Publikation

Data Handling in Large-Scale Surface Reconstruction

Thomas Wiemann, Marcel Mrozinski, Dominik Feldschnieders, Kai Lingemann, Joachim Hertzberg

In: Proceedings of the 13th International Conference. International Conference on Intelligent Autonomous Systems (IAS-13) 13th July 3-7 Shanghai China Seiten 499-511 ISBN 978-3-319-08337-7 Springer International Publishing 2016.

Abstrakt

Using high resolution laser scanners, it is possible to create consistent 3D point clouds of large outdoor environments in a short time. Mobile systems are able to measure whole cities efficiently and collect billions of data points. Such large amounts of data can usually not be processed on a mobile system. One approach to create a feasible environment representation that can be used on mobile robots is to compute a compact polygonal environment representation. This paper addresses problems and solutions when processing large point clouds for surface reconstruction.

Weitere Links

Deutsches Forschungszentrum für Künstliche Intelligenz
German Research Center for Artificial Intelligence