Optmized kalman filters

multivariate cauchy estimator - a new and robust bayesian state estimation algorithm

This is an open source Kalman filter C++ library based on Eigen3 library for matrix operations. The library has generic template based classes for most of Kalman filter variants including: (1) Kalman Filter, (2) Extended Kalman Filter, (3) Unscented Kalman Filter, and (4) Square-root UKF..

3D Kalman Filter - C++ Implementation

This Package is based on SORT (C++) Package

Quadrotor simulator based on Coursera Aerial Robotics course from University of Pennsylvania

Real-time object detection and tracking for autonomous driving.

Implementation of the linear Kalman filter for 2d tracking

Kalman filters - linear and nonlinear (unscented, cubature, square root and hybride versions)

Work related to my master's thesis project at Clemson University.

This software pipeline can detect and track apples in real-time in an orchard, while effectively dealing with cases of apple occlusion. Apples are detected and segmented using a deep learning based approach and are tracked in world coordinate frame using Extended Kalman Filter

Kalman Filter implementation in 3D coordinate space

Dead simple Linear Kalman Filter. Contains 2-D based tracker

Implementation of Kalman Filter for Object Tracking in 1D and 2D custom-modeled systems.

A typical object fusion C++ SDK with bazel toolchain for autonomous driving

Kalman filter implementation and design

Linear, Extended & Unscented Kalman filter Fusion Models for 2D tracking

Interactive and real time 2D simulation of the Kalman Filter in use to reduce statistical input noise.

PixoCube is a digital version of photo cubes that people usually gift others. It is basically a 3D cube with different images consisting of different sides of the cube. The interesting part of this project is I used concepts of camera projection and only opencv functions to render the cube. Moreover the camera view point is rendered such that it…