【2017年整理】逆向论文：基于激光雷达三维测量的车灯逆向技术研究.doc

逆向论文：基于激光雷达三维测量的车灯逆向技术研究【中文摘要】随着科学技术的不断发展,汽车外形的设计与开发也进入了三维建模时代逆向工程技术以其高效率、低成本等优势在汽车等工业制造行业中得到越来越广泛的应用本文主要研究探讨了车灯逆向技术的几个关键技术：三维数据采集技术、数据处理技术以及曲面重构技术首先,通过对非接触和接触式测量的对比分析,应用了具有测量速度快、测量精度高、测量范围大等优点的激光雷达作为数据采集的工具然后,对采集到的点云数据进行数据整合对齐、数据去噪、数据精简、数据插补以及数据分块等处理,来降低测量过程中引入的误差之后,基于 NURBS 曲线曲面数学模型,探讨了重建曲线、曲面的具体方法并进行了误差分析最后,根据汽车表面光滑度的要求,讨论了车灯外表面的连续性,分析了曲面的光顺性,均达到标准英文摘要】With the continuous development of science and technology, the area of automobiles configuration design has entered the era of 3D modeling. Because of the advantage of high efficiency and low cost, reverse engineering has been applied widely in manufacturing industries such as automobiles manufactory.Three key technologies are investigated in this paper:laser radar data acquisition technology, data processing technology and surface reconstruction technology. Firstly, laser radar data acquisition technology was chosen after comparing all the methods of both contact measurement and non-contact measurement. Although laser radar data acquisition technology has the advantage of high speed, high accuracy, wide measurement range, the measurement result has to be taken some treatment such as data reposition, data filter, data remove, data interpolation and data segmentation. Then the method of reconstructing curves and surfaced are illustrated based on NURBS mathematical model and the error of the reconstructed model is analyzed. At last, the continuity standards of automobiles light’s outer surface are discussed, and the fairness of the reconstructed model is evaluated.【关键词】逆向 激光雷达 曲面重构 光顺性【英文关键词】automobile light laser radar reconstruct surface fairness【目录】基于激光雷达三维测量的车灯逆向技术研究      摘要    4-5          Abstract    5          目录    6-8         第一章 绪论    8-12          1.1 概述    8-9          1.2 国内外发展现状    9-11          1.2.1 激光雷达测量技术国内外发展现状    9-10          1.2.2 逆向工程国内外发展现状    10-11          1.3 课题研究内容    11-12          第二章 激光雷达数据采集技术    12-21          2.1 数据采集方法介绍及其比较    12-15          2.1.1 接触式数据采集方法    12-14         2.1.2 非接触式数据采集方法    14-15          2.1.3 接触式、非接触式数据采集方法的比较    15          2.2 汽车车灯数据获取的实现    15-21          2.2.1 激光雷达数据采集原理   16-18          2.2.2 激光雷达数据采集流程    18-21         第三章 数据处理技术    21-28          3.1 数据处理关键技术   21-25          3.1.1 多数据整合对齐    21-22          3.1.2 数据去噪    22-23          3.1.3 数据精简    23         3.1.4 数据插补    23-24          3.1.5 数据分块    24-25         3.2 车灯数据处理的实现    25-28          第四章 曲面重构技术    28-42          4.1 曲线曲面数学模型    28-35         4.1.1 贝塞尔曲线/曲面模型    29-31          4.1.2 B 样条曲线/曲面模型    31-32          4.1.3 NURBS 曲线/曲面模型   32-35          4.2 曲面模型的建立    35-38          4.2.1 曲线的建立    35-36          4.2.2 基于曲线的曲面重建   36-38          4.3 车灯的曲面重构    38-40          4.4 曲面重构误差的分析与消除    40-42          第五章 曲面模型的光顺评价    42-54          5.1 曲线光顺    42          5.2 曲面光顺    42-46          5.2.1 能量光顺算法    43-44         5.2.2 偏微分方程光顺算法    44-46          5.2.3 基于曲线光 顺的扩展算法    46          5.3 曲面光顺性评价方法    46-49         5.3.1 基于曲率的方法    46-47          5.3.2 基于曲面光照模型的方法    47-49          5.4 车灯曲线曲面光顺性评价   49-54          5.4.1 车灯曲线曲面光顺评价标准    49-51         5.4.2 车灯曲线曲面光顺评价    51-54          总结    54         论文发表情况    54-55          致谢    55-56          参考文献    56-57   。