Ultrasonic Object Height Estimation Using Multi-Sensor Noise Reduction
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Solution Overview
Problem
Ultrasonic sensors provide inadequate height estimation of objects due to noise, leading to high deviations in measurement results.
Innovation Solution
A method that calculates the squared height of an object using multiple ultrasonic measurements, combining them to reduce noise impact, and applies statistical analysis to determine a reliable height estimation through normal distribution and variance calculations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple ultrasonic sensors are arranged in an array to improve height estimation accuracy, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The system divides the measurement task into multiple independent sensor channels, each measuring distance to a different horizontal position. By segmenting the measurement across multiple sensors arranged in an array, the system achieves more accurate height estimation through multiple measurement points while keeping each individual sensor simple and manageable.
Solution Approach 2:
The ultrasonic sensor array serves multiple functions: it measures distance at multiple horizontal positions simultaneously, determines object height, and can potentially detect object width and position. This multi-functionality allows the system to achieve high measurement precision without proportionally increasing device complexity, as the same sensor type performs multiple measurement tasks.
2Ease of operation
If ultrasonic sensors are used to measure distance for height estimation, then non-contact measurement is achieved, but measurement precision deteriorates due to surface characteristics and environmental factors
Solution Approach 1:
The system combines measurements from multiple ultrasonic sensors positioned at different horizontal locations to compensate for individual measurement errors. By merging multiple distance measurements and processing them together through height calculation algorithms, the system achieves more reliable and precise height estimation despite the limitations of individual ultrasonic measurements.
Solution Approach 2:
The system uses the combined information from multiple sensor measurements to calculate object height, creating a feedback mechanism where the collective data from all sensors is processed to refine the height estimation. This feedback approach allows the system to compensate for environmental factors and surface characteristics that affect individual sensor readings.
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
The method achieves a reliable and accurate estimation of object height by minimizing the effect of noise, resulting in a distribution of height information that closely resembles a normal distribution.
Implementation Method 1
distance information measured by ultrasonic sensor
Data Source
Figure 1~2
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AI summary
The invention relates to a method for estimating the height of an object (3) by means of at least one ultrasonic sensor (2) of a vehicle (1).