{"id":49875,"date":"2026-02-25T17:53:32","date_gmt":"2026-02-25T16:53:32","guid":{"rendered":"https:\/\/www.avsimulation.com\/?p=49875"},"modified":"2026-04-03T17:39:49","modified_gmt":"2026-04-03T15:39:49","slug":"scaner-2026-1-release-note","status":"publish","type":"post","link":"https:\/\/www.avsimulation.com\/en\/scaner-2026-1-release-note\/","title":{"rendered":"SCANeR 2026.1 : A New Generation of Simulation to Accelerate ADAS and Autonomous Vehicle Validation"},"content":{"rendered":"\n<p><\/p>\n\n\n\n<p>The <strong>SCANeR 2026.1<\/strong> release addresses the major challenges faced by <strong>ADAS and autonomous driving programs: <\/strong>integration of heterogeneous models, environment realism, campaign automation, and massive test coverage.<br>This version strengthens SCANeR as an <strong>open, modular, and industrial grade simulation platform,<\/strong> designed to seamlessly integrate into modern R&amp;D workflows.<\/p>\n\n\n\n<p class=\"has-medium-font-size\"><strong>A More Open Architecture for Scalable Simulation Workflows<\/strong><\/p>\n\n\n\n<p>Simulation teams today must operate within multi tool environments, manage proprietary models, and rely on automated validation pipelines.<br><strong>SCANeR 2026.1<\/strong> continues its evolution toward a fully interoperable platform, without compromising performance or system consistency.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Python Model API: More Flexibility, Greater Accessibility<\/h2>\n\n\n\n<p><strong>SCANeR 2026.1<\/strong> introduces a new Python Model API, offering the same capabilities as the C++ API while leveraging a language widely adopted in engineering, data, and AI environments.<\/p>\n\n\n\n<figure class=\"wp-block-image size-full\"><img fetchpriority=\"high\" decoding=\"async\" width=\"1914\" height=\"1031\" src=\"https:\/\/www.avsimulation.com\/wp-content\/uploads\/2026\/02\/image-28.png\" alt=\"image (28)\" class=\"wp-image-49923\" srcset=\"https:\/\/www.avsimulation.com\/wp-content\/uploads\/2026\/02\/image-28.png 1914w, https:\/\/www.avsimulation.com\/wp-content\/uploads\/2026\/02\/image-28-300x162.png 300w, https:\/\/www.avsimulation.com\/wp-content\/uploads\/2026\/02\/image-28-1024x552.png 1024w, https:\/\/www.avsimulation.com\/wp-content\/uploads\/2026\/02\/image-28-768x414.png 768w, https:\/\/www.avsimulation.com\/wp-content\/uploads\/2026\/02\/image-28-1536x827.png 1536w\" sizes=\"(max-width: 1914px) 100vw, 1914px\" \/><\/figure>\n\n\n\n<h3 class=\"wp-block-heading\">Key Benefits<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Flexible and adaptable for model or system development and integration<\/li>\n\n\n\n<li>Seamless integration with AI-based perception stacks<\/li>\n\n\n\n<li>Reduced complexity for industrial partners through open APIs<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">Target Users<\/h3>\n\n\n\n<p>Simulation engineers, ADAS and autonomy teams, data scientists.<\/p>\n\n\n\n<div class=\"wp-block-buttons is-content-justification-center is-layout-flex wp-container-core-buttons-is-layout-72caf8c6 wp-block-buttons-is-layout-flex\" data-popup-instance=\"49971\" data-popup-trigger-type=\"click-self\" data-popup-is-jet-engine=\"true\">\n<div class=\"wp-block-button is-style-fill\"><a class=\"wp-block-button__link has-white-color has-text-color has-background has-link-color wp-element-button\" style=\"background-color:#27348b\">Contact us to discover the SCANeR Python Model API<\/a><\/div>\n<\/div>\n\n\n\n<h2 class=\"wp-block-heading\">Advanced FMU Integration: Direct Execution of External Models<\/h2>\n\n\n\n<p><strong>SCANeR 2026.1 <\/strong>introduces FMU Dynamics, a new model type enabling the direct execution of vehicle dynamics and system models encapsulated as FMUs (FMI) within the SCANeR environment<strong>.