Vacant parking area estimation through background subtraction and transience map analysis

Postigo, Carlos Gálvez del; Torres, J. Andres; Menéndez, José Manuel

doi:10.1049/iet-its.2014.0090

Cited by 46 publications

(17 citation statements)

References 12 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…However, the presented work shows less precision and also not fully integrated into a distributed ITS system. Other related works that use smart camera for parking lots monitoring can be found in [13][14][15][16].…”

Section: Related Workmentioning

confidence: 99%

Real-Time Smart Parking Systems Integration in Distributed ITS for Smart Cities

Alam

Moroni

Pieri

et al. 2018

Journal of Advanced Transportation

View full text Add to dashboard Cite

Intelligent Transportation Systems (ITS) have evolved as a key research topic in recent years, revolutionizing the overall traffic and travel experience by providing a set of advanced services and applications. These data-driven services contribute to mitigate major problems arising from the ever growing need of transport in our daily lives. Despite the progress, there is still need for an enhanced and distributed solution that can exploit the data from the available systems and provide an appropriate and real-time reaction on transportation systems. Therefore, in this paper, we present a new architecture where the intelligence is distributed and the decisions are decentralized. The proposed architecture is scalable since the incremental addition of new peripheral subsystems is supported by the introduction of gateways which requires no reengineering of the communication infrastructure. The proposed architecture is deployed to tackle the problem of traffic management inefficiency in urban areas, where traffic load is substantially increased, by vehicles moving around unnecessarily, to find a free parking space. This can be significantly reduced through the availability and diffusion of local information regarding vacant parking slots to drivers in a given area. Two types of parking systems, magnetic and vision sensor based, have been introduced, deployed, and tested in different scenarios. The effectiveness of the proposed architecture, together with the proposed algorithms, is assessed in field trials.

show abstract

Section: Related Workmentioning

confidence: 99%

Real-Time Smart Parking Systems Integration in Distributed ITS for Smart Cities

Alam

Moroni

Pieri

et al. 2018

Journal of Advanced Transportation

View full text Add to dashboard Cite

show abstract

“…In detecting vehicles and parking spaces, Ling et al [4] used IoT technology to detect parking spaces for vehicles and developed a notification system. Postigo et al [8] used background subtraction method for vehicle detection and counting. Yu et al [11] established a prediction model for parking space usage based on the historical data of reconnaissance vacancies.…”

Section: Related Workmentioning

confidence: 99%

An Advising System for Parking Using Canny and K-Nn Techniques

Dow¹,

Wang²,

Ngo³

et al. 2019

Computer Science &Amp; Information Technology (CS &Amp; IT )

View full text Add to dashboard Cite

This study proposes a system which provides the parking characteristics and an application service platform. This system can be used to assist in selecting the parking space for drivers. The system can identify the contours of vehicles, such as cars and motorcycles by using the Canny algorithm. The data can be used to create the dataset and calculate the Parking density. Next, we use the k-nearest neighbour (K-NN) algorithm to produce the parking pattern. The model makes predictions for different conditions at different time.

show abstract

“…Occupancy is detected when the green dots become invisible due to a parked car. Postigo, et al [12] suggested a computationally efficient method for parking area estimation. Their method is to perform background subtraction and create a transience map, which in turn will be used for occupancy detection.…”

Section: Related Workmentioning

confidence: 99%

Vacant Parking Lot Information System Using Transfer Learning and IoT

Jose

Veni

2018

J. ICT Res. Appl.

View full text Add to dashboard Cite

Parking information systems have become very important, especially in metropolitan areas as they help to save time, effort and fuel when searching for parking. This paper offers a novel low-cost deep learning approach to easily implement vacancy detection at outdoor parking spaces with CCTV surveillance. The proposed method also addresses issues due to perspective distortion in CCTV images. The architecture consists of three classifiers for checking the availability of parking spaces. They were developed on the TensorFlow platform by retraining MobileNet (a pre-trained Convolutional Neural Network (CNN)) model using the transfer learning technique. A performance analysis showed 88% accuracy for vacancy detection. An end-to-end application model with Internet of Things (IoT) and an Android application is also presented. Users can interact with the cloud using their Android application to get real-time updates on parking space availability and the parking location. In the future, an autonomous car could use this system as a V2I (Vehicle to Infrastructure) application in deciding the nearest parking space.

show abstract

Vacant parking area estimation through background subtraction and transience map analysis

Cited by 46 publications

References 12 publications

Real-Time Smart Parking Systems Integration in Distributed ITS for Smart Cities

Real-Time Smart Parking Systems Integration in Distributed ITS for Smart Cities

An Advising System for Parking Using Canny and K-Nn Techniques

Vacant Parking Lot Information System Using Transfer Learning and IoT

Contact Info

Product

Resources

About