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awesome-slam-datasets

A curated list of awesome datasets for SLAM

camodocal

CamOdoCal: Automatic Intrinsic and Extrinsic Calibration of a Rig with Multiple Generic Cameras and Odometry

dataset-api

The ApolloScape Open Dataset for Autonomous Driving and its Application.

dh3d

DH3D: Deep Hierarchical 3D Descriptors for Robust Large-Scale 6DOF Relocalization

docker-maplab

Dockerized maplab

fish-eye-image-correction-code

This is my paper "Correction of single circular fisheye image" related program code

kalibr

The Kalibr visual-inertial calibration toolbox

ldso

DSO with SIM(3) pose graph optimization and loop closure

learnopengles

tutorial of OpenGLES

lego-loam

LeGO-LOAM: Lightweight and Ground-Optimized Lidar Odometry and Mapping on Variable Terrain

lidar-segementation

An implementation on "Curved-Voxel Clustering for Accurate Segmentation of 3D LiDAR Point Clouds with Real-Time Performance" from IROS 2019

loam_noted

loam code noted in Chinese（loam中文注解版）

loam_velodyne

Laser Odometry and Mapping (Loam) is a realtime method for state estimation and mapping using a 3D lidar.

lvi-sam

LVI-SAM: Tightly-coupled Lidar-Visual-Inertial Odometry via Smoothing and Mapping

maplab

An open visual-inertial mapping framework.

mcptam

MCPTAM is a set of ROS nodes for running Real-time 3D Visual Simultaneous Localization and Mapping (SLAM) using Multi-Camera Clusters. It includes tools for calibrating both the intrinsic and extrinsic parameters of the individual cameras within the rigid camera rig.

multicol-slam

This repository contains a multi-fisheye camera SLAM. The underlying SLAM system is based on ORB-SLAM.

opengles3-book

OpenGL ES 3.0 Programming Guide Sample Code

openvslam

OpenVSLAM: A Versatile Visual SLAM Framework

pythonrobotics

Python sample codes for robotics algorithms.

robot_autocalibration

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。

structvio

StructVIO is a tightly-coupled visual-inertial system that incorporates points, lines, and structural lines under Atlantas world assumption. More details are on the project page (http://drone.sjtu.edu.cn/dpzou/project/structvio.html)

studyekf

EKF 扩展的卡尔曼滤波器

surround-view-system-introduction