Visual-based Landing Guidance System of UAV with Deep Learning Technique for Environments of Visual-detection Impairment

Author:

Lee Minjae,Shin Sung Gyun,Jang Seungsoo,Cho Woosung,Kim Sungkyum,Han Sangsoo,Choi Chanho,Kim Jooyeon,Kim Youngmin,Kim Song HyunORCID

Publisher

Springer Science and Business Media LLC

Subject

Computer Science Applications,Control and Systems Engineering

Reference19 articles.

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2. A. V. Abakumov, I. K. Kuz'menko, D. Y. Livshits, P. K. Nesterov, A. A. Seranova, I. V. Sergushov, and V. N. Slonov, “Automatic landing of an unmanned aerial vehicle by means of a ground-based laser beacon system,” Proc. of 24th Saint Petersburg International Conference on Integrated Navigation Systems (ICINS), pp. 1–3, May 2017.

3. T. Pavlenko, M. Schutz, M. Vossiek, T. Walter, and S. Montenegro, “Wireless local positioning system for controlled UAV landing in GNSS-denied environment,” Proc. of the IEEE 5th International Workshop on Metrology for AeroSpace (MetroAeroSpace), pp. 171–175, June 2019.

4. S. Lange, N. Sunderhauf, and P. Protzel, “Autonomous landing for a multirotor UAV using vision,” Proc. of the SIMPAR 2008 International Conference on Simulation, Modeling and Programming for Autonomous Robots, pp. 482–491, November 2008.

5. X. Chen, S. K. Phang, M. Shan, and B. M. Chen, “System integration of a vision-guided UAV for autonomous landing on moving platform,” Proc. of the IEEE International Conference on Control and Automation, pp. 761–766, June 2016.

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