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msckf

MSCKF 中文注释版

msckf_vio

Robust Stereo Visual Inertial Odometry for Fast Autonomous Flight

msckf_vio_mono

Monocular MSCKF_VIO 单目版本msckf_vio，包括算法模型详细数学推导文档msckf1.0.doc

mvision

my_vins

of_dis

Fast Optical Flow using Dense Inverse Search (DIS)

open_vins

An open source platform for visual-inertial navigation research.

openahrs

Open AHRS Software/Hardware

opengr

OpenGR: A C++ library for 3D Global Registration

openmvo

学习rpg_svo 根据代码和论文进行一步步的分析

opentld

A C++ implementation of OpenTLD

orb-ygz-slam

pathplanning

Classic path planning algorithms and animations: A*, Potential Field, Anytime Repairing A* (ARA*), Learning Real-time A* (LRTA*), Real-tiem Adaptive A* (RTAA*), Lifelong Planning A* (LPA*), D*, D* Lite, Field D*, etc.

pj_fft_inverse

ENSEEIHT 3EN-TSI Projet Long

pl-svo

Stereo Visual Odometry algorithm through the combination of points and line segments

plane-detection-in-point-clouds

pps-gpio-dtless

GPIO PPS Linux kernel module using parameters instead of device tree.

qukf

An Eigen-based implementation of an UKF filter, allowing the use of quaternions to filter angles

r-vio

Robocentric sliding-window filtering-based visual-inertial odometry

realtime-manifold-mesh-reconstructor

Reconstructs a manifold mesh from sparse data in realtime. Sparse data can be obtained in realtime from a sparse feature-based SLAM algorithm.

rebvo

Realtime Edge Based Visual Odometry for a Monocular Camera

relative-pose-estimation

Relative pose estimation pack

rgbdtam

rovio-test-data

rpg_open_remode

This repository contains an implementation of REMODE (REgularized MOnocular Depth Estimation), as described in the paper.

rpg_svo_example

Example node to use the SVO Installation.

se2lam

Visual-Odometric On-SE(2) Localization and Mapping (ICRA 2019)

segmatch

A 3D segment based loop-closure algorithm

slam

learning SLAM,curse,paper and others

slam-pose_ekf

This library provides a basic, EKF based, implementation for a pose estimator that is able to fuse IMU, odometry and global positioning information (GPS)