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Dynamic Occupancy Grid Prediction for Urban Autonomous Driving: A Deep Learning Approach with Fully Automatic Labeling., , and . ICRA, page 2056-2063. IEEE, (2018)Wiederverwendung von Lernressourcen mittels Authoring by Aggregation im ResourceCenter., , and . DeLFI, volume P-66 of LNI, page 153-164. GI, (2005)Robot localization using 3D-models and an off-board monocular camera., and . ICCV Workshops, page 1006-1013. IEEE Computer Society, (2011)Offline Object Extraction from Dynamic Occupancy Grid Map Sequences., , , and . Intelligent Vehicles Symposium, page 389-396. IEEE, (2018)Learning Long-Term Situation Prediction for Automated Driving., , and . ICMLA, page 1000-1005. IEEE, (2017)Deep Object Tracking on Dynamic Occupancy Grid Maps Using RNNs., , , and . ITSC, page 3852-3858. IEEE, (2018)Probabilistic long-term prediction for autonomous vehicles., , and . Intelligent Vehicles Symposium, page 237-243. IEEE, (2017)Evaluation von Datenbanken zur Speicherung von strukturierten Metadaten am Beispiel LOM., , , and . DeLFI, volume P-37 of LNI, page 215-224. GI, (2003)Wiederverwendung von digitalen Lernobjekten in einem auf Aggregation basierenden Autorenprozess. TU Darmstadt, Germany, (2006)base-search.net (ftulbdarmstadt:oai:tuprints.ulb.tu-darmstadt.de:650).Dynamic Occupancy Grid Prediction for Urban Autonomous Driving: A Deep Learning Approach with Fully Automatic Labeling., , and . CoRR, (2017)