File:INSECT-INSPIRED MINIATURE AIR VEHICLE OBSTACLE DETECTION (IA insectinspiredmi1094563452).pdf
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Summary[edit]
INSECT-INSPIRED MINIATURE AIR VEHICLE OBSTACLE DETECTION
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| Author |
Funni, David A. |
| Title |
INSECT-INSPIRED MINIATURE AIR VEHICLE OBSTACLE DETECTION |
| Publisher |
Monterey, CA; Naval Postgraduate School |
| Description |
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. Subjects: unmanned; MAV; optical flow; computer vision; monocular vision; EMD |
| Language | English |
| Publication date | September 2019 |
| Current location |
IA Collections: navalpostgraduateschoollibrary; fedlink |
| Accession number |
insectinspiredmi1094563452 |
| Source | |
| Permission (Reusing this file) |
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. |
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This work is in the public domain in the United States because it is a work prepared by an officer or employee of the United States Government as part of that person’s official duties under the terms of Title 17, Chapter 1, Section 105 of the US Code.
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| This file has been identified as being free of known restrictions under copyright law, including all related and neighboring rights. | ||
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| Date/Time | Thumbnail | Dimensions | User | Comment | |
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| current | 02:39, 22 July 2020 |  | 1,275 × 1,650, 78 pages (10.32 MB) | Fæ (talk | contribs) | FEDLINK - United States Federal Collection insectinspiredmi1094563452 (User talk:Fæ/IA books#Fork8) (batch 1993-2020 #18891) |
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