Why and How to Validate Simulations for Testing Automated Driving Systems

  • 自动驾驶
  • 仿真建模

53:37min

概述

Simulation plays a crucial role for safety argumentation and is becoming increasingly important to deal with the enormous complexity – a complex system in a complex environment.

Validating automated driving systems (ADS) and certain safety measures by simulation means that it must be proven that the results of the simulation are reliable and trustworthy. Similar to the development of ADS, the models for them must also be developed, verified and validated. The procedures and processes for models and ADS are very similar, e.g. unit, integration, system and acceptance tests, from component level to system level.
 
Key Topics and Takeaways:

  • Understand the process of validating models and simulations
  • Learn how to validate simulations & models
  • Question measurements and simulations in order to compare them appropriately

主讲

Christopher Wiegand

Christopher Wiegand

Product Manager – Automated Driving & Software Solutions dSPACE GmbH

通过 dSPACE时事通讯服务了解最新信息。

通过 dSPACE 时事通讯服务,我们将随时向您通报当前的使用案例、新解决方案和产品以及培训和活动。在此注册,免费订阅。

Enable form call

At this point, an input form from Click Dimensions is integrated. This enables us to process your newsletter subscription. The form is currently hidden due to your privacy settings for our website.

External input form

By activating the input form, you consent to personal data being transmitted to Click Dimensions within the EU, in the USA, Canada or Australia. More on this in our privacy policy.