Systems and techniques for geofence crossing-based control

    公开(公告)号:US11175407B2

    公开(公告)日:2021-11-16

    申请号:US16554932

    申请日:2019-08-29

    Abstract: Geofence crossing-based control systems and techniques are described herein. For example, a geofence crossing control technique may include receiving a location signal indicative of a range of locations in which a mobile computing device is located; receiving a velocity signal indicative of a speed and direction of the mobile computing device; generating, for each of a plurality of candidate geofence crossing times, a performance indicator based on the location signal, the velocity signal, and a boundary of the geofence; selecting a geofence crossing time from the plurality of candidate geofence crossing times based on the performance indicators; and transmitting a control signal representative of the geofence crossing time. Other embodiments may be disclosed and/or claimed.

    Drone localization
    4.
    发明授权
    Drone localization 审中-公开

    公开(公告)号:US10670709B2

    公开(公告)日:2020-06-02

    申请号:US16241657

    申请日:2019-01-07

    Abstract: A controller comprises a communication interface to receive an anchor localization dataset comprising a plurality of anchor range measurements and a processing circuitry to identify a qualified subset of anchor range measurements from the anchor localization dataset, wherein the anchor range measurements in the qualified subset are consistent, select a first anchor range measurement in the anchor localization dataset from outside the qualified subset of anchor range measurements, and add the first anchor range measurement to the qualified subset of anchor range measurements when the first anchor range measurement is consistent with the anchor range measurements in the qualified subset of anchor range measurements.

    Heading estimation for determining a user's location

    公开(公告)号:US10139232B2

    公开(公告)日:2018-11-27

    申请号:US15797646

    申请日:2017-10-30

    Abstract: Technologies for determining a user's location by a mobile computing device include detecting, based on sensed inertial characteristics of the mobile computing device, that a user of the mobile computing device has taken a physical step in a direction. The mobile computing device determines a directional heading of the mobile computing device in the direction and a variation of an orientation of the mobile computing device relative to a previous orientation of the mobile computing device at a previous physical step of the user based on the sensed inertial characteristics. The mobile computing device further applies a Kalman filter to determine a heading of the user based on the determined directional heading of the mobile computing device and the variation of the orientation and determines an estimated location of the user based on the user's determined heading, an estimated step length of the user, and a previous location of the user at the previous physical step.

    METHODS AND APPARATUS TO IMPLEMENT DUAL-ATTENTION VISION TRANSFORMERS FOR INTERACTIVE IMAGE SEGMENTATION

    公开(公告)号:US20220301097A1

    公开(公告)日:2022-09-22

    申请号:US17832366

    申请日:2022-06-03

    Abstract: Methods, apparatus, systems, and articles of manufacture are disclosed to implement dual attention vision transformers for interactive image segmentation. In some examples, the apparatus includes memory, instructions, and processor circuitry to execute and/or instantiate the instructions to partition information in an input tensor into a plurality of tensor crops, the input tensor representing image data of an image. The processor circuitry is further to execute and/or instantiate the instructions to create a dual-attention tensor representation of the input tensor, including an inter-attention tensor representation describing a first correlation between the plurality of tensor crops and an intra-attention tensor representation describing a second correlation between a plurality of layers in a tensor crop of the plurality of tensor crops.

    Techniques for Interactive Image Segmentation Networks

    公开(公告)号:US20210225002A1

    公开(公告)日:2021-07-22

    申请号:US17161139

    申请日:2021-01-28

    Abstract: Various embodiments are generally directed to techniques for image segmentation utilizing context, such as with a machine learning (ML) model that injects context into various training stages. Many embodiments utilize one or more of an encoder-decoder model topology and select criteria and parameters in hyper-parameter optimization (HPO) to conduct the best model neural architecture search (NAS). Some embodiments are particularly directed to resizing context frames to a resolution that corresponds with a particular stage of decoding. In several embodiments, the context frames are concatenated with one or more of data from a previous decoding stage and data from a corresponding encoding stage prior to being provided as input to a next decoding stage.

    Neural network classification through decomposition

    公开(公告)号:US10915794B2

    公开(公告)日:2021-02-09

    申请号:US15548396

    申请日:2015-03-26

    Inventor: Ke Ding Chun Luo

    Abstract: A classification system is described which may include neural network decomposition logic (“NND”), which may perform classification using a neural network (“NN”). The NND may decompose a classification decision into multiple sub-decision spaces. The NND may perform classification using an NN that has fewer neurons than the NND utilizes for classification and/or which accepts feature vectors of a smaller size than are input into the NND. The NND may maintain multiple contexts for sub-decision spaces, and may switch between these in order to perform classification using the sub-decision spaces. The NND may combine results from the sub-decision spaces to decide a classification. By diving the decision into sub-decision spaces, the NND may provide for classification decisions using NNs that might otherwise be unsuitable for a particular classification decisions. Other embodiments may be described and/or claimed.

    HEADING ESTIMATION FOR DETERMINING A USER'S LOCATION

    公开(公告)号:US20190390960A1

    公开(公告)日:2019-12-26

    申请号:US16200758

    申请日:2018-11-27

    Abstract: Technologies for determining a user's location by a mobile computing device include detecting, based on sensed inertial characteristics of the mobile computing device, that a user of the mobile computing device has taken a physical step in a direction. The mobile computing device determines a directional heading of the mobile computing device in the direction and a variation of an orientation of the mobile computing device relative to a previous orientation of the mobile computing device at a previous physical step of the user based on the sensed inertial characteristics. The mobile computing device further applies a Kalman filter to determine a heading of the user based on the determined directional heading of the mobile computing device and the variation of the orientation and determines an estimated location of the user based on the user's determined heading, an estimated step length of the user, and a previous location of the user at the previous physical step.

Patent Agency Ranking