Parallel parking, in general, is a moderate difficulty maneuver. Moreover, for inexperienced
drivers, it can be a stressful situation that can lead to errors such as stay far from
the sidewalk or damage another vehicle resulting in traffic tickets that range from simple
parking violation to crash-related violations.
In this work, we propose a computationally effective approach to perform a collisionfree
parallel parking. The method will calculate the minimum parking space needed and
then the efficient path for the parallel parking. This method is computationally inexpensive
in comparison with the current state of the art. Moreover, it could be used by any car because
the parameters needed to perform all computations are taken from the specifications of real
cars. Preliminary results of this work were summarized in [1] that was presented at the 15th
International IEEE Conference on Intelligent Transportation Systems.
The simulation and experimental data show the effectiveness of the method. This effectiveness
is specified when the path followed by the driver and the path calculated with the
method are compared. The image capture of the vehicle is used to get the path made by
the driver for the parallel parking. Furthermore, road surface marks were determined (in a
parking lot) as a visual aid for the drivers in order to perform the parallel parking maneuver.
After analyzing the paths, it is noted that the vehicles that properly followed the marks,
parked correctly.Tesi
