STRATEGY MODES FOR AUTONOMOUS VEHICLE OPERATIONS

    公开(公告)号:US20190049960A1

    公开(公告)日:2019-02-14

    申请号:US15673936

    申请日:2017-08-10

    Abstract: Systems and methods for operating autonomous vehicles are described. An autonomous vehicle may detect strategy modes and/or actions of other vehicles in a local environment. The autonomous vehicle may then select a strategy mode for its operations based on the detected strategy modes and/or actions of other vehicles, and based on an operational goal for the autonomous vehicle. The strategy modes may include an uncoupled strategy mode, a permissive strategy mode, an assistive strategy mode, and a preventative strategy mode. The autonomous vehicle may further select an action for its operations based on the selected strategy mode.

    Focus specification and focus stabilization

    公开(公告)号:US10205871B1

    公开(公告)日:2019-02-12

    申请号:US15645434

    申请日:2017-07-10

    Abstract: An imaging device may be configured to monitor a field of view for various objects or events occurring therein. The imaging device may capture a plurality of images at various focal lengths, identify a region of interest including one or more semantic objects therein, and determine measures of the levels of blur or sharpness within the regions of interest of the images. Based on their respective focal lengths and measures of their respective levels of blur or sharpness, a focal length for capturing subsequent images with sufficient clarity may be predicted. The imaging device may be adjusted to capture images at the predicted focal length, and such images may be captured. Feedback for further adjustments to the imaging device may be identified by determining measures of the levels of blur or sharpness within the subsequently captured images.

    Automatic large-scale imaging device diagnostics

    公开(公告)号:US10185892B1

    公开(公告)日:2019-01-22

    申请号:US14291086

    申请日:2014-05-30

    Abstract: Diagnostics may be performed on imaging devices such as digital cameras that are provided in large numbers, or mounted in arrays or networks, by providing imaging data captured from such devices to a machine learning system or classifier that has been trained to recognize anomalies based on imaging data. The machine learning system or classifier may be trained using a training set of imaging data previously captured by one or more imaging devices that has been labeled with regard to whether such imaging devices encountered any anomalies when the imaging data was captured, and if so, which anomalies were encountered. Additionally, a perceptual score which represents the quality of a given image or imaging data may be calculated and used to rank or define the image or imaging data in terms of quality, or determine whether the image or imaging data is suitable for its intended purpose.

    Steganographic depth images
    134.
    发明授权

    公开(公告)号:US10158840B2

    公开(公告)日:2018-12-18

    申请号:US14744480

    申请日:2015-06-19

    Abstract: Depth information may be encoded into pixels of visual imaging data according to steganographic techniques. The depth information may be captured simultaneously with the visual imaging data, and one or more representative pixels may be identified within a region or sector of the visual imaging data according to a pixel traversal strategy. The depth information corresponding to the region or sector may be encoded into one or more least significant bits of the representative pixels, and a modified set of imaging data including the visual imaging data with the depth information encoded into the representative pixels may be stored in a data store and used for any relevant purpose.

    Active reflected light identification (RLID) device

    公开(公告)号:US10061956B1

    公开(公告)日:2018-08-28

    申请号:US15387275

    申请日:2016-12-21

    CPC classification number: G06K19/06 G01S17/74 H04B10/1121 H04B10/807

    Abstract: A reflected light identification (RLID) system uses light to communicate stored information across long distances with minimal interference. The RLID system may include a light source that directs an incident light signal to an RLID structure, which then transmits an encoded light signal to a sensor. The RLID system may include a passive RLID structure (i.e., a structure that does not include power source) such as an RLID reflection surface that includes layered reflective films that reflect the incident light signal back in multiple reflections that serially encodes data. The RLID system may also include an active RLID structure (i.e., a structure that includes power source) that uses energy harvesting to extract and accumulate power from an incident light signal, and then uses the harvested energy to transmit a return signal.

    Determining routing points and delivery points

    公开(公告)号:US09743239B1

    公开(公告)日:2017-08-22

    申请号:US14871080

    申请日:2015-09-30

    CPC classification number: H04W4/023 G06Q10/083 H04W4/021

    Abstract: Preferred points or regions in space for performing a task at a location, e.g., the delivery of an item to the location, may be defined based on sensed positions obtained during the prior performance of tasks at the location. The sensed positions may be identified using a GPS sensor or like system. Vectors including coordinates of the sensed position, and uncertainties of such coordinates, may be clustered into groups at the location. Subsequently identified vectors including coordinates and uncertainties may further refine a cluster, or be used to generate a new cluster. A preferred point or region in space may be identified based on such location hypotheses and utilized in the performance of tasks. Some preferred points or regions may be used for routing vehicles to the location, while others may correspond to delivery points for items at the location.

