基于计算机视觉的大型车辆实时定位定向技术

为了解决大型车辆在进行货物装卸时易出现位置和方向误差较大而需多次调整的情况,本文提出一种基于计算机视觉的大型车辆实时定位定向技术.本技术在指示带的辅助下,采用霍夫变换、数字识别等图像处理方法实时测量车辆相对于停车地点的距离、方向和位置信息,最后,系统将利用像素的距离和数量信息来精确计算运动距离,并以图像和数字等多种形式在车辆驾驶室内实时报告、显示.实验证明,该技术可实现大型车辆实时、准确的定位定向.

Real-Time Positioning and Direction Method for Oversize Vehicle Based on Computer Vision

In order to solve the problem that oversize vehicles are difficult to be positioned and directed when they load and unload cargos, a real-time positioning and direction method based on computer vision is presented in this paper. With the help of index strip, Hough Transform is applied to detect lines and its direction. Then, numeral recognition is introduced to compute vehicle''s rough moving distance. After that, the system will accurate position the distance by using length and number information of pixel of image. Finally, the result will report in image and digital format. The experimental results demonstrate the method''s accuracy and real-time performance.