14 May 2015 Near real-time, on-the-move multisensor integration and computing framework
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Implanted mines and improvised devices are a persistent threat to Warfighters. Current Army countermine missions for route clearance need on-the-move standoff detection to improve the rate of advance. Vehicle-based forward looking sensors such as electro-optical and infrared (EO/IR) devices can be used to identify potential threats in near real-time (NRT) at safe standoff distance to support route clearance missions. The MOVERS (Micro-Cloud for Operational, Vehicle-Based EO-IR Reconnaissance System) is a vehicle-based multi-sensor integration and exploitation system that ingests and processes video and imagery data captured from forward-looking EO/IR and thermal sensors, and also generates target/feature alerts, using the Video Processing and Exploitation Framework (VPEF) “plug and play” video processing toolset. The MOVERS Framework provides an extensible, flexible, and scalable computing and multi-sensor integration GOTS framework that enables the capability to add more vehicles, sensors, processors or displays, and a service architecture that provides low-latency raw video and metadata streams as well as a command and control interface. Functionality in the framework is exposed through the MOVERS SDK which decouples the implementation of the service and client from the specific communication protocols.
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Chris Burnette, Chris Burnette, Matt Schneider, Matt Schneider, Sanjeev Agarwal, Sanjeev Agarwal, Diane Deterline, Diane Deterline, Chris Geyer, Chris Geyer, Chung D. Phan, Chung D. Phan, Richard M. Lydic, Richard M. Lydic, Kevin Green, Kevin Green, Bruce Swett, Bruce Swett, "Near real-time, on-the-move multisensor integration and computing framework", Proc. SPIE 9454, Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XX, 94540N (14 May 2015); doi: 10.1117/12.2177760; https://doi.org/10.1117/12.2177760

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