Combined Vision Systems Literature Review

Kratchounova, Daniela; Newton, David

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Combined Vision Systems Literature Review

2019-09-01
By Kratchounova, Daniela ; Newton, David

File Language:

English

Details

Creators:

Kratchounova, Daniela ; Newton, David
Corporate Creators:

United States. Department of Transportation. Federal Aviation Administration. Office of Aviation. Civil Aerospace Medical Institute
Corporate Contributors:

United States. Department of Transportation. Federal Aviation Administration. Office of Aviation. Office of Aerospace Medicine
Subject/TRT Terms:
Publication/ Report Number:

DOT/FAA/AM-19/20
Resource Type:

Tech Report
Geographical Coverage:

United States
Corporate Publisher:

United States. Department of Transportation. Federal Aviation Administration. Office of Aviation. Civil Aerospace Medical Institute
Abstract:

Improving safety during low-visibility operations is one of the most critical challenges in aviation. Toward this end, the aviation community has been working to develop flight deck display technologies that improve the pilot's ability to acquire visual information in situations where natural vision is compromised. The Combined Vision System (CVS) is one such technology. CVSs utilize data taken from imaging sensors onboard the aircraft (e.g., millimeter wave radar, forward-looking infrared), as well as terrain and obstacle databases, combine them, and present them in a superimposed fashion on a flight deck display. Some of the operational benefits of CVSs include improved tracking performance, reduced flight-path error, and reduced workload. Future research should address pilot performance with a CVS in specific operational constructs (e.g., head-down vs. head-up displays), the effects of CVS display minification on pilot performance, and head-down to head-up transitions while using a CVS.
Format:

PDF
Download URL:

https://rosap.ntl.bts.gov/view/dot/56993/dot_56993_DS1.pdf
File Type:

[PDF - 328.46 KB]
Collection(s):

FAA Civil Aerospace Medical Institute
Main Document Checksum:

urn:sha-512:def6a307485973bceda80b5dada0c7d455608f36fc276a2120508296a72b6bf06ab0c131324663219f8a73a60ad90fe393a59338f10cf767431639960588a755

File Language:

English

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