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acado

ACADO Toolkit is a software environment and algorithm collection for automatic control and dynamic optimization. It provides a general framework for using a great variety of algorithms for direct optimal control, including model predictive control, state and parameter estimation and robust optimization.

algorithmdiagram

算法图解的算法代码示例，用Python和Java实现，后期会加入其它语言

algorithmtrain

本仓库对A star算法进行了复现。使用matlab对一些路径规划算法进行复现，包括基于图搜索和基于优化的方法

apollo

An open autonomous driving platform

apollo-5.0

Fork of Apollo 5.0 for LGSVL Simulator

apollo-note

Note for Apollo 3.0 perception, prediction and planning modules

arastar

Anytime repairing A* algorithm.

automated-driving-control

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

autoware

Open-Source To Self-Driving.

autoware_ai_planning

awesome-self-driving-car

An awesome list of self-driving cars

books

技术资料分享

c_plus_base

ceres

对ceres库里面所有example的复现并注释

ceres_python_bindings

Python Bindings for the Ceres library using Pybind11.

ceressamples

Sample codes for Ceres optimizer developed by Google

cmake_cpp_pybind11_tutorial

Tutorial for wrapping C++ library into Python using pybind11 and CMake

constrained_ilqr

cpprobotics

cpp implementation of robotics algorithms including localization, mapping, SLAM, path planning and control

cs-books

📚 Computer Science Books 计算机技术类书籍 PDF

cubic-spline-interpolation

Cubic Spline Interpolation provides numeric computing formula to interpolate curve. This source code was designed to draw a 3D curve. If you have any question or optimized idea, welcome to contact me.

deeprl

Highly modularized implementation of popular deep RL algorithms by PyTorch

dig-into-apollo

Apollo notes (Apollo学习笔记) - Apollo learning notes for beginners.

edge_alignment

Ros package for Edge Alignment with Ceres solver

fuzzy-control

New code for the fuzzy control module.

fuzzy-controller

This fuzzy controller is based on C++. You can use triangle membership function or Gauss membership function or Trapezoid membership function to fuzzification the input error and error ratio, and it uses Madanni model to defuzzification . In the main function we have implemented one example which set target to 60 to verify the efficiency of this fuzzy controller, the result has proved that it does work well. If you have any questions about this, don't bother to contact me, My email address is [email protected]

fuzzy-pid-controller

This repository uses C++ to implement a fuzzy PID controller to automatically tune PID parameters Kp,Ki and Kd.

h-obca

Hierarchical Optimization-Based Collision Avoidance - a path planner for autonomous parking

highway-env

A minimalist environment for decision-making in autonomous driving