LiYang412's repositories
apollo-trajectory-planning
decouple the trajectory planning part from the apollo v5.0 and run in ros system
ApolloAnnotation
Annotation for Apollo
AutowareArchitectureProposal.proj
This is the source code of the feasibility study for Autoware architecture proposal.
Books
书籍资料汇总
chatgpt_academic
科研工作专用ChatGPT拓展，特别优化学术Paper润色体验，支持自定义快捷按钮，支持markdown表格显示，Tex公式双显示，代码显示功能完善，新增本地Python工程剖析功能/自我剖析功能
chhRobotics
自动驾驶规划控制python代码实现
config
making coding easier for myself
control
Embedded Firmware Control Systems Toolbox (Pure C and GNU Octave)
develop
Docker based development environment for coding, building and flashing embedded firmware.
fastest-lap
Fastest-lap is a vehicle dynamics simulator. It can be used to understand vehicle dynamics, to learn about driving techniques, to design car prototypes, or just for fun!
gitahead
Understand your Git history!
GraphPlugin
Universal graph plotting plugin for Qt applications
iceoryx
Eclipse iceoryx™ - true zero-copy inter-process-communication
ikd-Tree
This repository provides implementation of an incremental k-d tree for robotic applications.
ilqgames
Iterative Linear-Quadratic Games!
IterativeLQR.jl
A Julia package for constrained iterative LQR (iLQR)
NMPC-DCLF-DCBF
A collection of work using nonlinear model predictive control (NMPC) with discrete-time control Lyapunov functions (CLFs) and control barrier functions (CBFs)
opendrive-engine
🚧 building ...
optimized_dp
Optimizing Dynamic Programming-Based Algorithms
paf22
Praktikum Autonomes Fahren 2022
paper-simulation
Let's reproduce paper simulations of multi-robot systems, formation control, distributed optimization and cooperative manipulation.
planning_controlling_simulation
a simple Apollo-based planning and controlling simulation, communicating with ROS
pwn_envs_docker
pwn envs based on docker of ubuntu16.04,18.04,20.04
sensor-fusion-for-localization-and-mapping
深蓝学院 多传感器定位融合第四期 学习笔记
ShenLanAcademy-PlanningControl
纵向控制：PID ;横向控制：Stanely \ LQR \ MPC
UniScene
Official implementation of our RAL'24 paper: Multi-Camera Unified Pre-training for Autonomous Driving