V2X Road Sign Recognition via Sensor Weighting
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Image recognition for road signs in vehicular applications is frequently inaccurate, leading to potentially fatal operating decisions by Advanced Driving Assistance Systems (ADAS) due to unreliable image recognition results.
Innovation Solution
A road sign system utilizing vehicle-to-anything (V2X) wireless communication and knowledge about sensor accuracy across different vehicle makes and models to accurately identify road signs, generating digital data that improves ADAS decision-making by comparing image recognition data from various vehicles and weighting it based on sensor reliability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If image recognition is used to determine road sign content, then the ADAS system can make operating decisions, but the accuracy is frequently inaccurate leading to potentially fatal errors
Solution Approach 1:
The patent combines image recognition data from multiple vehicles with different sensor characteristics to form a consensus determination of road sign content. By merging observations from diverse sources (different makes, models, and sensor qualities), the system achieves higher reliability and accuracy than any single vehicle's image recognition alone could provide.
Solution Approach 2:
The system introduces an intermediary layer between raw image recognition and ADAS decision-making. This intermediary process involves collecting data from multiple vehicles, applying weighting based on sensor quality, and determining consensus content before presenting to the ADAS system, thereby filtering out individual sensor errors.
2Reliability
If V2X communication is used to share road sign data among vehicles, then accuracy improves through collaborative verification, but system complexity increases
Solution Approach 1:
The system uses universal V2X communication protocols that allow multiple vehicles to exchange road sign observation data in a standardized format. This multi-functional communication infrastructure serves both information sharing and collaborative verification purposes, reducing the need for vehicle-specific custom solutions.
Solution Approach 2:
The system changes the parameter of data weighting based on sensor quality metrics. By dynamically adjusting the weight assigned to each vehicle's observation based on its sensor characteristics, the system manages complexity through a systematic parameter adjustment rather than requiring complex individual vehicle system designs.
3Measurement precision
If sensor data from multiple vehicles is collected and weighted, then road sign content determination accuracy improves, but data processing requirements increase
Solution Approach 1:
The system applies partial action by selectively processing data from multiple vehicles only when needed for consensus determination. Rather than continuously processing all available data, the system activates collaborative verification specifically for road sign recognition tasks where improved precision is critical, reducing overall energy consumption.
Data Source
AI summary
The disclosure includes embodiments for providing road sign recognition for connected vehicles. In some embodiments, a method includes determining that a first set of first vehicles have assessed by that a content for a road sign is a first value. In some embodiments, the method includes determining that the content for the road sign is a second value assessed by a second set of second vehicles based, at least in part, on the first vehicles having a same make and model.