Design And Implementation Of The Vision And Measurement System For The Large Platform

The large ultra-flat support platform is the important infrastructure of the physical simulation experiment under the micro gravity. When using the artificial method to adjusting the level of the platform, not only costly, but also the time-consuming and inefficient. Therefore, we need an automated detection device that can be used for regulatory platform. It can be able to move to the target platform based on the needs. According to this, Pattern Recognition Research Centre designed the intelligent vehicle system for platform detection, by carrying automatic measuring instruments, the vehicle can design their trajectory and the measured position. When the vehicle in motion, it can use the visual system to navigation and location, that can make its trajectory smooth and measured position docked. After the motion, vehicle use the measurement system to achieve real-time measured data.The content of this paper is to detect the vision and measure part of the vehicle system. The article first introduces the origin of its issue and its implications for the regulation of ultra-flat platform. Then it elaborated the current research status of the intelligent vehicle. Then, by explain the platform and its properties, it analyzed the essence of height difference measurements of the platform. Depending on the platform control requirements, the paper analyzed the overall design of vehicle’s vision and measurement system. Among them, the vision system analyzes the selection and installation of the device, including the height of the camera installed, the camera angle, the number of cameras and so on. Also, the measurement system analyzed the selection and installation of the measuring sensors.We also researched the key algorithmic problems of vision system. According to the indicator of image processing speed, we point out the shortcomings of the tradition global edge detections. After analyzing the actu al imaging of the platform, we proposed a fast way to detect the edge of platform image. Through the research of camera’s imaging model, we prove the calculation method of vision feedback. Also, we design the software of vision system by function module. At last, by the test data of navigation and calibration, the paper analyzes the results of the software and vehicle.Finally, the measurement system analyzed the measurement accuracy and the error of sensor. According to the analysis, we verify that the sys tem works well.