This project implements an Unscented Kalman Filter to estimate the state of multiple cars on a highway using noisy lidar and radar measurements. We'll then evaluate the quality of our filter using ...

We created this for our lab at Embry-Riddle Aeronautical University, the Space Robotics and Generative Estimation (SRGE) Lab. The theoretical content is largely based on the book Optimal State ...

If we are hiring someone such as a carpenter or an auto mechanic, we always look for two things: what kind of tools they have and what they do when things go wrong. For many types of embedded systems, ...

This course introduces the Kalman filter as a method that can solve problems related to estimating the hidden internal state of a dynamic system. It develops the background theoretical topics in state ...

Kalman filter models based on the assumption of multivariate Gaussian distributions are known to be nonrobust. This means that when a large discrepancy arises between the prior distribution and the ...

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 ...

Abstract: The uncertain nature and variability in solar power generation requires the development of methods to further improve the solar forecasting, specifically in very short term to drive the ...

The final, formatted version of the article will be published soon. An alternative, new laser link acquisition scheme for the triangular constellation of spacecraft (SCs) in deep space in the ...