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Road Surface and Wetness
Dataset

<Under Construction>

RoadSaW:
Dataset for Camera-Based Road Surface and Wetness Estimation

Objective: Evaluation and Development of Approaches for Road Condition Estimation [1]
  • Bird's eye view road patches at different vehicle distances generated from calibrated cameras
  • Three different surfaces: asphalt, cobblestone, concrete
  • Accurate water film height measurements; sprinklers provide controlled conditions
Presentation at CVPR 2022: Workshop on Autonomous Driving
  • 06-20-2022, 5:20 pm: Spotlight/Poster presentation

  • Supplementary video soon on our youtube channel

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Version 1.0
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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, 2022

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