Vehicle Radar Height Estimation Using 2D Range-Velocity Correlation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current vehicle radar systems face challenges in accurately recognizing and determining the road environment and target heights based on signal inputs, limiting their effectiveness in real-time vehicle control and navigation.
Innovation Solution
A vehicle controller and radar system that generates a 2D spectrum with range and velocity components from chirp signals, creates a range-velocity map, determines correlation coefficients, and estimates target heights to recognize the road environment and targets, enhancing the system's ability to detect and classify objects based on their height and material.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional radar signal processing is used, then the system structure is simple, but the measurement precision of target height and road environment recognition is insufficient
Solution Approach 1:
The patent transforms the traditional one-dimensional radar signal processing into two-dimensional spectrum analysis by introducing a height dimension. The 2D spectrum includes both range component and velocity component, enabling the system to measure target height by analyzing the spectral distribution across different height values, thus improving measurement precision while managing complexity through structured dimensional expansion.
Solution Approach 2:
The patent changes the processing parameters by generating multiple range-velocity maps corresponding to different height values in a height set. By correlating the 2D spectrum with these maps across varying height parameters, the system determines correlation coefficients for each height value, thereby achieving precise target height measurement through parameter variation and comparison.
2Reliability
If basic radar detection is used, then the device complexity is low, but the recognition accuracy of road environment and target material is insufficient
Solution Approach 1:
The patent segments the radar signal analysis into distinct components: 2D spectrum generation with range and velocity components, multiple range-velocity map creation for different height values, and correlation coefficient determination. This segmentation allows the system to systematically analyze road environment and target characteristics by breaking down the complex recognition task into manageable analytical stages, improving reliability through structured analysis.
Solution Approach 2:
The patent introduces range-velocity maps as intermediary elements that facilitate the correlation between the 2D spectrum and target characteristics. These maps serve as mediators that enable the system to compare spectral data against hypothetical target scenarios at different heights, thereby improving road environment recognition accuracy by providing a systematic comparison framework.
Data Source
AI summary
Various embodiments relate to a device and method for controlling vehicles and a radar system for vehicles. The vehicle controller may include a spectrum generator generating a 2D spectrum, a range-velocity map generator generating a range-velocity map corresponding to each height value included in a height set, a correlation coefficient determiner determining a correlation coefficient corresponding to each height value included in the height set, and a target determiner estimating a height of a target based on the correlation coefficient and recognizing the target based on the height of the target.