The participants will run their VIO algorithms on datasets (including images, IMU measurements and event data) recorded with a FPV drone racing quadrotor flown by an expert pilot with speeds up to and over 20m/s. The goal of the competition is to estimate the quadrotor motion as accurately as possible, utilizing any possible sensor combinations. The winner will be selected based on the accuracy of the estimated trajectories and will be rewarded with a prize sum of 1,000 USD sponsored by Huawei plus an invitation to deliver a talk at the workshop.

Details about the competition can be found at: https://uzh-rpg.github.io/IROS2020-FPV-VIO-Competition/

Submission deadline: September 27, 2020.