A sensor fusion is implemented to estimate the state of a moving object with lidar and radar measurements. A linear kalman filter handles the lidar inputs, and an extended kalman filter (EKF) is used ...

This repository is part of a thesis I co-authored, and the implementation of the Kalman filter was developed by me. Feel free to reach out with any questions about this filter. I primarily referred to ...

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, ...

If you program using values that represent anything in the real world, you have probably at least heard of the Kalman filter. The filter allows you to take multiple value estimates and process them ...

This is an expository article that develops the Kalman filter from a Cholesky factorization perspective. In particular, the Kalman filter is shown to be a modification of the Cholesky factorization ...

Abstract: Vehicle stability control is a crucial function for vehicle safety, requiring various dynamic parameters for effective control. Among these, the sideslip angle is particularly important for ...

Abstract: The steer-by-wire (SBW) system is susceptible to parameter perturbations due to external disturbances under complex and variable conditions, leading to unstable performance. To address this ...