Optimised autonomous search pattern evaluation using the Cerberus framework

C. Angell; M. Bernhardt

doi:10.1117/12.777359

11 April 2008 Optimised autonomous search pattern evaluation using the Cerberus framework

C. Angell, M. Bernhardt

Proceedings Volume 6965, Modeling and Simulation for Military Operations III; 696509 (2008) https://doi.org/10.1117/12.777359
Event: SPIE Defense and Security Symposium, 2008, Orlando, Florida, United States

Abstract

There is an increasing emphasis on the intelligent use of multiple sensor assets within military applications which is driven by a number of factors. Firstly, the deployment of multiple, co-operative sensors can provide a much greater situational awareness which is a key factor in military decision making at both strategic and tactical levels. Secondly, through careful and timely asset management, military tempo and effectiveness can be maintained and even enhanced such that the mission objectives are optimally prosecuted. Thirdly, intrinsic limitations of individual sensors and their processing demands can be reduced or even eliminated. From a mission perspective, this renders the constraints and frailties of the associated with the sensor network transparent to the military end users. Underpinning all of these factors is the need to adaptively control and manipulate the various sensor search vectors in both space and time. Such a design and operational capability is provided through Cerberus, an advanced design tool developed by Waterfall Solutions Ltd. Within this paper, investigations into a range of different military applications using the Cerberus design environment are reported and assessed in terms of the associated military objectives. These applications include the use of both manned and uninhabited air vehicles as well as land and sea based sensor platforms. The use and benefits of available a priori knowledge such as digital terrain data and mission intelligence can also be exploited within the Cerberus environment to great military advantage.

Citation Download Citation

C. Angell and M. Bernhardt "Optimised autonomous search pattern evaluation using the Cerberus framework", Proc. SPIE 6965, Modeling and Simulation for Military Operations III, 696509 (11 April 2008); https://doi.org/10.1117/12.777359

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members: $17.00

Non-members: $21.00 ADD TO CART

PROCEEDINGS
12 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Sensors

Detection and tracking algorithms

Algorithm development

Target detection

Computer simulations

Data fusion

Monte Carlo methods

Show All Keywords

Keywords/Phrases

Search In:

Publication Years