Optimal search strategies for Unmanned Aerial Vehicles

Mark P. DeAngelo, Joseph Francis Horn, Michael W. Roeckel

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

2 Citations (Scopus)

Abstract

This work presents a method for deriving efficient search strategies for an autonomous unmanned aerial system (UAS). First the method is used to optimize flight path for an airplane with a simple downward-pointing fixed camera. The aircraft performs banking maneuvers in order to expand the search area. In that case, the optimizer solves for the best airplane speed, bank angle, maximum heading change, and average flight path separation subjected to the constraints of the airplane, the camera, and the relative size of the target on the ground. Next, the method is used to maximize the amount of ground area viewed by a pan-tilt-zoom camera mounted to an airplane subjected to constraints of the camera, airplane performance, and the relative size of the target on the ground. An optimizer solves for the best camera angles, zoom setting, and the flight path separation between parallel searches. The input parameters used in the simulation results of this paper are specific to a low-cost / low-altitude UAS, but the method can be generalized for application with different aircraft and camera systems. As expected, the gimbaled camera configuration is capable of searching more area than the fixed downward-pointing camera configuration, however, the fixed camera is more competitive than expected. Finally, a flight test with the fixed camera is flown to compare with the simulation results.

Original languageEnglish (US)
Title of host publicationAIAA Guidance, Navigation, and Control Conference 2012
StatePublished - Dec 1 2012
EventAIAA Guidance, Navigation, and Control Conference 2012 - Minneapolis, MN, United States
Duration: Aug 13 2012Aug 16 2012

Other

OtherAIAA Guidance, Navigation, and Control Conference 2012
CountryUnited States
CityMinneapolis, MN
Period8/13/128/16/12

Fingerprint

Unmanned aerial vehicles (UAV)
Cameras
Aircraft
Flight paths
Antennas

All Science Journal Classification (ASJC) codes

  • Aerospace Engineering
  • Control and Systems Engineering
  • Electrical and Electronic Engineering

Cite this

DeAngelo, M. P., Horn, J. F., & Roeckel, M. W. (2012). Optimal search strategies for Unmanned Aerial Vehicles. In AIAA Guidance, Navigation, and Control Conference 2012
DeAngelo, Mark P. ; Horn, Joseph Francis ; Roeckel, Michael W. / Optimal search strategies for Unmanned Aerial Vehicles. AIAA Guidance, Navigation, and Control Conference 2012. 2012.
@inproceedings{9d8a46b1a8f84ccfa5d4426c8485ffc9,
title = "Optimal search strategies for Unmanned Aerial Vehicles",
abstract = "This work presents a method for deriving efficient search strategies for an autonomous unmanned aerial system (UAS). First the method is used to optimize flight path for an airplane with a simple downward-pointing fixed camera. The aircraft performs banking maneuvers in order to expand the search area. In that case, the optimizer solves for the best airplane speed, bank angle, maximum heading change, and average flight path separation subjected to the constraints of the airplane, the camera, and the relative size of the target on the ground. Next, the method is used to maximize the amount of ground area viewed by a pan-tilt-zoom camera mounted to an airplane subjected to constraints of the camera, airplane performance, and the relative size of the target on the ground. An optimizer solves for the best camera angles, zoom setting, and the flight path separation between parallel searches. The input parameters used in the simulation results of this paper are specific to a low-cost / low-altitude UAS, but the method can be generalized for application with different aircraft and camera systems. As expected, the gimbaled camera configuration is capable of searching more area than the fixed downward-pointing camera configuration, however, the fixed camera is more competitive than expected. Finally, a flight test with the fixed camera is flown to compare with the simulation results.",
author = "DeAngelo, {Mark P.} and Horn, {Joseph Francis} and Roeckel, {Michael W.}",
year = "2012",
month = "12",
day = "1",
language = "English (US)",
isbn = "9781600869389",
booktitle = "AIAA Guidance, Navigation, and Control Conference 2012",

}

DeAngelo, MP, Horn, JF & Roeckel, MW 2012, Optimal search strategies for Unmanned Aerial Vehicles. in AIAA Guidance, Navigation, and Control Conference 2012. AIAA Guidance, Navigation, and Control Conference 2012, Minneapolis, MN, United States, 8/13/12.

Optimal search strategies for Unmanned Aerial Vehicles. / DeAngelo, Mark P.; Horn, Joseph Francis; Roeckel, Michael W.

AIAA Guidance, Navigation, and Control Conference 2012. 2012.

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

TY - GEN

T1 - Optimal search strategies for Unmanned Aerial Vehicles

AU - DeAngelo, Mark P.

AU - Horn, Joseph Francis

AU - Roeckel, Michael W.

PY - 2012/12/1

Y1 - 2012/12/1

N2 - This work presents a method for deriving efficient search strategies for an autonomous unmanned aerial system (UAS). First the method is used to optimize flight path for an airplane with a simple downward-pointing fixed camera. The aircraft performs banking maneuvers in order to expand the search area. In that case, the optimizer solves for the best airplane speed, bank angle, maximum heading change, and average flight path separation subjected to the constraints of the airplane, the camera, and the relative size of the target on the ground. Next, the method is used to maximize the amount of ground area viewed by a pan-tilt-zoom camera mounted to an airplane subjected to constraints of the camera, airplane performance, and the relative size of the target on the ground. An optimizer solves for the best camera angles, zoom setting, and the flight path separation between parallel searches. The input parameters used in the simulation results of this paper are specific to a low-cost / low-altitude UAS, but the method can be generalized for application with different aircraft and camera systems. As expected, the gimbaled camera configuration is capable of searching more area than the fixed downward-pointing camera configuration, however, the fixed camera is more competitive than expected. Finally, a flight test with the fixed camera is flown to compare with the simulation results.

AB - This work presents a method for deriving efficient search strategies for an autonomous unmanned aerial system (UAS). First the method is used to optimize flight path for an airplane with a simple downward-pointing fixed camera. The aircraft performs banking maneuvers in order to expand the search area. In that case, the optimizer solves for the best airplane speed, bank angle, maximum heading change, and average flight path separation subjected to the constraints of the airplane, the camera, and the relative size of the target on the ground. Next, the method is used to maximize the amount of ground area viewed by a pan-tilt-zoom camera mounted to an airplane subjected to constraints of the camera, airplane performance, and the relative size of the target on the ground. An optimizer solves for the best camera angles, zoom setting, and the flight path separation between parallel searches. The input parameters used in the simulation results of this paper are specific to a low-cost / low-altitude UAS, but the method can be generalized for application with different aircraft and camera systems. As expected, the gimbaled camera configuration is capable of searching more area than the fixed downward-pointing camera configuration, however, the fixed camera is more competitive than expected. Finally, a flight test with the fixed camera is flown to compare with the simulation results.

UR - http://www.scopus.com/inward/record.url?scp=84880609737&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84880609737&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:84880609737

SN - 9781600869389

BT - AIAA Guidance, Navigation, and Control Conference 2012

ER -

DeAngelo MP, Horn JF, Roeckel MW. Optimal search strategies for Unmanned Aerial Vehicles. In AIAA Guidance, Navigation, and Control Conference 2012. 2012