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Yongyu Chen's Projects

gerona icon gerona

GeRoNa (Generic Robot Navigation) is a modular robot navigation framework, that bundles path planning and path following (including obstacle detection) and manages communication between the individual modules. It is designed to be easily extensible for new tasks and robot models.

gnss-ins-sim icon gnss-ins-sim

Open-source GNSS + inertial navigation, sensor fusion simulator. Motion trajectory generator, sensor models, and navigation

grid_map icon grid_map

Universal grid map library for mobile robotic mapping

gym icon gym

A toolkit for developing and comparing reinforcement learning algorithms.

h-obca icon h-obca

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

hello-algorithm icon hello-algorithm

🙈🙉🙊 本项目包括:1、我写的三十万字图解算法题典 2、100 张 IT 相关超清思维导图 3、100 篇大厂面经汇总 4、各语言编程电子书 100 本 5、English version supported !!! 🚀🚀 国人项目上榜首不易,右上角助力一波!干就对了,奥利给 !🚀🚀

highway-env icon highway-env

An environment for autonomous driving decision-making

hpipm icon hpipm

High-performance interior-point-method QP solvers

hpmpc icon hpmpc

Library for High-Performance implementation of solvers for MPC.

hybrid_astar icon hybrid_astar

The Hybrid A* Path Planner - Adapted to CARMEN Framework

hypharos_minicar icon hypharos_minicar

1/20 MiniCar: An ackermann based rover for MPC and Pure-Pursuit controller

identify icon identify

C++ library for identification prodedures

ifopt icon ifopt

An Eigen-based, light-weight C++ Interface to Nonlinear Programming Solvers (Ipopt, Snopt)

imylu icon imylu

Pure Python implementation of machine learning algorithms

iosfl icon iosfl

A ROS package that implement Input/Output State Feedback Linearization for a differential drive mobile robot

ipopteigwrap icon ipopteigwrap

Wrappers for using the optimization library IpOpt with Eigen vectors and matrices.

kalman icon kalman

Some Python Implementations of the Kalman Filter

kalman-and-bayesian-filters-in-python icon kalman-and-bayesian-filters-in-python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

kdtree icon kdtree

A simple C library for working with KD-Trees

kfr icon kfr

Fast, modern C++ DSP framework, FFT, Sample Rate Conversion, FIR/IIR/Biquad Filters (SSE, AVX, AVX-512, ARM NEON)

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