{"id":96860,"date":"2026-01-27T12:46:30","date_gmt":"2026-01-27T11:46:30","guid":{"rendered":"https:\/\/xitaso.com\/?page_id=96860"},"modified":"2026-03-10T08:04:18","modified_gmt":"2026-03-10T07:04:18","slug":"resimcav","status":"publish","type":"page","link":"https:\/\/xitaso.com\/en\/projects\/resimcav\/","title":{"rendered":"ReSimCAV: Realistic Simulation for Connected Autonomous Vehicles (CAVs)"},"content":{"rendered":"<div class=\"wpb-content-wrapper\"><p>[vc_row css_animation=&#8221;&#8221; row_type=&#8221;row&#8221; use_row_as_full_screen_section=&#8221;no&#8221; type=&#8221;full_width&#8221; angled_section=&#8221;no&#8221; text_align=&#8221;left&#8221; background_image_as_pattern=&#8221;without_pattern&#8221; z_index=&#8221;&#8221; el_class=&#8221;header_level2_container&#8221;][vc_column][vc_row_inner row_type=&#8221;row&#8221; type=&#8221;full_width&#8221; text_align=&#8221;left&#8221; css_animation=&#8221;&#8221; css=&#8221;.vc_custom_1768806186707{background-image: url(https:\/\/xitaso.com\/wp-content\/uploads\/ReSimCav-Header-wide.jpg?id=96871) !important;}&#8221;][vc_column_inner offset=&#8221;vc_hidden-xs&#8221;][vc_empty_space height=&#8221;500&#8243;][\/vc_column_inner][\/vc_row_inner][vc_row_inner row_type=&#8221;row&#8221; type=&#8221;full_width&#8221; text_align=&#8221;left&#8221; css_animation=&#8221;&#8221;][vc_column_inner offset=&#8221;vc_hidden-lg vc_hidden-md vc_hidden-sm&#8221;][vc_single_image image=&#8221;96869&#8243; img_size=&#8221;full&#8221; css=&#8221;&#8221; qode_css_animation=&#8221;&#8221;][\/vc_column_inner][\/vc_row_inner][vc_row_inner row_type=&#8221;row&#8221; type=&#8221;grid&#8221; text_align=&#8221;left&#8221; css_animation=&#8221;&#8221;][vc_column_inner][vc_raw_html css=&#8221;&#8221;]JTNDZGl2JTIwY2xhc3MlM0QlMjJoZWFkZXJfbGV2ZWwyJTIyJTNFJTBBJTNDZGl2JTIwY2xhc3MlM0QlMjJ0b3BwZXIlMjIlM0VBdXRvbm9tb3VzJTIwc3lzdGVtcyUzQyUyRmRpdiUzRSUwQSUzQ2gxJTNFUmVhbGlzdGljJTIwU2ltdWxhdGlvbiUyMGZvciUyMENvbm5lY3RlZCUyMEF1dG9ub21vdXMlMjBWZWhpY2xlcyUyMCUyOENBVnMlMjklM0MlMkZoMSUzRSUwQSUzQyUyRmRpdiUzRSUwQSUwQQ==[\/vc_raw_html][\/vc_column_inner][\/vc_row_inner][\/vc_column][\/vc_row][vc_row css_animation=&#8221;&#8221; row_type=&#8221;row&#8221; use_row_as_full_screen_section=&#8221;no&#8221; type=&#8221;full_width&#8221; angled_section=&#8221;no&#8221; text_align=&#8221;left&#8221; background_image_as_pattern=&#8221;without_pattern&#8221; css=&#8221;.vc_custom_1720089032683{background-color: #e8e0e0 !important;}&#8221; z_index=&#8221;&#8221;][vc_column][vc_row_inner row_type=&#8221;row&#8221; type=&#8221;grid&#8221; text_align=&#8221;left&#8221; css_animation=&#8221;&#8221;][vc_column_inner width=&#8221;1\/2&#8243;][vc_empty_space height=&#8221;60&#8243;][vc_column_text css=&#8221;&#8221;]<\/p>\n<h2>The challenge<\/h2>\n<p><span data-contrast=\"auto\">Connected Autonomous Vehicles (CAVs) rely on vehicle networks, advanced sensor technology, and cooperative perception to improve road safety, driving comfort, and energy efficiency. However, validating these systems under real-world conditions remains a major challenge.<\/span><span data-ccp-props=\"{&quot;335551550&quot;:6,&quot;335551620&quot;:6}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">Real-world data collection and physical testing are costly, time-consuming, and difficult to scale. Existing simulation frameworks are often limited to single-agent setups, static scenarios, or simplified communication models, making them unsuitable for testing complex, safety-critical traffic situations involving multiple interacting vehicles.