White paper

Testing and verifying ADAS and autonomous driving performance

In the nearby future, testing advanced driver assistance systems (ADAS) solely on a proving ground is no longer sufficient. With the increasing level of automation, the number of scenarios vehicles need to react to in a safe and repeatable manner is rapidly growing. Virtual validation and verification is about to become common practice for all original equipment manufacturers (OEMs) that are integrating systems like autonomous emergency braking, lane keeping assist, speed and parking assists. However, virtual results can only be trustworthy if they are confirmed by physical testing. Having consistency in test scenarios, the virtual representation of the environment, the car and sensors is the key to successfully validating and verifying automated driving functions.

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In the nearby future, testing advanced driver assistance systems (ADAS) solely on a proving ground is no longer sufficient. With the increasing level of automation, the number of scenarios vehicles need to react to in a safe and repeatable manner is rapidly growing. Virtual validation and verification is about to become common practice for all original equipment manufacturers (OEMs) that are integrating systems like autonomous emergency braking, lane keeping assist, speed and parking assists. However, virtual results can only be trustworthy if they are confirmed by physical testing. Having consistency in test scenarios, the virtual representation of the environment, the car and sensors is the key to successfully validating and verifying automated driving functions.

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