The use of drones has increased dramatically over the last decade, and their applications are diverse, ranging from aerial photography to search and rescue operations. However, controlling a drone in an outdoor environment is challenging due to various obstacles and weather conditions.
Biologically inspired vision, which mimics the way animals process visual information, has shown great potential in improving drone control. This research proposal aims to investigate the use of biologically inspired vision algorithms to control drones in outdoor environments.
The proposed research will involve developing an autonomous drone system that utilizes a camera and a biologically inspired vision algorithm to navigate through obstacles, avoid collisions, and maintain stable flight in outdoor environments.The study will focus on testing the effectiveness of different biologically inspired vision algorithms in controlling the drone, with the aim of identifying the most effective approach.
The findings of this research will contribute to the development of more robust and reliable drone control systems, which can be used in various applications, including surveillance, search and rescue, and environmental monitoring.
How to Apply
Express your interest in this project by emailing Professor Matt Garratt. Include a copy of your CV and your academic transcript(s).
School / Research Area
Engineering and Information Technology
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