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Edge Processing of Image for UAS Sense and Avoidance

Rave, Christopher J.
http://orcid.org/0000-0002-8314-1583
http://rave.ohiolink.edu/etdc/view?acc_num=wright1629811701618377

Abstract Details

2021, Master of Science (MS), Wright State University, Computer Science.
Today there is a large market for Unmanned Aerial Systems. Although most current systems are remotely piloted by operators on the ground, increasingly, many of these systems will use some sort of automatic flight controller to help mitigate new challenges, due to their deployment at growing scale. These challenges include, but are not limited to, shortage of FAA-certified UAS pilots, transmission bandwidth and delay constraints and cyber security threats associated with wireless networking, profitability of operations constrained by energy capacity and efficiency and air dynamics planning, and etc. In order to address these rising challenges, this thesis is a part of an effort to develop and test an on-board Sense and Avoid system for assisted and/or autonomous UAS operations. In particular, this work focuses on applying OpenCV and established computer vision algorithms to implement an object detection capability, which is a critical component of an Adaptive Two-Stage Edge-Centric Sense-and-Avoidance system. Additional efforts were made for integrating this capability into the overall system operations. Furthermore, two implements of the detection system are completed: one in C/C++ and the other in Python with an aim to compare their efficiency. It is found that both implements meet the real-time operation requirements, and experimental studies show little to no difference in processing time for object detection.
Yong Pei, Ph.D. (Advisor)
Mateen M. Rizki, Ph.D. (Committee Member)
Nicholas A. Speranza, Ph.D. (Committee Member)
35 p.
Computer Engineering; Computer Science
sense-and-avoidance; SAA; edge-centric; edge computing; real-time; unmanned aerial vehicle; UAV; OpenCV;

Recommended Citations

Citations

  • Rave, C. J. (2021). Edge Processing of Image for UAS Sense and Avoidance [Master's thesis, Wright State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=wright1629811701618377

    APA Style (7th edition)

  • Rave, Christopher. Edge Processing of Image for UAS Sense and Avoidance. 2021. Wright State University, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=wright1629811701618377.

    MLA Style (8th edition)

  • Rave, Christopher. "Edge Processing of Image for UAS Sense and Avoidance." Master's thesis, Wright State University, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=wright1629811701618377

    Chicago Manual of Style (17th edition)

wright1629811701618377
249
© 2021, some rights reserved.Creative Commons License Edge Processing of Image for UAS Sense and Avoidance by Christopher J. Rave is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported License. Based on a work at etd.ohiolink.edu.
This open access ETD is published by Wright State University and OhioLINK.