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
Spacecraft Dynamics and Control covers three core topic areas: the description of the motion and rates of motion of rigid bodies (Kinematics), developing the equations of motion that prediction the... more
Software development is not just about coding, it also involves the application of scientific knowledge and well-defined engineering techniques to produce maintainable, scalable, cost-effective and... more
This course is for all enthusiasts and practitioners with a genuine interest in the rapidly developing field of generative AI, which is transforming our world. The course focuses on the core... more
This course is the fourth course in a five-course Financial Reporting Specialization. This course focuses on the recognition, measurement, and subsequent accounting for equity, pensions,... more
Are you passionate about helping people change their lives with skills and jobs so they can earn a good living and feel fulfilled by the work they do? Do you want a rewarding career that advances... more
Powered by
