Linear Kalman Filter Deep Dive (and Target Tracking)
About this Course
As a follow-on course to \"Kalman Filter Boot Camp\", this course derives the steps of the linear Kalman filter to give understanding regarding how to adjust the method to applications that violate the standard assumptions. Applies this understanding to enhancing the robustness of the filter and to extend to applications including prediction and smoothing. Shows how to implement a target-tracking application in Octave code using an interacting multiple-model Kalman filter.Created by: University of Colorado System
Related Online Courses
This five-course specialization is designed for beginners looking to break into the tech industry as a frontend developer. It covers essential topics such as HTML, CSS, JavaScript, React, and UI... more
This course will cover the basic elements of designing and evaluating questionnaires. We will review the process of responding to questions, challenges and options for asking questions about... more
Learn how aeroecology, a discipline that studies airborne life forms, has been revolutionised with the use of radar with this unique course. This course is designed to help scientists, researchers... more
In this 2 hours long project you will create a business value proposition canvas in Miro, categorizing business products, services and features by company pillars, mapping customer gains, pains and... more
Welcome to the coursera guided project on using Metasploit! This comprehensive training program focuses on the key tools and techniques needed to conduct ethical hacking and penetration testing.... more