Citation

Lee, Chia Chie and Yap, Wen Jiun (2020) Artificial Landmark-based Indoor Navigation System for an Autonomous Unmanned Aerial Vehicle. In: 2020 IEEE 7th International Conference on Industrial Engineering and Applications, 16-21 April 2020, Bangkok, Thailand, Thailand.

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Abstract

An artificial landmark-based indoor navigation system was developed to provide reliable and high accuracy indoor navigation service to an autonomous Unmanned Aerial Vehicle (UAV) with a low computational cost. In this approach, the position of the UAV with respect to the indoor environment was determined by the position information extracted from the artificial landmarks. The artificial landmarks were constructed based on QR codes which stored a unique text string that refer to an absolute coordinate of the indoor environment. Machine learning approaches were applied to provide the system with the ability to detect the landmark through the vision streamed by the aircraft. The system has been experimentally evaluated for proof of concept under practical conditions. The experiment results have proved that using QR code-based artificial landmark as a low computational cost solution is possible to achieve reliable and high accuracy indoor navigation service for an autonomous UAV.

Item Type:	Conference or Workshop Item (Paper)
Uncontrolled Keywords:	Machine learning, Aircraft, Object detection, Indoor navigation, Unmanned aerial vehicles, Machine learning algorithms
Subjects:	Q Science > Q Science (General) > Q300-390 Cybernetics
Divisions:	Faculty of Engineering (FOE)
Depositing User:	Ms Rosnani Abd Wahab
Date Deposited:	14 Dec 2020 07:42
Last Modified:	14 Dec 2020 07:42
URII:	http://shdl.mmu.edu.my/id/eprint/7834

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