Multi-LiDAR Localization and Mapping Pipeline for Urban Autonomous Driving. - Florian Sauerbeck; Dominik Kulmer; Markus Pielmeier; Maximilian Leitenstern; Christoph Weiß; Johannes Betz (SENSORS, 2023)

Learn to See Fast: Lessons Learned From Autonomous Racing on How to Develop Perception Systems. - Florian Sauerbeck; Sebastian Huch; Felix Fent; Phillip Karle; Dominik Kulmer; Johannes Betz (IEEE Access, 2023)

EDGAR: An Autonomous Driving Research Platform - From Feature Development to Real-World Application. - Phillip Karle; Tobias Betz; Marcin Bosk; Felix Fent; Nils Gehrke; Maximilian Geisslinger; Luis Gressenbuch; Philipp Hafemann; Sebastian Huber; Maximilian Hübner; Sebastian Huch; Gemb Kaljavesi; et al. (CoRR, 2023)

FlexMap Fusion: Georeferencing and Automated Conflation of HD Maps with OpenStreetMap. - Maximilian Leitenstern; Florian Sauerbeck; Dominik Kulmer; Johannes Betz (IV, 2024)

Multi-LiCa: A Motion- and Targetless Multi - LiDAR-to-LiDAR Calibration Framework. - Dominik Kulmer; Ilir Tahiraj; Andrii Chumak; Markus Lienkamp (MFI, 2024)

OpenLiDARMap: Zero-Drift Point Cloud Mapping Using Map Priors. - Dominik Kulmer; Maximilian Leitenstern; Marcel Weinmann; Markus Lienkamp (VEHITS, 2025)

FlexCloud: Direct, Modular Georeferencing and Drift-Correction of Point Cloud Maps. - Maximilian Leitenstern; Marko Alten; Christian Bolea-Schaser; Dominik Kulmer; Marcel Weinmann; Markus Lienkamp (VEHITS, 2025)

CaLiV: LiDAR-to-Vehicle Calibration of Arbitrary Sensor Setups via Object Reconstruction. - Ilir Tahiraj; Markus Edinger; Dominik Kulmer; Markus Lienkamp (CoRR, 2025)