{"id":3328,"date":"2025-01-10T11:49:38","date_gmt":"2025-01-10T11:49:38","guid":{"rendered":"https:\/\/jita-au.com\/?p=3328"},"modified":"2025-07-14T13:24:23","modified_gmt":"2025-07-14T13:24:23","slug":"pattern-proposal-for-detecting-object-occupancy-in-avs-utilizing-ml-edge-cloud-ai-and-cv-for-parking-lots","status":"publish","type":"post","link":"https:\/\/jita-au.com\/index.php\/2025\/01\/10\/pattern-proposal-for-detecting-object-occupancy-in-avs-utilizing-ml-edge-cloud-ai-and-cv-for-parking-lots\/","title":{"rendered":"Pattern Proposal for detecting object occupancy in AVs utilizing ML, Edge Cloud, AI, and CV for parking LoTs"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"3328\" class=\"elementor elementor-3328\" data-elementor-settings=\"{&quot;ha_cmc_init_switcher&quot;:&quot;no&quot;}\">\n\t\t\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-e232701 elementor-section-height-min-height elementor-section-full_width elementor-hidden-tablet elementor-hidden-mobile elementor-section-height-default elementor-section-items-middle wpr-particle-no wpr-jarallax-no wpr-parallax-no wpr-sticky-section-no\" data-id=\"e232701\" data-element_type=\"section\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;,&quot;_ha_eqh_enable&quot;:false}\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-cb97594\" data-id=\"cb97594\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-a18c791 elementor-widget__width-inherit ha-has-bg-overlay elementor-widget elementor-widget-heading\" data-id=\"a18c791\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Vol. 14 No. 2 (2024): JITA - APEIRON<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-b2fff26 elementor-widget elementor-widget-heading\" data-id=\"b2fff26\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\"><b>Pavle Daki\u0107, Mohammad Daud Haiderzai, Anja Dragojevi\u0107, Anastasija Dragoni\u0107-Uremovi\u0107<b><\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-52044bb elementor-widget-divider--view-line elementor-widget elementor-widget-divider\" data-id=\"52044bb\" data-element_type=\"widget\" data-widget_type=\"divider.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-divider\">\n\t\t\t<span class=\"elementor-divider-separator\">\n\t\t\t\t\t\t<\/span>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-1c82606 elementor-widget elementor-widget-heading\" data-id=\"1c82606\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Pattern Proposal for detecting object occupancy in AVs utilizing ML, Edge Cloud, AI, and CV for parking LoTs<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-c297c9e elementor-widget-divider--view-line elementor-widget elementor-widget-divider\" data-id=\"c297c9e\" data-element_type=\"widget\" data-widget_type=\"divider.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-divider\">\n\t\t\t<span class=\"elementor-divider-separator\">\n\t\t\t\t\t\t<\/span>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-455c8d6 e-grid e-con-full wpr-particle-no wpr-jarallax-no wpr-parallax-no wpr-sticky-section-no e-con e-parent\" data-id=\"455c8d6\" data-element_type=\"container\" data-settings=\"{&quot;_ha_eqh_enable&quot;:false}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-dcea8af elementor-widget__width-initial elementor-widget elementor-widget-heading\" data-id=\"dcea8af\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Review paper<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-0579899 elementor-widget__width-initial elementor-widget elementor-widget-heading\" data-id=\"0579899\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">DOI: https:\/\/doi.org\/10.7251\/JIT2402093D<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-2f3b63f elementor-align-center elementor-widget elementor-widget-button\" data-id=\"2f3b63f\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm\" href=\"https:\/\/jita-au.com\/wp-content\/uploads\/2025\/01\/Pages-from-JITA_Vol-14_Issue-2-WEB.pdf\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t\t\t\t<span class=\"elementor-button-text\">Download Article PDF<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-cb7c4cb elementor-widget__width-inherit elementor-widget elementor-widget-heading\" data-id=\"cb7c4cb\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Abstract<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-61aebe3 elementor-widget__width-inherit elementor-widget elementor-widget-text-editor\" data-id=\"61aebe3\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>The purpose of this article is to provide an overview of current parking system management issues as well as support for effective object identification in circumstances of autonomous parking. In particular, we will look at existing solutions and patterns that have the most immediate use in automobiles and other businesses that rely on these technical approaches. The question arises as to the effectiveness and expense of existing solutions during various times of day (rain, fog, snow) and weather conditions, which can significantly alter the visibility of any systems that use cameras for object detection. This is applicable to parking lots that use cameras and a computer system\u2019s integrated capabilities to detect and classify items using a machine model that makes certain decisions or suggests certain objects for object occupancy tracking. Our parking system concept proposal can be summed up in a dozen successful implementations for autonomous vehicle (AV) control and other Internet of things (IoT) systems. Image processing could be carried out using a mix of one or more algorithms and patterns that require specific hardware and software in the background, such as CI\/CD, HPC, edge, cloud computing, and cluster microservices. Key contributions and findings can be given in the form of a novel pattern method known as combined detection of parking occupancy on chip (ComDPOCh), which can be applied in a real-world setting using appropriate hardware and software.