과제정보
Ministry of Science and ICT, South Korea, Grant/Award Number: NRF-2020R1G1A10048001; Ministry of Trade, Industry and Energy (MOTIE), Republic of Korea, Grant/Award Number: RS-2023-00256794
참고문헌
- L. Ke, W. Zhengzhong, and Y. Suozhong, Automatic landing on carrier method of unmanned air vehicle, (Proc. IEEE Chin. Guid. Navig. Control Conf., IEEE, Yantai, China), 2014, pp. 299-302.
- D. You, Y. D. Jung, S. W. Cho, H. M. Shin, S. H. Lee, and D. H. Shim, A guidance and control law design for precision automatic take-off and landing of fixed-wing UAVs, (Proc. AIAA Guid. Navig. Control Conf., American Institute of Aeronautics and Astronautics, Minneapolis, MN, USA), 2012, pp. 4674.
- O. Petrovska and U. Rechkoska-Shikoska, Aircraft precision landing using integrated GPS/INS system, Transport Probl. 8 (2013), 17-25.
- P. Williams and M. Crump, Intelligent landing system for landing UAVs at unsurveyed airfields, (Proc. Int. Congr. Aeronaut. Sci., Brisbane, Australia), 2012, pp. 3346-3364.
- C. T. Theodore and M. B. Tischler, Precision autonomous landing adaptive control experiment (PALACE), (Proc. 25th Army Sci. Conf., Orlando, FL, USA), 2006.
- S. Yang, J. Ying, Y. Lu, and Z. Li, Precise quadrotor autonomous landing with SRUKF vision perception, (Proc. IEEE ICRA, IEEE, Seattle, WA, USA), 2015, pp. 2196-2201.
- T. G. Carreia, Quadcopter automatic landing on a docking station, M.S. thesis, Electrical and Computer Engineering, Tecnico Lisboa, Portugal, 2013.
- W. Liu, D. Anguelov, D. Erhan, C. Szegedy, S. Reed, C. Y. Fu, and A. C. Berg, SSD: single shot multibox detector, (Proc. Eur. Conf. Comput. Vision, Springer, Amsterdam, The Netherlands), 2016, pp. 21-37.
- J. Redmon, S. Divvala, R. Girshick, and A. Farhadi, You only look once: unified, real-time object detection, 2015. arXiv preprint. DOI 10.48550/arXiv.1506.02640
- European Helicopter Safety Team, EHEST Leaflet HE 01: Safety Consideration, EASA, Cologne, Germany, 2010.
- European Helicopter Safety Team, EHEST Leaflet HE 03 Helicopter Off Airfield Landing Sites Operations, EASA, Cologne, Germany, 2012.
- K. Song, H. Yeo, and J. H. Moon, Approach control concepts and optimal vertiport airspace design for urban air mobility (UAM) operation, Int. J. Aeronaut. Space Sci. 22 (2021), no. 4, 982-994. https://doi.org/10.1007/s42405-020-00345-9
- K. Song, Optimal vertiport airspace and approach control strategy for urban air mobility (UAM), Sustainability 15 (2022), no. 1, 437. DOI 10.3390/su15010437
- J. Park, I. Kim, J. Suk, and S. Kim, Trajectory optimization for takeoff and landing phase of UAM considering energy and safety, Aerosp. Sci. Technol. 140 (2023), 108489. DOI 10.1016/j.ast.2023.108489
- D. Choi, D. Kim, and K. Lee, Collision avoidance of unmanned aerial vehicles in an urban environment, (Proc. IEEENatl. Aerosp. Electron. Conf., IEEE, Dayton, OH, USA), 2021, pp. 25-32.
