<script></script><script></script>{"id":2572,"date":"2022-10-07T20:10:01","date_gmt":"2022-10-07T20:10:01","guid":{"rendered":"https:\/\/gsw2023.com\/?post_type=dt_portfolio&#038;p=2572"},"modified":"2023-02-09T06:57:58","modified_gmt":"2023-02-09T06:57:58","slug":"3ds-smart-cities-3d-sensing-for-smart-cities","status":"publish","type":"dt_portfolio","link":"https:\/\/gsw2023.com\/index.php\/project\/3ds-smart-cities-3d-sensing-for-smart-cities\/","title":{"rendered":"3DS Smart Cities &#8211; 3D Sensing for Smart Cities"},"content":{"rendered":"<section class=\"wpb-content-wrapper\"><p>[vc_row][vc_column width=&#8221;1\/4&#8243;][vc_single_image image=&#8221;2583&#8243; img_size=&#8221;322&#215;196&#8243;][\/vc_column][vc_column width=&#8221;3\/4&#8243;]<div class=\"aio-icon-component    style_1\"><div id=\"Info-box-wrap-5600\" class=\"aio-icon-box default-icon\" style=\"\"  ><div class=\"aio-icon-description ult-responsive\"  data-ultimate-target='#Info-box-wrap-5600 .aio-icon-description'  data-responsive-json-new='{\"font-size\":\"\",\"line-height\":\"\"}'  style=\"\"><\/p>\n<h5 class=\"fancy-title entry-title start-animation-done start-animation\" style=\"text-align: center;\"><span style=\"font-size: 14pt;\"><strong>3DS Smart Cities &#8211; 3D Sensing for Smart Cities<\/strong><\/span><\/h5>\n<h5><\/h5>\n<p>&nbsp;<\/p>\n<h5 style=\"text-align: justify; color: black;\"><strong>High-accuracy and high-efficiency 3D sensing and associated data processing techniques are urgently needed for smart cities. 3D geospatial data acquired by digital photogrammetry and LiDAR systems have become one of the most important data sources to support smart city applications, such as city infrastructure inventory, city planning, urban design, autonomous driving, etc. This workshop will seek contributions covering advanced topics related to the state of the art and future trends of 3D sensing technology and algorithms for smart city applications. Papers addressing the following topics are welcome: photogrammetric mapping, LiDAR point cloud processing, ubiquitous sensing, cross-modality sensing, etc. The workshop will be part of the ISPRS Geospatial Week 2023 hosted by the Arab Academy for Science, Technology, and Maritime Transport (AASTMT) in parallel with several related geospatial workshops.<\/strong><\/h5>\n<p><\/div> <!-- description --><\/div> <!-- aio-icon-box --><\/div> <!-- aio-icon-component -->[\/vc_column][\/vc_row][vc_row][vc_column][vc_separator color=&#8221;vista_blue&#8221; style=&#8221;shadow&#8221; border_width=&#8221;10&#8243;][\/vc_column][\/vc_row][vc_row][vc_column][vc_separator color=&#8221;vista_blue&#8221; border_width=&#8221;10&#8243;][\/vc_column][\/vc_row][vc_row][vc_column][vc_column_text]<\/p>\n<h1><strong>CHAIRS<\/strong><\/h1>\n<p>[\/vc_column_text]<style type=\"text\/css\" data-type=\"the7_shortcodes-inline-css\">.dt-team-shortcode.team-masonry-shortcode-id-14de6593636810be58e10d1ec7a9dbc6 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.dt-css-grid .wf-cell {\n    width: 100%;\n  }\n}\n<\/style><div class=\"dt-team-masonry-shortcode dt-team-shortcode team-masonry-shortcode-id-14de6593636810be58e10d1ec7a9dbc6 loading-effect-none mode-grid jquery-filter content-align-center content-bg-on dt-css-grid-wrap scale-img dt-css-grid-wrap dt-icon-bg-on dt-icon-border-on dt-icon-hover-bg-on dt-icon-border-hover-on move-icons-under-position resize-by-browser-width  \" data-padding=\"15px\" data-cur-page=\"1\" data-post-limit=\"-1\" data-pagination-mode=\"none\" data-desktop-columns-num=\"3\" data-v-tablet-columns-num=\"2\" data-h-tablet-columns-num=\"3\" data-phone-columns-num=\"1\" data-width=\"0px\" data-columns=\"0\"><div