Vehicle Automatic Vertical & Horizontal Parking Trajectory Prediction and Fuzzy Control

DOI

10.2991/mecae-17.2017.12How to use a DOI?

Keywords

Vertical Parking, Horizontal Parking, Trajectory Prediction, Fuzzy.

Abstract

Automatic parking system is a non-accurate modeling system, and the fuzzy algorithm is an excellent choice for the non-accurate modeling. Based on the vehicle kinematics modeling and the experience of artificial parking, we establish the horizontal and vertical models of the vehicle automatic trajectory and the control system through fuzzy inference. By fuzzy controller, parking optimal trajectory can control the speed of the vehicle when reversing garage, and at the same time, the fuzzy controller can control the vehicle body posture reverse garage. These two controls work closely together to achieve accurate body trajectory. The accuracy of the controller is verified by the simulation experiment.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Jinqing Li
AU  - Jindong Zhang
AU  - Weikai Wang
AU  - Chengliang Liu
AU  - Hongyan Guo
AU  - Kuo Zhang
PY  - 2017/03
DA  - 2017/03
TI  - Vehicle Automatic Vertical & Horizontal Parking Trajectory Prediction and Fuzzy Control
BT  - Proceedings of the 2017 International Conference on Mechanical, Electronic, Control and Automation Engineering (MECAE 2017)
PB  - Atlantis Press
SP  - 66
EP  - 71
SN  - 2352-5401
UR  - https://doi.org/10.2991/mecae-17.2017.12
DO  - 10.2991/mecae-17.2017.12
ID  - Li2017/03
ER  -