Abstract: A system uses a fleet of AVs to assess visibility of target objects. Each AV has a camera for capturing images of target objects. AVs provide the captured images, or visibility data derived from the captured images, to a remote system, which aggregates visibility data describing images captured across the fleet of AVs. The AVs also provide condition data describing conditions under which the images were captured, and the remote system aggregates the condition data. The remote system processes the aggregated visibility data and condition data to determine conditions under which a target object does not meet a visibility threshold.

Abstract: A compositor generates a representation of a gradient image corresponding to a replaceable background object in a scene. The representation can be generated from user set of reference points in the scene.

Abstract: An orthogonal or multi-dimensional fabric interface is described herein to select and present content to a user. A location is determined and time is selected for the user. The multi-dimensional fabric is accessed for content based the determined location and the selected time. If content is stored in the multi-dimensional fabric at the determined location and the selected time, the user is notified of the content, which can then be presented to the user.

Abstract: The subject matter of this specification can be implemented in, among other things, methods, systems, computer-readable storage medium. A method can include receiving, by a processing device, image data including one or more image frames indicative of a current state of a meal preparation area. The processing device determines a first quantity of a first ingredient disposed within a first container based on the image data. The processing device determines a meal preparation procedure associated with the first ingredient based on the first quantity. The processing device causes a notification indicative of the meal preparation procedure to be displayed on a graphical user interface (GUI).

Abstract: Methods and systems are provided for deploying a cellular communication network, including basestation systems. A basestation system may include a plurality of femtocells including at least a first femtocell and a second femtocell, with the first femtocell being operable to support an operation in a coverage area corresponding to the second femtocell. A first transmission within the coverage area from the first femtocell may be coordinated with a second transmission within the coverage area from the second femtocell. The plurality of femtocells may further include a third femtocell, and a first reception by the first femtocell may be coordinated with a second reception by the third femtocell. The transmissions and/or receptions may be coordinated in one or more of time, power, and frequency.

Abstract: Radar, lidar, and other active 3D imaging techniques require large, heavy sensors that consume lots of power. Passive 3D imaging techniques based on feature matching are computationally expensive and limited by the quality of the feature matching. Fortunately, there is a robust, computationally inexpensive way to generate 3D images from full-motion video acquired from a platform that moves relative to the scene. The full-motion video frames are registered to each other and mapped to the scene coordinates using data about the trajectory of the platform with respect to the scene. The time derivative of the registered frames equals the product of the height map of the scene, the projected angular velocity of the platform, and the spatial gradient of the registered frames. This relationship can be solved in (near) real time to produce the height map of the scene from the full-motion video and the trajectory.

Abstract: A vehicle, Lidar system and method of detecting an object is disclosed. The Lidar system includes a photonic chip, and a laser integrated into the photonic chip. The laser has a front facet located at a first aperture of the photonic chip to direct a transmitted light beam into free space. A reflected light beam that is a reflection of the transmitted light beam is received at the photonic chip and a parameter of the object is determined from a comparison of the transmitted light beam and the reflected light beam. A navigation system operates the vehicle with respect to the object based on a parameter of the object.

Abstract: A method of pose calculation for a portable three-dimensional scanning device including a first sensor and a second sensor the method including utilizing data from the first sensor and data from the second sensor to acquire data defining six degrees of freedom of the scanning device to optimize a first pose calculation, receiving data comprising one of data from the first sensor and data from the second sensor, selecting a subset of the six degrees of freedom of the scanning device, utilizing the data from the first sensor and the received data for the selected subset of six degrees of freedom to optimize a second pose, wherein the unselected degrees of freedom are retained from the first pose and storing received data associated with the second camera pose in a point cloud database.

Abstract: An information processing apparatus includes a processor configured to detect, in response to detection of plural first character strings each representing a first item from a document having writing fields for items, second character strings related to the plural first character strings, respectively, and set at least one of the detected second character strings in setting information as a second item associated with the first item.

Abstract: A method for generating goods modeling data comprises obtaining a platform image associated with a platform, a plurality of first goods images and a plurality of second goods images, wherein the first goods images and the second goods images correspond to different viewing angles respectively, and an image synthesis processing is performed according to the platform image and at least one of the first goods images and the second goods images to generate a synthesized image. The synthesized image includes a plurality of adjacent or partially overlapping image areas which correspond to at least many of the viewing angles. The image areas include a first and a second image areas. The first image area includes one of the first goods images or one of the second goods images. The second image area includes one of the first goods images or one of the second goods images.

Abstract: Systems and methods for detecting udder disease based on machine learning methods and complementary supporting techniques are presented. Included are methods for assembling time sequences of images of each animal of a herd or set for subsequent use in per-animal image analysis for disease detection. Methods presented also include image pre-processing methods used prior to image analysis, resulting in contrast and resolution optimization such as appropriate image intensity level adjustment and resolution downsampling for more rapid and more accurate disease detection. Combinatorial techniques for compositing whole-udder images or udder-quarter images from partial images captures are described. Methods are provided for power usage optimization in regard to computing resources used in the computing-intensive AI analysis methods. Location-based and animal history-based detection refinements are incorporated into described systems.

