Track alignment inspection is one of the most important methods to ensure safe transportation. Due to the cumulative error of the gyroscope and the accelerometer, the conventional inertial measurement has lower accuracy under the low speed. In order to solve this problem, a novel inspected method for railway space curve based on multi-sensors fusion of machine vision and inertial measurement is proposed. By using extended Kalman filter, the fusion of the machine vision and inertia information is obtained. Moreover, the inspected performance of the proposed method is investigated by experiment. Compared with the method of conventional inertial measurement, the result demonstrate that the new method has higher accuracy. Furthermore, it is found that the measurement accuracy of the proposed method has improved nearly 10 times.
展开▼
