Vehicle Speed Limit Update via Image Detection
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Solution Overview
Problem
Advanced Driver Assistance Systems (ADAS) in vehicles often provide outdated or inaccurate road information due to changing road conditions, leading to driver confusion.
Innovation Solution
A vehicle system equipped with a photographing device and a main controller that acquires image information, detects speed limit changes, and updates displayed speed limits based on differences between detected and pre-stored information, using position, yaw rate, steering angle, and acceleration sensors to determine if the vehicle has left its current road.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If pre-stored speed limit information from map database is used, then the system has simple operation and low complexity, but the information becomes outdated and inaccurate when road conditions change
Solution Approach 1:
The system performs preliminary actions by capturing images of speed limit signs in advance and storing them in an image database along with geographic coordinates. This allows the system to have pre-prepared speed limit information available for comparison with real-time detected information, ensuring accuracy without requiring complex real-time processing infrastructure.
Solution Approach 2:
The system implements feedback by continuously comparing detected speed limit information from current images with pre-stored information from the map database and image database. When discrepancies are found, the system uses feedback loops to update the displayed speed limit information and refresh the image database, ensuring ongoing accuracy while maintaining systematic operation.
2Measurement precision
If the system continuously updates speed limit information based on image detection, then the information accuracy improves, but the processing time and computational load increase
Solution Approach 1:
The system performs preliminary image capture and speed limit detection during normal driving conditions, storing results in advance in an image database. This preliminary action allows the system to have processed information ready before it is needed, reducing real-time processing requirements and minimizing time loss when speed limit information must be updated or verified.
3Reliability
If the system uses multiple sensors (position, yaw rate, steering angle, acceleration) to determine road changes, then the reliability of speed limit information improves, but the device complexity increases
Solution Approach 1:
The system applies multi-functionality by using a single image information acquiring apparatus to perform multiple functions: capturing speed limit signs, detecting road geometry changes, and verifying speed limit information accuracy. This universal approach allows the system to maintain high reliability through multiple verification methods without proportionally increasing device complexity, as one component serves multiple purposes.
Data Source
AI summary
A vehicle includes: a display; a photographing device configured to acquire image information of a road on which the vehicle currently travels; and a main controller configured to: i) detect first speed limit information based on the acquired image information, ii) calculate a difference between the first speed limit information and pre-stored second speed limit information corresponding to the road on which the vehicle currently travels, and iii) determine speed limit information that is to be displayed on the display based on at least one of whether the calculated difference exceeds a predetermined level and whether the vehicle is no longer traveling on the road.