Vehicle State Estimation Combining Physics-Informed Neural Network and Unscented Kalman Filtering on Manifolds. [PDF]
Sensors (Basel), 2023 This paper proposes a novel vehicle state estimation (VSE) method that combines a physics-informed neural network (PINN) and an unscented Kalman filter on manifolds (UKF-M).
Tan C, Cai Y, Wang H, Sun X, Chen L.
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Vehicle State Estimation and Prediction [PDF]
Vehicles, 2023 This paper presents methods for vehicle state estimation and prediction for autonomous driving. A roundabout is chosen to apply the methods and illustrate the results as autonomous vehicles have difficulty in handling roundabouts. State estimation based on the unscented Kalman filter (UKF) is introduced first with application to a roundabout.
Li, Xinchen +2 more
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A Novel Kalman Filter Design and Analysis Method Considering Observability and Dominance Properties of Measurands Applied to Vehicle State Estimation. [PDF]
Sensors (Basel), 2021 In Kalman filter design, the filter algorithm and prediction model design are the most discussed topics in research. Another fundamental but less investigated issue is the careful selection of measurands and their contribution to the estimation problem ...
Ruggaber J, Brembeck J.
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Vehicle state estimation based on extended Kalman filter and radial basis function neural networks
International Journal of Distributed Sensor Networks, 2022 To improve the reliability of vehicle state parameter estimation, a vehicle state fusion estimation method based on dichotomy is proposed. An extended Kalman filter algorithm is designed based on the vehicle 3 degrees of freedom dynamic model. Meanwhile,
Yunfei Zha, Xinye Liu, Fangwu Ma, CC Liu
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Ego-motion and Surrounding Vehicle State Estimation Using a Monocular Camera [PDF]
2019 IEEE Intelligent Vehicles Symposium (IV), 2020 Understanding ego-motion and surrounding vehicle state is essential to enable automated driving and advanced driving assistance technologies. Typical approaches to solve this problem use fusion of multiple sensors such as LiDAR, camera, and radar to ...
Dariush, Behzad, Hayakawa, Jun
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Estimation algorithm for vehicle state estimation using ant lion optimization algorithm
Advances in Mechanical Engineering, 2022 In order to solve the problem of vehicle state estimation, an unscented Kalman filter state parameter estimator based on the Ant lion algorithm is proposed.
Yingjie Liu, Dawei Cui
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Entropy, 2023 Accurate acquisition of vehicle dynamics state information is essential for vehicle active safety control systems. However, these states cannot be easily measured, and the measurement is expensive.
Dengliang Qi +4 more
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Distributed robust vehicle state estimation [PDF]
2017 IEEE Intelligent Vehicles Symposium (IV), 2017 A distributed estimation approach based on opinion dynamics is proposed to enhance the reliability of vehicle corners' velocity estimates. The corners' estimates, which are obtained from a Kalman filter, is formed by integrating the model-based and kinematic-based velocity estimation approaches.
Ehsan Hashemi +5 more
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Delay-Compensated Lane-Coordinate Vehicle State Estimation Using Low-Cost Sensors [PDF]
SensorsAccurate vehicle state estimation in a lane coordinate system is essential for safe and reliable operation of Advanced Driver Assistance Systems (ADASs) and autonomous driving.
Minsu Kim, Weonmo Kang, Changsun Ahn
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Vehicle State Estimation Based on Multidimensional Information Fusion
IEEE Access, 2022 As the core input parameters of various control systems, the real-time and accurate acquisition of reference speed, mass and road slope is the key factor to improve the performance of intelligent vehicle dynamics control.
Duanyang Tian +3 more
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