Paper
5 May 2009 Real-time 360° imaging system for situational awareness
Author Affiliations +
Abstract
Maintaining tactical superiority in a complex battlespace, with asymmetric threats, dictates the need for a real-time, high throughput imaging system that provides the user with an intuitive and effective means of achieving imaging situational awareness quickly and continuously. As systems and sensors grow in both number and intricacy, situational awareness necessitates presenting large amounts of data in an easily understandable manner to the operator to avoid fatigue and overload. This paper discusses how we achieved real-time, 360° imaging awareness and presents a demonstrated prototype. The imaging system architecture is described with emphasis on the dedicated high-speed image processor which provides the real-time panoramic stitching, digital zoom and image stabilization. The image processor is designed around a high-speed, state-of-the-art Commercial-off-the-shelf (COTS) FPGA architecture that executes algorithms on these high speed digital video streams with less than 100ms of latency. Field test results are presented from recent at-sea and ground vehicle data collects. Planned future expansions to the system are outlined such as the capacity for higher resolution, infrared capability, and the planned platform integration efforts. Other important lessons learned as a result of this development are also presented throughout the paper.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Michael K. Rose, Jesse Chamberlain, and Daniel LaValley "Real-time 360° imaging system for situational awareness", Proc. SPIE 7305, Sensors, and Command, Control, Communications, and Intelligence (C3I) Technologies for Homeland Security and Homeland Defense VIII, 73050D (5 May 2009); https://doi.org/10.1117/12.818757
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Cited by 3 scholarly publications.
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KEYWORDS
Video processing

Sensors

Imaging systems

Video

Image processing

Head

Cameras

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