Advanced Driver Assistance Systems (ADAS), with such uses as detecting pedestrians or visualizing the safe distance to the vehicle in front, are developed and researched in the automotive industry. Here, different sensors (GPS, ADAS camera, gyro, CAN data, etc.) are merged and evaluated.

In this context, Fraunhofer IGD develops algorithms based on computer vision and machine learning by means of which it is possible to capture the vehicle’s environment in order to detect cyclists or other traffic obstructions.

The procedures are ported to the reduced computer platforms built into the automobile and optimized for real-time applications there.

• AR-HUD calibration
• Capacitive distance sensors for HMI functions in vehicles