Vehicle Radar Misalignment Detection via Doppler Velocity Analysis
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Solution Overview
Problem
Current vehicle radar systems face challenges in accurately detecting misalignment, especially for larger angles, which can lead to false alarms and unsafe actions such as automatic braking or steering, as existing software correction methods fail to address significant misalignment effectively.
Innovation Solution
A vehicle radar system with a processing unit that classifies detected objects as moving or stationary based on Doppler velocity and calculates a percentage fraction of stationary detections to determine misalignment, comparing this fraction to a threshold value to identify and correct for misalignment errors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If software correction methods are used for misalignment detection, then small misalignment angles can be detected and corrected, but larger misalignment angles cannot be effectively addressed leading to false alarms
Solution Approach 1:
The patent changes the detection parameter from relying solely on angle measurements to using Doppler velocity characteristics. By analyzing the Doppler velocity of detected objects and comparing it with expected values based on vehicle motion, the system can identify misalignment regardless of the misalignment angle size, thus resolving the contradiction between detecting small and large misalignment angles while maintaining reliability
Solution Approach 2:
The patent introduces Doppler velocity as an intermediary parameter to detect misalignment. Instead of directly measuring misalignment angle, the system uses Doppler velocity of detected objects as a mediator to infer misalignment, which allows effective detection across all misalignment ranges without causing false alarms
2Manufacturing precision
If radar sensor mounting precision is increased, then misalignment angle is reduced, but manufacturing cost and complexity increase
Solution Approach 1:
The patent implements a self-diagnosis system where the radar detector automatically monitors its own alignment status by analyzing Doppler velocity of detected objects. This self-service approach eliminates the need for complex external mounting precision control systems, reducing device complexity while maintaining accurate misalignment detection
Solution Approach 2:
The system continuously monitors Doppler velocity and provides feedback about misalignment status. This feedback mechanism allows the system to automatically adapt to mounting variations without requiring high initial mounting precision or complex adjustment mechanisms, thereby reducing both manufacturing precision requirements and device complexity
3Reliability
If misalignment detection is performed continuously, then detection reliability is improved, but processing time and computational load increase
Solution Approach 1:
The patent implements periodic misalignment detection by evaluating Doppler velocity characteristics at regular intervals rather than continuously processing every detection. This periodic approach maintains reliable misalignment detection while significantly reducing processing time and computational load compared to continuous analysis
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
The solution provides a quick, reliable, and uncomplicated method for detecting misalignment, ensuring accurate classification of stationary objects and preventing false alarms, thereby enhancing safety by deactivating critical functions when misalignment is detected.
Implementation Method 1
a radar device may be mounted on a motor vehicle in order to detect reflections from objects
Implementation Method 2
obtain values for detected target angle and detected target Doppler velocity
Data Source
AI summary
A vehicle radar system (2) that is arranged to detect a plurality of objects outside a vehicle (1) and that includes a radar detector (3) and a processing unit arrangement (4). The processing unit arrangement (4) is arranged to obtain at least one total detection angle (φdT, φdT′) relative an x-axis (7) and at least one corresponding detected target Doppler velocity (vDoppler) relative the radar detector (3) for each detected object (5, 6; 10, 11). Each detected object is classified as moving or stationary, and a relation is determined between the stationary detections and the total number of detections. The processing unit arrangement (4) further is adapted to determine whether the radar detector (3) is misaligned based on the relation, where the total detection angle (φdT, φdT′) equals the sum of a known mounting angle (φm) between the x-axis (7) and the radar detector's mounting direction (8), and a detection angle (φd, φd′). The present disclosure also relates to a corresponding method.