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sensor-fusion
2 free lessons tagged sensor-fusion across Robotics. Each one is a short sequence of focused steps with narration and a five-question quiz at the end — take them in any order, no signup required.
Robotics
advancedThe Kalman filter: optimal state estimation from noisy measurements
How the Kalman filter fuses a motion model with noisy measurements by carrying a Gaussian belief, growing uncertainty on predict and shrinking it on update, weighting the two by the Kalman gain, plus the EKF and UKF for nonlinear systems.
12 steps·~18 min
Robotics
advancedThe Kalman Filter
Fuse noisy sensors over time with provably optimal estimates. Covers the state and noise model, predict and update equations with the Kalman gain, why it's optimal for linear-Gaussian systems, and the Extended KF for nonlinear robots.
9 steps·~14 min