Find Your Own Way: Weakly-Supervised Segmentation of Path Proposals for Urban Autonomy

5 Oct 2016Dan BarnesWill MaddernIngmar Posner

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 then use to train a deep semantic segmentation network... (read more)

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