- 专利标题: Threat assessment of unmanned aerial systems using machine learning
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申请号: US16946157申请日: 2020-06-08
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公开(公告)号: US11521128B2公开(公告)日: 2022-12-06
- 发明人: Richard A. Moro, Jr. , Erik D. Johnson , Liyi Dai , David W. Payne
- 申请人: Raytheon Company
- 申请人地址: US MA Waltham
- 专利权人: Raytheon Company
- 当前专利权人: Raytheon Company
- 当前专利权人地址: US MA Waltham
- 主分类号: G06N20/00
- IPC分类号: G06N20/00 ; B64D45/00 ; B64C39/02 ; G05D1/00
摘要:
A method includes obtaining multiple data items from multiple heterogeneous data sources, where the multiple data items relate to an unmanned aerial system (UAS) flying in an area. The method also includes processing the multiple data items using a machine learning algorithm to determine a threat level of the UAS to one or more targets in the area. The method further includes outputting the threat level of the UAS for review by a user.
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