Radar Sensor False Positive Prediction via Ray Tracing Simulation
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Solution Overview
Problem
Radar sensors in vehicles often detect false positives due to multiple reflections of radar signals within the vehicle's interior, leading to costly and late-stage vehicle tests to assess and mitigate these issues, which are inefficient and limited in simulating various material and design variations.
Innovation Solution
A computer-implemented method predicts false positives by calculating primary and reflected rays based on geometrical data, estimating reflectivity, and determining energy and clustering levels to estimate the probability of false positives, allowing for early design-stage modifications without extensive testing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If vehicle tests are performed in late design stage to detect false positives, then the accuracy of detecting false positives is improved, but the cost and time consumption increase significantly
Solution Approach 1:
The patent performs false positive detection simulations during the early design stage using ray tracing methods, before physical vehicle tests are conducted. This preliminary computational analysis identifies potential false positive sources in the vehicle interior geometry and material properties, allowing designers to modify the design before expensive late-stage testing is required.
Solution Approach 2:
The patent creates a virtual computational model (copy) of the vehicle interior with its geometric data and material properties. This digital replica is used to simulate radar signal propagation and detect false positives without requiring physical prototypes or actual vehicle tests, thereby reducing time and cost while maintaining detection accuracy.
2Reliability
If hardware modifications are made in late design stage to counteract false positives, then the reliability of radar detection is improved, but the manufacturing cost increases
Solution Approach 1:
The simulation method identifies false positive risks during the early design stage, allowing hardware modifications (such as changing interior materials or geometric configurations) to be made when they are still cost-effective. By detecting issues before production tooling is finalized, expensive late-stage manufacturing changes are avoided.
Solution Approach 2:
The patent evaluates different material properties (conductivity, reflectivity) and geometric parameters of vehicle interior components through simulation. This allows optimization of these parameters during design to minimize false positives, rather than requiring costly hardware modifications after production has begun.
3Measurement precision
If comprehensive vehicle tests with various material variations are conducted, then the accuracy of false positive prediction is improved, but the test complexity and effort increase
Solution Approach 1:
The patent uses a computational model to simulate the effects of various materials and geometries on false positive generation. Instead of physically testing multiple material variations, the digital model allows rapid evaluation of different scenarios, achieving comprehensive analysis without the complexity of extensive physical testing.
Solution Approach 2:
The simulation method allows systematic variation of material parameters (conductivity, reflectivity) and geometric parameters in the computational model to assess their impact on false positives. This parametric analysis provides comprehensive prediction accuracy without requiring complex physical tests for each parameter combination.
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 method reduces the need for expensive late-stage vehicle tests, improves radar integration quality, and enhances functional safety by simulating and minimizing false positives in vehicle design.
Implementation Method 1
The radar sensor is configured to emit a radar signal in a desired field of view... the radar sensor is able to receive reflected signals from the environment
Implementation Method 2
a portion of the radar signal may be reflected by a painted bumper... the radar signal may partly leave the desired field of view and enter the interior of the vehicle. Within the interior of the vehicle, the radar signal being reflected by e.g. the bumper may be reflected again by parts or items located within the interior
Data Source
AI summary
A method for predicting a false positive detection by a radar sensor includes simulating a radar signal, determining a plurality of reflected radar signal rays based on the simulated radar signal and data regarding at least one vehicle component that may be a source of a false positive detection based on received reflected radar signal rays, selecting detectable rays from the reflected radar signal rays, determining an energy level for each detectable ray based on a reflectivity of the at least one vehicle component, clustering at least some of the detectable rays based on a distance between a reflection origin location of at least two of the detectable rays being within a predefined range, determining an energy level of clustered detectable rays, and determining a false positive based on the determined energy level of the clustered detectable rays being above an energy threshold.