基于结构光的路面三维重构技术

3D road reconstruction research based on structured light

为给道路养护部门提供直观的养护决策依据,采用红外线激光器和面阵3D相机实现水泥混凝土路面三维信息的快速采集,提出针对道路表面三维数据去噪效果良好的双相标准差滤波算法;提出邻近加权平均插值算法与空间积分算法,实现路面三维数据的恢复和路面三维模型的构建;采用Matlab与VC++混合编程高效、准确地实现路面的三维重构。实验结果表明,该路面三维信息采集和处理系统性能稳定、可靠性较高;三维重构系统鲁棒性高、可移植性及可视化效果较好,可为道路养护决策提供直观、有效、科学的依据。

To provide intuitive maintenance decision-making basis for road maintenance department, infrared laser and array 3D camera were adopted to achieve the fast 3D information acquisition of cement concrete pavement surface. Biphase standard devia- tion filtering algorithm with good de-noising effect on road surface 3D data was proposed. The nearby weighted average interpola- tion algorithm and spatial integration were developed to obtain the model of three-dimensional pavement, and hybrid program of Matlab and VC＋ ＋ was selected which was efficient and accurate. Experimental results indicate that the 3D information acquisi- tion system of road is characterized by stable performance and high reliability. The 3D reconstruction system is robust, portable and has great visual effect. All of these can provide intuitive, effective and scientific basis for road maintenance decision-making.