Driver Attention-Based Collision Avoidance Timing in Vehicle Control
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Solution Overview
Problem
Existing vehicle control systems fail to adapt their operations based on the driver's attention level, leading to ineffective adaptive control and alert messaging.
Innovation Solution
A signal processing device that calculates a driver's forward attention level using internal and external camera images, adjusts collision avoidance timing and alert messaging based on this level, and executes adaptive vehicle control through microservices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If collision avoidance control is performed regardless of driver state, then collision avoidance can be achieved, but adaptive control corresponding to driver state cannot be performed
Solution Approach 1:
The system continuously monitors driver state through cameras and sensors, detecting attention level, drowsiness, and distraction. This feedback loop enables the control unit to adapt collision avoidance timing based on real-time driver condition, resolving the contradiction between maintaining reliable collision avoidance and achieving adaptive control.
Solution Approach 2:
The control system dynamically adjusts the timing and parameters of collision avoidance operations based on varying driver states. When driver attention is low or drowsiness is detected, the system modifies control timing to ensure safety while adapting to the changing operational conditions, thus achieving both reliability and adaptability.
2Device complexity
If control timing is fixed, then simple control implementation is achieved, but optimal safety cannot be ensured under varying driver conditions
Solution Approach 1:
The system changes control parameters such as timing, force, and activation thresholds based on detected driver state parameters. The control unit adjusts these parameters dynamically to optimize safety outcomes while managing system complexity through parameter-based adaptation rather than structural complexity.
3Device complexity
If alert messages are output at fixed timing, then simple alert system is maintained, but effective communication with distracted or drowsy drivers cannot be achieved
Solution Approach 1:
The system performs preliminary assessment of driver state before issuing alert messages. By detecting attention level and drowsiness in advance, the system can proactively adjust alert timing and content to ensure effective communication, preventing the need for complex reactive adjustments later.
Data Source
AI summary
A signal processing device and a vehicle control device including the same according to an embodiment of the present disclosure includes a processor configured to receive a vehicle internal image from an internal camera, wherein the processor is configured to calculate a forward attention level of a driver based on the vehicle internal image, calculate a time to forward collision or a time to avoid forward collision with an object in front of a vehicle, and change a control time point of forward collision avoidance based on the forward attention level and the time to forward collision or the time to avoid forward collision. Accordingly, adaptive vehicle control may be performed according to the forward attention level of the driver.