Sensor Fusion via Radio Frame and Image Attribute Association
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Solution Overview
Problem
Existing sensor fusion systems face challenges in accurately associating objects sensed by multiple sensors due to the reliance on location estimation accuracy, leading to potential wrong associations or delayed association processes, especially when multiple objects are present in a given area.
Innovation Solution
The system analyzes radio frames and images from multiple sensors to extract attribute information, using both location and attribute data to judge associations between objects, thereby improving the reliability and speed of object association.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If association is judged based only on location estimation information, then the association process is simple, but the reliability of association decreases when multiple objects are present in a given area
Solution Approach 1:
The patent combines multiple types of information (location estimation information and attribute information from radio frame analysis) to judge associations between objects. By merging these different information sources, the system achieves higher association reliability without excessively increasing processing complexity, as the attribute information helps distinguish between multiple objects in the same location area.
Solution Approach 2:
The patent changes the parameters used for association judgment from solely location-based to include both location and attribute parameters. By analyzing radio frame attributes (such as communication patterns, device types, or signal characteristics) in addition to location, the system can reliably distinguish between multiple objects even when they are close together, thereby improving association reliability.
2Reliability
If multiple types of sensor information are integrated for association, then the accuracy of association improves, but the time required for association increases
Solution Approach 1:
The system performs preliminary analysis of radio frame attributes continuously, so that when association judgment is needed, the attribute information is already prepared and available. This preliminary action allows the system to quickly combine pre-analyzed attributes with current location data, reducing the time required for association while maintaining high accuracy.
Solution Approach 2:
The association judgment process is segmented into independent analysis components: location estimation, radio frame attribute analysis, and integrated judgment. This segmentation allows each component to process information independently and in parallel, reducing the total processing time while maintaining the benefits of multi-information integration for accurate association.
Data Source
AI summary
The present invention is designed to make it possible to draw proper associations, when integrating pieces of information estimated in individual sensors, by associating between objects sensed by a plurality of sensors. A sensor information integration system 101 includes a radio frame analyzing section 33 configured to analyze a radio frame transmitted from a first object, to extract the first attribute information, an image analyzing section 40 configured to analyze an image, in which a second object is sensed, to extract second attribute information, and an association judging section 21 configured to judge an association between the first object and the second object, using the first attribute information and the second attribute information.