765

博世公司车道标记数据集

llamas

博世 自动驾驶 车道识别

使用激光雷达贴图自动添加注释的车道标记。

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数据集市
2020年12月31日

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数据介绍

  • Over 100,000 annotated images
  • Annotations of over 100 meters
  • Resolution of 1276 x 717 pixels

Sample binary lane marker label

A SEGMENTATION CHALLENGE

Lane markers are tricky to annotate because of their median width of only 12 cm. At farther distances, the number of pixels gets very sparse and the markers start to blend with the asphalt in the camera image.

Sample lane marker curves

LANE APPROXIMATIONS

While pixel-level segmentation can be very useful for localization, some automated driving systems benefit from higher level representations such as splines, clothoids, or polynomials. This section of the dataset allows for evaluating existing and novel techniques.

CITATION

@inproceedings{llamas2019,   title={Unsupervised Labeled Lane Marker Dataset Generation Using Maps},
  author={Behrendt, Karsten and Soussan, Ryan},
  booktitle={Proceedings of the IEEE International Conference on Computer Vision},
  year={2019}
}
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