You are not logged in.
Openly accessible

Towards autonomous image fusion

Hossny, Mohammed, Nahavandi, Saeid, Creighton, Doug and Bhatti, Asim 2010, Towards autonomous image fusion, in ICARCV 2010 : 11th International Conference on Control, Automation, Robotics and Vision, IEEE, Piscataway, N.J., pp. 1748-1754.

Attached Files
Name Description MIMEType Size Downloads
hossny-towardsautonomous-2010.pdf Published version application/pdf 2.30MB 138

Title Towards autonomous image fusion
Author(s) Hossny, MohammedORCID iD for Hossny, Mohammed orcid.org/0000-0002-1593-6296
Nahavandi, SaeidORCID iD for Nahavandi, Saeid orcid.org/0000-0002-0360-5270
Creighton, DougORCID iD for Creighton, Doug orcid.org/0000-0002-9217-1231
Bhatti, AsimORCID iD for Bhatti, Asim orcid.org/0000-0001-6876-1437
Conference name IEEE International Conference on Control, Automation, Robotics & Vision (11th : 2010 : Singapore)
Conference location Singapore
Conference dates 7-10 Dec. 2010
Title of proceedings ICARCV 2010 : 11th International Conference on Control, Automation, Robotics and Vision
Editor(s) [Unknown]
Publication date 2010
Conference series International Conference on Control, Automation, Robotics and Vision
Start page 1748
End page 1754
Total pages 7
Publisher IEEE
Place of publication Piscataway, N.J.
Keyword(s) autonomous
image fusion
Type I
Type II
fusion capacity
Summary Mobile robots are providing great assistance operating in hazardous environments such as nuclear cores, battlefields, natural disasters, and even at the nano-level of human cells. These robots are usually equipped with a wide variety of sensors in order to collect data and guide their navigation. Whether a single robot operating all sensors or a swarm of cooperating robots operating their special sensors, the captured data can be too large to be transferred across limited resources (e.g. bandwidth, battery, processing, and response time) in hazardous environments. Therefore, local computations have to be carried out on board the swarming robots to assess the worthiness of captured data and the capacity of fused information in a certain spatial dimension as well as selection of proper combination of fusion algorithms and metrics. This paper introduces to the concepts of Type-I and Type-II fusion errors, fusion capacity, and fusion worthiness. These concepts together form the ladder leading to autonomous fusion systems.
Notes This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.
ISBN 1424478154
9781424478156
Language eng
Field of Research 090609 Signal Processing
Socio Economic Objective 810199 Defence not elsewhere classified
HERDC Research category E1 Full written paper - refereed
HERDC collection year 2010
Copyright notice ©2010, IEEE
Free to Read? Yes
Persistent URL http://hdl.handle.net/10536/DRO/DU:30034530

Document type: Conference Paper
Collections: Centre for Intelligent Systems Research
Open Access Collection
Connect to link resolver
 
Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved.

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.

Versions
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 8 times in TR Web of Science
Scopus Citation Count Cited 12 times in Scopus
Google Scholar Search Google Scholar
Access Statistics: 406 Abstract Views, 144 File Downloads  -  Detailed Statistics
Created: Mon, 09 May 2011, 18:14:55 EST by Sandra Dunoon

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.