Driving Determination Using Multi-Sensor Context for Fair Driver Evaluation
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Solution Overview
Problem
Existing driving evaluation systems incorrectly label defensive driving maneuvers as dangerous, leading to demotivated drivers due to unfair evaluations.
Innovation Solution
A driving determination system that uses sensor information and image/sound data to differentiate between unavoidable and unnecessary dangerous driving, determining the cause of sensed dangerous driving through a sensing unit, detection unit, and determination unit.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If driving evaluation is based solely on sensor information (acceleration, braking), then dangerous driving can be detected, but defensive driving maneuvers are incorrectly labeled as dangerous
Solution Approach 1:
The evaluation process is segmented into multiple independent analysis components: sensor information analysis, image information analysis, sound information analysis, and integrated determination. Each component processes specific types of data separately, allowing the system to comprehensively evaluate whether sudden vehicle operations were defensive maneuvers or actual dangerous driving by examining multiple evidence sources independently before reaching a final conclusion.
2Measurement precision
If multiple sensor types are used to improve detection accuracy, then system complexity increases
Solution Approach 1:
The determination unit serves as an intermediary that integrates information from multiple sensors (acceleration sensor, imaging sensor, sound sensor) and applies evaluation rules to determine whether operations were defensive maneuvers or dangerous driving. This intermediary component coordinates the complex multi-sensor system, processing data from various sources and synthesizing it into a unified evaluation result, thereby managing system complexity while maintaining high detection accuracy.
3Reliability
If image and sound sensors are added to detect traveling conditions, then false positives are reduced, but device complexity and cost increase
Solution Approach 1:
The imaging sensor and sound sensor continuously capture traveling condition information (pedestrians, animals, road conditions, weather) in advance before dangerous driving operations occur. This preliminary data collection allows the determination unit to retrospectively evaluate whether sudden acceleration or braking was a necessary defensive maneuver, reducing false positives while the sensors remain integrated into the existing vehicle system.
Data Source
AI summary
A driving determination system includes: a memory; and at least one processor coupled to the memory. The processor performs operations. The operations include: sensing dangerous driving of a vehicle based on sensor information of the vehicle; based on image information obtained by photographing inside or outside of the vehicle, detecting a traveling condition regarding traveling of the vehicle at the time the dangerous driving is sensed; and determining whether the sensed dangerous driving is unavoidable driving according to the detected traveling condition.


