Description

Background and Rationale of the Project

The Positioning, Localization, and Navigation (PLAN) technology has already been
successfully commercialized in many applications such as mobile phones and unmanned
systems. In particular, indoor PLAN technology is becoming increasingly important with the
emergence of new chip-level Micro-Electromechanical System (MEMS) sensors, positioning
big data, and Artificial Intelligence (AI) technology, as well as the increase of public interest
and social potential.
The availability of a reliable and precise tracking system could improve overall the situational
awareness of the different industries where indoor tracking could be deployed. Thus, the
demand for such a system is very high in the military and in the emergency and crisis
intervention domain, to name just a couple.
The demand for autonomous indoor tracking is growing at impressive rates and is already
on the radar of giants, such as Apple, Google, Tesla, and Nvidia.
While there are solutions like GPS for the localization in open areas, problems arise in
urban scenarios and indoors due to insufficient or failed signal reception.
24.May.2023 Project Proposal – Product Development

Goals and Objectives of the Project

The purpose of this project is to solve the problem of autonomous tracking/navigation of the
movement of an object indoors.
The system developed to achieve this goal will be based on modern computer technologies
such as data science, intelligent algorithms, deep learning, etc.
These computer technologies through the I2C communication protocol will provide data
acquisition and processing of the necessary information received from modern MEMS / IMU
sensor systems to achieve autonomous navigation, namely indoor tracking.
Project Participants
• Group of 2-3 students
• Students from electrical engineering faculty
• The project will be managed by facilitators: from the Academy and from the
company
Candidate Requirements
• An inquisitive technophile with the desire to work with algorithms and to explore the
future of autonomous navigation
• Familiarity with Python for POC
• Ability to research new and existing technologies
• Familiarity with a range of interfaces and multi-disciplinary systems
• Experience with real-time embedded systems – an advantage
• Programming experience in C/C++ for Arduino IDE for Visual Studio – an advantage
Autonomous Indoor Tracking Application

GIS

Description

Emphasis in project execution

The project is has cooperation with the industry and combines meeting deadlines while being creative and focused on the task
