Case Study
Ansys is committed to setting today's students up for success, by providing free simulation engineering software to students.
Ansys is committed to setting today's students up for success, by providing free simulation engineering software to students.
Ansys is committed to setting today's students up for success, by providing free simulation engineering software to students.
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Case Study
“Our camera sensor technology is critical to the work we are doing in supporting autonomous function for our customers. Using Ansys AVxcelerate Sensors during ADAS/AD testing and validation, we were able to confidently test real-life scenarios that were previously off-limits to us with simulation, with complete confidence in the accuracy of our results. Even though the work to develop a well-rounded solution is still ongoing, the collaboration between Ansys AVxcelerate Sensors and Continental camera sensor solutions is already delivering promising results.”
— Dr. Martin Punke Head of Camera Product Technology / Continental
To achieve the high level of accuracy advanced driver assistance systems/ autonomous driving (ADAS/AD) technology requires, Continental must specifically target its camera sensors for simulation. Currently Continental engineers do real-world driving on test tracks or roads to train, test, and validate ADAS or AD systems. They also do component-level testing and simulation; however, there are only limited engineering simulation solutions available to tackle this problem. Even though the effort to develop a well-rounded solution is ongoing, the collaboration between Ansys AVxcelerate Sensors and Continental camera sensor solutions is delivering promising results.
Continental’s existing ADAS/AD testing and validation requirements considered functions that could not be tested in real life, including corner cases and other dangerous scenarios. Yet this activity was essential to understanding critical details about specific ADAS features, as well as problematic use cases that are integral to the development and validation of new sensors and computer vision algorithms. Addressing these challenges required customer support and fine-tuning physically realistic camera sensor models.
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