- B. Zhou, F. Gao, L. Wang, C. Liu, and S. Shen, Robust and efficient quadrotor trajectory generation for fast autonomous flight, IEEE Robot. Automat. Let. 4 (2019), 3529-3536. https://doi.org/10.1109/LRA.2019.2927938
- S. Jung, H. Lee, D. H. Shim, and A. A. Agha-mohammadi, Collision-free local planner for unknown subterranean navigation, ETRI J. 43 (2021), 580-593. https://doi.org/10.4218/etrij.2021-0087
- Y. Hong, S. Kim, Y. Kim, and J. Cha, Quadrotor path planning using A* search algorithm and minimum snap trajectory generation, ETRI J. 43 (2021), 1013-1023. https://doi.org/10.4218/etrij.2020-0085
- X. Zhou, Z. Wang, H. Ye, C. Xu, and F. Gao, EGO-Planner: an ESDF-free gradient-based local planner for quadrotors, IEEE Robot. Automat. Let. 6 (2021), 478-485. https://doi.org/10.1109/LRA.2020.3047728
- J. Zhang, C. Hu, R. G. Chadha, and S. Singh, Falco: fast likelihood-based collision avoidance with extension to humanguided navigation, J. Field Robot. 37 (2020), 1300-1313. https://doi.org/10.1002/rob.21952
- S. Primatesta, A. Osman, and A. Rizzo, MP-RRT#: a model predictive sampling-based motion planning algorithm for unmanned aircraft system, J. Intell. Robot. Syst. 103 (2021), 59.
- Z. Zheng, T. R. Bewley, and F. Kuester, Point cloud-based targetoriented 3D path planning for UAVs, (Int. Conf. Unmanned Aircr. Syst. (ICUAS), IEEE, Athens, Greece), 2020, pp. 790-798.
- A. Hinas, J. M. Roberts, and F. Gonzalez, Vision-based target finding and inspection of a ground target using a multirotor UAV system, J. Pattern Recog. Let. 17 (2017), 2929.
- H. Choi, M. Geeves, B. Alsalam, and F. Gonzalez, Open source computer-vision based guidance system for UAVs on-board decision making, (Proc. IEEE Aerosp. Conf., IEEE, Big Sky, MT, USA), 2016, pp. 1-5.
- I. Borshchova and S. O'Young, Marker-guided auto-landing on a moving platform, Int. J. Intell. Unmanned Sys. 5 (2017), 28-42. https://doi.org/10.1108/IJIUS-10-2016-0008
- A. R. Vetrella, I. Sa, M. Popovic, R. Khanna, J. Nieto, G. Fasano, D. Accardo, and R. Siegwart, Improved tau-guidance and vision-aided navigation for robust autonomous landing of UAVs, (Proc. Conf. Field Serv. Rob., Springer, Zurich, Switzerland), 2017.
- A. Gautam, P. B. Sujit, and S. Saripalli, Autonomous quadrotor landing using vision and pursuit guidance, IFAC-PapersOnLine 50 (2017), 10501-10506. https://doi.org/10.1016/j.ifacol.2017.08.1982
- J. Kim, Y. Jung, D. Lee, and D. H. Shim, Outdoor autonomous landing on a moving platform for quadrotors using an omnidirectional camera, (Proc. Int. Conf. Unmanned Aircr. Syst. (ICUAS), IEEE, Orlando, FL, USA), 2014, pp. 1243-1252.
- I. V. Thiang and H. Tun, Vision-based object tracking algorithm with AR. Drone, Int. J. Scient. Technol. Res. 5 (2016), 135-139.
- O. Araar, N. Aouf, and I. Vitanov, Vision based autonomous landing of multirotor UAV on moving platform, J. Intell. Robot. Sys. 85 (2017), 369-384. https://doi.org/10.1007/s10846-016-0399-z
- H. Lee, S. Jung, and D. H. Shim, Vision-based UAV landing on the moving vehicle, (Proc. Int. Conf. Unmanned Aircr. Syst. (ICUAS), IEEE, Arlington, VA, USA), 2016, pp. 1-7.
- S. Jung, J. Koo, K. Jung, H. Kim, and H. Myung, Vision-based autonomous landing system of an unmanned aerial vehicle on a moving vehicle, J. Korea Robot. Soc. 11 (2016), 262-269. https://doi.org/10.7746/jkros.2016.11.4.262
- H. Lee, D. Lee, and D. H. Shim, Receding horizon-based RRT* RRT* algorithm for a UAV real-time path planner, (Proc. AIAA Infotech @1 Aerosp., American Institute of Aeronautics and Astronautics, Grapevine, TX, USA), 2017, pp. 676.