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deep_ekf_vio

depth-map-prediction

Pytorch Implementation of Depth Map Prediction from a Single Image using a Multi-Scale Deep Network

dso

Direct Sparse Odometry

ekfmonoslam

SLAM using a monocular camera, optionally an IMU, and GPS

evaluate_ate_scale

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.

grid-cells

Implementation of the supervised learning experiments in Vector-based navigation using grid-like representations in artificial agents, as published at https://www.nature.com/articles/s41586-018-0102-6

indoor-navigation-via-vision-inertial-data-fusion

Indoor Navigation via Vision-Inertial Data Fusion (IEEE/ION2018)

kalmanfilter-vehicle-gnss-ins

In this project I implemented a kalman filter on IMU and GNSS recorded data (Sensors were highly accurate "Geodetic class")

keyframesextraction

This repository contains script to divide a video into key frames.

lstm-matlab

LSTM by matlab

matlab_deep_learning

《Matlab计算机视觉与深度学习实战》代码

mexopencv

Collection and a development kit of matlab mex functions for OpenCV library

mono-vo

An OpenCV based implementation of Monocular Visual Odometry

monodepth

Unsupervised single image depth prediction with CNNs

monodepth2

Monocular depth estimation from a single image

monovo-python

A simple monocular visual odometry project in Python

msckf-swf-comparison

MATLAB code and data for our CRV 2015 paper

mvision

机器人视觉 移动机器人 VS-SLAM ORB-SLAM2 深度学习目标检测 yolov3 行为检测 opencv PCL 机器学习 无人驾驶

mvoscalerecovery

Recover the scale of monocular visual odometry

neuroslam

NeuroSLAM: A Brain inspired SLAM System for 3D Environments

openseqslam2

OpenSeqSLAM2 is a MATLAB toolbox for interactively exploring the visual place recognition problem.

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

pdr-with-map-matching

A solution for indoor positioning. Based on PDR. With map matching. Using chest mounted IMU. Got 1st place in IPIN 2017 competition Track 2. Got 2nd place in IPIN 2018 competition Track 2 (0.2m worse than 1st).

pedestrian-dead-reckoning

PDR using step detection on smartphone

pg_bow_demo

Image Classification using Bag of Words and Spatial Pyramid BoW

pytorch-deepvo

An Implementation of DeepVO with CNN / CNN-LSTM

ratslam

Automatically exported from code.google.com/p/ratslam

ratslam_matlab

ratslam_matlab_v1.03

RatSLAM_MATLAB_V1.03