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Vehicle sideslip angle estimation using deep ensemble-based adaptive Kalman filter

Mechanical Systems and Signal Processing, 2020
This paper presents a novel sideslip angle estimation scheme combining deep neural network and nonlinear Kalman filters. The deep neural network contains a recurrent neural network with long short-term memory which is effective for analyzing sequential ...
Kunsoo Huh, Dongchan Kim, Kyushik Min
exaly   +2 more sources

Autonomous Vehicle Kinematics and Dynamics Synthesis for Sideslip Angle Estimation Based on Consensus Kalman Filter

IEEE Transactions on Control Systems Technology, 2023
An autonomous vehicle sideslip angle estimation algorithm is proposed based on consensus and vehicle kinematics/ dynamics synthesis. Based on the velocity error measurements between the reduced Inertial Navigation System (R-INS) and the global navigation
X. Xia   +3 more
semanticscholar   +1 more source

VLTENet: A Deep-Learning-Based Vertebra Localization and Tilt Estimation Network for Automatic Cobb Angle Estimation

IEEE journal of biomedical and health informatics, 2023
Scoliosis diagnosis and assessment rely upon Cobb angle estimation from X-ray images of the spine. Recently, automated scoliosis assessment has been greatly improved using deep learning methods.
Lulin Zou   +6 more
semanticscholar   +1 more source

Vehicle Sideslip Angle Estimation Based on Strong Tracking SCKF Considering Road Inclinations

IEEE Transactions on Vehicular Technology, 2023
As one of the most significant states to represent lateral stability, vehicle sideslip angle holds significant importance in vehicle dynamic control systems.
Yicai Liu   +4 more
semanticscholar   +1 more source

A Novel Hybrid Unsupervised Domain Adaptation Method for Cross-Subject Joint Angle Estimation From Surface Electromyography

IEEE Robotics and Automation Letters, 2023
Individual physiological differences constrain the cross-user application of joint angle estimation models based on surface electromyography (sEMG) signals.
Long Wang   +6 more
semanticscholar   +1 more source

Joint Range and Angle Estimation by FDA-MIMO Radar With Unknown Mutual Coupling

IEEE Transactions on Aerospace and Electronic Systems, 2023
Frequency diverse array-multiple-input multiple-output (FDA-MIMO) radar is characterized by a range–angle-dependent transmit antenna beampattern, where both range and angle of the target can be jointly estimated.
Long Liu, Hu Zhang, Lan Lan, Jingya Deng
semanticscholar   +1 more source

Nested MIMO Radar: Coarrays, Tensor Modeling, and Angle Estimation

IEEE Transactions on Aerospace and Electronic Systems, 2021
This article addresses the problem of joint direction of departure (DOD) and direction of arrival (DOA) estimation with nested bistatic multiple input multiple output (MIMO) radar using tensor decomposition.
Junpeng Shi, Fang-qing Wen, Tianpeng Liu
semanticscholar   +1 more source

Event-Triggered Asynchronous Fuzzy Filtering for Vehicle Sideslip Angle Estimation With Data Quantization and Dropouts

IEEE transactions on fuzzy systems, 2022
This article investigates the event-triggered fuzzy filtering issue for vehicle sideslip angle estimation with consideration of data quantization and dropouts.
Wenfeng Li   +5 more
semanticscholar   +1 more source

Hitch Angle Estimation of a Towing Vehicle With Arbitrary Configuration

IEEE transactions on intelligent transportation systems (Print), 2022
In this paper, ultra-sonic sensors along with kinematics and dynamics equations of a towing vehicle are used to develop three approaches for hitch angle estimation.
Amin Habibnejad Korayem   +6 more
semanticscholar   +1 more source

A Novel PWA Lateral Dynamics Modeling Method and Switched T-S Observer Design for Vehicle Sideslip Angle Estimation

IEEE transactions on industrial electronics (1982. Print), 2022
In this article, a novel vehicle sideslip angle estimation method is proposed using the Takagi–Sugeno (T–S) observer based on a piecewise affine (PWA) lateral dynamics model.
Qian Zhang   +4 more
semanticscholar   +1 more source

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