{"id":503,"date":"2024-08-12T15:15:15","date_gmt":"2024-08-12T07:15:15","guid":{"rendered":"http:\/\/110.42.248.92\/onsite-learning-center\/?page_id=503"},"modified":"2025-03-17T19:24:14","modified_gmt":"2025-03-17T11:24:14","slug":"%e5%bc%80%e5%a7%8b-%e6%84%9f%e7%9f%a5","status":"publish","type":"page","link":"http:\/\/110.42.248.92\/onsite-learning-center\/en\/%e5%bf%ab%e9%80%9f%e5%bc%80%e5%a7%8b\/%e5%bc%80%e5%a7%8b-%e6%84%9f%e7%9f%a5\/","title":{"rendered":"Start - Perception"},"content":{"rendered":"<div class=\"fusion-fullwidth fullwidth-box fusion-builder-row-1 fusion-flex-container has-pattern-background has-mask-background nonhundred-percent-fullwidth non-hundred-percent-height-scrolling\" style=\"--awb-border-radius-top-left:0px;--awb-border-radius-top-right:0px;--awb-border-radius-bottom-right:0px;--awb-border-radius-bottom-left:0px;--awb-flex-wrap:wrap;\" ><div class=\"fusion-builder-row fusion-row fusion-flex-align-items-flex-start fusion-flex-content-wrap\" style=\"max-width:1248px;margin-left: calc(-4% \/ 2 );margin-right: calc(-4% \/ 2 );\"><div class=\"fusion-layout-column fusion_builder_column fusion-builder-column-0 fusion_builder_column_1_4 1_4 fusion-flex-column\" style=\"--awb-bg-size:cover;--awb-width-large:25%;--awb-margin-top-large:0px;--awb-spacing-right-large:7.68%;--awb-margin-bottom-large:20px;--awb-spacing-left-large:7.68%;--awb-width-medium:25%;--awb-order-medium:0;--awb-spacing-right-medium:7.68%;--awb-spacing-left-medium:7.68%;--awb-width-small:100%;--awb-order-small:0;--awb-spacing-right-small:1.92%;--awb-spacing-left-small:1.92%;\"><div class=\"fusion-column-wrapper fusion-column-has-shadow fusion-flex-justify-content-flex-start fusion-content-layout-column\"><div class=\"fusion-text fusion-text-1\"><\/div><nav class=\"awb-menu awb-menu_column awb-menu_em-click mobile-mode-collapse-to-button awb-menu_icons-left awb-menu_dc-yes mobile-trigger-fullwidth-off awb-menu_mobile-toggle mobile-size-full-absolute loading 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98%));--awb-mobile-trigger-font-size:22px;--awb-mobile-trigger-color:var(--awb-color8);--awb-mobile-nav-trigger-bottom-margin:10px;--awb-mobile-font-size:var(--awb-typography3-font-size);--awb-mobile-text-transform:var(--awb-typography3-text-transform);--awb-mobile-line-height:var(--awb-typography3-line-height);--awb-mobile-letter-spacing:var(--awb-typography3-letter-spacing);--awb-mobile-justify:center;--awb-mobile-caret-left:auto;--awb-mobile-caret-right:0;--awb-box-shadow: 0px 0px ;;--awb-fusion-font-family-typography:var(--awb-typography3-font-family);--awb-fusion-font-weight-typography:var(--awb-typography3-font-weight);--awb-fusion-font-style-typography:var(--awb-typography3-font-style);--awb-fusion-font-family-submenu-typography:var(--awb-typography5-font-family);--awb-fusion-font-weight-submenu-typography:var(--awb-typography5-font-weight);--awb-fusion-font-style-submenu-typography:var(--awb-typography5-font-style);--awb-fusion-font-family-mobile-typography:var(--awb-typography3-font-family);--awb-fusion-font-weight-mobile-typography:var(--awb-typography3-font-weight);--awb-fusion-font-style-mobile-typography:var(--awb-typography3-font-style);\" aria-label=\"Quick Start\" data-breakpoint=\"640\" data-count=\"0\" data-transition-type=\"fade\" data-transition-time=\"300\"><button type=\"button\" class=\"awb-menu__m-toggle\" aria-expanded=\"false\" aria-controls=\"menu-%e5%bf%ab%e9%80%9f%e5%bc%80%e5%a7%8b\"><span class=\"awb-menu__m-toggle-inner\"><span class=\"collapsed-nav-text\">Menu<\/span><span class=\"awb-menu__m-collapse-icon\"><span class=\"awb-menu__m-collapse-icon-open