L2M – ARMIS: Autonomous Real-time Mapping and Imaging System

The ARMIS (Autonomous Real-time Mapping and Imaging System) project aims to develop an advanced indoor mapping solution utilizing cutting-edge robotics, AI, and image processing technologies to create detailed, real-time indoor maps. This system will autonomously navigate complex environments such as universities, hospitals, corporate campuses, and transportation hubs, capturing 360-degree images and processing them to blur sensitive information before uploading them to Google Street View. This innovative approach enhances navigation and operational efficiency, significantly reducing the time and resources required for manual mapping. Partner organizations will benefit from improved facility management, enhanced user experiences, and increased operational efficiency, ultimately leading to higher productivity and better service delivery.

Faculty Supervisor:

Oscar De Silva

Student:

Partner:

Springboard Atlantic Inc.

Discipline:

Engineering

Sector:

Artificial Intelligence; Transportation (excluding aerospace)

University:

Memorial University of Newfoundland

Program: