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Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Model-Based Control Using Model and Mechanization Fusion Techniques for Image-Aided Navigation

Model-Based Control Using Model and Mechanization Fusion Techniques for Image-Aided Navigation

Paperback

Technology & EngineeringGeneral Education

ISBN10: 1288334206
ISBN13: 9781288334209
Publisher: Biblioscholar
Published: Nov 21 2012
Pages: 142
Weight: 0.46
Height: 0.30 Width: 6.14 Depth: 9.21
Language: English

Unmanned aerial vehicles are no longer used for just reconnaissance. Current requirements call for smaller autonomous vehicles that replace the human in high-risk activities. Many times these activities are performed in GPS-degraded environments. Without GPS providing today's most accurate navigation solution, autonomous navigation in tight areas is more difficult. Today, image-aided navigation is used and other methods are explored to more accurately navigate in such areas (e.g., indoors). This thesis explores the use of inertial measurements and navigation solution updates using cameras with a model-based Linear Quadratic Gaussian controller. To demonstrate the methods behind this research, the controller will provide inputs to a micro-sized helicopter that allows the vehicle to maintain hover. A new method for obtaining a more accurate navigation solution was devised, originating from the following basic setup.

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