Vehicle Recognition In Aerial Lidar Point Cloud Based On Dynamic Time Warping

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Abstract

A two-step vehicle recognition method from an aerial Lidar point cloud is proposed in this paper. First, the Lidar point cloud is segmented using the region-growing algorithm with vehicle size limitation. Then the vehicle is recognized according to the profile shape based on dynamic time warping. The proposed method can detect vehicles parking under trees in an urban scene, and classifies the vehicles into different classes. The vehicle location, orientation, parking direction and size can also be determined. The experimental result based on a real urban Lidar point cloud shows that the proposed method can correctly recognize 95.1 % of vehicles.
Original languageEnglish
Title of host publicationProceedings ISPRS Geospatial Week 2017, 18-22 September 2017, Wuhan, China
EditorsD. Li
PublisherInternational Society for Photogrammetry and Remote Sensing (ISPRS)
Pages193-198
Number of pages6
DOIs
Publication statusPublished - 2017
EventISPRS Geospatial Week 2017 - Wuhan, China
Duration: 18 Sept 201722 Sept 2017
https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-2-W7/ (Full text Open Access proceedings)

Publication series

NameISPRS Annals
PublisherISPRS
VolumeIV-2/W4
ISSN (Print)2194-9050

Conference

ConferenceISPRS Geospatial Week 2017
Country/TerritoryChina
CityWuhan
Period18/09/1722/09/17
Internet address

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