Vehicle Road Surface Recognition for Real-Time Slip Risk Control
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Solution Overview
Problem
Existing technologies face challenges in accurately predicting and sharing real-time road surface conditions, particularly in extreme weather conditions, which can lead to increased risks of vehicle accidents due to reduced slip resistance and driver negligence.
Innovation Solution
A control system using road surface recognition that includes a vehicle-attached device transmitting real-time road surface information to a central management server, which determines the road surface condition and shares it with the vehicle, allowing for driver alerts and autonomous driving control.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If road surface condition is predicted using air temperature and weather forecasts, then drivers can prepare for driving safety, but the prediction accuracy deteriorates in extreme weather conditions and areas with significant temperature differences between air and road surface
Solution Approach 1:
The patent replaces traditional air temperature-based prediction methods with a camera-based visual recognition system. The camera captures road surface images, and image processing algorithms analyze the visual characteristics to determine actual road surface conditions, directly substituting the indirect temperature-based prediction with direct visual detection.
Solution Approach 2:
The patent introduces a camera as an intermediary device between the driver and road surface condition information. Instead of relying on air temperature data that may not reflect actual road conditions, the camera serves as a mediator to directly observe and transmit accurate road surface state information to the driver.
2Ease of operation
If drivers rely on vehicle navigators in unfamiliar areas, then navigation is improved, but driver concentration on safety signs and road conditions deteriorates
Solution Approach 1:
The system provides self-service by automatically capturing and analyzing road surface conditions through the vehicle's camera, eliminating the need for drivers to manually check safety signs or concentrate on road conditions. The system serves itself by using the vehicle's existing camera hardware and autonomously processing images to provide safety information.
Solution Approach 2:
The system implements feedback by continuously monitoring road surface conditions through image capture and providing real-time information to the driver. This creates a closed-loop system where the driver receives ongoing updates about road conditions without needing to divert attention from the road or navigation.
3Loss of information
If sensors are installed to measure road conditions, then road condition data can be provided to drivers, but the coverage is limited to selective dangerous sections and cannot be installed in all areas
Solution Approach 1:
The patent inverts the traditional approach by moving the detection device from the road infrastructure to the vehicle. Instead of installing sensors on the road to detect conditions and transmit to vehicles, the system places cameras on vehicles to directly capture and detect road surface conditions, thereby expanding coverage to all areas where vehicles operate.
Solution Approach 2:
The system achieves universality by utilizing the vehicle's existing camera hardware for multiple purposes - both for navigation and for road surface condition detection. This multi-functional approach eliminates the need for separate dedicated sensors and enables widespread deployment without additional infrastructure installation.
4Speed
If single vehicle camera is used for road surface recognition, then real-time detection is achieved, but recognition accuracy deteriorates due to camera conditions and irradiation angles
Solution Approach 1:
The patent merges data from multiple vehicles' cameras to improve recognition accuracy. By combining images and analysis results from multiple sources, the system overcomes the limitations of individual camera angles, lighting conditions, and potential errors, achieving more reliable road surface condition determination while maintaining real-time detection capability.
Data Source
AI summary
A control system using road surface recognition of a driving vehicle according to an embodiment includes a vehicle-attached device transmitting, to a central management server, road surface information including the real-time location information and road surface image information of a driving vehicle, and the central management server determining a road surface condition in real time based on the road surface information received from the vehicle-attached device and transmitting road surface condition information to the vehicle-attached device. Accordingly, the vehicle-attached device attached to the driving vehicle may transmit the road surface information including the real-time location information and the road surface image information to the central management server, and the central management server may thus accurately determine the road surface condition by using the multiple road surface information provided in real time.