In recent years, there has been significant growth in applications of Unmanned Aerial Vehicles (UAVs). The demand for an autonomous UAV navigation is growing due to various applications in GPS-denied environments like disaster relief monitoring, search and rescue, mining, bridge inspections, space explorations, and military activities. Visual measurements possess a lot of accurate information which is extracted and exploited for UAV manoeuvring. This paper presents a comprehensive survey of vision-based UAV manoeuvring techniques. The approaches range from deep learning, digital elevation map, and optical flow to mathematical models. The outputs of these techniques cover the various aspects of autonomous navigation like velocity, thrust, yaw angle, heading angle, position, and height. The paper encompasses methods for both indoor and outdoor navigation. The techniques covered mange smooth UAV navigation in different and even unfavourable illumination conditions. Furthermore, this paper serves as a medium to gain insight into the essential aspects of drone navigation methods and their applications.
Advances in Vision-Based UAV Manoeuvring Techniques
Smart Innovation, Systems and Technologies
International Symposium on Intelligent Informatics ; 2022 ; Thiruvananthapuram, India August 31, 2022 - September 02, 2022
2023-04-05
16 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Englisch
UAV , Autonomous , Vision-based , Deep learning , Optical flow , Manoeuvring , Digital elevation map Engineering , Signal, Image and Speech Processing , Artificial Intelligence , Cyber-physical systems, IoT , Professional Computing , Image Processing and Computer Vision , Natural Language Processing (NLP)
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