Latest News
Drone Racing With ADR Gates
We gathered gate image datasets during time-optimal flights, capturing a wide range of angles and lighting conditions. This dataset will be used to train a neural network for precise gate detection.
Read MoreRacing Dome Construction Started
We have started the construction for our new drone racing arena in the UTIAS dome, providing a spacious space for drone racing research.
Read MoreNew Autonomous FPV Drone
We built a new drone distinguished by its red features. This platform is equipped with a Jetson TX2 NX computer, a Betaflight flight control unit (FCU), and a set of infrared-reflective markers for motion capture.
Read MoreFlight in a Real Race Course
We are testing the performance of our time-optimal planning algorithms on a real race track. The goal is to navigate an autonomous FPV drone through 19 gates, made of foam pillars, in the shortest possible time without any collisions.
Read MoreMeeting with Prof. Liu
We meet with Prof. Liu in the Myhal Centre and introduce our recent progresses in learning-based gate detection.
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