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