Forschung

• Direct Localization in HD Planning Maps
• Automatic Verification of High Precision Maps for Highly Automated Driving
• Automatic Generation of High Precision Maps for Automated Driving

Zu vergebende Bachelor-, Masterarbeiten

• Learning Vectorial / Parametric Representations from Pixel-wise Labeled Data
• Kartenverifikation über eindeutige Landmarkenkonstellationen
• Deep Geometric Map Learning mittels neuronaler Graphennetze (GNNs)
• Detektion von Kartenmerkmalen in Luftbildern mit neuronalen Netzen / Deep Learning
• Kartenverifikation mit maschinellen Lernverfahren
• Graphbasiertes Tracking von Objektdetektionen zum semi-automatischen Erstellen von Ground Truth

Veröffentlichungen

Annika Meyer, Philipp Skudlik, Jan-Hendrik Pauls, Christoph Stiller. YOLinO: Generic Single Shot Polyline Detection in Real Time. 2021. [ arXiv ]

Jan-Hendrik Pauls, Tobias Strauss, Carsten Hasberg, Martin Lauer, Christoph Stiller. HD Map Verification Without Accurate Localization Prior Using Spatio-Semantic 1D Signals. In 2020 IEEE Intelligent Vehicles Symposium (IV), Seiten 680--686, 2020. [ DOI ]

Jannik Quehl, Shengchao Yan, Sascha Wirges, Jan-Hendrik Pauls, Martin Lauer. Estimating Object Shape and Movement Using Local Occupancy Grid Maps. IFAC-PapersOnLine, 52(8):87 -- 92, 2019. 10th IFAC Symposium on Intelligent Autonomous Vehicles IAV 2019. [ DOI | http ]

Jan-Hendrik Pauls, Tobias Strauss, Carsten Hasberg, Martin Lauer, Christoph Stiller. Can We Trust Our Maps? An Evaluation of Road Changes and a Dataset for Map Validation. In Proc. IEEE Intell. Trans. Syst. Conf., Seiten 2639--2644, Hawaii, USA, November 2018. [ DOI ]

Fabian Poggenhans, Jan-Hendrik Pauls, Johannes Janosovits, Stefan Orf, Maximilian Naumann, Florian Kuhnt, Matthias Mayr. Lanelet2: A High-Definition Map Framework for the Future of Automated Driving. In Proc. IEEE Intell. Trans. Syst. Conf., Seiten 1672--1679, Hawaii, USA, November 2018. [ DOI | .pdf ]