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.
CITATION STYLE
Wiemann, T., Mrozinski, M., Feldschnieders, D., Lingemann, K., & Hertzberg, J. (2016). Data handling in large-scale surface reconstruction. In Advances in Intelligent Systems and Computing (Vol. 302, pp. 499–511). Springer Verlag. https://doi.org/10.1007/978-3-319-08338-4_37
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