serena2018 Goto Github PK

2s-agcn

Two-Stream Adaptive Graph Convolutional Networks for Skeleton-Based Action Recognition in CVPR19

android_camera-imu

Wifi data aquistion between Android and ROS

camodocal

CamOdoCal: Automatic Intrinsic and Extrinsic Calibration of a Rig with Multiple Generic Cameras and Odometry

cartographer

Cartographer is a system that provides real-time simultaneous localization and mapping (SLAM) in 2D and 3D across multiple platforms and sensor configurations.

cartographer_ros

Provides ROS integration for Cartographer.More details in Chinese http://www.cnblogs.com/hitcm/

ceres-solver

I built a new project and rewrite the slam part including slam_2d and slam_3d

code_utils

my code utils

cv-image_processing

projects of computer vision

deepflux

DeepFlux for Skeletons in the wild (CVPR 2019)

delaunay-mesh

dso

Direct Sparse Odometry

evo

Python package for the evaluation of odometry and SLAM

feature-dso-stereo

g2o

g2o: A General Framework for Graph Optimization

gtsam

GTSAM is a library of C++ classes that implement smoothing and mapping (SAM) in robotics and vision, using factor graphs and Bayes networks as the underlying computing paradigm rather than sparse matrices.

hms-accelerate-demo

The sample code describes how to use the HMS AccelerateKit SDK, including dispatch queues create, push work items into queues, release queues.

imagebasedmodellingeduv1.0

imu_tk

ROS Wrapper for imu_tk

imu_utils

A ROS package tool to analyze the IMU performance.

kalibr

The Kalibr visual-inertial calibration toolbox

kalibr_allan

IMU Allan standard deviation charts for use with Kalibr and inertial kalman filters.

kimera-rpgo

Robust Pose Graph Optimization

kimera-semantics

Real-Time 3D Semantic Reconstruction from 2D data

kimera-vio

Visual Inertial Odometry with SLAM capabilities and 3D Mesh generation.

kitti2bag

Convert KITTI dataset to ROS bag file the easy way!

learnviorb

leetcode

LeetCode Solutions: A Record of My Problem Solving Journey.( leetcode题解，记录自己的leetcode解题之路。)

localization_in_auto_driving

monodepth

Unsupervised single image depth prediction with CNNs

morvan

Here is something that I learned through morvan's lesons