Vehicle State and Bias Estimation Based on Unscented Kalman Filter with Vehicle Hybrid Kinematics and Dynamics Models-Reference-Cited by-同舟云学术

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Vehicle State and Bias Estimation Based on Unscented Kalman Filter with Vehicle Hybrid Kinematics and Dynamics Models

Published:2023-11 Issue:4 Volume:6 Page:571-585
ISSN:2096-4250
Container-title:Automotive Innovation
language:en
Short-container-title:Automot. Innov.

Author:

Zhong Shouren,Zhao Yang^ORCID,Ge Linhe,Shan Zitong,Ma Fangwu

Funder

Postdoctoral Research Foundation of China

Foundation of State Key Laboratory of Automotive Simulation and Control

Jilin Scientific and Technological Development Program

China Association for Science and Technology

Publisher

Springer Science and Business Media LLC

Subject

Automotive Engineering

Link

https://link.springer.com/content/pdf/10.1007/s42154-023-00230-7.pdf

Reference28 articles.

1. Wu, K.J., Roumeliotis, S.I.: Unobservable Directions of VINS Under Special Motions. 9

2. Wu, K.J., Guo, C.X., Georgiou, G., Roumeliotis, S.I.: VINS on wheels. In: 2017 IEEE International Conference on Robotics and Automation (ICRA). pp. 5155–5162. IEEE, Singapore (2017)

3. Ma, F., Shi, J., Yang, Y., Li, J., Dai, K.: ACK-MSCKF: tightly-coupled Ackermann multi-state constraint Kalman filter for autonomous vehicle localization. Sensors. 19, 4816 (2019). https://doi.org/10.3390/s19214816

4. Mourikis, A.I., Roumeliotis, S.I.: A Multi-state constraint kalman filter for vision-aided inertial navigation. In: Proceedings 2007 IEEE International Conference on Robotics and Automation. pp. 3565–3572. IEEE, Rome, Italy (2007)

5. Sun, K., Mohta, K., Pfrommer, B., Watterson, M., Liu, S., Mulgaonkar, Y., Taylor, C.J., Kumar, V.: Robust stereo visual inertial odometry for fast autonomous flight. ArXiv171200036 Cs. (2018)

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