fa-bars fas\"><\/span><span class=\"awb-menu__m-collapse-icon-close fa-times fas\"><\/span><\/span><\/span><\/button><ul id=\"menu-%e5%bf%ab%e9%80%9f%e5%bc%80%e5%a7%8b\" class=\"fusion-menu awb-menu__main-ul awb-menu__main-ul_column\"><li  id=\"menu-item-898\"  class=\"menu-item menu-item-type-post_type menu-item-object-page menu-item-has-children menu-item-898 awb-menu__li awb-menu__main-li awb-menu__main-li_regular\"  data-item-id=\"898\"><span class=\"awb-menu__main-background-default awb-menu__main-background-default_fade\"><\/span><span class=\"awb-menu__main-background-active awb-menu__main-background-active_fade\"><\/span><a  href=\"http:\/\/110.42.248.92\/onsite-learning-center\/en\/%e5%bf%ab%e9%80%9f%e5%bc%80%e5%a7%8b\/%e5%bc%80%e5%a7%8b-%e6%84%9f%e7%9f%a5\/\" class=\"awb-menu__main-a awb-menu__main-a_regular\"><span class=\"menu-text\">Perception<\/span><\/a><button type=\"button\" aria-label=\"Open submenu of Perception\" aria-expanded=\"false\" class=\"awb-menu__open-nav-submenu_mobile awb-menu__open-nav-submenu_click awb-menu__open-nav-submenu_main awb-menu__open-nav-submenu_needs-spacing\"><\/button><ul class=\"awb-menu__sub-ul awb-menu__sub-ul_main\"><li  id=\"menu-item-1537\"  class=\"menu-item menu-item-type-post_type menu-item-object-page menu-item-1537 awb-menu__li awb-menu__sub-li\" ><a  href=\"http:\/\/110.42.248.92\/onsite-learning-center\/en\/%e5%bf%ab%e9%80%9f%e5%bc%80%e5%a7%8b\/%e5%bc%80%e5%a7%8b-%e6%84%9f%e7%9f%a5\/%e5%bc%80%e5%a7%8b-%e6%84%9f%e7%9f%a5-%e8%af%ad%e4%b9%89%e5%88%86%e5%89%b2\/\" class=\"awb-menu__sub-a\"><span>Code-Semantic Segmentation<\/span><\/a><\/li><li  id=\"menu-item-1535\"  class=\"menu-item menu-item-type-post_type menu-item-object-page menu-item-1535 awb-menu__li awb-menu__sub-li\" ><a  href=\"http:\/\/110.42.248.92\/onsite-learning-center\/en\/%e5%bf%ab%e9%80%9f%e5%bc%80%e5%a7%8b\/%e5%bc%80%e5%a7%8b-%e6%84%9f%e7%9f%a5\/%e5%bc%80%e5%a7%8b-%e6%84%9f%e7%9f%a5-%e6%b7%b1%e5%ba%a6%e4%bc%b0%e8%ae%a1\/\" class=\"awb-menu__sub-a\"><span>Code - Depth Estimation<\/span><\/a><\/li><li  id=\"menu-item-1533\"  class=\"menu-item menu-item-type-post_type menu-item-object-page menu-item-1533 awb-menu__li awb-menu__sub-li\" ><a  href=\"http:\/\/110.42.248.92\/onsite-learning-center\/en\/%e5%bf%ab%e9%80%9f%e5%bc%80%e5%a7%8b\/%e5%bc%80%e5%a7%8b-%e6%84%9f%e7%9f%a5\/%e5%bc%80%e5%a7%8b-%e6%84%9f%e7%9f%a5-2d%e7%9b%ae%e6%a0%87%e6%a3%80%e6%b5%8b\/\" class=\"awb-menu__sub-a\"><span>Code-2D Object Detection<\/span><\/a><\/li><li  id=\"menu-item-1566\"  class=\"menu-item menu-item-type-post_type menu-item-object-page menu-item-1566 awb-menu__li awb-menu__sub-li\" ><a  href=\"http:\/\/110.42.248.92\/onsite-learning-center\/en\/%e5%bf%ab%e9%80%9f%e5%bc%80%e5%a7%8b\/%e5%bc%80%e5%a7%8b-%e6%84%9f%e7%9f%a5\/%e5%bc%80%e5%a7%8b-%e6%84%9f%e7%9f%a5-%e7%9b%ae%e6%a0%87%e8%bf%bd%e8%b8%aa\/\" class=\"awb-menu__sub-a\"><span>Code - Goal Tracking<\/span><\/a><\/li><\/ul><\/li><li  id=\"menu-item-1473\"  class=\"menu-item menu-item-type-post_type menu-item-object-page menu-item-has-children menu-item-1473 awb-menu__li awb-menu__main-li awb-menu__main-li_regular\"  data-item-id=\"1473\"><span class=\"awb-menu__main-background-default awb-menu__main-background-default_fade\"><\/span><span class=\"awb-menu__main-background-active awb-menu__main-background-active_fade\"><\/span><a  href=\"http:\/\/110.42.248.92\/onsite-learning-center\/en\/%e5%bf%ab%e9%80%9f%e5%bc%80%e5%a7%8b\/%e5%bc%80%e5%a7%8b-%e9%a2%84%e6%b5%8b\/\" class=\"awb-menu__main-a awb-menu__main-a_regular\"><span class=\"menu-text\">Prediction<\/span><\/a><button type=\"button\" aria-label=\"Open submenu