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Dynamics, MPC, LQR, etc. One repo to rule them all.
iterative Linear Quadratic Regulator with constraints.
Iterative Linear Quadratic Regulator with auto-differentiatiable dynamics models
awesome-autonomous-driving
《剑指 Offer》 Python, Java, C++ 解题代码，LeetBook《图解算法数据结构》配套代码仓
《Hello 算法》：动画图解、一键运行的数据结构与算法教程。支持 Python, Java, C++, C, C#, JS, Go, Swift, Rust, Ruby, Kotlin, TS, Dart 代码。简体版和繁体版同步更新，English version ongoing
Optimization-Based Collision Avoidance - a path planner for autonomous navigation
This mini project implements a modified version of CILQR presented by "Chen, J., Zhan, W., & Tomizuka, M. (2017, October). Constrained iterative lqr for on-road autonomous driving motion planning. …
This repository provide the simulation code and the raw data for the risk-aware decision-making in human-robot collaborative search application.
Introduction to the paper "Efficient Speed Planning for Autonomous Driving in Dynamic Environment with Interaction Point Model"
Path planning for autonomous vehicles using constrained iLQR.
Optimization-based real-time path planning for vehicles.
A demo of iLQG/DDP with car-parking dynamics
Simulation of path planning for self-driving vehicles in Unity. This is also an implementation of the Hybrid A* pathfinding algorithm which is useful if you are interested in pathfinding for vehicles.
Auto-parking in reinforcement learning
Car orientation detection and reinforcement learning parking
We use hybrid a star and optimization-based method for trajectory planning of the autonomous vehicle parking
Path Planning Based On Hybrid A Star
Python implementation of an automatic parallel parking system in a virtual environment, including path planning, path tracking, and parallel parking
自动泊车算法 混合A* 障碍物约束转化为行车走廊约束的优化与 apollo TDR-OBCA的比较
Hybrid A* Path Planner for the KTH Research Concept Vehicle