Pinned Repositories
algorithm_study
APIBook
API DESIGN FOR C++
ardrone_rrt_avoid
c++ codes for moving obstacle avoidance project. Ardrones.
c_uart_interface_example_yc
c_uart_interface_example customized by yucong
CppProjectTemplate
Basic, but working, C++ project using CMake, boost and Doxygen
cs231n
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
Exercises-Solutions-of-State-Estimation-for-Robotics
I provided my own solutions to the exercises of the State Estimation for Robotics book.
kiss-icp
KISS-ICP: In Defense of Point-to-Point ICP – Simple, Accurate, and Robust Registration If Done in the Right Way https://arxiv.org/pdf/2209.15397.pdf
rgbd_slam_tutor2_sophus
yuconglin's Repositories
yuconglin/Exercises-Solutions-of-State-Estimation-for-Robotics
I provided my own solutions to the exercises of the State Estimation for Robotics book.
yuconglin/kiss-icp
KISS-ICP: In Defense of Point-to-Point ICP – Simple, Accurate, and Robust Registration If Done in the Right Way https://arxiv.org/pdf/2209.15397.pdf
yuconglin/mlcc
Fast and Accurate Extrinsic Calibration for Multiple LiDARs and Cameras
yuconglin/algorithm_study
yuconglin/APIBook
API DESIGN FOR C++
yuconglin/cs231n
yuconglin/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
yuconglin/d2l-zh
yuconglin/evo
Python package for the evaluation of odometry and SLAM
yuconglin/FAST_LIO
A computationally efficient and robust LiDAR-inertial odometry (LIO) package
yuconglin/faster-lio
Faster-LIO: Lightweight Tightly Coupled Lidar-inertial Odometry using Parallel Sparse Incremental Voxels
yuconglin/GVINS
Tightly coupled GNSS-Visual-Inertial system for locally smooth and globally consistent state estimation in complex environment.
yuconglin/lidar_IMU_calib
Targetless Calibration of LiDAR-IMU System Based on Continuous-time Batch Estimation
yuconglin/LIO-SAM
LIO-SAM: Tightly-coupled Lidar Inertial Odometry via Smoothing and Mapping
yuconglin/LIO-SAM-DetailedNote
LIO-SAM源码详细注释，3D SLAM融合激光、IMU、GPS
yuconglin/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)
yuconglin/ML_Notes
机器学习算法的公式推导以及numpy实现
yuconglin/multithread_study
yuconglin/nd101-c2-landmarks-starter
Project 2 for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101
yuconglin/OA-LICalib
Observability-Aware Intrinsic and Extrinsic Calibration of LiDAR-IMU Systems
yuconglin/ORB_SLAM2_detailed_comments
Detailed comments for ORB-SLAM2 with trouble-shooting, key formula derivation, and diagrammatic drawing
yuconglin/rrr
Code for our RSS/IJRR Paper : Robust Loop Closing over Time
yuconglin/sagemaker-deployment
Code and associated files for the deploying ML models within AWS SageMaker
yuconglin/shenlan_vio_course
深蓝学院《视觉SLAM进阶：从零开始手写VIO》第一期
yuconglin/slam_in_autonomous_driving
《自动驾驶中的SLAM技术》对应开源代码
yuconglin/SLAMesh
Code of SLAMesh, a real-time LiDAR simultaneous localization and meshing method.
yuconglin/udacity-deep-learning-v2
yuconglin/valuations
yuconglin/vim-galore-zh_cn
Vim 从入门到精通
yuconglin/VINS-Course
VINS-Mono code without Ceres or ROS