Parking Management System Based on Key Points Detection

[1] L. BAO, Q. WANG, and Y. JIANG, “Review of Digital twin for intelligent transportation system,” in 2021 International Conference on Information Control, Electrical Engineering and Rail Transit (ICEERT), 2021, pp. 309–315.Search in Google Scholar

[2] S. M. A. SHEIK., N. JOSHI, B. GEORGE, and L. VANAJAKSHI, “Application of random forest algorithm to classify vehicles detected by a multiple inductive loop system,” in 2012 15th International IEEE Conference on Intelligent Transportation Systems, 2012, pp. 491–495.Search in Google Scholar

[3] L. MAINETTI, L. PALANO, L. PATRONO, M. L. STEFANIZZI, and R. VERGALLO, “Integration of RFID and WSN technologies in a Smart Parking System,” in 2014 22nd International Conference on Software, Telecommunications and Computer Networks (SoftCOM), 2014, pp. 104–110.Search in Google Scholar

[4] K. MICKO, P. PAPCUN, and I. ZOLOTOVA, “Review of IoT sensor systems used for monitoring the road infrastructure,” Sensors, vol. 23, no. 9, p. 4469, 2023.Search in Google Scholar

[5] S. JUNG, U. LEE, J. JUNG, and D. H. SHIM, “Real-time Traffic Sign Recognition system with deep convolutional neural network,” in 2016 13th International Conference on Ubiquitous Robots and Ambient Intelligence (URAI), 2016, pp. 31–34.Search in Google Scholar

[6] A. JAIN and K. SHAMBAVI, “Energy Efficient Smart Parking System Using Peizoelectric Material And Sensors.”Search in Google Scholar

[7] S. VITEK and P. MELNICUK, “A Distributed Wireless Camera System for the Management of Parking Spaces,” Sensors, vol. 18, no. 1, 2018. [Online]. Available: https://www.mdpi.com/1424-8220/18/1/69Search in Google Scholar

[8] W. A. JABBAR, C. W. WEI, N. A. A. M. AZMI, and N. A. HAIRONNAZLI, “An IoT Raspberry Pi-based parking management system for smart campus,” INTERNET OF THINGS, vol. 14, JUN 2021.Search in Google Scholar

[9] M. AWALUDIN and V. YASIN, “Application Of Oriented Fast And Rotated Brief (Orb) And Bruteforce Hamming In Library Opencv For Classification Of Plants,” JISAMAR (Journal of Information System, Applied, Management, Accounting and Research), vol. 4, no. 3, pp. 51–59, 2020.Search in Google Scholar

[10] K. MICKO, F. BABIC, P. PAPCUN, and I. ZOLOTOVA, “Temporary parking via computer vision and deep learning,” in 2022 IEEE 20th Jubilee World Symposium on Applied Machine Intelligence and Informatics (SAMI). IEEE, 2022, pp. 000 455–000 460.Search in Google Scholar

[11] Z. SHANGGUAN, L. WANG, J. ZHANG, and W. DONG, “Vision-Based Object Recognition and Precise Localization for Space Body Control,” International Journal of Aerospace Engineering, vol. 2019, p. 7050915, Mar 2019. [Online]. Available: https://doi.org/10.1155/2019/7050915Search in Google Scholar

[12] R. SZELISKI, Computer vision: algorithms and applications. Springer Nature, 2022.Search in Google Scholar

[13] K. MICKO and F. BABIC, “Evidencia dočasného parkovania pomocou metód počítačového videnia a umelej inteligencie,” Electrical Engineering and Informatics XII, pp. 61–64, 2021.Search in Google Scholar

[14] L. P. COELHO, “Mahotas: Open source software for scriptable computer vision,” arXiv preprint arXiv:1211.4907, 2012.Search in Google Scholar

[15] B. TUOMANEN, Hands-On GPU Programming with Python and CUDA: Explore high-performance parallel computing with CUDA. Packt Publishing Ltd, 2018.Search in Google Scholar

[16] N. IDRIS, C. F. M. FOOZY, and P. SHAMALA, “A generic review of web technology: Django and flask,” International Journal of Advanced Science Computing and Engineering, vol. 2, no. 1, pp. 34–40, 2020.Search in Google Scholar

