使用激光雷达贴图自动添加注释的车道标记。
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.
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.
@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}
}