Vehicle Object Detection Spatial Deviation Noise Filtering
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current methods for detecting objects around a motor vehicle using distance sensors suffer from high latency and inability to distinguish between real objects and interference signals, leading to inconsistent measurement points and potential errors in object detection.
Innovation Solution
A method employing a control device that evaluates measurement points from multiple distance sensors by determining spatial deviations and scatter, assigning points to specific sensors, and using a noise indicator to differentiate between object-related and noise signals, thereby improving the reliability of object detection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If measurement points are confirmed in several consecutive measuring sequences, then reliability of object detection is improved, but latency time increases and productivity decreases
Solution Approach 1:
The patent changes the evaluation parameter from simple presence/absence of measurement points to spatial deviation analysis. By calculating whether measurement points deviate from a reference position by more than a threshold value, the system can quickly identify and filter noise signals without requiring multiple confirmation sequences, thus reducing latency while maintaining detection reliability
Solution Approach 2:
The patent replaces the temporal confirmation mechanism (waiting for multiple measuring sequences) with a spatial analysis mechanism (comparing measurement point positions). This substitution allows immediate differentiation between real objects and noise based on spatial consistency, eliminating the time delay inherent in sequential confirmation approaches
2Reliability
If measurement points are confirmed in several consecutive measuring sequences, then reliability of object detection is improved, but the system cannot distinguish between real objects and interference signals
Solution Approach 1:
The patent applies local quality analysis by examining the spatial characteristics of individual measurement points rather than treating all measurements uniformly. By checking whether each measurement point's position deviates from the reference by more than a threshold value, the system can locally identify and exclude noise signals while confirming real objects, preserving signal differentiation capability
Solution Approach 2:
The patent introduces a reference position as an intermediary for comparison. This reference serves as a mediator between raw measurement data and object identification, allowing the system to objectively distinguish real objects from noise based on spatial deviation from the reference, thereby maintaining differentiation capability
3Measurement precision
If spatial deviation verification is performed on measurement points, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The patent segments the object detection process into distinct evaluation steps: determining measurement points, comparing positions with reference, checking threshold deviations, and selectively confirming points. This segmentation allows the control device to implement precision verification through a structured, modular approach that manages complexity by breaking down the verification process into manageable operations
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 reduces latency and enhances the accuracy of object detection by reliably confirming measurement points and filtering out noise, ensuring precise determination of the relative position between the vehicle and objects, even in the presence of external influences like dirt or weather conditions.
Implementation Method 1
a transmission signal is sent out with the distance sensors, which is reflected by the object. The reflected transmission signal or echo signal can then be detected again by the distance sensor. The distance can be determined on the basis of the transit time between the transmission of the transmission signal and the reception of the echo signal
Data Source
Figure 1
Figure 2~4
Figure 5~6
AI summary
The invention relates to a method for detecting an object in a surrounding region (7) of a motor vehicle (1), wherein a plurality of measuring sequences are carried out, wherein in each measuring sequence at least one measurement point (8, 9) is determined by a control device (3) based on the sensor signals from at least two distance sensors (4), said measurement point describing a relative position between the motor vehicle (1) and the object, wherein it is checked by the control device (3) whether the measurement points (8, 9) determined during at least two of the measuring sequences have a predetermined spatial deviation to one another, wherein a distribution (s) of the measurement points (8, 9) is determined in the event that the measurement points (8, 9) have said predetermined spatial deviation to one another.