Boreas: A Multi-Season Autonomous Driving Dataset

Understand

The Boreas dataset was collected by driving a repeated route over the course of one year, resulting in stark seasonal variations and adverse weather conditions such as rain and falling snow.

• In total, the Boreas dataset includes over 350km of driving data featuring a 128-channel Velodyne Alpha Prime lidar, a 360$^\circ$ Navtech CIR304-H scanning radar, a 5MP FLIR Blackfly S camera, and centimetre-accurate post-processed ground truth poses.
• Our dataset will support live leaderboards for odometry, metric localization, and 3D object detection.
• The dataset and development kit are available at https://www.boreas.utias.utoronto.ca