Detection of vacant slots in parking area through machine learning techniques using optimized ensemble classification model-Reference-Cited by-同舟云学术

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Detection of vacant slots in parking area through machine learning techniques using optimized ensemble classification model

Published:2022-04-03 Issue:3 Volume:25 Page:705-720
ISSN:0972-0529
Container-title:Journal of Discrete Mathematical Sciences and Cryptography
language:en
Short-container-title:Journal of Discrete Mathematical Sciences and Cryptography

Author:

Mago Neeru¹,Mago Jagmohan²,Garg Rachit³,Joshi Prabal Kumar⁴

Affiliation:

1. Department of Computer Science & Automation, Panjab University Swami Sarvanand Giri Regional Centre, Hoshiarpur 146021, Punjab, India

2. Department of Computer Science & Applications, Appejay College of Fine Arts, Jalandhar 144001, Punjab, India

3. School of Computer Science and Engineering, Lovely Professional University, Phagwara 144001, Punjab, India

4. Guru Nanak National College, Nakodar 144042, Distt Jalandhar, Punjab, India

Publisher

Taru Publications

Subject

Applied Mathematics,Algebra and Number Theory,Analysis

Link

https://www.tandfonline.com/doi/pdf/10.1080/09720529.2021.2016221

Reference29 articles.

1. P. Almeida, L.S. Oliveira, E. Silva, A.S. Britto and A.L. Koerich, “Parking space detection using textural descriptors”, In Systems, Man, and Cybernetics (SMC), IEEE International Conference, pp. 3603-3608, 2013.

2. PKLot – A robust dataset for parking lot classification

3. M. Ahrnbom, K. Astrom, and M. Nilsson, “Fast Classification of Empty and Occupied Parking Spaces Using Integral Channel Features”, in IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, pp. 1609–1615, 2016.

4. Y. W. Seo and C. Urmson, “Utilizing prior information to enhance self-supervised aerial image analysis for extracting parking lot structures”, in Proceedings of IEEE/RSJ International Conference on Intelligent Robots and Systems, pp. 339-344, 2009

5. Y. Geng and C.G. Cassandras, “A New ‘Smart Parking’ System Based on Optimal Resource Allocation and Reservations”, International IEEE Conference on Intelligent Transportation Systems Washington, DC, USA, Vol. 14, 2011.

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