2 papers
cs.RO2026
Balancing Act: Trading Off Odometry and Map Registration for Efficient Lidar Localization
Katya M. Papais, Daniil Lisus, Cedric Le Gentil +2
Most autonomous vehicles rely on accurate and efficient localization, which is achieved by comparing live sensor data to a preexisting map, to navigate their environment. Balancing…
cs.RO2026
Boreas Road Trip: A Multi-Sensor Autonomous Driving Dataset on Challenging Roads
Daniil Lisus, Katya M. Papais, Cedric Le Gentil +4
The Boreas Road Trip (Boreas-RT) dataset extends the multi-season Boreas dataset to new and diverse locations that pose challenges for modern autonomous driving algorithms. Boreas-…