In this project you will implement an Unscented Kalman Filter to estimate the state of multiple cars on a highway using noisy lidar and radar measurements. Passing the project requires obtaining RMSE ...

Abstract: Ultrashort baseline (USBL) systems are susceptible to installation errors that necessitate accurate calibration before deployment. In this article, we propose an innovative calibration ...

Abstract: With the development of industrial technology and the improvement of automation level of industrial production, automatic recognition and prediction has gradually become another key issue in ...

Detects bicycles in video frames using a YOLO model. Tracks the detected bicycle using Kalman Filter or Unscented Kalman Filter. Visualizes tracking results frame-by-frame.

As a follow-on course to "Linear Kalman Filter Deep Dive", this course derives the steps of the extended Kalman filter and the sigma-point Kalman filter for estimating the state of nonlinear dynamic ...