A 3-D scan matching using improved 3-D normal distributions transform for mobile robotic mapping

Eijiro Takeuchi, Takashi Tsubouchi

研究成果: Conference contribution

152 被引用数 (Scopus)

抄録

A 3D scan matching is an important component for sensor based localization and mapping by a mobile robot in natural environment. In this paper, the present authors propose a way to extend 2D Normal Distributions Transform(NDT) scan matching method to 3D scan matching, and its improvement for faster processing time. This scan matching method divides scan into voxels, and approximates scan points in each cell into normal distribution. That matching time is script O sign(N) with N of the number of input scan points. The authors describe in this paper, NDT for 3D scan points, its acceleration using the dual resolutions of NDT, and experiments of map building in large scale environments.

本文言語English
ホスト出版物のタイトル2006 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2006
ページ3068-3073
ページ数6
DOI
出版ステータスPublished - 2006 12月 1
イベント2006 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2006 - Beijing, China
継続期間: 2006 10月 92006 10月 15

出版物シリーズ

名前IEEE International Conference on Intelligent Robots and Systems

Other

Other2006 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2006
国/地域China
CityBeijing
Period06/10/906/10/15

ASJC Scopus subject areas

  • 制御およびシステム工学

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