The Unsupervised Labeled Lane Markers Dataset

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The Unsupervised Labeled Lane Markers Dataset

The Unsupervised Llamas dataset was annotated by creating high definition maps for automated driving including lane markers based on Lidar. The automated vehicle can be localized against these maps and the lane markers are projected into the camera frame. The 3D projection is optimized by minimizing the difference between already detected markers in the image and projected ones. Further improvements can likely be achieved by using better detectors, optimizing difference metrics, and adding some temporal consistency. Over 100,000 annotated images. Annotations of over 100 meters. Resolution of 1276 x 717 pixels.

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