Structure Detection via Image and Inertial Data Fusion
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Solution Overview
Problem
Current wireless communication systems, such as 5G NR, lack accurate information about the environment surrounding a device, with GPS providing only approximate positions and no details about the nearby structures.
Innovation Solution
A device equipped with an imager, inertial measurement unit, and processing system that captures images, determines positional information, identifies nearby structures, and verifies address information by comparing image data with remote server-provided regional information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If GPS is used to determine device position, then the device can obtain location information, but the position accuracy is only approximate and no environmental structure information is provided
Solution Approach 1:
The patent combines multiple positioning technologies (GPS, WiFi, cellular tower triangulation) with image recognition and inertial measurement unit (IMU) data to create a hybrid positioning system. This merging of different information sources enables both high-precision positioning and environmental structure identification, resolving the contradiction between position accuracy and environmental information availability.
Solution Approach 2:
The patent introduces an image recognition system as an intermediary between the device and the environment. The imager captures images of surrounding structures, and image processing algorithms identify buildings, roads, and other environmental features. This intermediary provides detailed environmental structure information that GPS alone cannot deliver, while the integrated system maintains high positioning accuracy.
2Measurement precision
If multiple sensing components (imager, IMU, GPS, WiFi) are integrated to improve environmental awareness, then structure identification accuracy is enhanced, but device complexity increases
Solution Approach 1:
The patent designs a multi-functional processing system that handles diverse data types (GPS coordinates, WiFi signals, IMU measurements, image data) through a unified architecture. The processing system performs multiple functions: positioning, orientation determination, image recognition, and data fusion. This universal approach improves structure identification accuracy while managing system complexity through integrated processing rather than separate dedicated systems for each function.
3Loss of information
If the device captures and processes images to identify structures, then environmental information is obtained, but energy consumption increases
Solution Approach 1:
The patent implements periodic or event-driven image capture rather than continuous imaging. The imager activates based on specific conditions such as when the device is stationary, when location changes are detected, or when user interaction occurs. This periodic action reduces energy consumption significantly compared to continuous imaging, while still providing sufficient environmental information for structure identification and positioning verification.
Data Source
AI summary
In an aspect of the disclosure, a method, a computer-readable medium, and an apparatus are provided. The apparatus may include an imager, an inertial measurement unit, and a processing system. The imager may be configured to capture an image. The inertial measurement unit may have an output. The processing system may be configured to collect positional information indicating a position of the computing device in response to the output from the inertial measurement unit. Further, the processing system may be configured to determine a selected structure captured in the image. Further, the processing system may be configured to identify information corresponding to the selected structure based on the positional information.