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Title: Engineering Challenges for AI-Supported Computer Vision in Small Uncrewed Aerial Systems
Computer Vision (CV) is used in a broad range of Cyber-Physical Systems such as surgical and factory floor robots and autonomous vehicles including small Unmanned Aerial Systems (sUAS). It enables machines to perceive the world by detecting and classifying objects of interest, reconstructing 3D scenes, estimating motion, and maneuvering around objects. CV algorithms are developed using diverse machine learning and deep learning frameworks, which are often deployed on limited resource edge devices. As sUAS rely upon an accurate and timely perception of their environment to perform critical tasks, problems related to CV can create hazardous conditions leading to crashes or mission failure. In this paper, we perform a systematic literature review (SLR) of CV-related challenges associated with CV, hardware, and software engineering. We then group the reported challenges into five categories and fourteen sub-challenges and present existing solutions. As current literature focuses primarily on CV and hardware challenges, we close by discussing implications for Software Engineering, drawing examples from a CV-enhanced multi-sUAS system.  more » « less
Award ID(s):
1931962
NSF-PAR ID:
10468154
Author(s) / Creator(s):
;
Publisher / Repository:
IEEE
Date Published:
ISBN:
979-8-3503-0113-7
Page Range / eLocation ID:
158 to 170
Subject(s) / Keyword(s):
Small Uncrewed Aerial Systems, Computer Vision, Artificial Intelligence
Format(s):
Medium: X
Location:
Melbourne, Australia
Sponsoring Org:
National Science Foundation
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