Publications
Authors:
  • Boris Chidlovskii , Gabriela Csurka , José A. Rodriguez
Citation:
17th International IEEE Conference on Intelligent Transportation Systems, Qingdao, China, October 8-11, 2014
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.
Year:
2014
Report number:
2014/043
Attachments: