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3D indoor modeling using a hand-held embedded system with multiple laser range scanners

  • Shaoxing Hu*
  • , Duhu Wang
  • , Shike Xu
  • *Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Accurate three-dimensional perception is a key technology for many engineering applications, including mobile mapping, obstacle detection and virtual reality. In this article, we present a hand-held embedded system designed for constructing 3D representation of structured indoor environments. Different from traditional vehicle-borne mobile mapping methods, the system presented here is capable of efficiently acquiring 3D data while an operator carrying the device traverses through the site. It consists of a simultaneous localization and mapping(SLAM) module, a 3D attitude estimate module and a point cloud processing module. The SLAM is based on a scan matching approach using a modern LIDAR system, and the 3D attitude estimate is generated by a navigation filter using inertial sensors. The hardware comprises three 2D time-flight laser range finders and an inertial measurement unit(IMU). All the sensors are rigidly mounted on a body frame. The algorithms are developed on the frame of robot operating system(ROS). The 3D model is constructed using the point cloud library(PCL). Multiple datasets have shown robust performance of the presented system in indoor scenarios.

Original languageEnglish
Title of host publicationOptical Measurement Technology and Instrumentation
EditorsSen Han, Jiubin Tan
PublisherSPIE
ISBN (Electronic)9781510607682
DOIs
StatePublished - 2016
EventInternational Symposium on Optical Measurement Technology and Instrumentation - Beijing, China
Duration: 9 May 201611 May 2016

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume10155
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Conference

ConferenceInternational Symposium on Optical Measurement Technology and Instrumentation
Country/TerritoryChina
CityBeijing
Period9/05/1611/05/16

Keywords

  • 3D modeling
  • light detection and ranging(LIDAR)
  • mobile mapping
  • simultaneous localization and mapping

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