Computer Science
8 years ago

New filter algorithm boosts accuracy and stability for intelligent vehicle positioning.

Procedia Engineering
Square Root Cubature Kalman Filter-Kalman Filter Algorithm for Intelligent Vehicle Position Estimate
Jianmin Duan, Hui Shi, Dan Liu, Hongxiao Yu

Paper Summary

Related papers

Theme background image
Computer Science
4 years ago

Unscented Kalman Filter Outperforms Extended Kalman Filter in Target Tracking.

Particle Filtering
Inertial Navigation
Optoelectronic Systems
Theme background image
Computer Science
4 years ago

New method simplifies state estimation in nonlinear systems for improved tracking.

Particle Filtering
Inertial Navigation
SLAM
1 view
Theme background image
Computer Science
6 years ago

New Filter Technology Boosts Accuracy and Stability in Nonlinear System Estimation

Particle Filtering
Process Fault Detection
Inertial Navigation

A new filtering algorithm called SRCKF-KF was developed to improve the accuracy and efficiency of estimating the position of intelligent vehicles. By combining the Cubature Kalman Filter (CKF) and Kalman Filter (KF), this method enhances stability, accuracy, and convergence compared to other filters like EKF and UKF. The simulation and practical experiments demonstrated that the SRCKF-KF algorithm is more reliable and practical for estimating vehicle positions.