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-5c5f19e elementor-widget elementor-widget-heading\" data-id=\"5c5f19e\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Keywords: Machine learning and computer vision, parking lot occupancy, watershed segmentation algorithm, object detection in autonomous vehicles, image processing, autonomous vehicles, artificial intelligence, Internet of things (IoT)<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-419d45f elementor-widget elementor-widget-heading\" data-id=\"419d45f\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\"><b>Paper received:<\/b> 26.10.2024.<br><b>Paper accepted:<\/b> 19.11.2024.<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-6dd494a wpr-logo-position-center elementor-widget elementor-widget-wpr-logo\" data-id=\"6dd494a\" data-element_type=\"widget\" data-widget_type=\"wpr-logo.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\n\t\t\t<div class=\"wpr-logo elementor-clearfix\">\n\n\t\t\t\t\t\t\t\t<picture class=\"wpr-logo-image\">\n\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t<img decoding=\"async\" src=\"https:\/\/jita-au.com\/wp-content\/uploads\/2024\/03\/cc-by-1.png\" alt=\"\">\n\n\t\t\t\t\t\t\t\t\t\t\t<a class=\"wpr-logo-url\" rel=\"home\" aria-label=\"\" href=\"https:\/\/jita-au.com\/\"><\/a>\n\t\t\t\t\t\t\t\t\t<\/picture>\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\t\t\t\t<a class=\"wpr-logo-url\" rel=\"home\" aria-label=\"\" href=\"https:\/\/jita-au.com\/\"><\/a>\n\t\t\t\t\n\t\t\t<\/div>\n\t\t\t\t\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-cb049d1 elementor-widget elementor-widget-shortcode\" data-id=\"cb049d1\" data-element_type=\"widget\" data-widget_type=\"shortcode.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-shortcode\"><div class=\"post-views content-post post-3328 entry-meta load-static\">\r\n\t\t\t\t<span class=\"post-views-icon dashicons dashicons-chart-bar\"><\/span> <span class=\"post-views-label\">Post Views:<\/span> <span class=\"post-views-count\">937<\/span>\r\n\t\t\t<\/div><\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-511d0df elementor-section-height-min-height elementor-section-full_width elementor-hidden-mobile elementor-hidden-desktop elementor-hidden-laptop elementor-section-height-default elementor-section-items-middle wpr-particle-no wpr-jarallax-no wpr-parallax-no wpr-sticky-section-no\" data-id=\"511d0df\" data-element_type=\"section\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;,&quot;_ha_eqh_enable&quot;:false}\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-0acee9c\" data-id=\"0acee9c\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-c0e98b3 elementor-widget__width-inherit ha-has-bg-overlay elementor-widget elementor-widget-heading\" data-id=\"c0e98b3\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Vol. 14 No. 1 (2024): JITA - APEIRON<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-e6b43c5 elementor-widget elementor-widget-heading\" data-id=\"e6b43c5\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\"><strong>Vladimir Radovanovi\u0107, Olja Kr\u010dadinac, Jasmina Peri\u0161i\u0107, Marina Milovanovi\u0107, \u017deljko Stankovi\u0107 <\/strong>\n <\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-68f1849 elementor-widget-divider--view-line elementor-widget elementor-widget-divider\" data-id=\"68f1849\" data-element_type=\"widget\" data-widget_type=\"divider.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-divider\">\n\t\t\t<span class=\"elementor-divider-separator\">\n\t\t\t\t\t\t<\/span>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-186a6b2 elementor-widget elementor-widget-heading\" data-id=\"186a6b2\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Comparison Of Agile And Devops Methodologies: Analysis Of Efficiency, Flexibility, And Application In Software Development<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-7b2f501 elementor-widget-divider--view-line elementor-widget elementor-widget-divider\" data-id=\"7b2f501\" data-element_type=\"widget\" data-widget_type=\"divider.