Advanced integrated enhanced vision systems

Richard R. Kerr, Chiu Hung Luk, Dan Hammerstrom, Misha Pavel

Research output: Contribution to journalConference articlepeer-review

1 Scopus citations

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; inertial, 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.

Original languageEnglish (US)
Pages (from-to)90-101
Number of pages12
JournalProceedings of SPIE - The International Society for Optical Engineering
Volume5081
DOIs
StatePublished - Dec 1 2003
EventEnhanced and Synthetic Vision 2003 - Orlando, FL, United States
Duration: Apr 21 2003Apr 21 2003

Keywords

  • Enhanced vision
  • Ground-map correlation
  • Sensor fusion

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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