Results 261 to 270 of about 820,459 (333)

A Gated Recurrent Unit-Based Particle Filter for Unmanned Underwater Vehicle State Estimation

IEEE Transactions on Instrumentation and Measurement, 2021
Target state estimation is a key technology for unmanned underwater vehicles (UUVs) to achieve target tracking, collision avoiding, formation control, and other tasks.
Changjian Lin, Hongjian Wang, Mingyu Fu, Jianya Yuan, J. Gu   +4 more
semanticscholar   +1 more source

Vehicle State Estimation Based on Unscented Kalman State Estimation

2008 International Symposium on Computational Intelligence and Design, 2008
This paper presents a method of estimating vehicle states using an Unscented Kalman filter (UKF). The UKF developed estimates Vehicle motion, such as yaw rate and side slip angle, from the noisy measurement set. The vehicle state estimation using a non-linear vehicle model with Unitire tire model will be compared to the measured state which is ...
Tianjun Zhu, Hongyan Zheng
openaire   +1 more source

State Estimation of Flying Vehicle

IFAC Proceedings Volumes, 1985
Abstract This paper discusses the effects of the random noises on the flight path of the flying vehicle and the application of the state estimator in the vehicle control system. According to the 6iven spectral density of the sea-wave colored noise, a lower order model is chosen for approximating to the sea-wave random process.
Wu Wen-Chi, Xiong Yu-Fei, Luo Zhi-Ying
openaire   +1 more source

Estimation of vehicle loading state

Proceedings of the 2004 IEEE International Conference on Control Applications, 2004., 2005
In the area of dynamic driving control and sensor monitoring, the parameters, which characterize the vehicle loading state, play an important role. In practice, the vehicle loading state and therefore the parameters change permanently. This fact influences the quality of both the control and the sensor monitoring.
T. Massel, E.L. Ding, M. Arndt
openaire   +1 more source

State Estimation of Vehicles

2021
The determination of not or not precisely measurable driving state variables as velocity over ground, slip angle, yaw, rolling, and pitch angle can be reconstructed by state estimation methods with kinematic or dynamic vehicle models. The estimation of some parameters may also be integrated in a state estimation procedure.
openaire   +1 more source

IoT-Based Electric Vehicle State Estimation and Control Algorithms Under Cyber Attacks

IEEE Internet of Things Journal, 2020
In order to provide intelligent services, the Internet-of-Things (IoT) facilitates millions of smart devices to be enabled with network connectivity to sense, collect, process, and exchange information.
M. Rana
semanticscholar   +1 more source

A Scalable Framework for Robust Vehicle State Estimation with a Fusion of a Low-Cost IMU, the GNSS, Radar, a Camera and Lidar

IEEE/RJS International Conference on Intelligent RObots and Systems, 2020
Automated driving requires highly precise and robust vehicle state estimation for its environmental perception, motion planning and control functions.
Yuran Liang, S. Müller, Daniel Schwendner, Daniel Rolle, Dieter Ganesch, Immanuel Schaffer   +5 more
semanticscholar   +1 more source

Estimation of preceding vehicle's driving state

Proceedings of Conference on Intelligent Transportation Systems, 2002
Estimation methods of the driving state (position, velocity, acceleration) and the lane displacement of forward vehicles are proposed. The lane displacement denotes the lateral displacement from the host vehicle's running lane. The driving state of each vehicle is estimated using Kalman filter; and it is corrected in the case that the estimation error ...
H. Araki, Y. Hiroshima, T. Ito
openaire   +1 more source

Vehicle State Estimation Based on Adaptive State Transition Model

2020 4th CAA International Conference on Vehicular Control and Intelligence (CVCI), 2020
The performance of vehicle chassis control systems relies on the accuracy of input information to the control systems. Some important vehicle states which are necessary for chassis control cannot be directly measured at low cost, such as the vehicle longitudinal and lateral velocities. In the existing literature, many vehicle state estimation solutions
Feihua Huang, Yan Gao, Chunyun Fu, Amirali K. Gostar, Reza Hoseinnezhad, Minghui Hu   +5 more
openaire   +1 more source

Driver/vehicle state estimation and detection

2011 14th International IEEE Conference on Intelligent Transportation Systems (ITSC), 2011
The authors present a cyber-physical systems related study on the estimation and prediction of driver states in autonomous vehicles. The first part of this study extends on a previously developed general architecture for estimation and prediction of hybrid-state systems.
Vijay Gadepally, Arda Kurt, Ashok Krishnamurthy, Umit Ozguner   +3 more
openaire   +1 more source