Vehicle Radar Lateral Position Calculation Using Multiple Reflection Points
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Solution Overview
Problem
Vehicle-mounted radar systems face challenges in accurately detecting the position of preceding vehicles due to variations in the lateral position of reflection points, especially during cornering, which can lead to incorrect lane detection.
Innovation Solution
A vehicle-mounted radar apparatus that uses a target detection unit to identify reflection points, a representative target selection unit to designate a primary target, and an object position determination unit to calculate the lateral position of the preceding vehicle by considering multiple reflection points, including those on the rear and interior, to reduce positional variations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If the radar apparatus uses only the reflection point on the rear portion of the preceding vehicle for position detection, then the detection process is simple, but the detected lateral position varies significantly during cornering or when the own vehicle pitches
Solution Approach 1:
The patent combines multiple reflection points (rear portion reflection point and interior reflection points) into a unified detection system. By integrating signals from multiple targets and calculating their weighted mean position, the system merges individual position measurements to produce a more stable and accurate lateral position detection that remains reliable during cornering and vehicle pitching.
2Reliability
If the radar apparatus detects multiple reflection points including interior points, then the positional stability improves, but the detection and processing complexity increases
Solution Approach 1:
The patent changes the parameter of position calculation by introducing a weighted mean calculation method. Instead of simply averaging positions or selecting a single reflection point, the system calculates the weighted mean of lateral positions based on the intensity of reflected radar waves from multiple targets. This parameter change enables the system to leverage multiple reflection points for improved stability while managing processing complexity through a defined mathematical approach.
3Measurement precision
If the radar system calculates position based on multiple targets, then accuracy during cornering improves, but the computational load increases
Solution Approach 1:
The patent applies local quality by focusing the enhanced multi-target processing specifically on determining the lateral position of the preceding vehicle, while other aspects of radar operation continue with standard processing. The weighted mean calculation is selectively applied to the lateral position component that benefits most from multiple reflection points, particularly during cornering scenarios, rather than applying complex processing uniformly to all detection parameters.
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 effectively reduces variations in detected position, improving accuracy even when the preceding vehicle is large, by calculating a weighted mean or center position from multiple targets, thereby enhancing the reliability of lane detection.
Implementation Method 1
a radar apparatus for transmitting and receiving radar waves to thereby detect an object reflecting the radar waves
Implementation Method 2
receiving the radar waves reflected from an object around the vehicle mounting the radar apparatus thereon
Data Source
AI summary
A vehicle-mounted radar apparatus for transmitting radar waves in a forward traveling direction of a vehicle mounting the apparatus thereon (radar-mounting vehicle) and receiving the radar waves reflected from an object to acquire information about the object. In the apparatus, a target detection unit transmits and receives the radar waves to detect positions of 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. An object position determination unit calculates a value of a predefined function of lateral positions of two or more targets of all the targets selected by the same-object target selection unit as a lateral position, along a vehicle-width direction of the radar-mounting vehicle, of the specific reflecting object.