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cube_slam

CubeSLAM: Monocular 3D Object Detection and SLAM

deep-learning-localization-mapping

A collection of deep learning based localization models

deep-slam

a list of papers, code, and other resources focus on deep learning SLAM system

depth_clustering_py

Fast and robust clustering of point clouds, ported from https://github.com/PRBonn/depth_clustering to Python with Numba.

hololensforcv

Sample code and documentation for using the Microsoft HoloLens for Computer Vision research

lidar-bonnetal

Semantic and Instance Segmentation of LiDAR point clouds for autonomous driving

mobile-landmark-recognation-app-using-the-augmented-reality-technology

Implementing AR tech in the recognition of landmarks from several countries based on Android. Ithe method used is the Marker Based Tracking method, after the marker is detected, the 3D model of the landmark will appear on the marker as if the model is real. 3D obj.s can b created in Blender or dnloaded via SketchUp's official 3D Warehouse webs.

myobsidian

object-recognition-for-3d-modelling-in-ar-environment

obsidian

Obsidian.md stands out as an exceptional note-taking application tailored specifically for academic writing.

obsidian-slr

This repository hosts an Obsidian vault tailored for conducting a Systematic Literature Review (SLR). This repository is part of the activities for the Systematic Literature Review using AI workshop.

orb-slam2-based-ar-on-android

This is a Android Augmented Reality APP based on ORB-SLAM2 and OpenGL，which can work well on both outdoor and indoor environments

orb_slam

A Versatile and Accurate Monocular SLAM

orb_slam2

Real-Time SLAM for Monocular, Stereo and RGB-D Cameras, with Loop Detection and Relocalization Capabilities

orb_slam3

ORB-SLAM3: An Accurate Open-Source Library for Visual, Visual-Inertial and Multi-Map SLAM

slr-fc

Systematic Literature Review (SLR) Using AI

tartanair_tools

TartanAir dataset tools and samples

vdo_slam

VDO-SLAM: A Visual Dynamic Object-aware SLAM System