Comparison of Optic Flow in the Visible Light and Infrared Specturms
dc.contributor.advisor | Humbert, James S | en_US |
dc.contributor.author | Chinn, Michael William | en_US |
dc.contributor.department | Aerospace Engineering | en_US |
dc.contributor.publisher | Digital Repository at the University of Maryland | en_US |
dc.contributor.publisher | University of Maryland (College Park, Md.) | en_US |
dc.date.accessioned | 2010-02-19T06:30:06Z | |
dc.date.available | 2010-02-19T06:30:06Z | |
dc.date.issued | 2008 | en_US |
dc.description.abstract | Insects use a method of Wide Field Integration (WFI) to navigate efficiently through unknown environments. Using these natural paradigms, various WFI based forms of navigation can be implemented based on electro-mechanical vision devices on robotic vehicles. However, under low light and/or suspended particles in the environment, these methods become less useful. One solution to this problem is to use infrared vision sensors rather than visible light sensors. This would allow insect-like navigation for autonomous vehicles under a variety of lighting conditions, including a total lack of visible light. The results show that, using infrared sensors, it is possible to navigate under a variety of lighting conditions, even where visible light sensors become ineffective. | en_US |
dc.identifier.uri | http://hdl.handle.net/1903/9806 | |
dc.subject.pqcontrolled | Engineering, Aerospace | en_US |
dc.subject.pqcontrolled | Engineering, Electronics and Electrical | en_US |
dc.subject.pquncontrolled | Autonomous Vehicles | en_US |
dc.subject.pquncontrolled | Optic Flow | en_US |
dc.subject.pquncontrolled | Visual Navigation | en_US |
dc.subject.pquncontrolled | Wide Field Integration | en_US |
dc.title | Comparison of Optic Flow in the Visible Light and Infrared Specturms | en_US |
dc.type | Thesis | en_US |
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