<\/span><span data-ccp-props=\"{&quot;335551550&quot;:6,&quot;335551620&quot;:6}\">\u00a0<\/span><\/p>\n<p><span class=\"TextRun SCXW196494624 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW196494624 BCX0\">As a result, the performance of CAV systems in complex scenarios\u00a0<\/span><span class=\"NormalTextRun SCXW196494624 BCX0\">remains<\/span><span class=\"NormalTextRun SCXW196494624 BCX0\">\u00a0suboptimal, and potential communication failures or safety risks are often detected too late in the development process.<\/span><\/span><span class=\"EOP SCXW196494624 BCX0\" data-ccp-props=\"{&quot;335551550&quot;:6,&quot;335551620&quot;:6}\">\u00a0<\/span>[\/vc_column_text][vc_empty_space height=&#8221;30&#8243;][vc_empty_space height=&#8221;30&#8243; el_class=&#8221;ausgeblendet&#8221;][\/vc_column_inner][vc_column_inner width=&#8221;1\/2&#8243;][vc_empty_space height=&#8221;30&#8243; el_class=&#8221;not-on-mobile&#8221;][vc_empty_space height=&#8221;30&#8243;][vc_column_text css=&#8221;&#8221;]<\/p>\n<h2>How we will help<\/h2>\n<p><span data-contrast=\"auto\">To achieve this, XITASO extends the established <\/span><b><span data-contrast=\"auto\">single-agent\u00a0Autoware\u00a0framework<\/span><\/b><span data-contrast=\"auto\">\u00a0into a\u00a0<\/span><b><span data-contrast=\"auto\">scalable multi-agent simulation environment<\/span><\/b><span data-contrast=\"auto\">\u00a0and combines it with\u00a0state-of-the-art\u00a0AI and network simulation technologies:<\/span><span data-ccp-props=\"{&quot;335551550&quot;:6,&quot;335551620&quot;:6}\">\u00a0<\/span><\/p>\n<ul>\n<li aria-setsize=\"-1\" data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"1\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;\uf0b7&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" data-aria-posinset=\"1\" data-aria-level=\"1\"><span data-contrast=\"auto\">AI-based generation of realistic traffic scenarios, trajectories, and maps<\/span><span data-ccp-props=\"{&quot;335551550&quot;:6,&quot;335551620&quot;:6}\">\u00a0<\/span><\/li>\n<\/ul>\n<ul>\n<li aria-setsize=\"-1\" data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"1\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;\uf0b7&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" data-aria-posinset=\"2\" data-aria-level=\"1\"><span data-contrast=\"auto\">Generation of multimodal synthetic sensor data (LiDAR, Radar, RGB-T) with realistic characteristics<\/span><span data-ccp-props=\"{&quot;335551550&quot;:6,&quot;335551620&quot;:6}\">\u00a0<\/span><\/li>\n<\/ul>\n<ul>\n<li aria-setsize=\"-1\" data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"1\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;\uf0b7&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" data-aria-posinset=\"3\" data-aria-level=\"1\"><span data-contrast=\"auto\">Integration of physical network simulators to accurately model real-world V2X communication<\/span><span data-ccp-props=\"{&quot;335551550&quot;:6,&quot;335551620&quot;:6}\">\u00a0<\/span><\/li>\n<\/ul>\n<ul>\n<li aria-setsize=\"-1\" data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"1\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;\uf0b7&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" data-aria-posinset=\"4\" data-aria-level=\"1\"><span data-contrast=\"auto\">Scenario management for reproducible and complex test cases<\/span><span data-ccp-props=\"{&quot;335551550&quot;:6,&quot;335551620&quot;:6}\">\u00a0<\/span><\/li>\n<\/ul>\n<ul>\n<li aria-setsize=\"-1\" data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"1\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;\uf0b7&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" data-aria-posinset=\"5\" data-aria-level=\"1\"><span data-contrast=\"auto\">An adaptive evaluator to iteratively reduce the Sim2Real gap<\/span><span data-ccp-props=\"{&quot;335551550&quot;:6,&quot;335551620&quot;:6}\">\u00a0<\/span><\/li>\n<\/ul>\n<ul>\n<li aria-setsize=\"-1\" data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"1\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;\uf0b7&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" data-aria-posinset=\"6\" data-aria-level=\"1\"><span data-contrast=\"auto\">A seamless interaction between simulation and AI generation enables the evaluation of autonomous driving functions under realistic and safety-critical traffic conditions.