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1.发明授权公开(公告)号：US12045951B2
公开(公告)日：2024-07-23
申请号：US17564054
申请日：2021-12-28
Applicant: MFTB Holdco, Inc.
Inventor： Will Adrian Hutchcroft , Yuguang Li , Zhiqiang Wan , Ivaylo Boyadzhiev
Abstract: Techniques are described for automated operations to analyze visual data from images acquired in multiple rooms of a building to generate multiple types of building information (e.g., to include a floor plan for the building), such as by using a trained neural network to jointly generate the multiple types of building information by combining visual data from pairs of the images, and for subsequently using the generated building information in one or more further automated manners, with the building information generation further performed in some cases without having or using information from any distance-measuring devices about distances from an image's acquisition location to walls or other objects in the surrounding room. The automated operations may include generating some types of building information with respect to each image pixel column, and other types of building information by combining data from both images of a pair.
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公开(公告)号：US12260156B2
公开(公告)日：2025-03-25
申请号：US17872914
申请日：2022-07-25
Applicant: MFTB Holdco, Inc.
Inventor： Zhiqiang Wan , Will A. Hutchcroft , Manjunath Narayana , Ivaylo Boyadzhiev , Yuguang Li
Abstract: Techniques are described for computing devices to perform automated operations related to using images acquired in a building as part of an automated generation process of a floor plan or other mapping information for the building, in some cases without using depth information from depth-sensing equipment about distances from the images' acquisition locations to objects in the surrounding building, and for subsequent use in further automated manners, such as controlling navigation of mobile devices and/or for display to end users in a corresponding graphical user interface. The automated analysis and assessment of the building images may, for example, include incrementally generating partial versions of the mapping information, determining acquisition instructions related to further acquisition of additional images and/or other types of data (e.g., to reduce uncertainty associated with portions of the partial mapping information or otherwise obtain missing data), and providing corresponding guidance in or more manners.
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公开(公告)号：US20240029352A1
公开(公告)日：2024-01-25
申请号：US17872914
申请日：2022-07-25
Applicant: MFTB Holdco, Inc.
Inventor： Zhiqiang Wan , Will A. Hutchcroft , Manjunath Narayana , Ivaylo Boyadzhiev , Yuguang Li
Abstract: Techniques are described for computing devices to perform automated operations related to using images acquired in a building as part of an automated generation process of a floor plan or other mapping information for the building, in some cases without using depth information from depth-sensing equipment about distances from the images' acquisition locations to objects in the surrounding building, and for subsequent use in further automated manners, such as controlling navigation of mobile devices and/or for display to end users in a corresponding graphical user interface. The automated analysis and assessment of the building images may, for example, include incrementally generating partial versions of the mapping information, determining acquisition instructions related to further acquisition of additional images and/or other types of data (e.g., to reduce uncertainty associated with portions of the partial mapping information or otherwise obtain missing data), and providing corresponding guidance in or more manners.
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4.发明公开公开(公告)号：US20230206393A1
公开(公告)日：2023-06-29
申请号：US17564054
申请日：2021-12-28
Applicant: MFTB Holdco., Inc.
Inventor： Will Adrian Hutchcroft , Yuguang Li , Zhiqiang Wan , Ivaylo Boyadzhiev
Abstract: Techniques are described for automated operations to analyze visual data from images acquired in multiple rooms of a building to generate multiple types of building information (e.g., to include a floor plan for the building), such as by using a trained neural network to jointly generate the multiple types of building information by combining visual data from pairs of the images, and for subsequently using the generated building information in one or more further automated manners, with the building information generation further performed in some cases without having or using information from any distance-measuring devices about distances from an image's acquisition location to walls or other objects in the surrounding room. The automated operations may include generating some types of building information with respect to each image pixel column, and other types of building information by combining data from both images of a pair.
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