Vehicle Device Integrating Internal and External Sensor Data
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Solution Overview
Problem
Existing vehicle information processing systems fail to effectively integrate internal and external information related to the same target from different sources, leading to increased processing load and potential delays in risk prediction and control.
Innovation Solution
A vehicle device equipped with an acquisition unit for internal information, a comparison unit for external information, and an integration unit that determines and integrates information from various sources based on the identical target, reducing redundant processing and enhancing information sharing and risk prediction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If information from multiple sources is processed separately, then each source can be processed independently, but processing load increases and delays occur
Solution Approach 1:
The patent merges internal information from the subject vehicle's sensors with external information from other vehicles' sensors by identifying identical targets and integrating their data. This combining approach reduces processing load by eliminating redundant operations and improves efficiency by leveraging multiple data sources simultaneously.
2Reliability
If internal and external information are not integrated, then processing remains simple, but risk prediction accuracy decreases
Solution Approach 1:
The patent segments the information integration process into distinct steps: acquiring internal information, acquiring external information, comparing target identifiers, and integrating matching information. This segmentation makes the complex integration task manageable and systematic, improving reliability while controlling complexity.
Solution Approach 2:
The patent uses target identifiers as an intermediary mechanism to link internal and external information. By comparing identifiers from both sources, the system mediates between different information streams to find matches, enabling accurate risk prediction without direct complex integration of all data.
3Quantity of substance
If redundant information processing is performed, then comprehensive coverage is achieved, but processing time increases
Solution Approach 1:
The patent extracts and processes only the essential information needed for risk prediction by identifying identical targets through their identifiers. This extraction approach maintains comprehensive coverage of relevant targets while eliminating redundant processing of duplicate or non-matching information, reducing processing time.
Data Source
AI summary
By a vehicle device or an information integration method, internal information is acquired, the internal information is compared with external information, whether both of the internal information and the external information include information related to an identical target is determined, the information that is acquired from a plurality of different sources and related to the identical target is integrated.


