Vehicle Radar Target Inclusion Region Adaptation
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Solution Overview
Problem
Vehicle-mounted radar systems face accuracy issues in detecting the position of preceding vehicles, especially large vehicles, due to variations in radar wave reflection points, leading to incorrect lane detection and reduced accuracy.
Innovation Solution
A vehicle-mounted radar apparatus that includes a target detection unit, an object position determination unit, a representative target selection unit, a same-object target selection unit, and a large-vehicle determination unit, which identifies and adjusts the target inclusion region based on the extent of radar-wave reflection points to accurately determine the position of large vehicles, preventing incorrect lane detection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a fixed target inclusion region is used for position determination, then the device complexity is low, but the measurement precision deteriorates for large vehicles due to fluctuating reflection points
Solution Approach 1:
The patent applies dynamics by making the target inclusion region adaptive rather than fixed. The control unit dynamically adjusts the target inclusion region based on the detected extent of reflection points. When the extent exceeds a threshold (indicating a large vehicle), the region is expanded to accommodate the broader reflection pattern, thereby maintaining measurement precision without requiring complex manual intervention or fixed rigid parameters.
Solution Approach 2:
The patent implements parameter changes by modifying the target inclusion region parameters (position and size) based on the detected extent of reflection points. The control unit changes the region parameters adaptively: when the extent of reflection points indicates a large vehicle, the region is expanded; when it indicates a small vehicle, the region is reduced. This dynamic parameter adjustment resolves the contradiction between maintaining high precision for different vehicle types and avoiding excessive system complexity.
2Measurement precision
If the target inclusion region is expanded to cover large vehicles, then the measurement precision for large vehicles improves, but the reliability deteriorates by potentially including unrelated vehicles in the determination
Solution Approach 1:
The patent applies local quality by adjusting the target inclusion region specifically for the detected object rather than using a universally large region. The control unit determines the extent of reflection points for each detected target and adjusts the region locally around that target. This ensures that when the region is expanded for large vehicles, it is expanded only around the actual large vehicle's reflection points, not across the entire detection field, thereby maintaining reliability by excluding unrelated vehicles.
Solution Approach 2:
The patent uses dynamics to make the target inclusion region adaptive and responsive to real-time detection data. The control unit continuously monitors the extent of reflection points and dynamically adjusts the region size accordingly. This dynamic adjustment ensures the region is large enough to include all reflection points of a large vehicle when detected, but not so large that it inadvertently includes unrelated vehicles, thus maintaining both precision and reliability.
3Measurement precision
If multiple reflection points are considered for position determination, then the measurement precision improves, but the device complexity increases due to additional processing requirements
Solution Approach 1:
The patent implements parameter changes by using the extent of reflection points as a key parameter to determine vehicle type and adjust the target inclusion region. The control unit calculates the extent (difference between maximum and minimum positions) of detected reflection points and uses this parameter to adaptively adjust the region. This approach processes multiple reflection points efficiently by focusing on their spatial extent rather than requiring complex individual analysis of each point, thereby improving precision while managing processing 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
The system enhances the accuracy of detecting the position of preceding vehicles, especially large ones, by dynamically adjusting the target inclusion region, thereby reducing errors in lane detection and preventing the misidentification of smaller vehicles as preceding vehicles.
Implementation Method 1
transmitting radar waves toward the outside of a vehicle mounting the apparatus thereon, and receiving the radar waves reflected from an object
Data Source
AI summary
A vehicle-mounted radar apparatus for transmitting radar waves toward the outside of a vehicle mounting the apparatus thereon and receiving the radar waves reflected from an object to thereby acquire information about the object. In the apparatus, a target detection unit transmits and receives the radar waves to detect positions of targets. An object position determination unit determines a position of the object reflecting the radar waves on the basis of the positions of the targets. A representative target selection unit selects a representative target from the targets detected by the target detection unit. A same-object target selection unit selects targets belonging to the same object as the representative target. A large-vehicle determination unit determines whether or not an extent of the targets selected by the same-object target selection unit is equal to or greater than a predetermined threshold value for large-vehicle determination.