Automated vision-based aircraft collision warning technologies

基于视觉的自动飞机碰撞预警技术

• 批准号: LP100100302
• 负责人: Dr Jason Ford
• 金额: $ 38.06万
• 依托单位: Queensland University of Technology
• 依托单位国家: 澳大利亚
• 项目类别: Linkage Projects
• 财政年份: 2010
• 资助国家: 澳大利亚
• 起止时间: 2010-10-22 至 2013-12-31
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/LP100100302
• 关键词: Automated; vision; based; aircraft; collision

Australia is a sparsely populated country with a number of unique airspace features. This project will investigate novel vision-based collision warning systems that can improve safety for piloted aircraft and also help achieve integration of UASs (Uninhabited Aerial Systems) into national airspace. The benefits of UAS technologies are particularly relevant to Australia, as governments and industry struggle to cope with providing equivalent levels of service to remote communities over vast distances (or border protection of vast regions). The population base of Australia requires that cost-effective solutions are sought to meet this end.

澳大利亚是一个地广人稀的国家，有许多独特的空域特征。该项目将研究新型的基于视觉的碰撞预警系统，该系统可以提高有人驾驶飞机的安全性，并有助于实现无人机系统（UAS）与国家领空的集成。无人机系统技术的好处与澳大利亚特别相关，因为政府和行业都在努力为遥远的偏远社区提供同等水平的服务（或为广大地区提供边境保护）。 澳大利亚的人口基数要求寻求符合成本效益的解决办法来实现这一目标。