Use when fusing noisy sensors (IMU, GPS, wheel odometry, vision) into a state estimate, implementing or debugging a Kalman filter / EKF / UKF, tuning Q and R covariances, or configuring robot_localization in ROS2. Provides the math, worked examples, tuning methodology, and production failure modes.
Use when fusing noisy sensors (IMU, GPS, wheel odometry, vision) into a state estimate, implementing or debugging a Kalman filter / EKF / UKF, tuning Q and R covariances, or configuring robot_localization in ROS2. Provides the math, worked examples, tuning methodology, and production failure modes.