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公开(公告)号:US11756434B2
公开(公告)日:2023-09-12
申请号:US17107288
申请日:2020-11-30
Inventor: Michael R. Sweeney , Christopher T. Marinis , Jeffrey A. Wallace , Benjamin P. Wood
CPC classification number: G08G5/0039 , G05D1/101 , G06V20/17 , G08G5/0034 , G08G5/0052 , G08G5/0086
Abstract: A platform with an auto-router takes into account non-navigation data, such as IR image sensor data or other non-navigation data to develop a route for a platform. The non-navigation data may be obtained from existing non-navigation sensors carried by the platform. The non-navigation data is fed to an auto-router that takes into account the non-navigation data to generate or dynamically alter a route for the platform.
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公开(公告)号:US20220172628A1
公开(公告)日:2022-06-02
申请号:US17107288
申请日:2020-11-30
Inventor: Michael R. Sweeney , Christopher T. Marinis , Jeffrey A. Wallace , Benjamin P. Wood
Abstract: A platform with an auto-router takes into account non-navigation data, such as IR image sensor data or other non-navigation data to develop a route for a platform. The non-navigation data may be obtained from existing non-navigation sensors carried by the platform. The non-navigation data is fed to an auto-router that takes into account the non-navigation data to generate or dynamically alter a route for the platform.
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公开(公告)号:US20200382903A1
公开(公告)日:2020-12-03
申请号:US16427966
申请日:2019-05-31
Inventor: Michael N. Mercier , Michael R. Sweeney , Jeffrey A. Wallace
Abstract: A threat warning system and method for navigation and geolocation in Global Positioning System (GPS)-denied environments using the threat warning system is disclosed. A threat warning system carried on a platform is provided. The threat warning system includes at least one detector, at least one threat warning image sensor, at least one processor, Global Positioning System (GPS) detection logic, last known position data logic, registration logic, navigation solution logic, position correction logic, and guiding logic.
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公开(公告)号:US12272117B1
公开(公告)日:2025-04-08
申请号:US17725149
申请日:2022-04-20
Inventor: Benjamin P. Wood , Jeffrey A. Wallace , Jacob Branchaud , Marc J. Fredette
IPC: G06V10/764 , G06V10/70
Abstract: A passive sensor is used in conjunction with a trained machine learning classifier to make a You Are The One/You Are Not The One (YATO/YANTO) classification or determination as to whether an object, such as a threat, is moving toward a platform. The trained machine learning classifier utilizes a feature vector generated from conditioned temporal data and angular data obtained from passive sensor carried by the platform.
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