[17] F. GESSERT, W. WINGERATH, S. FRIEDRICH, and N. RITTER, “NoSQL database systems: a survey and decision guidance,” Computer Science-Research and Development, vol. 32, pp. 353–365, 2017.Search in Google Scholar

[18] G. D. SAMARAWEERA and J. M. CHANG, “Security and Privacy Implications on Database Systems in Big Data Era: A Survey,” IEEE Transactions on Knowledge and Data Engineering, vol. 33, no. 1, pp. 239–258, 2021.Search in Google Scholar

[19] A. BOICEA, F. RADULESCU, and L. I. AGAPIN, “MongoDB vs Oracle – Database Comparison,” in 2012 Third International Conference on Emerging Intelligent Data and Web Technologies, 2012, pp. 330–335.Search in Google Scholar

[20] B. JOSHI and B. JOSHI, “Event Handling,” Beginning jQuery 2 for ASP. NET Developers: Using jQuery 2 with ASP. NET Web Forms and ASP. NET MVC, pp. 103–133, 2013.Search in Google Scholar

[21] B. TOM, “Busy Parking Lot - Aerial Time-Lapse,” accessed: 26/4/2017. [Online]. Available: https://www.youtube.com/watch?v=yojapmOkIfgSearch in Google Scholar

[22] K. NOOR, “how to yolov5 counting vehicles in parking area yolov5 vehicles detection computer vision,” accessed: 11/2/2023. [Online]. Available: https://www.youtube.com/watch?v=9Wf7_2Bv5NoSearch in Google Scholar

[23] M. GREGOR, R. PIRNIK, and D. NEMEC, “Transfer Learning for Classification of Parking Spots using Residual Networks,” Transportation Research Procedia, vol. 40, pp. 1327–1334, 2019, tRANSCOM 2019 13th International Scientific Conference on Sustainable, Modern and Safe Transport. [Online]. Available: https://www.sciencedirect.com/science/article/pii/S2352146519303527Search in Google Scholar

[24] A. IGNATOV, R. TIMOFTE, and et al., “PIRM Challenge on Perceptual Image Enhancement on Smart-phones: Report,” in Computer Vision – ECCV 2018 Workshops, vol. 5, no. 15, Munich, Germany, September 2018, pp. 315–333.Search in Google Scholar

[25] B. DAS, J. P. EBENEZER, and S. MUKHOPADHYAY, “A comparative study of single image fog removal methods,” The Visual Computer, vol. 38, no. 1, pp. 179–195, Jan 2022.Search in Google Scholar

[26] B. CHENG, J. LI, Y. CHEN, and T. ZENG, “Snow Mask Guided Adaptive Residual Network for Image Snow Removal,” Computer Vision and Image Understanding, vol. 236, p. 103819, 2023. [Online]. Available: https://www.sciencedirect.com/science/article/pii/S1077314223001996Search in Google Scholar

[27] X. FU, J. HUANG, X. DING, Y. LIAO, and J. PAISLEY, “Clearing the Skies: A Deep Network Architecture for Single-Image Rain Removal,” IEEE Transactions on Image Processing, vol. 26, no. 6, pp. 2944–2956, 2017.Search in Google Scholar

[28] M.-C. LU, “Advancement of Chip Stacking Architectures and Interconnect Technologies for Image Sensors,” Journal of Electronic Packaging, vol. 144, no. 2, p. 020801, 09 2021.Search in Google Scholar

[29] A. S. PARIHAR and A. JAVA, “Densely connected convolutional transformer for single image dehazing,” Journal of Visual Communication and Image Representation, vol. 90, p. 103722, 2023. [Online]. Available: https://www.sciencedirect.com/science/article/pii/S1047320322002425Search in Google Scholar

[30] G. SAHU, A. SEAL, D. BHATTACHARJEE, M. NASIPURI, P. BRIDA, and O. KREJCAR, “Trends and Prospects of Techniques for Haze Removal From Degraded Images: A Survey,” IEEE Transactions on Emerging Topics in Computational Intelligence, vol. 6, no. 4, pp. 762–782, 2022.Search in Google Scholar