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    Method and system for fusion of fast surprise and motion-based saliency for finding objects of interest in dynamic scenes
    2.
    发明授权
    Method and system for fusion of fast surprise and motion-based saliency for finding objects of interest in dynamic scenes 有权
    融合快速惊喜和基于运动的显着性的方法和系统，用于在动态场景中寻找感兴趣的对象

    公开(公告)号：US09177228B1

    公开(公告)日：2015-11-03

    申请号：US13743742

    申请日：2013-01-17

    Applicant: HRL Laboratories, LLC

    Inventor： Deepak Khosla ,  David J. Huber ,  Kyungnam Kim

    IPC: G06K9/00 ,  G06K9/62

    CPC classification number: G06K9/629 ,  G06K9/00771 ,  G06K9/4623

    Abstract: Described is a system for object detection from dynamic visual imagery. Dynamic visual input obtained from a stationary sensor is processed by a surprise-based module. The surprise-based module detects a stationary object in a scene to generate surprise scores. The dynamic visual input is also processed by a motion-based saliency module which detects foreground in the scene to generate motion scores. The surprise scores and motion scores are fused into a single score, and the single score is used to determine the presence of an object of interest.

    Abstract translation: 描述了一种从动态视觉图像中进行物体检测的系统。 由静态传感器获得的动态视觉输入由基于惊喜的模块处理。 基于惊喜的模块检测场景中的静止对象以产生惊喜得分。 动态视觉输入也由基于运动的显着模块处理，其检测场景中的前景以产生运动分数。 惊喜得分和运动得分被融合成一个单一的分数，单个分数用于确定感兴趣对象的存在。

    Human machine teaching system for sequential task training
    3.
    发明授权
    Human machine teaching system for sequential task training 有权

    公开(公告)号：US12265762B1

    公开(公告)日：2025-04-01

    申请号：US17411053

    申请日：2021-08-24

    Applicant: HRL Laboratories, LLC

    Inventor： Myana Anderson ,  Tiffany Hwu ,  Steven W. Skorheim ,  David J. Huber

    IPC: G06F30/27 ,  G05B13/02 ,  G05B13/04 ,  G06F30/12 ,  G06N5/02 ,  G06F119/02

    Abstract: Described is a system for improving machine operation performance. The system assigns and displays, on an interface having multiple interactive controls, a performance score for each skill of a sequential task in a simulation of operation of a machine. Based on the performance scores, one or more skills to improve with targeted training are identified and displayed on the interface. A training scenario of skills to perform via the interactive controls in a subsequent simulation is recommended to improve the performance scores. Following performance of the training scenario in the subsequent simulation, the system assigns and displays, on the interface, a new performance score for each skill performed. The training scenario is adapted based on the new performance scores.

    SYSTEMS AND METHODS FOR FORECAST ALERTS WITH PROGRAMMABLE HUMAN-MACHINE HYBRID ENSEMBLE LEARNING
    4.
    发明申请
    SYSTEMS AND METHODS FOR FORECAST ALERTS WITH PROGRAMMABLE HUMAN-MACHINE HYBRID ENSEMBLE LEARNING 审中-公开

    公开(公告)号：US20200311615A1

    公开(公告)日：2020-10-01

    申请号：US16714068

    申请日：2019-12-13

    Applicant: HRL LABORATORIES, LLC

    Inventor： Aruna Jammalamadaka ,  David J. Huber ,  Samuel D. Johnson ,  Tsai-Ching Lu

    IPC: G06N20/20 ,  G06N7/00 ,  G06F40/205 ,  G06K9/62

    Abstract: A method for computing a human-machine hybrid ensemble prediction includes: receiving an individual forecasting question (IFP); classifying the IFP into one of a plurality of canonical question topics; identifying machine models associated with the canonical question topic; for each of the machine models: receiving, from one of a plurality of human participants: a first task input including a selection of sets of training data; a second task input including selections of portions of the selected sets of training data; and a third task input including model parameters to configure the machine model; training the machine model in accordance with the first, second, and third task inputs; and computing a machine model forecast based on the trained machine model; computing an aggregated forecast from machine model forecasts computed by the machine models; and sending an alert in response to determining that the aggregated forecast satisfies a threshold condition.

