Boreal Terrain Classification Dataset
Recorded with a Husky A200 wheeled UGV, BorealTC contains 116 min of Inertial Measurement Unit (IMU), motor current, and wheel odometry data, focusing on typical boreal forest terrains, notably snow, ice, and silty loam.
The dataset also includes experiments on asphalt and flooring.
All runs were recorded in Forêt Montmorency and on the main campus of Université Laval, Quebec City, Québec, Canada
Variants: BorealTC
This dataset is used in 1 benchmark:
| Task | Model | Paper | Date |
|---|---|---|---|
| Time Series Classification | CNN | Proprioception Is All You Need: … | 2024-03-25 |
| Time Series Classification | Mamba | Proprioception Is All You Need: … | 2024-03-25 |
Recent papers with results on this dataset: