In this paper two different methods for fusing data from optical and active radar sensors are studied. The first method fuses data prior to feature extraction and the second method fuses data, in a more traditional way, after feature extraction. The advantage of
fusing before feature extraction is that no information is lost prior to the fusion. The sensor data share one common dimension, namely azimuth, but the radar suffers from lower resolution. The algorithms are tested on real measurements from Ku- and millimeter wave radar combined with infrared or TV-camera. The study is in its initial phase and the two methods studied are simple in nature. The study aims to reveal differences between a raw data method and a feature-based method and should later result in a more complex and robust method.