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-divider\">\n\t\t\t<span class=\"elementor-divider-separator\">\n\t\t\t\t\t\t<\/span>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-5027126 elementor-widget__width-initial elementor-widget elementor-widget-heading\" data-id=\"5027126\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Review paper<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-4a5312c elementor-widget__width-initial elementor-widget elementor-widget-heading\" data-id=\"4a5312c\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">DOI: Https:\/\/Doi.Org\/10.7251\/JIT2401078R<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-8d7a912 elementor-align-center elementor-widget elementor-widget-button\" data-id=\"8d7a912\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm\" href=\"https:\/\/jita-au.com\/wp-content\/uploads\/2024\/06\/Pages-from-JITA_Vol-14_Issue-1-WEB.pdf\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t\t\t\t<span class=\"elementor-button-text\">Download Article PDF<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-580ffd3 elementor-widget__width-inherit elementor-widget elementor-widget-heading\" data-id=\"580ffd3\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Abstract<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-211717e elementor-widget__width-inherit elementor-widget elementor-widget-text-editor\" data-id=\"211717e\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>This paper provides a concise overview of Agile and DevOps methodologies in software engineering. It aims to introduce readers to the fundamental principles of Agile and DevOps, accompanied by brief descriptions and practical examples. The advantages and disadvantages of each methodology are discussed, followed by a comparative analysis highlighting key differences. Understanding these methodologies is crucial in today\u2019s IT landscape, as they are commonly employed in various organizations, impacting project management, team collaboration, and product delivery. This paper serves as a valuable resource for individuals seeking a basic understanding of Agile and DevOps methodologies in software engineering.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-62b72c3 elementor-widget elementor-widget-heading\" data-id=\"62b72c3\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Keywords: Agile Methodology, DevOps Methodology, Software Engineering, Comparative Analysis, Software Development<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-b028c5f elementor-widget elementor-widget-heading\" data-id=\"b028c5f\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\"><b>Paper received:<\/b> 26.10.2024.<br><b>Paper accepted:<\/b> 19.11.2024.<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-f4dcd16 wpr-logo-position-center elementor-widget elementor-widget-wpr-logo\" data-id=\"f4dcd16\" data-element_type=\"widget\" data-widget_type=\"wpr-logo.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\n\t\t\t<div class=\"wpr-logo elementor-clearfix\">\n\n\t\t\t\t\t\t\t\t<picture class=\"wpr-logo-image\">\n\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t<img decoding=\"async\" src=\"https:\/\/jita-au.com\/wp-content\/uploads\/2024\/03\/cc-by-1.png\" alt=\"\">\n\n\t\t\t\t\t\t\t\t\t\t\t<a class=\"wpr-logo-url\" rel=\"home\" aria-label=\"\" href=\"https:\/\/jita-au.com\/\"><\/a>\n\t\t\t\t\t\t\t\t\t<\/picture>\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\t\t\t\t<a class=\"wpr-logo-url\" rel=\"home\" aria-label=\"\" href=\"https:\/\/jita-au.com\/\"><\/a>\n\t\t\t\t\n\t\t\t<\/div>\n\t\t\t\t\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-0f73093 elementor-widget elementor-widget-shortcode\" data-id=\"0f73093\" data-element_type=\"widget\" data-widget_type=\"shortcode.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-shortcode\"><div class=\"post-views content-post post-3328 entry-meta load-static\">\r\n\t\t\t\t<span class=\"post-views-icon dashicons dashicons-chart-bar\"><\/span> <span class=\"post-views-label\">Post Views:<\/span> <span class=\"post-views-count\">937<\/span>\r\n\t\t\t<\/div><\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-2d980b8 elementor-section-height-min-height elementor-section-full_width elementor-hidden-tablet elementor-hidden-desktop elementor-hidden-laptop elementor-section-height-default elementor-section-items-middle wpr-particle-no wpr-jarallax-no wpr-parallax-no wpr-sticky-section-no\" data-id=\"2d980b8\" data-element_type=\"section\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;,&quot;_ha_eqh_enable&quot;:false}\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-d772afa\" data-id=\"d772afa\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-5597455 elementor-widget__width-inherit elementor-widget-mobile__width-inherit ha-has-bg-overlay elementor-widget elementor-widget-heading\" data-id=\"5597455\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Vol. 14 No. 2 (2024): JITA - APEIRON<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-f3e70ee elementor-widget elementor-widget-heading\" data-id=\"f3e70ee\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\"><strong>Pavle Daki\u0107, Mohammad Daud Haiderzai, Anja Dragojevi\u0107, Anastasija Dragoni\u0107-Uremovi\u0107 <\/strong>\n <\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-b0a72e2 elementor-widget-divider--view-line elementor-widget elementor-widget-divider\" data-id=\"b0a72e2\" data-element_type=\"widget\" data-widget_type=\"divider.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-divider\">\n\t\t\t<span class=\"elementor-divider-separator\">\n\t\t\t\t\t\t<\/span>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-87a3678 elementor-widget elementor-widget-heading\" data-id=\"87a3678\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Pattern Proposal for detecting object occupancy in AVs utilizing ML, Edge Cloud, AI, and CV for parking LoTs<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-96936f4 elementor-widget-divider--view-line elementor-widget elementor-widget-divider\" data-id=\"96936f4\" data-element_type=\"widget\" data-widget_type=\"divider.