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DESCRIPTION:Versatile, reliable, and affordable LiDAR technology supports road safety and comfort\n \nHigh-fidelity sensor simulation is required to develop and test autonomous vehicles thoroughly. Measurement data from physical sensors must be compared against simulated data to validate physics-based sensor models using a three-step approach.\n \nThe first step is to perform precise tests under highly controlled conditions. This step aims to understand and ensure control of any variable that has an impact on sensor behavior.\nThe second step is to perform tests in a semi-controlled environment, such as a public road. The results from this step will ensure confidence that the physics-based LiDAR simulation is accurate enough to be used under normal driving conditions.\nThe third and final step is to perform tests in an uncontrolled environment to obtain the final performance assessment under normal driving conditions.\n \nThe importance of highly accurate sensor simulation models\nThis webinar will highlight the leading simulation platform for testing and developing autonomous vehicle functionality, Simcenter Prescan. Additionally, this webinar will discuss our approach to verification and validation of automotive sensor simulation, as well as:\n \n- How to ensure the quality and correctness of high-fidelity sensor models\n- How to manage the verification during the development of the simulation\n- How to implement the ISO26262 certification of the software\n- How to efficiently deploy the verification and validation of the simulation through dedicated projects\n \nPonentes:\n \nBart Heijke:Product Manager Software and Services, Siemens Digital Industries Software\n \n
DTSTART:20211216T110000
DTEND:20211216T120000
DTSTAMP:20260418T205219Z
LOCATION:Online
PRIORITY:5
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SUMMARY;LANGUAGE=es-es:Tecnowebinars.com - :: Validation and verification of physics-based sensor simulation
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