Vehicle Alarm Shielding Boundary Estimation for False Alert Suppression
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Solution Overview
Problem
Conventional Rear Cross Traffic Alert (RCTA) systems issue unnecessary notifications due to misidentification of shielding objects, leading to inaccurate determination of shielding boundaries, especially when multiple static objects are detected with gaps between them.
Innovation Solution
An alarm device with a radar module that uses robust estimation to calculate an approximate straight line as a shielding boundary, suppressing notifications for objects on the opposite side of the shielding boundary, and employing average weights for reflection points to improve the accuracy of shielding object detection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a plurality of static objects are detected and a shielding object is determined to exist between them, then the alarm device can identify potential shielding objects, but it incorrectly determines that a shielding object exists between static objects that are actually separated by gaps, leading to false positive notifications
Solution Approach 1:
The patent applies robust estimation to calculate an approximate straight line from reflection point positions, transforming the discrete reflection point data into a continuous boundary representation. This parameter transformation allows the system to distinguish between actual shielding objects and gaps by evaluating the geometric consistency of reflection points relative to the estimated boundary, thereby resolving the contradiction between detection reliability and boundary precision
Solution Approach 2:
The patent introduces an approximate straight line as an intermediary element between the detected reflection points and the shielding object determination. This intermediate representation serves as a reference boundary that mediates the judgment of whether reflection points belong to a shielding object or represent gaps, enabling more accurate discrimination between true shielding objects and false positives
2Object-affected harmful factors
If the alarm device issues notifications based on detected objects behind shielding objects, then it can alert drivers to potential hazards, but it issues unnecessary notifications when objects are on the opposite side of shielding boundaries where no actual contact risk exists
Solution Approach 1:
The patent segments the rear detection area into multiple regions divided by shielding boundaries (approximate straight lines). By segmenting the space based on the geometric relationship between reflection points and the estimated boundary, the system can determine which objects are truly behind shielding objects versus those in gaps, thereby eliminating unnecessary notifications while maintaining safety alerts for actual hazards
Solution Approach 2:
The patent uses the position information of reflection points to continuously refine the approximate straight line calculation through robust estimation. This feedback mechanism allows the system to adaptively adjust the shielding boundary based on detected objects, improving the accuracy of notification decisions by continuously learning from the spatial distribution of reflection points and reducing false positive alerts
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
Enhances the accuracy of shielding object detection and reduces unnecessary notifications by correctly identifying shielding regions and preventing misclassification of gaps between objects as shielding boundaries.
Implementation Method 1
a radar module whose search areas are on the right-rear side and the left-rear side of a host vehicle
Data Source
AI summary
The alarm device includes an acquisition part, an alarm judging part, a notification part, a static extraction part, a shielding boundary setting part, and a suppression part. The acquisition part acquires reflection point information and object information. The alarm judging part determines whether the object is an alarm candidate for each of the objects. The notification part issues a notification regarding the alarm candidates. The static extraction part extracts static reflection points. The shielding boundary setting part sets an approximate straight line as a shielding boundary by robust estimation. The suppression part suppresses notification of alarm candidates that are on the opposite side of the shielding boundary.