<\/span><span data-ccp-props=\"{&quot;335551550&quot;:6,&quot;335551620&quot;:6}\">\u00a0<\/span><\/li>\n<\/ul>\n<p>[\/vc_column_text][vc_empty_space height=&#8221;30&#8243;][\/vc_column_inner][\/vc_row_inner][vc_row_inner row_type=&#8221;row&#8221; type=&#8221;grid&#8221; text_align=&#8221;left&#8221; css_animation=&#8221;&#8221;][vc_column_inner][vc_column_text css=&#8221;&#8221;]<\/p>\n<h2>Technologies &amp; topics<\/h2>\n<p>[\/vc_column_text][vc_empty_space height=&#8221;15&#8243;][vc_raw_html css=&#8221;&#8221;]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[\/vc_raw_html][vc_empty_space height=&#8221;60&#8243;][\/vc_column_inner][\/vc_row_inner][\/vc_column][\/vc_row][vc_row css_animation=&#8221;&#8221; row_type=&#8221;row&#8221; use_row_as_full_screen_section=&#8221;no&#8221; type=&#8221;grid&#8221; angled_section=&#8221;no&#8221; text_align=&#8221;left&#8221; background_image_as_pattern=&#8221;without_pattern&#8221; z_index=&#8221;&#8221;][vc_column][vc_empty_space height=&#8221;30&#8243; el_class=&#8221;not-on-mobile&#8221;][vc_empty_space height=&#8221;50&#8243;][\/vc_column][\/vc_row][vc_row css_animation=&#8221;&#8221; row_type=&#8221;row&#8221; use_row_as_full_screen_section=&#8221;no&#8221; type=&#8221;full_width&#8221; angled_section=&#8221;no&#8221; text_align=&#8221;left&#8221; background_image_as_pattern=&#8221;without_pattern&#8221; el_class=&#8221;two-column-with-heading-on-top&#8221; z_index=&#8221;&#8221;][vc_column][vc_row_inner row_type=&#8221;row&#8221; type=&#8221;grid&#8221; text_align=&#8221;left&#8221; css_animation=&#8221;&#8221;][vc_column_inner][vc_column_text css=&#8221;&#8221;]<\/p>\n<div class=\"wpb_text_column wpb_content_element text_max_750\">\n<div class=\"wpb_wrapper\">\n<div class=\"vc_row wpb_row section vc_row-fluid vc_inner grid_section\">\n<div class=\" section_inner clearfix\">\n<div class=\"section_inner_margin clearfix\">\n<div class=\"wpb_column vc_column_container vc_col-sm-12\">\n<div class=\"vc_column-inner\">\n<div class=\"wpb_wrapper\">\n<div class=\"wpb_text_column wpb_content_element \">\n<div class=\"wpb_wrapper\">\n<h2>The research project in detail<\/h2>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<p>[\/vc_column_text][\/vc_column_inner][\/vc_row_inner][\/vc_column][\/vc_row][vc_row css_animation=&#8221;&#8221; row_type=&#8221;row&#8221; use_row_as_full_screen_section=&#8221;no&#8221; type=&#8221;full_width&#8221; angled_section=&#8221;no&#8221; text_align=&#8221;left&#8221; background_image_as_pattern=&#8221;without_pattern&#8221; z_index=&#8221;&#8221; el_class=&#8221;two-column-icon-and-text&#8221;][vc_column][vc_empty_space height=&#8221;30px&#8221;][vc_row_inner row_type=&#8221;row&#8221; type=&#8221;grid&#8221; text_align=&#8221;left&#8221; css_animation=&#8221;&#8221;][vc_column_inner width=&#8221;1\/2&#8243;][vc_column_text css=&#8221;&#8221; el_class=&#8221;text_max_750&#8243;]<\/p>\n<h3><span class=\"TextRun SCXW235046921 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW235046921 BCX0\">Project goal<\/span><\/span><span class=\"EOP SCXW235046921 BCX0\" data-ccp-props=\"{}\">\u00a0<\/span><\/h3>\n<p>[\/vc_column_text][vc_empty_space height=&#8221;15px&#8221;][vc_column_text css=&#8221;&#8221;]<span data-contrast=\"auto\">The goal of this project is to develop a\u00a0<\/span><b><span data-contrast=\"auto\">highly realistic virtual vehicle simulation system (vVSS)<\/span><\/b><span data-contrast=\"auto\">\u00a0for connected and autonomous vehicles.