Obstacle detection and avoidance on a mobile robotic platform using active depth sensing
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Authors
Calibo, Taylor K.
Subjects
Mobile Robotics
Xbox Kinect
Obstacle Avoidance
P3-DX
Potential Fields
MATLAB
Xbox Kinect
Obstacle Avoidance
P3-DX
Potential Fields
MATLAB
Advisors
Yun, Xiaoping
Date of Issue
2014-06
Date
Jun-14
Publisher
Monterey, California: Naval Postgraduate School
Language
Abstract
The ability to recognize and navigate surrounding environments free from collision with obstacles has been at the forefront of mobile robotic applications since its inception. At the price of nearly one tenth of a laser range finder, the Xbox Kinect uses an infrared projector and camera to capture images of its environment in three dimensions. The objective of this thesis was to investigate if the Xbox Kinect can be utilized to detect thin or narrow obstacles that are often invisible to the P3-DX mobile robotic platform. We present an algorithm to process and analyze point cloud data from the Xbox Kinect sensor and transform it into a two-dimensional map of the surrounding environment for further use with the P3-DX. Obstacle avoidance scenarios were then performed using two separate algorithms: a narrow corridor following algorithm and a potential fields algorithm. The results demonstrate that in a structured testing environment, the Xbox Kinect can be used to detect and avoid narrow obstacles that are not immediately recognized by the onboard sonar array of the P3-DX.
Type
Thesis
Description
Series/Report No
Department
Electrical and Computer Engineering
Organization
Identifiers
NPS Report Number
Sponsors
Funder
Format
Citation
Distribution Statement
Approved for public release; distribution is unlimited.
Rights
This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.