Vehicle Occurrence-Based Parking Space Detection-Reference-Cited by-同舟云学术

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Vehicle Occurrence-Based Parking Space Detection

Published:2023-10-01 Issue: Volume: Page:1524-1529
ISSN:
Container-title:2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC)
language:
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Author:

de Almeida Paulo R. Lisboa¹,Alves Jeovane Honório¹,Oliveira Luiz S.¹,Hochuli Andre Gustavo²,Fröhlich João V.³,Krauel Rodrigo A.³

Affiliation:

1. Federal University of Paraná (UFPR),Department of Informatics,Curitiba,Brazil

2. Pontifical Catholic University of Paraná (PUCPR),Graduate Program in Informatics,Curitiba,Brazil

3. Santa Catarina State University (UDESC),Department of Computer Science,Joinville,Brazil

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10391856/10393862/10394316.pdf?arnumber=10394316

Reference27 articles.

1. PKLot – A robust dataset for parking lot classification

2. Car parking occupancy detection using smart camera networks and Deep Learning

3. Automatic Vacant Parking Places Management System Using Multicamera Vehicle Detection

4. Smart Parking Systems: Reviewing the Literature, Architecture and Ways Forward

5. A systematic review on computer vision-based parking lot management applied on public datasets

Cited by 1 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. Deep Single Models vs. Ensembles: Insights for a Fast Deployment of Parking Monitoring Systems;2023 International Conference on Machine Learning and Applications (ICMLA);2023-12-15

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