A machine learning velocity estimator combined with an extended Kalman filter localizes a bulldozer from internal sensors alone, reducing average position error from 3.47 m with a kinematics EKF to 0.50 m.
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Machine Learning-Based Self-Localization Using Internal Sensors for Automating Bulldozers
A machine learning velocity estimator combined with an extended Kalman filter localizes a bulldozer from internal sensors alone, reducing average position error from 3.47 m with a kinematics EKF to 0.50 m.