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Vehicle Type classification from laser Scans with Global Alignment Kernels

Boris Chidlovskii, Gabriela Csurka, José A. Rodriguez
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.
17th International IEEE Conference on Intelligent Transportation Systems, Qingdao, China, October 8-11, 2014


2014-043.pdf (617.38 kB)