A Novel Vehicle Detection Method Based on the Fusion of Radio Received Signal Strength and Geomagnetism
A geomagnetic signal blind zone exists between the front and rear axle of high-chassis vehicle such as trucks and buses, which leads to multiple-detection problem in detecting those vehicles running at low speed on roads or error-detection problem in the case of the stopping position of the vehicle...
Main Authors: | , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2018-12-01
|
Series: | Sensors |
Subjects: | |
Online Access: | http://www.mdpi.com/1424-8220/19/1/58 |
id |
doaj-7d4060126fa6483c8027b72aa01d77b6 |
---|---|
record_format |
Article |
spelling |
doaj-7d4060126fa6483c8027b72aa01d77b62020-11-24T23:30:10ZengMDPI AGSensors1424-82202018-12-011915810.3390/s19010058s19010058A Novel Vehicle Detection Method Based on the Fusion of Radio Received Signal Strength and GeomagnetismLiangliang Lou0Jinyi Zhang1Yong Xiong2Yanliang Jin3Key laboratory of Specialty Fiber Optics and Optical Access Networks, Joint International Research Laboratory of Specialty Fiber Optics and Advanced Communication, Shanghai Institute for Advanced Communication and Data Science, School of Communication and Information Engineering, Shanghai University, Shanghai 200072, ChinaKey laboratory of Specialty Fiber Optics and Optical Access Networks, Joint International Research Laboratory of Specialty Fiber Optics and Advanced Communication, Shanghai Institute for Advanced Communication and Data Science, School of Communication and Information Engineering, Shanghai University, Shanghai 200072, ChinaShanghai Institute of Microsystem and Information Technology, Chinese Academy of Science, Shanghai 200050, ChinaKey laboratory of Specialty Fiber Optics and Optical Access Networks, Joint International Research Laboratory of Specialty Fiber Optics and Advanced Communication, Shanghai Institute for Advanced Communication and Data Science, School of Communication and Information Engineering, Shanghai University, Shanghai 200072, ChinaA geomagnetic signal blind zone exists between the front and rear axle of high-chassis vehicle such as trucks and buses, which leads to multiple-detection problem in detecting those vehicles running at low speed on roads or error-detection problem in the case of the stopping position of the vehicle is not standard when waiting for the traffic light to change. In order to improve the detection accuracy of any type of vehicle running at any speed, a novel two-sensors data fusion vehicle detection method through combining received signal strength from radio stations with geomagnetism around vehicles is designed and verified in the paper. Experimental results show that the accuracy of our proposed method can reach 95.4% and traditional single magnetism-based detection method was only 83.4% in the detection of high-chassis vehicles.http://www.mdpi.com/1424-8220/19/1/58vehicle detectiongeomagnetismreceived signal strengthtwo-sensors fusion |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Liangliang Lou Jinyi Zhang Yong Xiong Yanliang Jin |
spellingShingle |
Liangliang Lou Jinyi Zhang Yong Xiong Yanliang Jin A Novel Vehicle Detection Method Based on the Fusion of Radio Received Signal Strength and Geomagnetism Sensors vehicle detection geomagnetism received signal strength two-sensors fusion |
author_facet |
Liangliang Lou Jinyi Zhang Yong Xiong Yanliang Jin |
author_sort |
Liangliang Lou |
title |
A Novel Vehicle Detection Method Based on the Fusion of Radio Received Signal Strength and Geomagnetism |
title_short |
A Novel Vehicle Detection Method Based on the Fusion of Radio Received Signal Strength and Geomagnetism |
title_full |
A Novel Vehicle Detection Method Based on the Fusion of Radio Received Signal Strength and Geomagnetism |
title_fullStr |
A Novel Vehicle Detection Method Based on the Fusion of Radio Received Signal Strength and Geomagnetism |
title_full_unstemmed |
A Novel Vehicle Detection Method Based on the Fusion of Radio Received Signal Strength and Geomagnetism |
title_sort |
novel vehicle detection method based on the fusion of radio received signal strength and geomagnetism |
publisher |
MDPI AG |
series |
Sensors |
issn |
1424-8220 |
publishDate |
2018-12-01 |
description |
A geomagnetic signal blind zone exists between the front and rear axle of high-chassis vehicle such as trucks and buses, which leads to multiple-detection problem in detecting those vehicles running at low speed on roads or error-detection problem in the case of the stopping position of the vehicle is not standard when waiting for the traffic light to change. In order to improve the detection accuracy of any type of vehicle running at any speed, a novel two-sensors data fusion vehicle detection method through combining received signal strength from radio stations with geomagnetism around vehicles is designed and verified in the paper. Experimental results show that the accuracy of our proposed method can reach 95.4% and traditional single magnetism-based detection method was only 83.4% in the detection of high-chassis vehicles. |
topic |
vehicle detection geomagnetism received signal strength two-sensors fusion |
url |
http://www.mdpi.com/1424-8220/19/1/58 |
work_keys_str_mv |
AT lianglianglou anovelvehicledetectionmethodbasedonthefusionofradioreceivedsignalstrengthandgeomagnetism AT jinyizhang anovelvehicledetectionmethodbasedonthefusionofradioreceivedsignalstrengthandgeomagnetism AT yongxiong anovelvehicledetectionmethodbasedonthefusionofradioreceivedsignalstrengthandgeomagnetism AT yanliangjin anovelvehicledetectionmethodbasedonthefusionofradioreceivedsignalstrengthandgeomagnetism AT lianglianglou novelvehicledetectionmethodbasedonthefusionofradioreceivedsignalstrengthandgeomagnetism AT jinyizhang novelvehicledetectionmethodbasedonthefusionofradioreceivedsignalstrengthandgeomagnetism AT yongxiong novelvehicledetectionmethodbasedonthefusionofradioreceivedsignalstrengthandgeomagnetism AT yanliangjin novelvehicledetectionmethodbasedonthefusionofradioreceivedsignalstrengthandgeomagnetism |
_version_ |
1725542471501348864 |