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Track and Obstacle Detection with USB Camera for Vision-Based Automated Guided Vehicle

Sulaiman S., and Marizan S., and Najib S.S.S., and Fahmi M.M., (2007) Track and Obstacle Detection with USB Camera for Vision-Based Automated Guided Vehicle. Journal of Advanced manufacturing Technology, Vol. 1 (No. 1). pp. 49-60. ISSN 1985-3157

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Official URL: http://www.utem.edu.my

Affiliations

Faculty of Electrical Engineering

Abstract

This paper describes a low cost tracking system and obstacle detection with Universal Serial Bus (USB) camera for Vision-based Automated Guided Vehicle (V-AGV). By using Machine Vision Software, the visual information obtained from the USB camera will be processed using image processing techniques such as Region of Interest, smoothing and edge detection for detecting tracks and obstacle(s) that might appear on the navigational track system. Algorithms that can be used for V-AGV navigation without collision are suggested. The distance between V-AGV and obstacle, the size, and height of the obstacle can also be measured using a single USB camera. Using the advantages available in the software, the result from some experiments are presented.

Item Type:Journal
Keywords:Vision-based Autonomous Guided Vehicle, Guideline Navigation, Obstacle Detection, USB Camera, Machine Vision Application
Subjects:T Technology, Engineering
ID Code:8019

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Technology, Johor, Malaysia, 2006.

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