of Prediction\" aria-expanded=\"false\" class=\"awb-menu__open-nav-submenu_mobile awb-menu__open-nav-submenu_click awb-menu__open-nav-submenu_main awb-menu__open-nav-submenu_needs-spacing\"><\/button><ul class=\"awb-menu__sub-ul awb-menu__sub-ul_main\"><li  id=\"menu-item-1926\"  class=\"menu-item menu-item-type-post_type menu-item-object-page menu-item-1926 awb-menu__li awb-menu__sub-li\" ><a  href=\"http:\/\/110.42.248.92\/onsite-learning-center\/en\/%e5%bf%ab%e9%80%9f%e5%bc%80%e5%a7%8b\/%e5%bc%80%e5%a7%8b-%e9%a2%84%e6%b5%8b\/%e5%bc%80%e5%a7%8b-%e9%a2%84%e6%b5%8b-%e8%bd%a8%e8%bf%b9%e9%a2%84%e6%b5%8b%ef%bc%9a%e5%8d%95%e8%bd%a6%e5%8d%95%e6%a8%a1%e6%80%81%e8%bd%a6%e8%bd%a8%e8%bf%b9%e9%a2%84%e6%b5%8b\/\" class=\"awb-menu__sub-a\"><span>Code \u2013 bicycle trajectory prediction<\/span><\/a><\/li><li  id=\"menu-item-1545\"  class=\"menu-item menu-item-type-post_type menu-item-object-page menu-item-1545 awb-menu__li awb-menu__sub-li\" ><a  href=\"http:\/\/110.42.248.92\/onsite-learning-center\/en\/%e5%bf%ab%e9%80%9f%e5%bc%80%e5%a7%8b\/%e5%bc%80%e5%a7%8b-%e9%a2%84%e6%b5%8b\/%e5%bc%80%e5%a7%8b-%e9%a2%84%e6%b5%8b-vru%e8%bd%a8%e8%bf%b9%e9%a2%84%e6%b5%8b\/\" class=\"awb-menu__sub-a\"><span>Code-VRU trajectory prediction<\/span><\/a><\/li><li  id=\"menu-item-1658\"  class=\"menu-item menu-item-type-post_type menu-item-object-page menu-item-1658 awb-menu__li awb-menu__sub-li\" ><a  href=\"http:\/\/110.42.248.92\/onsite-learning-center\/en\/%e5%bf%ab%e9%80%9f%e5%bc%80%e5%a7%8b\/%e5%bc%80%e5%a7%8b-%e9%a2%84%e6%b5%8b\/%e5%bc%80%e5%a7%8b-%e9%a2%84%e6%b5%8b-%e6%9c%ba%e5%8a%a8%e8%bd%a6%e8%bd%a8%e8%bf%b9%e9%a2%84%e6%b5%8b-cloned\/\" class=\"awb-menu__sub-a\"><span>Code-Multi-vehicle trajectory prediction<\/span><\/a><\/li><\/ul><\/li><li  id=\"menu-item-897\"  class=\"menu-item menu-item-type-post_type menu-item-object-page menu-item-has-children menu-item-897 awb-menu__li awb-menu__main-li awb-menu__main-li_regular\"  data-item-id=\"897\"><span class=\"awb-menu__main-background-default awb-menu__main-background-default_fade\"><\/span><span class=\"awb-menu__main-background-active awb-menu__main-background-active_fade\"><\/span><a  href=\"http:\/\/110.42.248.92\/onsite-learning-center\/en\/%e5%bf%ab%e9%80%9f%e5%bc%80%e5%a7%8b\/%e5%bc%80%e5%a7%8b-%e8%a7%84%e5%88%92-%e5%86%b3%e7%ad%96\/\" class=\"awb-menu__main-a awb-menu__main-a_regular\"><span class=\"menu-text\">Decision\/Planning Problems<\/span><\/a><button type=\"button\" aria-label=\"Open submenu of Decision\/Planning Problems\" aria-expanded=\"false\" class=\"awb-menu__open-nav-submenu_mobile awb-menu__open-nav-submenu_click awb-menu__open-nav-submenu_main awb-menu__open-nav-submenu_needs-spacing\"><\/button><ul class=\"awb-menu__sub-ul awb-menu__sub-ul_main\"><li  id=\"menu-item-1530\"  class=\"menu-item menu-item-type-post_type menu-item-object-page menu-item-1530 awb-menu__li awb-menu__sub-li\" ><a  href=\"http:\/\/110.42.248.92\/onsite-learning-center\/en\/%e5%bf%ab%e9%80%9f%e5%bc%80%e5%a7%8b\/%e5%bc%80%e5%a7%8b-%e8%a7%84%e5%88%92-%e5%86%b3%e7%ad%96\/%e5%bc%80%e5%a7%8b-%e5%86%b3%e7%ad%96-%e8%a7%84%e5%88%92-%e8%a1%8c%e4%b8%ba%e5%86%b3%e7%ad%96\/\" class=\"awb-menu__sub-a\"><span>Code-Bike Decisions<\/span><\/a><\/li><li  id=\"menu-item-1742\"  class=\"menu-item menu-item-type-post_type menu-item-object-page menu-item-1742 awb-menu__li awb-menu__sub-li\" ><a  href=\"http:\/\/110.42.248.92\/onsite-learning-center\/en\/%e5%bf%ab%e9%80%9f%e5%bc%80%e5%a7%8b\/%e5%bc%80%e5%a7%8b-%e8%a7%84%e5%88%92-%e5%86%b3%e7%ad%96\/%e5%bc%80%e5%a7%8b-%e5%86%b3%e7%ad%96-%e8%a7%84%e5%88%92-%e5%8d%8f%e5%90%8c%e5%86%b3%e7%ad%96\/\" class=\"awb-menu__sub-a\"><span>Code - Collaborative Decision Making<\/span><\/a><\/li><li  id=\"menu-item-1532\"  class=\"menu-item menu-item-type-post_type menu-item-object-page menu-item-1532 awb-menu__li awb-menu__sub-li\" ><a  href=\"http:\/\/110.42.248.92\/onsite-learning-center\/en\/%e5%bf%ab%e9%80%9f%e5%bc%80%e5%a7%8b\/%e5%bc%80%e5%a7%8b-%e8%a7%84%e5%88%92-%e5%86%b3%e7%ad%96\/%e5%bc%80%e5%a7%8b-%e5%86%b3%e7%ad%96-%e8%a7%84%e5%88%92-%e8%bf%90%e5%8a%a8%e8%a7%84%e5%88%92\/\" class=\"awb-menu__sub-a\"><span>Code-Motion Planning<\/span><\/a><\/li><\/ul><\/li><li  id=\"menu-item-899\"  class=\"menu-item menu-item-type-post_type menu-item-object-page menu-item-has-children menu-item-899 awb-menu__li awb-menu__main-li awb-menu__main-li_regular\"  data-item-id=\"899\"><span class=\"awb-menu__main-background-default awb-menu__main-background-default_fade\"><\/span><span class=\"awb-menu__main-background-active awb-menu__main-background-active_fade\"><\/span><a  href=\"http:\/\/110.42.248.92\/onsite-learning-center\/en\/%e5%bf%ab%e9%80%9f%e5%bc%80%e5%a7%8b\/%e5%bc%80%e5%a7%8b-%e6%8e%a7%e5%88%b6\/\" class=\"awb-menu__main-a awb-menu__main-a_regular\"><span class=\"menu-text\">Control<\/span><\/a><button type=\"button\" aria-label=\"Open submenu of Control\" aria-expanded=\"false\" class=\"awb-menu__open-nav-submenu_mobile awb-menu__open-nav-submenu_click awb-menu__open-nav-submenu_main awb-menu__open-nav-submenu_needs-spacing\"><\/button><ul class=\"awb-menu__sub-ul awb-menu__sub-ul_main\"><li  id=\"menu-item-1538\"  class=\"menu-item menu-item-type-post_type menu-item-object-page menu-item-1538 awb-menu__li awb-menu__sub-li\" ><a  href=\"http:\/\/110.42.248.92\/onsite-learning-center\/en\/%e5%bf%ab%e9%80%9f%e5%bc%80%e5%a7%8b\/%e5%bc%80%e5%a7%8b-%e6%8e%a7%e5%88%b6\/%e5%bc%80%e5%a7%8b-%e6%8e%a7%e5%88%b6-%e6%a8%aa%e5%90%91%e6%8e%a7%e5%88%b6\/\" class=\"awb-menu__sub-a\"><span>Code - Horizontal Control<\/span><\/a><\/li><li  id=\"menu-item-1539\"  class=\"menu-item menu-item-type-post_type menu-item-object-page menu-item-1539 awb-menu__li awb-menu__sub-li\" ><a  href=\"http:\/\/110.42.248.92\/onsite-learning-center\/en\/%e5%bf%ab%e9%80%9f%e5%bc%80%e5%a7%8b\/%e5%bc%80%e5%a7%8b-%e6%8e%a7%e5%88%b6\/%e5%bc%80%e5%a7%8b-%e6%8e%a7%e5%88%b6-%e7%ba%b5%e5%90%91%e6%8e%a7%e5%88%b6\/\" class=\"awb-menu__sub-a\"><span>Code-vertical control<\/span><\/a><\/li><li  id=\"menu-item-1540\"  class=\"menu-item menu-item-type-post_type menu-item-object-page menu-item-1540 awb-menu__li awb-menu__sub-li\" ><a  href=\"http:\/\/110.42.248.92\/onsite-learning-center\/en\/%e5%bf%ab%e9%80%9f%e5%bc%80%e5%a7%8b\/%e5%bc%80%e5%a7%8b-%e6%8e%a7%e5%88%b6\/%e5%bc%80%e5%a7%8b-%e6%8e%a7%e5%88%b6-%e8%80%a6%e5%90%88%e6%8e%a7%e5%88%b6\/\" class=\"awb-menu__sub-a\"><span>Code-coupling control<\/span><\/a><\/li><\/ul><\/li><li  id=\"menu-item-2558\"  class=\"menu-item menu-item-type-post_type menu-item-object-page menu-item-2558 awb-menu__li awb-menu__main-li awb-menu__main-li_regular\"  data-item-id=\"2558\"><span class=\"awb-menu__main-background-default awb-menu__main-background-default_fade\"><\/span><span class=\"awb-menu__main-background-active awb-menu__main-background-active_fade\"><\/span><a  href=\"http:\/\/110.42.248.92\/onsite-learning-center\/en\/%e5%bf%ab%e9%80%9f%e5%bc%80%e5%a7%8b\/%e5%bc%80%e5%a7%8b-%e7%ab%af%e5%88%b0%e7%ab%af\/\" class=\"awb-menu__main-a awb-menu__main-a_regular\"><span class=\"menu-text\">End-to-End Autonomous Driving<\/span><\/a><\/li><\/ul><\/nav><\/div><\/div><div class=\"fusion-layout-column fusion_builder_column fusion-builder-column-1 fusion_builder_column_3_4 3_4 