<\/strong><\/p>\n\n\n\n<h3 class=\"wp-block-heading\">What This Enables<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Direct integration of vehicle dynamics and system models packaged as FMUs<\/li>\n\n\n\n<li>Native execution within the SCANeR Digital Vehicle Model<\/li>\n\n\n\n<li>Full consistency with the digital vehicle, sensors, and control architecture<\/li>\n\n\n\n<li>Elimination of complex network-based synchronization mechanisms<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">FMU Auto Mapping<\/h3>\n\n\n\n<p>To simplify the integration of FMUs exposing a large number of signals,<strong>SCANeR 2026.1<\/strong> introduces an auto mapping feature that automatically connects FMU ports to compatible SCANeR data paths.<\/p>\n\n\n\n<figure class=\"wp-block-image size-full\"><img decoding=\"async\" width=\"2048\" height=\"1183\" src=\"https:\/\/www.avsimulation.com\/wp-content\/uploads\/2026\/02\/image-29-scaled.png\" alt=\"image (29)\" class=\"wp-image-49926\" srcset=\"https:\/\/www.avsimulation.com\/wp-content\/uploads\/2026\/02\/image-29-scaled.png 2048w, https:\/\/www.avsimulation.com\/wp-content\/uploads\/2026\/02\/image-29-300x173.png 300w, https:\/\/www.avsimulation.com\/wp-content\/uploads\/2026\/02\/image-29-1024x591.png 1024w, https:\/\/www.avsimulation.com\/wp-content\/uploads\/2026\/02\/image-29-768x444.png 768w, https:\/\/www.avsimulation.com\/wp-content\/uploads\/2026\/02\/image-29-1536x887.png 1536w\" sizes=\"(max-width: 2048px) 100vw, 2048px\" \/><\/figure>\n\n\n\n<h3 class=\"wp-block-heading\">Results<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Faster setup<\/li>\n\n\n\n<li>Reduced manual errors<\/li>\n\n\n\n<li>More robust and reproducible integrations<\/li>\n<\/ul>\n\n\n\n<div class=\"wp-block-buttons is-content-justification-center is-layout-flex wp-container-core-buttons-is-layout-a89b3969 wp-block-buttons-is-layout-flex\" data-popup-instance=\"49971\" data-popup-trigger-type=\"click-self\">\n<div class=\"wp-block-button is-style-fill\"><a class=\"wp-block-button__link has-white-color has-text-color has-background has-link-color wp-element-button\" href=\"https:\/\/www.avsimulation.com\/en\/\" style=\"background-color:#27348b\" target=\"_blank\" rel=\"noreferrer noopener\">Learn how to integrate your FMU models into SCANeR<\/a><\/div>\n<\/div>\n\n\n\n<h2 class=\"wp-block-heading\">Guard HTTP API<\/h2>\n\n\n\n<p><strong>SCANeR 2026.1 <\/strong>introduces a Guard HTTP API, a flexible mechanism that enables external actions and conditions to temporarily block and validate transitions within the simulation state machine.<\/p>\n\n\n\n<figure class=\"wp-block-image aligncenter size-large\"><img decoding=\"async\" width=\"1024\" height=\"407\" src=\"https:\/\/www.avsimulation.com\/wp-content\/uploads\/2026\/02\/Image3-1024x407.png\" alt=\"Image3\" class=\"wp-image-49883\" srcset=\"https:\/\/www.avsimulation.com\/wp-content\/uploads\/2026\/02\/Image3-1024x407.png 1024w, https:\/\/www.avsimulation.com\/wp-content\/uploads\/2026\/02\/Image3-300x119.png 300w, https:\/\/www.avsimulation.com\/wp-content\/uploads\/2026\/02\/Image3-768x305.png 768w, https:\/\/www.avsimulation.com\/wp-content\/uploads\/2026\/02\/Image3.png 1217w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<h3 class=\"wp-block-heading\">Key Use