World Library  

QR link for Trajectory-based Registration of 3D Lidar Point Clouds Acquired with a Mobile Mapping System : Volume I-3, Issue 1 (20/07/2012)
Add to Book Shelf
Flag as Inappropriate
Email this Book

Trajectory-based Registration of 3D Lidar Point Clouds Acquired with a Mobile Mapping System : Volume I-3, Issue 1 (20/07/2012)

By Gressin, A.

Click here to view

Book Id: WPLBN0004013575
Format Type: PDF Article :
File Size: Pages 6
Reproduction Date: 2015

Title: Trajectory-based Registration of 3D Lidar Point Clouds Acquired with a Mobile Mapping System : Volume I-3, Issue 1 (20/07/2012)  
Author: Gressin, A.
Volume: Vol. I-3, Issue 1
Language: English
Subject: Science, Isprs, Annals
Collections: Periodicals: Journal and Magazine Collection, Copernicus GmbH
Historic
Publication Date:
2012
Publisher: Copernicus Gmbh, Göttingen, Germany
Member Page: Copernicus Publications

Citation

APA MLA Chicago

Papelard, J., Mallet, C., Cannelle, B., & Gressin, A. (2012). Trajectory-based Registration of 3D Lidar Point Clouds Acquired with a Mobile Mapping System : Volume I-3, Issue 1 (20/07/2012). Retrieved from http://community.worldlibrary.net/


Description
Description: IGN, MATIS, 73 avenue de Paris, 94160 Saint-Mandé, France, Université Paris-Est. Thanks to a hybrid georeferencing unit coupling GNSS and IMU sensors, mobile mapping systems (MMS) with lidar sensors provide accurate 3D point clouds of the acquired areas, mainly urban cities. When dealing with several acquisitions of the same area with the same device, differences in the range of several tens of centimeters can be observed. Such degradation of the georeferencing accuracies are due to two main reasons: inertial drift and losses of GNSS signals in urban corridors. The purpose of this paper is therefore to correct these differences with an accurate ICP-based registration algorithm, and then to correct the MMS trajectory using these retrieved local transformation parameters.The trajectory loop information plays a key role for that purpose. We propose a four-step method starting from a 3D point cloud with overlapping parts, and the trajectory of the mobile mapping system. First, a polygonal approximation of the trajectory is computed in order to first divide the whole registration problem in local sub-issues. Secondly, we aim to find all the potential overlapping acquired areas between these segments using simple bounding box intersections. Thirdly, for each pair of overlapping areas, an efficient variant of the ICP algorithm is proposed to (1) prune cases where segments do not share point clouds of the same areas and (2) retrieve the transformation parameters, for real overlapping cases. Finally, all these transformations are linked together, and fed into a global distance compensation problem, allowing to adjust the MMS trajectories for several passages. As a conclusion, this method is successfully applied to data acquired over Paris (France) with the Stereopolis mobile mapping system.

Summary
TRAJECTORY-BASED REGISTRATION OF 3D LIDAR POINT CLOUDS ACQUIRED WITH A MOBILE MAPPING SYSTEM


 

Click To View

Additional Books


  • Deep Neural Networks for Above-ground De... (by )
  • Detection of Oil Pollution Hotspots and ... (by )
  • An Integrated Method for Mapping Impervi... (by )
  • Geospatial Data Quality of the Servir Co... (by )
  • Automatic Building Outlining from Multi-... (by )
  • Localization of Windows and Doors in 3D ... (by )
  • A Spatio-temporal Framework for Modeling... (by )
  • Design of an Indoor Mapping System Using... (by )
  • Joint 3D Estimation of Vehicles and Scen... (by )
  • Geometrical Adjustment Towards the Align... (by )
  • A Single Classifier Using Principal Comp... (by )
  • Image-based Rendering of Lod1 3D City Mo... (by )
Scroll Left
Scroll Right

 



Copyright © World Library Foundation. All rights reserved. eBooks from World Library are sponsored by the World Library Foundation,
a 501c(4) Member's Support Non-Profit Organization, and is NOT affiliated with any governmental agency or department.