Robust Stereo Visual Inertial Odometry for Fast Autonomous Flight

Testing Kalman Filter for GPS data

Real-time 3D Reconstruction with Semantic Segmentation

Semantic Mapping with Data Associated Recurrent Neural Networks

Some Python Implementations of the Kalman Filter

Sensor fusion calculating yaw, pitch and roll from the outputs of motion tracking devices

Multiple object tracking using Kalman Filter and Hungarian Algorithm - OpenCV

Object (e.g Pedestrian, vehicles) tracking by Extended Kalman Filter (EKF), with fused data from both lidar and radar sensors.

Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filte…

An extended Kalman Filter implementation in C++ for fusing lidar and radar sensor measurements.

A simple Matlab example of sensor fusion using a Kalman filter