Find your own way: Weakly-supervised segmentation of path proposals for urban autonomy
Find your own way: Weakly-supervised segmentation of path proposals for urban autonomy
We present a weakly-supervised approach to segmenting proposed drivable paths in images with the goal of autonomous driving in complex urban environments. Using recorded routes from a data collection vehicle, our proposed method generates vast quantities of labelled images containing proposed paths and obstacles without requiring manual annotation, which we …