Implementation of autonomous navigation and mapping using a laser line scanner on a tactical unmanned aerial vehicle
Loading...
Authors
Ardhaoui, Mejdi Ben.
Subjects
Artificial Intelligence
Obstacle Avoidance
Potential Field
Occupancy Grid
Quadrotor
MOOS-IvP;
Obstacle Avoidance
Potential Field
Occupancy Grid
Quadrotor
MOOS-IvP;
Advisors
Chung, Timothy H.
Date of Issue
2011-12
Date
December 2011
Publisher
Monterey, California. Naval Postgraduate School
Language
Abstract
The objective of this thesis is to investigate greater levels of autonomy in unmanned vehicles. This is accomplished by reviewing past literature about the developing of components of software architecture that are necessary for unmanned systems to achieve greater autonomy. The thesis presents implementation studies of existing sensor-based robotic navigation and mapping algorithms in both software and hardware, including a laser range finder, on a quadrotor unmanned aerial vehicle platform for real-time obstacle detection and avoidance. This effort is intended to lay the groundwork to begin critical evaluation of the strengths and weaknesses of the MOOS-IVP autonomy architecture and provide insight into what is necessary to achieve greater levels of intelligent autonomy in current and future unmanned systems.
Type
Thesis
Description
Series/Report No
Department
Computer Science (CS)
Organization
Identifiers
NPS Report Number
Sponsors
Funding
Format
xiv, 69 p. : col. ill. ; 28 cm.
Citation
Distribution Statement
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.