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DTSTAMP:20230603T120111Z
UID:3C9A916D-C16E-45BE-A0AD-D22C7FDAA972
DTSTART;TZID=Europe/Berlin:20230531T170000
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DESCRIPTION:Join us\, Wednesday\, 31st of May\, 2023\, at 17:00 PM CET for 
 an exciting virtual talk by Dr. Reza Rezaei on the topic &quot;Virtual Field De
 velopment and Testing Methodology for AD/ADAS System&quot;.\n\nThis talk is par
 t of the ITSS Distinguished Lecture Series (DLS)\, organized by the [ITSS 
 Germany Chapter](https://ieee-itss-germany.org/) and technically co-sponso
 red by IAV GmbH.\n\nTopic:\n\nVirtual Field Development and Testing Method
 ology for AD/ADAS System\n\nAbstract:\n\nThe development of autonomous dri
 ving systems requires comprehensive testing and validation to ensure that 
 the regulatory requirements are fulfilled\, and the system performs reliab
 ly and safely under all operating conditions. Innovative virtual field val
 idation methods are becoming increasingly important not only due to the co
 st reduction in the development but also for covering more operating condi
 tions. It also allows for testing of rare and dangerous scenarios without 
 risking physical harm to the test vehicle\, and traffic participants.\n\nT
 he current results of virtual field testing and validation methodology of 
 AD/ADAS systems\, with a specific focus on visual perception will be discu
 ssed. First\, an overview of the AD/ADAS development process and the use o
 f virtual testing are presented. Then the challenges associated with camer
 a-based perception systems and computer vision algorithms under various en
 vironmental and lighting conditions\, including camera soling are discusse
 d.\n\nThe model-based methodology developed to create adverse and challeng
 ing scenarios for computer vision systems is demonstrated with multiple si
 mulation results based on real-field measurement data. Finally\, an outloo
 k on future developments of the AI-based methodology for creating critical
  scenarios and edge cases using deep reinforcement learning is provided.\n
 \nBiosketch:\n\nPriv.-Doz. Dr.-Ing. habil. Reza Rezaei is Manager for Mode
 ling and Simulation of Intelligent Perception Functions for Autonomous Dri
 ving at IAV GmbH in Germany. In parallel\, he is a guest lecturer at the L
 eibniz University of Hanover and adj. Prof. at the University of Alberta i
 n Canada with focus on Artificial Intelligence and mechatronic systems. He
  has a track record of fundamental research on these topics documented by 
 numerous publications by IEEE and SAE.\n\nSpeaker(s): Dr. Reza Rezaei\, \n
 \nVirtual: https://events.vtools.ieee.org/m/362382
LOCATION:Virtual: https://events.vtools.ieee.org/m/362382
ORGANIZER:daniel.medina@ieee.org
SEQUENCE:29
SUMMARY:ITSS Germany Online DLS - 31 May 2023 - Speaker: Dr. Reza Rezaei
URL;VALUE=URI:https://events.vtools.ieee.org/m/362382
X-ALT-DESC:Description: &lt;br /&gt;&lt;p&gt;&lt;span style=&quot;font-size: 12pt\;&quot;&gt;Join us\, 
 &lt;strong&gt;Wednesday\, 31st of May\, 2023\, at 17:00 PM CET&lt;/strong&gt; for an e
 xciting virtual talk by &lt;strong&gt;Dr. Reza Rezaei &lt;/strong&gt;on the topic &quot;&lt;st
 rong&gt;Virtual Field Development and Testing Methodology for AD/ADAS System&lt;
 /strong&gt;&quot;.&lt;/span&gt;&lt;/p&gt;\n&lt;p&gt;&lt;span style=&quot;font-size: 12pt\;&quot;&gt;This talk is par
 t of the ITSS Distinguished Lecture Series (DLS)\, organized by the &lt;a hre
 f=&quot;https://ieee-itss-germany.org/&quot; target=&quot;_blank&quot; rel=&quot;noopener&quot;&gt;ITSS Ger
 many Chapter&lt;/a&gt; and technically co-sponsored by IAV GmbH.&lt;/span&gt;&lt;/p&gt;\n&lt;p&gt;
 &amp;nbsp\;&lt;/p&gt;\n&lt;p&gt;&lt;span style=&quot;font-size: 12pt\;&quot;&gt;&lt;strong&gt;Topic:&lt;/strong&gt;&amp;nb
 sp\;&lt;/span&gt;&lt;/p&gt;\n&lt;p&gt;&lt;span style=&quot;font-size: 12pt\;&quot;&gt;Virtual Field Developm
 ent and Testing Methodology for AD/ADAS System&lt;/span&gt;&lt;/p&gt;\n&lt;p&gt;&amp;nbsp\;&lt;/p&gt;\
 n&lt;p&gt;&lt;span style=&quot;font-size: 12pt\;&quot;&gt;&lt;strong&gt;Abstract:&amp;nbsp\;&lt;/strong&gt;&lt;/spa
 n&gt;&lt;/p&gt;\n&lt;p&gt;The development of autonomous driving systems requires comprehe
 nsive testing and validation to ensure that the regulatory requirements ar
 e fulfilled\, and the system performs reliably and safely under all operat
 ing conditions.&amp;nbsp\; Innovative virtual field validation methods are bec
 oming increasingly important not only due to the cost reduction in the dev
 elopment but also for covering more operating conditions. It also allows f
 or testing of rare and dangerous scenarios without risking physical harm t
 o the test vehicle\, and traffic participants.&lt;/p&gt;\n&lt;p&gt;The current results
  of virtual field testing and validation methodology of AD/ADAS systems\, 
 with a specific focus on visual perception will be discussed. First\, an o
 verview of the AD/ADAS development process and the use of virtual testing 
 are presented. Then the challenges associated with camera-based perception
  systems and computer vision algorithms under various environmental and li
 ghting conditions\, including camera soling are discussed.&lt;/p&gt;\n&lt;p&gt;The mod
 el-based methodology developed to create adverse and challenging scenarios
  for computer vision systems is demonstrated with multiple simulation resu
 lts based on real-field measurement data. Finally\, an outlook on future d
 evelopments of the AI-based methodology for creating critical scenarios an
 d edge cases using deep reinforcement learning is provided.&lt;/p&gt;\n&lt;p&gt;&amp;nbsp\
 ;&lt;/p&gt;\n&lt;p&gt;&lt;strong&gt;&lt;span style=&quot;font-size: 12pt\;&quot;&gt;Biosketch:&lt;/span&gt;&lt;/stron
 g&gt;&lt;/p&gt;\n&lt;p&gt;Priv.-Doz. Dr.-Ing. habil. &lt;strong&gt;Reza Rezaei&lt;/strong&gt; is Mana
 ger for Modeling and Simulation of Intelligent Perception Functions for Au
 tonomous Driving at IAV GmbH in Germany. In parallel\, he is a guest lectu
 rer at the Leibniz University of Hanover and adj. Prof. at the University 
 of Alberta in Canada with focus on Artificial Intelligence and mechatronic
  systems. He has a track record of fundamental research on these topics do
 cumented by numerous publications by IEEE and SAE.&lt;/p&gt;
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