Wang Manyi, Yang Jiaxing, Huang Binghua, Yang Yuan, Xu Yadong
The School of Mechanical Engineering, NanJing University of Science and Technology, NanJing 210094, China.
The School of Instrument Science and Engineering, Southeast University, NanJing 211189, China.
Sensors (Basel). 2020 Jul 5;20(13):3775. doi: 10.3390/s20133775.
Device-free localization (DFL) is a promising technique which could provide localization information for a target without requiring an electronic device. With the development of the smart city and smart transportation, DFL could form part of a basic technique that could be used to track and localize roadside vehicles. In this paper, some algorithms for three-dimensional (3D) DFL for vehicle surveillance are developed, including statistical methods for data, a method for communication link selection, a novel method of communication link weight allocation and some other minor approaches to obtain the location and approximate size of a static vehicle, as a basic technique of moving vehicle detection. Then, an experimental system is designed. Through security monitoring wireless sensor networks (WSN), real-time vehicle characteristics (i.e., location and size) are calculated automatically and intuitively displayed through a heat map. Experiments are performed to validate the effect of the proposal and the accuracy of the localization and size estimation.
无设备定位（DFL）是一项很有前景的技术，它无需电子设备就能为目标提供定位信息。随着智慧城市和智能交通的发展，DFL可成为用于跟踪和定位路边车辆的一项基础技术。本文开发了一些用于车辆监控的三维（3D）DFL算法，包括数据统计方法、通信链路选择方法、一种新颖的通信链路权重分配方法以及其他一些用于获取静态车辆位置和大致尺寸的次要方法，作为移动车辆检测的一项基础技术。然后，设计了一个实验系统。通过安全监控无线传感器网络（WSN），可自动计算实时车辆特征（即位置和尺寸），并通过热图直观显示。进行实验以验证该方案的效果以及定位和尺寸估计的准确性。
