A Novel Criterion for Vehicle Classification using Inductive Vehicle Signatures
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A Novel Criterion for Vehicle Classification using Inductive Vehicle SignaturesAuthor(s)
Date
2016-04Citation
Lamas-Seco, J.J. et al. (2016) International Journal of Advances in Computer Science & Its Applications, 6(1), pp. 64–67.
Abstract
[Abstract]: Inductive Loop Detectors (ILD) are the most
commonly used sensors in traffic management systems. Using
the acquired inductive signatures, most proposed systems
classify the vehicles using a criterion based on the estimation of
the vehicle length, which requires to have a good a-priori
estimate of its speed. Contrary to such standard proposals, in
this paper we present a method for vehicle classification based
on the criterion of the Fourier Transform (FT), which shows
several interesting properties: firstly, robustness against
variations in vehicle speed or constant acceleration, and
secondly, only one inductive signature is required. Our method
will be evaluated using real inductive signatures captured with
a hardware prototype also developed by us.
Keywords
Vehicle classification
Inductive loop detectors
Fourier transform
Sensors
Signal processing
Data acquisition
Data classification
Decision making
Hardware prototype
Inductive loop detectors
Fourier transform
Sensors
Signal processing
Data acquisition
Data classification
Decision making
Hardware prototype
Editor version
Rights
Atribución 3.0 España
ISSN
2250-3765