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Exploiting Sparse Semantic HD Maps for Self-Driving Vehicle Localization., , , , , , , , , and . IROS, page 5304-5311. IEEE, (2019)Deep Multi-Sensor Lane Detection., , , , , and . CoRR, (2019)Enhancing Road Maps by Parsing Aerial Images Around the World., , , and . ICCV, page 1689-1697. IEEE Computer Society, (2015)DeepRoadMapper: Extracting Road Topology from Aerial Images., , and . ICCV, page 3458-3466. IEEE Computer Society, (2017)HD Maps: Fine-Grained Road Segmentation by Parsing Ground and Aerial Images., , , and . CVPR, page 3611-3619. IEEE Computer Society, (2016)Deep Multi-Sensor Lane Detection., , , , , and . IROS, page 3102-3109. IEEE, (2018)Joint Information Augmentation of Road Maps, Aerial Images and Ground Images (Gemeinsame Information Verbesserung in Straßenkarten, Luft- und Bodenbilder). Technical University of Munich, Germany, (2016)Pit30M: A Benchmark for Global Localization in the Age of Self-Driving Cars., , , , , , and . IROS, page 4477-4484. IEEE, (2020)Matching Adversarial Networks., and . CVPR, page 8024-8032. Computer Vision Foundation / IEEE Computer Society, (2018)