SPATIAL ALIGNMENT OF POINT CLOUDS WITH FLOORPLANS

Autor: Karl Leiseder, Vladeta Stojanovic, Cigdem Askar, Harald Sternberg

Publikováno v: International Symposium on Applied Geoinformatics 2021.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::6c2b5fbdae6dd79ea05074a5a572fa33
https://doi.org/10.15659/isag2021.12310

A SERVICE-ORIENTED INDOOR POINT CLOUD PROCESSING PIPELINE

Autor: Rico Richter, Jürgen Döllner, Vladeta Stojanovic, Matthias Trapp

Publikováno v: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLII-2-W17, Pp 339-346 (2019)

Visualization of point clouds plays an important role in understanding the context of the digital representation of the built environment. Modern commodity mobile devices (e.g., smartphones and tablets), are capable of capturing representations in th

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5e5e511620eeb8c64fbc6a05888ac5d9
https://doi.org/10.5194/isprs-archives-xlii-2-w17-339-2019

Comparative visualization of BIM geometry and corresponding point clouds

Autor: Jürgen Döllner, Rico Richter, Vladeta Stojanovic, Matthias Trapp

Publikováno v: International Journal of Sustainable Development and Planning. 13:12-23

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::7b4ce9463e6a27e8c5bfab2dea826f05
https://doi.org/10.2495/sdp-v13-n1-12-23

Classification of Indoor Point Clouds Using Multiviews

Autor: Rico Richter, Jürgen Döllner, Vladeta Stojanovic, Matthias Trapp

Publikováno v: Web3D

We present an approach for classifying 3D point clouds of indoor environments using Convolutional Neural Network (CNN)-based image analysis for entropy-selected 3D views. Prior to classification, the 3D point clouds are clustered using either Density

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::5fab4f7585b72069059e47d34a52966f
https://doi.org/10.1145/3329714.3338129

Bridge damage: Detection, IFC-based semantic enrichment and visualization

Autor: Jürgen Döllner, Rade Hajdin, Matthias Trapp, Rico Richter, Vladeta Stojanovic, Dušan Isailović

Publikováno v: Automation in Construction

Building Information Modeling (BIM) representations of bridges enriched by inspection data will add tremendous value to future Bridge Management Systems (BMSs). This paper presents an approach for point cloud-based detection of spalling damage, as we

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::22243bd00aee739d5714fcd555e4930f
https://doi.org/10.1016/j.autcon.2020.103088