Monte Carlo Localization
Concept
A probabilistic approach to localization that uses random sampling, with particle filters being a key implementation.
Mentioned in 2 videos
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Videos Mentioning Monte Carlo Localization
Stanford AA274A Principles of Robotic Autonomy | Autumn 2019 | EKF Localization
Stanford Online
A probabilistic approach to localization that uses random sampling, with particle filters being a key implementation.
Stanford AA274A Principles of Robotic Autonomy | Autumn 2019 | Extra Session - Particle Filter SLAM
Stanford Online
A method for robot localization that uses particle filters and resampling, serving as a basis for understanding steps in Particle Filter SLAM.