铁道标准设计2018，Vol.62Issue(4)：17-21,5.DOI:10.13238/j.issn.1004-2954.201706010001
基于2D的钢轨轮廓特征点提取方法研究
Study on Extraction Method of Rail Profile Feature Points Based on 2D Laser Displacement Sensor
摘要
Abstract
Rapid and accurate extraction of feature points of rail contour data is the prerequisite to ensure accurate matching of rail contour and detection of track geometric irregularity. This paper conducts a study on the extraction method of the rail profile measurement data features based on the two-dimensional laser displacement sensor(2D). By using smoothing filtering method based on mid-value error and continuous self-adaption adjusting value, the paper carries out the smoothing filtering of the measured profile data to allow the sectional profile data being sectionally smoothed. The concept of rail profile feature curve is put forward, a definition method of feature curve is given, and measured profile feature points are rapidly located based on feature points on the feature curve. Finally,GJ-2 track inspection car is employed to measure the actual track profile with the feature point extraction method proposed in this paper to extract the measured data feature points. The test results show that this method can locate feature points quickly and accurately.关键词
二维激光位移传感器/钢轨轮廓/平滑滤波/特征曲线/特征点提取Key words
2D laser displacement sensor/Rail profile/Smoothing filtering/Feature curve/Feature point extraction分类
交通工程引用本文复制引用
熊仕勇,陈春俊,王锋..基于2D的钢轨轮廓特征点提取方法研究[J].铁道标准设计,2018,62(4):17-21,5.基金项目
国家自然科学基金项目(51475387) （51475387）
