Transmitter Receiver Localization for CGR Content Anchoring
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Solution Overview
Problem
Conventional models for anchoring digital content to reality in CGR systems face challenges such as privacy concerns and the question of who determines relevant digital content for observers.
Innovation Solution
The implementation of a transmitter and receiver localization system that uses light-based unidirectional transmitters and steerable receivers to encode and decode digital information specific to the transmitter, allowing for the estimation of direction and distance, and simplifying the processing of digital content.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If conventional referential models (QR codes, BLE devices) are used to anchor digital content to reality, then content delivery is simplified, but privacy concerns arise and control over content relevance is lost
Solution Approach 1:
The patent inverts the conventional model by placing the transmitter (content source) rather than the receiver (observer) at the center of the system. Transmitters broadcast content and metadata including location information, while receivers passively receive and filter content based on their own location data. This inversion shifts control to observers who can determine relevance locally without exposing their position to content providers.
Solution Approach 2:
The system enables receivers to autonomously determine content relevance by comparing their location against location data embedded in transmitted content metadata. Observers independently filter and select content without requiring centralized control or disclosure of their position to content providers, achieving self-service content selection that preserves privacy.
2Adaptability or versatility
If algorithmic models with machine vision algorithms are used to parse sensor data and identify objects, then content relevance can be determined, but computational load at the receiver increases and privacy issues persist
Solution Approach 1:
The patent applies preliminary action by embedding location metadata and content identification information in the transmitted signal before reception. Receivers don't need to perform complex image parsing or object identification algorithms; instead, they directly use the pre-packaged location data from multiple transmitters to determine content relevance, dramatically reducing computational requirements.
Solution Approach 2:
The system replaces complex machine vision algorithms (mechanical/optical processing) with a computational geometry approach using triangulation and multilateration. Instead of parsing visual data to identify objects, the receiver uses mathematical calculations on signal strength and time-of-flight data from multiple transmitters to directly compute location and determine content relevance.
3Reliability
If transmitters broadcast location information to enable content delivery, then content anchoring to reality is achieved, but observer privacy is compromised
Solution Approach 1:
The patent inverts the information flow by having transmitters broadcast their location data rather than receivers transmitting their location. Content providers (transmitters) voluntarily disclose their position information in broadcast signals, while observers (receivers) maintain privacy by not exposing their location to content providers. This inversion achieves reliable content anchoring while preserving observer anonymity.
Solution Approach 2:
The system uses an intermediary approach where location information is embedded in the content metadata itself rather than being exchanged directly between observers and content providers. Receivers obtain location data from the transmitted signal and independently perform location matching, acting as an intermediary that protects both transmitter location disclosure and receiver privacy simultaneously.
Data Source
AI summary
Methods and apparatus for transmitter and receiver localization within an environment. A transmitter transmits a signal that includes information (e.g., wavelength, polarization, and/or modulation) that varies based on observation angle. Receiver(s) may estimate direction of the transmitter in the environment based on the received signal. Intensity of the signal may be used to determine distance of the transmitter to the receiver(s). The receiver(s) may then convey the respective estimated distance and direction to the transmitter, for example via a wireless connection. The transmitter may then generate a map of the respective distances and directions to receiver(s) in the environment, and may convey absolute location and orientation of the transmitter in the environment to the receiver(s), for example via a wireless connection.