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 communications.
The test scenario was to detect and classify a stationary compact car from a distance of 4 meters.
The data used for classification were 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 by means of a Raspberry Pi.
The data shall contain the following information:
Timestamp: Time stamp in UNIX-Time
Lat: Latitude
Long: Longitude
Size: Calculated size of the projected object in size/0.01 m2
Class: Result of classification

mFUND project: ScooterFusion, FKZ: 19F2118A