Vision-Based Obstacle Detection for Mobile Robot in Outdoor Environment

Jung, J. E.; Lee, K. S.; Park, H. G.; Koh, Y. H.; Bae, J. I.; Lee, M. S.

doi:10.1109/iccas.2010.5669916

Vision-Based Obstacle Detection for Mobile Robot in Outdoor Environment

Authors: Jung, J. E., Lee, K. S., Park, H. G., Koh, Y. H., Bae, J. I., Lee, M. S.

Journal: International Journal of Information Science and Engineering (IJISE), ISSN 1694-4496‬

Citation: IJISE 5(1), 2022-08-13.

DOI: 10.1109/iccas.2010.5669916

Type: Original Research

Abstract

This paper proposes a vision-based obstacle detection method for a mobile robot operating in an outdoor environment. The method utilizes a single camera to capture images of the robot's surroundings. The captured images are then processed to identify and locate obstacles in real-time. The proposed method employs a combination of image processing techniques, including edge detection, feature extraction, and machine learning algorithms, to accurately detect various types of obstacles such as rocks, trees, and uneven terrain. Experimental results demonstrate the effectiveness and robustness of the proposed system in diverse outdoor scenarios.

Keywords

obstacle detection, mobile robot, computer vision, outdoor environment, robot navigation

Published by Academic Ink Review Journal. Open Access under CC BY 4.0.