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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

cs344

Introduction to Parallel Programming class code

cuda-problemsets

solution to CUDA Problem Sets of Udacity CS334: Intro to Parallel Programming

d2l-zh

evo

Python package for the evaluation of odometry and SLAM

exercises-solutions-of-state-estimation-for-robotics

I provided my own solutions to the exercises of the State Estimation for Robotics book.

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.

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

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-ygz-slam

orb_slam2

Real-Time SLAM for Monocular, Stereo and RGB-D Cameras, with Loop Detection and Relocalization Capabilities

orb_slam2_detailed_comments

Detailed comments for ORB-SLAM2 with trouble-shooting, key formula derivation, and diagrammatic drawing

rgbd_slam_map

rgbd_slam_tutor2_sophus