<\/span><span data-ccp-props=\"{&quot;335551550&quot;:6,&quot;335551620&quot;:6}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">The system enables efficient development, testing, and validation of autonomous driving functions under realistic traffic, sensor, and communication conditions. By shifting critical validation steps into a virtual environment, development cycles can be significantly shortened while reducing dependency on expensive physical testing.<\/span><span data-ccp-props=\"{&quot;335551550&quot;:6,&quot;335551620&quot;:6}\">\u00a0<\/span>[\/vc_column_text][vc_empty_space height=&#8221;30&#8243; el_class=&#8221;only-on-mobile&#8221;][\/vc_column_inner][vc_column_inner width=&#8221;1\/2&#8243;][vc_column_text css=&#8221;&#8221; el_class=&#8221;text_max_750&#8243;]<\/p>\n<h3><span class=\"TextRun SCXW238504954 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW238504954 BCX0\">Value added<\/span><\/span><\/h3>\n<p>[\/vc_column_text][vc_empty_space height=&#8221;15px&#8221;][vc_column_text css=&#8221;&#8221;]<\/p>\n<ul>\n<li aria-setsize=\"-1\" data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"13\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;\uf0b7&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" data-aria-posinset=\"1\" data-aria-level=\"1\"><span data-contrast=\"auto\">Reduced development and validation time for CAV systems<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li>\n<\/ul>\n<ul>\n<li aria-setsize=\"-1\" data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"14\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;\uf0b7&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" data-aria-posinset=\"1\" data-aria-level=\"1\"><span data-contrast=\"auto\">Lower costs through fewer physical test drives<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li>\n<\/ul>\n<ul>\n<li aria-setsize=\"-1\" data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"15\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;\uf0b7&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" data-aria-posinset=\"1\" data-aria-level=\"1\"><span data-contrast=\"auto\">Early detection of communication errors and safety risks<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li>\n<\/ul>\n<ul>\n<li aria-setsize=\"-1\" data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"16\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;\uf0b7&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" data-aria-posinset=\"1\" data-aria-level=\"1\"><span data-contrast=\"auto\">More reliable assessment of autonomous driving functions<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li>\n<\/ul>\n<ul>\n<li aria-setsize=\"-1\" data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"17\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;\uf0b7&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" data-aria-posinset=\"1\" data-aria-level=\"1\"><span data-contrast=\"auto\">Scalable and reproducible testing of complex traffic scenarios<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/li>\n<\/ul>\n<p>[\/vc_column_text][\/vc_column_inner][\/vc_row_inner][vc_empty_space height=&#8221;30&#8243; el_class=&#8221;not-on-mobile&#8221;][\/vc_column][\/vc_row][vc_row css_animation=&#8221;&#8221; row_type=&#8221;row&#8221; use_row_as_full_screen_section=&#8221;no&#8221; type=&#8221;full_width&#8221; angled_section=&#8221;no&#8221; text_align=&#8221;left&#8221; background_image_as_pattern=&#8221;without_pattern&#8221; z_index=&#8221;&#8221; el_class=&#8221;two-column-icon-and-text&#8221;][vc_column][vc_empty_space