Ultrasonic Sensor Object Classification via Multi-Position Distance
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Solution Overview
Problem
Existing object classification methods for motor vehicles using sensor devices, such as ultrasonic sensors, are inadequate for reliably determining the exact position of objects relative to the vehicle, as they rely on single measurements which are insufficient for accurate classification.
Innovation Solution
A method utilizing multiple distance values from different sensor positions to distinguish between punctiform and extended objects, with a criterion-based evaluation to filter out implausible data and determine object type, including the use of three distance values to precisely classify objects as punctiform, extended, or with high spatial uncertainty.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If single measurement methods are used for object classification, then the device complexity is reduced, but the measurement precision and reliability of object classification deteriorate
Solution Approach 1:
The patent applies segmentation by dividing the object classification process into multiple measurement steps. Instead of relying on a single measurement, the system performs multiple distance measurements from different sensor positions and evaluates them sequentially to determine whether an object is punctiform or extended, thereby improving classification precision without requiring a completely complex new device architecture
Solution Approach 2:
The patent transitions from single-dimension (single measurement point) to multi-dimension (multiple sensor positions) measurements. By taking distance measurements from at least two different sensor positions and combining this spatial information with distance values, the system achieves more reliable object classification while maintaining reasonable device complexity through systematic evaluation
2Reliability
If multiple distance values from different sensor positions are used, then the reliability of object classification is improved, but the device complexity and measurement time increase
Solution Approach 1:
The patent applies preliminary action by performing multiple distance measurements in advance from different sensor positions before making the final classification decision. The system evaluates distance values from at least two sensor positions and uses criterion-based filtering to eliminate implausible measurements, ensuring reliable classification while managing device complexity through systematic preliminary evaluation
Solution Approach 2:
The system uses feedback by evaluating multiple distance measurements and using the results to refine the classification decision. The criterion-based evaluation process compares measurements against predefined criteria and adjusts the classification outcome based on the consistency and plausibility of multiple measurements, thereby improving reliability while controlling complexity
3Measurement precision
If multiple distance values are evaluated, then the accuracy of object position determination is improved, but the loss of time for processing increases
Solution Approach 1:
The patent applies partial action by evaluating only the necessary number of distance measurements required to achieve reliable classification. Instead of continuously taking measurements, the system performs a defined number of measurements from different sensor positions and stops when sufficient information is obtained, balancing position determination accuracy with processing time efficiency
Solution Approach 2:
The system performs preliminary evaluations of distance measurements against predefined criteria before final classification. By filtering out implausible measurements in advance using criterion-based evaluation, the system reduces the need for extensive processing of all possible measurements, thereby improving position accuracy while minimizing time loss
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 enhances the accuracy and reliability of object classification, allowing for precise determination of object position and type, reducing false hypotheses and spatial uncertainty, and enabling the differentiation between punctiform and extended objects.
Implementation Method 1
A transmission signal is emitted by an ultrasonic sensor, and a portion of the signal reflected in the environment is received back by the ultrasonic sensor. Based on the pulse length of the received target echo, conclusions can then be drawn about the nature of the object.
Data Source
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AI summary
The invention relates to a method for classifying an object located in the vicinity of a motor vehicle (1) by means of a sensor device of the motor vehicle (1), wherein distance values (R) to the object to be classified are detected by the sensor device from at least two different sensor positions (P1, P2) and the classification is carried out depending on the at least two distance values (R) in such a way that the object is distinguished at least between a point-like object and an extended object.