Vehicle Alert Control Using Multi-Modal Drowsy Driving Countermeasures
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Solution Overview
Problem
Traffic accidents caused by drowsy driving are frequent and current prevention methods are inadequate, necessitating a system to actively prevent drowsy driving by detecting objects around a vehicle and engaging appropriate countermeasures.
Innovation Solution
A vehicle control system comprising a detection unit that calculates a result point based on distance and lane information, triggering a display, vibration, or sound device to alert the driver through specific operation modes, thereby preventing drowsy driving by engaging multiple devices based on detected objects around the vehicle.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If multiple devices (display, vibration, sound) are activated to alert the driver, then the effectiveness of preventing drowsy driving is improved, but the device complexity and energy consumption increase
Solution Approach 1:
The system dynamically adjusts the type and intensity of alerts based on the calculated result point value. When the result point is high (indicating high drowsiness risk), multiple devices including display, vibration, and sound are activated. When the result point is lower, fewer or milder alerts are used. This dynamic adaptation resolves the contradiction by optimizing device activation based on real-time driver state assessment.
Solution Approach 2:
The system changes the parameters of alert delivery based on the detected driver state. The result point calculation integrates multiple parameters (eye closure duration, steering input frequency, etc.) to determine the appropriate alert intensity. This parameter-based control allows the system to scale alert effectiveness proportionally to the detected drowsiness level, avoiding unnecessary activation of all devices when risk is moderate.
2Measurement precision
If multiple detection parameters (distance information, lane information) are integrated to calculate result point, then the measurement precision of driver state assessment is improved, but the calculation complexity increases
Solution Approach 1:
The detection system is segmented into distinct functional modules: a first detection unit for detecting driver state parameters (eye closure, steering input), a second detection unit for detecting vehicle context (distance to object, lane position), and a point calculation unit that integrates these segmented inputs. This segmentation allows each module to perform its specific function independently, simplifying the overall complexity while maintaining comprehensive measurement precision through integrated result point calculation.
Data Source
AI summary
A vehicle control system according to an embodiment of the present disclosure may include a detection unit, a control unit and a plurality of devices. The detection unit may detect an object around a vehicle to output detection information provided from the object. The control unit may provide a mode signal and a control signal corresponding to a plurality of operation modes, based on the detection information. The plurality of devices may be driven based on the mode signal and the control signal.The vehicle control system according to the present disclosure may prevent drowsy driving on a road by allowing the plurality of devices to be driven based on the detection information provided by detecting the object around the vehicle.