Strongly accurate indoor positioning algorithms with the main focus on indoor navigation developed by Navigine company. Here we will step by step publish the source code of our algorithm starting with trilateration.

[Esri GIS 2nd Prize] We developed this indoor and outdoor seamless positioning and navigation system under the Android system by using the built-in multi-sensors of mobile phones.

Open-source indoor navigation ready for community collaboration

Topological Semantic Graph Memory for Image Goal Navigation (CoRL 2022 oral)

AR app for indoor navigation using ARcore and Sceneform.

This is an open-source project that employs deep learning to enhance indoor positioning using WiFi Channel State Information (CSI). This project aims to harness the detailed data from CSI, such as signal amplitude, phase, and environmental properties, to accurately locate devices inside buildings where GPS is ineffective.

Interactive SVG map with indoor wayfinding powered by React

[ICCV 2021] Official implementation of "The Surprising Effectiveness of Visual Odometry Techniques for Embodied PointGoal Navigation"

Robotic Localization with SLAM on Raspberry Pi integrated with RP LIDAR A1. Point Cloud remote visualization doing using MQTT in real-time.

[ICCV 2023] PEANUT: Predicting and Navigating to Unseen Targets

Augmented Reality for Indoor Navigation System - An Android application for navigating user in an indoor environment with augmented arrows, without continuous data connectivity. For initial development work of project refer link

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

[ECCV'24 Oral] SPVLoc estimates 6D camera pose by matching images to semantic 3D models of indoor scenes, without scene-specific training.

An indoor positioning system (IPS) is a system to locate objects or people inside a building using radio waves, magnetic fields, acoustic signals, or other sensory information.

Library for Indoor Positioning purposes

MuNES: Multifloor Navigation Including Elevators and Stairs

Augmented Reality-based Indoor Navigation Application is an innovative application designed to assist users unfamiliar with complex buildings such as hospitals, universities, super malls, airports, and railway stations. It guides users to their desired destination, saving both time and energy. This system is cost effective, easy to use.

Library for low-cost navigation of small/IoT devices

This system provides service for navigation inside buildings with some functions like Find way inside a building and navigate user in a building using QRCode and Augmented Reality using ARCore and Azure Spatial Anchor.

The MapsIndoors SDK is the idea of integrating everything on your venue, like people, goods, offices, shops, rooms and buildings with the mapping and wayfinding technologies provided in the MapsIndoors platform. The easiest way to test this out is by running 'pod try MapsIndoors' using CocoaPods.

Wifi based Indoor Localization system utilizing Wi-Fi Fingerprinting Technique - AI/ML Approach

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

indoor segmentation - indoor semantic segmentation Android using Deeplabv3 MobileNetV2 trained with ADE20K dataset

SDK for iOS to develop own indoor navigation apps, and Navigine demo application for iOS to test indoor navigation. Now you get one code for all types of devices with less resource use.

A MapsIndoors powered showcase app free to use and adapt to your needs.

:arrow_heading_up: This is an experimental project of the “AR Indoor Navigation” application

Hospital Navigator (Indoor Navigation) with Python 🏥🗺️🐍

The scripts were intended to describe a Naive-Bayes-based approach to indoor location via WiFi signals.

Gmapping and Autonomous Navigation by an indoor farming bot.

Manipal Indoor Navigation Network