MAV guidance inspired by priniciples of insect vision

Srinivasan, Mandyam V., Thurrowgood, Saul and Soccol, Dean (2010). MAV guidance inspired by priniciples of insect vision. In Richard Blockley and Wei Shyy (Ed.), Encyclopedia of Aerospace Engineering (pp. x-x) Hoboken, NJ, United States: John Wiley & Sons. doi:10.1002/9780470686652.eae410

Author Srinivasan, Mandyam V.
Thurrowgood, Saul
Soccol, Dean
Title of chapter MAV guidance inspired by priniciples of insect vision
Title of book Encyclopedia of Aerospace Engineering
Place of Publication Hoboken, NJ, United States
Publisher John Wiley & Sons
Publication Year 2010
Sub-type Chapter in textbook
DOI 10.1002/9780470686652.eae410
ISBN 9780470754405
Editor Richard Blockley
Wei Shyy
Volume number 7
Chapter number 34
Start page x
End page x
Total pages 5810
Total chapters 43
Language eng
Abstract/Summary The study of visually guided flight in insects is offering novel, computationally elegant solutions to challenges in machine vision and robot navigation. Insects are remarkably adept at seeing and perceiving the world and navigating in it, despite possessing a brain that weighs less than a milligram and carries fewer than 0.01% as many neurons as ours does. Although most insects lack stereo-vision, they use a number of ingenious strategies for perceiving their world in three dimensions and navigating successfully in it. For example, distances to objects are gauged in terms of the apparent speeds of motion of the objects' images, rather than by using complex stereo mechanisms. Narrow gaps are negotiated by balancing the apparent speeds of the images in the two eyes. Flight speed is regulated by holding constant the average image velocity as seen by both eyes. Bees landing on a horizontal surface hold constant the image velocity of the surface as they approach it, thus automatically ensuring that flight speed is close to zero at touchdown. This chapter describes how some of the strategies described above are being used to design, implement, and test biologically inspired algorithms for the guidance of autonomous aerial vehicles.
Keyword Compound eyes
Optic flow
Autonomous flight
Q-Index Code BX
Q-Index Status Provisional Code
Institutional Status UQ
Additional Notes 9 v. : ill. ; 29 cm. 9 volume set. Part 34: Micro air vehicles, # 354.

Document type: Book Chapter
Collection: Queensland Brain Institute Publications
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Created: Fri, 04 Mar 2011, 16:32:27 EST by Debra McMurtrie on behalf of Queensland Brain Institute