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-divider\">\n\t\t\t<span class=\"elementor-divider-separator\">\n\t\t\t\t\t\t<\/span>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-f04febc elementor-widget__width-initial elementor-widget-mobile__width-inherit elementor-widget elementor-widget-heading\" data-id=\"f04febc\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Review paper<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-389228b elementor-widget__width-initial elementor-widget-mobile__width-inherit elementor-widget elementor-widget-heading\" data-id=\"389228b\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">DOI: Https:\/\/Doi.Org\/10.7251\/JIT2402093D<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-73b8917 elementor-align-center elementor-widget elementor-widget-button\" data-id=\"73b8917\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm\" href=\"https:\/\/jita-au.com\/wp-content\/uploads\/2025\/01\/Pages-from-JITA_Vol-14_Issue-2-WEB.pdf\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t\t\t\t<span class=\"elementor-button-text\">Download Article PDF<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-80faf79 elementor-widget__width-inherit elementor-widget elementor-widget-heading\" data-id=\"80faf79\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Abstract<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-8cefffd elementor-widget__width-inherit elementor-widget elementor-widget-text-editor\" data-id=\"8cefffd\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>The purpose of this article is to provide an overview of current parking system management issues as well as support for effective object identification in circumstances of autonomous parking. In particular, we will look at existing solutions and patterns that have the most immediate use in automobiles and other businesses that rely on these technical approaches. The question arises as to the effectiveness and expense of existing solutions during various times of day (rain, fog, snow) and weather conditions, which can significantly alter the visibility of any systems that use cameras for object detection. This is applicable to parking lots that use cameras and a computer system\u2019s integrated capabilities to detect and classify items using a machine model that makes certain decisions or suggests certain objects for object occupancy tracking. Our parking system concept proposal can be summed up in a dozen successful implementations for autonomous vehicle (AV) control and other Internet of things (IoT) systems. Image processing could be carried out using a mix of one or more algorithms and patterns that require specific hardware and software in the background, such as CI\/CD, HPC, edge, cloud computing, and cluster microservices. Key contributions and findings can be given in the form of a novel pattern method known as combined detection of parking occupancy on chip (ComDPOCh), which can be applied in a real-world setting using appropriate hardware and software.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-0c5e44b elementor-widget elementor-widget-heading\" data-id=\"0c5e44b\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Keywords: Machine learning and computer vision, parking lot occupancy, watershed segmentation algorithm, object detection in autonomous vehicles, image processing, autonomous vehicles, artificial intelligence, Internet of things (IoT)<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-a161807 elementor-widget elementor-widget-heading\" data-id=\"a161807\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\"><b>Paper received:<\/b> 26.10.2024.<br><b>Paper accepted:<\/b> 19.11.2024.<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-dee52ab wpr-logo-position-center elementor-widget elementor-widget-wpr-logo\" data-id=\"dee52ab\" data-element_type=\"widget\" data-widget_type=\"wpr-logo.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\n\t\t\t<div class=\"wpr-logo elementor-clearfix\">\n\n\t\t\t\t\t\t\t\t<picture class=\"wpr-logo-image\">\n\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t<img decoding=\"async\" src=\"https:\/\/jita-au.com\/wp-content\/uploads\/2024\/03\/cc-by-1.png\" alt=\"\">\n\n\t\t\t\t\t\t\t\t\t\t\t<a class=\"wpr-logo-url\" rel=\"home\" aria-label=\"\" href=\"https:\/\/jita-au.com\/\"><\/a>\n\t\t\t\t\t\t\t\t\t<\/picture>\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\t\t\t\t<a class=\"wpr-logo-url\" rel=\"home\" aria-label=\"\" href=\"https:\/\/jita-au.com\/\"><\/a>\n\t\t\t\t\n\t\t\t<\/div>\n\t\t\t\t\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-5cb9871 elementor-widget elementor-widget-shortcode\" data-id=\"5cb9871\" data-element_type=\"widget\" data-widget_type=\"shortcode.