Comparison of Optic Flow in the Visible Light and Infrared Specturms

dc.contributor.advisorHumbert, James Sen_US
dc.contributor.authorChinn, Michael Williamen_US
dc.contributor.departmentAerospace Engineeringen_US
dc.contributor.publisherDigital Repository at the University of Marylanden_US
dc.contributor.publisherUniversity of Maryland (College Park, Md.)en_US
dc.description.abstractInsects 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.subject.pqcontrolledEngineering, Aerospaceen_US
dc.subject.pqcontrolledEngineering, Electronics and Electricalen_US
dc.subject.pquncontrolledAutonomous Vehiclesen_US
dc.subject.pquncontrolledOptic Flowen_US
dc.subject.pquncontrolledVisual Navigationen_US
dc.subject.pquncontrolledWide Field Integrationen_US
dc.titleComparison of Optic Flow in the Visible Light and Infrared Specturmsen_US


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