ABSTRACT
In order to improve the safety of UAS flight, an autonomous flight UAS geofence algorithm is proposed. Firstly, by scaling the original geofence and performing vertex smoothing and self-intersection detection processing, a geofence pre-control-layer generation algorithm which is universally applicable to both concave and convex geofence is proposed. Then, the buffer is added on the basis of traditional ray method to solve the problem of misjudgement of intersection points. The improved ray casting algorithm is used to detect the violation of geofence, and a re-planning method of the violating waypoints is proposed for the UAS with violating danger. The corresponding control law of boundary maintaining autonomous controls is designed. Finally, the validation experiment is carried out by using the experimental system built by the quad-rotor UAS. Experiment result show that the UAS can modify the original flight path as little as possible on the basis of avoiding the violation of the geofence, and the proposed geofence algorithm is effective and can ensure the flight safety of autonomous UAS in geo-fence.
- Clothier, R. A. Williams, B. P. Hayhurst, K. J. "Modelling the risks remotely piloted aircraft pose to people on the ground," Safety Science, vol. 101, no. 1, pp. 33--47, 2018.Google ScholarCross Ref
- Kopardekar, P. Rios, J. Prevot, T. et al. "Unmanned aircraft system traffic management (UTM) concept of operations," Proceedings of the 16th AIAA Aviation Technology. In Integration, and Operations Conference, pp. 13--17, 2016.Google Scholar
- Cho, J. W. Yoon, Y. J. "How to assess the capacity of urban airspace: A topological approach using keep-in and keep-out geofence," Transportation Research Part C, vol. 92, no. 1, pp. 137--149, 2018.Google ScholarCross Ref
- DJI. Home(2019) {Online}. Available:. https://www.dji.com/cn.Google Scholar
- ArduPilot. Home (2019) {Online}. Available: http://www.ardupilot. org/.Google Scholar
- Stevens, M. N. Coloe, B. T. Atkins, E. M. "Platform- Independent geofencing for low altitude UAS operations," 15th AIAA Aviation Technology, Integration, and Operations Conference, pp. 12--28, 2015.Google Scholar
- Gurriet, T. Ciarletta, L. "Towards a generic and modular geofencing strategy for civilian UAVs," 2016 International Conference on Unmanned Aircraft Systems (ICUAS), pp. 540--549, 2016.Google Scholar
- D'Souza, S. Ishihara, A. Nikaido, B. et al. "Feasibility of varying geo-fence around an unmanned aircraft operation based on vehicle performance and wind," Digital Avionics Systems Conference (DASC), pp. 1--10, 2016.Google Scholar
- Dill, E. T. Young, S. D. Hayhurst, K. J. "SAFEGUARD: An assured safety net technology for UAS," 2016 IEEE/AIAA 35th Digital Avionics Systems Conference (DASC), pp. 1--10, 2016.Google Scholar
- Young, S. D. Dill, E. T. Hayhurst, K. J. et al. "Safeguard: progress and test results for a reliable independent on-board safety net for UAS," 2017 IEEE/AIAA 36th Digital Avionics Systems Conference (DASC), 2017.Google Scholar
- Yang, Z. Zhen, L. H. Li, M. Z. et al. "Design of electronic fence of UAV for plant protection assignment based on ray method," Transactions of the Chinese Society for Agricultural Machinery,2016,47(1): 442--448.Google Scholar
- STEVENS M N, RASTGOFTAR H, ATKINS E M. Geo- fence boundary violation detection in 3D using triangle weight characterization with adjacency{J}. Journal of Intelligent & Robotic Systems,2018,92(1):1--12.Google Scholar
- HORMANN K, AGATHOS A. The point in polygon problem for arbitrary polygons {J}.Computational Geometry 2001, 20(3):131--144. Google ScholarDigital Library
- STEVENS M N,ATKINS E M. Multi-mode guidance for an independent multicopter geofencing system{C}//16th AIAA Aviation Technology, Integration, and Operations Conference, 2016, 1--12.Google Scholar
Index Terms
- Design and Experiment of Autonomous Flight UAS Geofence Algorithm
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