Vehicle type classification from laser scans with global alignment kernels

Boris Chidlovskii, Gabriela Csurka, Jose Antonio Rodriguez-Serrano

Research output: Book chapterConference contributionpeer-review

8 Citations (Scopus)

Abstract

This paper addresses the problem of vehicle classification using laser scanner profiles, which is usually found as a component of electronic tolling systems. Laser scanners obtain a 3D measurement of the vehicle surface. Previous approaches treated the laser scans as images. In addition to high-level features (such as width, height, length and other measurements) from the scanner profiles, feature descriptors have been used for supervised classification of laser scanner profiles. This allowed to deploy a generic approach to the image classification based on Fisher features. In this paper we adopt a different approach which extracts and analyses vehicle shapes from the laser scans. The method proceeds to finding typical vehicle shapes and classifying them through the global shape alignment.

Original languageEnglish
Title of host publication2014 17th IEEE International Conference on Intelligent Transportation Systems, ITSC 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2840-2845
Number of pages6
ISBN (Electronic)9781479960781
DOIs
Publication statusPublished - 14 Nov 2014
Externally publishedYes
Event2014 17th IEEE International Conference on Intelligent Transportation Systems, ITSC 2014 - Qingdao, China
Duration: 8 Oct 201411 Oct 2014

Publication series

Name2014 17th IEEE International Conference on Intelligent Transportation Systems, ITSC 2014

Conference

Conference2014 17th IEEE International Conference on Intelligent Transportation Systems, ITSC 2014
Country/TerritoryChina
CityQingdao
Period8/10/1411/10/14

Fingerprint

Dive into the research topics of 'Vehicle type classification from laser scans with global alignment kernels'. Together they form a unique fingerprint.

Cite this