MaskFusion: Real-Time Recognition, Tracking and Reconstruction of Multiple Moving Objects

Co-Fusion: Real-time Segmentation, Tracking and Fusion of Multiple Objects

[CVPR 2023] vMAP: Vectorised Object Mapping for Neural Field SLAM

KinectFusion implemented in Python with PyTorch

MD-SLAM: Multi-cue Direct SLAM. Implements the first photometric LiDAR SLAM pipeline, that works withouth any explicit geometrical assumption. Universal approach, working independently for RGB-D and LiDAR.

用python学习rgbd-slam系列

Code for CVPR 2018 paper --- Texture Mapping for 3D Reconstruction with RGB-D Sensor

Photometric SLAM and Bundle Adjustment for RGB-D and LiDAR in CUDA.

[ECCV'18 Oral] PlaneMatch: Patch Coplanarity Prediction for Robust RGB-D Reconstruction

Lightweight Dense Visual Odometry - a header-only C++ library for real-time dense RGB-D odometry.

The package is common Slam combined with DeepLab-V2-CRF Library.

Code for ICRA 2019 work "MID-Fusion Octree-based Object-Level Multi-Instance Dynamic SLAM"

Code for RA-L work "Deep Probabilistic Feature-metric Tracking"

Visual SLAM learning and training

Dockerfile for the use of [ElasticFusion](https://github.com/mp3guy/ElasticFusion)

ROS raspberry pi "roomba" like robot

Implemented a RGBD vSLAM in C++

Kinect support for ORB-SLAM2