{"id":5451,"date":"2023-10-26T17:17:32","date_gmt":"2023-10-26T15:17:32","guid":{"rendered":"https:\/\/auto.bme.hu\/onvezeto-jarmuvek-kutatocsoport\/"},"modified":"2024-06-05T16:05:13","modified_gmt":"2024-06-05T14:05:13","slug":"automated-vehicles","status":"publish","type":"page","link":"https:\/\/auto.bme.hu\/en\/automated-vehicles\/","title":{"rendered":"Cooperative Perception"},"content":{"rendered":"\n<style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-8exw-4a5b80275161d3b5d98e403281f05cc6\">\n.avia-section.av-8exw-4a5b80275161d3b5d98e403281f05cc6{\nbackground-color:#ffffff;\nbackground-image:unset;\n}\n<\/style>\n<div id='av_section_1'  class='avia-section av-8exw-4a5b80275161d3b5d98e403281f05cc6 main_color avia-section-default avia-no-border-styling  avia-builder-el-0  avia-builder-el-no-sibling  felepites avia-bg-style-scroll container_wrap sidebar_right'  ><div class='container av-section-cont-open' ><main  role=\"main\" itemprop=\"mainContentOfPage\"  class='template-page content  av-content-small alpha units'><div class='post-entry post-entry-type-page post-entry-5451'><div class='entry-content-wrapper clearfix'>\n\n<style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-lpjs8bfz-2ae6e4402b004aab11fe89448547c688\">\n#top .av-special-heading.av-lpjs8bfz-2ae6e4402b004aab11fe89448547c688{\npadding-bottom:10px;\n}\nbody .av-special-heading.av-lpjs8bfz-2ae6e4402b004aab11fe89448547c688 .av-special-heading-tag .heading-char{\nfont-size:25px;\n}\n.av-special-heading.av-lpjs8bfz-2ae6e4402b004aab11fe89448547c688 .av-subheading{\nfont-size:15px;\n}\n<\/style>\n<div  class='av-special-heading av-lpjs8bfz-2ae6e4402b004aab11fe89448547c688 av-special-heading-h2  avia-builder-el-1  el_before_av_one_full  avia-builder-el-first '><h2 class='av-special-heading-tag'  itemprop=\"headline\"  >Cooperative Perception<\/h2><div class=\"special-heading-border\"><div class=\"special-heading-inner-border\"><\/div><\/div><\/div>\n\n<style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-1kh0dj-814e8890199a3e7ee97ca18468f264be\">\n.flex_column.av-1kh0dj-814e8890199a3e7ee97ca18468f264be{\nborder-radius:0px 0px 0px 0px;\npadding:0px 0px 0px 0px;\n}\n<\/style>\n<div  class='flex_column av-1kh0dj-814e8890199a3e7ee97ca18468f264be av_one_full  avia-builder-el-2  el_after_av_heading  el_before_av_two_third  first flex_column_div av-zero-column-padding  '     ><section  class='av_textblock_section av-kjoddx8f-42f03f383ec692a83fd865f00884b8fc '   itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/CreativeWork\" ><div class='avia_textblock'  itemprop=\"text\" ><p><b>Team leader: Andr\u00e1s <\/b><b>R\u00f6vid, PhD<\/b><\/p>\n<\/div><\/section><\/div>\n<style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-1kh0dj-10-057eab181e242fb67ef2a06b5e6ea676\">\n.flex_column.av-1kh0dj-10-057eab181e242fb67ef2a06b5e6ea676{\nborder-radius:0px 0px 0px 0px;\npadding:0px 0px 0px 0px;\n}\n<\/style>\n<div  class='flex_column av-1kh0dj-10-057eab181e242fb67ef2a06b5e6ea676 av_two_third  avia-builder-el-4  el_after_av_one_full  el_before_av_one_third  first flex_column_div av-zero-column-padding  column-top-margin'     ><p><section  class='av_textblock_section av-kjoddx8f-9-512f7a01a14e1528c850317e68a0f161 '   itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/CreativeWork\" ><div class='avia_textblock'  itemprop=\"text\" ><p><strong><img loading=\"lazy\" decoding=\"async\" src=\"\/wp-content\/uploads\/2023\/11\/dr._Rovid_Andras-825x1030.jpg\" alt=\"\" width=\"368\" height=\"460\" class=\"alignleft wp-image-5331\" srcset=\"https:\/\/auto.bme.hu\/wp-content\/uploads\/2023\/11\/dr._Rovid_Andras-825x1030.jpg 825w, https:\/\/auto.bme.hu\/wp-content\/uploads\/2023\/11\/dr._Rovid_Andras-240x300.jpg 240w, https:\/\/auto.bme.hu\/wp-content\/uploads\/2023\/11\/dr._Rovid_Andras-768x959.jpg 768w, https:\/\/auto.bme.hu\/wp-content\/uploads\/2023\/11\/dr._Rovid_Andras.jpg 1152w\" sizes=\"auto, (max-width: 368px) 100vw, 368px\" \/><\/strong><\/p>\n<p><strong>The main professional and research areas<\/strong><\/p>\n<p>The group focuses on AI-enabled environment perception, with a particular emphasis on the development of object recognition and location algorithms using data from different sensors. In addition, they are working on the further development of raw and higher level sensor fusion methods and the creation of digital twin models of the environment in real time, including both static and dynamic objects. This digital twin model will form the basis for the development of advanced features closely related to autonomous vehicles.