| 注册
首页|期刊导航|航空科学技术|面向飞行座舱的跨屏视线估计方法

面向飞行座舱的跨屏视线估计方法

张湉琪 陈靖 秦善彬 符山沣

航空科学技术2025,Vol.36Issue(10):14-23,10.
航空科学技术2025,Vol.36Issue(10):14-23,10.DOI:10.19452/j.issn1007-5453.2025.10.002

面向飞行座舱的跨屏视线估计方法

Cross-Screen Gaze Estimation Method for Flight Cockpits

张湉琪 1陈靖 1秦善彬 1符山沣1

作者信息

  • 1. 北京理工大学,北京 100081
  • 折叠

摘要

Abstract

In multi-screen interaction scenarios in flight cockpits,pilots often need to switch their gaze quickly to achieve situation awareness and precise operations.High-precision cross-screen gaze tracking has become a key technical challenge for improving human-computer interaction efficiency.However,existing single-view-based gaze estimation methods are susceptible to image occlusion when the head moves significantly,leading to a significant drop in accuracy,which makes them difficult to meet the high-precision operation requirements in complex interaction scenarios.In this paper,we propose a cross-screen gaze estimation method for flight cockpits,which combines dual-view image acquisition and deep learning technology to achieve high-precision gaze estimation in cross-screen environments.Using dual-view facial image data acquired by a dual-screen and dual-camera system,the method effectively overcomes the view blind spot issue in traditional single-view gaze estimation.To address the frequent gaze switching requirements in flight cockpits,a cross-screen gaze estimation system is constructed,which can efficiently perform gaze screen selection and gaze point estimation.Experimental results show that compared with traditional single-view methods,the average accuracy of gaze estimation of our method has improved by 33.54%,and the system robustness and real-time performance have been optimized simultaneously,providing a verifiable solution for multi-screen interaction in flight cockpits.

关键词

视线估计/眼动控制/跨屏交互/多屏控制/特征融合/深度学习

Key words

gaze estimation/eye-tracking control/cross-screen interaction/multi-screen control/feature fusion/deep learning

分类

计算机与自动化

引用本文复制引用

张湉琪,陈靖,秦善彬,符山沣..面向飞行座舱的跨屏视线估计方法[J].航空科学技术,2025,36(10):14-23,10.

基金项目

航空科学基金(2022Z005072001) Aeronautical Science Foundation of China(2022Z005072001) (2022Z005072001)

航空科学技术

1007-5453

访问量4
|
下载量0
段落导航相关论文