fusion-flex-column\" style=\"--awb-bg-size:cover;--awb-width-large:75%;--awb-margin-top-large:0px;--awb-spacing-right-large:2.56%;--awb-margin-bottom-large:20px;--awb-spacing-left-large:2.56%;--awb-width-medium:75%;--awb-order-medium:0;--awb-spacing-right-medium:2.56%;--awb-spacing-left-medium:2.56%;--awb-width-small:100%;--awb-order-small:0;--awb-spacing-right-small:1.92%;--awb-spacing-left-small:1.92%;\"><div class=\"fusion-column-wrapper fusion-column-has-shadow fusion-flex-justify-content-flex-start fusion-content-layout-column\"><div class=\"fusion-text fusion-text-2\" style=\"--awb-font-size:38px;--awb-line-height:var(--awb-typography1-line-height);--awb-letter-spacing:var(--awb-typography1-letter-spacing);--awb-text-transform:var(--awb-typography1-text-transform);--awb-text-font-family:var(--awb-typography1-font-family);--awb-text-font-weight:var(--awb-typography1-font-weight);--awb-text-font-style:var(--awb-typography1-font-style);\"><p>Perception<\/p>\n<\/div><div class=\"fusion-text fusion-text-3\" style=\"--awb-content-alignment:left;--awb-font-size:18px;--awb-line-height:2;--awb-letter-spacing:var(--awb-typography3-letter-spacing);--awb-text-transform:var(--awb-typography3-text-transform);--awb-text-font-family:&quot;Outfit&quot;;--awb-text-font-style:normal;--awb-text-font-weight:400;\"><p style=\"text-align: left;\">Perception is the first essential module in autonomous driving. It determines whether a system can accurately identify and understand its surroundings. By efficiently recognizing environmental elements such as traffic signs and other road users, the system can identify hazards in time and respond appropriately, improving driving safety and passenger comfort. Progress in perception also supports the development and optimization of intelligent transportation systems.<\/p>\n<p>Perception issues are broken down into:<span style=\"color: #ff9900;\"><a style=\"color: #ff9900;\" href=\"http:\/\/110.42.248.92\/onsite-learning-center\/en\/%e5%bf%ab%e9%80%9f%e5%bc%80%e5%a7%8b\/%e5%bc%80%e5%a7%8b-%e6%84%9f%e7%9f%a5\/%e5%bc%80%e5%a7%8b-%e6%84%9f%e7%9f%a5-%e8%af%ad%e4%b9%89%e5%88%86%e5%89%b2\/\">Semantic Segmentation<\/a><span style=\"color: #000000;\">\u3001<\/span><a style=\"color: #ff9900;\" href=\"http:\/\/110.42.248.92\/onsite-learning-center\/en\/%e5%bf%ab%e9%80%9f%e5%bc%80%e5%a7%8b\/%e5%bc%80%e5%a7%8b-%e6%84%9f%e7%9f%a5\/%e5%bc%80%e5%a7%8b-%e6%84%9f%e7%9f%a5-%e6%b7%b1%e5%ba%a6%e4%bc%b0%e8%ae%a1\/\">Depth Estimation<\/a><span style=\"color: #000000;\">\u3001<\/span><a style=\"color: #ff9900;\" href=\"http:\/\/110.42.248.92\/onsite-learning-center\/en\/%e5%bf%ab%e9%80%9f%e5%bc%80%e5%a7%8b\/%e5%bc%80%e5%a7%8b-%e6%84%9f%e7%9f%a5\/%e5%bc%80%e5%a7%8b-%e6%84%9f%e7%9f%a5-2d%e7%9b%ae%e6%a0%87%e6%a3%80%e6%b5%8b\/\">2D Object Detection<\/a><span style=\"color: #000000;\">\u3001<\/span><a href=\"http:\/\/110.42.248.92\/onsite-learning-center\/en\/%e5%bf%ab%e9%80%9f%e5%bc%80%e5%a7%8b\/%e5%bc%80%e5%a7%8b-%e6%84%9f%e7%9f%a5\/%e5%bc%80%e5%a7%8b-%e6%84%9f%e7%9f%a5-%e7%9b%ae%e6%a0%87%e8%bf%bd%e8%b8%aa\/\"><span style=\"color: #ff9900;\">Object Tracking<\/span><\/a><span style=\"color: #000000;\">\u3002<\/span><\/span><\/p>\n<\/div><div class=\"fusion-separator fusion-full-width-sep\" style=\"align-self: center;margin-left: auto;margin-right: auto;margin-bottom:30px;width:100%;\"><div class=\"fusion-separator-border sep-double sep-solid\" style=\"--awb-height:20px;--awb-amount:20px;border-color:var(--awb-color3);border-top-width:1px;border-bottom-width:1px;\"><\/div><\/div><div class=\"fusion-content-boxes content-boxes columns row fusion-columns-1 fusion-columns-total-1 fusion-content-boxes-1 content-boxes-icon-with-title