公路横纵坡的传统人工检测方法速度慢、精度差、效率低、需交通管制，在实时性、灵活性和安全性等方面存在严重不足。采用4台激光测距机（LRF）形成激光测距阵列，结合全球定位系统（GPS）和惯性测量单元（IMU）构建测量平面，实现公路横纵坡的检测。设计了一种基于相对运动的标定方法，通过获取激光测距阵列的偏差角修正前期测量数据进行标定，从而有效提高了测量精度。最后在实际路段进行检测，结果显示经过标定后测量精度提高了5% 左右，横纵坡数据测量重复度达到95% 以上，相关度均达到99.9%，完全能满足公路路基路面现场测试规程要求。

The process to measure the slop and cross-fall of highway with traditional manual methods has disadvantages of speed, low accuracy, and low efficiency, which needs imperative traffic control and shows several shortcomings in real time, flexibility and security. We design a laser detection arrays composed of four laser range finders (LRF), and an inertial measurement unit (IMU) is combined with global positioning system (GPS) to form a measurement plane, which realizes the measurement of slop and cross-fall of highway. Then a calibration method based on relative movement is proposed, with which we can obtain the deviation angle of laser detection arrays and correct measurement data for calibration, then we can improve the measurement accuracy. The actual road test shows that with the proposed method the accuracy is improved about 5% after calibration. The repeatability of the slope and cross-fall experimental data is more than 95%, and the correlation reaches 99.9%, which can meet the requirements of the standard of field test methods of subgrade and pavement for highway engineering.