Link to the University of Pittsburgh Homepage
Link to the University Library System Homepage Link to the Contact Us Form

SUAVE: Integrating UAV video using a 3D model

Abedin, S and Wang, H and Lewis, M and Brooks, N and Owens, S and Scerri, P and Sycara, K (2011) SUAVE: Integrating UAV video using a 3D model. In: UNSPECIFIED.

[img] Plain Text (licence)
Available under License : See the attached license file.

Download (1kB)

Abstract

Controlling a team of Unmanned Aerial Vehicles (UAV) requires the operator to perform continuous surveillance and path planning. The operator's situation awareness is likely to degrade as an increasing number of surveillance videos must be viewed and integrated. The Picture-in-Picture display (PiP) provides one solution for integrating multiple UAV camera video by allowing the operator to view the video feed in the context of surrounding terrain. The experimental SUAVE (Simple Unmanned Areal Vehicle Environment) display extends PiP methods by sampling imagery from the video stream to texture a 3D map of the terrain. The operator can then inspect this imagery using world in miniature (WIM) or fly-through methods. We investigate the properties and advantages of SUAVE in the context of a search mission with 11 UAVs finding a strong advantage for finding targets While performance is expected to improve with increasing numbers of UAVs we did not find differences in performance between models generated by 11 UAVs and those employing 22 UAVs. © 2011 IEEE.


Share

Citation/Export:
Social Networking:
Share |

Details

Item Type: Conference or Workshop Item (UNSPECIFIED)
Status: Published
Creators/Authors:
CreatorsEmailPitt UsernameORCID
Abedin, S
Wang, H
Lewis, M
Brooks, N
Owens, S
Scerri, P
Sycara, K
Date: 23 December 2011
Date Type: Publication
Journal or Publication Title: Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics
Page Range: 2865 - 2869
Event Type: Conference
DOI or Unique Handle: 10.1109/icsmc.2011.6084116
Schools and Programs: School of Information Sciences > Information Science
Refereed: Yes
ISBN: 9781457706523
ISSN: 1062-922X
Date Deposited: 15 Jun 2012 18:56
Last Modified: 02 Feb 2019 16:58
URI: http://d-scholarship.pitt.edu/id/eprint/12392

Metrics

Monthly Views for the past 3 years

Plum Analytics

Altmetric.com


Actions (login required)

View Item View Item