Ms. Sofya Tenenbaum Profile

Sofya Tenenbaum

at Charles River Analytics Inc

SPIE Involvement:

Author

Publications (1)

This will count as one of your downloads.

You will have access to both the presentation and article (if available).

DOWNLOAD NOW

This content is available for download via your institution's subscription. To access this item, please sign in to your personal account.

Email or Username Forgot your username?

Password Forgot your password?

Show

Keep me signed in

No SPIE account? Create an account

Proceedings Article | 22 April 2008 Paper

Multi-objective optimization to support mission planning for constellations of unmanned aerial systems

S. Tenenbaum, D. Stouch, K. McGraw, T. Fichtl

Proceedings Volume 6962, 696215 (2008) https://doi.org/10.1117/12.780618

KEYWORDS: Unmanned aerial vehicles, Genetic algorithms, Lawrencium, Sensors, Optimization (mathematics), Genetics, Sensor performance, Data modeling, Intelligence systems, Evolutionary algorithms

Read Abstract +

Unmanned aerial vehicles (UAVs) have proven themselves indispensable in providing intelligence, reconnaissance, and surveillance (ISR). We foresee a future where constellations of multi-purpose UAVs will be tasked to provide ISR in an unpredictable environment. Automated systems will process imagery and other sensor data gathered by the constellations to provide continuous situational awareness for the warfighter on the ground. In this paper, we present a tool that generates coordinated mission plans for constellations of UAVs with multiple goals and objectives. We call this tool Spatially Produced Airspace Routes from Tactical Evolved Networks, or SPARTEN. SPARTEN uses evolutionary algorithm (EA)-based, multi-objective optimization to generate coordinated sortie routes for constellations of UAVs. These sortie routes maximize sensor coverage, avoid conflicts between UAVs, minimize the latency of sensor data, and avoid areas of poor weather to provide valid route solutions. We use an Air Maneuver Network (AMN) based on terrain reasoning to constrain the solution space. We make two contributions to the field of UAV route planning. We develop a tool to optimize planning across multiple objectives for constellations of UAVs, and we explore the performance of this tool on a battlefield scenario.

My Library

You currently do not have any folders to save your paper to! Create a new folder below.

Folder Name

Folder Description

View contact details

UPDATE YOUR PROFILE

Is this your profile? Update it now.

Sign into your SPIE.org account

Don’t have a profile and want one?

Create an account on SPIE.org

Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks. You are receiving this notice because your organization may not have SPIE eBooks access.*

*Shibboleth/Open Athens users─please sign in to access your institution's subscriptions.

To obtain this item, you may purchase the complete book in print or electronic format on SPIE.org.

ORGANIZATIONAL
Sign in with credentials provided by your organization.

Organizational Username

Organizational Password

Show/Hide Password

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:

Non-members: ADD TO CART

Keywords/Phrases

Search In:

Publication Years