A Distributed Wireless Camera System for the Management of Parking Spaces

Vítek, Stanislav; Melničuk, Petr

doi:10.3390/s18010069

Cited by 30 publications

(14 citation statements)

References 19 publications

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“…IoT techniques, as mentioned by Salpietro et al (2015) open up new possibilities to take advantage of. The architecture proposed in this work focuses on the use of visual sensors, as presented by other authors (Bibi et al, 2018;de Almeida et al, 2015;Masmoudi et al, 2015Masmoudi et al, , 2014Nieto et al, 2018;Paidi et al, 2018;Shih & Tsai, 2014;Vítek et al, 2017); compared to those works, this proposal is not limited to the use of a single technique or machine learning algorithm, but allows the inclusion of several alternatives, leaving it up to the user to choose the most appropriate, even for each parking slot.…”

Section: Discussionmentioning

confidence: 99%

Where to park? Architecture and implementation of an empty parking lot, automatic recognition system

et al. 2019

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The traffic congestion present in practically every city has, among its increasing factors, the unavailability of enough parking spaces. A typical driver invests a considerable part of the total trip time looking for a free space where to park his vehicle; in many cases, this leads to delays and the consequent discomfort due to the undesired consequences of the generated tardiness. For this problem it is possible to find partial palliative solutions, minimizing the time spent searching for parking by applying Internet of Things techniques, oriented to smart cities and buildings. This research has been focused on finding an appropriate computer architecture that will allow the implementation of a distributed system, which, thanks to the use of computer vision and machine learning techniques, detects free parking spaces inside a parking lot, and provides real time information to the driver, allowing him to go as directly as possible to a vacant parking space.

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Section: Discussionmentioning

confidence: 99%

Where to park? Architecture and implementation of an empty parking lot, automatic recognition system

et al. 2019

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“…After pre-processing the images using Discrete Wavelet Transform (DWT), grayscale conversion, and binary thresholding, the authors in Vítek & Melničuk (2018) employed a simple image average as their feature descriptor. A threshold is applied in the feature descriptor for classification.…”

Section: Used Uniformmentioning

confidence: 99%

A Systematic Review on Computer Vision-Based Parking Lot Management Applied on Public Datasets

de Almeida,

Alves,

Parpinelli

et al. 2022

Preprint

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Computer vision-based parking lot management methods have been extensively researched upon owing to their flexibility and cost-effectiveness. To evaluate such methods authors often employ publicly available parking lot image datasets. In this study, we surveyed and compared robust publicly available image datasets specifically crafted to test computer vision-based methods for parking lot management approaches and consequently present a systematic and comprehensive review of existing works that employ such datasets. The literature review identified relevant gaps that require further research, such as the requirement of dataset-independent approaches and methods suitable for autonomous detection of position of parking spaces. In addition, we have noticed that several important factors such as the presence of the same cars across consecutive images, have been neglected in most studies, thereby rendering unrealistic assessment protocols. Furthermore, the analysis of the datasets also revealed that certain features that should be present when developing new benchmarks, such as the availability of video sequences and images taken in more diverse conditions, including nighttime and snow, have not been incorporated.

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“…WVSN (Wireless Vision Sensor Network) is a research field of sensor networks using multiple cameras [29,30]. [31] investigates the trade-off between battery consumption and quality of service depending on whether image processing is performed at the camera node, fog or cloud layer in a WVSN .…”

Section: Power Saving and Traffic Reductionmentioning

confidence: 99%

RW-QAnswer: an assisting system for intelligent environments using semantic technology

Shimoda

Diefenbach²,

Singh

et al. 2020

J Reliable Intell Environ

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We have seen rapid growth of Internet of Things (IoT) paradigm. Challenges of IoT include the need to obtain comprehensive environmental information using multiple and different types of sensors as well as the need to reduce the amount of bandwidth used by a large number of sensors. Especially when image sensors are used, a significant amount of bandwidth is used for sending images. In addition, the use of IoT devices need not be limited to experts who are good at handling sensors. For example, there is the home IoT system which is expected to be used at home by several users. Thus, it is necessary to have an interface which is easy to handle, even for people who are not good at handling data and sensors. To solve these problems, we use Resource Description Framework (RDF) used in the Semantic Web field as metadata of sensor data for comprehensive environmental information acquisition. Then, by linking with an existing RDF search system called QAnswer, which uses natural language, we create a system that enables sensor data search using natural language. Thus, we design an intelligent system which enables users to interact with sensors using natural language. By combining an RDF database and a server which controls the flow of messages, we then investigate the trade-off between the response time to a user's request and the amount of bandwidth usage by messages. Our results show that in a sensor network using RDF, it is possible to reduce the amount of communication traffic by optimally transferring RDF and sensor data only on arrival of a request and this can be done without much increase in the communication latency.

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A Distributed Wireless Camera System for the Management of Parking Spaces

Cited by 30 publications

References 19 publications

Where to park? Architecture and implementation of an empty parking lot, automatic recognition system

Where to park? Architecture and implementation of an empty parking lot, automatic recognition system

A Systematic Review on Computer Vision-Based Parking Lot Management Applied on Public Datasets

RW-QAnswer: an assisting system for intelligent environments using semantic technology

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