whu-lyh Goto Github PK

followers: 44.0 following: 479.0 repos: 357.0 gists: 0.0

Type: User

Company: Wuhan University

Bio: A bug that doesn't kill you makes you stronger

Location: Wuhan & Chongqing

Blog: https://whu-lyh.github.io/

Hi there 🌱 I’m currently learning 3D vision & LiDAR SLAM

✧ Website: https://whu-lyh.github.io/

whu-lyh's Projects

deep_learning_object_detection

A paper list of object detection using deep learning.

deep_marching_cubes

Code for "Deep Marching Cubes: Learning Explicit Surface Representations", CVPR 2018

deepalignmentnetwork

A deep neural network for face alignment

This project is an implementation of the Generative Adversarial Network proposed in our CVPR 2017 paper - DeLiGAN : Generative Adversarial Networks for Diverse and Limited Data. DeLiGAN is a simple but effective modification of the GAN framework and aims to improve performance on datasets which are diverse yet small in size.

depth_clustering

:taxi: Fast and robust clustering of point clouds generated with a Velodyne sensor.

dlc_lidar_slam

:fire: :muscle: Official Project: A Robust and Effective LiDAR-SLAM System with Learning-based Denoising and Loop Closure (DLC-SLAM)

dlib

A toolkit for making real world machine learning and data analysis applications in C++

dll

DLL: Direct Lidar Localization

dm-vio

Source code for the paper DM-VIO: Delayed Marginalization Visual-Inertial Odometry

dm-vio-python-tools

Python tools for running and evaluating DM-VIO.

drc

Code release for "Multi-view Supervision for Single-view Reconstruction via Differentiable Ray Consistency" (CVPR 2017)

edge_extraction

Fast and robust algorithm to extract edges in unorganized point clouds

erasor

Official page of ERASOR (Egocentric Ratio of pSeudo Occupancy-based Dynamic Object Removal), which is accepted @ RA-L'21 with ICRA'21

fast_lio

A computationally efficient and robust LiDAR-inertial odometry (LIO) package

fast_lio_localization

A simple localization framework that can re-localize in built maps based on FAST-LIO.

fishervector

Improved Fisher Vector Implementation

floam

Fast LOAM: Fast and Optimized Lidar Odometry And Mapping for indoor/outdoor localization (Lidar SLAM)

frrn

Full Resolution Residual Networks for Semantic Image Segmentation

fusion

fuse IMU data and Odometry

game-programmer-study-notes

:anchor: 我的游戏程序员生涯的读书笔记合辑。你可以把它看作一个加强版的Blog。涉及图形学、实时渲染、编程实践、GPU编程、设计模式、软件工程等内容。Keep Reading , Keep Writing , Keep Coding.

geometrictestlibrary

Solves 2D and 3D math problems, including, closest point, intersection, line of sight, and reflection vector:

glm

OpenGL Mathematics (GLM)

gnss-imu_fgo_fusion

GNSS-IMU_FGO_FUSION

gpr_competition

Dataset for MetaSLAM Challenge

gpu-normal-computation

Performing normal computation for big point clouds on the gpu using openCL

graph-cut-ransac

The Graph-Cut RANSAC algorithm proposed in paper: Daniel Barath, Jiri Matas, Graph-Cut RANSAC. It is available at https://arxiv.org/abs/1706.00984

graphos

Photogrammetric platform for 3d reconstruction from multiple images

ground-segmentation-benchmark

Ground segmentation benchmark in SemanticKITTI dataset

gslam

A General Simultaneous Localization and Mapping Framework which supports feature based or direct method and different sensors including monocular camera, RGB-D sensors or any other input types can be handled.

whu-lyh Goto Github PK

Hi there 🌱 I’m currently learning 3D vision & LiDAR SLAM

whu-lyh's Projects

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