Kay Fuerstenberg

Sensor Fusion for Multiple Automotive Active Safety and Comfort Applications

In established driver assistance systems each application relies on its own sensor, which observes the vehicles environment. Advanced driver assistance systems (ADAS) have increasing demand for several sensor systems. The described laserscanner and video based sensor fusion approach serves as a general platform for multiple active safety and comfort applications. By fusing these sensors, a large field of view is obtained and the certainty and precision of the estimates in the relevant regions is increased significantly. Robust vehicle position measurements and classification, lane estimation as well as pedestrian recognition enable a broad support for applications such as lane departure warning, automatic emergency breaking, automatic cruise control for traffic jam situations (ACC Stop&Go), PreCrash, pedestrian protection and low speed following.

Laserscanner Innovations for Detection of Obstacles and Road

This paper presents innovations for detection of obstacles and road using a Multilayer Laserscanner. The classification of pedestrians and other road users require robust object tracking algorithms. Their reliability strongly depends on a precise ego-motion compensation. A new method of ego-motion estimation based on relative velocities of tracked objects will be introduced. This method operates especially under undefined driving conditions, such as skidding of the ego vehicle, where algorithms based on the vehicle’s INS data fail.