Achievement alert!
Chao, Max, and Jingxiang's paper, titled "Time-Optimal Gate-Traversing Planner for Autonomous Drone Racing," has been selected as a finalist for the 2024 IEEE International Conference on Robotics and Automation (#ICRA) Best Paper Award on Unmanned Aerial Vehicles. The 2024 ICRA is scheduled for May 13-17, in Yokohama, Japan, and the interactive poster session for award finalist papers will be held on May 15.
Abstract of the paper
"In drone racing, the time-minimum trajectory is affected by the drone's capabilities, the layout of the race track, and the configurations of the gates (e.g., their shapes and sizes). However, previous studies neglect the configuration of the gates, simply rendering drone racing a waypoint-passing task. This formulation often leads to a conservative choice of paths through the gates, as the spatial potential of the gates is not fully utilized. To address this issue, we present a time-optimal planner that can faithfully model gate constraints with various configurations and thereby generate a more time-efficient trajectory while considering the single-rotor-thrust limits. Our approach excels in computational efficiency which only takes a few seconds to compute the full state and control trajectories of the drone through tracks with dozens of different gates. Extensive simulations and experiments confirm the effectiveness of the proposed methodology, showing that the lap time can be further reduced by taking into account the gate's configuration. We validate our planner in real-world flights and demonstrate super-extreme flight trajectory through race tracks."
Authors: Chao Qin, Max Michet, Jingxiang Chen, and Hugh Liu.
More info about the conference: https://lnkd.in/eZxvZ_8S
Retired / AISIN Sr. Manager Sales & Marketing North America Aftermarket (A TOYOTA Group Company)
1mo皆さん、明けましておめでとうございます (Happy New Year Everyone)🤗