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Electro-Optical and Infrared Design ...

Cavanaugh, Richard,

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Electro-Optical and Infrared Design for Uncrewed Aerial System Collision Avoidance /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Electro-Optical and Infrared Design for Uncrewed Aerial System Collision Avoidance // Richard Cavanaugh.
Author:	Cavanaugh, Richard,
Description:	1 electronic resource (89 pages)
Notes:	Source: Masters Abstracts International, Volume: 85-11.
Contained By:	Masters Abstracts International85-11.
Subject:	Optics. -
Online resource:	https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=31295444
ISBN:	9798382605685

Electro-Optical and Infrared Design for Uncrewed Aerial System Collision Avoidance /
Cavanaugh, Richard,

Electro-Optical and Infrared Design for Uncrewed Aerial System Collision Avoidance /Richard Cavanaugh. - 1 electronic resource (89 pages)

Source: Masters Abstracts International, Volume: 85-11.

In recent decades, uncrewed aerial vehicle (UAV) technology has undergone repeated rapid advancements, enabling novel applications in civil, commercial, and scientific projects. Implementing UAV operations in each of these contexts requires the development of thorough safety systems for traffic management and collision avoidance. This is particularly true for beyond visual line-of-sight (BVLOS) operations, which require automated Detect and Avoid (DAA) Systems to recognize collision threats and direct avoidance maneuvers when necessary. EO/IR sensors are commonly employed by DAA systems, providing a low-weight and low-power means for capturing high resolution imagery of surrounding airspace.This thesis begins with a review of the history of the aircraft collision avoidance problem followed by an introduction to EO/IR system design. The historical review provides relevant regulatory and technological background for optical engineers who may be unaware of the context surrounding DAA technology. The technical review, then, provides DAA researchers who may be more familiar with other system components or sensing modalities with the necessary optical background to appreciate the contribution of the EO/IR study. After this introduction, plane-to-sky contrast is compared in the VIS (0.4 to 0.7 µm), SWIR (1 to 1.7 µm), MWIR (3 to 5 µm), and LWIR (8 to 14 µm) to determine which band is most sensitive to a C182 general aviation aircraft signal against a clear sky background. Contrast in the two reflective bands (VIS and SWIR) is determined in terms of equivalent reflectivity, and contrast in the two emissive bands (MWIR and LWIR) is determined in terms of equivalent blackbody temperature. Sensitivity data is then used alongside resolution specifications to estimate detection range performance using the Night Vision Integrated Performance Model (NVIPM). Results are extrapolated to a maritime atmosphere using the MODerate resolution atmospheric TRANsmission model (MODTRAN). The analysis of contrast, detection range-performance, and recommendations on band selection are provided for reference in the design of EO/IR systems for aircraft collision avoidance. Future research may study band performance at night, against other backgrounds (e.g. clouds, ocean, ground terrain), and over different elevation angles (±15° degrees).

English

ISBN: 9798382605685Subjects--Topical Terms:

517925
Optics.
Subjects--Index Terms:

Imaging science

Electro-Optical and Infrared Design for Uncrewed Aerial System Collision Avoidance /
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500 $a Source: Masters Abstracts International, Volume: 85-11.
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520 $a In recent decades, uncrewed aerial vehicle (UAV) technology has undergone repeated rapid advancements, enabling novel applications in civil, commercial, and scientific projects. Implementing UAV operations in each of these contexts requires the development of thorough safety systems for traffic management and collision avoidance. This is particularly true for beyond visual line-of-sight (BVLOS) operations, which require automated Detect and Avoid (DAA) Systems to recognize collision threats and direct avoidance maneuvers when necessary. EO/IR sensors are commonly employed by DAA systems, providing a low-weight and low-power means for capturing high resolution imagery of surrounding airspace.This thesis begins with a review of the history of the aircraft collision avoidance problem followed by an introduction to EO/IR system design. The historical review provides relevant regulatory and technological background for optical engineers who may be unaware of the context surrounding DAA technology. The technical review, then, provides DAA researchers who may be more familiar with other system components or sensing modalities with the necessary optical background to appreciate the contribution of the EO/IR study. After this introduction, plane-to-sky contrast is compared in the VIS (0.4 to 0.7 µm), SWIR (1 to 1.7 µm), MWIR (3 to 5 µm), and LWIR (8 to 14 µm) to determine which band is most sensitive to a C182 general aviation aircraft signal against a clear sky background. Contrast in the two reflective bands (VIS and SWIR) is determined in terms of equivalent reflectivity, and contrast in the two emissive bands (MWIR and LWIR) is determined in terms of equivalent blackbody temperature. Sensitivity data is then used alongside resolution specifications to estimate detection range performance using the Night Vision Integrated Performance Model (NVIPM). Results are extrapolated to a maritime atmosphere using the MODerate resolution atmospheric TRANsmission model (MODTRAN). The analysis of contrast, detection range-performance, and recommendations on band selection are provided for reference in the design of EO/IR systems for aircraft collision avoidance. Future research may study band performance at night, against other backgrounds (e.g. clouds, ocean, ground terrain), and over different elevation angles (±15° degrees).
546 $a English
590 $a School code: 0009
650 4 $a Optics. $3 517925
650 4 $a Remote sensing. $3 535394
650 4 $a Transportation. $3 555912
653 $a Imaging science
653 $a Infrared imaging
653 $a Uncrewed aerial vehicles
653 $a Aircraft collision
653 $a Traffic management
690 $a 0752
690 $a 0799
690 $a 0709
710 2 $a The University of Arizona. $b Optical Sciences. $e degree granting institution. $3 3815678
720 1 $a Driggers, Ronald G. $e degree supervisor.
773 0 $t Masters Abstracts International $g 85-11.
790 $a 0009
791 $a M.S.
792 $a 2024
856 4 0 $u https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=31295444