Autonomous ground-based tracking of migrating raptors using vision

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The following paper presents the design and simulation of a system of ground-based stereo cameras to enable the autonomous tracking of migratory raptors in order to facilitate the study of their flight patterns. A number of stations consisting of a camera pair and a processor are set up along the ridge under observation. Each station computes an estimate of the position and velocity of the birds viewed by its cameras using an Unscented Kalman Filter. The estimates from each station are transmitted to a master computer that fuses all the independent estimates and transmits the resulting estimate back to all the stations. Results of Monte Carlo simulations show the convergence of the estimated error to the true error for estimates from one or more stations.

Original languageEnglish (US)
Title of host publicationAIAA Guidance, Navigation and Control Conference and Exhibit
Publication statusPublished - Dec 1 2008
EventAIAA Guidance, Navigation and Control Conference and Exhibit - Honolulu, HI, United States
Duration: Aug 18 2008Aug 21 2008

Publication series

NameAIAA Guidance, Navigation and Control Conference and Exhibit

Other

OtherAIAA Guidance, Navigation and Control Conference and Exhibit
CountryUnited States
CityHonolulu, HI
Period8/18/088/21/08

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All Science Journal Classification (ASJC) codes

  • Aerospace Engineering
  • Control and Systems Engineering

Cite this

Sarfraz, S., & Langelaan, J. W. (2008). Autonomous ground-based tracking of migrating raptors using vision. In AIAA Guidance, Navigation and Control Conference and Exhibit [2008-7444] (AIAA Guidance, Navigation and Control Conference and Exhibit).