height=&#8221;30&#8243; el_class=&#8221;not-on-mobile&#8221;][vc_empty_space height=&#8221;30px&#8221;][vc_row_inner row_type=&#8221;row&#8221; type=&#8221;grid&#8221; text_align=&#8221;left&#8221; css_animation=&#8221;&#8221;][vc_column_inner width=&#8221;1\/2&#8243;][vc_column_text css=&#8221;&#8221; el_class=&#8221;text_max_750&#8243;]<\/p>\n<h3>Innovation<\/h3>\n<p>[\/vc_column_text][vc_empty_space height=&#8221;15px&#8221;][vc_column_text css=&#8221;&#8221;]<span data-contrast=\"auto\">Existing frameworks such as\u00a0OpenCDA-ROS, V2XVerse, or\u00a0AVStack\u00a0provide useful foundations but\u00a0fail to\u00a0combine realistic sensor data, traffic scenarios, and communication models in a unified simulation environment.<\/span><span data-ccp-props=\"{&quot;335551550&quot;:6,&quot;335551620&quot;:6}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">This project goes beyond the state of the art by:<\/span><span data-ccp-props=\"{&quot;335551550&quot;:6,&quot;335551620&quot;:6}\">\u00a0<\/span><\/p>\n<ul>\n<li aria-setsize=\"-1\" data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"9\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;\uf0b7&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" data-aria-posinset=\"1\" data-aria-level=\"1\"><span data-contrast=\"auto\">Using generative AI to create realistic, multimodal sensor data<\/span><span data-ccp-props=\"{&quot;335551550&quot;:6,&quot;335551620&quot;:6}\">\u00a0<\/span><\/li>\n<\/ul>\n<ul>\n<li aria-setsize=\"-1\" data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"10\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;\uf0b7&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" data-aria-posinset=\"1\" data-aria-level=\"1\"><span data-contrast=\"auto\">Incorporating physically based network simulation for V2X communication<\/span><span data-ccp-props=\"{&quot;335551550&quot;:6,&quot;335551620&quot;:6}\">\u00a0<\/span><\/li>\n<\/ul>\n<ul>\n<li aria-setsize=\"-1\" data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"11\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;\uf0b7&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" data-aria-posinset=\"1\" data-aria-level=\"1\"><span data-contrast=\"auto\">Enabling large-scale multi-agent traffic scenarios<\/span><span data-ccp-props=\"{&quot;335551550&quot;:6,&quot;335551620&quot;:6}\">\u00a0<\/span><\/li>\n<\/ul>\n<ul>\n<li aria-setsize=\"-1\" data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"12\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;\uf0b7&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" data-aria-posinset=\"1\" data-aria-level=\"1\"><span data-contrast=\"auto\">Continuously improving simulation realism through adaptive evaluation<\/span><span data-ccp-props=\"{&quot;335551550&quot;:6,&quot;335551620&quot;:6}\">\u00a0<\/span><\/li>\n<\/ul>\n<p><span data-contrast=\"auto\">The result is a significantly higher level of realism and reliability in virtual testing compared to existing solutions.<\/span><span data-ccp-props=\"{&quot;335551550&quot;:6,&quot;335551620&quot;:6}\">\u00a0<\/span>[\/vc_column_text][vc_empty_space height=&#8221;30&#8243; el_class=&#8221;only-on-mobile&#8221;][\/vc_column_inner][vc_column_inner width=&#8221;1\/2&#8243;][vc_single_image image=&#8221;100344&#8243; img_size=&#8221;full&#8221; onclick=&#8221;link_image&#8221; css=&#8221;&#8221; qode_css_animation=&#8221;&#8221;][\/vc_column_inner][\/vc_row_inner][vc_empty_space height=&#8221;30&#8243; el_class=&#8221;not-on-mobile&#8221;][\/vc_column][\/vc_row][vc_row