Vehicle Traffic Sign Conversion for Cross-Region Driving Control
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Solution Overview
Problem
Existing vehicle control systems, such as Intelligent Speed Limit Assist (ISLA), are limited in their ability to recognize and respond to various traffic signs, making it difficult for drivers to comply with traffic sign instructions, especially in unfamiliar areas or foreign countries, leading to potential violations and fines.
Innovation Solution
A vehicle control method and system that determines the vehicle's operating and current driving regions, recognizes traffic signs, and performs variable control such as lane changes, acceleration, deceleration, and stopping based on sign information, providing notification and conversion to local sign formats.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If traffic sign information is displayed on the vehicle's navigation system, then drivers are provided with traffic sign information, but drivers still need to visually check traffic signs on the road and may have difficulty recognizing and following instructions
Solution Approach 1:
The system uses an intermediary processing layer that recognizes traffic signs from road images, converts them to standardized formats, and presents them to drivers through multiple channels (display, voice, haptic feedback). This intermediary system bridges the gap between raw traffic signs and driver understanding, especially for novice drivers or those in unfamiliar areas.
Solution Approach 2:
The system replaces the mechanical/visual checking process with automated image recognition and processing. Instead of relying on drivers to visually locate, interpret, and remember traffic signs, the system captures images, processes them through AI recognition, and delivers the information electronically, reducing the cognitive and visual burden on drivers.
2Measurement precision
If drivers visually check traffic signs on the road, then drivers can recognize traffic signs, but novice drivers or experienced drivers on unfamiliar roads may have difficulty checking traffic signs and following instructions while driving
Solution Approach 1:
The system performs self-service by automatically capturing images of traffic signs, processing them through recognition algorithms, and delivering the interpreted information to drivers. This eliminates the need for drivers to manually search for, interpret, and remember traffic signs, significantly reducing their workload while maintaining high recognition accuracy through specialized image processing.
Solution Approach 2:
The system provides immediate feedback to drivers about recognized traffic signs through multiple channels (display screens, voice announcements, haptic feedback). This real-time feedback loop ensures drivers receive accurate traffic sign information without the cognitive burden of interpretation, allowing them to focus on safe vehicle operation while the system handles sign recognition and communication.
3Adaptability or versatility
If a system recognizes and converts traffic signs to local formats, then drivers in foreign countries can comply with traffic sign instructions, but the system must determine operating region and current driving region and handle region-specific sign variations
Solution Approach 1:
The system performs preliminary actions by determining the vehicle's operating region and current driving region in advance, and by pre-loading or pre-processing traffic sign data for different regions. This allows the system to be prepared for region-specific sign variations before they are encountered, enabling smooth transitions and accurate recognition without adding complexity during real-time operation.
Solution Approach 2:
The system changes parameters such as the expected sign formats, color codes, and symbolic representations based on the detected region. When transitioning from one country to another, the system adjusts its recognition parameters and conversion rules to match local traffic sign standards, enabling accurate interpretation and driver notification without requiring a complete system redesign for each region.
Data Source
AI summary
A method and system for controlling a vehicle based on traffic sign information includes determining an operating region and a current driving region of a vehicle, determining, based on a result of the determining of the operating region and the current driving region being different from each other and a traffic sign being recognized in front of the vehicle, whether a traffic sign corresponding to the recognized traffic sign is present among traffic signs applicable to the operating region, and visualizing, based on the traffic sign corresponding to the recognized traffic sign being present among the traffic signs applicable to the operating region, the recognized traffic sign into the corresponding traffic sign through conversion.