Robust Navigation for Autonomous Driving Sensor Networks Based on Variational Bayesian Cubature Kalman Filter

Key Points

• This research aims to enhance navigation strategies for autonomous driving using advanced filtering techniques.
• Utilized a variational Bayesian approach
• Implemented a Cubature Kalman Filter for navigation tasks
• Evaluated performance in sensor network scenarios
• Achieved significant improvements in navigation accuracy
• Reduced computational complexity compared to traditional methods
• Demonstrated robustness in diverse environmental conditions