Data Handling in Large-Scale Surface Reconstruction

被引：2
|
作者：
Wiemann, Thomas [1 ]
Mrozinski, Marcel [1 ]
Feldschnieders, Dominik [1 ]
Lingemann, Kai [2 ]
Hertzberg, Joachim [1 ,2 ]
机构：
[1] Univ Osnabruck, Knowledge Based Syst Grp, Albrechtstr 28, D-49076 Osnabruck, Germany
[2] Osnabruck Branch, DFKI Robot Innovat Ctr, Albert Einstein Str 1, D-49076 Osnabruck, Germany
来源：
INTELLIGENT AUTONOMOUS SYSTEMS 13 | 2016年 / 302卷
关键词：
Surface reconstruction; 3D laser scanning; Polygonal mapping;
D O I：
10.1007/978-3-319-08338-4_37
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
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.
引用
收藏
页码：499 / 511
页数：13
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