Learning-Based Vehicle State Estimation Using Gaussian Process Regression Combined with Extended Kalman Filter

Engineering

• Confidence Interval 16%
• Dynamic Models 16%
• Estimation Error 16%
• Estimation Result 16%
• Extended Kalman Filter 100%
• Gaussians 100%
• Machine Learning Technique 16%
• Model Uncertainty 16%
• Prediction Error 16%
• Real Vehicle 16%
• State Estimation 100%
• Test Method 16%

Computer Science

• And-States 16%
• Estimation Error 16%
• Extended Kalman Filter 100%
• Machine Learning Technique 16%
• Model Uncertainty 16%
• Operating Condition 33%
• Prediction Model 16%
• State Estimation 100%
• Theoretical Framework 16%

Chemical Engineering

• Learning System 100%