Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.
DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.
This lecture covers the Extended Kalman Filter (EKF) applied to motion prediction in 2D scenarios, focusing on the prediction and correction steps using Inertial Navigation Systems (INS) and Global Positioning Systems (GPS). The instructor explains the challenges of predicting motion in 2D environments and the mathematical solutions involved, such as solving Ordinary Differential Equations (ODE). Various perturbations and corrections are discussed, emphasizing the importance of accurate predictions for navigation applications.
This video is available exclusively on Mediaspace for a restricted audience. Please log in to MediaSpace to access it if you have the necessary permissions.
Watch on Mediaspace