xlan09's repositories
How_to_optimize_in_GPU_CUDA
This is a series of GPU optimization topics. Here we will introduce how to optimize the CUDA kernel in detail. I will introduce several basic kernel optimizations, including: elementwise, reduce, sgemv, sgemm, etc. The performance of these kernels is basically at or near the theoretical limit.
awesome-system-design-resources
This repository contains System Design resources which are useful while preparing for interviews and learning Distributed Systems
cmake-examples
Useful CMake Examples
CMakeTutorial
CMake中文实战教程
CPlusPlusThings
C++那些事
Cpp-CplusPlus-Cuda-Cmake
学习C & C++ & python&汇编语言 LLVM编译器 数据结构 算法 操作系统 单片机 linux 面试
cuda_course
高性能并行编程与优化 - 课件
cupoch-cuda
Robotics with GPU computing
CV_Notes
「3D视觉(三维重建、SLAM、AR/VR) + 传统图像处理 + 计算机视觉(偏AI) 」重要知识点和面试问题。
Eigen-Cheatsheet
A cheatsheet of Eigen, the C++ linear algebra library.
Fast-Planner
A Robust and Efficient Trajectory Planner for Quadrotors
hdl_graph_slam
3D LIDAR-based Graph SLAM
li_slam_ros2_LIO
ROS2 package of tightly-coupled lidar inertial ndt/gicp slam referenced from LIO-SAM
lili-om-LIO-LOAM
LiLi-OM is a tightly-coupled, keyframe-based LiDAR-inertial odometry and mapping system for both solid-state-LiDAR and conventional LiDARs.
LIO-SAM-LOAM
LIO-SAM: Tightly-coupled Lidar Inertial Odometry via Smoothing and Mapping
mader-mpc-MAPF
Trajectory Planner in Multi-Agent and Dynamic Environments
MAPF-LNS
Anytime Multi-Agent Path Finding via Large-Neighborhood Search
modern-cpp-features
A cheatsheet of modern C++ language and library features.
modern-cpp-new-features
2021年最新整理， C++ 学习资料，含C++ 11 / 14 / 17 / 20 / 23 新特性、入门教程、推荐书籍、优质文章、学习笔记、教学视频等
multi_agent_path_planning-MAPF
This repository consists of the Python implementation of a few multi-robot path-planning algorithms.
MultiRobotPathFinding-CL-CBS
An Efficient Multi-Agent Path Finding Solver for Car-Like Robots
opensource_slam_noted
open source slam system notes
robot_navigation
Spiritual successor to ros-planning/navigation.
SC-LIO-SAM-LOAM
LiDAR-inertial SLAM: Scan Context + LIO-SAM
scancontext-LOAM
Global LiDAR descriptor for place recognition and long-term localization
tare_planner_motion_primitive_zhangji
TARE Exploration Planner for Ground Vehicles