content-left\" style=\"--awb-hover-accent-color:var(--awb-color4);--awb-circle-hover-accent-color:var(--awb-color4);--awb-item-margin-bottom:40px;\" data-animationoffset=\"top-into-view\"><div style=\"--awb-backgroundcolor:rgba(255,255,255,0);\" class=\"fusion-column content-box-column content-box-column content-box-column-1 col-lg-12 col-md-12 col-sm-12 fusion-content-box-hover content-box-column-last content-box-column-last-in-row\"><div class=\"col content-box-wrapper content-wrapper link-area-link-icon content-icon-wrapper-yes icon-hover-animation-fade\" data-animationoffset=\"top-into-view\"><div class=\"heading heading-with-icon icon-left\"><div class=\"icon\"><span style=\"height:42px;width:42px;line-height:22px;border-color:rgba(255,255,255,0);border-width:1px;border-style:solid;background-color:var(--awb-color8);box-sizing:content-box;border-radius:50%;\"><i style=\"border-color:var(--awb-color8);border-width:1px;background-color:var(--awb-color7);box-sizing:content-box;height:40px;width:40px;line-height:40px;border-radius:50%;position:relative;top:auto;left:auto;margin:0;border-radius:50%;font-size:20px;\" aria-hidden=\"true\" class=\"fontawesome-icon fa-road fas circle-yes\"><\/i><\/span><\/div><h2 class=\"content-box-heading\" style=\"--h2_typography-font-size:24px;line-height:29px;\">Semantic Segmentation<\/h2><\/div><div class=\"fusion-clearfix\"><\/div><div class=\"content-container\">\n<p style=\"line-height: 2; font-size: 17px;\">The semantic segmentation task aims to classify each pixel in the input image into a specific category, such as road, vehicle, pedestrian, etc. The difficulty of this task lies in the need to deal with complex backgrounds and occlusions, ensuring that different types of objects can be accurately distinguished under various lighting conditions and weather environments. The input is usually one or more RGB images, and the output is a label map corresponding to the category to which each pixel of the image belongs. For example, in one image, roads are marked with one color, vehicles with another color, and pedestrians with a third color.<\/p>\n<\/div><\/div><\/div><div class=\"fusion-clearfix\"><\/div><\/div><div class=\"fusion-content-boxes content-boxes columns row fusion-columns-1 fusion-columns-total-1 fusion-content-boxes-2 content-boxes-icon-with-title content-left\" style=\"--awb-margin-top:-10%;--awb-hover-accent-color:var(--awb-color4);--awb-circle-hover-accent-color:var(--awb-color4);--awb-item-margin-bottom:40px;\" data-animationoffset=\"top-into-view\"><div style=\"--awb-backgroundcolor:rgba(255,255,255,0);\" class=\"fusion-column content-box-column content-box-column content-box-column-1 col-lg-12 col-md-12 col-sm-12 fusion-content-box-hover content-box-column-last content-box-column-last-in-row\"><div class=\"col content-box-wrapper content-wrapper link-area-link-icon content-icon-wrapper-yes icon-hover-animation-fade\" data-animationoffset=\"top-into-view\"><div class=\"heading heading-with-icon icon-left\"><div class=\"icon\"><span style=\"height:42px;width:42px;line-height:22px;border-color:rgba(255,255,255,0);border-width:1px;border-style:solid;background-color:var(--awb-color8);box-sizing:content-box;border-radius:50%;\"><i style=\"border-color:var(--awb-color8);border-width:1px;background-color:var(--awb-color7);box-sizing:content-box;height:40px;width:40px;line-height:40px;border-radius:50%;position:relative;top:auto;left:auto;margin:0;border-radius:50%;font-size:20px;\" aria-hidden=\"true\" class=\"fontawesome-icon fa-ruler-vertical fas circle-yes\"><\/i><\/span><\/div><h2 