Driving Risk Determination via Segmented Sensor Modules
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Solution Overview
Problem
Current driving assistance systems primarily focus on vehicle-to-vehicle communication and driver status, neglecting the comprehensive assessment of the driving environment, which includes factors like road conditions and pedestrian presence, thereby limiting their effectiveness in determining overall driving risk.
Innovation Solution
A driving environment risk determination apparatus that integrates driver status, other-vehicle status, and environmental data acquisition modules to calculate and notify drivers of the risk level through a comprehensive risk determination module, utilizing sensors and communication units for real-time data collection and notification.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If driving assistance systems focus only on vehicle-to-vehicle communication and driver status, then the system complexity is reduced, but the comprehensiveness of driving risk assessment deteriorates
Solution Approach 1:
The risk determination apparatus segments the driving risk assessment into multiple independent modules: driver status acquisition module, other-vehicle status acquisition module, and driving environment acquisition module. Each module independently collects specific types of data, and the risk determination module integrates these segmented data streams to achieve comprehensive assessment without overwhelming system complexity
Solution Approach 2:
The risk determination module serves multiple functions simultaneously: it processes driver status data, other-vehicle status data, and driving environment data through a unified risk calculation framework. This multi-functional approach allows comprehensive risk assessment while avoiding the need for separate specialized systems for each data type
2Measurement precision
If driving assistance systems use comprehensive environmental data including road conditions and pedestrian presence, then the driving risk assessment accuracy is improved, but the device complexity increases
Solution Approach 1:
The acquisition modules are segmented by data type (driver status, other-vehicle status, driving environment), allowing each module to specialize in collecting specific environmental factors while maintaining manageable individual complexities. The risk determination module then integrates these segmented data sources to achieve high assessment accuracy
Solution Approach 2:
The risk determination module acts as an intermediary that receives processed data from multiple specialized acquisition modules and produces the final risk assessment. This intermediary structure allows comprehensive environmental data collection without requiring each component to handle all data types, thus managing device complexity while improving assessment accuracy
Data Source
AI summary
A driving environment risk determination apparatus includes a driver status acquisition module that acquires a status of a driver who drives another vehicle running in the vicinity of a subject vehicle that is equipped with the driving environment risk determination apparatus, an other-vehicle status acquisition module that acquires a driving status of the another vehicle, a driving environment acquisition module that acquires a driving environment in the vicinity of the subject vehicle, a risk determination module that calculates a degree of risk from information acquired through the driver status acquisition module, the other-vehicle status acquisition module, and the driving environment acquisition module and thereby determines whether the degree of risk is minor or major.