Скачать с ютуб Understanding the Particle Filter | | Autonomous Navigation, Part 2 в хорошем качестве

Understanding the Particle Filter | | Autonomous Navigation, Part 2

Watch the first video in this series here:    • What Is Autonomous Navigation? | Auto...   This video presents a high-level understanding of the particle filter and shows how it can be used in Monte Carlo localization to determine the pose of a mobile robot inside a building. We’ll cover why the particle filter is better suited for this type of problem than the traditional Kalman filter because of its ability to handle non-Gaussian probability distributions. Additional Resources: - More details on dead reckoning, MATLAB Tech Talk video: https://bit.ly/37T9BRT - Understanding the Kalman Filter, MATLAB Tech Talk Series: https://bit.ly/314rLia - Another good description of the particle filter:    • Particle Filter Explained without Equ...   - Download ebook: Sensor Fusion and Tracking for Autonomous Systems: An Overview - https://bit.ly/2YZxvXA - Download white paper: Sensor Fusion and Tracking for Autonomous Systems - https://bit.ly/2YZxvXA - A Tutorial on Particle Filtering and Smoothing (includes AMCL). Paper by Doucet and Johansen: https://www.stats.ox.ac.uk/~doucet/do... -------------------------------------------------------------------------------------------------------- Get a free product trial: https://goo.gl/ZHFb5u Learn more about MATLAB: https://goo.gl/8QV7ZZ Learn more about Simulink: https://goo.gl/nqnbLe See what's new in MATLAB and Simulink: https://goo.gl/pgGtod © 2020 The MathWorks, Inc. MATLAB and Simulink are registered trademarks of The MathWorks, Inc. See www.mathworks.com/trademarks for a list of additional trademarks. Other product or brand names may be trademarks or registered trademarks of their respective holders.