과제정보
This research was financially supported by the Institute of Civil Military Technology Cooperation funded by the Defense Acquisition Program Administration and Ministry of Trade, Industry and Energy of Korean government under grant No. UM22206RD2
참고문헌
- M. Petrlik, T. Baca, D. Hert, M. Vrba, T. Krajnik, and M. Saska, "A Robust UAV System for Operations in a Constrained Environment," IEEE Robotics and Automation Letters, vol. 5, no. 2, pp. 2169-2176, Apr., 2020, DOI: 10.1109/LRA.2020.2970980.
- M. Erdelj and E. Natalizio, "UAV-assisted disaster management: Applications and open issues," International Conference on Computing, Networking and Communications (ICNC), Kauai, USA, 2016, pp. 1-5, DOI: 10.1109/ICCNC.2016.7440563.
- Z. Xu, D. Deng, and K. Shimada, "Autonomous UAV Exploration of Dynamic Environments Via Incremental Sampling and Probabilistic Roadmap," IEEE Robotics and Automation Letters, vol. 6, no. 2, pp. 2729-2736, Apr., 2021, DOI: 10.1109/LRA.2021.3062008.
- B. Zhou, Y. Zhang, X. Chen, and S. Shen, "FUEL: Fast UAV Exploration Using Incremental Frontier Structure and Hierarchical Planning," in IEEE Robotics and Automation Letters, vol. 6, no. 2, pp. 779-786, Apr., 2021, DOI: 10.1109/LRA.2021.3051563.
- J. Tordesillas, B. T. Lopez, and J. P. How, "FASTER: Fast and Safe Trajectory Planner for Flights in Unknown Environments," IEEE International Workshop on Intelligent Robots and Systems (IROS), Macau, China, 2019, pp. 1934-1940, DOI: 10.1109/IROS40897.2019.8968021.
- X. Zhou, Z. Wang, H. Ye, C. Xu, and F. Gao, "EGO-Planner: An ESDF-Free Gradient-Based Local Planner for Quadrotors," IEEE Robotics and Automation Letters, vol. 6, no. 2, pp. 478-485, Apr., 2021, DOI: 10.1109/LRA.2020.3047728.
- P. E. Hart, N. J. Nilsson, and B. Raphael, "A Formal Basis for the Heuristic Determination of Minimum Cost Paths," IEEE Transactions on Systems Science and Cybernetics, vol. 4, no. 2, pp. 100-107, Jul., 1968, DOI: 10.1109/TSSC.1968.300136.
- K. Naderi, J. Rajamaki, and P. Hamalainen, "RT-RRT*: a real-time path planning algorithm based on RRT," Proceedings of the 8th ACM SIGGRAPH Conference on Motion in Games, pp. 113-118, 2015, DOI: 10.1145/2822013.2822036.
- J. D. Gammell, S. S. Srinivasa, and T. D. Barfoot, "Informed RRT*:RRT*: Optimal sampling-based path planning focused via direct sampling of an admissible ellipsoidal heuristic," IEEE International Workshop on Intelligent Robots and Systems (IROS), Chicago, USA, 2014, pp. 2997-3004, DOI: 10.1109/IROS.2014.6942976.
- J. Wang, T. Li, B. Li, and M. Q.-H. Meng, "GMR-RRT*: Sampling-Based Path Planning Using Gaussian Mixture Regression," IEEE Transactions on Intelligent Vehicles, vol. 7, no. 3, pp. 690-700, Sept., 2022, DOI: 10.1109/TIV.2022.3150748.
- C. Zammit and E.-J. Van Kampen, "Comparison between A* and RRT Algorithms for UAV Path Planning," 2018 AIAA Guidance, Navigation, and Control Conference, Kissimmee, Florida, Jan., 2018, DOI: 10.2514/6.2018-1846.
- A. G. H. Qahtan and AL-Baiati A. Emad, "Path-Planning Dynamic 3D Space Using Modified A* Algorithm," IOP Conference Series.Materials Science and Engineering, vol. 928, 2020. DOI:10.1088/1757-899X/928/3/032016.
- B. Kim, C. Jung, D. H. Shim, and A. Agha-mohammadi, "Adaptive Keyframe Generation based LiDAR Inertial Odometry for Complex Underground Environments," IEEE International Conference on Robotics and Automation (ICRA), London, United Kingdom, 2023, DOI: 10.1109/ICRA48891.2023.10161207.
- L. Han, F. Gao, B. Zhou, and S. Shen, "FIESTA: Fast Incremental Euclidean Distance Fields for Online Motion Planning of Aerial Robots," IEEE International Workshop on Intelligent Robots and Systems (IROS), Macau, China, 2019, DOI: 10.1109/IROS40897.2019.8968199.
- D. Foead, A. Ghifari, M. B. Kusuma, N. Hanafiah, and E. Gunawan, "A systematic literature review of a* pathfinding," Procedia Computer Science, vol. 179, pp. 507-514, 2021, DOI: 10.1016/j.procs.2021.01.034.
- T. K. Nobes, D. D. Harabor, M. Wybrow, and S. D. C. Walsh, "The JPS pathfinding system in 3D," Proceedings of the International Symposium on Combinatorial Search, 2022, DOI: 10.1609/socs.v15i1.21762.