huanhexiao

rhjin's repositories

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.

Language:C++NOASSERTION1 20

minisam

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

Language:C++BSD-3-Clause1 10

CNN-SVO

Real-time motion from structure

Language:C++010

CNN_SLAM

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

Language:Python010

deep-learning-localization-mapping

A collection of deep learning based localization models

NOASSERTION010

DynaSLAM

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

Language:C++NOASSERTION010

English-level-up-tips-for-Chinese

可能是让你受益匪浅的英语进阶指南

020

FG-VIG

Language:C++000

GraphGNSSLib

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

Language:C000

GX_Rgbdslam_JIN

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IEEE-Data

Data scraped for each article from IEEE explore

MIT020

lwoi

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

Language:PythonMIT010

NF-iSAM

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

000

OB_GINS

An Optimization-Based GNSS/INS Integrated Navigation System

GPL-3.0000

pytorch-deepvo

An Implementation of DeepVO with CNN / CNN-LSTM