Parking guidance system for front wheel steering vehicles using trajectory generation

This paper first addresses the issues related to the parking trajectory generation problem of front wheel steering vehicles. Then, taking both the implicit vehicle dynamic control restricts and explicit obstacle avoidance requirements into consideration, the mapping and inverse mapping relationship between the sequence of the control action and the result parking trajectory is carefully analyzed and approximately modeled using wavelet transformation and RBF neural networks. Finally, a guidance system is constructed to help the driver to complete the parking process.

I. Introduction

Parking problem often bothers those beginning drivers since they easily get confused when switching from driving forwards to driving backwards. The same problem also puzzles those mature drivers who are lacking of sense of position and distance especially in narrow spaces. Nevertheless, the dime light and the improper installation of the reflector could also lead the drivers to draw wrong decision and cause collision accidences, Therefore certain parking guidance system is expected to be constructed to help those drivers to get out of this labyrinth.