Optimal vehicle position estimation using adaptive unscented Kalman filter based on sensor fusion

Giseo Park

doi:10.1016/j.mechatronics.2024.103144

ScienceGate Book Chapters

JOURNAL ARTICLE

Optimal vehicle position estimation using adaptive unscented Kalman filter based on sensor fusion

Giseo Park

Year: 2024 Journal: Mechatronics Vol: 99 Pages: 103144-103144 Publisher: Elsevier BV

DOI: 10.1016/j.mechatronics.2024.103144

Get Full-Text PDF Get Analytical Report

Keywords:

Kalman filter Inertial measurement unit Global Positioning System Sensor fusion Extended Kalman filter Robustness (evolution) GPS/INS Computer science Control theory (sociology) Engineering Assisted GPS Artificial intelligence

Metrics

Cited By

17.89

FWCI (Field Weighted Citation Impact)

Refs

0.99

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Target Tracking and Data Fusion in Sensor Networks

Physical Sciences → Computer Science → Artificial Intelligence

Inertial Sensor and Navigation

Physical Sciences → Engineering → Aerospace Engineering

Fault Detection and Control Systems

Physical Sciences → Engineering → Control and Systems Engineering

Optimal vehicle position estimation using adaptive unscented Kalman filter based on sensor fusion

Metrics

Citation History

Topics

Related Documents

Multi-Sensor Optimal Data Fusion Based on the Adaptive Fading Unscented Kalman Filter

Vehicle State Estimation Based on Adaptive Fading Unscented Kalman Filter

MISSILE POSITION ESTIMATION USING UNSCENTED KALMAN FILTER

Multi-sensor Data Fusion for Wheelchair Position Estimation with Unscented Kalman Filter

Train Localization using Unscented Kalman Filter – Based Sensor Fusion