**4. Summary and conclusions**

This chapter described a pedestrian classification algorithm for automotive applications using an automotive 24 GHz radar sensor with a bandwidth of 150 MHz as a measuring device. Three different systems for pedestrian recognition have been considered. The first system was based on a single radar measurement. The second system extracted a feature set on the basis of multiple radar measurements. Finally a tracking procedure was adapted to extract an additional feature set. The results show an increasing performance in the classification accuracy by using single-, multiple- and tracker feedback features. It is also pointed out that is not necessary to equip radar sensors with large bandwidths in order to classify pedestrians in urban areas.
