Smart parking system for Internet of Things

Lee, Chungsan; Han, Youngtak; Jeon, Seongmin; Seo, Dongmahn; Jung, Inhwa

doi:10.1109/icce.2016.7430607

Cited by 51 publications

(18 citation statements)

References 4 publications

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“…Lee et al [33] propose a Smart Parking system to detect and find the parked location of a vehicle using ultrasonic and magnetic sensors. The proposed system detects vehicles in indoor and outdoor parking fields by using wireless sensors and BLE (Bluetooth Low Energy).…”

Section: B Smart Parking Systemsmentioning

confidence: 99%

Smart mobility: A survey

Faria¹,

Brito²,

Baras³

et al. 2017

2017 International Conference on Internet of Things for the Global Community (IoTGC)

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Internet of Things (IoT) describes a world where everyday objects are always connected to the Internet, allowing them to communicate and interact with each other. By connecting these everyday objects to the Internet and making them available everywhere at any time, IoT allows to remotely monitor, manage, and gather status information about them and their surrounding environment. IoT is a revolutionary concept that brought new experiences to everyday life and enabled Smart City initiatives all over the world. These initiatives are using a combination of technology paired with physical infrastructure and services, to improve people's quality of life. One of the highpriority domain to support the Smart City's vision is the field of Smart Mobility. This paper reviews the current IoT approaches and concepts related to Smart Cities and Smart Mobility. In addition, it analyzes distinct features and numerous applications covering both Intelligent Transportation and Real Time Traffic Management Systems.

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Section: B Smart Parking Systemsmentioning

confidence: 99%

Smart mobility: A survey

Faria¹,

Brito²,

Baras³

et al. 2017

2017 International Conference on Internet of Things for the Global Community (IoTGC)

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“…As the most important component of the PAS, the task of the object position designation is to detect a vacant parking slot accurately. The PAS can be divided into four categories based on the parking space detection method: free space-based [3][4][5][6][7], parking slot marking-based [8][9][10][11], interface-based [12][13][14], and infrastructure-based [15][16][17]. Compared with other methods, the parking slot marking-based approach can be applied in wider situations, since it does not depend on the existence of adjacent vehicles or extra communication equipment.…”

Section: Introductionmentioning

confidence: 99%

Vacant Parking Slot Detection in the Around View Image Based on Deep Learning

Cao

Yan

et al. 2020

Sensors

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Due to the complex visual environment, such as lighting variations, shadows, and limitations of vision, the accuracy of vacant parking slot detection for the park assist system (PAS) with a standalone around view monitor (AVM) needs to be improved. To address this problem, we propose a vacant parking slot detection method based on deep learning, namely VPS-Net. VPS-Net converts the vacant parking slot detection into a two-step problem, including parking slot detection and occupancy classification. In the parking slot detection stage, we propose a parking slot detection method based on YOLOv3, which combines the classification of the parking slot with the localization of marking points so that various parking slots can be directly inferred using geometric cues. In the occupancy classification stage, we design a customized network whose size of convolution kernel and number of layers are adjusted according to the characteristics of the parking slot. Experiments show that VPS-Net can detect various vacant parking slots with a precision rate of 99.63% and a recall rate of 99.31% in the ps2.0 dataset, and has a satisfying generalizability in the PSV dataset. By introducing a multi-object detection network and a classification network, VPS-Net can detect various vacant parking slots robustly.

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“…The researches in [20][21][22] have discussed about the placement of IoT modules to manage the available parking spaces. The research [23] proposed a smart parking system using wireless sensor in the form of bluetooth low energy (BLE), unfortunately this system did not display any detailed information about [24] has proposed the use of IoT technology using the ultrasonic sensor and camera to send the availability of empty parking space to the information centre of RESTful that can access by the parking users. In the RESTful web the data communication used is based on the HTTP protocol in which, when there are many users needing the information of empty parking spaces, the time response of RESTful system will be slower.…”

Section: Introductionmentioning

confidence: 99%

Smart parking management system using SSGA MQTT and real-time database

et al. 2020

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Smart parking system as a part of smart city development has been widely proposed with several research. In this research, proposed a system of parking management application that functions to monitor and control the location of parking slot that can be used by the parking management and parking users. The web application connected to ultrasonic sensor and GPS using MQTT protocol and real-time database. The research used modify algorithm of the SSGA, to optimize the allocation of empty parking slot and MQTT protocol to obtain the faster response time of the system when many users are accessing the website application. The results obtain a variation of sending delays from the client publish to firebase at 4 seconds. Meanwhile, for the sending delay from the broker to firebase the variation was at 2 seconds for each time of data sending.

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Smart parking system for Internet of Things

Cited by 51 publications

References 4 publications

Smart mobility: A survey

Smart mobility: A survey

Vacant Parking Slot Detection in the Around View Image Based on Deep Learning

Smart parking management system using SSGA MQTT and real-time database

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