Airborne analysis and assessment of urban traffic scenes from LiDAR data - Theory and experiments

Wei Yao, Stefan Hinz, Uwe Stilla

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

4 Citations (Scopus)

Abstract

This paper investigates the theoretical background for LiDAR to monitor traffic from airborne platforms. An object moving with a velocity deviating from the assumptions incorporated in the scanning process will generally appear both stretched and sheared - motion artifacts. To study the impact of these deformations in airborne laser scanning (ALS) data, the analytic relations between an arbitrarily moving object and its conjugate in the ALS data have been examined and adapted to concrete airborne specifications. A complete scheme is proposed to analyze urban traffic in real-life situations. This scheme combines vehicle motion classification method successively with vehicle detection. Furthermore, the velocity of moving vehicles can be derived. The algorithmic performance was assessed with respect to reference data concurrently obtained by video camera.
Original languageEnglish
Title of host publication2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Workshops, CVPRW 2010
Pages75-82
Number of pages8
DOIs
Publication statusPublished - 17 Sep 2010
Externally publishedYes
Event2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Workshops, CVPRW 2010 - San Francisco, CA, United States
Duration: 13 Jun 201018 Jun 2010

Conference

Conference2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Workshops, CVPRW 2010
Country/TerritoryUnited States
CitySan Francisco, CA
Period13/06/1018/06/10

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Electrical and Electronic Engineering

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