A Vehicle Speed Estimation Algorithm Based on Dynamic Time Warping Approach

被引：23

作者：

Zhang, Zusheng ^{[1
]}

Zhao, Tiezhu ^{[1
]}

Ao, Xin ^{[1
]}

Yuan, Huaqiang ^{[1
]}

机构：

[1] Dongguan Univ Technol, Dept Comp, Dongguan 518055, Peoples R China

来源：

IEEE SENSORS JOURNAL | 2017年 / 17卷 / 08期

关键词：

Vehicle detection; speed estimation; wireless sensor network; dynamic time warping; CLASSIFICATION; DIRECTION; SENSORS;

D O I：

10.1109/JSEN.2017.2672735

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

At present, the research of vehicle speed estimation algorithm based on wireless magnetic sensor networks has made great progress. The general idea of the existing algorithms is to calculate the similarity of two magnetic signatures by Euclidean distance or cross correlation function. However, these methods are not well suitable for the time distorted waveforms. This paper adopts the dynamic time warping (DTW) approach to measure the similarity, and then a speedup version of DTW is proposed. Experimental results are presented from a large number of vehicles to show that the proposed speedup DTW reduces the runtime and improves the accuracy of speed estimation.

引用

页码：2456 / 2463

页数：8

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