Bedoukian   RussellIPM   RussellIPM   Piezoelectric Micro-Sprayer


Home
Animal Taxa
Plant Taxa
Semiochemicals
Floral Compounds
Semiochemical Detail
Semiochemicals & Taxa
Synthesis
Control
Invasive spp.
References

Abstract

Guide

Alphascents
Pherobio
InsectScience
E-Econex
Counterpart-Semiochemicals
Print
Email to a Friend
Kindly Donate for The Pherobase

« Previous AbstractMonitoring of occupational exposure to volatile organohalogen solvents (VOXs) in human urine samples of dry-cleaner workers by TLHS-DAI-GC-ECD procedure    Next AbstractFirst report of an attractant for a tumbling flower beetle (Coleoptera: Mordellidae) »

Biol Cybern


Title:Egomotion estimation with optic flow and air velocity sensors
Author(s):Rutkowski AJ; Miller MM; Quinn RD; Willis MA;
Address:"Air Force Research Laboratory/RW, Eglin AFB, FL 32542, USA. adam.rutkowski@eglin.af.mil"
Journal Title:Biol Cybern
Year:2011
Volume:20110705
Issue:6
Page Number:351 - 367
DOI: 10.1007/s00422-011-0440-z
ISSN/ISBN:1432-0770 (Electronic) 0340-1200 (Linking)
Abstract:"We develop a method that allows a flyer to estimate its own motion (egomotion), the wind velocity, ground slope, and flight height using only inputs from onboard optic flow and air velocity sensors. Our artificial algorithm demonstrates how it could be possible for flying insects to determine their absolute egomotion using their available sensors, namely their eyes and wind sensitive hairs and antennae. Although many behaviors can be performed by only knowing the direction of travel, behavioral experiments indicate that odor tracking insects are able to estimate the wind direction and control their absolute egomotion (i.e., groundspeed). The egomotion estimation method that we have developed, which we call the opto-aeronautic algorithm, is tested in a variety of wind and ground slope conditions using a video recorded flight of a moth tracking a pheromone plume. Over all test cases that we examined, the algorithm achieved a mean absolute error in height of 7% or less. Furthermore, our algorithm is suitable for the navigation of aerial vehicles in environments where signals from the Global Positioning System are unavailable"
Keywords:"Aircraft/instrumentation *Algorithms Animals *Computer Simulation *Flight, Animal Insecta/*physiology Male *Models, Biological *Models, Theoretical Moths/physiology Motion Perception/*physiology Pheromones Rheology Sensory Receptor Cells/physiology Video;"
Notes:"MedlineRutkowski, Adam J Miller, Mikel M Quinn, Roger D Willis, Mark A eng Research Support, Non-U.S. Gov't Germany 2011/07/06 Biol Cybern. 2011 Jun; 104(6):351-67. doi: 10.1007/s00422-011-0440-z. Epub 2011 Jul 5"

 
Back to top
 
Citation: El-Sayed AM 2024. The Pherobase: Database of Pheromones and Semiochemicals. <http://www.pherobase.com>.
© 2003-2024 The Pherobase - Extensive Database of Pheromones and Semiochemicals. Ashraf M. El-Sayed.
Page created on 19-12-2024