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-shortcode\"><div class=\"post-views content-post post-3328 entry-meta load-static\">\r\n\t\t\t\t<span class=\"post-views-icon dashicons dashicons-chart-bar\"><\/span> <span class=\"post-views-label\">Post Views:<\/span> <span class=\"post-views-count\">937<\/span>\r\n\t\t\t<\/div><\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>Vol. 14 No. 2 (2024): JITA &#8211; APEIRON Pavle Daki\u0107, Mohammad Daud Haiderzai, Anja Dragojevi\u0107, Anastasija Dragoni\u0107-Uremovi\u0107 Pattern Proposal for detecting object occupancy in AVs utilizing ML, Edge Cloud, AI, and CV for parking LoTs Review paper DOI: https:\/\/doi.org\/10.7251\/JIT2402093D Download Article PDF Abstract The purpose of this article is to provide an overview of current parking system management issues as well as support for effective object identification in circumstances of autonomous parking. In particular, we will look at existing solutions and patterns that have the most immediate use in automobiles and other businesses that rely on these technical approaches. The question arises as to the effectiveness and expense of existing solutions during various times of day (rain, fog, snow) and weather conditions, which can significantly alter the visibility of any systems that use cameras for object detection. This is applicable to parking lots that use cameras and a computer system\u2019s integrated capabilities to detect and classify items using a machine model that makes certain decisions or suggests certain objects for object occupancy tracking. Our parking system concept proposal can be summed up in a dozen successful implementations for autonomous vehicle (AV) control and other Internet of things (IoT) systems. Image processing could be carried out using a mix of one or more algorithms and patterns that require specific hardware and software in the background, such as CI\/CD, HPC, edge, cloud computing, and cluster microservices. Key contributions and findings can be given in the form of a novel pattern method known as combined detection of parking occupancy on chip (ComDPOCh), which can be applied in a real-world setting using appropriate hardware and software. Keywords: Machine learning and computer vision, parking lot occupancy, watershed segmentation algorithm, object detection in autonomous vehicles, image processing, autonomous vehicles, artificial intelligence, Internet of things (IoT) Paper received: 26.10.2024.Paper accepted: 19.11.2024. Vol. 14 No. 1 (2024): JITA &#8211; APEIRON Vladimir Radovanovi\u0107, Olja Kr\u010dadinac, Jasmina Peri\u0161i\u0107, Marina Milovanovi\u0107, \u017deljko Stankovi\u0107 Comparison Of Agile And Devops Methodologies: Analysis Of Efficiency, Flexibility, And Application In Software Development Review paper DOI: Https:\/\/Doi.Org\/10.7251\/JIT2401078R Download Article PDF Abstract This paper provides a concise overview of Agile and DevOps methodologies in software engineering. It aims to introduce readers to the fundamental principles of Agile and DevOps, accompanied by brief descriptions and practical examples. The advantages and disadvantages of each methodology are discussed, followed by a comparative analysis highlighting key differences. Understanding these methodologies is crucial in today\u2019s IT landscape, as they are commonly employed in various organizations, impacting project management, team collaboration, and product delivery. This paper serves as a valuable resource for individuals seeking a basic understanding of Agile and DevOps methodologies in software engineering. Keywords: Agile Methodology, DevOps Methodology, Software Engineering, Comparative Analysis, Software Development Paper received: 26.10.2024.Paper accepted: 19.11.2024. Vol. 14 No. 2 (2024): JITA &#8211; APEIRON Pavle Daki\u0107, Mohammad Daud Haiderzai, Anja Dragojevi\u0107, Anastasija Dragoni\u0107-Uremovi\u0107 Pattern Proposal for detecting object occupancy in AVs utilizing ML, Edge Cloud, AI, and CV for parking LoTs Review paper DOI: Https:\/\/Doi.Org\/10.7251\/JIT2402093D Download Article PDF Abstract The purpose of this article is to provide an overview of current parking system management issues as well as support for effective object identification in circumstances of autonomous parking. In particular, we will look at existing solutions and patterns that have the most immediate use in automobiles and other businesses that rely on these technical approaches. The question arises as to the effectiveness and expense of existing solutions during various times of day (rain, fog, snow) and weather conditions, which can significantly alter the visibility of any systems that use cameras for object detection. This is applicable to parking lots that use cameras and a computer system\u2019s integrated capabilities to detect and classify items using a machine model that makes certain decisions or suggests certain objects for object occupancy tracking. Our parking system concept proposal can be summed up in a dozen successful implementations for autonomous vehicle (AV) control and other Internet of things (IoT) systems. Image processing could be carried out using a mix of one or more algorithms and patterns that require specific hardware and software in the background, such as CI\/CD, HPC, edge, cloud computing, and cluster microservices. Key contributions and findings can be given in the form of a novel pattern method known as combined detection of parking occupancy on chip (ComDPOCh), which can be applied in a real-world setting using appropriate hardware and software. Keywords: Machine learning and computer vision, parking lot occupancy, watershed segmentation algorithm, object detection in autonomous vehicles, image processing, autonomous vehicles, artificial intelligence, Internet of things (IoT) Paper received: 26.10.2024.Paper accepted: 19.11.2024.