Multisensor Based Generation of Templates for Object Tracking in Complex Scenarios. - Carmen Witte; Klaus Jäger; Walter Armbruster; Marcus Hebel (GI Jahrestagung (2), 2007)

The Accuracy of Scene Reconstruction From IR Images Based on Known Camera Positions - An Evaluation with the Aid of LiDAR Data. - Stefan Lang 005; Marcus Hebel; Michael Kirchhof (VISAPP (2), 2008)

Accurate Single Image Multi-modal Camera Pose Estimation. - Christoph Bodensteiner; Marcus Hebel; Michael Arens (ECCV Workshops (1), 2010)

Change Detection in Urban Areas by Direct Comparison of Multi-view and Multi-temporal ALS Data. - Marcus Hebel; Michael Arens; Uwe Stilla (PIA, 2011)

Simultaneous Calibration of ALS Systems and Alignment of Multiview LiDAR Scans of Urban Areas. - Marcus Hebel; Uwe Stilla (IEEE Trans. Geosci. Remote. Sens., 2012)

A Descriptor and Voting Scheme for Fast 3D Self-Localization in Man-Made Environments. - Marvin Gordon; Marcus Hebel; Michael Arens (CRV, 2016)

Data Anonymization for Data Protection on Publicly Recorded Data. - David Münch; Ann-Kristin Grosselfinger; Erik Krempel; Marcus Hebel; Michael Arens (ICVS, 2019)

TUM-MLS-2016: An Annotated Mobile LiDAR Dataset of the TUM City Campus for Semantic Point Cloud Interpretation in Urban Areas. - Jingwei Zhu; Joachim Gehrung; Rong Huang 001; Björn Borgmann; Zhenghao Sun; Ludwig Hoegner; Marcus Hebel; Yusheng Xu; Uwe Stilla (Remote. Sens., 2020)

MODISSA: a multipurpose platform for the prototypical realization of vehicle-related applications using optical sensors. - Björn Borgmann; Volker Schatz; Marcus Hammer; Marcus Hebel; Michael Arens; Uwe Stilla (CoRR, 2021)