Automatic Vacant Parking Places Management System Using Multicamera Vehicle Detection
A multicamera system for detecting cars and mapping them into parking spaces in a parking lot is described in this study. A limited number of sequences and without more difficult reality conditions (illumination changes and various weather conditions) were used to evaluate approaches from a cutting-...
Main Authors: | , , , , |
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Format: | Article |
Language: | English |
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EDP Sciences
2023-01-01
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Series: | E3S Web of Conferences |
Online Access: | https://www.e3s-conferences.org/articles/e3sconf/pdf/2023/28/e3sconf_icmed-icmpc2023_01045.pdf |
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author | Karanam Madhavi Reddy Akhil Kumar Mathyam Pranit Mohammed Azeemuddin Naik Sandeep |
author_facet | Karanam Madhavi Reddy Akhil Kumar Mathyam Pranit Mohammed Azeemuddin Naik Sandeep |
author_sort | Karanam Madhavi |
collection | DOAJ |
description | A multicamera system for detecting cars and mapping them into parking spaces in a parking lot is described in this study. A limited number of sequences and without more difficult reality conditions (illumination changes and various weather conditions) were used to evaluate approaches from a cutting-edge system that function correctly under controlled conditions. However, the majority of them only provide parts of systems, typically detectors, rather than the entire system. The proposed system was made to work in real-world situations that take into account a variety of occlusion scenarios, changes in lighting, and weather. For the purpose of design and validation, a brand-new multicamera data set was recorded. Two of the system’s object detector results are shown, and several provided postprocessing stages are used to build the system. The findings clearly indicate that the suggested method works appropriately in demanding settings such as near entire occlusions, lighting variations, and varying weather conditions. |
first_indexed | 2024-03-13T06:27:45Z |
format | Article |
id | doaj.art-46d919de63d048e39a64f8ac172a7cfc |
institution | Directory Open Access Journal |
issn | 2267-1242 |
language | English |
last_indexed | 2024-03-13T06:27:45Z |
publishDate | 2023-01-01 |
publisher | EDP Sciences |
record_format | Article |
series | E3S Web of Conferences |
spelling | doaj.art-46d919de63d048e39a64f8ac172a7cfc2023-06-09T09:12:17ZengEDP SciencesE3S Web of Conferences2267-12422023-01-013910104510.1051/e3sconf/202339101045e3sconf_icmed-icmpc2023_01045Automatic Vacant Parking Places Management System Using Multicamera Vehicle DetectionKaranam Madhavi0Reddy Akhil Kumar1Mathyam Pranit2Mohammed Azeemuddin3Naik Sandeep4Department of CSE, Gokaraju Rangaraju Institute of Engineering and TechnologyDepartment of CSE, Gokaraju Rangaraju Institute of Engineering and TechnologyDepartment of CSE, Gokaraju Rangaraju Institute of Engineering and TechnologyDepartment of CSE, Gokaraju Rangaraju Institute of Engineering and TechnologyDepartment of CSE, Gokaraju Rangaraju Institute of Engineering and TechnologyA multicamera system for detecting cars and mapping them into parking spaces in a parking lot is described in this study. A limited number of sequences and without more difficult reality conditions (illumination changes and various weather conditions) were used to evaluate approaches from a cutting-edge system that function correctly under controlled conditions. However, the majority of them only provide parts of systems, typically detectors, rather than the entire system. The proposed system was made to work in real-world situations that take into account a variety of occlusion scenarios, changes in lighting, and weather. For the purpose of design and validation, a brand-new multicamera data set was recorded. Two of the system’s object detector results are shown, and several provided postprocessing stages are used to build the system. The findings clearly indicate that the suggested method works appropriately in demanding settings such as near entire occlusions, lighting variations, and varying weather conditions.https://www.e3s-conferences.org/articles/e3sconf/pdf/2023/28/e3sconf_icmed-icmpc2023_01045.pdf |
spellingShingle | Karanam Madhavi Reddy Akhil Kumar Mathyam Pranit Mohammed Azeemuddin Naik Sandeep Automatic Vacant Parking Places Management System Using Multicamera Vehicle Detection E3S Web of Conferences |
title | Automatic Vacant Parking Places Management System Using Multicamera Vehicle Detection |
title_full | Automatic Vacant Parking Places Management System Using Multicamera Vehicle Detection |
title_fullStr | Automatic Vacant Parking Places Management System Using Multicamera Vehicle Detection |
title_full_unstemmed | Automatic Vacant Parking Places Management System Using Multicamera Vehicle Detection |
title_short | Automatic Vacant Parking Places Management System Using Multicamera Vehicle Detection |
title_sort | automatic vacant parking places management system using multicamera vehicle detection |
url | https://www.e3s-conferences.org/articles/e3sconf/pdf/2023/28/e3sconf_icmed-icmpc2023_01045.pdf |
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