Drowsy Driving Prevention System Using Server-Computed Probability
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Solution Overview
Problem
Existing drowsy driving prevention systems are ineffective as they warn drivers only after the driver has already closed their eyes or the vehicle has departed from a lane, failing to prevent drowsy driving effectively.
Innovation Solution
An apparatus and method that uses a communication device to transmit vehicle information to a server, which calculates a drowsiness probability based on learned data from other vehicles, and generates commands to alert the driver through warnings, such as sounds or vehicle operations, when the probability exceeds a reference value, and determines the driver's drowsy state based on input errors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If warning is issued after eye closure or lane departure detection, then drowsy driving can be detected, but the prevention effect is insufficient because warning occurs too late
Solution Approach 1:
The system performs preliminary actions by detecting early signs of drowsiness (eye closure, lane departure) and issuing warnings before the driver actually loses control. The controller continuously monitors driver state and vehicle position, and when drowsiness is detected, it issues warnings (audible, visual, haptic) to prevent further deterioration into dangerous drowsy driving conditions.
Solution Approach 2:
The system applies preliminary anti-action by taking countermeasures (warnings, steering interventions, braking) to offset the harmful effects of drowsiness before they can cause accidents. The controller actively counteracts the driver's drowsy state through multiple warning signals and, if necessary, automated steering and braking interventions to maintain safe vehicle operation.
2Reliability
If multiple warning methods and control measures are implemented, then drowsy driving prevention effectiveness is improved, but device complexity increases
Solution Approach 1:
The controller serves multiple functions: it detects driver drowsiness through camera and sensor data, determines vehicle lane position, issues various types of warnings (audible, visual, haptic), and performs automated steering and braking interventions. This multi-functional approach consolidates multiple subsystems into a single control unit, reducing overall system complexity while maintaining comprehensive drowsy driving prevention capabilities.
Solution Approach 2:
The system merges detection functions (eye tracking, lane detection), warning functions (multiple alert types), and control functions (steering, braking) into an integrated drowsy driving prevention system. By combining these previously separate functions into a unified controller that processes data from various sensors and executes multiple response types, the system achieves high reliability without proportionally increasing complexity.
Data Source
AI summary
Disclosed are an apparatus, a system and a method for managing drowsy driving. The apparatus for managing drowsy driving includes a communication device that transmits vehicle information to a server and receives a drowsiness probability of a driver from the server, and a controller that generates a command when the drowsiness probability of the driver exceeds a reference value and determines whether the driver is in a drowsy state based on input information of the driver responding to the command.