Description:

Multi-camera image processing provides better control to navigate autonomous air drones, which have become popular to collect surveillance and navigation information. One of the key operations for such drones is autonomous landing. The aim of this project is to investigate and design hardware and software components of a proper control system based on image processing algorithms for drone landing on a moving object (such as a boat) using two cameras for stereo vision.

This project is sponsored by Navico.

Type:

Undergraduate

Outcome:

Prerequisites

None

Specialisations

• Computer Systems Engineering
• Electrical and Electronic Engineering
• Software Engineering

Categories

• Image & Voice Processing

Supervisor

• Morteza Biglari-Abhari

Co-supervisor

• Waleed Abdulla

Team

• Andrew Lai
• Helen Pan

Lab

Lab allocations have not been finalised