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Multi-sensor information fusion is an important method of high-precision track detection, and accelerometer and gyroscope are the key sensors in multi-sensor information fusion. In order to solve the problem of low measurement accuracy caused by the accumulative error of accelerometer and gyroscope, a method of track line detection based on multi-sensor information fusion is proposed. Based on the measurement principle of strapdown inertial system and binocular vision, a multi-sensor data fusion model combining binocular vision, gyroscope and accelerometer is established, and the integration of binocular vision, accelerometer and gyroscope measurement information is realized by using extended kalman filter to improve the accuracy of track line detection. The experimental results show that the measurement accuracy based on the multi-sensor fusion method is nearly 9 times higher than that of the inertial method, the maximum displacement error of the measured coordinates in the three directions is no more than 0.536mm,which can realize the high-precision track line shape detection.