We propose an algorithm for pedestrian lane detection in unstructured scenes.
Vanishing point is found via color tensor and local orientations of edge pixels.
Sample lane region is then located via color and geometrics features of lane.
A lane model adaptive to the input image is constructed for lane segmentation.
We create a dataset for vanishing point estimation and pedestrian lane detection.