Digital terrain model generation using LiDAR Ground Points

Andi Zang, Xin Chen, Goce P Trajcevski

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

As the trend of autonomous self-driving cars is becoming more of a reality, High-quality navigation methods and tools become a paramount. This, in turn, is crucially dependent on High-definition maps, for which one of the enabling tools is high resolution Digital Terrain Model (DTM) - the role and values of which have already been demonstrated even in the settings of manned cars. Traditional DTM generation methods have insurmountable barriers in creating centimeter-level resolution. In this paper, we propose a novel method for fully-automated, high precision DTM generation using the database generated and maintained in our existed dataset, and with no additional overheads in terms of extract labor and equipment cost. The input data is a point cloud captured by the vehiclemount LiDAR devices which, naturally, has extremely large volume. We show how with Ground Points Processing and DTM Generation steps, we can generate a centimeter-resolution DTM and, as our experiments demonstrate, when compared to DTM form U.S. Geological Survey (USGS) and altitude data from a third party surveying dataset, our proposed DTM indeed provides a higher precision.

Original languageEnglish (US)
Title of host publicationProceedings of the 1st International ACM SIGSPATIAL Workshop on Smart Cities and Urban Analytics, UrbanGIS 2015
PublisherAssociation for Computing Machinery, Inc
Pages9-15
Number of pages7
ISBN (Electronic)9781450339735
DOIs
StatePublished - Nov 3 2015
Event1st International ACM SIGSPATIAL Workshop on Smart Cities and Urban Analytics, UrbanGIS 2015 - Bellevue, United States
Duration: Nov 3 2015Nov 6 2015

Other

Other1st International ACM SIGSPATIAL Workshop on Smart Cities and Urban Analytics, UrbanGIS 2015
Country/TerritoryUnited States
CityBellevue
Period11/3/1511/6/15

Keywords

  • Digital terrain model
  • GIS
  • LiDAR
  • Point cloud processing

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Building and Construction

Fingerprint

Dive into the research topics of 'Digital terrain model generation using LiDAR Ground Points'. Together they form a unique fingerprint.

Cite this