harpreetsahota2023unknown
Boreas Multimodal (MCAP)
A FiftyOne build of Boreas and Boreas Road Trip, multi-season autonomous driving datasets featuring synchronized camera, 128-beam lidar, 360-degree radar, GPS/INS, and IMU telemetry from repeated-route AV platforms in Toronto, with 6 object-detection episodes carrying 3D bounding boxes for Car/Pedestrian/Cyclist classes.
Downloads0
Episodes8
Why This Matters for Physical AI
Boreas provides real-world autonomous driving data across multiple seasons and diverse road conditions, enabling development and benchmarking of robust perception, localization, and odometry algorithms essential for embodied AI navigation systems.
Technical Profile
- Modalities
- rgblidarradargpsimupoint_cloudodometry
- Robot Embodiments
- autonomous_vehiclemobile_platform
- Environment
- outdoorurbansuburbanindustrialfarmforestfreeway
- Task Types
- localizationodometryobject_detectionautonomous_driving
- Episodes
- 8
- Data Format
- MCAP
- Annotation Types
- bounding_boxes3d_boxes
- License
- unknown
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