@inproceedings{1a8620b6c80141568136cc1fb970d014,
title = "A Sensor Fusion Method for In-Station Articulation of Train",
abstract = "Under the background of the traditional method of manual carriage hooking, this paper studies and validates a sensor fusion method to provide data fusion information for the automatic articulation study based on millimeter-wave radar and monocular camera sensor hardware platform. We build the train model for joint calibration, process the trace point clustering, and optimize the traditional radar Kalman filtering method which improves the stability of radar signal. After the experimental verification, the sensor fusion system in this paper is effective in such complex environment like the train station to provide effective information fusion of the foreground. Compared with the single sensor, the method greatly enhanced target carriage in front of the train for bearing awareness, for subsequent automatic articulated method ensures the real-time performance and reliability of the data source.",
keywords = "Carriage articulation, Millimeter-wave radar, Sensor fusion, Signal filter",
author = "Liu, \{Zhao Qing\} and Song, \{Xing Yuan\} and Chen, \{Yi Hao\} and Yang, \{Zhen Ni\}",
note = "Publisher Copyright: {\textcopyright} 2021, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.; 16th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2020 in conjunction with the 13th International Conference on Frontiers of Information Technology, Applications and Tools, FITAT 2020 ; Conference date: 05-11-2020 Through 07-11-2020",
year = "2021",
doi = "10.1007/978-981-33-6420-2\_57",
language = "英语",
isbn = "9789813364196",
series = "Smart Innovation, Systems and Technologies",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "467--474",
editor = "Jeng-Shyang Pan and Jianpo Li and Oyun-Erdene Namsrai and Zhenyu Meng and Milo{\v s} Savi{\'c}",
booktitle = "Advances in Intelligent Information Hiding and Multimedia Signal Processing - Proceeding of the 16th International Conference on IIHMSP in Conjunction with the 13th International Conference on FITAT 2020",
address = "德国",
}