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cnn-svo

Real-time motion from structure

cnn_slam

CNN SLAM implementation of https://arxiv.org/abs/1704.03489

deep-learning-localization-mapping

A collection of deep learning based localization models

dynaslam

DynaSLAM is a SLAM system robust in dynamic environments for monocular, stereo and RGB-D setups

english-level-up-tips-for-chinese

可能是让你受益匪浅的英语进阶指南

fg-vig

graphgnsslib

An Open-source Package for GNSS Positioning and Real-time Kinematic Using Factor Graph Optimization

gtsam

GTSAM is a library of C++ classes that implement smoothing and mapping (SAM) in robotics and vision, using factor graphs and Bayes networks as the underlying computing paradigm rather than sparse matrices.

gx_rgbdslam_jin

ieee-data

Data scraped for each article from IEEE explore

lwoi

Python code of the paper "Learning Wheel Odometry and IMU Errors for Localization"

minisam

A general and flexible factor graph non-linear least square optimization framework

msckf-vig_sim

nf-isam

The codebase of normalizing flows for incremental soomthing and mapping (NF-iSAM). The datasets used for performance evaluation are provided as well.

ob_gins

An Optimization-Based GNSS/INS Integrated Navigation System

pppsam

pytorch-deepvo

An Implementation of DeepVO with CNN / CNN-LSTM

rtklib

sfmlearner

An unsupervised learning framework for depth and ego-motion estimation from monocular videos

vinet

VINet: Visual-Inertial Odometry as a Sequence-to-Sequence Learning Problem