<\/p>\n","protected":false},"author":1,"featured_media":534,"comment_status":"open","ping_status":"open","sticky":false,"template":"elementor_header_footer","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-3328","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-uncategorized"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v26.8 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Pattern Proposal for detecting object occupancy in AVs utilizing ML, Edge Cloud, AI, and CV for parking LoTs - JITA -Journal of Information Technology and Application<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/jita-au.com\/index.php\/2025\/01\/10\/pattern-proposal-for-detecting-object-occupancy-in-avs-utilizing-ml-edge-cloud-ai-and-cv-for-parking-lots\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Pattern Proposal for detecting object occupancy in AVs utilizing ML, Edge Cloud, AI, and CV for parking LoTs - JITA -Journal of Information Technology and Application\" \/>\n<meta property=\"og:description\" content=\"Vol. 14 No. 2 (2024): JITA &#8211; APEIRON Pavle Daki\u0107, Mohammad Daud Haiderzai, Anja Dragojevi\u0107, Anastasija Dragoni\u0107-Uremovi\u0107 Pattern Proposal for detecting object occupancy in AVs utilizing ML, Edge Cloud, AI, and CV for parking LoTs Review paper DOI: https:\/\/doi.org\/10.7251\/JIT2402093D Download Article PDF Abstract The purpose of this article is to provide an overview of current parking system management issues as well as support for effective object identification in circumstances of autonomous parking. In particular, we will look at existing solutions and patterns that have the most immediate use in automobiles and other businesses that rely on these technical approaches. The question arises as to the effectiveness and expense of existing solutions during various times of day (rain, fog, snow) and weather conditions, which can significantly alter the visibility of any systems that use cameras for object detection. This is applicable to parking lots that use cameras and a computer system\u2019s integrated capabilities to detect and classify items using a machine model that makes certain decisions or suggests certain objects for object occupancy tracking. Our parking system concept proposal can be summed up in a dozen successful implementations for autonomous vehicle (AV) control and other Internet of things (IoT) systems. Image processing could be carried out using a mix of one or more algorithms and patterns that require specific hardware and software in the background, such as CI\/CD, HPC, edge, cloud computing, and cluster microservices. Key contributions and findings can be given in the form of a novel pattern method known as combined detection of parking occupancy on chip (ComDPOCh), which can be applied in a real-world setting using appropriate hardware and software. Keywords: Machine learning and computer vision, parking lot occupancy, watershed segmentation algorithm, object detection in autonomous vehicles, image processing, autonomous vehicles, artificial intelligence, Internet of things (IoT) Paper received: 26.10.2024.Paper accepted: 19.11.2024. Vol. 14 No. 1 (2024): JITA &#8211; APEIRON Vladimir Radovanovi\u0107, Olja Kr\u010dadinac, Jasmina Peri\u0161i\u0107, Marina Milovanovi\u0107, \u017deljko Stankovi\u0107 Comparison Of Agile And Devops Methodologies: Analysis Of Efficiency, Flexibility, And Application In Software Development Review paper DOI: Https:\/\/Doi.Org\/10.7251\/JIT2401078R Download Article PDF Abstract This paper provides a concise overview of Agile and DevOps methodologies in software engineering. It aims to introduce readers to the fundamental principles of Agile and DevOps, accompanied by brief descriptions and practical examples. The advantages and disadvantages of each methodology are discussed, followed by a comparative analysis highlighting key differences. Understanding these methodologies is crucial in today\u2019s IT landscape, as they are commonly employed in various organizations, impacting project management, team collaboration, and product delivery. This paper serves as a valuable resource for individuals seeking a basic understanding of Agile and DevOps methodologies in software engineering. Keywords: Agile Methodology, DevOps Methodology, Software Engineering, Comparative Analysis, Software Development Paper received: 26.10.2024.Paper accepted: 19.11.2024. Vol. 14 No. 2 (2024): JITA &#8211; APEIRON Pavle Daki\u0107, Mohammad Daud Haiderzai, Anja Dragojevi\u0107, Anastasija Dragoni\u0107-Uremovi\u0107 Pattern Proposal for detecting object occupancy in AVs utilizing ML, Edge Cloud, AI, and CV for parking LoTs Review paper DOI: Https:\/\/Doi.Org\/10.7251\/JIT2402093D Download Article PDF Abstract The purpose of this article is to provide an overview of current parking system management issues as well as support for effective object identification in circumstances of autonomous parking. In particular, we will look at existing solutions and patterns that have the most immediate use in automobiles and other businesses that rely on these technical approaches. The question arises as to the effectiveness and expense of existing solutions during various times of day (rain, fog, snow) and weather conditions, which can significantly alter the visibility of any systems that use cameras for object detection. This is applicable to parking lots that use cameras and a computer system\u2019s