Vehicle type classification from laser scans with global alignment kernels

Boris Chidlovskii, Gabriela Csurka, Jose Rodriguez-Serrano

Producció científica: Capítol de llibreContribució a congrés/conferènciaAvaluat per experts

7 Cites (Scopus)

Resum

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.

Idioma originalAnglès
Títol de la publicació2014 17th IEEE International Conference on Intelligent Transportation Systems, ITSC 2014
EditorInstitute of Electrical and Electronics Engineers Inc.
Pàgines2840-2845
Nombre de pàgines6
ISBN (electrònic)9781479960781
DOIs
Estat de la publicacióPublicada - 14 de nov. 2014
Publicat externament
Esdeveniment2014 17th IEEE International Conference on Intelligent Transportation Systems, ITSC 2014 - Qingdao, China
Durada: 8 d’oct. 201411 d’oct. 2014

Sèrie de publicacions

Nom2014 17th IEEE International Conference on Intelligent Transportation Systems, ITSC 2014

Conferència

Conferència2014 17th IEEE International Conference on Intelligent Transportation Systems, ITSC 2014
País/TerritoriChina
CiutatQingdao
Període8/10/1411/10/14

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