Cases<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Advanced customization of the simulation workflow<\/li>\n\n\n\n<li>Triggering of external hardware synchronization in XIL<\/li>\n\n\n\n<li>External processes execution<\/li>\n\n\n\n<li>Safety validation &amp; precondition enforcement<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\">World Modeling: Improving Realism Without Sacrificing Productivity<\/h2>\n\n\n\n<p>The quality of driving simulation results directly depends on the fidelity of the simulated world. <strong>SCANeR 2026.1 <\/strong>significantly improves geometric quality, particularly in critical areas, while reducing modeling effort.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Advanced Intersection Surface Generation<\/h3>\n\n\n\n<p>Intersections derived from real world data often contain elevation inconsistencies. <strong>SCANeR 2026.1<\/strong> introduces a new workflow for intersection surface generation.<\/p>\n\n\n\n<figure class=\"wp-block-gallery has-nested-images columns-default is-cropped wp-block-gallery-1 is-layout-flex wp-block-gallery-is-layout-flex\">\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"576\" data-id=\"49913\" src=\"https:\/\/www.avsimulation.com\/wp-content\/uploads\/2026\/02\/image-26-1024x576.png\" alt=\"image (26)\" class=\"wp-image-49913\" srcset=\"https:\/\/www.avsimulation.com\/wp-content\/uploads\/2026\/02\/image-26-1024x576.png 1024w, https:\/\/www.avsimulation.com\/wp-content\/uploads\/2026\/02\/image-26-300x169.png 300w, https:\/\/www.avsimulation.com\/wp-content\/uploads\/2026\/02\/image-26-768x432.png 768w, https:\/\/www.avsimulation.com\/wp-content\/uploads\/2026\/02\/image-26-1536x864.png 1536w, https:\/\/www.avsimulation.com\/wp-content\/uploads\/2026\/02\/image-26.png 2000w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n<\/figure>\n\n\n\n<h3 class=\"wp-block-heading\">Key Contributions<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Smoother, more consistent surfaces<\/li>\n\n\n\n<li>Clear visualization of uneveness on trajectories<\/li>\n\n\n\n<li>Immediate assessment of vehicle comfort<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">Benefit<\/h3>\n\n\n\n<p>Early identification and correction of geometric issues before simulation campaigns.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Enhanced Procedural Generation<\/h3>\n\n\n\n<p>New procedural generation styles enable the creation of larger, more diverse, and more realistic environments, while maintaining fast and efficient workflows.<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Dutch Brick Urban Streetscape<\/strong><\/li>\n<\/ul>\n\n\n\n<figure class=\"wp-block-image size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"800\" height=\"435\" src=\"https:\/\/www.avsimulation.com\/wp-content\/uploads\/2026\/02\/image-84.jpg\" alt=\"image (84)\" class=\"wp-image-49915\" srcset=\"https:\/\/www.avsimulation.com\/wp-content\/uploads\/2026\/02\/image-84.jpg 800w, https:\/\/www.avsimulation.com\/wp-content\/uploads\/2026\/02\/image-84-300x163.jpg 300w, https:\/\/www.avsimulation.com\/wp-content\/uploads\/2026\/02\/image-84-768x418.jpg 768w\" sizes=\"(max-width: 800px) 100vw, 800px\" \/><\/figure>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Early Modern US Downtown<\/strong><\/li>\n<\/ul>\n\n\n\n<figure class=\"wp-block-image size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"800\" height=\"435\" src=\"https:\/\/www.avsimulation.com\/wp-content\/uploads\/2026\/02\/image-85.jpg\" alt=\"image (85)\" class=\"wp-image-49917\" srcset=\"https:\/\/www.avsimulation.com\/wp-content\/uploads\/2026\/02\/image-85.jpg 