Fast-Tracker: A Robust Aerial System for Tracking Agile Target in Cluttered Environments
November 08, 2020 ยท Declared Dead ยท ๐ IEEE International Conference on Robotics and Automation
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Authors
Zhichao Han, Ruibin Zhang, Neng Pan, Chao Xu, Fei Gao
arXiv ID
2011.03968
Category
cs.RO: Robotics
Citations
79
Venue
IEEE International Conference on Robotics and Automation
Last Checked
3 months ago
Abstract
This paper proposes a systematic solution that uses an unmanned aerial vehicle (UAV) to aggressively and safely track an agile target. The solution properly handles the challenging situations where the intent of the target and the dense environments are unknown to the UAV. Our work is divided into two parts: target motion prediction and tracking trajectory planning. The target motion prediction method utilizes target observations to reliably predict the future motion of the target considering dynamic constraints. The tracking trajectory planner follows the traditional hierarchical workflow.A target informed kinodynamic searching method is adopted as the front-end, which heuristically searches for a safe tracking trajectory. The back-end optimizer then refines it into a spatial-temporal optimal and collision-free trajectory. The proposed solution is integrated into an onboard quadrotor system. We fully test the system in challenging real-world tracking missions.Moreover, benchmark comparisons validate that the proposed method surpasses the cutting-edge methods on time efficiency and tracking effectiveness.
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