research-article

iParking a real-time parking space monitoring and guiding system

Authors:

Hui-Ling ChangAuthors Info & Claims

Vehicular Communications, Volume 9, Issue C

Pages 301 - 305

https://doi.org/10.1016/j.vehcom.2017.04.001

Published: 01 July 2017 Publication History

Abstract

Shortage and imbalance of parking spaces have become serious problems in recent years. Drivers may choose nearby illegal area for parking when available parking spaces are all out of sight. To mitigate problems such as illegal parking, iParking, a real-time parking space monitoring and guiding system, is proposed in this paper. The paper lays emphasis on roadside parking. In the proposed system, the availability of parking spaces is recognized through image analysis, where the images come from the event recorders embedded in cars on the roads. Upon receipt of a parking request, the system searches for a nearest parking space, and then directly navigates the requesting driver to the available parking space. The system is expected to benefit all drivers and the government, and to improve safety and traffic on the roads.

References

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Cited By

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Mago NMittal MHemanth DSharma R(2024)Deep learning and saliency-based parking IoT classification under different weather conditionsIntelligent Decision Technologies10.3233/IDT-23057318:2(1411-1424)Online publication date: 1-Jan-2024
https://dl.acm.org/doi/10.3233/IDT-230573
Zhao DJu CZhu GNing JLuo DZhang DMa H(2022)MePark: Using Meters as Sensors for Citywide On-Street Parking Availability PredictionIEEE Transactions on Intelligent Transportation Systems10.1109/TITS.2021.306767523:7(7244-7257)Online publication date: 1-Jul-2022
https://dl.acm.org/doi/10.1109/TITS.2021.3067675
De Luelmo SDel Viejo EMontemayor APantrigo J(2022)Visual Parking Space Estimation Using Detection Networks and Rule-Based SystemsBio-inspired Systems and Applications: from Robotics to Ambient Intelligence10.1007/978-3-031-06527-9_58(583-592)Online publication date: 31-May-2022
https://dl.acm.org/doi/10.1007/978-3-031-06527-9_58

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Published In

Vehicular Communications Volume 9, Issue C

July 2017

63 pages

ISSN:2214-2096

EISSN:2214-2096

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Elsevier Science Publishers B. V.

Netherlands

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Published: 01 July 2017

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Mago NMittal MHemanth DSharma R(2024)Deep learning and saliency-based parking IoT classification under different weather conditionsIntelligent Decision Technologies10.3233/IDT-23057318:2(1411-1424)Online publication date: 1-Jan-2024
https://dl.acm.org/doi/10.3233/IDT-230573
Zhao DJu CZhu GNing JLuo DZhang DMa H(2022)MePark: Using Meters as Sensors for Citywide On-Street Parking Availability PredictionIEEE Transactions on Intelligent Transportation Systems10.1109/TITS.2021.306767523:7(7244-7257)Online publication date: 1-Jul-2022
https://dl.acm.org/doi/10.1109/TITS.2021.3067675
De Luelmo SDel Viejo EMontemayor APantrigo J(2022)Visual Parking Space Estimation Using Detection Networks and Rule-Based SystemsBio-inspired Systems and Applications: from Robotics to Ambient Intelligence10.1007/978-3-031-06527-9_58(583-592)Online publication date: 31-May-2022
https://dl.acm.org/doi/10.1007/978-3-031-06527-9_58
Zhao ZKim JZhang L(2018)Parking Data Collection, Storage and Mining in Smart CityProceedings of the 2nd International Conference on Big Data Research10.1145/3291801.3291841(95-99)Online publication date: 27-Oct-2018
https://dl.acm.org/doi/10.1145/3291801.3291841

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Semantic segmentation-based parking space detection with standalone around view monitoring system

Intelligent Parking System for Car Parking Guidance and Damage Notification

Driving to safety: real-time danger spot and drowsiness monitoring system

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