    Focus-based shuttering
    138.
    发明授权

    公开(公告)号:US09667879B1

    公开(公告)日:2017-05-30

    申请号:US15368324

    申请日:2016-12-02

    Abstract: Blur metrics may be calculated for each of the image pixels of a digital image of a scene captured using an imaging device. The blur metrics may be indicative of the level of blur expressed in the digital image, and a blur image representative of the blur metrics may be generated. Subsequently, when another digital image is to be captured using the imaging device, pixel sensors corresponding to high blur metrics may be digitized at a high level of priority, or at a high rate, compared to pixel sensors corresponding to low blur metrics, which may be digitized at a low level of priority, or at a low rate. The blur images may be updated based on changes in blur observed in subsequent images, and different pixel sensors may be digitized at higher or lower levels of priority, or at higher or lower rates, based on the changes in blur.

    OPTICAL TRANSMITTAL STORAGE NETWORKS
    139.
    发明申请
    OPTICAL TRANSMITTAL STORAGE NETWORKS 有权
    光传输存储网络

    公开(公告)号:US20160286289A1

    公开(公告)日:2016-09-29

    申请号:US14669503

    申请日:2015-03-26

    Abstract: Optical networks may store information or data therein by maintaining the information or data in motion. The optical networks may include optical fiber rings configured to receive optical signals comprising the information or data and to circulate the optical signals within the optical fiber rings. The optical signals and the information or data may be transferred out of the optical fiber rings in order to amplify the optical signals (e.g., to overcome losses due to attenuation within the optical fiber rings), to analyze the optical signals according to one or more processing techniques, or to transfer the information or data to another computer device upon request. If continued storage of the information or data is required, an optical signal including the information or data may be transferred back into the optical fiber rings and may continue to circulate therein.

    Abstract translation: 光网络可以通过维持信息或数据运动来存储信息或数据。 光网络可以包括被配置为接收包括信息或数据的光信号并且在光纤环内循环光信号的光纤环。 可以将光信号和信息或数据从光纤环传送出去,以便放大光信号(例如,克服光纤环内的衰减造成的损耗),以根据一个或多个 处理技术,或者根据要求将信息或数据传送到另一计算机设备。 如果需要继续存储信息或数据,则包括信息或数据的光学信号可以被传送回光纤环并且可以继续在其中循环。

    Sensing conveyor for object characteristic determination
    140.
    发明授权
    Sensing conveyor for object characteristic determination 有权
    传感器用于物体特性测定

    公开(公告)号:US09399557B1

    公开(公告)日:2016-07-26

    申请号:US14304557

    申请日:2014-06-13

    CPC classification number: B65G43/00 B07C5/16 B65G43/08 G01G19/035

    Abstract: Methods and devices for measuring attributes of objects such as containers and container content without opening the containers are disclosed. Measurements of containers are obtained during conveyance via conveyor. For example, a sensor, such as a pressure sensing system, may measure pressure or contact between the container and the conveyor conveying the container. The measurements may be analyzed to determine characteristics of the container such as the weight, weight distribution and/or dimensions of the container. The conveyor may be configured to jostle the container such that an inertial property of the container and/or container content may be measured and analyzed. The measurements obtained may be used to ascertain a problem or characteristic of the container and/or container content without opening the container, such as damage, packing condition, number of units, presence of liquids, and the like. The method and device may be used through a materials handling facility.

    Abstract translation: 公开了用于测量诸如容器和容器内容物等属性而不打开容器的方法和装置。 通过输送机输送过程中获得容器的测量。 例如,诸如压力感测系统的传感器可以测量容器和输送容器的传送带之间的压力或接触。 可以分析测量结果以确定容器的特性,例如容器的重量,重量分布和/或尺寸。 输送机可以构造成推挤容器,使得可以测量和分析容器和/或容器内容物的惯性特性。 所获得的测量可以用于确定容器和/或容器内容物的问题或特征,而不打开容器,例如损坏,包装条件,单元数量,存在液体等。 该方法和装置可以通过材料处理设备使用。

Patent Agency Ranking