Near real-time, on-the-move multisensor integration and computing framework

Chris Burnette; Matt Schneider; Sanjeev Agarwal; Diane Deterline; Chris Geyer; Chung D. Phan; Richard M. Lydic Jr.; Kevin Green; Bruce Swett

doi:10.1117/12.2177760

14 May 2015 Near real-time, on-the-move multisensor integration and computing framework

Chris Burnette, Matt Schneider, Sanjeev Agarwal, Diane Deterline, Chris Geyer, Chung D. Phan, Richard M. Lydic Jr., Kevin Green, Bruce Swett

Author Affiliations +

Proceedings Volume 9454, Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XX; 94540N (2015) https://doi.org/10.1117/12.2177760
Event: SPIE Defense + Security, 2015, Baltimore, MD, United States

Abstract

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.

Citation Download Citation

Chris Burnette, Matt Schneider, Sanjeev Agarwal, Diane Deterline, Chris Geyer, Chung D. Phan, Richard M. Lydic Jr., Kevin Green, and 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); https://doi.org/10.1117/12.2177760

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