class=\"dt-css-grid\" ><div class=\"visible wf-cell\" data-post-id=\"2531\" data-date=\"2022-10-07T19:03:47+00:00\" data-name=\"Cheng Wang, Xiamen University, China\"><div class=\"team-container visible post post-2531 dt_team type-dt_team status-publish has-post-thumbnail hentry dt_team_category-ws4 dt_team_category-38\"><div class=\"team-media\"><a href=\"https:\/\/gsw2023.com\/index.php\/dt_team\/cheng-wang-xiamen-university-china-wg-i-8\/\" class=\"rollover layzr-bg\"><img decoding=\"async\" class=\"preload-me iso-lazy-load aspect\" src=\"data:image\/svg+xml,%3Csvg%20xmlns%3D&#39;http%3A%2F%2Fwww.w3.org%2F2000%2Fsvg&#39;%20viewBox%3D&#39;0%200%20114%20151&#39;%2F%3E\" data-src=\"https:\/\/gsw2023.com\/wp-content\/uploads\/2022\/10\/1-5.jpg\" data-srcset=\"https:\/\/gsw2023.com\/wp-content\/uploads\/2022\/10\/1-5.jpg 114w\" loading=\"eager\" style=\"--ratio: 114 \/ 151\" sizes=\"(max-width: 114px) 100vw, 114px\" width=\"114\" height=\"151\"  title=\"1\" alt=\"\" \/><\/a><\/div><div class=\"team-desc\"><div class=\"team-author\"><div class=\"team-author-name\"><a href=\"https:\/\/gsw2023.com\/index.php\/dt_team\/cheng-wang-xiamen-university-china-wg-i-8\/\">Cheng Wang, Xiamen University, China<\/a><\/div><\/div><div class=\"team-content\"><p>(WG I\/8)<\/p>\n<\/div><\/div><\/div><\/div><div class=\"visible wf-cell\" data-post-id=\"2535\" data-date=\"2022-10-07T19:04:43+00:00\" data-name=\"Chenglu Wen, Xiamen University, China\"><div class=\"team-container visible post post-2535 dt_team type-dt_team status-publish has-post-thumbnail hentry dt_team_category-ws4 dt_team_category-38\"><div class=\"team-media\"><a href=\"https:\/\/gsw2023.com\/index.php\/dt_team\/chenglu-wen-xiamen-university-china-wg-i-2\/\" class=\"rollover layzr-bg\"><img decoding=\"async\" class=\"preload-me iso-lazy-load aspect\" src=\"data:image\/svg+xml,%3Csvg%20xmlns%3D&#39;http%3A%2F%2Fwww.w3.org%2F2000%2Fsvg&#39;%20viewBox%3D&#39;0%200%20124%20151&#39;%2F%3E\" data-src=\"https:\/\/gsw2023.com\/wp-content\/uploads\/2022\/10\/3-2.jpg\" data-srcset=\"https:\/\/gsw2023.com\/wp-content\/uploads\/2022\/10\/3-2.jpg 124w\" loading=\"eager\" style=\"--ratio: 124 \/ 151\" sizes=\"(max-width: 124px) 100vw, 124px\" width=\"124\" height=\"151\"  title=\"3\" alt=\"\" \/><\/a><\/div><div class=\"team-desc\"><div class=\"team-author\"><div class=\"team-author-name\"><a href=\"https:\/\/gsw2023.com\/index.php\/dt_team\/chenglu-wen-xiamen-university-china-wg-i-2\/\">Chenglu Wen, Xiamen University, China<\/a><\/div><\/div><div class=\"team-content\"><p>(WG I\/2)<\/p>\n<\/div><\/div><\/div><\/div><div class=\"visible wf-cell\" data-post-id=\"2537\" data-date=\"2022-10-07T19:05:28+00:00\" data-name=\"Ayman Habib\"><div class=\"team-container visible post post-2537 dt_team type-dt_team status-publish has-post-thumbnail hentry dt_team_category-tut2 dt_team_category-ws4 dt_team_category-ws5 dt_team_category-71 dt_team_category-38 dt_team_category-39\"><div class=\"team-media\"><a href=\"https:\/\/gsw2023.com\/index.php\/dt_team\/ayman-habib\/\" class=\"rollover layzr-bg\"><img decoding=\"async\" class=\"preload-me iso-lazy-load aspect\" src=\"data:image\/svg+xml,%3Csvg%20xmlns%3D&#39;http%3A%2F%2Fwww.w3.org%2F2000%2Fsvg&#39;%20viewBox%3D&#39;0%200%20164%20234&#39;%2F%3E\" data-src=\"https:\/\/gsw2023.com\/wp-content\/uploads\/2022\/10\/3-5-e1675926184462.jpg\" data-srcset=\"https:\/\/gsw2023.com\/wp-content\/uploads\/2022\/10\/3-5-e1675926184462.jpg 164w\" loading=\"eager\" style=\"--ratio: 164 \/ 234\" sizes=\"(max-width: 164px) 100vw, 164px\" width=\"164\" height=\"234\"  title=\"3\" alt=\"\" \/><\/a><\/div><div class=\"team-desc\"><div class=\"team-author\"><div class=\"team-author-name\"><a href=\"https:\/\/gsw2023.com\/index.php\/dt_team\/ayman-habib\/\">Ayman Habib<\/a><\/div><\/div><div class=\"team-content\"><p>Purdue University, USA<\/p>\n<\/div><\/div><\/div><\/div><\/div><!