Paper
23 September 2003 Advanced integrated enhanced vision systems
J. Richard Kerr, Chiu Hung Luk, Dan Hammerstrom, Misha Pavel
Author Affiliations +
Abstract
In anticipation of its ultimate role in transport, business and rotary wing aircraft, we clarify the role of Enhanced Vision Systems (EVS): how the output data will be utilized, appropriate architecture for total avionics integration, pilot and control interfaces, and operational utilization. Ground-map (database) correlation is critical, and we suggest that "synthetic vision" is simply a subset of the monitor/guidance interface issue. The core of integrated EVS is its sensor processor. In order to approximate optimal, Bayesian multi-sensor fusion and ground correlation functionality in real time, we are developing a neural net approach utilizing human visual pathway and self-organizing, associative-engine processing. In addition to EVS/SVS imagery, outputs will include sensor-based navigation and attitude signals as well as hazard detection. A system architecture is described, encompassing an all-weather sensor suite; advanced processing technology; intertial, GPS and other avionics inputs; and pilot and machine interfaces. Issues of total-system accuracy and integrity are addressed, as well as flight operational aspects relating to both civil certification and military applications in IMC.
© (2003) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
J. Richard Kerr, Chiu Hung Luk, Dan Hammerstrom, and Misha Pavel "Advanced integrated enhanced vision systems", Proc. SPIE 5081, Enhanced and Synthetic Vision 2003, (23 September 2003); https://doi.org/10.1117/12.497422
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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
Sensors

Enhanced vision

Visualization

Databases

Extremely high frequency

Human-machine interfaces

Image processing

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