css_animation=&#8221;&#8221; row_type=&#8221;row&#8221; use_row_as_full_screen_section=&#8221;no&#8221; type=&#8221;grid&#8221; angled_section=&#8221;no&#8221; text_align=&#8221;left&#8221; background_image_as_pattern=&#8221;without_pattern&#8221; z_index=&#8221;&#8221;][vc_column][vc_empty_space height=&#8221;30&#8243; el_class=&#8221;only-on-mobile&#8221;][vc_empty_space height=&#8221;50&#8243; el_class=&#8221;not-on-mobile&#8221;][\/vc_column][\/vc_row][vc_row css_animation=&#8221;&#8221; row_type=&#8221;row&#8221; use_row_as_full_screen_section=&#8221;no&#8221; type=&#8221;full_width&#8221; angled_section=&#8221;no&#8221; text_align=&#8221;left&#8221; background_image_as_pattern=&#8221;without_pattern&#8221; el_class=&#8221;two-column-with-heading-on-top&#8221; z_index=&#8221;&#8221;][vc_column][vc_empty_space height=&#8221;40px&#8221;][vc_row_inner row_type=&#8221;row&#8221; type=&#8221;grid&#8221; text_align=&#8221;left&#8221; css_animation=&#8221;&#8221;][vc_column_inner][vc_column_text css=&#8221;&#8221;]<\/p>\n<h2>Project participants and funding<\/h2>\n<p>[\/vc_column_text][vc_empty_space height=&#8221;30px&#8221;][\/vc_column_inner][\/vc_row_inner][\/vc_column][\/vc_row][vc_row css_animation=&#8221;&#8221; row_type=&#8221;row&#8221; use_row_as_full_screen_section=&#8221;no&#8221; type=&#8221;full_width&#8221; angled_section=&#8221;no&#8221; text_align=&#8221;left&#8221; background_image_as_pattern=&#8221;without_pattern&#8221; el_class=&#8221;two-column-with-heading-on-top&#8221; z_index=&#8221;&#8221;][vc_column][vc_row_inner row_type=&#8221;row&#8221; type=&#8221;grid&#8221; text_align=&#8221;left&#8221; css_animation=&#8221;&#8221;][vc_column_inner width=&#8221;1\/2&#8243;][vc_column_text css=&#8221;&#8221;]<\/p>\n<h3><span class=\"TextRun SCXW229855158 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW229855158 BCX0\">Certificate of eligibility<\/span><\/span><span class=\"EOP SCXW229855158 BCX0\" data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335551550&quot;:1,&quot;335551620&quot;:1,&quot;335559685&quot;:0,&quot;335559737&quot;:0,&quot;335559738&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:279}\">\u00a0<\/span><\/h3>\n<p>[\/vc_column_text][vc_empty_space height=&#8221;15px&#8221;][vc_single_image image=&#8221;97262&#8243; img_size=&#8221;150&#215;150&#8243; onclick=&#8221;custom_link&#8221; img_link_target=&#8221;_blank&#8221; css=&#8221;&#8221; qode_css_animation=&#8221;&#8221; link=&#8221;https:\/\/www.bescheinigung-forschungszulage.de\/forschung-und-entwicklung-im-rampenlicht&#8221;][vc_empty_space height=&#8221;30&#8243; el_class=&#8221;only-on-mobile&#8221;][\/vc_column_inner][vc_column_inner width=&#8221;1\/2&#8243;][vc_column_text css=&#8221;&#8221;]<\/p>\n<h3>Funding program<\/h3>\n<p>[\/vc_column_text][vc_empty_space height=&#8221;15&#8243;][vc_column_text css=&#8221;&#8221;]Research allowance[\/vc_column_text][\/vc_column_inner][\/vc_row_inner][vc_empty_space height=&#8221;40px&#8221;][\/vc_column][\/vc_row][vc_row css_animation=&#8221;&#8221; row_type=&#8221;row&#8221; use_row_as_full_screen_section=&#8221;no&#8221; type=&#8221;grid&#8221; angled_section=&#8221;no&#8221; text_align=&#8221;left&#8221; background_image_as_pattern=&#8221;without_pattern&#8221; z_index=&#8221;&#8221;][vc_column][vc_empty_space height=&#8221;40&#8243;][\/vc_column][\/vc_row][vc_row css_animation=&#8221;&#8221; row_type=&#8221;row&#8221; use_row_as_full_screen_section=&#8221;no&#8221; type=&#8221;grid&#8221; angled_section=&#8221;no&#8221; text_align=&#8221;left&#8221; background_image_as_pattern=&#8221;without_pattern&#8221; z_index=&#8221;&#8221; css=&#8221;.vc_custom_1720087119410{background-color: #e8e0e0 !important;}&#8221;][vc_column][vc_empty_space height=&#8221;40&#8243;][vc_column_text css=&#8221;&#8221;]<\/p>\n<h2 style=\"text-align: center;\">Interested in helping with our research projects?