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Test Solutions for Simulink Models & Production Code

Virtual Validation for ADAS/AD

How can I create the needed millions of scenarios?

How can I avoid the test explosion problem?

How can I find out if my tests are passed or failed?

Products

Test Solutions for Simulink Models & Production Code

Virtual Validation for ADAS/AD

How can I create the needed millions of scenarios?

How can I avoid the test explosion problem?

How can I find out if my tests are passed or failed?

Conference

29. SafeTRANS Industrial Day

Date: December 13th, 2021

Location: Online

BTC Embedded Systems and dSPACE are present at the 24th SafeTRANS Industrial Day and will give a joint talk about the challenges for the validation and homologation of autonomous vehicles.

Please find the full agenda here.

10 Challenges for Validation and Homologation of Autonomous Vehicle

Janek Jochheim (dSPACE GmbH)

Markus Gros (BTC Embedded Systems AG)

A major trend in the automotive industry is the increase of automated driving functions starting advanced driving assisting systems (ADAS), that significantly increase the safety and comfort of the driving experience and ranging until autonomous driving (AD) functions that partially or fully control the vehicle creating the base for completely new mobility concepts.

A major unsolved challenge for the development of such systems is validation of the driving function against the required safety goals. This is a crucial step to release the vehicle on the road, independently of whether the certification is done via homologation (like in Europe, Japan or China) or via self-certification by the manufacturer (like in US). Due to the complexity of the modern traffic ecosystem, it is assumed that billions of kilometers must be validated before an ADAS/AD system can be considered as safe as a skilled human driver.

In this talk, dSPACE and BTC Embedded Systems will present 10 challenges for the efficient validation and homologation of autonomous vehicles and how the collaboration between the two companies is addressing them. Topics include the realistic virtualization of the real world, data management, scalability for simulation, scenario creation, automatic scenario generation as well as metrics which finally allow us to measure completeness of the overall validation process.

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