{"id":2577,"date":"2013-01-20T11:23:00","date_gmt":"2013-01-20T11:23:00","guid":{"rendered":"https:\/\/mapir.isa.uma.es\/mapirwebsite_wordpress\/?p=2577"},"modified":"2024-06-28T09:03:38","modified_gmt":"2024-06-28T09:03:38","slug":"gas-distribution-modeling","status":"publish","type":"post","link":"https:\/\/mapir.isa.uma.es\/mapirwebsite\/?p=2577","title":{"rendered":"Gas Distribution Mapping"},"content":{"rendered":"\n<div class=\"wp-block-columns\">\n<div class=\"wp-block-column\" style=\"flex-basis:100%\">\n<blockquote class=\"wp-block-quote\"><p>Gas distribution modeling (GDM), also referred to as gas distribution modeling, is the process of&nbsp;deriving a truthful representation of how gases are dispersed in an environment&nbsp;from a set of spatially and temporally distributed&nbsp;measurements of relevant variables, like the gas concentration or the wind vector.<\/p><\/blockquote>\n\n\n\n<p><\/p>\n<\/div>\n<\/div>\n\n\n\n<p>GDM constitutes an ideal application area for mobile robotics since they can provide an adaptive resolution of the distribution model while still offering the required accurate localization of each measurement. Installing sensors on mobile robots allows the creation of gas distribution models on the fly, thus the possibility of making decisions upon such a model, as for example, what locations to explore next.<\/p>\n\n\n\n<div class=\"wp-block-image\"><figure class=\"aligncenter size-full\"><img loading=\"lazy\" width=\"966\" height=\"216\" src=\"https:\/\/mapir.isa.uma.es\/mapirwebsite\/wp-content\/uploads\/2022\/01\/GDM_mobile_robot.png\" alt=\"\" class=\"wp-image-2580\" srcset=\"https:\/\/mapir.isa.uma.es\/mapirwebsite\/wp-content\/uploads\/2022\/01\/GDM_mobile_robot.png 966w, https:\/\/mapir.isa.uma.es\/mapirwebsite\/wp-content\/uploads\/2022\/01\/GDM_mobile_robot-300x67.png 300w, https:\/\/mapir.isa.uma.es\/mapirwebsite\/wp-content\/uploads\/2022\/01\/GDM_mobile_robot-768x172.png 768w\" sizes=\"(max-width: 966px) 100vw, 966px\" \/><figcaption>An example of a GDM generated by a mobile robot equipped with an electronic nose (e-nose).&nbsp;(left) Ground-truth gas concentration profile with details of the robot path and measurement locations as red points. (right) Estimated gas distribution from the sensor measurements.<\/figcaption><\/figure><\/div>\n\n\n\n<p>Building GDM with a mobile robot is a challenging task, mainly because in many realistic scenarios gas is dispersed by turbulent advection, which creates packets of gas that follow chaotic trajectories. This means that the gas distribution is, in general, not static but is continuously changing instead. Despite these problems, GDM has important applications in industry, science, and every-day life. Mobile robots equipped with gas sensors are deployed, for example, for pollution monitoring in public areas, surveillance of industrial facilities producing harmful gases, or for the inspection of contaminated areas within rescue missions.<\/p>\n\n\n\n<div id=\"toc_container\" class=\"no_bullets\"><p class=\"toc_title\">Contents<\/p><ul class=\"toc_list\"><li><a href=\"#Some_Results\">Some Results<\/a><\/li><li><a href=\"#Related_Publications\">Related Publications:<\/a><\/li><\/ul><\/div>\n<h2><span id=\"Some_Results\">Some Results<\/span><\/h2>\n\n\n\n<div class=\"wp-block-columns\">\n<div class=\"wp-block-column\">\n<figure class=\"wp-block-embed is-type-video is-provider-youtube wp-block-embed-youtube wp-embed-aspect-16-9 wp-has-aspect-ratio\"><div class=\"wp-block-embed__wrapper\">\n<iframe loading=\"lazy\" title=\"A Kalman Filter