Multirotor Flight System Employing Linear Quadratic Guassian Control For Mulitirotor UAVs.
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Updated
Sep 19, 2021 - C++
Multirotor Flight System Employing Linear Quadratic Guassian Control For Mulitirotor UAVs.
Udacity CarND Model Predictive Control Project
C++ Model Predictive Control simulator on Finite Step-Response Models
A collection of tools for path tracking control
An implementation of a Model Predictive Control to drive the car around the track
Term 2, Project 10 - Udacity Self Driving Car Nanodegre
[Udacity] Projects for Self-Driving Cars Nanodegree by Udacity
Model predictive controller with serial port interface. Arduino <-> RPi serial communication. Developed for CMU's 24-774 ACSI course final project.
CarND Term 2 Model Predictive Control (MPC) Project
Model Predictive Controller Project for the Self-driving Cars Nanodegree.
CarND Term 2 Model Predictive Control (MPC) Project
Successfully navigate a vehicle safely and smoothly through a track in simulator using MPC
This project is to use Model Predictive Control (MPC) to drive a car in a game simulator. The server provides reference waypoints (yellow line in the demo video) via websocket, and we use MPC to compute steering and throttle commands to drive the car. The solution must be robust to 100ms latency, since it might encounter in real-world application.
EagleMPC-ROS contains several packages to run EagleMPC within a ROS environment
The main goal of the project is to implement in C++ Model Predictive Control to drive the vehicle around the simulator track.
Model Predictive Control for Trajectory Tracking of Self Driving Car
C++ wrapper to dynamically run C code generated by ACADOS
🏎️ Model Predictive Control (MPC) Project using C++, Eigen, Ipopt and CppAD for the Self-Driving Car Nanodegree at Udacity
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