HUD Attention Depth Calculation for Driver Engagement
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Solution Overview
Problem
In vehicles equipped with automatic driving systems, drivers may not adequately attend to the road due to the system's operation, as existing conversation devices focus on driver preferences rather than attention to driving tasks.
Innovation Solution
An information display device that recognizes attention objects and traveling states using sensors, calculates attention depth, and generates display information to highlight critical objects, encouraging driver attention through a head-up display.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If conversation devices determine conversation content based on driver's preference (e.g., music), then driver satisfaction is improved, but driver attention to driving task deteriorates
Solution Approach 1:
The system dynamically adjusts conversation content based on the driver's current state (detected via camera analysis of facial expressions and eye movements). When the driver is detected to be paying insufficient attention, the system automatically shifts from preference-based conversation to attention-promoting conversation, making the system adaptive to real-time conditions rather than static.
Solution Approach 2:
The system implements a feedback loop where the driver's attention level is continuously monitored through camera-based detection, and this feedback is used to adjust the conversation strategy. The system detects attention metrics, evaluates whether attention is sufficient, and modifies conversation content accordingly, creating a closed-loop control system that balances driver satisfaction with safety.
2Productivity
If automatic driving system operates without driver intervention, then driving efficiency is improved, but driver engagement deteriorates
Solution Approach 1:
The system performs preliminary detection of the driver's attention state before critical situations arise. By continuously monitoring facial expressions and eye movements in advance, the system can proactively adjust conversation content to maintain engagement, rather than reacting only when attention drops to critical levels.
Solution Approach 2:
The conversation device serves as an intermediary between the automatic driving system and the driver. It translates the driver's attention state into appropriate conversation strategies, mediating the interaction to maintain engagement without requiring direct driver intervention in the driving task itself.
Data Source
AI summary
An information display device includes an attention object recognition unit that recognizes a plurality of attention objects, a traveling state recognition unit that recognizes a vehicle speed of a vehicle, a HUD that displays attention display, an attention depth calculation unit that calculates TTC and calculates attention depths for the attention objects on the basis of the TTC, a display information generation unit that determines a first attention object having the largest attention depth among the plurality of attention objects and generates first display information regarding first attention display for highlighting the first attention object and second display information regarding second attention display which is a line surrounding the first attention object and second attention objects other than the first attention object among the plurality of attention objects, and a display control unit that displays the first attention display and the second attention display on the HUD.