NDLI: A Moving Object Tracked by A Mobile Robot with Real-Time Obstacles Avoidance Capacity

Content Provider	IEEE Xplore Digital Library
Author	Chung-Hao Chen Chang Cheng Page, D. Koschan, A. Abidi, M.
Copyright Year	2006
Description	Author affiliation: Dept. of Electr. & Comput. Eng., Tennessee Univ., Knoxville, TN (Chung-Hao Chen; Chang Cheng; Page, D.; Koschan, A.; Abidi, M.)
Abstract	This paper describes a robotic application that tracks a moving object by utilizing a mobile robot with multiple sensors. The robotic platform uses a visual camera to sense the movement of the desired object and a range sensor to help the robot detect and then avoid obstacles in real time while continuing to track and follow the desired object. In terms of real-time obstacle avoidance capacity, this paper also presents a modified potential field algorithm called dynamic goal potential field algorithm (DGPF) for this robotic application specifically. Experimental results show that the robotic and intelligent system can fulfill the requirements of tracking an object and avoiding obstacles simultaneously when the object is moving
Sponsorship	IEEE CPS
Starting Page	1091
Ending Page	1094
File Size	153634
Page Count	4
File Format	PDF
ISBN	0769525210
ISSN	10514651
DOI	10.1109/ICPR.2006.106
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-08-20
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Mobile robots Robot sensing systems Intelligent robots Sensor phenomena and characterization Robot vision systems Cameras Object detection Tracking Heuristic algorithms Intelligent systems
Content Type	Text
Resource Type	Article
Subject	Computer Vision and Pattern Recognition

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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