Autonomous Racing Drone — Perception
Leading real-time VIO, gate detection, and 6-DoF pose estimation at the ETH Robotics Club.
As Perception Lead at the ETH Robotics Club, I lead a six-member team building the perception stack for an autonomous racing drone.
The system fuses real-time motion capture (Mo-Cap) and visual-inertial odometry (VIO) with a gate-detection pipeline to produce robust 6-DoF pose estimates for high-speed autonomous flight.
- Role: Perception Lead (team of 6), Aug 2025 – present
- Keywords: VIO, motion capture, gate detection, 6-DoF pose estimation, real-time perception