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Prof. Adly Shahat Mergany Tag eldien :: Publications:

Title:
Vision Based Obstacle Detection for a Mobile Robot
Authors: 14- Basem M. ElHalwany Hala M. Abdel-Kader Adly TagEldeen Alaa Eldeen Elsayed Zaki B, Nossar
Year: 2012
Keywords: Not Available
Journal: The 8th International Conference on INFOrmatics and Systems (INFOS2012) – 14-16 May Computational Intelligence and Multimedia Computing Track MM_15
Volume: Not Available
Issue: Not Available
Pages: 96-102
Publisher: Not Available
Local/International: International
Paper Link: Not Available
Full paper adly Shahat Mergany tag eldien_vission based.pdf
Supplementary materials Not Available
Abstract:

Vision-based robot navigation systems allow a robot to explore and to navigate in its environment in a way that facilitates path planning and goal-oriented tasks. The vision sensor is mainly used for obstacle detection and avoidance, object detection and tracking, and interaction with users. Usually these systems do not depend solely on vision sensors but use other sensors like sonar and laser range finder. The paper considers an important issue for mobile robots navigation. This issue is the detection of obstacles in front of the robot within a corridor. We proposed and evaluated three algorithms for obstacle detection within a corridor environment using image processing techniques

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