Vehicle State Estimation Based on V2V System

2015 ◽  
pp. 307-314
Author(s):  
Yong Pan ◽  
Ziqiang Tang ◽  
Xianwu Gong ◽  
Chao Tang
Keyword(s):  
State Estimation ◽  
Vehicle State Estimation

scholarly journals A Novel Comprehensive Scheme for Vehicle State Estimation Using Dual Extended H-Infinity Kalman Filter

Electronics ◽  
2021 ◽  
Vol 10 (13) ◽  
pp. 1526
Author(s):  
Fengjiao Zhang ◽  
Yan Wang ◽  
Jingyu Hu ◽  
Guodong Yin ◽  
Song Chen ◽  
...  
Keyword(s):  
Kalman Filter ◽  
State Estimation ◽  
Estimation Accuracy ◽  
Vehicle Speed ◽  
Sideslip Angle ◽  
H Infinity ◽  
Yaw Rate ◽  
Cost Constraints ◽  
Active Safety Systems ◽  
Vehicle State Estimation

The performance of vehicle active safety systems relies on accurate vehicle state information. Estimation of vehicle state based on onboard sensors has been popular in research due to technical and cost constraints. Although many experts and scholars have made a lot of research efforts for vehicle state estimation, studies that simultaneously consider the effects of noise uncertainty and model parameter perturbation have rarely been reported. In this paper, a comprehensive scheme using dual Extended H-infinity Kalman Filter (EH∞KF) is proposed to estimate vehicle speed, yaw rate, and sideslip angle. A three-degree-of-freedom vehicle dynamics model is first established. Based on the model, the first EH∞KF estimator is used to identify the mass of the vehicle. Simultaneously, the second EH∞KF estimator uses the result of the first estimator to predict the vehicle speed, yaw rate, and sideslip angle. Finally, simulation tests are carried out to demonstrate the effectiveness of the proposed method. The test results indicate that the proposed method has higher estimation accuracy than the extended Kalman filter.

Sensor configurations and testbed for vehicle state estimation

2014 ◽  
Author(s):  
Varun Krishna Balakrishnnan ◽  
Stefano Longo ◽  
Efstathios Velenis ◽  
Phil Barber
Keyword(s):  
State Estimation ◽  
Vehicle State Estimation

Vehicle state estimation from a sports-car application point of view focusing on handling dynamics

2016 ◽  
pp. 521-526 ◽  
Author(s):  
Martin Haudum ◽  
Johannes Edelmann ◽  
Manfred Plöchl ◽  
Manuel Höll
Keyword(s):  
State Estimation ◽  
Point Of View ◽  
Application Point ◽  
Vehicle State Estimation

VEHICLE STATE ESTIMATION USING VISION AND INERTIAL MEASUREMENTS

2007 ◽  
Vol 40 (10) ◽  
pp. 63-70
Author(s):  
Vishisht Gupta ◽  
Sean Brennan
Keyword(s):  
State Estimation ◽  
Vehicle State Estimation ◽  
Inertial Measurements

Vehicle State Estimation Based on IEKF-APF

2014 ◽  
Vol 50 (22) ◽  
pp. 136 ◽  
Author(s):  
Fapeng SHEN
Keyword(s):  
State Estimation ◽  
Vehicle State Estimation
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