class=\"content-box-heading\" style=\"--h2_typography-font-size:24px;line-height:29px;\">Depth Estimation<\/h2><\/div><div class=\"fusion-clearfix\"><\/div><div class=\"content-container\">\n<p style=\"line-height: 2; font-size: 17px;\">The depth estimation task aims to infer the distance of each pixel or region from the camera from a single image or a series of images. The difficulty lies in the need to recover three-dimensional information in the absence of stereoscopic vision, especially at long distances and in texture-poor scenes. The input is usually one or more RGB images, and the output is a depth map, where the value of each pixel represents the distance from the point to the camera. For example, in an image, foreground objects have lower pixel values \u200b\u200b(indicating that they are closer) and background objects have higher pixel values \u200b\u200b(indicating that they are farther away).<\/p>\n<\/div><\/div><\/div><div class=\"fusion-clearfix\"><\/div><\/div><div class=\"fusion-content-boxes content-boxes columns row fusion-columns-1 fusion-columns-total-1 fusion-content-boxes-3 content-boxes-icon-with-title content-left\" style=\"--awb-margin-top:-10%;--awb-hover-accent-color:var(--awb-color4);--awb-circle-hover-accent-color:var(--awb-color4);--awb-item-margin-bottom:40px;\" data-animationoffset=\"top-into-view\"><div style=\"--awb-backgroundcolor:rgba(255,255,255,0);\" class=\"fusion-column content-box-column content-box-column content-box-column-1 col-lg-12 col-md-12 col-sm-12 fusion-content-box-hover content-box-column-last content-box-column-last-in-row\"><div class=\"col content-box-wrapper content-wrapper link-area-link-icon content-icon-wrapper-yes icon-hover-animation-fade\" data-animationoffset=\"top-into-view\"><div class=\"heading heading-with-icon icon-left\"><div class=\"icon\"><span style=\"height:42px;width:42px;line-height:22px;border-color:rgba(255,255,255,0);border-width:1px;border-style:solid;background-color:var(--awb-color8);box-sizing:content-box;border-radius:50%;\"><i style=\"border-color:var(--awb-color8);border-width:1px;background-color:var(--awb-color7);box-sizing:content-box;height:40px;width:40px;line-height:40px;border-radius:50%;position:relative;top:auto;left:auto;margin:0;border-radius:50%;font-size:20px;\" aria-hidden=\"true\" class=\"fontawesome-icon fa-camera fas circle-yes\"><\/i><\/span><\/div><h2 class=\"content-box-heading\" style=\"--h2_typography-font-size:24px;line-height:29px;\">2D Object Detection<\/h2><\/div><div class=\"fusion-clearfix\"><\/div><div class=\"content-container\">\n<p style=\"line-height: 2; font-size: 17px;\">The goal of the object detection task is to identify and locate specific objects, such as vehicles, pedestrians, traffic signs, etc., from input images. The difficulty lies in the need to accurately detect targets at different scales, angles, and occlusion situations, and to distinguish different categories of objects. The input is usually one or more RGB images, and the output is a bounding box containing each detected object and its class label. For example, if a car is detected, the output includes not only the car's location information, but also its class label. Object detection requires the model to have good generalization ability and robustness to cope with complex and changeable driving environments.