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

页码：499 / 511

页数：13

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