Multi-Device Sensor Fusion for Higher Angular Resolution
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Solution Overview
Problem
Existing systems struggle to combine sensor data from multiple devices into a single coordinate space effectively, particularly for consumer electronic devices with lower power and angular resolution sensors, limiting their spatial awareness and collision avoidance capabilities.
Innovation Solution
A method and system for fusing sensor data from multiple devices by determining relative positions using common object tracking and coordinate space transformations, enabling improved angular resolution and sensor management through network communication and sensor data sharing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Use of energy by moving object
If lower power sensors are used in consumer electronic devices, then energy consumption is reduced, but angular resolution and spatial awareness capability deteriorate
Solution Approach 1:
The patent combines sensor data from multiple devices into a single coordinate space, merging their individual measurement capabilities. By fusing radar data from multiple lower-power sensors, the system achieves angular resolution and spatial awareness equivalent to or exceeding that of single high-power navigational radar sensors, thus resolving the contradiction between low power consumption and high measurement precision.
2Measurement precision
If sensor data from multiple devices is fused, then overall angular resolution is improved, but device complexity and coordination requirements increase
Solution Approach 1:
The patent introduces a coordinate space transformation mechanism as an intermediary that standardizes and harmonizes sensor data from multiple devices. By establishing a common reference frame and using transformation algorithms, the system simplifies the complexity of fusing data from devices with different orientations and positions, making the data fusion process more manageable while achieving improved angular resolution.
3Device complexity
If devices operate independently with individual sensors, then device simplicity is maintained, but spatial awareness and collision avoidance capability are limited
Solution Approach 1:
The patent segments the overall spatial awareness function across multiple independent devices, where each device maintains its own sensor and processing simplicity. Rather than requiring one complex centralized sensor system, the functionality is divided among several simpler devices that collectively provide enhanced collision avoidance capability through data fusion, thus resolving the contradiction between device simplicity and system reliability.
Data Source
AI summary
Embodiments described herein provide for a technique to enable sensor data gathered by multiple electronic devices, such as smart home devices, to be fused into a single coordinate space to enable a higher sensor resolution at each device. For example, multiple sensor equipped devices may communicate over a network to share sensor data between devices. Each device can combine local sensor data with remote sensor data received from other devices to increase the angular resolution of the detected sensor data. To enable this combination, motion characteristics of commonly detected objects can be used to enable the devices to determine a set of relative positions. Coordinate space transformations can then be computed based on the relative positions. Sensor data can be fused using the determined coordinate space transformations.