loser-why

apollo

An open autonomous driving platform

carla

Open-source simulator for autonomous driving research.

stable-baselines3

PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.

quadrotor

Quadrotor control, path planning and trajectory optimization

DDPG-Keras-Torcs

Using Keras and Deep Deterministic Policy Gradient to play TORCS

automated-driving-control

automatic-driving-decision-and-planning-for-matlab

hpipm

High-performance interior-point-method QP and QCQP solvers

YALMIP

MATLAB toolbox for optimization modeling

OBCA

Optimization-Based Collision Avoidance - a path planner for autonomous navigation

Carla_iLQR_MPC

Implementation of the real-time MPC based on iLQR in Carla simulator

wangzheng0822-algo

mpc

Autonomous control of an USV using Model Predictive Control

genesis_path_follower

MPC Path Follower for the Hyundai Genesis.

l2r

Open-source reinforcement learning environment for autonomous racing — featured as a conference paper at ICCV 2021 and as the official challenge tracks at both SL4AD@ICML2022 and AI4AD@IJCAI2022. These are the L2R core libraries.

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.

GPflux

Deep GPs built on top of TensorFlow/Keras and GPflow

Model-Predictive-Control

Model predictive control (MPC) of an autonomous vehilcle for lane tracking and obstacle avoidance with ACADO toolkit

cocp

Source code for the examples accompanying the paper "Learning convex optimization control policies."

KinematicBicycleModel

Python description of the Kinematic Bicycle Model with an animated example.

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

SAC-RCBF

IQCbased_ImitationLearning

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.

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.

Rocket_Landing_Simulation_MPC

Simulated a rocket landing on Mars by implementing Model Predictive Control (MPC) with reference tracking

MPC_Project

Matlab code and report for the project of the course ME-425 at EPFö

mampc

DetErrBnd