RoadSaW Logo

Road Surface and Wetness
Dataset

Camera View
Objective: Evaluation and Development of Approaches for Road Condition Estimation [1]
  • 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
Image
Road Patch
Image

Version 1.0  -  log.txt

Base Dataset -

Road Patches

The example images show a concrete surface captured from four different distances d2v with region sizes s, m, l. The water film height on the surface of this region is between 200 and 260 micrometers (very wet).
Patches set 75_s
  • Patch size small: 2.56 m2
  • Distance to vehicle d2v=7.5m
Patches set 75_m
  • Patch size medium: 7.84 m2
  • Distance to vehicle d2v=7.5m
Patches set 75_l
  • Patch size large: 12.96 m2
  • Distance to vehicle d2v=7.5m
Patches set 150_s
  • Patch size small: 2.56 m2
  • Distance to vehicle d2v=15.0m
Patches set 150_m
  • Patch size medium: 7.84 m2
  • Distance to vehicle d2v=15.0m
Patches set 150_l
  • Patch size large: 12.96 m2
  • Distance to vehicle d2v=15.0m
Patches set 225_s
  • Patch size small: 2.56 m2
  • Distance to vehicle d2v=22.5m
Patches set 225_m
  • Patch size medium: 7.84 m2
  • Distance to vehicle d2v=22.5m
Patches set 225_l
  • Patch size large: 12.96 m2
  • Distance to vehicle d2v=22.5m
Patches set 300_s
  • Patch size small: 2.56 m2
  • Distance to vehicle d2v=30.0m
Patches set 300_m
  • Patch size medium: 7.84 m2
  • Distance to vehicle d2v=30.0m
Patches set 300_l
  • Patch size large: 12.96 m2
  • Distance to vehicle d2v=30.0m

Close-to-Distribution (CtD) Datasets -

Road Patches
for domain change evaluation [1]

CtD-1
CtD1
  • Camera mounted on truck
CtD-2
CtD2
  • Camera mounted on car
CtD-3
CtD3
  • Camera mounted on car

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

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