Investigation on the performance of velocity estimation of vehicles from airborne LiDAR data

Wei Yao; Uwe Stilla; Jianwei Wu; Stefan Hinz

doi:10.1109/JURSE.2011.5764705

Investigation on the performance of velocity estimation of vehicles from airborne LiDAR data

Wei Yao, Uwe Stilla, Jianwei Wu, Stefan Hinz

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

1 Citation (Scopus)

Abstract

Airborne LiDAR (ALS) data are characterized by involving not only rich spatial but also temporal information. It is possible to extract moving vehicles with motion artifacts from single-pass airborne LiDAR data, based on which the velocity of vehicles can be derived. In this paper, a series of methods for velocity estimation of moving vehicles using airborne LiDAR data is presented and evaluated. The decision to select the proper method can be therefore made upon examine theoretic accuracy depending on scanning configurations between sensor flight and moving vehicles.

Original language	English
Title of host publication	2011 Joint Urban Remote Sensing Event, JURSE 2011 - Proceedings
Pages	5-8
Number of pages	4
DOIs	https://doi.org/10.1109/JURSE.2011.5764705
Publication status	Published - 2 Jun 2011
Externally published	Yes
Event	IEEE GRSS and ISPRS Joint Urban Remote Sensing Event, JURSE 2011 - Munich, Germany Duration: 11 Apr 2011 → 13 Apr 2011

Conference

Conference	IEEE GRSS and ISPRS Joint Urban Remote Sensing Event, JURSE 2011
Country/Territory	Germany
City	Munich
Period	11/04/11 → 13/04/11

ASJC Scopus subject areas

Computer Networks and Communications

More information

10.1109/JURSE.2011.5764705

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title = "Investigation on the performance of velocity estimation of vehicles from airborne LiDAR data",

abstract = "Airborne LiDAR (ALS) data are characterized by involving not only rich spatial but also temporal information. It is possible to extract moving vehicles with motion artifacts from single-pass airborne LiDAR data, based on which the velocity of vehicles can be derived. In this paper, a series of methods for velocity estimation of moving vehicles using airborne LiDAR data is presented and evaluated. The decision to select the proper method can be therefore made upon examine theoretic accuracy depending on scanning configurations between sensor flight and moving vehicles.",

author = "Wei Yao and Uwe Stilla and Jianwei Wu and Stefan Hinz",

year = "2011",

month = jun,

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doi = "10.1109/JURSE.2011.5764705",

language = "English",

isbn = "9781424486571",

pages = "5--8",

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Investigation on the performance of velocity estimation of vehicles from airborne LiDAR data. / Yao, Wei; Stilla, Uwe; Wu, Jianwei et al.
2011 Joint Urban Remote Sensing Event, JURSE 2011 - Proceedings. 2011. p. 5-8 5764705.

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

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AU - Wu, Jianwei

AU - Hinz, Stefan

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AB - Airborne LiDAR (ALS) data are characterized by involving not only rich spatial but also temporal information. It is possible to extract moving vehicles with motion artifacts from single-pass airborne LiDAR data, based on which the velocity of vehicles can be derived. In this paper, a series of methods for velocity estimation of moving vehicles using airborne LiDAR data is presented and evaluated. The decision to select the proper method can be therefore made upon examine theoretic accuracy depending on scanning configurations between sensor flight and moving vehicles.

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M3 - Conference article published in proceeding or book

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BT - 2011 Joint Urban Remote Sensing Event, JURSE 2011 - Proceedings

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ER -

Investigation on the performance of velocity estimation of vehicles from airborne LiDAR data

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