Student research opportunities

Attitude Estimation for Flying Robots

Project Code: CECS_758

This project is available at the following levels:
Engn4200, Engn R&D, Honours
Please note that this project is only for undergraduate students.

Keywords:

Aerial Vehicles, Robotics, Attitude Estimation, Object Oriented Programming.

Supervisors:

Dr Jochen Trumpf
Mr Mohammad Zamani
Professor Robert Mahony

Outline:

Attitude estimation is the process of estimating the orientation of an aircraft in the 3D space that is essential in flight control and navigation. Many of today’s aerial vehicles are using outdated attitude estimation methods. Recent developments have led to new algorithms that have the potential to revolutionize the industry standard for attitude estimation. A key step to realize this potential is the development of effective numerical implementations of these algorithms and benchmarking of these algorithms against current industry standards. This projects aims to contribute to this developments by building a code package that accommodates recent attitude estimation algorithms.

As part of this project you will learn about producing a code package that is up to industry standards as well as learning about flying robots and their attitude estimation methods. This project gives you a chance to meet active researchers and to work in an active and dynamic team.

Goals of this project

Developing a code package for implementation and evaluation of modern attitude estimation methods.

Producing a code package that is up to industry standards and is accessible for both industry and academia people.

Requirements/Prerequisites

Experience in programming

Student Gain

Learning about modern aerial robotics and attitude estimation.

Being involved in building a comprehensive filtering package for the first time in the world which potentially revolutionizes industry attitude estimation applications and facilitates further theoretical advancements.

Learning to design a code package that is up to industry standards of coding.