Visual Intelligent Vehicle Control System’s Design Based on PC9S12XS128 MCU

Yi Lun Han; Zong Bing Zhang; Xue Lei Wen

doi:10.4028/www.scientific.net/AMR.562-564.1571

Paper Titles

Mechanism Analysis of Local Collapse in an Underground Powerhouse Based on Strength Reduction FEM and DEM
p.1553

Profibus-DP Used in KDF4 Filter Rod Maker
p.1558

Reliability Method of Cyber-Physical Systems Based on Events Polling and Interrupt Control
p.1562

The Research and Application of Leveler Knowledge Base System
p.1567

Visual Intelligent Vehicle Control System’s Design Based on PC9S12XS128 MCU
p.1571

Evolutionary Structural Shape Optimization Based on Adaptive FEM and Boundary Representation of B-Spline
p.1575

An Improvement on Randomly Changed Identification Protocol for Low-Cost Tags
p.1583

Principle and Realization of 2D Maps on Virtools in Roaming System
p.1590

Fluidized Bed Temperature Control System Based on Virtual Instrument Technology and Fuzzy PID Algorithm
p.1594

HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 562-564Visual Intelligent Vehicle Control System’s Design...

Visual Intelligent Vehicle Control System’s Design Based on PC9S12XS128 MCU

Abstract:

In this paper, PC9S12XS128 MCU produced by Freescale Semiconductor Co., Ltd is used as the core control unit to designed a intelligent vehicle, which can be free to follow the line of travel. The main control system including motor drive module, server drive module, the path identification module, power module, etc..Through compare a variety of hardware control program, use the best program to take control of car model’s speed and direction. Experimental results show that the intelligent vehicle designed can antomatic driving on the path of human plan accuracy.

You might also be interested in these eBooks

Materials Engineering and Automatic Control

View Preview

Info:

Periodical:

Advanced Materials Research (Volumes 562-564)

Pages:

1571-1574

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.562-564.1571

Citation:

Cite this paper

Online since:

August 2012

Authors:

Yi Lun Han, Zong Bing Zhang, Xue Lei Wen

Keywords:

Camera, Control System, Intelligent Vehicle

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] HCS12 V1. 5 Serial Communications Interface(SCI)Block Guide V02. 05 S12S12CIV2/D Motorola Inc.

Google Scholar

[2] Masanori Sato, Kazuo. Ishii. A neural network based controller for a wheel type mobile robot[C]. International Congress Series 1291(2006): 234~251.

DOI: 10.1016/j.ics.2006.01.056

Google Scholar

[3] Rongben Wang, Youchun Xu, Libin. A visio-based road edge detection algorithm[C]. Intelligent Vehicle Symposium, IEEE, 2002, (1): 120~135.

DOI: 10.1109/ivs.2002.1187942

Google Scholar

[4] Dickmanns E D. Exportation-Based Multi Focal Vision for Vehicle Guidance[C]. Proc of Signal Processing Conference, 1995, 1020~1120.

Google Scholar