Model Predictive Control Based Dynamic Geofence System for Unmanned Aerial Vehicles

Author:

Zhang Songyuan1,Wei Dong1,Huynh Minh Quan1,Quek Jian Xing1,Ma Xiao1,Xie Lihua1

Affiliation:

1. Nanyang Technological University

Publisher

American Institute of Aeronautics and Astronautics

Reference2 articles.

1. 1Barry, David. ‘Drones: Safety Considerations and Potential Liability Concerns’ Available: http://blog.willis.com/2015/12/drones-safety-considerations-and-potential-liability-concerns-definitely-more-than-just-a-toy/

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1. Geofencing Motion Planning for Unmanned Aerial Vehicles Using an Anticipatory Range Control Algorithm;Machines;2024-01-04

2. Investigating Drone Data Recovery Beyond the Obvious Using Digital Forensics;2023 IEEE 14th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON);2023-10-12

3. Model Predictive Control for UAV Geofencing;2023 9th International Conference on Control, Decision and Information Technologies (CoDIT);2023-07-03

4. Onboard Safety Guarantees for Racing Drones: High-Speed Geofencing With Control Barrier Functions;IEEE Robotics and Automation Letters;2022-04

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