Improving Aviation Safety using Synthetic Vision System integrated with Eye-tracking Devices
Mingliang Xu, Yibo Guo, Bailin Yang, Wei Chen, Pei Lv, Liwei Fan, Bin, Zhou

TL;DR
This paper presents a novel synthetic vision system integrated with eye-tracking technology to enhance aviation safety by monitoring pilot attention and detecting risky operations, thereby reducing human error and fatigue-related accidents.
Contribution
The paper introduces a new SVS system that learns from pilot eye movements to optimize terrain rendering and incorporates a warning mechanism for risky behaviors.
Findings
System effectively detects risky pilot operations.
Improves terrain display by focusing on regions of interest.
Reduces fatigue-related risks in flight simulations.
Abstract
By collecting the data of eyeball movement of pilots, it is possible to monitor pilot's operation in the future flight in order to detect potential accidents. In this paper, we designed a novel SVS system that is integrated with an eye tracking device, and is able to achieve the following functions:1) A novel method that is able to learn from the eyeball movements of pilots and preload or render the terrain data in various resolutions, in order to improve the quality of terrain display by comprehending the interested regions of the pilot. 2) A warning mechanism that may detect the risky operation via analyzing the aviation information from the SVS and the eyeball movement from the eye tracking device, in order to prevent the maloperations or human factor accidents. The user study and experiments show that the proposed SVS-Eyetracking system works efficiently and is capable of avoiding…
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Taxonomy
TopicsHuman-Automation Interaction and Safety · Advanced Decision-Making Techniques
