Accuracy of light detection and ranging derived terrain data for highway location

David Veneziano, Shauna Hallmark, Reginald Souleyrette

Research output: Contribution to journalArticlepeer-review

11 Scopus citations

Abstract

Surface terrain information is required to economically site new or relocate existing infrastructure facilities and make final design plans. Currently, ground surveying and photogrammetric mapping are the methods used by Departments of Transportation (DOTs) to acquire these data. Both the methods are time and resource intensive as they require significant delta collection and reduction to provide the level of detail necessary for facility location. Additionally, conventional surveying entails data collection entirely in the field and may require personnel to be located on or near heavily traveled roadways. The research presented compares surface elevation data from Light Detection and Ranging (LIDAR) to that obtained from traditional photogrammetry and Global Positioning System (GPS) data collection for use in highway location and design. A pilot area previously mapped by the Iowa Department of Transportation was selected for evaluation. A comparison of the elevational accuracy and data quality of LIDAR with respect to two comparable collection methods is presented.

Original languageEnglish
Pages (from-to)130-143
Number of pages14
JournalComputer-Aided Civil and Infrastructure Engineering
Volume19
Issue number2
DOIs
StatePublished - Mar 2004

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Computer Science Applications
  • Computer Graphics and Computer-Aided Design
  • Computational Theory and Mathematics

Fingerprint

Dive into the research topics of 'Accuracy of light detection and ranging derived terrain data for highway location'. Together they form a unique fingerprint.

Cite this