Static radar-based data sets for object classification for EKFs

As part of the Scooterfusion project, stationary data were collected for a preliminary evaluation of the system. The data was transmitted via the developed communication chain between client and server via mobile phone. The test scenario consisted of recording and classifying a standing car of the compact class from a distance of 4 meters. The data used for classification was measured and recorded using the developed MIMO radar system. The status of the classification software with which the test was performed is V0.1. The classification is done on the client using a Raspberry Pi. The data contain the following information: Timestamp: Timestamp in UNIX-Time Lat: Latitude Long: Longitude Size: Calculated size of projected object in size/0.01 m² Class: Result of classification