STORAGE MEDIUM, SPECIFYING METHOD, AND INFORMATION PROCESSING DEVICE

    公开(公告)号:US20240212320A1

    公开(公告)日:2024-06-27

    申请号:US18489917

    申请日:2023-10-19

    CPC classification number: G06V10/764

    Abstract: A non-transitory computer-readable storage medium storing a specifying program that causes at least one computer to execute a process, the process includes acquiring a video that includes an object; narrowing down, by inputting the acquired video to a machine learning model that refers to reference source data in which attributes of objects are associated with each of a plurality of hierarchies, attributes of the object included in the video among attributes of objects of a first hierarchy; identifying attributes of objects of a second hierarchy under the first hierarchy by using the attributes of the object obtained by the narrowing down; and specifying, by inputting the acquired video to the machine learning model, an attribute of the object included in the video among the attributes of the objects of the second hierarchy.

    DETECTION SYSTEM AND DETECTION METHOD
    14.
    发明申请
    DETECTION SYSTEM AND DETECTION METHOD 审中-公开
    检测系统和检测方法

    公开(公告)号:US20160188986A1

    公开(公告)日:2016-06-30

    申请号:US14937120

    申请日:2015-11-10

    Abstract: A detection system that detects a three-dimensional object on a reference surface, the detection system includes: a ranging device configured to measure a distance and a direction to an object including the three-dimensional object; and a processor configured to obtain ranging data from the ranging device, the ranging data being an aggregation of three-dimensional points indicating a position of the object, which are defined from the distance and the direction, calculate, based on the ranging data, a change amount in a height direction between a first point from among the aggregation of three-dimensional points and each of surrounding points of the first point, determine whether the first point is included in one or more points corresponding to the three-dimensional object, based on a difference between the change amounts, and output a result of a determination.

    Abstract translation: 一种检测基准表面上的三维物体的检测系统,所述检测系统包括:测距装置,被配置为测量与包括所述三维物体的物体的距离和方向; 以及处理器,被配置为从所述测距装置获取测距数据,所述测距数据是指示从所述距离和所述方向定义的所述对象的位置的三维点的聚合,基于所述测距数据,计算所述测距数据 从三维点的聚集和第一点的每个周围点的第一点之间的高度方向上的变化量确定第一点是否包括在与三维对象相对应的一个或多个点中 在变化量之间的差异,并输出确定的结果。

    DRIVING SUPPORT DEVICE AND DRIVING SUPPORT METHOD
    15.
    发明申请
    DRIVING SUPPORT DEVICE AND DRIVING SUPPORT METHOD 审中-公开
    驱动支持设备和驱动支持方法

    公开(公告)号:US20160152182A1

    公开(公告)日:2016-06-02

    申请号:US14881638

    申请日:2015-10-13

    Abstract: A driving support device for supporting driving of a vehicle by a driver, includes: a memory; and a processor coupled to the memory and configured to: determine a danger level indicating a level of danger regarding a target object, based on at least one of a relative velocity of the target object with respect to the vehicle and a relative distance between the vehicle and the target object, determine, based on information of a trajectory of a line of sight of the driver, an evaluation value indicating a first probability at which the driver becomes aware of the target object, and determine, based on the danger level and the evaluation value, a form of notifying the driver of the target object.

    Abstract translation: 一种用于支持驾驶员驾驶车辆的驾驶辅助装置,包括:存储器; 以及处理器,其耦合到所述存储器并且被配置为:基于所述目标对象相对于所述车辆的相对速度和所述车辆之间的相对距离中的至少一个,来确定指示关于目标对象的危险程度的危险水平 所述目标对象基于所述驾驶员的视线的轨迹的信息来确定表示驾驶员意识到所述目标对象的第一概率的评价值,并且基于所述危险等级和 评估值,通知驾驶员目标对象的形式。

    VISUAL CONFIRMATION EVALUATING APPARATUS AND METHOD
    16.
    发明申请
    VISUAL CONFIRMATION EVALUATING APPARATUS AND METHOD 有权
    视觉确认评估装置和方法

    公开(公告)号:US20140297059A1

    公开(公告)日:2014-10-02

    申请号:US14184093

    申请日:2014-02-19

    Abstract: A visual confirmation evaluating apparatus generates unobstructed state information indicating that a driver in a vehicle at an intersection is in a position capable of visually confirming roads on the right and left. This unobstructed state information is used to evaluate a safety check made by the driver, in order to improve the accuracy of the evaluation. In addition, the visual confirmation evaluating apparatus generates viewing direction information indicating a direction in which the driver of the vehicle should look at the intersection, and an appropriateness of a line of sight of the driver is evaluated using the viewing direction information.

    Abstract translation: 视觉确认评价装置生成无障碍状态信息,其指示交叉口处的车辆中的驾驶员处于能够右侧和左侧的道路的视觉上确认的位置。 这种无障碍状态信息用于评估驾驶员进行的安全检查,以提高评估的准确性。 此外,视觉确认评价装置生成表示车辆的驾驶员应该观察交叉路口的方向的观察方向信息,并且使用观察方向信息来评价驾驶员的视线的适当性。

    GAZE POINT DETECTION DEVICE AND GAZE POINT DETECTION METHOD
    17.
    发明申请
    GAZE POINT DETECTION DEVICE AND GAZE POINT DETECTION METHOD 有权
    高度点检测装置和高度点检测方法

    公开(公告)号:US20140078282A1

    公开(公告)日:2014-03-20

    申请号:US13942986

    申请日:2013-07-16

    CPC classification number: G06K9/00221 G06K9/00228 G06K9/00845

    Abstract: A gaze point detection device includes a processor; and a memory which stores a plurality of instructions, which when executed by the processor, cause the processor to execute, capturing an image of at least part of a scene around a vehicle; detecting a direction of a line of sight of a person in the vehicle; determining an intersection between a plane and a line of sight of the person in the vehicle, the plane being along a running direction of the vehicle and apart from the vehicle by a given distance; and presenting a resultant projected point on the image as a gaze point.

    Abstract translation: 注视点检测装置包括处理器; 以及存储器,其存储多个指令,所述指令在由所述处理器执行时使所述处理器执行,捕获车辆周围的至少一部分场景的图像; 检测车辆中的人的视线的方向; 确定车辆中的人的平面和视线之间的交叉点,该平面沿着车辆的行驶方向并与车辆分开一定距离; 并将图像上的合成投影点呈现为凝视点。

    STORAGE MEDIUM AND INFORMATION PROCESSING DEVICE

    公开(公告)号:US20240193573A1

    公开(公告)日:2024-06-13

    申请号:US18494825

    申请日:2023-10-26

    Abstract: A non-transitory computer-readable storage medium storing an information processing program that causes at least one computer to execute a process, the process includes acquiring video data of a product placed on a scale included in a registration machine; specifying an attribute regarding an appearance of the product, by inputting the acquired video data into a first machine learning model; acquiring information regarding a weight of the product, from the accounting machine that has measured a weight of the product placed on the scale; and performing machine learning of a second machine learning model, by using the specified attribute of the product as training data and the acquired information regarding the weight of the product as correct answer data.

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