Ying Wu's repositories
CampusShame
互联网仍有记忆！那些曾经在校招过程中毁过口头offer、意向书、三方的公司！纵然人微言轻，也想尽绵薄之力！
Data-Paralle-Cpp
个人翻译《Data Parallel C++》
FAST_LIO_LC
The tight integration of FAST-LIO with Radius-Search-based loop closure module.
FAST_LIO_LOCALIZATION
A simple localization framework that can re-localize in built maps based on FAST-LIO.
FAST_LIO_SAM
Front_end : fastlio2 Back_end : lio_sam
FAST_LIO_SLAM
LiDAR SLAM = FAST-LIO + Scan Context
fusion_pointclouds
fusion_pointclouds 主要目的为Ubuntu环境下无人车多激光雷达标定之后， 将多个激光雷达点云话题/坐标系 通过PCL (Point Cloud Library)融合为 一个ros点云话题，以便于后期点云地面分割与地面处理等等。
kiss-icp
KISS-ICP: In Defense of Point-to-Point ICP – Simple, Accurate, and Robust Registration If Done in the Right Way https://www.ipb.uni-bonn.de/wp-content/papercite-data/pdf/vizzo2023ral.pdf
LIO-SAM
LIO-SAM: Tightly-coupled Lidar Inertial Odometry via Smoothing and Mapping
LIO-SAM_based_relocalization
A simple system that can relocalize a robot on a built map is developed in this system. The system is based on LIO-SAM.
Mathematics
数学知识点滴积累 矩阵 数值优化 神经网络反向传播 图优化 概率论 随机过程 卡尔曼滤波 粒子滤波 数学函数拟合
ndt_localizer
A simple, clean NDT licalization ROS package.
rs_to_velodyne
A ros tool for converting Robosense pointcloud to Velodyne pointcloud format.
S-LOAM
S-LOAM(Simple LOAM) 是一种简单易学的激光SLAM算法，整个程序只有几百行代码，十分方便学习与试验分析。
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
SJTUThesis
上海交通大学 LaTeX 论文模板 | Shanghai Jiao Tong University LaTeX Thesis Template