Abstract: A background scenery portion may be identified in each of a plurality of image sets of an object, where each image set includes images captured simultaneously from different cameras. A correspondence between the image sets may determined, where the correspondence tracks control points associated with the object and present in multiple images. A multi-view interactive digital media representation of the object that is navigable in one or more dimensions and that includes the image sets may be generated and stored.

Abstract: There is provided a system to examine a semiconductor specimen, the system comprising a processor and memory circuitry configured to obtain a training sample comprising an image of a semiconductor specimen and a design image based on design data, train a machine learning module, wherein the training includes minimizing a function representative of a difference between a simulated image generated by the machine learning module based on a given design image, and a corrected image corresponding to a given image after correction of pixel position of the given image in accordance with a given displacement matrix, wherein the minimizing includes optimizing parameters of the machine learning module and of the given displacement matrix, wherein the trained machine learning module is usable to generate a simulated image of a specimen based on a design image of the specimen.

Abstract: A method for scanning a transmitted beam through a 360° FOV in a LIDAR system using no moving parts. The method includes directing a laser beam at a first frequency to an SPPR device and directing the laser beam from the SPPR device onto a conical mirror to direct the laser beam at a certain angle therefrom depending on the first frequency of the laser beam. The method further includes shifting the optical frequency of the laser beam to a second frequency to change the angle that the transmitted beam is directed from the conical mirror and intensity modulating the laser beam at the second frequency using a first intensity modulation frequency for a predetermined period of time. The method further includes receiving a reflected beam from the target and estimating a round trip time of the transmitted beam and the reflected beam using the modulation of the laser beam.

Abstract: Examples provide a system and method for autonomously placing items into non-rigid containers. An image analysis component analyzes image data generated by one or more cameras associated with picked items ready for bagging and/or a non-rigid container, such as, but not limited to, a bag. The image analysis component generates dynamic placement data identifying how much space is available inside the bag, bag tension, and/or contents of the bag. A dynamic placement component generates a per-item assigned placement for a selected item ready for bagging based on a per-bag placement sequence and the dynamic placement data. Instructions, including the per-item assigned placement designating a location within the interior of the non-rigid container to the selected item and an orientation for the selected item after bagging, is sent to at least one robotic device. The robotic device places the selected item into the non-rigid container in accordance with the instructions.

Abstract: An apparatus includes: a processed-image acquisition part for acquiring a processed image including image information of a surface of a substrate having a target film formed thereon; an estimation part for estimating a shape characteristic value of the target film, by applying an estimation model for estimating the shape characteristic value of the target film to the processed image; an underlying influence model creation part for creating an underlying influence model associated with a correlation between a difference between an estimation result of the shape characteristic value of the target film and a shape characteristic value of the target film acquired without using the estimation model, and information related to a color of a surface of an underlying substrate before the target film is formed, and an estimated-result correction part for correcting the estimation result of the shape characteristic value of the target film based on the underlying influence model.

Abstract: A method for environmental acquisition for acquiring the surrounding environment of a vehicle. Using a plurality of cameras and/or sensor devices, from at least two positions, images of the surrounding environment are produced, and on the basis of the images a free surface, as well as a contour bounding the free surface, are ascertained. Separately for each image and the contour determined on the basis of this image, for a multiplicity of points along the contour, feature vectors are calculated and entered into a one-dimensional array. Through matching of the one-dimensional arrays, correspondences are sought for which the three-dimensional position is subsequently ascertained by triangulation. A computing unit for carrying out at least individual method steps of the method is also described.

Abstract: Systems for item validation and image evaluation are provided. In some examples, a system may receive an instrument and associated data. The instrument may be received and at least one of a bill pay profile and a user profile may be retrieved. The bill pay profile and user profile may each include a plurality of previously processed instruments that have been determined to be valid and/or authentic. The instrument may be compared to the plurality of previously processed instruments to determine whether one or more elements of the instrument being evaluated match one or more corresponding elements of the plurality of previously processed instruments. Matching or non-matching elements may be identified. In some examples, one or more user interfaces may be generated displaying the instruments and including any highlighting or enhancements identifying matching or non-matching elements.

Abstract: Some embodiments include a method of generating an environment reference model for positioning comprising: receiving multiple data sets representing a scanned environment including information about a type of sensor used and data for determining an absolute position of objects or feature points represented by the data sets; extracting one or more objects or feature points from each data set; determining a position of each object or feature point in a reference coordinate system; generating a three-dimensional vector representation of the scanned environment aligned with the reference coordinate system including representation of the objects or feature points at corresponding locations; creating links between the objects or feature points in the three-dimensional vector model with an identified type of sensor by which they can be detected in the environment; and storing the three-dimensional vector model representation and the links in a retrievable manner.

Abstract: A method and system to preserve group call audio during a cloud-based group call service upgrade are provided. Audio duplication requests are received and managed through a message broker and instances of an audio distribution service. When a determination is made that an audio distribution service needs to be upgraded, the group call is preserved by generating new instances of the audio distribution service. The new instances of the audio distribution service are added to a queue of the message broker, and old instance of the audio duplication service are gracefully shutdown. Each new instance of the audio distribution service is used to route an audio stream associated with each of the original audio duplication requests, while the olds instances of the audio duplication service are being gracefully shutdown.