Bidirectional Distance Sensor Fusion for Localization
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Solution Overview
Problem
Current technologies lack the capability to enable devices to accurately localize themselves and other objects within defined areas, such as buildings or vehicles, and act accordingly, as existing systems are not effectively integrated for indoor or outdoor use.
Innovation Solution
A device with a processor, memory, and distance sensors that communicate to obtain and fuse distance readings from both the device and an external object, allowing the system to determine positions and take actions based on these readings, using a network interface to send and receive data for localization purposes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If distance sensors are used to obtain readings for localization, then positioning capability is improved, but device complexity increases
Solution Approach 1:
The system divides the localization function into two parts: the device hosts a distance sensor for active scanning, while external objects host distance sensors for passive reflection detection. This segmentation allows the device to achieve accurate positioning without requiring complex sensor arrays, as it leverages the simpler external object sensors to complete the bidirectional distance measurement.
Solution Approach 2:
External objects equipped with distance sensors serve as intermediaries in the localization process. These objects reflect distance readings back to the device, enabling the device to determine its position relative to known objects without requiring complex infrastructure. The external objects act as mediators that facilitate accurate positioning while keeping the device itself relatively simple.
2Measurement precision
If bidirectional distance readings are fused to determine positions, then localization accuracy is improved, but computational requirements increase
Solution Approach 1:
The system performs partial data fusion by combining only the essential bidirectional distance readings needed for localization, rather than processing all possible sensor data. This selective approach achieves sufficient localization accuracy while avoiding the computational overhead of exhaustive data processing, thereby reducing power consumption while maintaining acceptable positioning precision.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables accurate localization and action within defined areas, improving navigation, safety, and interaction between devices and their environments through precise positioning and real-time data processing.
Implementation Method 1
a first distance sensor programmed to obtain a first distance reading off a physical object hosting a second distance sensor
Data Source
AI summary
This disclosure is enables various technologies involving various actions based on an object detecting a defined area and the defined area detecting the object.