
Road Surface and Wetness
Dataset

- Bird's eye view road patches from calibrated cameras
- Large scale data acquisition on test track
- Three surface types: asphalt, cobblestone, concrete
- Accurate measurements for wetness annotation
RoadSaW dataset: balanced dataset with equal number of images for each of the 12 categories (3 surface types; 4 wetness levels)
- three patch sizes: s,m,l
- four patch distances: 7.5m, ..., 30m
!!! Check also the RoadSC dataset [2], providing Snow Covered Surfaces compatible with RoadSaW !!!


Presentation at CVPR 2022: Workshop on Autonomous Driving
- 06-20-2022, 5:20 pm: Spotlight/Poster presentation
- Supplementary video
- Paper at Computer Vision Foundation (CVF)
- Paper at ieeexplore


Version 1.0 - log.txt
Base Dataset -
Road Patches
RoadSaW Paper:
[1] K. Cordes, C. Reinders, P. Hindricks, J. Lammers, B. Rosenhahn, H. Broszio: "RoadSaW: A Large-Scale Dataset for Camera-Based Road Surface and Wetness Estimation", CVPR Workshop on Autonomous Driving, pp. 4440--4449, 2022
[2] K. Cordes and H. Broszio: "Camera-Based Road Snow Coverage Estimation", ICCV Workshop BRAVO, pp. 4011--4019, 2023


















