Pointing the Way: Refining Radar-Lidar Localization Using Learned ICP Weights

no code implementations • 15 Sep 2023 • Daniil Lisus, Johann Laconte, Keenan Burnett, Timothy D. Barfoot

Combining a proven analytical approach with a learned weight reduces localization errors in radar-lidar ICP results run on real-world autonomous driving data by up to 54. 94% in translation and 68. 39% in rotation, while maintaining interpretability and robustness.

Autonomous Driving

Building a Winning Self-Driving Car in Six Months

no code implementations • 3 Nov 2018 • Keenan Burnett, Andreas Schimpe, Sepehr Samavi, Mona Gridseth, Chengzhi Winston Liu, Qiyang Li, Zachary Kroeze, Angela P. Schoellig

The first set of challenges were held in April of 2018 in Yuma, Arizona.

Robotics