ISPRS-Annals ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences ISPRS-Annals ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci. 2194-9050 Copernicus Publications Göttingen, Germany 10.5194/isprs-annals-IV-2-W4-193-2017 VEHICLE RECOGNITION IN AERIAL LIDAR POINT CLOUD BASED ON DYNAMIC TIME WARPING Zhang T. 1 2 Vosselman G. 2 https://orcid.org/0000-0001-8813-8028 Oude Elberink S. J. 2 Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, 610031 Chengdu, China Faculty of Geo-Information Science and Earth Observation, University of Twente, 7500 AE Enschede, the Netherlands 13 09 2017 IV-2/W4 193 198 This work is licensed under the Creative Commons Attribution 4.0 International License. To view a copy of this licence, visit https://creativecommons.org/licenses/by/4.0/ This article is available from https://isprs-annals.copernicus.org/articles/isprs-annals-IV-2-W4-193-2017.html The full text article is available as a PDF file from https://isprs-annals.copernicus.org/articles/isprs-annals-IV-2-W4-193-2017.pdf

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.