indoor-mapping

Open-source indoor navigation ready for community collaboration

Interactive SVG map with indoor wayfinding powered by React

Source code for M.T. Hoang, B. Yuen, X. Dong, T. Lu, R. Westendorp and K. Reddy, “Recurrent Neural Networks for Accurate RSSI Indoor Localization,” IEEE Internet of Things Journal, 2019

DIY SLAM scanner built with LiDAR and Nanopi zero2 — full build guide with 3D printed parts

Source code for the paper "A Soft Range Limited K-Nearest Neighbors Algorithm for Indoor Localization Enhancement"

A indoor navigation app for Graphic Era Hill University using Dijkstra algorithm

A simple Mapwize (Indoor Mapping) Implementation in Ionic Framework

Wi-Fi BLE RSSI SQI Localization dataset

A device autonomously moving inside an indoor area and creating a real-time 2D plan of there.

IndoorNav: A web app for accurate indoor navigation using AprilTags and computer vision. Developed with web technologies and OpenCV.

Hello researchers. In this project, I will present my works that I have done in real environment and gazebo simulation environment using Turtlebot3 and Turtlebot2. Many systems such as mapping, positioning, use of sensor data are explained in the project.

一个基于Leaflet Simple CRS的平面地图标点系统，支持点/多边形/导航路径规划 A planar map point system based on Leaflet Simple CRS, supporting point/polygon/navigation path planning

Indoor Location tracking and analytics for Android platform

Indoor plans and calibration files for indoor mapping in JOSM

S.T.I.T.C.H (segmentation and Tile Integration for Cross-domain Industrial floor plan Characterization ) an UNet-based floorplan segmentation with overlapping tile stitching for large-scale architectural layouts

Research prototype for converting indoor video into rough floor plan drafts through segmentation, depth, and pose-based analysis.

This Algorithm enhance floor plan creation with the Holo Lens 2

A Swift library for connecting to ROS using ROSBridge and Websockets

Production engineering reference for indoor mapping & wayfinding automation: floor-plan parsing, routing graphs, beacon/Wi-Fi positioning, and deployment pipelines — with runnable Python. Built as an offline-capable PWA.