A REPRESENTATION of MLS DATA AS A BASIS for TERRAIN NAVIGABILITY ANALYSIS and SENSOR DEPLOYMENT PLANNING

J. Gehrung, M. Hebel, M. Arens, U. Stilla

Research output: Contribution to journalConference articlepeer-review

2 Scopus citations

Abstract

Recording an ever-changing urban environment in a structured manner requires sensor deployment planning. In case of mobile sensor platforms, this also includes verifying the terrain navigability. Solving both tasks would usually require different application-specific data structures and tools. In this work, we propose a theoretical framework that provides a uniform representation for spatial information as well as the tools required to combine, manipulate and visualize it. We provide an efficient implementation of the framework utilizing octree-based evidence grids. Our approach can be used to solve complex tasks by combining simple spatial information sources, which we demonstrate by providing simple solutions to the aforementioned applications. Despite the use of a volumetric approach, our runtimes are within the range of minutes.

Original languageEnglish
Pages (from-to)39-46
Number of pages8
JournalISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Volume4
Issue number2/W7
DOIs
StatePublished - 16 Sep 2019
Event1st Photogrammetric Image Analysis and Munich Remote Sensing Symposium, PIA 2019+MRSS 2019 - Munich, Germany
Duration: 18 Sep 201920 Sep 2019

Keywords

  • Density Function
  • Heatmap
  • Mobile Laser Scanning
  • Occupancy Grid
  • Spatial Analysis

Fingerprint

Dive into the research topics of 'A REPRESENTATION of MLS DATA AS A BASIS for TERRAIN NAVIGABILITY ANALYSIS and SENSOR DEPLOYMENT PLANNING'. Together they form a unique fingerprint.

Cite this