Leveraging ROC adjustments for optimizing UUV risk-based search planning

John G. Baylog; Thomas A. Wettergren

doi:10.1117/12.2264942

3 May 2017 Leveraging ROC adjustments for optimizing UUV risk-based search planning

John G. Baylog, Thomas A. Wettergren

Proceedings Volume 10182, Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XXII; 101820O (2017) https://doi.org/10.1117/12.2264942
Event: SPIE Defense + Security, 2017, Anaheim, CA, United States

Abstract

Search planning for UUV missions involves a complex optimization problem over multiple degrees of freedom. The detection performance of individual searches is governed by the local environment and the sensor settings that determine the rate at which target objects of interest can be identified. This paper addresses some of the computational aspects of collaborative search planning when multiple search agents seek to find hidden objects (i.e. mines) in adverse local operating environments where the detection process is prone to false alarms. For these conditions, we apply a receiver operator characteristic (ROC) analysis to model detection performance and develop a Bayesian risk objective that enumerates the required number of detections for validation as part of the modeling paradigm. In this paper we consider an expanded optimization process whereby ROC operating points are optimized simultaneously for all validation criteria with the best performing combinations selected. Details of its application within a broader search planning context are discussed. An analysis of this optimization process is presented. Numerical results are provided to demonstrate the effectiveness of the approach.

Conference Presentation

Citation Download Citation

John G. Baylog and Thomas A. Wettergren "Leveraging ROC adjustments for optimizing UUV risk-based search planning", Proc. SPIE 10182, Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XXII, 101820O (3 May 2017); https://doi.org/10.1117/12.2264942

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