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active-orb-slam2

ORB SLAM2 with Active Planning

basalt_class

深蓝课程

benchmarks-attitude-smartphones

Benchmark on Attitude Estimation with Smartphones (datasets & scripts)

bright_dream_slam_navigation

coolweather

dero

Code for "DeRO: Dead Reckoning Based on Radar Odometry With Accelerometers Aided for Robot Localization"

ds-slam

fusion-dhl

Fusion-DHL: WiFi, IMU, and Floorplan Fusion for Dense History of Locations in Indoor Environments

imu-pose-estimation

Undergrad dissertation on 3D pose estimation from inertial data.

imudb

[RA-L 2023] Official Implementation for "A Simple Self-Supervised IMU Denoising Method For Inertial Aided Navigation", in IEEE Robotics and Automation Letters, 2023

indoor-location-navigation-public

Winning solution of the Indoor Location & Navigation Kaggle competition

indoormapping

Generate 3D dense point cloud based on ORB-SLAM, and build indoor navigation map using OctoMap.

informer2020

The GitHub repository for the paper "Informer" accepted by AAAI 2021.

learned-map-prior

librealsense

Intel® RealSense™ SDK

matrix

a header-only c++ numeric library

mins

Efficient Multi-sensor Aided Inertial Navigation with Online Calibration

mrgbd-vio

A Multi-Feature tightly-coupled RGB-D visual-inertial SLAM system

multicamera-calibration

Multi-Camera Calibration Suite

navigation_using_octomap

The 3D navigation for a turtlebot using octomap

pedestrian-dead-reckoning-pdr

室内行人移动方位推算技术 (Pedestrian Dead Reckoning, PDR)

pl-slam

This code contains an algorithm to compute stereo visual SLAM by using both point and line segment features.

railway-anomaly-detection

rgbd-vio

A RGBD camera-based visual inertial odometry

rnin-vio

slam-book

这是一本关于SLAM的书稿，希望能清楚的介绍SLAM系统中的使用的几何方法和深度学习方法。书稿最后应该会达到400页左右，书稿每章对应的代码也会被整理出来。

slam_in_autonomous_driving_shenlan_hw

《自动驾驶中的SLAM技术》对应开源代码 1. 添加详细代码注释 2. 添加深蓝第一期课后习题与大作业的修改（若想要原始的激光SLAM定位与建图的效果，请前往高博github拉取最新分支）

slampaperreading

线下SLAM论文分享资料

stvo-pl

Stereo Visual Odometry by combining point and line segment features

tlio

Tight Learned Inertial Odometry