hexdforward Goto Github PK

autoware

Open-source software for urban self-driving mobility

awesome-3d-vision

3D computer vision incuding SLAM，VSALM，Deep Learning，Structured light，Stereo，Three-dimensional reconstruction，Computer vision，Machine Learning and so on

awesome_3dreconstruction_list

A curated list of papers & resources linked to 3D reconstruction from images.

cartographer

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

deeplearning

深度学习入门教程, 优秀文章, Deep Learning Tutorial

densedepth

High Quality Monocular Depth Estimation via Transfer Learning

g2o-robust

Robust Edge Types for G2O

gicp

Generalized ICP reference implementation

gitlearn

for git learning

hexdforward.github.io

icp-opencv

A simple example of icp (Iterative Closest Point) with opencv and kdtree.

image-segmentation-keras

Implementation of Segnet, FCN, UNet , PSPNet and other models in Keras.

lamson

Pythonic SMTP Application Server

loam_back_and_forth

loam SLAM with back and forth tilted scanning 2D laser, modified to work under ROS indigo and catkin

loam_continuous

loam SLAM with continuous scanning 2D laser, modified to work under ROS indigo and catkin

loam_project

Attempt to recreate C++ LOAM package using Object Oriented design

loam_velodyne

Laser Odometry And Mapping (LOAM) SLAM ROS package for 3D Velodyne VLP-16 laser scanner

loam_velodyne-1

Laser Odometry and Mapping (Loam) is a realtime method for state estimation and mapping using a 3D lidar.

loosely_coupled_ekf

6 DOF, loosely-coupled, error state EKF ROS node.

maplab

An open visual-inertial mapping framework.

morethantechnical

Automatically exported from code.google.com/p/morethantechnical

osmap

Save and load orb-slam2 maps

ov_maplab

Interface for OpenVINS with the maplab project

pytorch-semseg

recent-stars-2020

🔥🔥🔥SLAM, Pose/Object tracking, Depth/Disparity/Flow Estimation, 3D-graphic, etc. related papers and code

road-curve-detection

Given a 3D point cloud obtained by a LiDAR sensor mounted on a car, this project goal is to output the road properties.

stanford_self_driving_car_code

Stanford Code From Cars That Entered DARPA Grand Challenges