基于GPS和车辙的三维路面重构

Three dimensional Road Reconstruction Based on GPS and Ruts

摘要:

提出了一种基于地理定位系统（GPS)和横断面车辙数据的路面三维重构模型.针对GPS和车辙的采样间隔不同，首先采用Cardinal插值算法对非等间距的离散GPS点插值，并按间距需求选取等间距的插值点，然后将序列化后的GPS插值数据与车辙数据融合，构造出在三维空间中用于绘制三角形网格的顶点矩阵，最后实现了三维重构路面的绘制.实验表明用该方法重构的三维路面在路面车辙、坑槽及拥包的检测方面有很好的应用价值.

Abstract:

A three dimensional (3D) reconstruction model of road surface was proposed based on global positioning system （GPS） and rut of road cross section. First, non equidistant GPS points were interpolated on Cardinal interpolation algorithm by taking into account different sampling interval of GPS and ruts, then equidistant interpolation points were selected according to requirement. Subsequently, GPS and rut data were fused to construct vertices dot matrix which was used to draw triangle mesh in 3D space. Finally, an experiment system with 3D road model was developed. Practice shows that the method of 3D road surface reconstruction described above is useful to observe rut, pothole and swelling of road.