Modular robotics and intelligent imaging for unmanned systems

Chung-Hao Chen; Chang Cheng; David Page; Andreas Koschan; Mongi Abidi

doi:10.1117/12.666444

9 May 2006 Modular robotics and intelligent imaging for unmanned systems

Chung-Hao Chen, Chang Cheng, David Page, Andreas Koschan, Mongi Abidi

Proceedings Volume 6230, Unmanned Systems Technology VIII; 623006 (2006) https://doi.org/10.1117/12.666444
Event: Defense and Security Symposium, 2006, Orlando (Kissimmee), Florida, United States

Abstract

The Imaging, Robotics, and Intelligent Systems (IRIS) Laboratory at the University of Tennessee is currently developing a modular approach to unmanned systems to increase mission flexibility and aid system interoperability for security and surveillance applications. The main focus of the IRIS research is the development of sensor bricks where the term brick denotes a self-contained system that consists of the sensor itself, a processing unit, wireless communications, and a power source. Prototypes of a variety of sensor bricks have been developed. These systems include a thermal imaging brick, a quad video brick, a 3D range brick, and a nuclear (gamma ray and neutron) detection bricks. These bricks have been integrated in a modular fashion into mobility platforms to form functional unmanned systems. Research avenues include sensor processing algorithms, system integration, communications architecture, multi-sensor fusion, sensor planning, sensor-based localization, and path planning. This research is focused towards security and surveillance applications such as under vehicle inspection, wide-area perimeter surveillance, and high value asset monitoring. This paper presents an overview of the IRIS research activities in modular robotics and includes results from prototype systems.

Citation Download Citation

Chung-Hao Chen, Chang Cheng, David Page, Andreas Koschan, and Mongi Abidi "Modular robotics and intelligent imaging for unmanned systems", Proc. SPIE 6230, Unmanned Systems Technology VIII, 623006 (9 May 2006); https://doi.org/10.1117/12.666444

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