Radar Axis Deviation Detection Using Vehicle Motion Correction
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Solution Overview
Problem
Existing axis deviation detection techniques in in-vehicle measurement devices using radar waves are inaccurate when the vehicle travels along a specific locus, such as a curve, leading to errors in detecting the position and velocity of stationary obstacles.
Innovation Solution
An axis deviation detection device that corrects radar-based measurement data using sensor data from a vehicle's behavior, such as yaw rate and velocity, to improve accuracy by comparing data generated under a specific travel locus, like a curve, and calculates axis deviation based on corrected radar and sensor data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If radar-based measurement is used to detect position and velocity of stationary obstacles, then obstacle detection capability is provided, but measurement accuracy deteriorates when the vehicle travels along a specific locus such as a curve
Solution Approach 1:
The patent introduces a correction unit that acts as an intermediary between the radar measurement system and the final detection output. This correction unit uses sensor data (accelerometer, gyroscope, GPS) as intermediate information to calculate and apply correction values to the radar-derived position and velocity data, thereby compensating for measurement errors that occur during curved travel without requiring changes to the fundamental radar measurement mechanism
Solution Approach 2:
The system implements a feedback mechanism where sensor data continuously monitors the vehicle's travel state and provides real-time correction information to the measurement results. The correction unit receives feedback from multiple sensors about the vehicle's actual motion state and dynamically adjusts the position and velocity measurements accordingly, creating a closed-loop system that maintains accuracy under varying travel conditions
2Measurement precision
If correction based on sensor data is applied to radar measurement data, then measurement accuracy under specific travel loci is improved, but device complexity increases
Solution Approach 1:
The correction unit is designed to handle multiple types of travel conditions (straight travel, curved travel, acceleration, deceleration) using a unified correction framework. The same correction unit processes data from multiple sensor types (accelerometer, gyroscope, GPS) and applies appropriate corrections based on the detected travel state, eliminating the need for separate correction mechanisms for different scenarios and reducing overall system complexity
Solution Approach 2:
The patent merges the correction functionality with the existing measurement processing pipeline. The correction unit integrates sensor data processing and correction value application within the same processing flow that handles radar data, rather than creating a separate parallel system. This consolidation reduces device complexity by combining multiple functions into a unified processing architecture
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
Enhances the accuracy of detecting axis deviation by correcting errors caused by vehicle travel along a specific locus, particularly curves, using radar and sensor data, thereby improving the precision of obstacle detection.
Implementation Method 1
a radar device 20 for radiating radar waves and receiving reflected waves of the radiated radar waves
Data Source
AI summary
An axis deviation detection device detects a deviation of a central axis of an in-vehicle measurement device that executes measurement using radar waves. The axis deviation detection device performs correction of data that are obtained by the measurement device, to generate first data. Furthermore, the axis deviation detection device generates second data, based on behavior of the vehicle as measured by a sensor unit. The axis deviation detection device then detects the deviation of the central axis, from the first and second data.