Vehicular trajectory estimation utilizing slip angle based on GNSS Doppler/IMU

Author:

Takikawa KanamuORCID,Atsumi Yoshiki,Takanose Aoki,Meguro Junichi

Abstract

AbstractAccurate vehicular trajectory estimation is important for the recently developed autonomous driving systems. As the accuracy of the vehicular trajectory estimation is reduced with the slippage that occurs during turning, we propose a method in this study to accurately estimate the trajectory of a vehicle, focusing on the slip angle estimation. Although the two-wheel model is used as a general concept slip angle estimation, the accurate estimation of the parameters was difficult using the conventional methods. Therefore, a global navigation satellite system (GNSS) Doppler was used for parameter estimation. In addition, the roll angle was estimated as it occurs during turning and affects the slip angle of the vehicle. Specifically, we verified the improvement in accuracy of the vehicular trajectory estimation using the cost-effective GNSS Doppler/IMU.

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Control and Optimization,Mechanical Engineering,Instrumentation,Modelling and Simulation

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Analysis of the gain factors of 5G-assisted BDS RTK positioning in urban environments;Satellite Navigation;2024-08-26

2. Vehicle state and parameter estimation based on adaptive robust unscented particle filter;Journal of Vibroengineering;2022-12-11

3. Precise and robust sideslip angle estimation based on INS/GNSS integration using invariant extended Kalman filter;Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering;2022-06-07

4. A Systematic Review of Autonomous Driving in Transportation;HCI International 2021 - Late Breaking Papers: HCI Applications in Health, Transport, and Industry;2021

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