The participants are required to run their VIO algorithms on sequences selected from the public UZH-FPV Drone Racing Dataset, which include images, IMU measurements, and event-based camera data recorded with a FPV drone racing quadrotor flown aggressively by an expert pilot. The goal is to estimate the quadrotor motion as accurately as possible, utilizing any desired sensor combinations.details on github
This is the third edition of the competition (IROS 2019, ICRA 2020). The evaluation datasets are exactly the same. To obtain the prize money of up to 2000 USD, the winner of this competition will need to outperform the winners from the previous competitions as follows:
The prize money will only be awarded to the single team with the best performance. Evaluation details are provided below. Results and report from the previous year can be found on the dataset website. The winner will also be invited to present their approach at the IROS 2020 Workshop on "Perception, Learning, and Control for Autonomous Agile Vehicles".
The deadline to submit the estimated trajectories and report is Sunday, September 27th, 2020Submit Here!
Our mission is to develop autonomous machines that can navigate all by themselves using onboard cameras, without relying on external infrastructure, such as GPS or motion capture systems.