Control and Position Tracking for UAVs
Author:
Affiliation:
1. Department of Industrial Processes Automation, Faculty of Mechanical Engineering, Bialystok University of Technology, Wiejska St. 45C, 15-351 Bialystok, Poland
Abstract
Publisher
MDPI AG
Link
https://www.mdpi.com/2076-3417/14/5/1909/pdf
Reference25 articles.
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2. Hao, G., Lv, Q., Huang, Z., Zhao, H., and Chen, W. (2023). UAV Path Planning Based on Improved Artificial Potential Field Method. Aerospace, 10.
3. Kownacki, C. (2024). Artificial Potential Field Based Trajectory Tracking for Quadcopter UAV Moving Targets. Sensors, 24.
4. A Hybrid Dynamic Window Approach for Collision Avoidance of VTOL UAVs;Moon;Int. J. Aeronaut. Space Sci.,2018
5. Zhang, S., Xu, M., and Wang, X. (2022, January 14–16). Research on Obstacle Avoidance Algorithm of Multi-UAV Consistent Formation Based on Improved Dynamic Window Approach. Proceedings of the 2022 IEEE Asia-Pacific Conference on Image Processing, Electronics and Computers (IPEC), Dalian, China.
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