Ultrasonic Road Condition Detection via Bottom Echo Analysis
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Solution Overview
Problem
Current methods for identifying road conditions, such as visual camera systems, are limited in accurately determining surface structure and condition, especially under varying weather conditions and interference from ambient noises.
Innovation Solution
The method utilizes ultrasonic and radar sensors to detect noise levels and bottom echoes, analyzing changes in noise profiles and echo profiles to determine road conditions, integrating data from both sensors to improve accuracy and robustness against interferences.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If visual camera systems are used to detect road conditions, then the system can provide visual information about the road surface, but the accuracy of determining surface structure and condition deteriorates under varying weather conditions and ambient noise interference
Solution Approach 1:
The patent introduces ultrasonic sensors as an intermediary detection mechanism that operates independently of visual systems. These sensors emit ultrasonic waves that interact with the road surface, providing tactile-like information about surface structure and condition. This intermediary approach bypasses the limitations of visual camera systems when subjected to ambient noise and varying weather conditions, as ultrasonic detection is less susceptible to these environmental factors.
Solution Approach 2:
The patent combines multiple detection methods (visual camera systems and ultrasonic sensors) into an integrated road condition detection system. By merging data from both visual and ultrasonic sources, the system achieves more accurate and reliable road condition assessment than either method could provide alone. The ultrasonic component specifically addresses the weaknesses of visual systems under adverse conditions.
2Measurement precision
If ultrasonic sensors are used to detect road conditions, then the system can identify surface structure through bottom echo, but the detection becomes susceptible to interference from ambient noises
Solution Approach 1:
The patent extracts and isolates the bottom echo signal from the ultrasonic sensor output, separating it from ambient noise components. By focusing specifically on the echo returned from the road surface and applying signal processing techniques, the system extracts meaningful surface structure information while filtering out interfering ambient noises. This extraction process enables accurate surface structure detection despite the presence of noise.
Solution Approach 2:
The system employs feedback mechanisms where the detected noise levels are continuously monitored and used to adjust the detection and signal processing parameters. By feeding back information about ambient noise conditions, the system can adaptively filter interference and maintain accurate surface structure detection. The feedback loop enables real-time optimization of the detection algorithm based on current acoustic environmental conditions.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach provides a robust and precise identification of road conditions, effectively distinguishing between surface structure and weather-related changes, even at high vehicle speeds, and reduces the impact of ambient noises, leading to more reliable detection of road conditions and weather conditions.
Implementation Method 1
A bottom echo reflects the surface structure of the road as long as it is not hidden by the surface condition. The bottom echo is made up of multiple superimposed reflections of an actively emitted signal.
Implementation Method 2
a piece of road condition information representing the road condition is determined using a noise level detected by at least one ultrasonic sensor of a vehicle
Data Source
AI summary
A method for identifying a road condition of a road. A piece of road condition information representing the road condition is determined using a noise level detected by at least one ultrasonic sensor of a vehicle and a bottom echo detected from a road surface in the area of the vehicle.