Radar Parking Slot Detection via Spatial Histogram Fourier Transform
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Solution Overview
Problem
Current sensor systems, such as radar-based systems, face challenges in accurately and robustly detecting and characterizing parking slot configurations, like rows of parking slots, which is essential for automated vehicle systems but lacks effective methods for reliable output.
Innovation Solution
A method using a sensor signal processing unit that receives radar detections, generates a spatial distribution representation through a histogram, and applies a Fourier transform to detect parking slot configurations, allowing for improved accuracy and robustness in identifying parking facilities and slot locations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional radar-based sensor systems are used to detect parking slots, then the system can identify objects in the vicinity, but the detection accuracy and robustness of parking slot configuration is insufficient
Solution Approach 1:
The patent transforms the spatial distribution of radar detections from 2D coordinates into the frequency domain using Fourier transform. This dimensional transformation allows repetitive parking slot patterns to be identified as distinct frequency peaks, significantly improving detection accuracy and robustness against noise and occlusions.
Solution Approach 2:
The patent changes the representation parameters of radar data by applying histogram generation and Fourier transform. This parameter transformation converts spatial coordinate data into frequency domain characteristics, enabling reliable detection of parking slot configurations even in challenging conditions.
2Loss of information
If simple object detection is used, then the system can identify individual radar reflections, but it cannot reliably characterize repetitive patterns like rows of parking slots
Solution Approach 1:
The patent replaces complex pattern recognition algorithms with a mathematical transformation approach. By using Fourier transform on the spatial distribution histogram, the system automatically reveals repetitive patterns through frequency analysis, simplifying the detection process while improving pattern recognition capability.
Solution Approach 2:
The patent introduces a histogram as an intermediary representation between raw radar detections and final pattern recognition. This intermediate spatial distribution histogram serves as a bridge that preserves pattern information while enabling efficient Fourier transform 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
This approach enhances the detection of parking slot configurations with increased accuracy and robustness, enabling better identification of parking facilities and precise location of parking slots, reducing erroneous determinations.
Implementation Method 1
radio detection and ranging (radar) systems
Implementation Method 2
a Fourier transform unit arranged to transform the spatial distribution to detect a repetitive pattern
Data Source
AI summary
A sensor signal processing unit (100) arranged to detect a configuration of parking slots (1a,1b,1c,1d) based on radar detections received from a radar-based sensor system (120). The unit includes a histogram unit arranged to generate a representation of a spatial distribution of a set of radar detection coordinates, and a detection unit arranged to detect the configuration of parking slots. The detection unit is arranged to detect the configuration of parking slots based on a Fourier transform of the representation of spatial distribution.