13th Asia Pacific Transportation Development Conference
Inertial Measurement System for Track Alignment Inspection Based on Machine Vision
Publication: Resilience and Sustainable Transportation Systems
ABSTRACT
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.
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ACKNOWLEDGEMENT
This research was funded by National Natural Science Foundation of China [Grant No.: 51907117,51975347], and the Shanghai Committee of Science and Technology [Grant No.: 18030501300].
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Information & Authors
Information
Published In
Resilience and Sustainable Transportation Systems
Pages: 530 - 537
Editors: Fengxiang Qiao, Ph.D., Texas Southern University, Yong Bai, Ph.D., Marquette University, Pei-Sung Lin, Ph.D., University of South Florida, Steven I Jy Chien, Ph.D., New Jersey Institute of Technology, Yongping Zhang, Ph.D., California State Polytechnic University, and Lin Zhu, Ph.D., Shanghai University of Engineering Science
ISBN (Online): 978-0-7844-8290-2
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© 2020 American Society of Civil Engineers.
History
Published online: Jun 29, 2020
Published in print: Jun 29, 2020
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