<\/h2>\n<p>[\/vc_column_text][vc_empty_space height=&#8221;15&#8243;][\/vc_column][\/vc_row][vc_row css_animation=&#8221;&#8221; row_type=&#8221;row&#8221; use_row_as_full_screen_section=&#8221;no&#8221; type=&#8221;grid&#8221; angled_section=&#8221;no&#8221; text_align=&#8221;left&#8221; background_image_as_pattern=&#8221;without_pattern&#8221; z_index=&#8221;&#8221; css=&#8221;.vc_custom_1720087955690{background-color: #e8e0e0 !important;}&#8221;][vc_column width=&#8221;1\/6&#8243;][\/vc_column][vc_column width=&#8221;2\/3&#8243;][vc_column_text css=&#8221;&#8221;]<\/p>\n<p style=\"text-align: left;\">With research and innovation projects, we explore the potential of tomorrow\u2019s technologies. For this purpose, we are always looking for committed colleagues who would like to continue and shape the XITASO path with us.<\/p>\n<p>[\/vc_column_text][vc_empty_space height=&#8221;15&#8243;][vc_column_text css=&#8221;&#8221;]<\/p>\n<p style=\"text-align: center;\"><a class=\"mitPfeil\" href=\"\/en\/career\/job-overview\/\">View all job offers<\/a><\/p>\n<p>[\/vc_column_text][vc_empty_space height=&#8221;40&#8243;][\/vc_column][\/vc_row][vc_row css_animation=&#8221;&#8221; row_type=&#8221;row&#8221; use_row_as_full_screen_section=&#8221;no&#8221; type=&#8221;grid&#8221; angled_section=&#8221;no&#8221; text_align=&#8221;left&#8221; background_image_as_pattern=&#8221;without_pattern&#8221; z_index=&#8221;&#8221;][vc_column][vc_empty_space height=&#8221;30&#8243; el_class=&#8221;not-on-mobile&#8221;][vc_empty_space height=&#8221;40&#8243;][\/vc_column][\/vc_row][vc_row css_animation=&#8221;&#8221; row_type=&#8221;row&#8221; use_row_as_full_screen_section=&#8221;no&#8221; type=&#8221;grid&#8221; angled_section=&#8221;no&#8221; text_align=&#8221;left&#8221; background_image_as_pattern=&#8221;without_pattern&#8221; z_index=&#8221;&#8221;][vc_column][vc_column_text css=&#8221;&#8221;]<\/p>\n<h2 style=\"text-align: center;\">Other projects<\/h2>\n<p>[\/vc_column_text][vc_empty_space height=&#8221;40&#8243;][\/vc_column][\/vc_row][vc_row css_animation=&#8221;&#8221; row_type=&#8221;row&#8221; use_row_as_full_screen_section=&#8221;no&#8221; type=&#8221;full_width&#8221; angled_section=&#8221;no&#8221; text_align=&#8221;left&#8221; background_image_as_pattern=&#8221;without_pattern&#8221; z_index=&#8221;&#8221; el_class=&#8221;three-column-references&#8221;][vc_column][vc_row_inner row_type=&#8221;row&#8221; type=&#8221;grid&#8221; text_align=&#8221;left&#8221; css_animation=&#8221;&#8221;][vc_column_inner width=&#8221;1\/3&#8243;][vc_raw_html css=&#8221;&#8221;]JTNDYSUyMGhyZWYlM0QlMjJodHRwcyUzQSUyRiUyRnhpdGFzby5jb20lMkZlbiUyRnByb2plY3RzJTJGdmFsaXNlbnMlMkYlMjIlM0U=[\/vc_raw_html][vc_empty_space height=&#8221;250&#8243; image_repeat=&#8221;no-repeat&#8221; background_image=&#8221;40758&#8243;][vc_column_text css=&#8221;&#8221;]<\/p>\n<div class=\"referenz_kunde\">Research project VALISENS<\/div>\n<h3>Fusing sensor data for autonomous driving<\/h3>\n<p>[\/vc_column_text][vc_raw_html]JTNDJTJGYSUzRQ==[\/vc_raw_html][\/vc_column_inner][vc_column_inner width=&#8221;1\/3&#8243;][vc_raw_html css=&#8221;&#8221;]JTNDYSUyMGhyZWYlM0QlMjJodHRwcyUzQSUyRiUyRnhpdGFzby5jb20lMkZlbiUyRnByb2plY3RzJTJGYWRlbGVzJTJGJTIyJTNFJTBB[\/vc_raw_html][vc_empty_space height=&#8221;250&#8243; image_repeat=&#8221;no-repeat&#8221; background_image=&#8221;38834&#8243;][vc_column_text css=&#8221;&#8221;]<\/p>\n<div class=\"referenz_kunde\">Research project ADELeS<\/div>\n<h3>Remedying anomalies via neuro-symbolic learning<\/h3>\n<p>[\/vc_column_text][vc_raw_html]JTNDJTJGYSUzRQ==[\/vc_raw_html][\/vc_column_inner][vc_column_inner