integrated capabilities to detect and classify items using a machine model that makes certain decisions or suggests certain objects for object occupancy tracking. Our parking system concept proposal can be summed up in a dozen successful implementations for autonomous vehicle (AV) control and other Internet of things (IoT) systems. Image processing could be carried out using a mix of one or more algorithms and patterns that require specific hardware and software in the background, such as CI\/CD, HPC, edge, cloud computing, and cluster microservices. Key contributions and findings can be given in the form of a novel pattern method known as combined detection of parking occupancy on chip (ComDPOCh), which can be applied in a real-world setting using appropriate hardware and software. Keywords: Machine learning and computer vision, parking lot occupancy, watershed segmentation algorithm, object detection in autonomous vehicles, image processing, autonomous vehicles, artificial intelligence, Internet of things (IoT) Paper received: 26.10.2024.Paper accepted: 19.11.2024.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/jita-au.com\/index.php\/2025\/01\/10\/pattern-proposal-for-detecting-object-occupancy-in-avs-utilizing-ml-edge-cloud-ai-and-cv-for-parking-lots\/\" \/>\n<meta property=\"og:site_name\" content=\"JITA -Journal of Information Technology and Application\" \/>\n<meta property=\"article:published_time\" content=\"2025-01-10T11:49:38+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2025-07-14T13:24:23+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/jita-au.com\/wp-content\/uploads\/2024\/03\/cover_issue_949_en_US.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"595\" \/>\n\t<meta property=\"og:image:height\" content=\"793\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"author\" content=\"admin\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"admin\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"4 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\/\/jita-au.com\/index.php\/2025\/01\/10\/pattern-proposal-for-detecting-object-occupancy-in-avs-utilizing-ml-edge-cloud-ai-and-cv-for-parking-lots\/#article\",\"isPartOf\":{\"@id\":\"https:\/\/jita-au.com\/index.php\/2025\/01\/10\/pattern-proposal-for-detecting-object-occupancy-in-avs-utilizing-ml-edge-cloud-ai-and-cv-for-parking-lots\/\"},\"author\":{\"name\":\"admin\",\"@id\":\"https:\/\/jita-au.com\/#\/schema\/person\/d4becda53cfcbc99c449927eabf3877f\"},\"headline\":\"Pattern Proposal for detecting object occupancy in AVs utilizing ML, Edge Cloud, AI, and CV for parking LoTs\",\"datePublished\":\"2025-01-10T11:49:38+00:00\",\"dateModified\":\"2025-07-14T13:24:23+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\/\/jita-au.com\/index.php\/2025\/01\/10\/pattern-proposal-for-detecting-object-occupancy-in-avs-utilizing-ml-edge-cloud-ai-and-cv-for-parking-lots\/\"},\"wordCount\":792,\"commentCount\":0,\"publisher\":{\"@id\":\"https:\/\/jita-au.com\/#organization\"},\"image\":{\"@id\":\"https:\/\/jita-au.com\/index.php\/2025\/01\/10\/pattern-proposal-for-detecting-object-occupancy-in-avs-utilizing-ml-edge-cloud-ai-and-cv-for-parking-lots\/#primaryimage\"},\"thumbnailUrl\":\"https:\/\/jita-au.com\/wp-content\/uploads\/2024\/03\/cover_issue_949_en_US.jpg\",\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"CommentAction\",\"name\":\"Comment\",\"target\":[\"https:\/\/jita-au.com\/index.php\/2025\/01\/10\/pattern-proposal-for-detecting-object-occupancy-in-avs-utilizing-ml-edge-cloud-ai-and-cv-for-parking-lots\/#respond\"]}]},{\"@type\":\"WebPage\",\"@id\":\"https:\/\/jita-au.com\/index.php\/2025\/01\/10\/pattern-proposal-for-detecting-object-occupancy-in-avs-utilizing-ml-edge-cloud-ai-and-cv-for-parking-lots\/\",\"url\":\"https:\/\/jita-au.com\/index.php\/2025\/01\/10\/pattern-proposal-for-detecting-object-occupancy-in-avs-utilizing-ml-edge-cloud-ai-and-cv-for-parking-lots\/\",\"name\":\"Pattern Proposal for detecting object occupancy in AVs utilizing ML, Edge Cloud, AI, and CV for parking LoTs - 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JITA -Journal of Information Technology and Application","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/jita-au.com\/index.php\/2025\/01\/10\/pattern-proposal-for-detecting-object-occupancy-in-avs-utilizing-ml-edge-cloud-ai-and-cv-for-parking-lots\/","og_locale":"en_US","og_type":"article","og_title":"Pattern Proposal for detecting object occupancy in AVs utilizing ML, Edge Cloud, AI, and CV for parking LoTs - JITA -Journal of Information Technology and Application","og_description":"Vol. 14 No. 2 (2024): JITA &#8211; APEIRON Pavle Daki\u0107, Mohammad Daud Haiderzai, Anja Dragojevi\u0107, Anastasija Dragoni\u0107-Uremovi\u0107 Pattern Proposal for detecting object occupancy in AVs utilizing ML, Edge Cloud, AI, and CV for parking LoTs Review paper DOI: https:\/\/doi.org\/10.7251\/JIT2402093D Download Article PDF Abstract The purpose of this article is to provide an overview of current parking system management issues as well as support for effective object identification in circumstances of autonomous parking. In particular, we will look at existing solutions and patterns that have the most immediate use in automobiles and other businesses that rely on these technical approaches. The question arises as to the effectiveness and expense of existing