Use of vehicle magnetic signatures for position estimation

Taghvaeeyan, Saber; Rajamani, Rajesh

doi:10.1063/1.3639274

Cited by 13 publications

(7 citation statements)

References 11 publications

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“…In Reference [21], a magnetic field model around a rectangular object was established. It was used in analyzing the impact of passing vehicles on the magnetic field.…”

Section: Model Of a Rectangular Objectmentioning

confidence: 99%

“…Since the simple model above was only used in analyzing the magnetic field generated by vehicles [21], it was considered for extension to buildings. The magnetic materials in a building are mainly composed of steel frames and concrete materials.…”

Section: Magnetic Field Variations Generated By the Buildingsmentioning

confidence: 99%

“…The magnetic influence produced by a building Figure 1. Field generated by a rectangular magnetic object [21].…”

Section: Magnetic Field Variations Generated By the Buildingsmentioning

confidence: 99%

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Feasibility Analysis of Magnetic Navigation for Vehicles

Huang

et al. 2019

Sensors

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Magnetic navigation is a promising positioning technique for scenarios where a global navigation satellite system (GNSS) is unavailable, such as for underwater submarines and aircraft in space. For ground scenarios, it faces more challenges, since the magnetic distribution suffers interference from surrounding objects such as buildings, bridges, and vehicles. It is natural to think how feasible it is to apply magnetic matching positioning to vehicles. In this paper, a theoretic distribution model is proposed to analyze the magnetic field around objects such as buildings, bridges, and vehicles. According to the experiments, it is shown that the proposed model matches the experimental data well. In addition, a comprehensive indicator metric is defined in this paper to describe the feasibility of the magnetic matching method based on the statistical characteristics of magnetic maps. The best length of matching window, anti-noise performance, and pre-comparison of positioning accuracy in different regions can be easily derived using the proposed comprehensive indicator metric. Finally, the metric is verified through a drive test using different building densities.

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“…In Reference [21], a magnetic field model around a rectangular object was established. It was used in analyzing the impact of passing vehicles on the magnetic field.…”

Section: Model Of a Rectangular Objectmentioning

confidence: 99%

Section: Magnetic Field Variations Generated By the Buildingsmentioning

confidence: 99%

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Feasibility Analysis of Magnetic Navigation for Vehicles

Huang

et al. 2019

Sensors

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“…Every vehicle has a magnetic field, a vehicle"s magnetic field has an inverse relationship with distance at small distances [13]. The relationship provides a way to estimate a vehicle"s position using its magnetic field when the vehicle is less than a few meters away, which could be useful for detecting imminent collisions just before they occur.…”

Section: Magnetic Readermentioning

confidence: 99%

Automatic Railway System

G¹,

Vidawat²,

Jha³

2017

IJCA

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The aim of this paper is to automate various operations related to opening and closing of railway gates in order to minimize the accidents at unmanned railway gates. This automatic system also identifies the person who is unnecessarily pulling the chains and alerts the station master about the position of train using GSM technique. It also identifies unwanted obstruction in the track by anti-collision technique and detects the breakage in track. This automatic railway system reduces the waiting time of road passengers at the railway crossings since it will identify the arrival of the train and there by closing the gate when needed.

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“…Magnetoresistance sensor, as one of the most active magnetic sensor technologies, which is widely applied in the vehicle positioning and navigation system, vehicle detection system, green transport systems, and so on [1]. Therefore, how to improve the efficiency of magnetoresistance sensor has been one of hot topics in these fields.…”

Section: Introductionmentioning

confidence: 99%

DC and AC transport properties on La0.8Sr0.2MnO3

Zhao

Yang

et al. 2014

J. Mod. Transport.

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Magnetoresistive sensor can be widely used in modern transportation field, such as the vehicle positioning and navigation system, vehicle detection system, and intelligent transportation system. In order to improve the efficiency of magnetoresistive sensor, we synthesized La 0.8 Sr 0.2 MnO 3 polycrystalline bulks at different sintering temperatures and investigated their DC and AC transport properties in this work. As a result, all samples showed insulator-metal (I-M) phase transition, and the transition temperature (T I-M) shifted to higher temperature with the increase of sintering temperature. The T I-M measured at different AC frequencies was smaller than that measured at DC condition, which implied that the I-M phase transition was suppressed at AC frequencies. The resistivity measured at high AC frequencies was larger than that measured at low AC frequencies, which could be attributed to the change of the magnetic penetration depth (d). However, the room-temperature AC-magnetoresistance (MR) at low frequencies was much larger than that at high frequencies and room-temperature DC-MR. These findings demonstrate that reducing the AC frequency is an effective way for enhancing the room-temperature MR, which can be used to promote the efficiency of magnetoresistive sensor.

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Use of vehicle magnetic signatures for position estimation

Cited by 13 publications

References 11 publications

Feasibility Analysis of Magnetic Navigation for Vehicles

Feasibility Analysis of Magnetic Navigation for Vehicles

Automatic Railway System

DC and AC transport properties on La0.8Sr0.2MnO3

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