width=&#8221;1\/3&#8243;][vc_raw_html css=&#8221;&#8221;]JTNDYSUyMGhyZWYlM0QlMjJodHRwcyUzQSUyRiUyRnhpdGFzby5jb20lMkZlbiUyRnByb2plY3RzJTJGa2lzcHAlMkYlMjIlM0U=[\/vc_raw_html][vc_empty_space height=&#8221;250&#8243; image_repeat=&#8221;no-repeat&#8221; background_image=&#8221;38817&#8243;][vc_column_text css=&#8221;&#8221;]<\/p>\n<div class=\"referenz_kunde\">Research project KISPP<\/div>\n<h3>Intelligent scheduling of nursing staff<\/h3>\n<p>[\/vc_column_text][vc_raw_html]JTNDJTJGYSUzRQ==[\/vc_raw_html][\/vc_column_inner][\/vc_row_inner][\/vc_column][\/vc_row][vc_row css_animation=&#8221;&#8221; row_type=&#8221;row&#8221; use_row_as_full_screen_section=&#8221;no&#8221; type=&#8221;grid&#8221; angled_section=&#8221;no&#8221; text_align=&#8221;left&#8221; background_image_as_pattern=&#8221;without_pattern&#8221; z_index=&#8221;&#8221;][vc_column][vc_empty_space height=&#8221;30&#8243;][vc_column_text css=&#8221;&#8221;]<\/p>\n<p style=\"text-align: center;\"><a class=\"mitPfeil\" href=\"\/en\/projects\/all-projects\/\">View all projects<\/a><\/p>\n<p>[\/vc_column_text][\/vc_column][\/vc_row][vc_row css_animation=&#8221;&#8221; row_type=&#8221;row&#8221; use_row_as_full_screen_section=&#8221;no&#8221; type=&#8221;grid&#8221; angled_section=&#8221;no&#8221; text_align=&#8221;left&#8221; background_image_as_pattern=&#8221;without_pattern&#8221; z_index=&#8221;&#8221;][vc_column][vc_empty_space height=&#8221;50&#8243; el_class=&#8221;not-on-mobile&#8221;][vc_empty_space height=&#8221;50&#8243;][\/vc_column][\/vc_row][vc_row css_animation=&#8221;&#8221; row_type=&#8221;row&#8221; use_row_as_full_screen_section=&#8221;no&#8221; type=&#8221;full_width&#8221; angled_section=&#8221;no&#8221; text_align=&#8221;left&#8221; background_image_as_pattern=&#8221;without_pattern&#8221; z_index=&#8221;&#8221; el_class=&#8221;your-contact-person&#8221; css=&#8221;.vc_custom_1720088207890{background-color: #e8e0e0 !important;}&#8221;][vc_column][vc_row_inner row_type=&#8221;row&#8221; type=&#8221;grid&#8221; text_align=&#8221;left&#8221; css_animation=&#8221;&#8221;][vc_column_inner][vc_column_text css=&#8221;&#8221;]<\/p>\n<h2 style=\"text-align: center;\">Are you interested in a project, a service or do you have any other question?<\/h2>\n<p>[\/vc_column_text][vc_single_image image=&#8221;89692&#8243; img_size=&#8221;120&#215;120&#8243; alignment=&#8221;center&#8221; style=&#8221;vc_box_circle_2&#8243; css=&#8221;&#8221; qode_css_animation=&#8221;&#8221;][vc_column_text css=&#8221;&#8221;]<\/p>\n<p style=\"text-align: center;\"><strong>Dr. Hannan Ejaz Keen<\/strong><\/p>\n<p style=\"text-align: center;\">Tel. +49 821 885 882 281<br \/>\n<a href=\"mailto:hannan.keen@xitaso.com\">hannan.keen@xitaso.com<\/a><\/p>\n<p>[\/vc_column_text][\/vc_column_inner][\/vc_row_inner][\/vc_column][\/vc_row]<\/p>\n<\/div>","protected":false},"excerpt":{"rendered":"<p>[vc_row css_animation=&#8221;&#8221; row_type=&#8221;row&#8221; use_row_as_full_screen_section=&#8221;no&#8221; type=&#8221;full_width&#8221; angled_section=&#8221;no&#8221; text_align=&#8221;left&#8221; background_image_as_pattern=&#8221;without_pattern&#8221; z_index=&#8221;&#8221; el_class=&#8221;header_level2_container&#8221;][vc_column][vc_row_inner row_type=&#8221;row&#8221; type=&#8221;full_width&#8221; text_align=&#8221;left&#8221; css_animation=&#8221;&#8221; css=&#8221;.vc_custom_1768806186707{background-image: url(https:\/\/xitaso.com\/wp-content\/uploads\/ReSimCav-Header-wide.jpg?id=96871) !important;}&#8221;][vc_column_inner offset=&#8221;vc_hidden-xs&#8221;][vc_empty_space height=&#8221;500&#8243;][\/vc_column_inner][\/vc_row_inner][vc_row_inner 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