Dissertation > Excellent graduate degree dissertation topics show

Research and Design of Bionic Imaging Platform Based on Two-axis Linear Drive

Author: JinZuo
Tutor: YuWenYong；AiWu
School: Huazhong University of Science and Technology
Course: Mechanical and Electronic Engineering
Keywords: visual platform pattern recognition automatic tracing kalman filter linear drive
CLC: TP391.41
Type: Master's thesis
Year: 2011
Downloads: 29
Quote: 1
Read: Download Dissertation

Abstract


This paper intends to present a stable imaging platform for the visual system of autonomous robot, aiming at improving the non-optimal quality of image which is caused by tremor, vibration, slope alteration as well as rapid movement of the target during the moving process in intricate circumstances. According to the mechanism of human optical system, a bionic imaging platform driven by multi-axis linear motors is given, in which the function of swift tracing is integrated.This paper gives both the general design and the construction of the visual platform at the beginning, and then it expands to describe three important processing stages in details including data input stage(pattern recognition and target tracking),intermediate stage(attitude adjustment strategy) as well as motion output stage(motion control of linear motor).During the phase of pattern recognition and target tracking, some preprocessing methods are used to achieve high-quality images, and then the characters of target can be extracted from those images by image sharpening, image segmentation and edge tracing. After the procedures mentioned above, we utilize kalman filter to predict and trace target and furthermore verify the validity of these processes in matlab.According to the result of recognition and prediction, the target positions can be transferred as inputs to the attitude adjustment strategy, generating the relations between target position and motor displacement by kinematics models of the platform. And finally, this paper analyzes the motion control process of linear motors and completes the simulation of velocity loop and position loop.Moreover, we set up some interference to verify the performance of this visual platform. From the simulation, it is obvious to see that a good tracking effect and capacities of anti-interference can be available due to the high response of linear motor.This research also contributes fundamental approaches to the framework designs of the visual system of autonomous robot.

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. The Classification of High Dimsnsion Flew Field Based on Manifold Learning,V231.3
  5. Maneuver Detection and Tracking with the Radar Rate Measurement,TN953
  6. Research on Text Classification Based on Biomimetic Pattern Recongnition,TP391.1
  7. Research on Visual Detection and Tracking of Mobile Robots,TP242.62
  8. Design of Gyro Stabilized Pod Control System,TP273
  9. Research on Identification System of Cashmere and Wool Fiber,TS101.921
  10. Intrusion detection based on the ultrasonic echo envelope in the military security patrols,E919
  11. Time Delay Estimation in Distributed Optical Fiber Sensing and Positioning System,TN95
  12. Research and Application on Detection and Tracking of Object Based on Video Stream,TP391.41
  13. Design Control Algorithm of A Dynamic Positioning System for the Large Trailing Suction Hopper Dredger,U674.31
  14. Vehicle Detection and Tracking under Occlusion,TP391.41
  15. SAW gas sensor array pattern recognition technology research,TP212
  16. Two Wheel Electric Bicycle Self-balance Control Algorithm Research,TP273
  17. Research on Key Technologies of Turning Expert System Based on SE300,TP182
  18. Improved Mathematical Model of Spatial Information Processing Based on Fuzzy Technology,O159
  19. Asynchronous multi-sensor information fusion estimation sample,O211.6
  20. The Research of Kalman Filter Based on Neural Network,TN911.7
  21. Classifier Design and Weight Optimization Methods Based on Multiple Views,TP18

CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Information processing (information processing) > Pattern Recognition and devices > Image recognition device
© 2012 www.DissertationTopic.Net  Mobile