One of the key stages on the path to validating ADAS (Advanced Driver Assisted Systems) and AD (Autonomous Driving) vehicles is the independent and objective evaluation of the sensor system against a reliable representation of the reality – this is known as ground truth.
An accurate representation of the real world lets you measure the accuracy of the vehicle’s perception systems and therefore engineer the vehicle's safety.
Why Real-World Testing Is Crucial
Even though virtual development methods for testing of automated driving functions are becoming more advanced, testing under real-world conditions on public roads will remain an important pillar of the test strategy.
Once vehicles with AD functions with Level 3 and above are planned for release to end-customers, the certification of these vehicles must be considered.
As a result, certification tests must be carried out on public roads (such as for emission tests e.g., RDE) which, on the other hand, requires objective evaluation methods.