首页|非匀速条件下车辆底盘超近距成像测量方法

非匀速条件下车辆底盘超近距成像测量方法

Ultra-close Vehicle Chassis Imaging Measurement under Non-uniform Speed

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针对车辆非匀速条件下轴距视觉测量及轴型识别所面临的超近距、大幅面、低畸变成像及视觉测量问题,提出一种适用于非匀速条件下的车辆底盘结构超近距成像测量方法.利用鱼眼相机采集运动车辆底盘的超广角图像序列,通过一种改进的多采样点圆拟合方法实现图像感兴趣区域的提取.建立三维等距成像模型对鱼眼图像进行畸变校正.针对车辆非匀速行驶带来的视频帧重叠度差异,采用基于图像内容的重叠度分析技术,实现了多步分层的关键帧提取,有效避免了车速不稳定对车辆底盘结构测量的影响.现场实验结果表明:该方法可在非匀速条件下,以20~50 cm的成像距离获得清晰、低畸变的完整车辆底盘图像,车辆轴距测量误差均值约为5%.
Aiming at the technical problems of axle-type recognition under the condition of non-uniform vehicle speed,such as ultra-close distance,large area,and low distortion imaging,a method of ultra-close imaging correction and mosaic for vehicle chassis with speed-adaptive ability is proposed.The ultra-wide-angle image sequences of a moving vehicle chassis are collected by a fish-eye camera,and a method of circle fitting by multi-sample points is proposed to extract the region of interest(ROI).The method for image distortion correction is then performed using an isometric projection model based on the 3D imaging geometry model.Aiming at the problem of vehicle's non-uniform speed,which leads to large range of the overlap area between video's adjacent frames,a multi-step layered key frame extraction is carried out with image content overlap analysis technology,avoiding the influence of uneven image distribution on mosaic results.The experimental results show that the proposed method can obtain clear and complete vehicle chassis'images with lower distortion at the distance of 20~50 cm under the condition of non-uniform vehicle speed,with a 5%average measuring error of the vehicle axles distance.

geometric measurementvehicle chassis measurementnon-uniform speedmachine visionimage mosaicvideo key framesfish-eye image correction

张月莹、殷其昊、荆根强、颜露新、王相勋

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浙江省机电产品质量检测所有限公司,浙江杭州 310051

交通运输部公路科学研究所,北京 100088

华中科技大学多谱信息智能处理技术全国重点实验室,湖北武汉 430074

几何量计量 车辆底盘测量 非匀速 机器视觉 图像拼接 视频关键帧 鱼眼成像校正

国家重点研发计划交通运输部交通强国试点项目

2021YFF0600205QG2021-4-20-1

2024

计量学报
中国计量测试学会

计量学报

CSTPCD北大核心
影响因子:0.303
ISSN:1000-1158
年,卷(期):2024.45(2)
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