Smart Detection of Parking Rates and Determining the Occupancy-Reference-Cited by-同舟云学术

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Smart Detection of Parking Rates and Determining the Occupancy

Published:2020 Issue: Volume: Page:381-390
ISSN:2524-7565
Container-title:Proceeding of International Conference on Computational Science and Applications
language:
Short-container-title:

Author:

Javale Deepali,Pahade Aatish,Singal Rushikesh,Potdar Akshay,Patil Mohit

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-15-0790-8_37

Reference9 articles.

1. Sadhukhan P (2017) An IoT-based e-parking system for smart cities

2. Dong S, Chen M, Li H (2018)Parking rank: a novel method of parking lots sorting and recommendation based, on public information

3. Grodi R, Ravat DB, Rios-Gutoerrez F (2016) Smart parking: parking occupancy monitoring and visualization system for smart cities

4. Ioannou TRPA (2015) On-street and off-street parking availability prediction using multivariate spatiotemporal models. IEEE Trans Intell Trans Syst 16(5):2913

5. Basavaraju (2015 Dec) Automatic smart parking system using Internet of Things (IOT). Int J Sci Res Publ 5(Issue 12). ISSN 2250-3153

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Parking Slot Estimation and Occupancy Prediction using LSTM and CNN;2023 6th International Conference on Contemporary Computing and Informatics (IC3I);2023-09-14

2. Smart Parking Fee Detection Using Contour Detection Algorithm;2021 5th International Conference on Electronics, Communication and Aerospace Technology (ICECA);2021-12-02

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