Dissertation > Excellent graduate degree dissertation topics show

Design and Research of On-Board Data Acquisition System for ITS Based on Virtual Instrument Technology

Author: ChenShaoShan
Tutor: CaoJie
School: Lanzhou University of Technology
Course: Control Theory and Control Engineering
Keywords: Intelligent Transportation System Virtual Instrument Vehicle Information Acquisition System Global Position System Inertial measure unit LabView Kalman filter Date fusion
CLC: U495
Type: Master's thesis
Year: 2006
Downloads: 270
Quote: 0
Read: Download Dissertation

Abstract


Real - time traffic information Acquisition is the key to urban intelligentized transportation, and has wide applications in transportation planning and transportation manage control utilities., Based on Virtual Instrument technology, This paper is aimed at design of on-board data acquisition system which can acquire position ,velocity, acceleration and pose angle for ITS. Many aspects are concerned in Vehicle Information Acquisition System. This paper only studies positioning, data collection of Vehicle Information acquisition system.This paper describes the structures and functions of the vehicle device component and discusses the realization of concrete hardware and software in detail. In data acquisition aspect, the data of GPS are inputted computer by RS232 serial interface, the acquisition data of inertial measure unit are inputted computer by (SCXI) Signal Conditioning extensions for Instruments, these data are processed by computer then positioning information, velocity, acceleration and pose angle state detection are acquired. In positioning aspect, the embedded vehicle positioning system is designed by combination GPS receiver/inertial measure unit for improving precision of position. Inertial measure unit (IMU) are one of the most widely can provide continuous position, velocity and also orientation estimates which are accurate for a short term, but are subject to drift due to sensor drifts. The result of GPS and IMU which are integrated by Kalman filter can limit shortcomings of the individual systems namely, the typically low rate of GPS measurements as well as the long term drift characteristics of IMU. Integration can also combine the advantages of the two systems based on, such as, the uniform high accuracy trajectory information of GPS and the short term stability of IMU.At last this paper processes the experiment results and gives the conclusion and prospects.

Related Dissertations

  1. Algorithm Research on SINS/GPS Integrated Navigation Syste,V249.328
  2. Satellite Attitude Determination Based on Gyro and Star Sensor,V448.2
  3. Research on Transfer Alignment of the Missile Onboard the Aircraft,V249.322
  4. Maneuver Detection and Tracking with the Radar Rate Measurement,TN953
  5. Research on Visual Detection and Tracking of Mobile Robots,TP242.62
  6. Design of Gyro Stabilized Pod Control System,TP273
  7. Research on Key Techniques of Indoor Wireless Sensor Network Tracking,TN929.5
  8. Theoretical Research and Algorithm Implementation of GPS Single-Frequency Precise Point Positioning,P228.4
  9. The Application Research on Estimation of Lithium-ion Battery SOC,TM912
  10. The Localization and Mapping for Underwater Vehicles Based on Inertial Measurement Units and Sonar,TP242
  11. Uncertain System State Estimation and Its Application to Adhesion Control,U260.14
  12. Application of Object Tracking Based on Mean Shift Algorithm in Security Protection System,TP277
  13. Autonomous Mobile Robot Localization and Navigation in Unknown Environment,TP242
  14. Based on Improved Particle Filter for Mobile Robot Localization,TP242
  15. Research on Freeway Automatic Incident Detection System Based on Video and Microwave Technologies Fusion,TP391.41
  16. Moving target detection and tracking in video surveillance system technology,TP391.41
  17. Driver Fatigue Detection Based on Video Image Processing,TP391.41
  18. Research on Visual Location and Target Tracking of Wheeled Mobile Robot,TP242
  19. High - temperature detection algorithm based on digital image processing improvements,TP274.4
  20. Research on Visual Navigation Algorithm for Lunar Rover Based on Extended Kalman Filter,V448.2

CLC: > Transportation > Road transport > Technical management of traffic engineering and road transport > Computer applications in road transport and highway projects
© 2012 www.DissertationTopic.Net  Mobile