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...
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| Format: | Conference item |
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Institute of Electrical and Electronics Engineers
2017
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