In this project I implemented Extended Kalman filter to do sensor fusion, estimate the state of a moving object of interest with noisy lidar and radar measurements. By correctly implementing sensor ...

This project implements a FastAPI-based web service that performs sensor fusion using a Kalman Filter. It fuses IMU and Odometry data to estimate the robot’s pose (x, y, theta). Designed as a backend ...

Abstract: To address the issues of noise susceptibility and insufficient accuracy in single-sensor target tracking for lowcost unmanned systems, this paper proposes a centralized fusion scheme for GPS ...

Abstract: In this paper, distributed Kalman filters are designed for a discrete and stochastic sensor network where each sensor holds a time-varying and local coordinate frame. Several stability ...