Towards safer general aviation operations using a vision-based decision support system for weather threat avoidance

IF 3.9 2区 工程技术 Q2 TRANSPORTATION
Rahul Rathnakumar, Yongming Liu
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引用次数: 0

Abstract

The commercial aviation sector has achieved significant advancements in safety owing to robust Air Traffic Management technologies and rigorous regulatory measures. In contrast, General Aviation (GA) operations present unique safety challenges that demand focused attention. This study proposes an innovative decision support system tailored for GA pilots to augment their situational awareness. Our approach leverages on-board camera data in conjunction with semantic weather descriptors to construct an uncertainty-aware neural network model. The model provides predictions with quantified uncertainties while handling multiple labels and categories across diverse weather conditions. To validate the effectiveness of our framework, extensive experiments were conducted utilizing a flight simulator as a data collection platform. The results demonstrate that our model showcased significant improvements over the multiple baselines. We also found that a cost-sensitive learning approach can provide more conservative predictions while yielding performance improvements. Ultimately, our decision support framework aims to complement existing weather data sources, such as Next Generation Weather Radar (NEXRAD) data and Meteorological Aerodrome Reports (METAR) from airports, without imposing the burden of mounting expensive and bulky on-board weather radar systems.
使用以视觉为基础的决策支援系统,以避免天气威胁,以达致更安全的通用航空运作
由于强大的空中交通管理技术和严格的管制措施,商业航空部门在安全方面取得了重大进展。相比之下,通用航空(GA)运营提出了独特的安全挑战,需要重点关注。本研究提出了一种创新的决策支持系统,为通用航空飞行员量身定制,以增强他们的态势感知。我们的方法利用机载相机数据与语义天气描述符相结合来构建一个不确定性感知神经网络模型。该模型在处理不同天气条件下的多个标签和类别时,提供了量化不确定性的预测。为了验证我们的框架的有效性,利用飞行模拟器作为数据收集平台进行了广泛的实验。结果表明,我们的模型在多个基线上显示出显著的改进。我们还发现,成本敏感的学习方法可以在提高性能的同时提供更保守的预测。最终,我们的决策支持框架旨在补充现有的天气数据源,例如来自机场的下一代天气雷达(NEXRAD)数据和气象机场报告(METAR),而不会增加安装昂贵和笨重的机载气象雷达系统的负担。
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来源期刊
CiteScore
12.40
自引率
11.70%
发文量
97
期刊介绍: The Journal of Air Transport Management (JATM) sets out to address, through high quality research articles and authoritative commentary, the major economic, management and policy issues facing the air transport industry today. It offers practitioners and academics an international and dynamic forum for analysis and discussion of these issues, linking research and practice and stimulating interaction between the two. The refereed papers in the journal cover all the major sectors of the industry (airlines, airports, air traffic management) as well as related areas such as tourism management and logistics. Papers are blind reviewed, normally by two referees, chosen for their specialist knowledge. The journal provides independent, original and rigorous analysis in the areas of: • Policy, regulation and law • Strategy • Operations • Marketing • Economics and finance • Sustainability
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