Vehicle Radar Stationary Count Threshold for Nuisance Alert Reduction
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Solution Overview
Problem
Radar systems in vehicles often incorrectly detect stationary structures like tunnels and bridges due to their inability to determine elevation, leading to false target classification and undesirable reactions from safety systems.
Innovation Solution
A method that determines a stationary count of targets within the vehicle's travel path and sets a threshold to indicate proximity to a stationary structure, reducing nuisance alerts by distinguishing between in-path and out-of-path targets.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the radar system detects all stationary targets within its field of view, then the detection coverage is improved, but false targets from out-of-path structures (tunnels, bridges) cause nuisance alerts
Solution Approach 1:
The patent applies dimensionality change by utilizing the azimuth dimension to distinguish between in-path and out-of-path targets. By determining whether detected stationary targets fall within the vehicle's travel path azimuth range, the system can differentiate between relevant targets (potential threats) and irrelevant targets (tunnel walls, bridge structures), thereby reducing nuisance alerts while maintaining detection coverage.
2Reliability
If the radar system classifies all detected targets as potential threats, then the safety response is improved, but false stationary targets cause undesirable reactions
Solution Approach 1:
The patent applies local quality by implementing different classification criteria for targets based on their spatial location. Targets within the vehicle's travel path azimuth range are classified as potential threats and trigger safety responses, while targets outside this range (such as tunnel walls or bridge structures) are classified as false targets and do not trigger responses. This localized differentiation maintains safety responsiveness while eliminating false alarms.
3Measurement precision
If the radar system increases sensitivity to detect all targets, then the detection capability is improved, but the number of false stationary targets increases
Solution Approach 1:
The patent applies segmentation by dividing the detected target space into two distinct segments: in-path targets (within the vehicle's travel path azimuth range) and out-of-path targets (outside the travel path). This segmentation allows the system to maintain high detection sensitivity while filtering out false targets by applying different evaluation criteria to each segment, thus reducing the effective number of false stationary targets that trigger alerts.
Data Source
AI summary
A method for operating a radar system on a vehicle to reduce nuisance alerts caused by a stationary structure proximate to the vehicle. The method includes determining a stationary count indicative of the number of targets detected by the radar system that are within a travel path of the vehicle and are classified by the radar system as stationary, and indicating that the vehicle is proximate to a stationary structure if the stationary count is greater than a count threshold.