Rotorcraft Landing Sites – An AI-Based Identification System
| 项目名称： | Rotorcraft Landing Sites – An AI-Based Identification System |
| 摘要： | The updated information about the location and type of landing sites is an essential asset for the Federal Aviation Administration (FAA) and the Department of Transportation (DOT). However, the acquisition, verification, and regular updating of information about landing sites is not an easy or straightforward task, and the lack of current and correct information on helicopter landing sites is a risk factor in several accidents and incidents involving rotorcraft. The primary goal of this proposal is to create an artificial intelligence (AI)-based system for the identification of helipads, heliports, and landing site infrastructure from various heterogeneous datasets, including video from rotorcraft, drones, satellite images, or aerial imagery, as well as textual data sources (i.e., data entered by helipad owners/operators or pilots) from other sources. The intended outcome of the project is to generate an AI algorithm that will automate the process of identification of landing sites from video data as well as satellite images. The researchers hope to achieve landing site identification accuracy equal to or higher than that of a trained human operator at a fraction of time and resources. Once developed, the AI system would allow FAA to update its databases of landing sites regularly without any delays so the information could be used by any mission, including “Helicopter Air Ambulance missions to rural communities.” |
| 状态： | Active |
| 资金： | 160000 |
| 资助组织： | Office of the Assistant Secretary for Research and Technology |
| 项目负责人： | Johnson, Charles (Cliff)；Stott, Glenn；Szary, Patrick J |
| 执行机构： | Rowan University |
| 开始时间： | 20200101 |
| 预计完成日期： | 20201231 |
| 主题领域： | Aviation；Data and Information Technology；Terminals and Facilities |
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