Automotive Radar Height Estimation Using Elevation Spectrum Shape
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Solution Overview
Problem
Existing methods for determining the height of objects using automotive radar sensors are limited by low elevation resolution, reliance on accurate sensor mounting and pitch angle data, and loss of useful information, leading to inaccurate height estimation and obstacle detection.
Innovation Solution
A method that utilizes the shape of the elevation spectrum, rather than the peak position, to determine object height, incorporating machine learning algorithms to enhance accuracy and reliability, and is invariant to sensor mounting and pitch angle variations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If the standard peak-based method is used to determine object height from elevation spectrum, then the process is simple, but the measurement precision deteriorates due to low elevation resolution of automotive radar sensors
Solution Approach 1:
The patent changes the parameter used for height determination from peak position to spectrum shape characteristics. Instead of relying on the absolute peak position which is affected by low elevation resolution, the method uses shape parameters (width, symmetry, curvature) of the elevation spectrum that are less sensitive to resolution limitations and provide more accurate height estimation.
Solution Approach 2:
The patent replaces the simple peak-detection mechanism with a more sophisticated spectrum analysis approach. By substituting the direct peak-position reading with shape-based analysis, the system overcomes the mechanical limitation of low elevation resolution in automotive radar sensors.
2Ease of operation
If the peak position in elevation spectrum is used to determine height, then the method is straightforward, but reliability deteriorates when multiple peaks or weak peaks are present
Solution Approach 1:
The patent extracts the shape characteristics from the elevation spectrum while discarding the problematic peak position information. By taking out the shape parameters (width, symmetry, curvature) and using only those for height determination, the method eliminates the reliability issues associated with peak selection in complex spectral conditions.
Solution Approach 2:
The patent introduces shape parameters as intermediary variables between the raw elevation spectrum and the final height determination. These shape parameters serve as mediators that translate spectral information into reliable height estimates without being directly affected by peak ambiguity.
3Measurement precision
If accurate sensor mounting and pitch angle data are required for height determination, then the measurement precision can be improved, but the device complexity and data requirements increase
Solution Approach 1:
The patent enables the radar system to determine object height using only its own elevation spectrum data without requiring additional sensor mounting information or pitch angle measurements from other systems. The shape-based method makes the system self-sufficient, eliminating dependencies on external data sources and reducing overall system complexity.
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 provides more accurate and reliable height estimation, enabling better obstacle detection and adaptive driving assistance systems, including automatic emergency braking and path modification.
Implementation Method 1
Modern vehicles typically have, among other sensors such as ultrasound sensors, camera sensors and lidar sensors, one or more radar sensors which can be used to monitor and acquire sensor data of the environment, that is the surrounding, of the vehicle and to detect objects in the surrounding.
Implementation Method 2
The multiple antenna elements distributed in vertical direction may be in addition to the antenna elements distributed horizontally. As such, it is possible to obtain detections which are separated in elevation
Data Source
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AI summary
A computer-implemented method for determining a height of an object in a surrounding of a vehicle, the method comprising: acquiring radar data in respect of each of a plurality of vertically distributed antenna elements of a radar antenna; estimating an elevation spectrum from the acquired radar data; extracting one or more features representative of the shape of the estimated elevation spectrum; and determining the height of the object using the extracted one or more features.