Abstract: This article investigates a novel robust Kalman filter (RKF) by incorporating kernel density estimation (KDE) in the Kalman filtering framework to address the disturbance of measurement ...
Abstract: Accurate traffic density estimation is vital for effective traffic management. Traditional methods like inductive loop detectors and radar have high costs and scalability issues. This report ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback