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Article Dans Une Revue Applied Sciences Année : 2019

Estimating Road Segments Using Kernelized Averaging of GPS Trajectories

Résumé

A method called iTEKA, which stands for iterative time elastic kernel averaging, was successfully used for averaging time series. \mbox{In this paper}, we adapt it to GPS trajectories. The key contribution is a denoising procedure that includes an over-sampling scheme, the detection and removal of outlier trajectories, a kernelized time elastic averaging method, and a down-sampling as post-processing. The experiment carried out on benchmark datasets showed that the proposed procedure is effective and outperforms straightforward methods based on medoid or Euclidean averaging approaches.
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Dates et versions

hal-02176080 , version 1 (08-07-2019)

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Pierre-François Marteau. Estimating Road Segments Using Kernelized Averaging of GPS Trajectories. Applied Sciences, 2019, 9 (13), ⟨10.3390/app9132736⟩. ⟨hal-02176080⟩
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