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motbeyondpixels

msckf

Multi-State Constraint Kalman Filter for Vision Based Inertial Navigation

msckf-1

msckf_cg

Modified version of KumarRobotics/msckf_vio (commit e3a39a9 on Jul 26, 2019), a stereo version of MSCKF.

msckf_mono

Monocular MSCKF ROS Node

msckf_vio

Robust Stereo Visual Inertial Odometry for Fast Autonomous Flight

multiple-view-car-localization

This repo contains code for paper "Vehicle Pose and Shape Estimation through Multiple Monocular Vision"

my_openvins

my_vins

mynt-eye-vins-fusion-samples

Forked from Vins-Fusion: https://github.com/HKUST-Aerial-Robotics/Vins-Fusion

neorender_test_task

neural-painters

nolbo

NOLBO : Not Only Look But Observe - multi-object observation and 3D reconstruction

object-detection-sptam

Online Object Detection and Localization on Stereo Visual SLAM System

object-oriented-slam

A C++ implementation for paper Object-oriented SLAM using Quadrics and Symmetry Properties for Indoor Environments.

occlusion_net

Occlusion-Net: 2D/3D Occluded Keypoint Localization Using Graph Networks

openvins_updated

openvslam

A Versatile Visual SLAM Framework

opvo

Sample code of BMVC 2017 paper: "Visual Odometry with Drift-Free Rotation Estimation Using Indoor Scene Regularities"

orcvio-lite

A lightweight version of OrcVIO that uses monocular images, inertial data, as well as bounding box measurements

orcvio_githubpage

orcvio_pytorch_models

picmake

你还在学CMake的过程中毫无头绪吗？你还在为复杂程序库依赖发愁吗？你是否觉得原生CMake的编写冗余而低效？那就快来学习和使用PICMake吧！只需要一行，无论是可执行，动态库还是静态库，轻松搞定！同时高效支持多目标，复杂库的编译安装，从此告别大量冗余CMake代码，专注开发核心应用程序，编译不再愁！ 例如下面是使用PICMake编译一个依赖OpenGL的可执行文件，只需要一行！

pl-slam

This code contains an algorithm to compute stereo visual SLAM by using both point and line segment features.

pl-vio

monocular visual inertial system with point and line features

planarslam

Plane based SLAM system

pose_estimation

Code for our work on pose-estimation using template 3D models.

pvnet

Code for "PVNet: Pixel-wise Voting Network for 6DoF Pose Estimation" CVPR 2019 oral

pytorch-deepvo

An Implementation of DeepVO with CNN / CNN-LSTM

quadricslam

An extension of gtsam to provide support for optimizing quadric landmarks