Mihran Muhammed's repositories
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.
obsidian
Obsidian.md stands out as an exceptional note-taking application tailored specifically for academic writing.
ORB_SLAM3
ORB-SLAM3: An Accurate Open-Source Library for Visual, Visual-Inertial and Multi-Map SLAM
ORB_SLAM2
Real-Time SLAM for Monocular, Stereo and RGB-D Cameras, with Loop Detection and Relocalization Capabilities
deep-learning-localization-mapping
A collection of deep learning based localization models
depth_clustering_py
Fast and robust clustering of point clouds, ported from https://github.com/PRBonn/depth_clustering to Python with Numba.
tartanair_tools
TartanAir dataset tools and samples
VDO_SLAM
VDO-SLAM: A Visual Dynamic Object-aware SLAM System
Deep-SLAM
a list of papers, code, and other resources focus on deep learning SLAM system
HoloLensForCV
Sample code and documentation for using the Microsoft HoloLens for Computer Vision research
ORB_SLAM
A Versatile and Accurate Monocular SLAM
lidar-bonnetal
Semantic and Instance Segmentation of LiDAR point clouds for autonomous driving
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
cube_slam
CubeSLAM: Monocular 3D Object Detection and SLAM
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.