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

Wei Yao; Stefan Hinz; Uwe Stilla

doi:10.1109/CVPRW.2010.5543901

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 proceeding › Conference article published in proceeding or book › Academic research › peer-review

5 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 language	English
Title of host publication	2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Workshops, CVPRW 2010
Pages	75-82
Number of pages	8
DOIs	https://doi.org/10.1109/CVPRW.2010.5543901
Publication status	Published - 17 Sept 2010
Externally published	Yes
Event	2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Workshops, CVPRW 2010 - San Francisco, CA, United States Duration: 13 Jun 2010 → 18 Jun 2010

Conference

Conference	2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Workshops, CVPRW 2010
Country/Territory	United States
City	San Francisco, CA
Period	13/06/10 → 18/06/10

ASJC Scopus subject areas

Computer Vision and Pattern Recognition
Electrical and Electronic Engineering

More information

10.1109/CVPRW.2010.5543901

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title = "Airborne analysis and assessment of urban traffic scenes from LiDAR data - Theory and experiments",

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.",

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doi = "10.1109/CVPRW.2010.5543901",

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Yao, W, Hinz, S & Stilla, U 2010, Airborne analysis and assessment of urban traffic scenes from LiDAR data - Theory and experiments. in 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Workshops, CVPRW 2010., 5543901, pp. 75-82, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Workshops, CVPRW 2010, San Francisco, CA, United States, 13/06/10. https://doi.org/10.1109/CVPRW.2010.5543901

Airborne analysis and assessment of urban traffic scenes from LiDAR data - Theory and experiments. / Yao, Wei; Hinz, Stefan; Stilla, Uwe.
2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Workshops, CVPRW 2010. 2010. p. 75-82 5543901.

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

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

Abstract

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ASJC Scopus subject areas

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