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    Advanced Kalman Filtering and Sensor Fusion

    BY
    Udemy

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    Mode

    Online

    Fees

    ₹ 3099

    Quick Facts

    particular details
    Medium of instructions English
    Mode of learning Self study
    Mode of Delivery Video and Text Based

    Course and certificate fees

    Fees information
    ₹ 3,099
    certificate availability

    Yes

    certificate providing authority

    Udemy

    The syllabus

    Welcome

    • Welcome to the Course
    • Course Outline
    • Setting Up C++ Development Environment
    • Setting Up C++ Simulation
    • C++ Simulation Readme
    • Course Resources

    Introduction

    • What is Sensor Fusion
    • How Does Sensor Fusion Work
    • How Does Sensor Fusion Work Notes
    • What is the Kalman Filter
    • What is the Kalman Filter Notes
    • Types of Kalman Filters
    • Types of Kalman Filters Notes
    • Learning Roadmap
    • Simulation Overview

    Background Theory

    • Section Outline
    • Basic Probability
    • Basic Probability Quiz
    • Probability Density Functions
    • Probability Density Functions Quiz
    • Multivariate Probability
    • Multivariate Probability Quiz
    • Gaussian Probability Density Functions
    • Gaussian Probability Density Functions Quiz
    • Linear Transformation of Uncertainties
    • Linear Transformation of Uncertainties Quiz
    • Differential Equations
    • State Space Representation
    • Continuous and Discrete Time
    • Mathematical Models
    • Discrete Time Conversions
    • Probability and Estimation

    Linear Kalman Filter

    • How Does the Kalman Filter Work
    • Simulation Framework
    • Process Model
    • Kalman Filter Prediction Step
    • Kalman Filter Prediction Step Implementation
    • Kalman Filter Prediction Step Explanation
    • Kalman Filter Update Step
    • Kalman Filter Update Step Implementation
    • Kalman Filter Update Step Explanation
    • Kalman Filter Initial Conditions
    • Kalman Filter Summary

    Extended Kalman Filter

    • What is the Extended Kalman Filter
    • EKF Simulation Framework
    • 2D Vehicle Process Model
    • EKF Prediction Step (Summary)
    • What are Jacobians
    • EKF Prediction Step (Derivation)
    • EKF Prediction Step (Example)
    • EKF 2D Vehicle Filter Prediction Step
    • EKF 2D Vehicle Filter Prediction Step Explanation
    • Lidar Measurement Model
    • EKF Measurement Innovation (Summary)
    • EKF Measurement Innovation (Derivation)
    • EKF Measurement Innovation (Example)
    • EKF Update Step (Summary)
    • EKF Update Step (Derivation)
    • EKF Update Step (Example)
    • EKF 2D Vehicle Filter Update Step
    • EKF 2D Vehicle Filter Update Step Explanation
    • Numerical Jacobian Calculation
    • Numerical Jacobian Calculation Example
    • EKF Understanding and Insights
    • Extended Kalman Filter Summary

    Unscented Kalman Filter

    • What is the Unscented Kalman Filter
    • Unscented Transformation
    • UKF Simulation Framework
    • UKF Prediction Step (Summary)
    • Matrix Square Root
    • UKF 2D Vehicle Filter Prediction Step
    • UKF 2D Vehicle Filter Prediction Step Explanation
    • UKF Measurement Innovation (Summary)
    • UKF Update Step (Summary)
    • UKF Update Step (Derivation)
    • UKF 2D Vehicle Filter Update Step
    • UKF 2D Vehicle Filter Update Step Explanation
    • Unscented Kalman Filter Summary

    Filtering in the Real World

    • Sensor Models and Errors
    • Dealing with Faulty Data
    • Dealing with Sensor Biases
    • Dealing with Initial Conditions

    Capstone Project

    • Project Overview
    • Project Details and Framework
    • Project Hints

    Conclusion

    • Summary
    • Bonus

    Instructors

    Mr Steven Dumble

    Mr Steven Dumble
    Aerospace Engineer
    Freelancer

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