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acados

Fast and embedded solvers for nonlinear optimal control

apollo

An open autonomous driving platform

apollo-note

Note for Apollo 3.0 perception, prediction and planning modules

awesome-carla

👉 CARLA resources such as tutorial, blog, code and etc https://github.com/carla-simulator/carla

awesome-cpp

A curated list of awesome C++ (or C) frameworks, libraries, resources, and shiny things. Inspired by awesome-... stuff.

awesome-interaction-aware-trajectory-prediction

A selection of state-of-the-art research materials on trajectory prediction

baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

behavior-planner

Implementation of behavior planning module using FSM with spline based path planning

c-plus-plus

All Algorithms implemented in C++

can_commander

CAN Commander is a comprehensive tool designed for the reverse engineering of CAN (Controller Area Network) bus systems. This project aims to provide a robust platform for automotive enthusiasts, engineers, and security researchers to interact with and analyze CAN networks, facilitating a deeper understanding and manipulation of communication.

can_reverse_engineering

Automated Payload Reverse Engineering Pipeline for the Controller Area Network (CAN) protocol

carla_ray_rlib

Carla-Simulator environment compatible with Ray/Rllib

carma-platform

CARMA Platform is built on robot operating system (ROS) and utilizes open source software (OSS) that enables Cooperative Driving Automation (CDA) features to allow Automated Driving Systems to interact and cooperate with infrastructure and other vehicles through communication.

carnd-behavioral-cloning-p3

Starting files for the Udacity CarND Behavioral Cloning Project

carnd-extended-kalman-filter-project

Self-Driving Car Nanodegree Program Starter Code for the Extended Kalman Filter Project

carnd-lenet-lab

Implement the LeNet deep neural network model with TensorFlow.

carnd-mpc-quizzes

CarND MPC Quizzes

carnd-path-planning-project

Create a path planner that is able to navigate a car safely around a virtual highway

casadi

CasADi is a symbolic framework for numeric optimization implementing automatic differentiation in forward and reverse modes on sparse matrix-valued computational graphs. It supports self-contained C-code generation and interfaces state-of-the-art codes such as SUNDIALS, IPOPT etc. It can be used from C++, Python or Matlab/Octave.

control-systems-i-2018

Official control systems I repository - materials, tutorials and links

cs-notes

:books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计、Java、Python、C++

cvxpy

A Python-embedded modeling language for convex optimization problems.

d2l-zh

《动手学深度学习》：面向中文读者、能运行、可讨论。英文版即伯克利“深度学习导论”教材。

dragonfly

An open source python library for scalable Bayesian optimisation.

error-state-extended-kalman-filter

Vehicle State Estimation using Error-State Extended Kalman Filter

fsd-resources

gaussian-process-based-model-predictive-control

Project for the course "Statistical Learning and Stochastic Control" at University of Stuttgart

genesis_path_follower

MPC Path Follower for the Hyundai Genesis.

global_racetrajectory_optimization

This repository contains multiple approaches for generating global racetrajectories.

gp-mpc

MPC with Gaussian Process