Main provisions for formation of cognitive model of visually observable environment synthesized for aircraft simulator
- DOI
- 10.2991/aime-17.2017.109How to use a DOI?
- Keywords
- aircraft simulators; a cognitive model of a visually observable environment.; a visual situation; a radar simulator; a imitator of the thermal imager
- Abstract
Today, aviation simulators are complexes for training pilots flying an aircraft in normal situations and in pre-emergency situations. The pilot, piloting an aircraft simulator, manages an airplane model. The airplane model moves in a three-dimensional space model. The pilot monitors the movement of the airplane model, using information from two groups of imitators. Imitators of the first group are models of cabin equipment. The pilot receives information from them about the speed and altitude of the flight. Imitators of the second group synthesize for the pilot the image of the model of the terrain, visible through the cabin glass and on the radar and thermal imager screens. As a result, the imitators of the second group form a cognitive model of the visually observable environment, which allows the pilot to acquire professional skills in controlling the airplane during takeoff and landing on the runway and solve navigation problems while flying along the route. The article is devoted to some aspects of the formation of the cognitive model of the visually observable environment synthesized by imitators of an aircraft simulator
- Copyright
- © 2017, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Vladimir Roganov AU - Ellvira Roganova AU - Michail Miheev AU - Bolat I. Nurgozhin AU - Valeriy Fillipenko PY - 2017/07 DA - 2017/07 TI - Main provisions for formation of cognitive model of visually observable environment synthesized for aircraft simulator BT - Proceedings of the International Conference "Actual Issues of Mechanical Engineering" 2017 (AIME 2017) PB - Atlantis Press SP - 671 EP - 676 SN - 2352-5401 UR - https://doi.org/10.2991/aime-17.2017.109 DO - 10.2991/aime-17.2017.109 ID - Roganov2017/07 ER -