Laupheimer, Dominik [2022]
On the Information Transfer Between Imagery, Point Clouds, and Meshes for Multi-Modal Semantics Utilizing Geospatial Data. München 2023, ISBN 978-3-7696-5309-0, 151 S., (identisch mit / identical with: OPUS – Online Publikationen der Universität Stuttgart, http://dx.doi.org/10.18419/opus-12668, Stuttgart 2022).

Haala, N.; Koelle, M.; Cramer, M.; Laupheimer, D. & Zimmermann, F. [2022]
Hybrid georeferencing of images and LiDAR data for UAV-based point cloud collection at millimetre accuracy. ISPRS Open Journal of Photogrammetry and Remote Sensing, 2022, 100014, ISSN 2667-3932.
DOI: 10.1016/j.ophoto.2022.100014

Koelle, M.; Laupheimer, D.; Schmohl, S.; Haala, N.; Rottensteiner, F.; Wegner, J.D. & Ledoux, H. [2021]
The Hessigheim 3D (H3D) benchmark on semantic segmentation of high-resolution 3D point clouds and textured meshes from UAV LiDAR and Multi-View-Stereo. ISPRS Open Journal of Photogrammetry and Remote Sensing, 1, 2021.
DOI: 10.1016/j.ophoto.2021.100001

Laupheimer, D. & Haala, N. [2021]
Juggling With Representations: On the Information Transfer Between Imagery, Point Clouds, and Meshes for Multi-Modal Semantics. ISPRS Journal of Photogrammetry and Remote Sensing, 176 (2021), 55-68.
DOI: 10.1016/j.isprsjprs.2021.03.007

Haala, N.; Koelle, M. & Laupheimer, D. [2020]
Integrating UAV-based LiDAR and Photogrammetry. GIM International May 2020, Volume 34, Issue 3, pp. 10-13 (2020).
URL: https://www.gim-international.com/content/article/integrating-uav-based-lidar-and-photogrammetry

Laupheimer, D., & Haala, N. [2022]
MULTI-MODAL SEMANTIC MESH SEGMENTATION IN URBAN SCENES. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, V-2–2022, 267--274.
DOI: 10.5194/isprs-annals-V-2-2022-267-2022

Koelle, M.; Laupheimer, D.; Walter, V.; Haala, N. & Soergel, U. [2021]
Which 3D Data Representation Does the Crowd Like Best? Crowd-Based Active Learning for Coupled Semantic Segmentation of Point Clouds and Textured Meshes. ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-2-2021, 93–100, 2021.
DOI: 10.5194/isprs-annals-V-2-2021-93-2021

Laupheimer, D.; Shams, M. H. & Haala, N. [2020]
The Importance of Radiometric Feature Quality for Semantic Mesh Segmentation. 40. Wissenschaftlich-Technische Jahrestagung der DGPF in Stuttgart – Publikationen der DGPF, Band 29, 2020, pp. 205-218.
URL: https://www.dgpf.de/src/tagung/jt2020/proceedings/proceedings/papers/27_DGPF2020_Laupheimer_et_al.pdf

Haala, N.; Koelle, M.; Cramer, M.; Laupheimer, D.; Mandlburger, G. & Glira, P. [2020]
Hybrid Georeferencing, Enhancement and Classification of Ultra-High Resolution UAV LiDAR and Image Point Clouds for Monitorig Applications. ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-2-2020, 727–734, 2020.
DOI: 10.5194/isprs-annals-V-2-2020-727-2020

Laupheimer, D.; Shams Eddin, M. H. & Haala, N. [2020]
On the Association of LiDAR Point Clouds and Textured Meshes for Multi-Modal Semantic Segmentation. ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-2-2020, 509–516, 2020.
DOI: 10.5194/isprs-annals-V-2-2020-509-2020

Cramer, M.; Mandlburger, G.; Laupheimer, D.; Haala, N. & Havel, P. [2019]
Potenzial ultrahoch-auflösender und -genauer UAV-basierter 3D-Datenerfassung. Dreiländertagung der DGPF, der OVG und der SGPF in Wien, Österreich – Publikationen der DGPF, Band 28, 2019, pp. 472-482.
URL: https://www.dgpf.de/src/tagung/jt2019/proceedings/proceedings/papers/80_3LT2019_Cramer_et_al.pdf

Tutzauer, P.; Laupheimer, D. & Haala, N. [2019]
Semantic Urban Mesh Enhancement Utilizing a Hybrid Model. ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2/W7, pp. 175–182.
DOI: 10.5194/isprs-annals-IV-2-W7-175-2019

Laupheimer, D.; Tutzauer, P.; Haala, N. & Spicker, M. [2018]
Neural Networks for the Classification of Building-use from Street-View Imagery. ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2, 177-184, 2018.
DOI: 10.5194/isprs-annals-IV-2-177-2018

Laupheimer, D, & Haala, N. [2018]
Deep Learning for the Classification of Building Facades. DGPF annual conference, München, Germany. Publikationen der DGPF, Band 27, 2018, pp.701-709.
URL: http://www.dgpf.de/src/tagung/jt2018/proceedings/proceedings/papers/28_PFGK18_KKN_01_Laupheimer_Haala.pdf

Koelle, M.; Laupheimer, D. & Haala, N. [2019]
Klassifikation hochaufgelöster LiDAR- und MVS-Punktwolken zu Monitoringzwecken. Dreiländertagung der DGPF, der OVG und der SGPF in Wien, Österreich – Publikationen der DGPF, Band 28, 2019, pp. 692-701.
URL: https://www.dgpf.de/src/tagung/jt2019/proceedings/proceedings/papers/07_KKNP_3LT19_Koelle_et_al.pdf

Haala, N.; Mandlburger, G.; Cramer, M. Laupheimer, D.; Koelle, M. [2019]
Kombinierte Analyse hochpräziser Punktwolken aus UAV-Photogrammetrie und -Laserscanning im Hinblick auf Setzungsmessungen. 20. Internationale Geodätische Woche Obergurgl 2019, 10 p.
URL: https://www.uibk.ac.at/geometrie-vermessung/gruppe_vermessung_und_geoinformation/geodaetische_wochen/obergurgl_2019/beitraege/vo_haala.pdf

Cramer, M.; Haala, N.; Laupheimer, D.; Mandlburger, G. & Havel, P. [2018]
Ultra-high precision UAV-based LiDAR and Dense Image Matching. Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-1, 115-120.
DOI: 10.5194/isprs-archives-XLII-1-115-2018

Walter, V.; Laupheimer, D. & Fritsch, D. [2016]
Use and Optimization of Paid Crowdsourcing for the Collection of Geodata. Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B4, pp. 253-257.
DOI: 10.5194/isprs-archives-XLI-B4-253-2016

Walter, V.; Laupheimer, D. & Fritsch, D. [2015]
Use of Paid Crowdsourcing for the Collection of Geodata. Pres. Paper, 1st ICA European Symposium on Cartography, Vienna.