Analysis of velocity estimation error for a multidimensional Doppler ultrasound system

1988 ◽  
Vol 35 (5) ◽  
pp. 536-544 ◽  
Author(s):  
A. Ashrafzadeh ◽  
J.Y. Cheung ◽  
K.J. Dormer
Keyword(s):  
Doppler Ultrasound ◽  
Estimation Error ◽  
Velocity Estimation ◽  
Ultrasound System

Continuous Wave Dental Doppler Ultrasound System for Measuring Pulp Blood Flow

2021 ◽  
Author(s):  
Jaebum Park ◽  
Yeongdae Kim ◽  
Junyeon Kim ◽  
Tai-Kyong Song
Keyword(s):  
Blood Flow ◽  
Doppler Ultrasound ◽  
Continuous Wave ◽  
Ultrasound System

scholarly journals Vehicle Velocity Estimation Fusion with Kinematic Integral and Empirical Correction on Multi-Timescales

Energies ◽  
2019 ◽  
Vol 12 (7) ◽  
pp. 1242
Author(s):  
Jiangyi Lv ◽  
Hongwen He ◽  
Wei Liu ◽  
Yong Chen ◽  
Fengchun Sun
Keyword(s):  
Autonomous Vehicles ◽  
Estimation Error ◽  
Longitudinal Velocity ◽  
Estimation Method ◽  
Velocity Estimation ◽  
Model Parameters ◽  
Lateral Velocity ◽  
Empirical Correction ◽  
Vehicle Velocity ◽  
Wide Range

Accurate and reliable vehicle velocity estimation is greatly motivated by the increasing demands of high-precision motion control for autonomous vehicles and the decreasing cost of the required multi-axis IMU sensors. A practical estimation method for the longitudinal and lateral velocities of electric vehicles is proposed. Two reliable driving empirical judgements about the velocities are extracted from the signals of the ordinary onboard vehicle sensors, which correct the integral errors of the corresponding kinematic equations on a long timescale. Meanwhile, the additive biases of the measured accelerations are estimated recursively by comparing the integral of the measured accelerations with the difference of the estimated velocities between the adjacent strong empirical correction instants, which further compensates the kinematic integral error on short timescale. The algorithm is verified by both the CarSim-Simulink co-simulation and the controller-in-the-loop test under the CarMaker-RoadBox environment. The results show that the velocities can be accurately and reliably estimated under a wide range of driving conditions without prior knowledge of the tire-model and other unavailable signals or frequently changeable model parameters. The relative estimation error of the longitudinal velocity and the absolute estimation error of the lateral velocity are kept within 2% and 0.5 km/h, respectively.

Doppler ultrasound velocity estimation

1997 ◽  
Vol 101 (5) ◽  
pp. 2431
Author(s):  
Jin H. Kim ◽  
Dong-Chyan Liu
Keyword(s):  
Doppler Ultrasound ◽  
Ultrasound Velocity ◽  
Velocity Estimation
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