Abstract：To solve the problems of the existing indoor localization methods with high cost, low precision and accumulated error, a vehicle localization method integrating dead reckoning (DR) algorithm, motion state identification and correction points and sensors information was proposed. The DR algorithm was used to calculate the approximate position of the vehicle for detecting the vehicle whether at correction point, and the trajectory was corrected according to the correction point information and sensor data by the motion state recognition technology. The data collected by low precision inertial sensor were simulated, and the trajectory was tracked. The results show that by eliminating the cumulative error at the correction point, the proposed method can effectively improve the localization accuracy and meet the localization needs of vehicles using lowaccuracy inertial sensor without global positioning system （GPS）.
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