Radar Lateral Location Detection Using Dynamic Value Selection
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Solution Overview
Problem
Existing radar devices struggle to determine the lateral location of a target with high accuracy, especially when a vehicle is turning, due to increased changes in the target's lateral position, leading to significant errors between the determined and actual locations.
Innovation Solution
A radar device that includes a detecting unit, a selecting unit, and a determining unit, where the selecting unit chooses a predetermined number of detection values based on the vehicle's turning radius from a detection value history, and the determining unit calculates a definitive value for the lateral location using these selected values.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a fixed number of detection values are used for determining lateral location, then the device complexity is low, but the measurement precision deteriorates when the vehicle turns
Solution Approach 1:
The patent applies dynamics by making the number of detection values used for determination variable rather than fixed. The selecting unit dynamically adjusts the number of detection values based on the vehicle's turning radius, using more values during straight travel and fewer values during turns. This dynamic adaptation resolves the contradiction by optimizing measurement precision for different operating conditions without requiring complex real-time adjustment mechanisms.
Solution Approach 2:
The patent changes the parameter of the number of detection values used for determination based on the vehicle's turning radius. When the turning radius is large (straight travel), more detection values are used to improve precision. When the turning radius is small (sharp turns), fewer detection values are used to avoid errors from rapid lateral position changes. This parameter change strategy directly addresses the measurement precision issue while maintaining manageable device complexity.
2Measurement precision
If more detection values are used for determination, then the measurement precision improves during straight travel, but the measurement precision deteriorates during turns due to increased lateral position changes
Solution Approach 1:
The patent makes the number of detection values dynamic based on vehicle operating conditions. During straight travel, more detection values are used to improve measurement precision through better statistical averaging. During turns, the system automatically reduces the number of detection values used, preventing the accumulation of errors from rapid lateral position changes. This dynamic adjustment maintains reliability across different driving scenarios.
Solution Approach 2:
The system changes the parameter of detection value count based on the turning radius parameter. By monitoring the vehicle's turning radius and adjusting the number of detection values accordingly, the patent ensures high measurement precision during straight travel while maintaining detection accuracy during turns by using fewer values when lateral position changes are rapid.
3Productivity
If all detection values in the history are used for determination, then the productivity is high, but the measurement precision deteriorates due to inclusion of outdated or irrelevant data
Solution Approach 1:
The patent extracts only the relevant detection values from the detection value history based on the vehicle's turning radius. The selecting unit identifies and extracts a specific number of appropriate detection values that are most relevant to the current situation, excluding outdated or irrelevant data. This extraction process improves measurement precision by using only meaningful data while maintaining productivity by avoiding processing of the entire history.
Solution Approach 2:
The patent applies partial action by using only a subset of the available detection values rather than all values in the history. The selecting unit determines an appropriate number of detection values based on turning radius, using just enough data to achieve accurate determination without the overhead of processing excessive data. This partial approach balances productivity and measurement precision effectively.
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 reduces errors in determining the lateral location of a target, improving detection accuracy by adjusting the number of detection values based on the turning radius, thereby enhancing the precision of lateral location detection.
Implementation Method 1
a radar device for detecting a location of a target and so on by transmitting a transmission wave in a traveling direction of a vehicle equipped with the radar device and receiving reflected waves from the target
Data Source
AI summary
There is provided a radar device. A detecting unit is configured to detect a lateral location of a target relative to a vehicle equipped with the radar device, on the basis of reflected waves from the target. A selecting unit is configured to select a predetermined number of detection values from a detection value history including detection values of the lateral location detected by the detecting unit in chronological order. The predetermined number depends on a turning radius of the vehicle. A determining unit is configured to determine a definite value of the lateral location on the basis of the detection values selected by the selecting unit.