solutions during various times of day (rain, fog, snow) and weather conditions, which can significantly alter the visibility of any systems that use cameras for object detection. This is applicable to parking lots that use cameras and a computer system\u2019s integrated capabilities to detect and classify items using a machine model that makes certain decisions or suggests certain objects for object occupancy tracking. Our parking system concept proposal can be summed up in a dozen successful implementations for autonomous vehicle (AV) control and other Internet of things (IoT) systems. Image processing could be carried out using a mix of one or more algorithms and patterns that require specific hardware and software in the background, such as CI\/CD, HPC, edge, cloud computing, and cluster microservices. Key contributions and findings can be given in the form of a novel pattern method known as combined detection of parking occupancy on chip (ComDPOCh), which can be applied in a real-world setting using appropriate hardware and software. Keywords: Machine learning and computer vision, parking lot occupancy, watershed segmentation algorithm, object detection in autonomous vehicles, image processing, autonomous vehicles, artificial intelligence, Internet of things (IoT) Paper received: 26.10.2024.Paper accepted: 19.11.2024. Vol. 14 No. 1 (2024): JITA &#8211; APEIRON Vladimir Radovanovi\u0107, Olja Kr\u010dadinac, Jasmina Peri\u0161i\u0107, Marina Milovanovi\u0107, \u017deljko Stankovi\u0107 Comparison Of Agile And Devops Methodologies: Analysis Of Efficiency, Flexibility, And Application In Software Development Review paper DOI: Https:\/\/Doi.Org\/10.7251\/JIT2401078R Download Article PDF Abstract This paper provides a concise overview of Agile and DevOps methodologies in software engineering. It aims to introduce readers to the fundamental principles of Agile and DevOps, accompanied by brief descriptions and practical examples. The advantages and disadvantages of each methodology are discussed, followed by a comparative analysis highlighting key differences. Understanding these methodologies is crucial in today\u2019s IT landscape, as they are commonly employed in various organizations, impacting project management, team collaboration, and product delivery. This paper serves as a valuable resource for individuals seeking a basic understanding of Agile and DevOps methodologies in software engineering. Keywords: Agile Methodology, DevOps Methodology, Software Engineering, Comparative Analysis, Software Development Paper received: 26.10.2024.Paper accepted: 19.11.2024. Vol. 14 No. 2 (2024): JITA &#8211; APEIRON Pavle Daki\u0107, Mohammad Daud Haiderzai, Anja Dragojevi\u0107, Anastasija Dragoni\u0107-Uremovi\u0107 Pattern Proposal for detecting object occupancy in AVs utilizing ML, Edge Cloud, AI, and CV for parking LoTs Review paper DOI: Https:\/\/Doi.Org\/10.7251\/JIT2402093D Download Article PDF Abstract The purpose of this article is to provide an overview of current parking system management issues as well as support for effective object identification in circumstances of autonomous parking. In particular, we will look at existing solutions and patterns that have the most immediate use in automobiles and other businesses that rely on these technical approaches. The question arises as to the effectiveness and expense of existing solutions during various times of day (rain, fog, snow) and weather conditions, which can significantly alter the visibility of any systems that use cameras for object detection. This is applicable to parking lots that use cameras and a computer system\u2019s integrated capabilities to detect and classify items using a machine model that makes certain decisions or suggests certain objects for object occupancy tracking. Our parking system concept proposal can be summed up in a dozen successful implementations for autonomous vehicle (AV) control and other Internet of things (IoT) systems. Image processing could be carried out using a mix of one or more algorithms and patterns that require specific hardware and software in the background, such as CI\/CD, HPC, edge, cloud computing, and cluster microservices. Key contributions and findings can be given in the form of a novel pattern method known as combined detection of parking occupancy on chip (ComDPOCh), which can be applied in a real-world setting using appropriate hardware and software. Keywords: Machine learning and computer vision, parking lot occupancy, watershed segmentation algorithm, object detection in autonomous vehicles, image processing, autonomous vehicles, artificial intelligence, Internet of things (IoT) Paper received: 26.10.2024.Paper accepted: 19.11.2024.","og_url":"https:\/\/jita-au.com\/index.php\/2025\/01\/10\/pattern-proposal-for-detecting-object-occupancy-in-avs-utilizing-ml-edge-cloud-ai-and-cv-for-parking-lots\/","og_site_name":"JITA -Journal of Information Technology and Application","article_published_time":"2025-01-10T11:49:38+00:00","article_modified_time":"2025-07-14T13:24:23+00:00","og_image":[{"width":595,"height":793,"url":"https:\/\/jita-au.com\/wp-content\/uploads\/2024\/03\/cover_issue_949_en_US.jpg","type":"image\/jpeg"}],"author":"admin","twitter_card":"summary_large_image","twitter_misc":{"Written by":"admin","Est. reading time":"4 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