1 research outputs found
How to assist merging onto the freeway
The paper examines an approach for the
development of Advanced Driver Assistance Systems (ADAS).
The basic idea of this approach is to compare the actual driving
behavior with a pre-defined target performance to detect
deviations which are regarded as driving errors. This error
detection can be used by ADAS to initiate countermeasures and
thus avoid critical traffic situations. The experiment described
in this paper examines this approach with the driving task to
merge onto a freeway. The target behavior was defined from
expert interviews of driving instructors. The actual behavior
was measured with the DLR ViewCar® in test drives. The
analyses show that the comparison of actual and target
behavior results in different error classes corresponding to
critical situations. From the description of the errors
requirements for different ADAS functions can be derived to
counteract these errors. Overall, at least for the driving task
examined this approach is useful for detecting errors but not
predicting them. However, this may be sufficient in many cases
to avoid accidents