Technical Paper
A Fusion Architecture for Object Detection using Replaceable Sensors
2009-04-20
2009-01-0164
After the implementation of passive safety systems (e.g. airbags, seat belt pretensioners) and their parallel continuous improvement, active safety systems were launched in a great number of cars. Some of these active safety systems are based on environment recognition to detect critical situations or imminent crashes. These systems give warnings to the driver and can provide assistance (e.g. by setting the proper brake power). One key requirement for such systems is robust and reliable knowledge of the car environment. Today, the underlying environment recognition very often uses the data of single sensors. Due to increasing requirements in robustness, operating range (field of view, foresight, level of intervention) and number of different applications running in parallel, the fusion of data from different sensors may be necessary. This paper describes a fusion architecture which provides a base for safety and non-safety applications.