→ Pose Estimation Challenge
One camera, one image, one pose.
Accurate estimation of distance and orientation (pose) for objects in space are essential for many missions. When approaching an uncooperative target ,the pose can be estimated from camera images. In this challenge, you are tasked to estimate the pose of the Tango spacecraft from its synthetic and real images captured using computer graphics and a robotic testbed, respectively. Learn more about the challenge
and the data
This competition is organized by the Advanced Concepts Team (ACT) of the European Space Agency and the Space Rendezvous Laboratory (SLAB) of Stanford University.
Experts from both teams are available for interactions via the competition discussion page.
The competition has concluded
We congratulate UniAdelaide to their first place!
For everyone who is still interested in evaluating submissions, we created a post mortem version of this competition with a fresh leaderboard for benchmarking.