Automated usability assessment of buildings using visual data of captured in-room images

    公开(公告)号:US12190581B2

    公开(公告)日:2025-01-07

    申请号:US18244298

    申请日:2023-09-11

    Abstract: Techniques are described for automated operations related to analyzing visual data from images captured in rooms of a building and optionally additional captured data about the rooms to assess room layout and other usability information for the building's rooms and optionally for the overall building, and to subsequently using the assessed usability information in one or more further automated manners, such as to improve navigation of the building. The automated operations may include identifying one or more objects in each of the rooms to assess, evaluating one or more target attributes of each object, assessing usability of each object using its target attributes' evaluations and each room using its objects' assessment and other room information with respect to an indicated purpose, and combining the assessments of multiple rooms in a building and other building information to assess usability of the building with respect to its indicated purpose.

    Automated Exchange And Use Of Attribute Information Between Building Images Of Multiple Types

    公开(公告)号:US20230095173A1

    公开(公告)日:2023-03-30

    申请号:US17482325

    申请日:2021-09-22

    Abstract: Techniques are described for using computing devices to perform automated operations to generate mapping information of a defined area via analysis of visual data of images, including by using attribute information exchanged between paired or otherwise grouped images of multiple types to generate enhanced images, and for using the generated mapping information in further automated manners, including to use the generated mapping information for automated navigation and/or to display or otherwise present the generated mapping information. In some situations, the defined area includes an interior of a multi-room building, and the generated information includes at least one or more enhanced images and/or a partial floor plan and/or other modeled representation of the building, with the generating performed in some cases without having measured depth information about distances from the images acquisition locations to walls or other objects in the surrounding building.

    Automated Localization Using Beacon Transmitter Devices Of Data Acquired In Buildings

    公开(公告)号:US20240233260A1

    公开(公告)日:2024-07-11

    申请号:US18093780

    申请日:2023-01-05

    CPC classification number: G06T17/05 G06T7/50 G06T7/70

    Abstract: Techniques are described for using computing devices to perform automated operations for using wireless transmitter devices (e.g., beacon devices) at a building for determining the acquisition locations of images or other data acquired at the building, and for subsequently using the acquired data and determined acquisition location information in one or more further automated manners. Images to be analyzed may include panorama images acquired at acquisition locations in an interior of a multi-room building, and the determined acquisition location information may include a location on a building floor plan and optionally orientation direction—the acquisition location determination may further be performed without having or using information from any distance-measuring devices about distances from an image's acquisition location to objects in the surrounding building. The acquisition location information may be used in various automated manners, including for controlling navigation of devices (e.g., autonomous vehicles).

    Automated Analysis Of Visual Data Of Images To Determine The Images' Acquisition Locations On Building Floor Plans

    公开(公告)号:US20230125295A1

    公开(公告)日:2023-04-27

    申请号:US17897154

    申请日:2022-08-27

    Abstract: Techniques are described for using computing devices to perform automated operations for determining the acquisition location of an image using an analysis of the image's visual contents. In at least some situations, images to be analyzed include panorama images acquired at acquisition locations in an interior of a multi-room building, and the determined acquisition location information includes a location on a floor plan of the building and in some cases orientation direction information—in at least some such situations, the acquisition location determination is performed without having or using information from any distance-measuring devices about distances from an image's acquisition location to objects in the surrounding building. The acquisition location information may be used in various automated manners, including for controlling navigation of devices (e.g., autonomous vehicles), for display on one or more client devices in corresponding graphical user interfaces, etc.

    Automated Generation And Presentation Of Building Floor Plans With Associated Absolute Locations Using Surrounding Real-World Data

    公开(公告)号:US20250086334A1

    公开(公告)日:2025-03-13

    申请号:US18378127

    申请日:2023-10-09

    Abstract: Techniques are described for using data capture devices at a building to automatically generate a building floor plan and associate absolute location data with it, such as by associating separately captured GPS data or other absolute location data with the floor plan, and for presenting a model of the generated floor plan using the associated absolute location data (e.g., at a map position corresponding to the associated absolute location data). In some situations, the presenting of such a building floor plan includes showing varying levels of detail about structural aspects of the building interior and other interior aspects, such as based on the map zoom level and/or other factors. In addition, such presenting of a building floor plan may include automatically determining and using data about surroundings of the building, such as to provide information about views from the building, about directions to nearby points of interest, etc.

    Automated building identification using floor plans and acquired building images

    公开(公告)号:US11830135B1

    公开(公告)日:2023-11-28

    申请号:US17864234

    申请日:2022-07-13

    CPC classification number: G06T17/05 G06V10/75 G06V30/422 G06T2210/04

    Abstract: Techniques are described for using computing devices to perform automated operations for determining matching buildings and using corresponding information in further automated manners, such as by determining buildings having similarities to other indicated buildings based at least in part on building floor plans and/or other attributes, and by automatically generating descriptions of the similarities. In some situations, such matching building determinations are based on generating and using adjacency graphs for floor plans that represent inter-connections between rooms and other attributes of the buildings, and further generating and comparing vector-based embeddings that concisely represent the information of the adjacency graphs for use in performing inter-building comparisons and generating the descriptions. Information about such determined buildings may be used in various automated manners, including for controlling device navigation (e.g., autonomous vehicles), for display on client devices in corresponding graphical user interfaces, for further analysis to identify shared and/or aggregate characteristics, etc.

    Automated Generation And Use Of Building Videos Based On Analysis Of Building Floor Plan Information

    公开(公告)号:US20240160797A1

    公开(公告)日:2024-05-16

    申请号:US18389440

    申请日:2023-11-14

    CPC classification number: G06F30/13 G06V20/46

    Abstract: Techniques are described for using computing devices to perform automated operations for automatically generating videos and associated information about a building interior using other visual data about the building interior, as well as presenting the generated videos and associated information in various manners. In some situations, the generation is based at least in part on user input provided via user interactions with a displayed floor plan of the building, such as to select one or more rooms or other areas for which to include visual data in the video, and/or to select one or more building objects and/or other building structural elements and/or other building attributes for which to include visual data in the video. The techniques may further include determining and using information about such building attributes of the building from automated analysis of building information that includes floor plans and acquired building images.

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