800w, https:\/\/www.avsimulation.com\/wp-content\/uploads\/2026\/02\/image-85-300x163.jpg 300w, https:\/\/www.avsimulation.com\/wp-content\/uploads\/2026\/02\/image-85-768x418.jpg 768w\" sizes=\"(max-width: 800px) 100vw, 800px\" \/><\/figure>\n\n\n\n<h2 class=\"wp-block-heading\">Test Management and Coverage: Greater Efficiency at Scale<\/h2>\n\n\n\n<p>Modern ADAS and autonomous vehicle validation requires running massive simulation campaigns &#8211; often involving thousands or even millions of test cases with parameter variability (weather, speeds, distances, traffic density, sensor conditions, etc.).<\/p>\n\n\n\n<p>However, once failures are detected, engineers do not want to rerun the entire campaign immediately. They need to isolate, analyze, fix, and validate efficiently.<\/p>\n\n\n\n<figure class=\"wp-block-image aligncenter size-full is-resized\"><img loading=\"lazy\" decoding=\"async\" width=\"938\" height=\"692\" src=\"https:\/\/www.avsimulation.com\/wp-content\/uploads\/2026\/02\/Image_Test_Manager_Black.png\" alt=\"Image Test Manager Black\" class=\"wp-image-49894\" style=\"width:400px\" srcset=\"https:\/\/www.avsimulation.com\/wp-content\/uploads\/2026\/02\/Image_Test_Manager_Black.png 938w, https:\/\/www.avsimulation.com\/wp-content\/uploads\/2026\/02\/Image_Test_Manager_Black-300x221.png 300w, https:\/\/www.avsimulation.com\/wp-content\/uploads\/2026\/02\/Image_Test_Manager_Black-768x567.png 768w\" sizes=\"(max-width: 938px) 100vw, 938px\" \/><\/figure>\n\n\n\n<h3 class=\"wp-block-heading\">Targeted Test Case Re-Execution<\/h3>\n\n\n\n<p>In <strong>SCANeR explore<\/strong>, it is now possible to rerun only selected test cases individually or in groups within very large campaigns.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Benefits<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Faster failure analysis<\/li>\n\n\n\n<li>Reduced debugging time<\/li>\n\n\n\n<li>More efficient iterative validation<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">KPIs Available During Execution<\/h3>\n\n\n\n<p><strong>SCANeR 2026.1<\/strong> enables KPI calculation and reporting directly during simulation execution, reducing post processing activities and accelerating decision making.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">UTAC Euro NCAP 2026 Pack: Anticipate new safety assessments<\/h2>\n\n\n\n<p>The UTAC Euro NCAP 2026standard introduces more scenarios and increased variability.<br><strong>SCANeR 2026.1<\/strong> includes a UTAC Euro NCAP 2026 Pack, available with a user trial version.<\/p>\n\n\n\n<figure class=\"wp-block-image aligncenter size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"487\" src=\"https:\/\/www.avsimulation.com\/wp-content\/uploads\/2026\/02\/Image7-1024x487.png\" alt=\"Image7\" class=\"wp-image-49896\" srcset=\"https:\/\/www.avsimulation.com\/wp-content\/uploads\/2026\/02\/Image7-1024x487.png 1024w, https:\/\/www.avsimulation.com\/wp-content\/uploads\/2026\/02\/Image7-300x143.png 300w, https:\/\/www.avsimulation.com\/wp-content\/uploads\/2026\/02\/Image7-768x365.png 768w, https:\/\/www.avsimulation.com\/wp-content\/uploads\/2026\/02\/Image7-1536x730.png 1536w, https:\/\/www.avsimulation.com\/wp-content\/uploads\/2026\/02\/Image7.png 1557w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<p><strong>Objective : <\/strong>Enable teams to anticipate new protocols for safety assessments and increase validation coverage.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Why Migrate to SCANeR 2026.1 ?