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awesome-slam

A curated list of awesome SLAM tutorials, projects and communities.

data

PCD files for tutorials, examples, or PCL-related applications

dso

Direct Sparse Odometry

dso_ros

ROS wrapper for dso

geodetic_utils

Simple library for converting coordinates to/from several geodetic frames (lat/lon, ECEF, ENU, NED, etc.)

grid_map

Universal grid map library for mobile robotic mapping

hello-world

my first repository-hello-world

knowrob-semantic-map-tools

A collection of tools for working with Knowrob semantic maps

maplab

An open visual-inertial mapping framework.

markdown

Markdown 基本语法。

matplotlib

matplotlib: plotting with Python

mav_control_rw

Control strategies for rotary wing Micro Aerial Vehicles using ROS

mvision

机器人视觉 无人驾驶 视觉SLAM ORB LSD SVO DSO 深度学习目标检测yolov3 行为检测 opencv PCL 双目视觉

neural-slam

Pytorch code for ICLR-20 Paper "Learning to Explore using Active Neural SLAM"

notes

自己写的一些文章（技术、思考、文学等）

octomap

An Efficient Probabilistic 3D Mapping Framework Based on Octrees. Contains the main OctoMap library, the viewer octovis, and dynamicEDT3D.

orb_slam2_with_octomap

Real-Time SLAM for Monocular, Stereo and RGB-D Cameras, with Loop Detection and Relocalization Capabilities

pcl

Point Cloud Library (PCL)

ps4eye

ptam-gpl

PTAM (Parallel Tracking and Mapping) re-released under GPLv3.

qgroundcontrol

QGroundControl Ground Control Station

quadcoptersimulator

Simulator for Quadcopter in Python

ros_tutorial

rotors_simulator

RotorS is a UAV gazebo simulator

rovio

rpg_ig_active_reconstruction

This repository contains the active 3D reconstruction library described in the paper: "An Information Gain Formulation for Active Volumetric 3D Reconstruction" by Isler et al. (ICRA 2016).

sptam

S-PTAM: Stereo Parallel Tracking and Mapping

stereo_dso_ros

trajectory_toolkit

Python tool for analyzing and evaluating trajectory data

volumetric_mapping

A repository for 3D volumetric (occupancy) maps, providing a generic interface for disparity map and pointcloud insertion, and support for custom sensor error models.