ORBSLAM2_With_YOLOV3

Self-Supervised Monocular Scene Flow Estimation (CVPR 2020)

A simple image generator for NYU2 (labeled dataset), which provides independent images for your evaluation goals.

Convolutional Spatial Propagation Network

RGB-D Encoder SLAM for a Differential-Drive Robot in Dynamic Environments

pySLAM is a visual SLAM pipeline in Python for monocular, stereo and RGBD cameras. It supports many modern local and global features, different loop-closing methods, a volumetric reconstruction pip…

deep_learning_for_loop_closure注释

ROS package used for loop closure detection in VSLAM applications using deep learning proposals.

CALC2.0: Combining Appearance, Semantic and Geometric Information for Robust and Efficient Visual Loop Closure

CNNs for Loop-Closure Detection on the Oxford New College and City Centre Datasets

Convolutional Autoencoder for Loop Closure

Inference pipeline for the CVPR paper entitled "Real-Time Monocular Depth Estimation using Synthetic Data with Domain Adaptation via Image Style Transfer" (http://atapour.co.uk/papers/atapour18mono…

Geometry meets semantics for semi-supervised monocular depth estimation - ACCV 2018

Facebook360 Depth Estimation Pipeline - https://facebook.github.io/facebook360_dep

DEPRECATED: Depth Map Estimation from Monocular Images

ICRA 2019 "FastDepth: Fast Monocular Depth Estimation on Embedded Systems"

official implementation of "Revisiting Single Image Depth Estimation: Toward Higher Resolution Maps with Accurate Object Boundaries"

Unsupervised CNN for Single View Depth Estimation: Geometry to the Rescue

Depth and Flow for Visual Odometry

LSD_SLAMのdepth推定をCNN-depth-predictionに変更したものです．

ORB-SLAM2+IMU 紧耦合、ORB稀疏前端、图优化后端、带闭环检测和重定位

Deep Learning for humans

Train CRF-RNN for Semantic Image Segmentation

PyTorch for Semantic Segmentation

Must-read papers on graph neural networks (GNN)

Implementation of Graph Convolutional Networks in TensorFlow

Modified tool of the TUM RGB-D dataset that automatically computes the optimal scale factor that aligns trajectory and groundtruth. Useful to evaluate monocular VO/SLAM.

Point Cloud Library (PCL)

Cube SLAM 个人注释版

orb-slam2 with semantic label