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atlasnet

This repository contains the source codes for the paper "AtlasNet: A Papier-Mâché Approach to Learning Mesh Synthesis". The network is able to synthesize a mesh (point cloud + connectivity) from a low-resolution point cloud, or from an image.

autoware

Open-Source To Self-Driving.

ba

Visual Inertial Bundle Adjuster

camodocal

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

eiba

Efficient Incremental BA

gvins

Tightly coupled GNSS-Visual-Inertial system for locally smooth and globally consistent state estimation in complex environment.

hdl_graph_slam

3D LIDAR-based Graph SLAM

ice-ba

libsgm

Stereo Semi Global Matching by cuda

loam_velodyne

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

mesh-voxelization

C++ implementation for computing occupancy grids and signed distance functions (SDFs) from watertight meshes.

msckf_vio

Robust Stereo Visual Inertial Odometry for Fast Autonomous Flight

nanomap_ros

NanoMap: Fast, Uncertainty-Aware Proximity Queries with Lazy Search of Local 3D Data

opengm

A C++ Library for Discrete Graphical Models

openvslam

OpenVSLAM: A Versatile Visual SLAM Framework

opt_control

Time-optimal Trajectory Generation and Control

ovc

the Open Vision Computer

pyslam

pySLAM contains a monocular Visual Odometry (VO) pipeline in Python. It supports many modern local features based on Deep Learning.

quadrotor-collision-avoidance

Flight code for our high-speed quadrotor obstacle avoidance method, as described in this paper:

realsense_orbslam

Simple slam with realsense camera based on ORB_SLAM2

sgm

Semi-Global Matching on the GPU

tsdf-fusion

Fuse multiple depth frames into a TSDF voxel volume.

vi-mean

Visual-Inertia-fusion-based Monocular dEnse mAppiNg

vins-fusion

An optimization-based multi-sensor state estimator

vins-mono

A Robust and Versatile Monocular Visual-Inertial State Estimator

vins_so

vmav-ros-pkg

ROS packages for vision-based MAVs.