Based Approach to Probabilistic Gas Distribution Mapping\" width=\"720\" height=\"405\" src=\"https:\/\/www.youtube.com\/embed\/KQeuu1zEKiQ?feature=oembed\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen><\/iframe>\n<\/div><\/figure>\n<\/div>\n\n\n\n<div class=\"wp-block-column\">\n<figure class=\"wp-block-embed is-type-video is-provider-youtube wp-block-embed-youtube wp-embed-aspect-16-9 wp-has-aspect-ratio\"><div class=\"wp-block-embed__wrapper\">\n<iframe loading=\"lazy\" title=\"GADEN: A 3D Gas Dispersion Simulator for Complex and Realistic Environments\" width=\"720\" height=\"405\" src=\"https:\/\/www.youtube.com\/embed\/ZPGtk8KLtiE?feature=oembed\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen><\/iframe>\n<\/div><\/figure>\n<\/div>\n<\/div>\n\n\n\n<h2><span id=\"Related_Publications\">Related Publications:<\/span><\/h2>\n\n\n\n<!-- list of publications on GDM. Aigaion topic 60 -->\n<iframe loading=\"lazy\" style=\"line-height: 1.3em;\" src=\"https:\/\/mapir.isa.uma.es\/mapirpubsite\/index.php\/export\/bytopic\/60\/1\/aigaion_pubs_for_joomlawrapper_images.css\/none\/mapir_formatted_image_list\/type\/none\" width=\"100%\" height=\"1300\" frameborder=\"0\"><p>The list is loaded from another server. If you see this, there has been a problem.<\/p><\/iframe>\n","protected":false},"excerpt":{"rendered":"<p>Gas distribution modeling (GDM), also referred to as gas distribution modeling, is the process of&nbsp;deriving a truthful representation of how gases are dispersed in an environment&nbsp;from a set of spatially and temporally distributed&nbsp;measurements of relevant variables, like the gas concentration or the wind vector. GDM constitutes an ideal application area for mobile robotics since they&#8230;<\/p>\n","protected":false},"author":8,"featured_media":2578,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_kad_post_transparent":"","_kad_post_title":"","_kad_post_layout":"left","_kad_post_sidebar_id":"","_kad_post_content_style":"","_kad_post_vertical_padding":"","_kad_post_feature":"hide","_kad_post_feature_position":"","_kad_post_header":false,"_kad_post_footer":false},"categories":[8],"tags":[],"_links":{"self":[{"href":"https:\/\/mapir.isa.uma.es\/mapirwebsite\/index.php?rest_route=\/wp\/v2\/posts\/2577"}],"collection":[{"href":"https:\/\/mapir.isa.uma.es\/mapirwebsite\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/mapir.isa.uma.es\/mapirwebsite\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/mapir.isa.uma.es\/mapirwebsite\/index.php?rest_route=\/wp\/v2\/users\/8"}],"replies":[{"embeddable":true,"href":"https:\/\/mapir.isa.uma.es\/mapirwebsite\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=2577"}],"version-history":[{"count":21,"href":"https:\/\/mapir.isa.uma.es\/mapirwebsite\/index.php?rest_route=\/wp\/v2\/posts\/2577\/revisions"}],"predecessor-version":[{"id":3845,"href":"https:\/\/mapir.isa.uma.es\/mapirwebsite\/index.php?rest_route=\/wp\/v2\/posts\/2577\/revisions\/3845"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/mapir.isa.uma.es\/mapirwebsite\/index.php?rest_route=\/wp\/v2\/media\/2578"}],"wp:attachment":[{"href":"https:\/\/mapir.isa.uma.es\/mapirwebsite\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=2577"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/mapir.isa.uma.es\/mapirwebsite\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=2577"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/mapir.isa.uma.es\/mapirwebsite\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=2577"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}