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Prospects for the Intellectualization of State-of-the-Art Aviation Systems
- Source :
- Herald of the Russian Academy of Sciences. 88:28-36
- Publication Year :
- 2018
- Publisher :
- Pleiades Publishing Ltd, 2018.
-
Abstract
- This article, based on a paper heard at a meeting of the RAS Presidium, analyzes the main problems of and trends in the intellectualization of state-of-the-art aviation complexes. The obtaining and intelligent processing of heterogeneous information, intelligent management, and aircraft “self-sensing,” as well as intelligent interaction within the pilot–aircraft contour, are highlighted as key functional objectives for the foreseeable future. The primary focus is made on the intelligent processing of measuring and video information, including the automatic mutual referencing and uniting of measuring and geospatial information into a visual complex; continuous provision of an accurate, authentic, and holistic image of the surroundings to the crew, regardless of weather and time conditions; recognition and prediction of dangerous combinations of factors considering the flight path; assessment of the crew’s psychophysiological condition; changes in the external environment and technical condition of the aircraft; and recommendations for the crew to escape or prevent abnormal situations.
- Subjects :
- Cultural Studies
050210 logistics & transportation
0209 industrial biotechnology
Geospatial analysis
Situation awareness
Computer science
Aviation
business.industry
05 social sciences
Crew
ComputerApplications_COMPUTERSINOTHERSYSTEMS
02 engineering and technology
computer.software_genre
Integrated modular avionics
020901 industrial engineering & automation
0502 economics and business
Political Science and International Relations
Systems engineering
Key (cryptography)
Intellectualization
business
computer
Wireless sensor network
Subjects
Details
- ISSN :
- 15556492 and 10193316
- Volume :
- 88
- Database :
- OpenAIRE
- Journal :
- Herald of the Russian Academy of Sciences
- Accession number :
- edsair.doi...........b3a18f986dd4d3f787f8cdfdeed7f371
- Full Text :
- https://doi.org/10.1134/s1019331618010136