| With the scientific and technological progress and industrial upgrading needs,Intelligent AGV (Automated Guided Vehicle, AGV) applications increasingly becomeflexible automated production equipment and storage upgrades preferred solution,Intelligent AGV has a high degree of automation, flexibility, safety and reliability.This paper studies the development of vision-based navigation content isintelligent AGV, AGV develop visual navigation is currently a hot research field. Thevisual navigation of AGV includes intelligent traffic detection and path informationextraction, the detection of the road as an intelligent AGV the visual sensor of the"eyes" for the detection of road, the path information extraction means with apredetermined AGV by extracting a wire laid in the ground deviation angle anddistance effective access. In this paper, the results of previous research and technology,based on the path detection algorithm is proposed to improve the TMS320DM642YUV image segmentation based on a microprocessor path information extractionalgorithm, the introduction of the concept of navigation information line at navigationinformation online flag is set, the calibration of the work sites, such as accelerationand deceleration point position and optimize the use of AGV-wheel motor drive unit.Road test for the bottom front of the body design of the visual sensor mountingbracket, you can adjust the detection range of vision sensors for intelligent AGVautomatic on-line, through the obstacle detection and traffic detection and otherfunctions, while incorporating ultrasonic obstacle detection module and tested, theresults show that with good control characteristics, in line with the industrial fieldapplication requirements.This study is based on the actual commission of the Project Enterprise, putforward some new ideas and methods for the implementation of the project inparticular, and to validate and improve for the future AGV intelligent, efficient tomake some boost. |
PDF Full Text Request