A direct visual servoing-based framework for the 2016 IROS Autonomous Drone Racing Challenge

Author:

Jung Sunggoo1ORCID,Cho Sungwook1,Lee Dasol1,Lee Hanseob1,Shim David Hyunchul1

Affiliation:

1. Unmanned Systems Research Group, Department of Aerospace Engineering; Korea Advanced Institute of Science and Technology; Daejeon Republic of Korea

Funder

Ministry of Science, ICT and Future Planning

National Research Foundation of Korea

Publisher

Wiley

Subject

Computer Science Applications,Control and Systems Engineering

Cited by 44 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. A Sim-to-Real Deep Learning-Based Framework for Autonomous Nano-Drone Racing;IEEE Robotics and Automation Letters;2024-02

2. Neural Drone Racer Mentored by Classical Controllers;Advances in Computational Intelligence;2023-11-09

3. Aggressive Trajectory Generation for a Swarm of Autonomous Racing Drones;2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS);2023-10-01

4. An Efficient Framework for Autonomous UAV Missions in Partially-Unknown GNSS-Denied Environments;Drones;2023-07-18

5. Towards Robust Velocity and Position Estimation of Opponents for Autonomous Racing Using Low-Power Radar;2023 9th International Workshop on Advances in Sensors and Interfaces (IWASI);2023-06-08

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