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公开(公告)号：US20180101744A1
公开(公告)日：2018-04-12
申请号：US15729581
申请日：2017-10-10
发明人： Guy Bar-Nahum , Hoang Anh Nguyen
CPC分类号： G06K9/00993 , G06K9/0063 , G06K9/00718 , G06K9/00973 , G06K9/2054 , G06K9/40 , G06K2209/21 , G06T7/248 , G06T7/292 , G06T2207/10016 , G06T2207/10032 , G06T2207/30232
摘要： A spatio-temporal awareness engine combines a low-resolution tracking process and high resolution tracking process to employ an array of imaging sensors to track an object within the visual field. The system utilizes a low-resolution conversion through noise filtering and feature consolidation to load-balance the more computationally-intensive aspects of object tracking, allowing for a more robust system, while utilizing less computer resources. A process for target recovery and object path prediction in a robotic drone may include tracking targets using a combination of visual and acoustic multimodal sensors, operating a camera as a main tracking sensor of the multimodal sensors and feeding output of the camera to a spatiotemoral engine, complementing the main tracking sensor with non-visual, fast secondary sensors to assign rough directionality to a target tracking signal, and applying the rough directionality to prioritize visual scanning by the main tracking sensor.
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公开(公告)号：US10514711B2
公开(公告)日：2019-12-24
申请号：US16142452
申请日：2018-09-26
摘要： A flight control operation of a reference aerial vehicle is performed. For example, an image captured by an image sensor of the reference aerial vehicle is received. A target is detected in the image. A three-dimensional relative location of the target with respect to the reference aerial vehicle is determined based on the image. The flight control operation is performed based on the three-dimensional relative location of the target with respect to the reference aerial vehicle.
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公开(公告)号：US10325169B2
公开(公告)日：2019-06-18
申请号：US15729581
申请日：2017-10-10
摘要： A spatio-temporal awareness engine combines a low-resolution tracking process and high resolution tracking process to employ an array of imaging sensors to track an object within the visual field. The system utilizes a low-resolution conversion through noise filtering and feature consolidation to load-balance the more computationally-intensive aspects of object tracking, allowing for a more robust system, while utilizing less computer resources. A process for target recovery and object path prediction in a robotic drone may include tracking targets using a combination of visual and acoustic multimodal sensors, operating a camera as a main tracking sensor of the multimodal sensors and feeding output of the camera to a spatiotemoral engine, complementing the main tracking sensor with non-visual, fast secondary sensors to assign rough directionality to a target tracking signal, and applying the rough directionality to prioritize visual scanning by the main tracking sensor.
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公开(公告)号：US20190025858A1
公开(公告)日：2019-01-24
申请号：US16142452
申请日：2018-09-26
摘要： A flight control operation of a reference aerial vehicle is performed. For example, an image captured by an image sensor of the reference aerial vehicle is received. A target is detected in the image. A three-dimensional relative location of the target with respect to the reference aerial vehicle is determined based on the image. The flight control operation is performed based on the three-dimensional relative location of the target with respect to the reference aerial vehicle.
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