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虚拟现实与增强现实相结合的飞行操控训练系统的设计

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针对传统飞行训练系统交互性差、场景单一问题设计了基于VR-AR融合的飞行操控训练系统,采用SLAM空间定位技术实现虚实场景精准融合,运用多传感器数据采集系统获取飞行员生理参数,构建了基于改进LSTM网络的认知负荷评估模型.测试结果表明,系统空间定位精度达到0.1 mm,显示延迟低至3.8 ms,系统空间分辨率达到理论极限的92%,在常规模拟飞行训练场景中,飞行员操作准确率提升了 15.4%,决策时间缩短了 33.3%,该系统突破了传统训练模式的局限,为飞行员培训提供了高效可靠的技术方案.
Design of a Flight Control Training System Under the Integration of Virtual Reality and Augmented Reality
Addressing the issues of poor interactivity and limited scenarios in traditional flight training systems,a flight control training system based on the fusion of VR and AR has been designed.The study employs SLAM spatial positioning technology to achieve precise integration of virtual and real scenarios,utilizes a multi-sensor data acquisition system to obtain pilots'physiological parameters,and constructs a cognitive load assessment model based on an improved LSTM network.Test results indicate that the system's spatial positioning accuracy reaches 0.1 mm,display latency as low as 3.8 ms,the system's spatial resolution has reached 92%of its theoretical limit.In routine simulated flight training,pilots'operation accuracy improves by 15.4%,and decision-making time is reduced by 33.3%.This system breaks through the limitations of traditional training modes,providing an efficient and reliable technical solution for pilot training.

Virtual realityAugmented realitySLAM positioningCognitive loadFlight training

马晨悦、张彦华

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河北水利电力学院,河北沧州 061000

天津华翼蓝天科技股份有限公司,天津 300380

虚拟现实 增强现实 SLAM定位 认知负荷 飞行训练

2025

黑龙江科学
黑龙江省科学院

黑龙江科学

影响因子:1.014
ISSN:1674-8646
年,卷(期):2025.16(2)