Target-based terrestrial laser scan registration extended by target orientation

Jannik Janßen, Heiner Kuhlmann, Christoph Holst

Research output: Contribution to journalArticlepeer-review

8 Scopus citations

Abstract

In almost all projects, in which terrestrial laser scanning is used, the scans must be registered after the data acquisition. Despite more and more new and automated methods for registration, the classical target-based registration is still one of the standard procedures. The advantages are obvious: independence from the scan object, the geometric configuration can often be influenced and registration results are easy to interpret. When plane black-and-white targets are used, the algorithm for estimating the target center fits a plane through the scan of a target, anyway. This information about the plane orientation has remained unused so far. Hence, including this information in the registration does not require any additional effort in the scanning process. In this paper, we extend the target-based registration by the plane orientation. We describe the required methodology, analyze the benefits in terms of precision and reliability and discuss in which cases the extension is useful and brings a relevant advantage. Based on simulations and two case studies we find out that especially for registrations with bad geometric configurations the extension brings a big advantage. The extension enables registrations that are much more precise. These are also visible on the registered point clouds. Thus, only a methodological change in the target-based registration improves its results.

Original languageEnglish
Pages (from-to)91-106
Number of pages16
JournalJournal of Applied Geodesy
Volume16
Issue number2
DOIs
StatePublished - 1 Apr 2022

Keywords

  • network analysis
  • plane orientation
  • plane registration
  • target registration
  • terrestrial laser scanner

Fingerprint

Dive into the research topics of 'Target-based terrestrial laser scan registration extended by target orientation'. Together they form a unique fingerprint.

Cite this