A preventive safety application is presented in principle, which autonomously brakes in case of an inevitable accident in order to reduce the consequences of a collision. For an effective mitigation of collisions with preceding vehicles and vulnerable road users an efficient system for the perception of the environment combined with reliable decision measures for the activation of the actuator is required. Therefore, the potential of a sensor data fusion approach is examined since current off-the-shelf single sensor systems are far from the generation of a robust and accurate description of the area in front of the vehicle. Based on this environment description, a novel situation analysis algorithm evaluates the probability of a crash by computing the trajectories of the host vehicle and the obstacles. In case of an inevitable collision the concept application autonomously triggers the brakes in order to reduce the impact of the crash.     «

A preventive safety application is presented in principle, which autonomously brakes in case of an inevitable accident in order to reduce the consequences of a collision. For an effective mitigation of collisions with preceding vehicles and vulnerable road users an efficient system for the perception of the environment combined with reliable decision measures for the activation of the actuator is required. Therefore, the potential of a sensor data fusion approach is examined since current off-th...     »