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FILTERING_wrapup
- Class notes • 24 pages • 2020
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- $8.86
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These notes have been taken during the course of Probabilistic Robotics @ University La Sapienza Roma during 2019 year. In particular this resume is focused on the first part of the course which is filtering. Here it's described how to get Kalman Filters (KF,EKF,UKF) and Particle filter. Notes have been also integrated with external sources.
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FILTERING_wrapup
- Study guide • 24 pages • 2020
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- $8.86
- + learn more
These notes have been taken during Probabilistic Robotics course in Sapienza University during 2019 year. In this document i focused on filtering part which it's composed by Gaussian Distributions, Kalman FIlter (EKF) , Unscented transform (UKF) and Particle Filter. Notes have been also integrated with external considerations and resources giving this document a very complete view on this part of the course.
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