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Proceedings Paper

Unmanned vehicle technology for networked non-line-of-sight sensing applications
Author(s): Miguel Gates; Gary Pepper; Atindra K. Mitra; Colin Hu; Saleh Zein-Sabatto; Tamara Rogers; Rastko Selmic; Elrasheed Hamdan; Mohan Malkani
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Paper Abstract

We discuss the development, design, implementation, and demonstration of a robotic UGV (Unmanned Ground Vehicle) system for networked and non-line-of-sight sensing applications. Our development team is comprised of AFRL Summer Interns, University Faculty, and Personnel from AFRL. The system concept is based on a previously published technique known as "Dual-UAV Tandems for Indirect Operator-Assisted Control" [1]. This architecture is based on simulating a Mini-UAV Helicopter with a building-mounted camera and simulating a low-flying QuadRotor Helicopter with a Robotics UGV. The Robotics UGV is fitted with a custom-designed sensor boom and a surrogate chem/bio (Carbon Monoxide) PCB sensor extracted from a COTS (Commercial-Off-The-Shelf) product. The CO Sensor apparatus is co-designed with the sensor boom and is fitted with a transparent covering for protection and to promote CO (surrogate chem/bio) flow onto the sensor. The philosophy behind this non-line-of-sight system is to relay video of the UGV to an Operator station for purposes of investigating "Indirect Operator-Assisted Control" of the UGV via observation of the relayed EO video at the operator station. This would serve as a sensor fusion, giving the operator visual cues of the chemical under detection, enabling him to position the UGV in areas of higher concentration. We recorded this data, and analyzed the best approach given a test matrix of multiple scenarios, with the goal of determining the feasibility of using this layered sensing approach and the system accuracy in open field tests. For purposes of collecting scientific data with this system, we developed a Test (data collection) Matrix with following three parameters: 1. Chem/Bio detection level with side-looking sensor boom and slowly traversing UGV; 2. Chem/Bio detection level with panning sensor boom and slowly traversing UGV; 3. Chem/Bio detection level with forward-looking sensor boom and operator-assisted steering based on onboard wind vane readings of UGV display that is overlayed onto relayed video. In addition to reporting the trends and results of analysis with regard to data collected with this Test Matrix, we discuss potential approaches to upgrading our networked robotics UGV system and also introduce the concept of "swapping sensors" with this low-cost networked sensor concept.

Paper Details

Date Published: 12 May 2010
PDF: 10 pages
Proc. SPIE 7694, Ground/Air Multi-Sensor Interoperability, Integration, and Networking for Persistent ISR, 76940V (12 May 2010); doi: 10.1117/12.844891
Show Author Affiliations
Miguel Gates, Louisiana Tech Univ. (United States)
Gary Pepper, Tennessee State Univ. (United States)
Atindra K. Mitra, Air Force Research Lab. (United States)
Colin Hu, Air Force Research Lab. (United States)
Saleh Zein-Sabatto, Tennessee State Univ. (United States)
Tamara Rogers, Tennessee State Univ. (United States)
Rastko Selmic, Louisiana Tech Univ. (United States)
Elrasheed Hamdan, North Carolina A&T State Univ. (United States)
Mohan Malkani, Tennessee State Univ. (United States)


Published in SPIE Proceedings Vol. 7694:
Ground/Air Multi-Sensor Interoperability, Integration, and Networking for Persistent ISR
Michael A. Kolodny, Editor(s)

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