to better model real sensors. An algorithm is presented for planar workspaces which operates in two steps: selecting art gallery-style guards and connecting them to form an inspection path. Experimental results for this algorithm are discussed. Next, the algorithm is extended to three dimensions and inspection paths are shown.
Keywords :
computational complexity; graph theory; optimisation; path planning; robot vision; robots; travelling salesman problems; art gallery-style guards; flying camera; maximum angle of incidence; maximum viewing distance; planar workspaces; randomized planning; short inspection paths; virtual reality architectural walkthrough; visibility constraint; vision capabilities; Art; Cameras; Computer science; Computer vision; Inspection; Joining processes; Path planning; Robot vision systems; Space stations; Virtual reality;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Robotics and Automation, 2000. Proceedings. ICRA '00. IEEE International Conference on
Conference_Location :
San Francisco, CA, USA
ISSN :
1050-4729
Print_ISBN :
0-7803-5886-4
Type :
conf
DOI :
10.1109/ROBOT.2000.844726
Filename :
844726
Link To Document :
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