-- iso-container|iso-grid --><\/div>[\/vc_column][\/vc_row][vc_row][vc_column width=&#8221;1\/2&#8243;]<div class=\"aio-icon-component    style_1\"><div id=\"Info-box-wrap-8759\" class=\"aio-icon-box default-icon\" style=\"\"  ><div class=\"aio-icon-description ult-responsive\"  data-ultimate-target='#Info-box-wrap-8759 .aio-icon-description'  data-responsive-json-new='{\"font-size\":\"\",\"line-height\":\"\"}'  style=\"\"><\/p>\n<h5 style=\"text-align: justify; color: brown;\"><strong><u>Themes of event:<\/u><\/strong><\/h5>\n<ul>\n<li>\n<h6><strong>Airborne photogrammetric mapping for smart cities<\/strong><\/h6>\n<\/li>\n<li>\n<h6><strong>Airborne LiDAR point cloud processing for smart cities<\/strong><\/h6>\n<\/li>\n<li>\n<h6><strong>Mobile LiDAR point cloud processing for smart cities<\/strong><\/h6>\n<\/li>\n<li>\n<h6><strong>UAS-based photogrammetric mapping for smart cities<\/strong><\/h6>\n<\/li>\n<li>\n<h6><strong>UAS borne LiDAR point cloud processing for smart cities<\/strong><\/h6>\n<\/li>\n<li>\n<h6><strong>Deep learning methods for smart cities<\/strong><\/h6>\n<\/li>\n<li>\n<h6><strong>Low-cost multi-sensor systems for smart cities<\/strong><\/h6>\n<\/li>\n<li>\n<h6><strong>Multi-sensor system design and on-board processing<\/strong><\/h6>\n<\/li>\n<li>\n<h6><strong>Cross-modality sensing data integration<\/strong><\/h6>\n<\/li>\n<li>\n<h6><strong>Ubiquitous sensing with sensors in mobile devices<\/strong><\/h6>\n<\/li>\n<li>\n<h6><strong>Sensor fusion in support of smart city applications<\/strong><\/h6>\n<\/li>\n<li class=\"m_-7709850013166616182MsoListParagraph\">\n<h6><b>Place recognition and localization for smart cities<\/b><\/h6>\n<\/li>\n<\/ul>\n<p><\/div> <!-- description --><\/div> <!-- aio-icon-box --><\/div> <!-- aio-icon-component -->[\/vc_column][vc_column width=&#8221;1\/2&#8243;]<div class=\"aio-icon-component    style_1\"><div id=\"Info-box-wrap-7899\" class=\"aio-icon-box default-icon\" style=\"\"  ><div class=\"aio-icon-description ult-responsive\"  data-ultimate-target='#Info-box-wrap-7899 .aio-icon-description'  data-responsive-json-new='{\"font-size\":\"\",\"line-height\":\"\"}'  style=\"\"><\/p>\n<h5 style=\"text-align:justify; color:brown;\"><strong><u>Scientific Committee:<\/u><\/strong><\/h5>\n<ul>\n<li>\n<h6><strong>Andrea Lingua, Polytechnic University of Turin, Italy<\/strong><\/h6>\n<\/li>\n<li>\n<h6><strong>Jiaojiao Tian, German Aerospace Center (DLR), Germany<\/strong><\/h6>\n<\/li>\n<li>\n<h6><strong>Andrea Masiero, University of Florence, Italy<\/strong><\/h6>\n<\/li>\n<li>\n<h6><strong>Rongjun Qin, Ohio State University, USA<\/strong><\/h6>\n<\/li>\n<li>\n<h6><strong>Bisheng Yang, Wuhan University, China<\/strong><\/h6>\n<\/li>\n<li>\n<h6><strong>Jonathan Li, University of Waterloo, Canada<\/strong><\/h6>\n<\/li>\n<li>\n<h6><strong>Cheng Wang, Chinese Academy of Sciences, China<\/strong><\/h6>\n<\/li>\n<li>\n<h6><strong>Chun Liu, Tongji University, China<\/strong><\/h6>\n<\/li>\n<li>\n<h6><strong>Jinha Jung, Purdue University, USA<\/strong><\/h6>\n<\/li>\n<li>\n<h6><strong>Yan Xia, Technical University of Munich, Germany<\/strong><\/h6>\n<\/li>\n<\/ul>\n<p><\/div> <!-- description --><\/div> <!-- 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