MFTB Holdco, Inc. (20240338854). Automated Mapping Information Generation From Analysis Of Building Photos simplified abstract
Contents
Automated Mapping Information Generation From Analysis Of Building Photos
Organization Name
Inventor(s)
Manjunath Narayana of Chino Hills CA (US)
Ivaylo Boyadzhiev of Seattle WA (US)
Automated Mapping Information Generation From Analysis Of Building Photos - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240338854 titled 'Automated Mapping Information Generation From Analysis Of Building Photos
The patent application describes techniques for using computing devices to automatically generate mapping information by analyzing visual data from photos of a defined area. This mapping information can then be used in various automated ways, including displaying it through different types of visualizations on graphical user interfaces. The defined area can include the interior of a multi-room building, with the generated information potentially including floor plans and other modeled representations of the building. Importantly, this generation can occur without measuring depth information about distances from the photo acquisition locations to surrounding objects in the building. The resulting floor plans and mapping-related information can be utilized for tasks such as controlling navigation of devices like autonomous vehicles.
- Automated operations to generate mapping information from visual data
- Usage of mapping information in automated manners, including visualization on graphical user interfaces
- Application in multi-room buildings without depth information
- Potential use for controlling navigation of devices
- No prior art provided in the abstract
- Potential Applications:**
- Indoor navigation systems - Building management and maintenance - Augmented reality applications - Automated inventory management systems
- Problems Solved:**
- Simplifying the process of generating mapping information for indoor spaces - Allowing for automated analysis and utilization of visual data for mapping purposes - Overcoming the need for depth information in generating floor plans
- Benefits:**
- Increased efficiency in mapping indoor spaces - Enhanced accuracy in modeling building interiors - Facilitation of automated navigation systems - Improved user experience in visualizing building layouts
- Commercial Applications:**
Title: Automated Indoor Mapping Technology for Enhanced Navigation Systems This technology could be utilized by companies developing indoor navigation apps for shopping malls, airports, hospitals, and other complex indoor environments. It could also be integrated into smart building management systems for efficient space utilization and maintenance.
- Questions about Indoor Mapping Technology:**
1. How does this technology improve upon traditional methods of generating indoor mapping information? 2. What are the potential privacy concerns associated with using visual data for mapping building interiors?
Original Abstract Submitted
techniques are described for using computing devices to perform automated operations to generate mapping information via analysis of visual data of photos of a defined area, and for using the generated mapping information in further automated manners, including to display the generated mapping information via various types of visualizations corresponding graphical user interfaces. in some situations, the defined area includes an interior of a multi-room building, and the generated information includes at least a partial floor plan and/or other modeled representation of the building—in addition, the generating may be further performed without having measured depth information about distances from the photos' acquisition locations to walls or other objects in the surrounding building. the generated floor plan and/or other mapping-related information may be further used in various manners, including for controlling navigation of devices (e.g., autonomous vehicles), etc.