<\/p>\n<p>Data from sensors installed in infrastructure and vehicles are used to create the digital twin. An essential part of their work is to test and validate the algorithms developed in a real environment. They also focus on the implementation of augmented reality-based tests, which are closely related to scenario in the loop (SCIL) and hardware in the loop (HIL) testing methodologies. These methodologies allow combining real and virtual test environments and thus allow a wider range of traffic situations to be tested compared to previous testing methodologies.<\/p>\n<p>Furthermore, the group is paying particular attention to the development of multimodal sensor calibration methods and the demonstration of different scenarios in virtual or augmented environments.<\/p>\n<p>In addition to theoretical research, the research team is also putting the results into practice, with self-driving vehicles developed in-house, including the Smart Fortwo, with 3 in-house developed functions; the BMW M2 with automated drift function; and the Land Rover Evoque test vehicle equipped with environmental sensing devices and optional steering and pedal robot.<\/p>\n<p>The group works in close cooperation with the ZalaZONE test track. Joint research projects are being carried out with a number of industrial partners, local and international automotive companies, road operators and telecommunications companies.<\/p>\n<p><strong>Key industrial partnerships, most significant projects<\/strong><\/p>\n<p>Among several ongoing and completed projects, we highlight the following two:<\/p>\n<p>The project &#8220;Validation and verification of sensors\/components (classical and artificial intelligence based) for self-driving cars by involving the ZalaZONE test track&#8221; &#8211; 2019-1.1.1 PIACI KFI was funded by the National Research, Development and Innovation Fund (NRDI Fund), in the framework of the &#8220;Support for market-oriented research, development and innovation projects (2019-1.1.1-PIACI KFI)&#8221;. The consortium is led by the Budapest Development Centre of Robert Bosch Ltd.<\/p>\n<p>The project &#8220;Central System for Supporting the Testing and Operation of Automated Vehicles&#8221; &#8211; 2020-1.2.3-EUREKA-2021-00001, an Austrian-Hungarian cooperation, is led by BME. The main objective of the project is the cross-border testing and joint research and development of automated driving. Several Austrian and Hungarian industrial partners are involved in the project.<\/p>\n<p><strong>Key results that are also of industrial use<\/strong><\/p>\n<ul><\/ul>\n<p>In the research and development project involving the ZalaZONE test track, BME and Robert Bosch Ltd. validated and verified the sensors and components required for automated driving. The university-industry collaboration resulted in the validation and verification concept of the latest generation of front camera and radar. This process was further developed and extended by the experts &#8211; including measurements to test performance, stability and robustness. A multi-sensor reference measurement system was developed, capable of generating reference data to support the evaluation and validation of these sensors.<\/p>\n<p><strong>The research team\u2019s relations with students<\/strong><\/p>\n<p>The research group is supported by PhD, MSc and BSc students on a variety of topics, with a special focus on AI-enabled environmental sensing. Students are developing functionalities for complex autonomous systems, testing their operation in real environments, and applying state-of-the-art tools and technologies to solve various problems related to autonomous vehicles, with a focus on environmental sensing and digital twin model generation.<\/p>\n<p>More interesting details can be found on <a href=\"https:\/\/automateddrive.bme.hu\/\">the research team&#8217;s website.<\/a><\/p>\n<\/div><\/section><br \/>\n\n<style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-lnn6suaf-2fa679e2ccf508e711803cb2420a8074\">\n#top .hr.hr-invisible.av-lnn6suaf-2fa679e2ccf508e711803cb2420a8074{\nheight:10px;\n}\n<\/style>\n<div  class='hr av-lnn6suaf-2fa679e2ccf508e711803cb2420a8074 hr-invisible  avia-builder-el-6  el_after_av_textblock  el_before_av_button '><span class='hr-inner '><span class=\"hr-inner-style\"><\/span><\/span><\/div><br \/>\n<div  class='avia-button-wrap 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