Vehicle Movement Estimation Using Radar Doppler Feedback
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Solution Overview
Problem
Existing vehicle movement estimation techniques face challenges in accurately estimating movement velocity and direction, particularly when wheels slip or road surfaces are inclined or uneven, due to drift errors in gyroscopes and limitations in wheel rotation data.
Innovation Solution
A vehicle movement estimation device that combines radar technology to transmit and receive waves, estimating radar movement velocity and direction, along with angular velocity estimation, to accurately determine vehicle movement velocity and direction based on spatial relationships and radar positions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If wheel rotation data is used to estimate vehicle movement velocity, then the estimation method is simple, but the accuracy degrades when the wheel slips
Solution Approach 1:
The patent combines radar movement velocity measurement with gyroscope angular velocity measurement to estimate vehicle movement velocity. This merging of multiple measurement sources compensates for the limitations of individual methods: radar provides accurate velocity measurement even during wheel slip, while the gyroscope provides directional information. The combination resolves the contradiction by maintaining simplicity through integrated processing while improving accuracy through multi-source data fusion.
2Ease of operation
If gyroscope integration is used to estimate vehicle movement direction, then the method is straightforward, but drift error accumulates over time degrading accuracy
Solution Approach 1:
The patent introduces feedback by using radar movement direction measurements to correct and update the gyroscope-based movement direction estimation. The radar provides periodic absolute direction references that prevent drift accumulation, while the gyroscope provides continuous directional information between radar updates. This feedback mechanism maintains the straightforwardness of the estimation method while significantly improving long-term accuracy.
3Device complexity
If traditional estimation methods are used on inclined or uneven road surfaces, then the system complexity remains low, but the estimation accuracy degrades
Solution Approach 1:
The patent introduces radar as an intermediary measurement tool that directly measures vehicle movement velocity and direction without being affected by road surface conditions or wheel slip. The radar acts as a mediator between the vehicle's actual movement and the estimation system, providing accurate reference data that compensates for errors in wheel-based and gyroscope-based measurements under challenging road conditions while maintaining relatively low 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 robust and accurate estimation of vehicle movement velocity and direction, even under slipping conditions and on uneven road surfaces, reducing the influence of measurement errors and improving accuracy compared to traditional methods.
Implementation Method 1
a radar that is provided in a vehicle and that performs transmission of a radar wave and reception of a reflected wave that is the radar wave reflected by an object
Implementation Method 2
a radar movement estimator that estimates a radar movement velocity and a radar movement direction of the radar based on the reflected wave
Data Source
AI summary
A vehicle movement estimation device has a radar that is provided in a vehicle and that performs transmission of a radar wave and reception of a reflected wave that is the radar wave reflected by an object, a radar movement estimator that estimates a radar movement velocity and a radar movement direction of the radar based on the received reflected wave, an angular velocity estimator that estimates a rotational angular velocity of the vehicle, and a vehicle movement estimator that estimates a movement velocity and a movement direction of a prescribed position of the vehicle based on the estimated radar movement velocity and radar movement direction, the estimated rotational angular velocity, and a spatial relationship between the radar and the prescribed position.