Multi-Kernel Maximum Correntropy Error State Kalman Filter For LiDAR-Inertial State Estimator-Reference-Cited by-同舟云学术

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Multi-Kernel Maximum Correntropy Error State Kalman Filter For LiDAR-Inertial State Estimator

Published:2023-12-01 Issue: Volume: Page:341-346
ISSN:
Container-title:2023 5th International Conference on Robotics, Intelligent Control and Artificial Intelligence (RICAI)
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Author:

Chang Tingting¹,Zhao Liang¹,Zeng Qingxi¹

Affiliation:

1. College of Mathematics, Nanjing University of Aeronautics and Astronautics,Nanjing,China

Funder

Nanjing University of Aeronautics and Astronautics

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10488913/10488921/10489657.pdf?arnumber=10489657

Reference15 articles.

1. Robust mixture modeling using the skew t distribution

2. Error-Ellipse-Resampling-Based Particle Filtering Algorithm for Target Tracking

3. Maximum correntropy Kalman filter

4. Robust Kalman-Type Filter for Non-Gaussian Noise: Performance Analysis With Unknown Noise Covariances

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