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Recent Development of Drone Technology Software Engineering: A Systematic Survey

Authors :
Ngoc-Bao-van Le
Hong-Danh Thai
Chang-Won Yoon
Jun-Ho Huh
Source :
IEEE Access, Vol 12, Pp 128729-128751 (2024)
Publication Year :
2024
Publisher :
IEEE, 2024.

Abstract

The drone technology field has received attention and witnessed numerous impressive advancements that heralded substantial changes and opened new possibilities in different industries. Several advanced technologies, such as artificial intelligence, computer science, object avoidance technology, and others, have been collaboratively developed to empower drone operations. Drone technology software engineering overview can assist in identifying and prioritizing research gaps that require attention in future research. The main contribution is to investigate the recent development of drone technology by applying the literature review methodology. Our research involves a comprehensive literature review of drone technology software engineering, including worldwide journal papers and reviews published from 2010 to the present. To achieve this goal, we will first research the evolution of drone technology software engineering research trends. Second, we investigate approaches to ensuring the reliability, safety, and security of drone software systems. After that, software testing and validation methodologies have emerged to ensure the robustness and trustworthiness of drone systems are investigated. Finally, the potential of integration of AI/ML capabilities into drone software that has been progressing to enhance autonomous decision-making and adaptation in drone technology is described. As a result, summarized features of a drone system and its increasingly expanding variety of applications are discussed. After that, an analysis to identify the emerging trends, promising research directions, and ongoing challenges in the domain of drone software engineering is presented. These findings are expected to become a valuable reference in this research field.

Details

Language :
English
ISSN :
21693536
Volume :
12
Database :
Directory of Open Access Journals
Journal :
IEEE Access
Publication Type :
Academic Journal
Accession number :
edsdoj.74185ac5fd9d453fa58358194b228c1c
Document Type :
article
Full Text :
https://doi.org/10.1109/ACCESS.2024.3454546