<\/p>\n<\/div><\/div><\/div><div class=\"fusion-clearfix\"><\/div><\/div><div class=\"fusion-content-boxes content-boxes columns row fusion-columns-1 fusion-columns-total-1 fusion-content-boxes-4 content-boxes-icon-with-title content-left\" style=\"--awb-margin-top:-10%;--awb-hover-accent-color:var(--awb-color4);--awb-circle-hover-accent-color:var(--awb-color4);--awb-item-margin-bottom:40px;\" data-animationoffset=\"top-into-view\"><div style=\"--awb-backgroundcolor:rgba(255,255,255,0);\" class=\"fusion-column content-box-column content-box-column content-box-column-1 col-lg-12 col-md-12 col-sm-12 fusion-content-box-hover content-box-column-last content-box-column-last-in-row\"><div class=\"col content-box-wrapper content-wrapper link-area-link-icon content-icon-wrapper-yes icon-hover-animation-fade\" data-animationoffset=\"top-into-view\"><div class=\"heading heading-with-icon icon-left\"><div class=\"icon\"><span style=\"height:42px;width:42px;line-height:22px;border-color:rgba(255,255,255,0);border-width:1px;border-style:solid;background-color:var(--awb-color8);box-sizing:content-box;border-radius:50%;\"><i style=\"border-color:var(--awb-color8);border-width:1px;background-color:var(--awb-color7);box-sizing:content-box;height:40px;width:40px;line-height:40px;border-radius:50%;position:relative;top:auto;left:auto;margin:0;border-radius:50%;font-size:20px;\" aria-hidden=\"true\" class=\"fontawesome-icon fa-film fas circle-yes\"><\/i><\/span><\/div><h2 class=\"content-box-heading\" style=\"--h2_typography-font-size:24px;line-height:29px;\">Object Tracking<\/h2><\/div><div class=\"fusion-clearfix\"><\/div><div class=\"content-container\">\n<p style=\"line-height: 2; font-size: 17px;\">The target tracking task is to track the motion trajectory of a specific target in consecutive video frames. The difficulty of this task lies in dealing with issues such as rapid movement, occlusion, and appearance changes of the target. The input is usually a series of consecutive image frames converted from the video, and the output is the position information of each object in each frame. For example, for a moving car, object tracking requires continuously tracking its position changes over a series of video frames. This requires the model to not only have the ability to identify targets, but also be able to handle the correlation of targets between different frames to ensure the coherence and accuracy of tracking.<\/p>\n<\/div><\/div><\/div><div class=\"fusion-clearfix\"><\/div><\/div><\/div><\/div><\/div><\/div>","protected":false},"excerpt":{"rendered":"","protected":false},"author":5,"featured_media":0,"parent":47,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"100-width.php","meta":{"inline_featured_image":false,"iawp_total_views":3834,"footnotes":""},"class_list":["post-503","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"http:\/\/110.42.248.92\/onsite-learning-center\/en\/wp-json\/wp\/v2\/pages\/503"}],"collection":[{"href":"http:\/\/110.42.248.92\/onsite-learning-center\/en\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"http:\/\/110.42.248.92\/onsite-learning-center\/en\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"http:\/\/110.42.248.92\/onsite-learning-center\/en\/wp-json\/wp\/v2\/users\/5"}],"replies":[{"embeddable":true,"href":"http:\/\/110.42.248.92\/onsite-learning-center\/en\/wp-json\/wp\/v2\/comments?post=503"}],"version-history":[{"count":25,"href":"http:\/\/110.42.248.92\/onsite-learning-center\/en\/wp-json\/wp\/v2\/pages\/503\/revisions"}],"predecessor-version":[{"id":1455,"href":"http:\/\/110.42.248.92\/onsite-learning-center\/en\/wp-json\/wp\/v2\/pages\/503\/revisions\/1455"}],"up":[{"embeddable":true,"href":"http:\/\/110.42.248.92\/onsite-learning-center\/en\/wp-json\/wp\/v2\/pages\/47"}],"wp:attachment":[{"href":"http:\/\/110.42.248.92\/onsite-learning-center\/en\/wp-json\/wp\/v2\/media?parent=503"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}