Simultaneous Localization and Mapping (SLAM) is one of the most
fundamental capabilities necessary for robots to navigate and perform
tasks. While impressive progress has been made with both geometric-based
methods and learning-based methods, developing a robust and accurate
SLAM method for deploying on a real-world construction site is still a
challenging problem. We introduce the HILTI SLAM Challenge dataset, a
real-life, multi-sensor dataset with accurate ground truth to advance
the state of the art in highly accurate state estimation in challenging
environments. Participants will be ranked by the completeness of their
trajectories and by the achieved accuracy.

Hilti is a multinational company that offers premium products and
services for professionals on construction sites around the globe.
Behind this vast catalogue is a global team comprising of 30.000 team
members from 133 different nationalities located in more than 120 countries.

Participants can win up to $10,000 prize money and a keynote IROS
workshop invitation.

Instructions: http://hilti-challenge.com

Michael Helmberger (from HILTI), Giovanni Cioffi, Davide Scaramuzza