Vehicle Notification Device Grouping Pedestrians by Behavior
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Solution Overview
Problem
In scenarios where multiple pedestrians are present near an autonomous vehicle, existing notification systems often confuse pedestrians by providing uniform information, leading to misunderstandings as each pedestrian may not be in the same position or acting similarly.
Innovation Solution
A notification device equipped with a recognition unit, notification unit, and controller that detects and groups pedestrians based on distance, speed, body orientation, and proceeding direction, generating and displaying personalized information to each pedestrian or group to prevent confusion.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If uniform information is notified to all pedestrians, then the notification system is simple, but pedestrians may be confused because the information does not match their individual actions and positions
Solution Approach 1:
The notification system segments pedestrians into different groups based on their position, action, and risk level relative to the vehicle. Each group receives customized notification information tailored to their specific situation, rather than uniform information for all pedestrians. This segmentation resolves the contradiction by maintaining system simplicity through automated grouping while delivering accurate, personalized information to each pedestrian group.
Solution Approach 2:
The system applies local quality by providing different notification information to different pedestrian groups based on their specific characteristics. Each group receives information locally optimized for their position and behavior, such as different warnings for pedestrians near the front versus back of the vehicle, or different notifications for those crossing versus those waiting. This ensures information accuracy for each pedestrian while maintaining overall system simplicity through automated differentiation.
2Loss of information
If personalized information is generated for each pedestrian, then information accuracy for each pedestrian is improved, but the notification system becomes complex
Solution Approach 1:
The system merges similar pedestrians into groups based on shared characteristics such as position relative to the vehicle, current action, and risk level. By combining multiple pedestrians into notification groups with similar profiles, the system reduces the complexity of generating entirely personalized information for each individual while still maintaining high information accuracy for each group. This merging approach balances customization needs with system complexity constraints.
Solution Approach 2:
The notification system employs universal templates and protocols for different pedestrian groups, where a single notification mechanism serves multiple pedestrian types. Each pedestrian group receives information following standardized formats and protocols appropriate to their category, allowing the system to maintain high information accuracy across diverse scenarios without requiring entirely custom solutions for each pedestrian. This multi-functionality reduces system complexity while preserving information quality.
3Productivity
If pedestrians are grouped by distance only, then notification efficiency is improved, but grouping accuracy decreases when pedestrians have different actions or directions
Solution Approach 1:
The system dynamically changes the parameters used for pedestrian grouping based on the situation. While distance from the vehicle is always considered, the system additionally incorporates parameters such as pedestrian action (crossing, waiting, standing), proceeding direction, and risk level. By adjusting which parameters are weighted for grouping based on contextual factors, the system maintains high notification efficiency while improving grouping accuracy to reflect both position and behavior of pedestrians.
Solution Approach 2:
The pedestrian grouping system is dynamic rather than static, continuously adjusting group compositions as pedestrians move and change behavior. Groups are formed and reformed in real-time based on current positions, actions, and directions of all pedestrians. This dynamic approach allows the system to maintain efficient notification processes while ensuring high grouping accuracy that reflects the ever-changing state of pedestrians around the vehicle.
Data Source
AI summary
A notification method for notifying an object of information using a notification device or a light source device provided in a vehicle includes recognizing a plurality of objects based on a result of detection performed by an external sensor, giving a priority for the recognized objects, selecting a notification target from the recognized objects based on the given priority, associating the notification target with a region of the notification device, and performing notification for the notification target using the associated region of the notification device.