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Safe Landing of Drone Using AI-based Obstacle Avoidanceoa mark
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Publication Year
2020-11-01
Publisher
International Journal of Mechanical Engineering and Robotics Research
Citation
International Journal of Mechanical Engineering and Robotics Research, Vol.9, pp.1495-1501
Keyword
artificial intelligenceflight controlimage segmentationlanding platform trackingobstacle avoidancetwo-dimensional coordinates
All Science Classification Codes (ASJC)
Control and Systems EngineeringMechanical EngineeringArtificial Intelligence
Abstract
As the 4th Industrial Revolution being underway, many research works on drones have been actively conducted. One of the most important part of the drone technology is now dwelling on the autonomous identification and avoidance of obstacles during the flight. In usual cases, drones are following the waypoints designated before the flight by relying on the GPS signals. However, when drones are approaching the designated landing site, there might be obstacles and unforeseen objects that may critically jeopardize the safe landing of the drones. Therefore, the safe landing of the drone is becoming a very important issue. In this respect, this study investigates the possibility of applying artificial intelligence (AI) techniques to the drone, in order to enhance the safety. By integrating image sensors, AI-enabled object recognition, and drone flight control computer altogether, the drones can be more safely landed without the fear of being overturned or critically damaged due to unexpected obstacles during the landing phase of the flight.
ISSN
2278-0149
Language
eng
URI
https://dspace.ajou.ac.kr/dev/handle/2018.oak/31884
DOI
https://doi.org/10.18178/ijmerr.9.11.1495-1501
Type
Article
Funding
This work was supported LigNex1 Company.
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Kwon, Yong Jin Image
Kwon, Yong Jin권용진
Department of Industrial Engineering
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