Geofencing Motion Planning for Unmanned Aerial Vehicles Using an Anticipatory Range Control Algorithm
Author:
Affiliation:
1. Centre for Engineering Research, University of Hertfordshire, Hatfield AL10 9AB, UK
2. Centre for Networks and Security Research, University of Hertfordshire, Hatfield AL10 9AB, UK
Abstract
Publisher
MDPI AG
Link
https://www.mdpi.com/2075-1702/12/1/36/pdf
Reference56 articles.
1. Reclus, F., and Drouard, K. (2009, January 20–22). Geofencing for fleet & Freight Management. Proceedings of the 9th International Conference on Intelligent Transport Systems Telecommunications (ITST), Lille, France.
2. Stevens, M.N., Coloe, B.T., and Atkins, E.M. (2015, January 22–26). Platform-Independent Geofencing for Low Altitude UAS Operations. Proceedings of the 15th AIAA Aviation Technology, Integration, and Operations Conference, Dallas, TX, USA.
3. Hayhurst, K.J., Maddalon, J.M., Neogi, N.A., and Verstynen, H.A. (2015, January 9–12). A Case Study for Assured Containment. Proceedings of the International Conference on Unmanned Aircraft Systems (ICUAS), Denver, CO, USA.
4. Liu, Y., Lv, R., Guan, X., and Zeng, J. (2016, January 12–15). Path Planning for Unmanned Aerial Vehicle under Geo-Fencing and Minimum Safe Separation Constraints. Proceedings of the 12th World Congress on Intelligent Control and Automation (WCICA), Guilin, China.
5. Hosseinzadeh, M. (2021). Unmanned Aerial Systems, Elsevier.
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1. Eyes in the Sky;Advances in Information Security, Privacy, and Ethics;2024-01-26
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