Driver State Detection Using Road-Adaptive Gaze Thresholds
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Solution Overview
Problem
Existing systems for determining a vehicle driver's state of careless driving are inadequate as they rely on a single criterion, failing to account for varying road conditions, which can lead to inappropriate detection.
Innovation Solution
An apparatus and method that dynamically adjust a predetermined area for determining careless driving based on road conditions, such as curves, changes in road inclination, and detected objects, using a processor to enlarge the area accordingly, incorporating data from a driver monitoring camera, GNSS receiver, and storage device to assess the driver's looking directions and face orientations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a single criterion is used to determine careless driving, then the determination process is simple, but the detection accuracy is insufficient and leads to inappropriate detection
Solution Approach 1:
The patent applies dynamics by making the predetermined area dynamic rather than fixed. The processor enlarges the predetermined area based on road conditions (curves, slopes, detected objects) and vehicle speed, allowing the monitoring system to adapt to varying driving environments. This resolves the contradiction by maintaining a relatively simple determination process while significantly improving detection accuracy through context-aware adaptation.
Solution Approach 2:
The patent changes the parameter of the predetermined area size based on road conditions and vehicle speed. When the vehicle encounters curves, slopes, or detected objects, or when speed increases, the processor enlarges the predetermined area accordingly. This parameter adjustment allows the system to maintain simple operation while achieving more accurate detection of careless driving behaviors appropriate to each situation.
2Ease of operation
If the predetermined area is fixed, then the determination method is simple, but it cannot adapt to varying road conditions leading to false negatives
Solution Approach 1:
The system transitions from a static predetermined area to a dynamic one that automatically adjusts based on road conditions and vehicle speed. The processor enlarges the area when detecting curves, slopes, objects, or increased speed, enabling the system to adapt to varying driving environments while maintaining ease of operation through automated adjustments.
Solution Approach 2:
The system incorporates feedback mechanisms where the processor continuously monitors road conditions (through detected objects, curve detection, slope detection) and vehicle speed, then uses this feedback to dynamically adjust the predetermined area size. This feedback loop enables automatic adaptation to road conditions without complicating the operation for the user.
3Reliability
If the predetermined area is enlarged to cover all possible scenarios, then detection coverage is improved, but false positives increase due to normal driver movements being flagged
Solution Approach 1:
The patent applies local quality by making different portions of the monitoring area have different characteristics based on road conditions. Instead of uniformly enlarging the area, the processor selectively enlarges the predetermined area in specific directions or regions based on detected curves, slopes, or objects. This allows comprehensive coverage of relevant areas while maintaining precision by not unnecessarily expanding the area in directions where normal driver movements occur.
4Ease of manufacture
If a fixed predetermined area is used, then the system is easy to implement, but it produces inappropriate detection results for different driving scenarios
Solution Approach 1:
The system implements a dynamic predetermined area that automatically adjusts based on road conditions and vehicle speed, maintaining ease of implementation through processor-based automation. The processor enlarges the area when detecting curves, slopes, objects, or increased speed, ensuring appropriate detection results for different driving scenarios without requiring complex manual configuration.
Data Source
AI summary
An apparatus for determining a state includes a processor configured to, when a movement area in which movement values indicating looking directions or face orientations of a driver of a vehicle are distributed is included in a predetermined area, determine that the driver is in a state of careless driving, and enlarge the predetermined area in accordance with a road condition around the vehicle. A method for determining a state includes, when a movement area in which movement values indicating looking directions or face orientations of a driver of a vehicle are distributed is included in a predetermined area, determining that the driver is in a state of careless driving, and enlarging the predetermined area in accordance with a road condition around the vehicle.