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Flight Trajectory Modeling for Human-Piloted Drone Racing
Analysis of 3D flight trajectories from human-piloted drone racing.
Keywords: Robotics, drones, human-machine interaction, trajectory planning, 3D kinematics
In drone racing, human pilots navigate quadrotor drones as quickly as possible through a sequence of gates arranged in a 3D track. There is a large number of possible trajectories for linking gates among which pilots have to choose. This project aims to identify the most common and most efficient flight trajectories used by human pilots. The student will collect flight trajectory data for various tracks from human pilots using a drone racing simulator. The student will analyze 3D trajectories and motion kinematics to identify trajectories that achieve the fastest lap times most consistently. Finally, the student will compare flight trajectories from human pilots to trajectories from a minimum-time planner used for autonomous navigation. Requirements: Experience in computer vision and machine learning; ability to code in Python/Matlab, Linux, C++, ROS; experience in 3D kinematic analysis is a plus.
In drone racing, human pilots navigate quadrotor drones as quickly as possible through a sequence of gates arranged in a 3D track. There is a large number of possible trajectories for linking gates among which pilots have to choose. This project aims to identify the most common and most efficient flight trajectories used by human pilots. The student will collect flight trajectory data for various tracks from human pilots using a drone racing simulator. The student will analyze 3D trajectories and motion kinematics to identify trajectories that achieve the fastest lap times most consistently. Finally, the student will compare flight trajectories from human pilots to trajectories from a minimum-time planner used for autonomous navigation. Requirements: Experience in computer vision and machine learning; ability to code in Python/Matlab, Linux, C++, ROS; experience in 3D kinematic analysis is a plus.
Extend knowledge about flight trajectory planning in human-piloted drone racing.
Extend knowledge about flight trajectory planning in human-piloted drone racing.
Please send your CV and transcripts (bachelor and master) to:
Christian Pfeiffer (cpfeiffe (at) ifi (dot) uzh (dot) ch),
Elia Kaufmann (ekaufmann (at) ifi (dot) uzh (dot) ch)
Please send your CV and transcripts (bachelor and master) to: Christian Pfeiffer (cpfeiffe (at) ifi (dot) uzh (dot) ch), Elia Kaufmann (ekaufmann (at) ifi (dot) uzh (dot) ch)