<\/strong><\/h2>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Open and interoperable simulation platform<\/li>\n\n\n\n<li>Simplified integration of existing models<\/li>\n\n\n\n<li>Enhanced environmental realism<\/li>\n\n\n\n<li>Faster, more targeted large\u2011scale validation<\/li>\n\n\n\n<li>Proactive preparation for UTAC Euro NCAP 2026 standards<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">Take the Next Step<\/h3>\n\n\n\n<p>Discover how <strong>SCANeR 2026.1 <\/strong>can optimize your simulation workflows and accelerate your ADAS and autonomous vehicle projects.<\/p>\n\n\n\n<div class=\"wp-block-buttons is-layout-flex wp-block-buttons-is-layout-flex\">\n<div class=\"wp-block-button\"><a class=\"wp-block-button__link has-white-color has-text-color has-background has-link-color wp-element-button\" href=\"https:\/\/avsimulation.atlassian.net\/servicedesk\/customer\/portal\/13\/article\/970719233\" style=\"background-color:#4abed3\" target=\"_blank\" rel=\"noreferrer noopener\"><strong>Read the&nbsp;Release Note<\/strong><\/a><\/div>\n\n\n\n<div class=\"wp-block-button\"><a class=\"wp-block-button__link has-white-color has-text-color has-background has-link-color wp-element-button\" href=\"mailto:contact@avsimulation.com\" style=\"background-color:#a1cde8\"><strong>Contact us : contact@avsimulation.com<\/strong><\/a><\/div>\n<\/div>\n\n\n\n<p><\/p>\n","protected":false},"excerpt":{"rendered":"<p>The SCANeR 2026.1 release addresses the major challenges faced by ADAS and autonomous driving programs: integration of heterogeneous models, environment realism, campaign automation, and massive test coverage.This version strengthens SCANeR as an open, modular, and industrial grade simulation platform, designed to seamlessly integrate into modern R&amp;D workflows. A More Open Architecture for Scalable Simulation Workflows [&hellip;]<\/p>\n","protected":false},"author":7,"featured_media":49898,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[11],"tags":[141,140,136,139,138],"topics":[170],"class_list":["post-49875","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-release-notes","tag-improvements","tag-new-features","tag-release-note","tag-scaner-next","tag-scaner-powered-by-next","topics-170"],"_links":{"self":[{"href":"https:\/\/www.avsimulation.com\/en\/wp-json\/wp\/v2\/posts\/49875","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.avsimulation.com\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.avsimulation.com\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.avsimulation.com\/en\/wp-json\/wp\/v2\/users\/7"}],"replies":[{"embeddable":true,"href":"https:\/\/www.avsimulation.com\/en\/wp-json\/wp\/v2\/comments?post=49875"}],"version-history":[{"count":30,"href":"https:\/\/www.avsimulation.com\/en\/wp-json\/wp\/v2\/posts\/49875\/revisions"}],"predecessor-version":[{"id":50087,"href":"https:\/\/www.avsimulation.com\/en\/wp-json\/wp\/v2\/posts\/49875\/revisions\/50087"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.avsimulation.com\/en\/wp-json\/wp\/v2\/media\/49898"}],"wp:attachment":[{"href":"https:\/\/www.avsimulation.com\/en\/wp-json\/wp\/v2\/media?parent=49875"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.avsimulation.com\/en\/wp-json\/wp\/v2\/categories?post=49875"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.avsimulation.com\/en\/wp-json\/wp\/v2\/tags?post=49875"},{"taxonomy":"topics","embeddable":true,"href":"https:\/\/www.avsimulation.com\/en\/wp-json\/wp\/v2\/topics?post=49875"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}