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Proceedings Paper

Affordable multisensor digital video architecture for 360 degree situational awareness displays
Author(s): Steven P. Scheiner; Dina A. Khan; Alexander L. Marecki; David A. Berman; Dana Carberry
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Paper Abstract

One of the major challenges facing today's military ground combat vehicle operations is the ability to achieve and maintain full-spectrum situational awareness while under armor (i.e. closed hatch). Thus, the ability to perform basic tasks such as driving, maintaining local situational awareness, surveillance, and targeting will require a high-density array of real time information be processed, distributed, and presented to the vehicle operators and crew in near real time (i.e. low latency). Advances in display and sensor technologies are providing never before seen opportunities to supply large amounts of high fidelity imagery and video to the vehicle operators and crew in real time. To fully realize the advantages of these emerging display and sensor technologies, an underlying digital architecture must be developed that is capable of processing these large amounts of video and data from separate sensor systems and distributing it simultaneously within the vehicle to multiple vehicle operators and crew. This paper will examine the systems and software engineering efforts required to overcome these challenges and will address development of an affordable, integrated digital video architecture. The approaches evaluated will enable both current and future ground combat vehicle systems the flexibility to readily adopt emerging display and sensor technologies, while optimizing the Warfighter Machine Interface (WMI), minimizing lifecycle costs, and improve the survivability of the vehicle crew working in closed-hatch systems during complex ground combat operations.

Paper Details

Date Published: 1 June 2011
PDF: 11 pages
Proc. SPIE 8042, Display Technologies and Applications for Defense, Security, and Avionics V; and Enhanced and Synthetic Vision 2011, 80420N (1 June 2011); doi: 10.1117/12.887015
Show Author Affiliations
Steven P. Scheiner, DCS Corp. (United States)
Dina A. Khan, U.S. Army Tank Automotive Research, Development and Engineering Ctr. (United States)
Alexander L. Marecki, U.S. Army Tank Automotive Research, Development and Engineering Ctr. (United States)
David A. Berman, U.S. Army Night Vision & Electronic Sensors Directorate (United States)
Dana Carberry, General Dynamics Robotic Systems (United States)


Published in SPIE Proceedings Vol. 8042:
Display Technologies and Applications for Defense, Security, and Avionics V; and Enhanced and Synthetic Vision 2011
Jeff J. Güell; Kenneth L. Bernier; John Tudor Thomas; Daniel D. Desjardins, Editor(s)

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