车辙深度测量通常使用共梁式多路激光测距传感器测量路面多个离散点，由多个测量点组成的断面信息计算车辙深度，因横向采样点间距宽，导致测量误差较大。提出了一种新的激光车辙深度测量方法，采用线激光器和三维(3D)相机组合集成测量路面3D断面，通过3D断面解算车辙深度。3D相机以一定夹角采集激光器投射在路面的线结构光图像，获取路面的3D断面数据，对断面数据通过拉依达准则进行异常值剔除，再进行旋转、平移和模型识别，最终计算路面左右轮迹和最大车辙深度。实际证明，数据重复性和相关性都达到98%以上，与传统方法相比较，该方法采样间距小、测量精度高、成本低、通用性强，具有广阔的使用推广价值。

Share-beam multi-channel laser ranging sensor is usually used to detect rut depth by measuring several discrete points of the road which are used to form section information. The great transverse sampling distance causes large measurement error. A new laser method to detect rut depth is introduced; it measures three-dimensional (3D) section by integrating line laser sensor with 3D camera, which is used to resolve rut depth. 3D camera collects light image in the form of line structure projected on the road by laser at a certain angle, obtains 3D section data and rejects the abnormal value by the Pauta criterion. After rotating, translating and pattern recognition, left and right wheels mark and maximum rut depth are achieved. A case study shows that repeatability and correlation of data are over 98%. Compared with traditional methods, the proposed method has the better performance of short sampling distance, high accuracy, low cost, versatility and widely promotional value.