    SYSTEM AND METHOD FOR HUMAN-MACHINE HYBRID PREDICTION OF EVENTS
    5.
    发明申请
    SYSTEM AND METHOD FOR HUMAN-MACHINE HYBRID PREDICTION OF EVENTS 审中-公开

    公开(公告)号：US20200257943A1

    公开(公告)日：2020-08-13

    申请号：US16708166

    申请日：2019-12-09

    Applicant: HRL LABORATORIES, LLC

    Inventor： David J. Huber ,  Tsai-Ching Lu ,  Nigel D. Stepp ,  Aruna Jammalamadaka ,  Hyun J. Kim ,  Samuel D. Johnson

    IPC: G06K9/62 ,  G06N3/08 ,  G06N20/00 ,  G06F40/205 ,  G06F40/284 ,  G06F16/907

    Abstract: A method for generating human-machine hybrid predictions of answers to forecasting problems includes: parsing text of an individual forecasting problem to identify keywords; generating machine models based on the keywords; scraping data sources based on the keywords to collect scraped data relevant to the individual forecasting problem; providing the scraped data to the machine models; receiving machine predictions of answers to the individual forecasting problem from the machine models based on the scraped data; providing, by the computer system via a user interface, the scraped data to human participants; receiving, by the computer system via the user interface, human predictions of answers to the individual forecasting problem from the human participants; aggregating the machine predictions with the human predictions to generate aggregated predictions; and generating and outputting a hybrid prediction based on the aggregated predictions.

    Bidirectional machine teaching interface for human-machine co-pilots
    7.
    发明授权
    Bidirectional machine teaching interface for human-machine co-pilots 有权

    公开(公告)号：US11926334B1

    公开(公告)日：2024-03-12

    申请号：US17242164

    申请日：2021-04-27

    Applicant: HRL Laboratories, LLC

    Inventor： Tiffany Hwu ,  David J. Huber ,  Steven W. Skorheim ,  Jaehoon Choe

    IPC: B60W50/06 ,  B60W50/10 ,  B60W50/14

    CPC classification number: B60W50/06 ,  B60W50/10 ,  B60W50/14

    Abstract: Described is a system for human-machine teaching for vehicle operation. The system determines currently enabled status reporting modes on a vehicle interface of a vehicle. The currently enabled status reporting modes are compared to a set of preferred status reporting modes of previous users. Based on the comparison, a status reporting mode is selected. A current operational status of the vehicle is reported to a current user, via the vehicle interface, using the selected status reporting mode. The system then determines preferred solutions of previous users to address the current operational status of the vehicle. Suggestions to address the current operational status of the vehicle based on the preferred solutions are reported to the user via the vehicle interface. A vehicle action corresponding to a solution selected by the current user is implemented via a vehicle component.

    System of structured argumentation for asynchronous collaboration and machine-based arbitration
    8.
    发明授权
    System of structured argumentation for asynchronous collaboration and machine-based arbitration 有权

    公开(公告)号：US11238470B2

    公开(公告)日：2022-02-01

    申请号：US16724130

    申请日：2019-12-20

    Applicant: HRL Laboratories, LLC

    Inventor： Nigel D. Stepp ,  David J. Huber ,  Tsai-Ching Lu

    IPC: G06Q30/02 ,  G06Q10/04 ,  G06F17/16

    Abstract: A method for collecting and processing user input. In some embodiments the method includes presenting a first user with a prompt for eliciting a first response, the first response including a numerical portion including one or more numbers, and an explanatory portion; receiving, from the first user, the first response; receiving from each of a plurality of other users, a respective response of a plurality of other responses; and displaying, to the first user, an ordered list of other responses. Within the ordered list, a second response, of the plurality of other responses, may be earlier than a third response, of the plurality of other responses, the second response being, according to a measure of distance, more distant, than the third response, from the first response.

    SYSTEM OF STRUCTURED ARGUMENTATION FOR ASYNCHRONOUS COLLABORATION AND MACHINE-BASED ARBITRATION
    9.
    发明申请
    SYSTEM OF STRUCTURED ARGUMENTATION FOR ASYNCHRONOUS COLLABORATION AND MACHINE-BASED ARBITRATION 审中-公开

    公开(公告)号：US20200286108A1

    公开(公告)日：2020-09-10

    申请号：US16724130

    申请日：2019-12-20

    Applicant: HRL Laboratories, LLC

    Inventor： Nigel D. Stepp ,  David J. Huber ,  Tsai-Ching Lu

    IPC: G06Q30/02 ,  G06Q10/04 ,  G06F17/16

    Abstract: A method for collecting and processing user input. In some embodiments the method includes presenting a first user with a prompt for eliciting a first response, the first response including a numerical portion including one or more numbers, and an explanatory portion; receiving, from the first user, the first response; receiving from each of a plurality of other users, a respective response of a plurality of other responses; and displaying, to the first user, an ordered list of other responses. Within the ordered list, a second response, of the plurality of other responses, may be earlier than a third response, of the plurality of other responses, the second response being, according to a measure of distance, more distant, than the third response, from the first response.

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