Ludwig Hoegner

Technical University of Munich, American Society for Photogrammetry and Remote Sensing

Papers

Total Citations

H-Index

About

Ludwig Hoegner is a researcher specializing in 3D scene reconstruction, sensor fusion, and thermal infrared (TIR) imaging, with a particular focus on indoor mapping and photogrammetric methods. His most impactful work centers on the challenging problem of integrating thermal infrared data with three-dimensional point clouds to create rich, radiometrically informative environmental models — a technically demanding task given TIR cameras' inherently low geometric resolution and sparse feature content. His most cited contribution, "Fusion of 3D Point Clouds with TIR Images for Indoor Scene Reconstruction" (2018, 13 citations), demonstrates how combining TIR radiometric information with complementary 3D sensing technologies can overcome the limitations of either modality alone. A companion study from the same year extends this approach to mobile mapping scenarios using terrestrial laser scanning (TLS) and RGB point clouds fused with TIR imagery, accumulating an additional 4 citations. Earlier work on precise multi-camera pose estimation (2013) highlights his broader expertise in indoor positioning, SLAM, and industrial photogrammetric measurement. Hoegner's research addresses real-world demands in building diagnostics, energy efficiency assessment, and autonomous navigation — fields where accurate thermal and spatial data are increasingly essential. His cross-modal fusion methodologies represent meaningful advances for the indoor mobile mapping community.