RAPID: Low Cost Personal Remote Sensing for Cognitive Disaster Assessment with Enhanced Human-Machine Interface

RAPID：通过增强的人机界面进行认知灾害评估的低成本个人遥感

• 批准号: 1138632
• 负责人: YangQuan Chen
• 金额: $ 5万
• 依托单位: Utah State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2011
• 资助国家: 美国
• 起止时间: 2011-07-15 至 2012-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1138632&HistoricalAwards=false
• 关键词: RAPID; Low; Cost; Personal; Remote

The project studies the use of advanced Human-Machine Interface kits such as helmet displays and Virtual Reality goggles with low-cost autonomous Umanned Aerial Vehicles (UAV) and assesses their impact on the ground operator's cognitive load, and explores the addition of the capability to enable the UAV with a certain amount of cognitive ability so that it can suggest places in the scene to make observations.This project impacts search and rescue, disaster mitigation, mapping and assessment, and broadens the perspectives of faculty and students through an international collaborative effort.

该项目研究如何使用先进的人机接口套件，如头盔显示器和虚拟现实护目镜与低成本自主无人机（UAV），并评估其对地面操作员认知负荷的影响，并探索增加能力，使无人机具有一定的认知能力，使其能够在场景中建议进行观察的位置。该项目影响搜索和救援，减灾，测绘和评估，并通过国际合作努力拓宽教师和学生的视野。