Estimating Road Segments Using Kernelized Averaging of GPS Trajectories

Applied Sciences

Pierre-François Marteau¹ 

[1] IRISA, Université Bretagne Sud, 35000 Rennes, France;

关键词: GPS trajectory;    time series averaging;    noise reduction;    kernel methods;    dynamic time warping;   

DOI  :  10.3390/app9132736

来源: DOAJ

【 摘 要 】

A method called iTEKA, which stands for iterative time elastic kernel averaging, was successfully used for averaging time series. 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.

【 授权许可】

Unknown