Radar Interpolation Circuit for Multi-Resolution Object Detection
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Solution Overview
Problem
Existing object detection devices in roadway infrastructure systems face challenges in accurately detecting the position and velocity of objects with different spatial resolutions, leading to potential traffic accidents and security breaches due to insufficient data interpolation and noise influence.
Innovation Solution
The object detection device employs first and second radar devices to generate measured values in spatial cells, interpolates these values to determine target object regions, and uses object determination circuitry to accurately identify and determine the target object's position and velocity, effectively addressing different spatial resolutions and noise issues.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If multiple radar devices with different spatial resolutions are used to detect objects, then the coverage area and detection capability are improved, but the measurement precision and reliability deteriorate due to inconsistent spatial resolutions causing inaccurate data fusion
Solution Approach 1:
The patent transforms measured values from radar devices with different spatial resolutions into a common coordinate system through interpolation. Specifically, it converts measured values from a first spatial resolution to a second spatial resolution by calculating interpolated values at target object positions, thereby unifying the parameter space and enabling accurate data fusion while maintaining high detection precision across different coverage areas
Solution Approach 2:
The patent introduces an intermediary coordinate transformation process that acts as a mediator between radar devices with different spatial resolutions. By inserting an interpolation step that converts measured values to a common reference frame, the system enables accurate fusion of data from multiple radars without direct conflict between their different resolution parameters
2Productivity
If data from multiple radar devices are directly fused without interpolation, then the processing speed is improved, but the reliability deteriorates due to noise influence and inconsistent spatial resolutions
Solution Approach 1:
The patent performs preliminary coordinate transformation and interpolation of measured values before the final object detection and data fusion steps. By pre-converting all measured values to a common coordinate system and applying interpolation in advance, the system prepares clean, consistent data for subsequent processing, thereby improving reliability without significantly impacting overall detection speed
Solution Approach 2:
The patent replaces direct mechanical data fusion (simple combination of raw measured values) with an interpolated transformation process. Instead of directly fusing data from different spatial resolutions, the system substitutes this with a mathematical interpolation approach that transforms data to a common reference frame, thereby filtering out noise and resolution inconsistencies while maintaining processing efficiency
3Measurement precision
If spatial cells are densely divided to improve detection precision, then the measurement precision is improved, but the device complexity increases due to larger data processing requirements
Solution Approach 1:
The patent segments the detection space into discrete spatial cells and processes measured values on a cell-by-cell basis. By dividing the continuous space into manageable segments and applying interpolation independently to each cell, the system achieves high spatial precision without overwhelming the processing system, as each segment can be handled independently and efficiently
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 solution enables accurate detection of vehicles, pedestrians, and other objects, preventing collisions and enhancing traffic management and security by improving data interpolation and reducing noise influence across varying spatial resolutions.
Implementation Method 1
a first radar device transmits a first radar signal and receives a first reflected signal from a target object
Implementation Method 2
detects by radar an object... detects a position and a Doppler velocity
Data Source
AI summary
An object detection device includes first information generation circuitry second information generation circuitry, region calculation circuitry, measured value interpolation circuitry, and object determination circuitry. The measured value interpolation circuitry which, in operation, calculates a first interpolated measured value of the first target object region using the second measured value of the second target object region or calculates a second interpolated measured value of the second target object region using the first measured value of the first target object region. The object determination circuitry which, in operation, determines the target object using a combination of the first measured value and the first interpolated measured value or a combination of the second measured value and the second interpolated measured value.