In-Vehicle Abnormal Road Condition Detection and Cloud Patterned Icon Transmission
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Solution Overview
Problem
Existing vehicle systems struggle to accurately identify and depict abnormal road conditions such as obstacles and depressions, limiting the types of depicted situations and often leading to inaccurate notifications to occupants.
Innovation Solution
An information processing system that includes an in-vehicle device and a cloud server to detect and pattern abnormal road conditions, transmitting accurate positional and image information to following vehicles, allowing for precise depiction of these conditions on the vehicle's display.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a vehicle system uses limited depiction icons to represent abnormal portions, then the device complexity is reduced, but the measurement precision of abnormal content identification deteriorates
Solution Approach 1:
The patent uses icon images that copy or represent the visual characteristics of actual abnormal portions. The icon generation unit creates simplified visual representations (icons) that capture the essential features of detected abnormalities, allowing following vehicles to understand the nature of the abnormal portion without transmitting complex raw image data, thus reducing system complexity while maintaining identification accuracy.
Solution Approach 2:
The system changes the parameter of representation from detailed raw images to simplified icon images with specific visual characteristics. By transforming the abnormal portion data into icon images with varying visual parameters (such as shape, color, size) that correspond to different types of abnormalities, the system achieves accurate abnormal content identification while keeping the device complexity low.
2Measurement precision
If a vehicle system transmits detailed image information of abnormal portions, then the measurement precision of abnormal content notification is improved, but the loss of information in communication increases
Solution Approach 1:
Instead of transmitting the complete detailed image data of abnormal portions, the system transmits icon images that are simplified copies containing only the essential visual information needed for identification. This copying approach maintains the accuracy of abnormal content notification while significantly reducing the amount of data that needs to be transmitted, thereby improving data transmission efficiency.
Solution Approach 2:
The system extracts only the essential visual features from the complete image data of abnormal portions to create icon images. By taking out and transmitting only the critical identification information rather than the full image data, the system achieves accurate abnormal content notification while minimizing information loss during communication.
3Adaptability or versatility
If a vehicle system uses multiple depiction patterns for abnormal portions, then the adaptability of the notification system is improved, but the device complexity increases
Solution Approach 1:
The system achieves multiple depiction patterns by varying the parameters of icon images (such as shape, color, size, or other visual characteristics) rather than using completely different icon sets. This approach allows the notification system to be adaptable to different types of abnormalities while maintaining a unified icon generation mechanism, thus improving versatility without significantly increasing system complexity.
Data Source
AI summary
The cloud server includes a reception unit that receives position information of an abnormal portion and image information of an abnormal portion from a vehicle that has detected an abnormal portion during traveling, an image processing unit that patterns (for example, a road depression, a falling object tire, falling object wood, and the like) the image information received by the reception unit, and a transmission unit that transmits the abnormal pattern patterned by the image processing unit or the pattern information indicating the abnormal pattern to a following vehicle that has detected the abnormal portion corresponding to the abnormal pattern.