loser-why's starred repositories
CARLA_Self-Driving_Vehicle_Control_Project
This project aims to develop a vehicle controller to control the vehicle in CARLA simulator to follow a race track by navigating through preset waypoints.
Vehicle_Controller_Design_Project
This project aims to design a LQR controller to control a car following a trajectory as accurate and fast as possible
KinematicBicycleModel
Python description of the Kinematic Bicycle Model with an animated example.
Carla_iLQR_MPC
Implementation of the real-time MPC based on iLQR in Carla simulator
genesis_path_follower
MPC Path Follower for the Hyundai Genesis.
DDPG-Keras-Torcs
Using Keras and Deep Deterministic Policy Gradient to play TORCS
MPC_Project
Matlab code and report for the project of the course ME-425 at EPFö
stable-baselines3
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
EECS561_DigitalControls_Project
Our team proposes to control an autonomous vehicle modeled by the bicycle model. The objective is to track a pre-defined racetrack whose Cartesian coordinates are known. We are planning to generate a trajectory by using discrete time MPC given the initial states such that it lies between the left border and the right border of the track and reaches the specified end position. The lateral tracking error that we hope our controller will handle is +/- 2m.
Rocket_Landing_Simulation_MPC
Simulated a rocket landing on Mars by implementing Model Predictive Control (MPC) with reference tracking
Model-Predictive-Control
Model predictive control (MPC) of an autonomous vehilcle for lane tracking and obstacle avoidance with ACADO toolkit
UncertaintyNN
Implementation and evaluation of different approaches to get uncertainty in neural networks
HeteroscedasticDropoutUncertainty
Demos demonstrating the difference between homoscedastic and heteroscedastic regression with dropout uncertainty.