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Adaptive Obstacle Detection and Avoidance on a Mobile Robot Using Depth Images

Smit, H (2011) Adaptive Obstacle Detection and Avoidance on a Mobile Robot Using Depth Images. Bachelor's Thesis, Artificial Intelligence.

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Abstract

One of the most important parts in mobile robotics is the navigation of the robot trough the environment. Essential for robot navigation is the detection and avoidance of obstacles in real-time. Many solutions to this problem have been found using all sorts of sensor devices and algorithms. This article will provide an implementation to achieve obstacle detection and avoidance using the Kinect sensor. Using an offline procedure, the obstacle detection module will be provided with essential information about the environment to make it run online at low computational effort. Obstacle avoidance will be achieved by potential field navigation using the detected obstacles.

Item Type: Thesis (Bachelor's Thesis)
Degree programme: Artificial Intelligence
Thesis type: Bachelor's Thesis
Language: English
Date Deposited: 15 Feb 2018 07:46
Last Modified: 15 Feb 2018 07:46
URI: http://fse.studenttheses.ub.rug.nl/id/eprint/9722

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