Adaptive Kalman Filter with Linear Equality Road Constraints for Autonomous Vehicle Localization

Yanjie Xu, Xingqi Wang, Chaoyang Jiang

科研成果: 书/报告/会议事项章节会议稿件同行评审

4 引用 (Scopus)

摘要

This paper proposes a positioning method using an adaptive Kalman filter (AKF) with linear equality road constraints. The AKF algorithm used in vehicle localization can adaptively adjust the covariance matrices of both the system noise and the measurement noise based on the innovation sequence. Linear equality road constraints incorporated into AKF architecture can restrict the unconstrained position estimates to the constraint set via projection method and then give the final positioning results. Finally., two simulation cases based on segmented straight roads are provided to show the effectiveness of the proposed method.

源语言英语
主期刊名16th IEEE International Conference on Control, Automation, Robotics and Vision, ICARCV 2020
出版商Institute of Electrical and Electronics Engineers Inc.
1341-1346
页数6
ISBN(电子版)9781728177090
DOI
出版状态已出版 - 13 12月 2020
活动16th IEEE International Conference on Control, Automation, Robotics and Vision, ICARCV 2020 - Virtual, Shenzhen, 中国
期限: 13 12月 202015 12月 2020

出版系列

姓名16th IEEE International Conference on Control, Automation, Robotics and Vision, ICARCV 2020

会议

会议16th IEEE International Conference on Control, Automation, Robotics and Vision, ICARCV 2020
国家/地区中国
Virtual, Shenzhen
时期13/12/2015/12/20

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