Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
skip to main content
10.1145/2071639.2071661acmotherconferencesArticle/Chapter ViewAbstractPublication PagesicccConference Proceedingsconference-collections
research-article

The smart car based on laser control

Published: 13 August 2011 Publication History
  • Get Citation Alerts
  • Abstract

    In this essay, we mainly discuss the philosophy and designing experience of self-directed smart car model based on the chip XS128 produced by Freecale company. The smart car system, with the Fresscale 16-bitsingle-chip MC9S12XS128 as its control microprocessor, uses signal acquisition module to obtain lane image information, and adopts signal PID control strategy together with PWM technology to have a control on the steering angle and speed of the system. The main function that the intelligent car may achieve is that the car should track the black-guide- line automatically and move forward following the line as fast and stable as possible. This thesis includes hardware design and algorithm control mainly. The hardware design is consisted of four parts which are power supply module, motor drive module, servo motor module, laser sensor module and the chip MC9S12XS128 schematic. The servo subsystem formed by servo motor which is used to control the direction of laser sensor, the driver subsystem formed by DC-motor and the mechanism of gears, the directing subsystem formed by the other servo motor and the mechanism of connecting bar, the speed detecting subsystem and the circuit subsystem finally form the whole vehicle model. The algorithm control is used by PID theory. Finally, on the smart car's overall debugging and testing, the results show the smart car hardware system stability, better meet the requirements of control.

    References

    [1]
    Freescale Semiconductor, Inc. MC9S12XS128 Device User Guide.
    [2]
    http://www.freescale.com
    [3]
    CodeWarrior#8482; Development Studio 8/16-Bit IDE User's Guide
    [4]
    Rapid prototype and smart car design by the CUHK
    [5]
    A probe car for parking-vehicle detection by using laser range sensor. Intelligent Vehicle Symposium, 2002. IEEE

    Recommendations

    Comments

    Information & Contributors

    Information

    Published In

    cover image ACM Other conferences
    ICCC '11: Proceedings of the 2011 International Conference on Innovative Computing and Cloud Computing
    August 2011
    131 pages
    ISBN:9781450305679
    DOI:10.1145/2071639
    • General Chairs:
    • Honghua Tan,
    • Jun Zhang,
    • Program Chairs:
    • Dehuai Yang,
    • Yanwen Wu
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

    Sponsors

    • ACM Wuhan Chapter: ACM Wuhan Chapter
    • Wuhan Univ.: Wuhan University, China

    Publisher

    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 13 August 2011

    Permissions

    Request permissions for this article.

    Check for updates

    Author Tags

    1. MC9S12XS128
    2. freescale
    3. laser sensor
    4. self-directed
    5. smart car

    Qualifiers

    • Research-article

    Funding Sources

    • Laboratory & Equipment Administration opening fund of Shenzhen University
    • National Science Foundation of Guangdong Province

    Conference

    ICCC '11
    Sponsor:
    • ACM Wuhan Chapter
    • Wuhan Univ.

    Contributors

    Other Metrics

    Bibliometrics & Citations

    Bibliometrics

    Article Metrics

    • 0
      Total Citations
    • 199
      Total Downloads
    • Downloads (Last 12 months)4
    • Downloads (Last 6 weeks)0
    Reflects downloads up to 10 Aug 2024

    Other Metrics

    Citations

    View Options

    Get Access

    Login options

    View options

    PDF

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader

    Media

    Figures

    Other

    Tables

    Share

    Share

    Share this Publication link

    Share on social media