Adaptive Robust Federal Kalman Filter for Multisensor Fusion Positioning Systems of Intelligent Vehicles
Author:
Affiliation:
1. Department of Vehicle Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China
2. Xugong Automobile Manufacturing Company Ltd., Xuzhou, China
Funder
National Science Foundation of China
Jiangsu Outstanding Youth Fund Project
Jiangsu Key Research and Development Plan
Postgraduate Research and Practice Innovation Program of Jiangsu Province
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx7/7361/10530892/10494220.pdf?arnumber=10494220
Reference32 articles.
1. G-VIDO: A Vehicle Dynamics and Intermittent GNSS-Aided Visual-Inertial State Estimator for Autonomous Driving
2. A Reliable Fusion Positioning Strategy for Land Vehicles in GPS-Denied Environments Based on Low-Cost Sensors
3. Real-Time Performance-Focused Localization Techniques for Autonomous Vehicle: A Review
4. Integrated cooperative localization for Vehicular networks with partial GPS access in Urban Canyons
5. Enhancing navigation integrity for Urban Air Mobility with redundant inertial sensors
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