Collection of C++ based algorithms on numerics, statistics, control, reinforcement learning, machine learning and robotics
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Updated
Nov 4, 2021 - C++
Collection of C++ based algorithms on numerics, statistics, control, reinforcement learning, machine learning and robotics
Probabilistic Motion Modeling Algorithm for Skid Steered Mobile Robots
Self-Driving Car Nanodegree Program Starter Code for the Extended Kalman Filter Project
Extended Kalman Filter for self-driving cars with noisy LIDAR and RADAR measuremets in c++
Kalman filter to estimate the state of a moving object of interest with noisy Lidar and Radar measurements.
Extended Kalman Filter Project for Self-Driving Car ND
Part I : 3D Object Detection with Waymo Dataset and Complex YOLO; Part II: Sensor Fusion(camera and lidar) using EKF and tracking
Implementation of ROS Navigation Stack
Implementation of the Extended Kalman Filter in C++
A collection of embedded PID (Proportional – Integral – Derivative) controller tuning methods.
Case study project for Automated Driving
Exercises on Waymo Open Dataset Visualization, Object Detection, Extended Kalman Filter and Multi Target Tracking for Course 2 of the Udacity Self-Driving Car Engineer Nanodegree Program
The fifth project in the Udacity Self-Driving Car Engineer Nanodegree: using an extended Kalman filter in C++ to estimate pedestrian pose and trajectory
Simple data assimilation studies
Submission for EKF Project
Utilized a Kalman Filter to estimate the state of a moving object of interest with noise
Experiments for online learning and data assimilation for time series data.
Implement Extended Kalman filter in C++ , that merges noisy simulated radar and lidar data to track a vehicle.
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