yucong lin's repositories
Exercises-Solutions-of-State-Estimation-for-Robotics
I provided my own solutions to the exercises of the State Estimation for Robotics book.
APIBook
API DESIGN FOR C++
CS231n-2021spring
【更新完毕】斯坦福大学计算机视觉经典课程CS231n自学材料,总结了一些遇到的问题和知识点
evo
Python package for the evaluation of odometry and SLAM
FAST_LIO
A computationally efficient and robust LiDAR-inertial odometry (LIO) package
faster-lio
Faster-LIO: Lightweight Tightly Coupled Lidar-inertial Odometry using Parallel Sparse Incremental Voxels
GVINS
Tightly coupled GNSS-Visual-Inertial system for locally smooth and globally consistent state estimation in complex environment.
lidar_IMU_calib
Targetless Calibration of LiDAR-IMU System Based on Continuous-time Batch Estimation
lio-mapping
Implementation of Tightly Coupled 3D Lidar Inertial Odometry and Mapping (LIO-mapping)
LIO-SAM
LIO-SAM: Tightly-coupled Lidar Inertial Odometry via Smoothing and Mapping
LIO-SAM-DetailedNote
LIO-SAM源码详细注释,3D SLAM融合激光、IMU、GPS
Machine-Learning-Zhou_Zhihua
《机器学习》(周志华)算法实现笔记 - The notes of the book Machine Learning (author: Zhou Zhihua)
ML_Notes
机器学习算法的公式推导以及numpy实现
mlcc
Fast and Accurate Extrinsic Calibration for Multiple LiDARs and Cameras
nd101-c2-landmarks-starter
Project 2 for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101
OA-LICalib
Observability-Aware Intrinsic and Extrinsic Calibration of LiDAR-IMU Systems
ORB_SLAM2_detailed_comments
Detailed comments for ORB-SLAM2 with trouble-shooting, key formula derivation, and diagrammatic drawing
rrr
Code for our RSS/IJRR Paper : Robust Loop Closing over Time
sagemaker-deployment
Code and associated files for the deploying ML models within AWS SageMaker
shenlan_vio_course
深蓝学院《视觉SLAM进阶:从零开始手写VIO》第一期
slam_in_autonomous_driving
《自动驾驶中的SLAM技术》对应开源代码
SLAMesh
Code of SLAMesh, a real-time LiDAR simultaneous localization and meshing method.
vim-galore-zh_cn
Vim 从入门到精通
VINS-Course
VINS-Mono code without Ceres or ROS