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This paper describes a robotic application that tracks a moving object by utilizing a mobile robot with sensors and image processing. 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 detect and follow the desired object. In terms of real-time obstacle avoidance capacity, this paper also presents an algorithm for this robotic application specifically. Experimental results show that the robotic and intelligent system can fulfill the requirements for detecting an object and avoiding obstacles simultaneously.
Nikhil Lende. 2012. \u201cMobile Robot for Object Detection Using Image Processing\u201d. Global Journal of Computer Science and Technology - D: Neural & AI GJCST-D Volume 12 (GJCST Volume 12 Issue D11).
Crossref Journal DOI 10.17406/gjcst
Print ISSN 0975-4350
e-ISSN 0975-4172
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Total Score: 109
Country: India
Subject: Global Journal of Computer Science and Technology - D: Neural & AI
Authors: Dr. Himanshu Borse, Amol Dumbare, Rohit Gaikwad, Nikhil Lende (PhD/Dr. count: 1)
View Count (all-time): 249
Total Views (Real + Logic): 10123
Total Downloads (simulated): 2525
Publish Date: 2012 09, Sat
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