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A hybrid dead reckoning error correction scheme based on extended Kalman filter and map matching for vehicle self-localization
| 题名： | A hybrid dead reckoning error correction scheme based on extended Kalman filter and map matching for vehicle self-localization |
| 正文语种： | 英文 |
| 作者： | Biao Yu; Lin Dong; Deyi Xue; Hui Zhu; Xinli Geng; Ruling Huang; Jie Wang |
| 作者单位： | Institute of Applied Technology, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei, Anhui, China; Department of Automation, University of Science and Technology of China, Hefei, Anhui, China; Department of Mechanical and Manufacturing Engineering, University of Calgary, Calgary, Alberta, Canada |
| 关键词： | Dead reckoning; extended Kalman filter; map matching; self-localization |
| 摘要： | In this research, a hybrid dead reckoning error correction scheme is developed based on extended Kalman filter (EKF) and map matching (MM) to improve the positioning accuracy for vehicle self-localization. The developed method aims at obtaining accurate positions when the GPS signals are occasionally unavailable or weakened. First, the heading data collected from an odometer and an optical fiber gyroscope are integrated by an EKF to reduce the random errors in dead reckoning. Then a modified topological MM algorithm is developed to reduce the systematic errors in dead reckoning. In this work, both cross-track errors and along-track errors are considered to improve positioning accuracy of MM. The errors are finally corrected using the results achieved from both the dead reckoning and the MM when the driving distance of a vehicle exceeds a predefined length or the vehicle turns in an intersection. Experiments have been conducted to evaluate the developed method and the results show that the maximum error and average error of dead reckoning can be respectively reduced to 15.4?m and 5.2?m during the experiment with total distance of 43?km. This positioning accuracy is even better than the accuracy of the low-cost GPSs which are usually at the order of 15–20?m (95%). The developed method is effective to achieve the positions of the vehicle when the GPS signals are occasionally unavailable or weakened. |
| 出版年： | 2019 |
| 期刊名称： | Journal of Intelligent Transportation Systems Technology Planning and Operations |
| 卷： | 23 |
| 期： | 1 |
| 页码： | 84-98 |
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