An unsupervised monocular road segmentation method generates initial labels from horizon and quadrilateral geometric priors then refines them via temporal feature tracking and mutual information to reach 0.86 IoU on Cityscapes.
Learning motion and temporal cues for unsu- pervised video object segmentation.IEEE Transactions on Neural Networks and Learning Systems, 36(5):9084–9097
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Unsupervised Monocular Road Segmentation for Autonomous Driving via Scene Geometry
An unsupervised monocular road segmentation method generates initial labels from horizon and quadrilateral geometric priors then refines them via temporal feature tracking and mutual information to reach 0.86 IoU on Cityscapes.