Abstract

This paper introduces the perpendicular parking algorithm of car-like robots, such that the generated path consists of a cusp. This path planning is based on the car’s turning radii, which can be determined by the car’s geometry and its maximum steering angle. As far as we know, this paper is novel in developing autonomous perpendicular parking based on circular arc and straight line segments, such that a cusp on the generated path is allowed. Since a cusp is allowed, the proposed parking approach is suitable for parking in a small space. The simulation results show the validity of the proposed approach.

Highlights

  • Even for experienced drivers, parking can be a difficult task, especially in the case where parking spots are very narrow

  • This paper introduces the perpendicular parking algorithm of car-like robots, such that the generated path consists of a cusp

  • As far as we know, this paper is novel in developing autonomous perpendicular parking based on circular arc and straight line segments, such that a cusp on the generated path is allowed

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Summary

INTRODUCTION

Even for experienced drivers, parking can be a difficult task, especially in the case where parking spots are very narrow. [3], [18], [20] cannot generate a path with a cusp, which may restrict the car’s motion in a small parking space. This paper introduces the perpendicular parking algorithm of car-like robots, such that the generated path consists of a cusp. Inspired by [21], our approach uses a word to generate a path consist of arcs and straight line segments. We generate a path with multiple motion segments This path planning is based on the car’s minimum turning radii, which can be determined by the car’s geometry and its maximum steering angle. As far as we know, this paper is novel in developing autonomous perpendicular parking based on circular arc and straight line segments, such that a cusp on the generated path is allowed.

DEFINITIONS AND ASSUMPTIONS
SPEED AND STEERING CONTROLS TO FOLLOW THE GENERATED PATH
MATLAB SIMULATIONS
CONCLUSIONS

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