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公开(公告)号：WO2016209504A1
公开(公告)日：2016-12-29
申请号：PCT/US2016/034119
申请日：2016-05-25
Applicant: INTEL CORPORATION
Inventor： RAFFA, Giuseppe , ANDERSON, Glen J. , DURHAM, Lenitra M. , BECKWITH, Richard , YUEN, Kathy , EKANDEM, Joshua , SHERMAN, Jamie , MOSHKOVITZ, Ariel , BEN-SHALOM, Omer , HEALEY, Jennifer , BROWN, Steve , GAIDAR, Tamara , GOVEZENSKY, Yosi
CPC classification number: H04N7/185 , B64C2201/123 , B64C2201/143 , G05D1/0038 , G05D1/104 , H04N5/232
Abstract: Various systems and methods for personal sensory drones are described herein. A personal sensory drone system includes a drone remote control system comprising: a task module to transmit a task to a drone swarm for the drone swarm to execute, the drone swarm including at least two drones; a transceiver to receive information from the drone swarm related to the task; and a user interface module to present a user interface based on the information received from the drone swarm.
Abstract translation: 本文描述了个人感觉无人机的各种系统和方法。 个人感觉无人机系统包括无人机遥控系统，包括：任务模块，用于向无人机组的无人机组发送任务以执行包括至少两个无人机的无人机组; 收发器，用于从与无人机相关的无人机组中接收信息; 以及用户界面模块，用于基于从无人机组接收的信息呈现用户界面。
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公开(公告)号：EP4361963A1
公开(公告)日：2024-05-01
申请号：EP23200629.6
申请日：2023-09-28
Applicant: INTEL Corporation
Inventor： BISWAS, Sovan , RHODES, Anthony Daniel , MANUVINAKURIKE, Ramesh Radhakrishna , RAFFA, Giuseppe , BECKWITH, Richard
IPC: G06V10/82 , G06V10/70 , G06V20/40 , G06V10/764 , G06V40/20
Abstract: Disclosed is a technical solution to process a video that captures actions to be performed for completing a task based on a chronological sequence of stages within the task. An example system may identify an action sequence from an instruction for the task. The system inputs the action sequence into a trained model (e.g., a recurrent neural network), which outputs the chronological sequence of stages. The RNN may be trained through self-supervised learning. The system may input the video and the chronological sequence of stages into another trained model, e.g., a temporal convolutional network. The other trained model may include hidden layers arranged before an attention layer. The hidden layers may extract features from the video and feed the features into the attention layer. The attention layer may determine attention weights of the features based on the chronological sequence of stages.
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公开(公告)号：EP3786753A1
公开(公告)日：2021-03-03
申请号：EP20202263.8
申请日：2016-05-25
Applicant: INTEL Corporation
Inventor： RAFFA, Giuseppe , ANDERSON, Glen J. , DURHAM, Lenitra M. , BECKWITH, Richard , YUEN, Kathy , EKANDEM, Joshua , SHERMAN, Jamie , MOSHKOVITZ, Ariel , BEN-SHALOM, Omer , HEALEY, Jennifer , BROWN, Steve , GAIDAR, Tamara , GOVEZENSKY, Yosi
Abstract: Various systems and methods for personal sensory drones are described herein. A personal sensory drone system includes a drone remote control system comprising: a task module to transmit a task to a drone swarm for the drone swarm to execute, the drone swarm including at least two drones; a transceiver to receive information from the drone swarm related to the task; and a user interface module to present a user interface based on the information received from the drone swarm.
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公开(公告)号：EP3314343A1
公开(公告)日：2018-05-02
申请号：EP16814960.7
申请日：2016-05-25
Applicant: Intel Corporation
Inventor： RAFFA, Giuseppe , ANDERSON, Glen J. , DURHAM, Lenitra M. , BECKWITH, Richard , YUEN, Kathy , EKANDEM, Joshua , SHERMAN, Jamie , MOSHKOVITZ, Ariel , BEN-SHALOM, Omer , HEALEY, Jennifer , BROWN, Steve , GAIDAR, Tamara , GOVEZENSKY, Yosi
CPC classification number: H04N7/185 , B64C2201/123 , B64C2201/143 , G05D1/0027 , G05D1/0038 , G05D1/005 , G08G5/0013 , G08G5/0043 , G08G5/0069 , H04N5/232
Abstract: Various systems and methods for personal sensory drones are described herein. A personal sensory drone system includes a drone remote control system comprising: a task module to transmit a task to a drone swarm for the drone swarm to execute, the drone swarm including at least two drones; a transceiver to receive information from the drone swarm related to the task; and a user interface module to present a user interface based on the information received from the drone swarm.
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