As part of the mFund project Scooterfusion, various data were collected in order to develop an adaptive feedback system for EKFs. With the help of this data and the received radar data, the current volume of traffic, possible collisions with other road users and obstacles can be recognized. The driver of the EKF is then warned. As part of the acceptance study, data was collected from subjects who completed a specific course with various obstacles. The following data was recorded: • Time • Heading angle (indicates the orientation of the vehicle relative to north in degrees.) • GPS data of the vehicle • ID (0 for feedback system on, 1 for feedback system off) • Speed of the vehicle in km/ h The study is a quantitative study and the data are measurement data that will contribute to the analysis of the system behavior and the acceptability of the subjects.
