Indoor Location Emulator For Machine Learning Models Frontend Module

That repository includes the frontend Emulator of Indoor Positioning (using Mapbox GL JS).

[Developed with HTML, vanilla JS & CSS]

Main features

• MQTT client for communication (paho-mqtt)
• Load Indoor Map
• Load Asset Points positions
• Load Antennas positions
• Load Pulsing Dots (ML Algorithms) positions
• Display lines of sight between Asset Points and Antennas
• Display intersection points with walls on each line of sight between Asset Points and Antennas
• Add and remove Asset Points, Anchors and Antennas to the Map
• Move the Asset Points in the map
• Move the Anchors in the map
• Move the Antennas in the map
• Turn the Antennas and Asset Points Directions
• Animate Asset Point with custom pre-loaded movements
• Catch Lines of sight intersections with Directions
• Display Pulsing Dots (ML Algorithms) positions from predictor module

Usefull commands

• install jsdoc using npm:

npm install -g jsdoc

• install better-docs OR docdash using npm :

npm install --save-dev better-docs

OR

npm install docdash

• generate documentation using jsodc and better-docs OR docdash:

jsdoc ./src/ --readme ./README.md -d docs -r -t ./node_modules/better-docs

OR

jsdoc ./src/ --readme ./README.md -d docs -r -t path/to/docdash

Documentation

JavaScript Documentation of Frontend Module, built with jsdoc and better-docs: here.