Pandas中文教程

A C++ High Performance Web Server

C++11/14/17/20 multithreading, involving operating system principles and concurrent programming technology.

A quasi Hybrid A* method is introduced for motion planning of autonomous driving car, based on MPC and Bezier spline

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

一步步实现简易红白机模拟器运行超级玛丽，以https://github.com/amhndu/SimpleNES 为模板

State Lattice Planner for maneuvering through dynamic environments

Create a path planner to safely drive a car on a 3 lane highway and pass slow cars

Hybrid A Star Trajectory Planning in multi-vehicle cooperative planning in narrow free space.

The lattice_planner package provides a move_base global planner plugin for a time-bounded A* lattice planner. The planner is designed to plan time dependent, dynamically feasible navigation paths f…

This submission contains a model to show the implementation of MPC on a vehicle moving in a US Highway scene.

Coursera Open Courses from University of Toronto

Common used path planning algorithms with animations.

Common used path planning algorithms with animations.

Implementation of a rapidly expanding random trees algorithm for ROS (Robot Operating System).

ROS package for a 2D path planner using the Rapidly Exploring Random Trees (RRT) algorithm

🌱Light and powerful C++ web framework for highly scalable and resource-efficient web application. It's zero-dependency and easy-portable.

小学期，机器人学强化训练，适用动态避障，采用算法为RRT做全局规划，人工势场法作为局部规划。

n-dimensional RRT, RRT* (RRT-Star)

Python sample codes for robotics algorithms.

Multiple robots layered path planning algorithm implemented as a ROS node to control a swarm of nano quadrotors, Crazyflies 2.X, with real-time obstacle avoidance.

Robot path planning, mapping and exploration algorithms

Model predictive control python toolbox

Model predictive control python toolbox

📚 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

《Effective Modern C++》- 完成翻译

This repo holds the Simulink/CarSim codes for examples of Self-driving Vehicles and Model Predictive Contorl (2ed edition).