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 assist.

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.

A validation and verification framework for ADAS and autonomous driving

In order to efficiently answer the new need for virtual validation data, it is important to rethink the entire vehicle development process.

Transitioning toward a modelbased system engineering (MBSE) ensures the creation of digital twins for all relevant elements of the vehicle.

Simcenter Amesim software is the environment most commonly used for creating vehicle models capable of exchanging component or system models of different fidelity levels, optimizing accuracy and processing time.

Simcenter Prescan representations contain the reflective properties for physics-based radar, camera, lidar and ultrasonic sensors. The sensor models can therefore also be scaled from basic ground truth information up to full wave propagation modeling for detailed sensor evaluations. Continue reading

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