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Active safety systems will have a great impact in the next generation of vehicles. This is partly originated by the increasing consumer's interest for safety and partly by new traffic safety laws. Control actions in the vehicle are based on an extensive environment model which contains information about relevant objects in vehicle surroundings. Sensor data fusion integrates measurements from different surround sensors into this environment model. In order to avoid system malfunctions, high reliability in the interpretation of the situation, and therefore in the environment model, is essential. Hence, the main idea of data fusion is to make use of the advantages of using multiple sensors and different technologies in order to fulfill these requirements, which are especially high due to autonomous interventions in vehicle dynamics (e. g. automatic emergency braking).

One of the most important aims of the automotive industry is to provide the best possible protection for drivers, passengers and pedestrians. Through their CAPS (Combined Active and Passive Safety) program (see Figure 1), Bosch is developing new functions which help to achieve these goals and contribute to accident mitigation and/or reduction of accident severity. By linking existing active and passive automobile safety systems and extending these by adding systems for monitoring and evaluating the vehicle's environment, the foundation for new safety functions is created. The growing number of airbags in vehicles provides more and better protection against injury for the occupants. In addition, active safety systems such as the ESP® Electronic Stability Program help to prevent an accident occurring in the first place. If these systems are linked together, they can share information and provide even better safety for drivers and passengers through new functions.

Surround sensing methods provide information which can be used in PRECRASH functionalities for advanced control of the passenger protection system. The relevant data (closing velocity (cv), time to impact (tti), and offset of contact point (Δy)) are determined with a Predictive Safety System and transmitted to the airbag control unit for further processing in the PRECRASH algorithm. The PRECRASH algorithm controls both, the activation of reversible restraints and the deployment of irreversible restraints. Therefore it consists of two components: The PREFIRE and the PRESET algorithm. The PREFIRE algorithm uses the PRECRASH information for the activation of the reversible belt pretensioner in advance of a crash to reduce chest load in the crash phase. The PRESET algorithm calculates the trigger decision for deployment of pyrotechnical restraints. Inputs of the PRESET algorithm are the PRECRASH information as well as the acceleration signal.