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document
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Lin, Y. (author), Pintea, S. (author), van Gemert, J.C. (author)
Current work on lane detection relies on large manually annotated datasets. We reduce the dependency on annotations by leveraging massive cheaply available unlabelled data. We propose a novel loss function exploiting geometric knowledge of lanes in Hough space, where a lane can be identified as a local maximum. By splitting lanes into separate...
conference paper 2021
Source URL (retrieved on 2024-05-25 21:01): https://repository.tudelft.nl/islandora/search/subject%3A%22Semi%255C-supervised%255C%252Blearning%22?f%5B0%5D=mods_subject_topic_ss%3A%22Lane%5C%20detection%22