Implementation of a Magnetometer based Vehicle Detection System for Smart Parking applications

Floris, Alessandro; Girau, Roberto; Porcu, Simone; Pettorru, Giovanni; Atzori, Luigi

doi:10.1109/isc251055.2020.9239005

Cited by 11 publications

(5 citation statements)

References 15 publications

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“…Saharan et al [6] suggested a machine learning-based parking slot prediction process by sharing the secured information among the parties such as owners, agencies, and other stakeholders. Floris et al [7] discussed the sensorbased parking slot allocation to detect the parking slot for the arriving vehicles automatically using a magnetometer, which helps to protect the drivers and vehicle information to be shared among the network. Buldakov et al [8] introduced an open-source solution using a smart contract-based parking system in highly urbanized areas.…”

Section: Approach To Smart Parking Systems Using the Internet Of Thingsmentioning

confidence: 99%

Asymmetric Consortium Blockchain and Homomorphically Polynomial-Based PIR for Secured Smart Parking Systems

Haritha¹,

Anitha²

2023

Computers, Materials &Amp; Continua

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In crowded cities, searching for the availability of parking lots is a herculean task as it results in the wastage of drivers' time, increases air pollution, and traffic congestion. Smart parking systems facilitate the drivers to determine the information about the parking lot in real time and book them depending on the requirement. But the existing smart parking systems necessitate the drivers to reveal their sensitive information that includes their mobile number, personal identity, and desired destination. This disclosure of sensitive information makes the existing centralized smart parking systems more vulnerable to service providers' security breaches, single points of failure, and bottlenecks. In this paper, an Improved Asymmetric Consortium Blockchain and Homomorphically Computing Univariate Polynomial-based private information retrieval (IACB-HCUPPIR) scheme is proposed to ensure parking lots' availability with transparency security in a privacy-preserving smart parking system. In specific, an improved Asymmetric Consortium Blockchain is used for achieving secure transactions between different parties interacting in the smart parking environment. It further adopted the method of Homomorphically Computing Univariate Polynomial-based private information retrieval (HCUPPIR) scheme for preserving the location privacy of drivers. The results of IACB-HCUPPIR confirmed better results in terms of minimized computation and communication overload with throughput, latency, and response time with maximized drivers' privacy preservation. Moreover, the proposed fully homomorphic algorithm (FHE) was compared against partial-homomorphic encryption (PHE) and technique without encryption and found that the proposed model has quick communication in allocating the parking slots starting with 24.3 s, whereas PHE starts allocating from 24.7 s and the technique without encryption starts at 27.4 s. Thus, we ensure the proposed model performs well in allocating parking slots with less time and high security with privacy preservation.

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Section: Approach To Smart Parking Systems Using the Internet Of Thingsmentioning

confidence: 99%

Asymmetric Consortium Blockchain and Homomorphically Polynomial-Based PIR for Secured Smart Parking Systems

Haritha¹,

Anitha²

2023

Computers, Materials &Amp; Continua

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“…This makes them ideal for detecting the presence of a nearby metallic object. AMR sensors can be placed at regular intervals in a parking slot and connected to a central control unit [46]. When a vehicle pulls into a parking spot, the metal in the vehicle disturbs the magnetic field surrounding the sensor, changing its electrical resistance.…”

Section: Anisotropic Magneto Resistance (Amr) Sensorsmentioning

confidence: 99%

A Review of Parking Slot Types and their Detection Techniques for Smart Cities

Kumar,

Singh,

Raja

et al. 2023

Smart Cities

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Smart parking system plays a critical role in the overall development of the cities. The capability to precisely detect an open parking space nearby is necessary for autonomous vehicle parking for smart cities. Finding parking spaces is a big issue in big cities. Many of the existing parking guidance systems use fixed IoT sensors or cameras that are unable to offer information from the perspective of the driver. Accurately locating parking spaces can be difficult since they come in a range of sizes and colors that are blocked by objects that seem different depending on the environmental lighting. There are numerous auto industry players engaged in the advanced testing of driverless cars. A vacant parking space must be found, and the car must be directed to park there in order for the operation to succeed. The machine learning-based algorithms created to locate parking spaces and techniques and methods utilizing dashcams and fish-eye cameras are reviewed in this study. In response to the increase in dashcams, neural network-based techniques are created for identifying open parking spaces in dashcam videos. The paper proposed the review of the existing parking slot types and their detection techniques. The review will highlight the importance and scope of a smart parking system for smart cities.

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“…QMC5883L modules, based on Honeywell HMC5883L AMR magnetometers, were used for the vehicle detection in [ 22 ] and could reliably detect the presence of a vehicle in a parking spot when placed under the front or rear axle of the vehicle.…”

Section: Related Workmentioning

confidence: 99%

Which Digital-Output MEMS Magnetometer Meets the Requirements of Modern Road Traffic Survey?

Hodoň

Karpis

Ševčı́k

et al. 2021

Sensors

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Present systems for road traffic surveillance largely utilize MEMS magnetometers for the purpose of vehicle detection and classification. Magnetoresistive sensing or LR oscillation circuitry are technologies providing the sensors with the competitive advantage which lies in the energy efficiency and low price. There are several chip suppliers on the market who specialize in the development of these sensors. The aim of this paper is to compare available sensors from the viewpoint of their suitability for traffic measurements. A summary of the achieved results is given in the form of the score for each sensor. The introduced sensor chart should provide the audience with knowledge about pros and cons of sensors, especially if intended for the purposes of road traffic surveillance. The authors in this research focused on the specific situation of road traffic monitoring with magnetometers placed at the roadside.

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Implementation of a Magnetometer based Vehicle Detection System for Smart Parking applications

Cited by 11 publications

References 15 publications

Asymmetric Consortium Blockchain and Homomorphically Polynomial-Based PIR for Secured Smart Parking Systems

Asymmetric Consortium Blockchain and Homomorphically Polynomial-Based PIR for Secured Smart Parking Systems

A Review of Parking Slot Types and their Detection Techniques for Smart Cities

Which Digital-Output MEMS Magnetometer Meets the Requirements of Modern Road Traffic Survey?

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