Multi-Terminal Sensor Fusion for Dangerous Driving Determination
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Solution Overview
Problem
Existing techniques for analyzing the cause of traffic accidents rely solely on data from on-vehicle terminals, which limits the accuracy in determining whether dangerous driving has occurred, as they do not account for variations in sensor types, detection accuracy, and determination algorithms between on-vehicle and passenger terminals.
Innovation Solution
An information collection system that acquires and combines event sensor data from both on-vehicle and passenger terminals, using identification information to request and store sensor data from the appropriate terminals, thereby improving the accuracy of determining dangerous driving by incorporating data from multiple sources.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If only on-vehicle terminal data is used for determining dangerous driving, then the system complexity is low, but the determination accuracy is insufficient
Solution Approach 1:
The patent combines data from on-vehicle terminals and passenger terminals into a unified analysis system. The server collects sensor data from both terminal types and integrates them for comprehensive dangerous driving determination, leveraging the complementary strengths of each data source to improve accuracy while managing system complexity through centralized coordination.
Solution Approach 2:
The system is designed to handle multiple data sources (on-vehicle terminals and passenger terminals) through a universal processing framework. The server can process and analyze data from different terminal types using the same determination algorithms, making the system multi-functional and adaptable to various input sources without requiring separate processing pipelines.
2Measurement precision
If data from multiple terminals is collected and combined, then the determination accuracy improves, but the data processing complexity increases
Solution Approach 1:
The server acts as an intermediary between on-vehicle terminals and passenger terminals, receiving data from both sources and performing centralized processing. This mediator approach simplifies the overall system architecture by consolidating complex data integration and analysis tasks in a single location, rather than requiring direct peer-to-peer processing between multiple terminals.
Solution Approach 2:
The system segments data collection and processing into distinct functional modules: data acquisition from on-vehicle terminals, data acquisition from passenger terminals, data integration, and determination analysis. This segmentation allows each module to be optimized independently and facilitates manageable processing of multi-source data while maintaining overall system coherence.
Data Source
AI summary
In an information collection method of the present disclosure, a processor of an information collection system acquires event sensor data and identification information from an on-vehicle terminal or a passenger terminal, the event sensor data being output, in response to an event trigger, from an on-vehicle sensor mounted on the on-vehicle terminal or a passenger sensor mounted on the passenger terminal, the identification information identifying an output source of the event sensor data, identifies the passenger terminal associated with the identification information when the identification information indicates the on-vehicle terminal, identifies the on-vehicle terminal associated with the identification information when the identification information indicates the passenger terminal, requests sensor data from the identified passenger terminal or on-vehicle terminal, acquires the sensor data from a request destination, and stores the event sensor data and the sensor data in association with each other in a second memory as dangerous driving information.