Estimating Road Segments Using Kernelized Averaging of GPS Trajectories

Pierre-François Marteau 1
1 EXPRESSION - Expressiveness in Human Centered Data/Media
UBS - Université de Bretagne Sud, IRISA-D6 - MEDIA ET INTERACTIONS
Abstract : 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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Submitted on : Monday, July 8, 2019 - 3:25:39 PM
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Pierre-François Marteau. Estimating Road Segments Using Kernelized Averaging of GPS Trajectories. Applied Sciences, MDPI, 2019, 9 (13), ⟨https://www.mdpi.com/2076-3417/9/13/2736⟩. ⟨10.3390/app9132736⟩. ⟨hal-02176080⟩

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