Robust Output Feedback Control of a Quadrotor UAV for Autonomous Vision-Based Target Tracking
Author:
Affiliation:
1. Universita degli Studi di Perugia Dipartimento di Ingegneria
2. Embry-Riddle Aeronautical University
3. University of South Florida College of Engineering
Publisher
American Institute of Aeronautics and Astronautics
Link
https://arc.aiaa.org/doi/pdf/10.2514/6.2023-1632
Reference25 articles.
1. Multirotor Aerial Vehicles: Modeling, Estimation, and Control of Quadrotor
2. Flying Free: A Research Overview of Deep Learning in Drone Navigation Autonomy
3. Vision-Based Reactive Planning for Aggressive Target Tracking While Avoiding Collisions and Occlusions
4. Coarse-to-Fine UAV Target Tracking With Deep Reinforcement Learning
5. End-to-End Active Object Tracking and Its Real-World Deployment via Reinforcement Learning
Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. D-VAT: End-to-End Visual Active Tracking for Micro Aerial Vehicles;IEEE Robotics and Automation Letters;2024-06
2. Unifying Foundation Models with Quadrotor Control for Visual Tracking Beyond Object Categories;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13
3. Exploring Deep Reinforcement Learning for Robust Target Tracking Using Micro Aerial Vehicles;2023 21st International Conference on Advanced Robotics (ICAR);2023-12-05
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