Kalman Filter
A filtering technique used in the localization and mapping module.
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Videos Mentioning Kalman Filter
Stanford AA274A Principles of Robotic Autonomy | Autumn 2019 | Parametric Filtering
Stanford Online
A widely influential filter, introduced in the 1950s, for estimating the state of a system from a series of measurements that are imperfect or noisy. It relies on linear system dynamics and Gaussian noise.
Stanford AA274A Principles of Robotic Autonomy | Autumn 2019 | Overview, Mobile Robot Kinematics
Stanford Online
A filtering technique used in the localization and mapping module.
Stanford AA274A Principles of Robotic Autonomy | Autumn 2019 | EKF Localization
Stanford Online
A foundational algorithm for state estimation, which the EKF extends for non-linear systems.
Stanford AA274A Principles of Robotic Autonomy | Autumn 2019 | Multi-Sensor Fusion
Stanford Online
A widely used algorithm for state estimation and data fusion, based on Bayesian principles, which iteratively predicts and corrects estimates using sensor measurements.