Udacity Self-Driving Car Engineer Nanodegree projects.
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Updated
Mar 28, 2023 - C++
Udacity Self-Driving Car Engineer Nanodegree projects.
Multiple Object Tracker, Based on Hungarian algorithm + Kalman filter.
solution of exercises of the book "probabilistic robotics"
Unscented Kalman Filter library for state and parameter estimation
IMU - FreeIMU Library Zero Drift, Altitude & LSM303 Heading Stability
Fusing GPS, IMU and Encoder sensors for accurate state estimation.
An unscented Kalman Filter implementation for fusing lidar and radar sensor measurements.
Kalman filter, sensor fusion
LiDAR SLAM = FAST-LIO + Scan Context
Loosely coupled integration of GNSS and IMU
Repository for Eye Gaze Detection and Tracking
An extended Kalman Filter implementation in C++ for fusing lidar and radar sensor measurements.
Filters: KF, EKF, UKF || Process Models: CV, CTRV || Measurement Models: Radar, Lidar
A real-time, direct and tightly-coupled LiDAR-Inertial SLAM for high velocities with spinning LiDARs
real time video stabilization using Kalman Filter
A compact realtime embedded Attitude and Heading Reference System (AHRS) using Recursive Least Squares (RLS) for magnetometer calibration and EKF/UKF for sensor fusion on Arduino platform
A small collection of Kalman Filters on Lie groups
A flexible, modern, C++ recursive Bayesian estimation library.
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