{"id":8631,"date":"2019-11-13T03:29:25","date_gmt":"2019-11-13T08:29:25","guid":{"rendered":"https:\/\/blogs.sw.siemens.com\/simcenter\/?p=8631"},"modified":"2026-03-26T06:02:18","modified_gmt":"2026-03-26T10:02:18","slug":"8631-2","status":"publish","type":"post","link":"https:\/\/blogs.sw.siemens.com\/simcenter\/8631-2\/","title":{"rendered":"What’s new in Simcenter Prescan 2019.3?"},"content":{"rendered":"\n

Simcenter Prescan, the best physics-based simulation platform for testing and development of automated vehicles, announces the release of version 2019.3. This release proudly announces the introduction of a C++ simulation interface, the OpenSCENARIO importer, a Beta version of the Physics based lidar plugin and many other new features and updates. <\/p>\n\n\n\n

Users can continue to create the experiments in the Prescan GUI, or additionally,\nmay also choose to use the DMAPI to import roads and scenarios, create models\nand attach sensors all directly from their C++ code. Both cases are supported\nand can be executed in our new C++ interface.<\/p>\n\n\n\n

Prescan C++ simulation interface<\/strong><\/h3>\n\n\n\n

With release 2019.3, Prescan introduces the capability to execute a full\nsimulation from a C++ interface. This means that, users now can choose to run\ntheir simulations on Matlab and Simulink or on a C++ controller.<\/p>\n\n\n\n

The C++ controller has been developed to allow low-level access to\nusers: from the vehicle positions, velocities and accelerations to the\nfrequency at which each module is called. Furthermore, with release 2019.3,\nPrescan introduces the Data Model API (DMAPI) in C++ language, designed to\nseamlessly integrate and work with our new C++ execution interface. <\/p>\n\n\n\n

With the C++ Prescan simulation users can easily interface with other software packages with C++ APIs such as Amesim, ROS, Autoware and CarSim.<\/p>\n\n\n\n

New NCAP models<\/strong><\/h3>\n\n\n\n
\"Prescan<\/figure>\n\n\n\n

OpenDRIVE example<\/strong><\/h3>\n\n\n\n

Prescan 2019.3 is shipped with an OpenDRIVE example file of Atlatec.<\/p>\n\n\n\n

\"OpenDRIVE<\/figure>\n\n\n\n

OpenSCENARIO support<\/strong><\/h3>\n\n\n\n

OpenSCENARIO is the simulation industry standard for event-based\nscenario description. With Prescan 2019.3 we release the OpenSCENARIO importer\nfor Prescan, supporting event-based lane-changes, breaking and constant speed\nevents.<\/p>\n\n\n\n

Beta of the physics based lidar plugin<\/strong><\/h3>\n\n\n\n

A beta version of the physics based lidar plugin is now available. This new sensor is built based on ray-tracing technology and provides very accurate and realistic raw data (point clouds) based on energy returned (including multiple returns), time effects, and the ability to model real lidars based on specific scan patterns and beam properties. <\/p>\n\n\n\n

\"Beta<\/figure>\n\n\n\n

Aimsun plugin<\/strong><\/h3>\n\n\n\n

Using the Aimsun plugin, traffic flows can be generated in Prescan by co-simulation with Aimsun. This allows for the automatic generation of human-behavior based traffic, after which the effect of the ego vehicle with respect to traffic flows, can be analyzed.<\/p>\n\n\n\n

\"Aimsun<\/figure>\n\n\n\n

Simcenter Prescan has announced previous\nreleases which contain the following features:<\/strong><\/h2>\n\n\n\n

Release 2019.1:<\/strong><\/h3>\n\n\n\n

In Release 2019.1, Simcenter Prescan introduced the new Unreal Viewer and Unreal Physics Based Camera. With the Unreal Viewer Prescan is backed by the visualization technology of the Unreal gaming engine. Additionally, the Unreal Physics Based Camera merges the physics-based pipeline of Prescan sensors and the accurate and realistic visualization capabilities of Unreal in the visual spectrum. <\/p>\n\n\n\n

For more detailed information about this release, read our blogpost<\/a> and\/or watch the video<\/a>.<\/strong><\/p>\n\n\n\n

Release 2019.2:<\/strong><\/h3>\n\n\n\n

Release 2019.2 for Simcenter Prescan expanded\nthe Unreal Physics Based Camera functionality and introduced many new data\nmodel API functions, enabling users to create their experiments them from,\nprogram their test automation and execute them in a headless mode.<\/p>\n\n\n\n

Read more about these functionalities in our blogpost<\/a>.<\/strong><\/p>\n\n\n\n

For more information about Simcenter Prescan, please visit our website. <\/a><\/strong><\/p>\n","protected":false},"excerpt":{"rendered":"

Simcenter Prescan, the best physics-based simulation platform for testing and development of automated vehicles, announces the release of version 2019.3….<\/p>\n","protected":false},"author":1622,"featured_media":8632,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"spanish_translation":"","french_translation":"","german_translation":"","italian_translation":"","polish_translation":"","japanese_translation":"","chinese_translation":"","footnotes":""},"categories":[1,179],"tags":[82,16],"industry":[89],"product":[511],"coauthors":[],"class_list":["post-8631","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-news","category-product-updates","tag-digital-twin","tag-system-simulation","industry-automotive-transportation","product-simcenter-prescan"],"featured_image_url":"https:\/\/blogs.sw.siemens.com\/wp-content\/uploads\/sites\/6\/2019\/11\/ShowOffScene4.png","_links":{"self":[{"href":"https:\/\/blogs.sw.siemens.com\/simcenter\/wp-json\/wp\/v2\/posts\/8631","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/blogs.sw.siemens.com\/simcenter\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/blogs.sw.siemens.com\/simcenter\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/blogs.sw.siemens.com\/simcenter\/wp-json\/wp\/v2\/users\/1622"}],"replies":[{"embeddable":true,"href":"https:\/\/blogs.sw.siemens.com\/simcenter\/wp-json\/wp\/v2\/comments?post=8631"}],"version-history":[{"count":4,"href":"https:\/\/blogs.sw.siemens.com\/simcenter\/wp-json\/wp\/v2\/posts\/8631\/revisions"}],"predecessor-version":[{"id":11230,"href":"https:\/\/blogs.sw.siemens.com\/simcenter\/wp-json\/wp\/v2\/posts\/8631\/revisions\/11230"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/blogs.sw.siemens.com\/simcenter\/wp-json\/wp\/v2\/media\/8632"}],"wp:attachment":[{"href":"https:\/\/blogs.sw.siemens.com\/simcenter\/wp-json\/wp\/v2\/media?parent=8631"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/blogs.sw.siemens.com\/simcenter\/wp-json\/wp\/v2\/categories?post=8631"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/blogs.sw.siemens.com\/simcenter\/wp-json\/wp\/v2\/tags?post=8631"},{"taxonomy":"industry","embeddable":true,"href":"https:\/\/blogs.sw.siemens.com\/simcenter\/wp-json\/wp\/v2\/industry?post=8631"},{"taxonomy":"product","embeddable":true,"href":"https:\/\/blogs.sw.siemens.com\/simcenter\/wp-json\/wp\/v2\/product?post=8631"},{"taxonomy":"author","embeddable":true,"href":"https:\/\/blogs.sw.siemens.com\/simcenter\/wp-json\/wp\/v2\/coauthors?post=8631"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}