Timings, James (2013) Unmanned aerial vehicle static object detection. [USQ Project]
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Abstract
The Outback Challenge competition held in Kingaroy each year is used to test commercial and private teams to come up with an Unmanned Aerial Vehicle capable of scanning a specified area to find a lost bushwalker using a vision system.
This dissertation aims to outline the development and implementation of a vision processing system capable of finding a lost bushwalker using the colour of his clothes.
Unmanned Aerial Vehicles have long been in the realm of big business and government organisations. Their cost, limited ability, and fragility have kept their use from becoming mainstream. However, all that is set to change now that UAVs are becoming cheap and robust. A fully autonomous fixed wing aircraft, with a flight time of over an hour, can be had for as little as $300.
As the technology of unmanned aerial vehicles (UAVs) becomes more commonplace, finding functions for them to perform becomes the realm of the engineer. As of now, UAVs are not widely used in civilian life and are therefore an exciting field to use as a base for a research project.
Due to the popularity of smartphones, the cost of digital cameras and small powerful computers is rapidly decreasing. As a result computer vision is another exciting field which is becoming more available to the public. Features such as facial recognition and gesture control are examples of implementations of computer vision in modern smart phones.
Together, UAVs and computer vision allow us to create systems which are able to do the jobs that previously required manned vehicles to complete, thus increasing efficiency, speed and safety.
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Statistics for this ePrint Item |
| Item Type: | USQ Project |
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| Item Status: | Live Archive |
| Faculty/School / Institute/Centre: | Historic - Faculty of Health, Engineering and Sciences - School of Mechanical and Electrical Engineering (1 Jul 2013 - 31 Dec 2021) |
| Supervisors: | Low, Tobias |
| Date Deposited: | 24 Jun 2014 02:26 |
| Last Modified: | 24 Jun 2014 02:26 |
| Uncontrolled Keywords: | unmanned aerial vehicles; uav; static object detection; outback challenge |
| Fields of Research (2008): | 09 Engineering > 0901 Aerospace Engineering > 090199 Aerospace Engineering not elsewhere classified 09 Engineering > 0913 Mechanical Engineering > 091303 Autonomous Vehicles |
| Fields of Research (2020): | 40 ENGINEERING > 4001 Aerospace engineering > 400199 Aerospace engineering not elsewhere classified 40 ENGINEERING > 4007 Control engineering, mechatronics and robotics > 400703 Autonomous vehicle systems |
| URI: | https://sear.unisq.edu.au/id/eprint/24720 |
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