Indoor 3D: Overview on scanning and reconstruction methods

V.V. Lehtola*, S. Nikoohemat, Andreas Nüchter

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review

Abstract

This chapter covers the essentials regarding indoor 3D data, from scanning to reconstruction. It is aimed for education and professionals. The order of presentation is background, history in measurement method development, sensors, sensor systems, positioning algorithms, reconstruction, and applications. The authors’ backgrounds are in indoor 3D, mobile laser scanning, indoor reconstruction, and robotics. In order to maintain a coherence in the text and provide some useful tools for the reader, we have selected to focus solely on the ICP version of simultaneous localization and mapping (SLAM). Regardless, this should give a solid base for the reader to understand other (e.g. probabilistic) indoor SLAM methods as well. Reconstruction algorithms (starting from room segmentation and opening detection) are discussed with the help of abundant figures. At the very end, we discuss future trends with a connection to the current applications and propose some exercise questions for students.
Original languageEnglish
Title of host publicationHandbook of Big Geospatial Data
EditorsMartin Werner, Yao-Yi Chiang
PublisherSpringer
Chapter3
Pages55-97
Number of pages42
ISBN (Electronic)978-3-030-55462-0
ISBN (Print)978-3-030-55462-0
DOIs
Publication statusPublished - 10 May 2021

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