Robocentric Visual-Inertial Odometry
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Updated
Apr 23, 2023 - C++
Robocentric Visual-Inertial Odometry
An extended Kalman Filter implementation in C++ for fusing lidar and radar sensor measurements.
Kalman filter sanctuary - including continuous-discrete extended Kalman filter. Bring additional filters here for a bigger collection.
Kalman Filter
Real-time Optical Flow-aided 6D Object Pose and Velocity Tracking
Kalman Filter for Pose estimation using Lie Algebra
Kalman filters - linear and nonlinear (unscented, cubature, square root and hybride versions)
Kalman Filter Compressive Tracking
Sensor fusion with Extended Kalman Filters using Lidar and Radar sensors
Header-only Bayes Filters Library
Udacity: Self-Driving Car Engineer Nanodegree | Project: Extended Kalman Filter
GStreamer Kalman Filter Video Plugin
C++ implementation of the Quaternion Multiplicative Extended Kalman Filter (Q-MEKF).
There is a geographical recalibration to be executed by GPS and IMU with a simple Kalman filter on a UNO/Due Arduino board.
Implments LQR and LQG Control Algorithms
Kalman Filter Algorithm for apogee detection
Unscented Kalman Filter for highway survailance. Tracks position and time for nonlinear motion.
Here we will experiment with Extended Kalman Filter Localization packages in ROS
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