INSECT-INSPIRED MINIATURE AIR VEHICLE OBSTACLE DETECTION
Funni, David A.
Fargues, Monique P.
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In order to fly autonomously, micro air vehicles (MAV) must understand the surrounding three-dimensional environment. Due to size, weight, and power constraints, the collection and processing of environmental data must be done in the most efficient way possible. Biological and neurological research on insect vision has led to computationally inexpensive techniques for detecting the relative distance to objects. In this thesis we will develop and test an efficient implementation of these techniques to process video captured by a single camera sensor.
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