Objective: Evaluation and Development of Approaches for Road Condition Estimation [1]
RoadSC Dataset: balanced snow coverage dataset
RoadSC Dataset: balanced snow coverage dataset
- Three snow types
- Fresh Fallen Snow
- Fully Packed Snow
- Partially Covered Snow
- Bird's eye view road patches from calibrated cameras
- patch distance: 15m
- patch size: 3.6m x 3.6m= 12.96m2
- Compatible with RoadSaW [2]: the combination RoadSC / RoadSaW provides 15 category road condition dataset [1]
- RoadSaW : 3 surface types, each with 4 wetness levels
- RoadSC : 3 snow types
- Demonstration video [youtube]
- Paper at CVF
- Paper at ieeexplore
Presentation at ICCV 2023 Workshop BRAVO: roBustness and Reliability of Autonomous Vehicles in the Open-world
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Full-day workshop: 03-10-2023, @room E05
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Poster session #1: 10:30 - 11:15
- Poster [pdf]
Version 1.0
Dataset -
Road Patches
Download snow road patches [1]
- Categories: Fresh Fallen, Fully Packed, and Partially Covered
- RoadSC3, 30253 images per class
- RoadSC15, 2138 images per class (balanced to RoadSaW12 [2])
- to be combined with the RoadSaW12 dataset, distance d2v=15m, patch size 12.96m2 (large [2]) [direct download link]
References:
[1] K. Cordes and H. Broszio: "Camera-Based Road Snow Coverage Estimation", ICCV Workshop BRAVO, pp. 4011--4019, 2023
[2] 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