INSECT-INSPIRED MINIATURE AIR VEHICLE OBSTACLE DETECTION
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Authors
Funni, David A.
Subjects
unmanned
MAV
optical flow
computer vision
monocular vision
EMD
MAV
optical flow
computer vision
monocular vision
EMD
Advisors
Cristi, Roberto
Fargues, Monique P.
Date of Issue
2019-09
Date
Publisher
Monterey, CA; Naval Postgraduate School
Language
Abstract
In order to fly autonomously, micro air vehicles (MAV) must understand the surrounding three-dimensional environment. Due to size, weight, and power constraints, the collection and processing of environmental data must be done in the most efficient way possible. Biological and neurological research on insect vision has led to computationally inexpensive techniques for detecting the relative distance to objects. In this thesis we will develop and test an efficient implementation of these techniques to process video captured by a single camera sensor.
Type
Thesis
Description
Series/Report No
Department
Electrical and Computer Engineering (ECE)
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.