Do you work on state estimation, Visual SLAM, or VIO? Are your algorithms robust enough for agile robotics? Take part in the RSS2024 Robust State Estimation Competition!  

To enter the competition, submit your trajectory results on the test sequences of the “UZH FPV dataset,” which contains visual and inertial data recorded onboard a quadrotor flying at high speeds. This data was used to train our autonomous system that defeated the world-champion drone-racing pilots in several head-to-head races last year.

The competition winner will be invited to give a talk at the workshop Towards Safe Autonomy at RSS24.

Submission deadline: June 23rd, 2024
Dataset page: https://fpv.ifi.uzh.ch/
Competition page: https://fpv.ifi.uzh.ch/rss-2024-fpv-drone-racing-vio-competition/
RSS Workshop page: https://sites.google.com/view/rss2024-safe-autonomy/

Best regards,

Giovanni Cioffi, Davide Scaramuzza

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Prof. Dr. Davide Scaramuzza Director of the Robotics and Perception Group University of Zurich,  Andreasstrasse 15, AND 2.10, Zurich, Switzerland Home page: https://rpg.ifi.uzh.ch/people_scaramuzza.html ___________________________________