TRACKING WITH REFERENCE TO A WORLD COORDINATE SYSTEM

    公开(公告)号:US20220414925A1

    公开(公告)日:2022-12-29

    申请号:US17845482

    申请日:2022-06-21

    摘要: Examples described herein provide a method that includes capturing data about an environment. The method further includes generating a database of two-dimensional (2D) features and associated three-dimensional (3D) coordinates based at least in part on the data about the environment. The method further includes determining a position (x, y, z) and an orientation (pitch, roll, yaw) of a device within the environment based at least in part on the database of 2D features and associated 3D coordinates. The method further includes causing the device to display, on a display of the device, an augmented reality element at a predetermined location based at least in part on the position and the orientation of the device.

    Using photogrammetry to aid identification and assembly of product parts

    公开(公告)号:US11460300B2

    公开(公告)日:2022-10-04

    申请号:US17154927

    申请日:2021-01-21

    申请人: Wayfair LLC

    摘要: A user may be aided in modifying a product that is an assemblage of parts. This aid may involve a processor obtaining images of a target part captured by the user on a mobile device camera. The processor may compare, based on the captured images and a plurality of images of identified parts, the target part to the identified parts. Based on the comparison, the processor may determine an identity of the target part. This aid may also involve a processor obtaining images of a first configuration of a partial assembly of the product captured by a mobile device camera. The processor may compare, based on the captured images, the first configuration to a correct configuration of the partial assembly. Based on the comparison, the processor may determine that the first configuration does not match the correct configuration and may notify the user accordingly.

    Sensor shift for remote sensing
    85.
    发明授权

    公开(公告)号:US11407530B2

    公开(公告)日:2022-08-09

    申请号:US16804315

    申请日:2020-02-28

    发明人: Victor Solanyk

    摘要: Techniques for improving the quality of images captured by a remote sensing overhead platform such as a satellite. Sensor shifting is employed in an open-loop fashion to compensate for relative motion of the remote sensing overhead platform to the Earth. Control signals are generated for the sensor shift mechanism by an orbital motion compensation calculation that uses the predicted ephemeris (including orbit dynamics) and image geometry (overhead platform to target). Optionally, the calculation may use attitude and rate errors that are determined from on-board sensors.

    System and method for updating map
    87.
    发明授权

    公开(公告)号:US11340081B2

    公开(公告)日:2022-05-24

    申请号:US16843145

    申请日:2020-04-08

    申请人: Pony AI Inc.

    发明人: Piaoyang Cui

    摘要: Provided herein is a system that comprises one or more sensors that capture data, one or more processors, and a memory storing instructions that, when executed by the one or more processors, causes the system to perform functions that include identifying one or more locations within a distance of the vehicle, capturing current data of the identified one or more locations, determining one or more changes that exceed respective threshold amounts between the current data and historical data of the identified one or more locations, and updating the historical data of the identified one or more locations based on the determined one or more changes.

    Method for training a neural convolutional network for determining a localization pose

    公开(公告)号:US11315279B2

    公开(公告)日:2022-04-26

    申请号:US17026796

    申请日:2020-09-21

    申请人: Robert Bosch GmbH

    摘要: A method for training a neural convolutional network for determining, with the aid of the neural convolutional network, a localization pose of a mobile platform using a ground image. Using a first multitude of aerial image training cycles, each aerial image training cycle includes: providing a reference pose of the mobile platform; and providing an aerial image of the environment of the mobile platform in the reference pose; using the aerial image as an input signal of the neural convolutional network; determining the respective localization pose with the aid of an output signal of the neural convolutional network; and adapting the neural convolutional network to minimize a deviation of the respective localization pose determined using the respective aerial image from the respective reference pose.