Vehicle Radar Ghost Target Removal for Multi-Reflection Signals
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Solution Overview
Problem
Existing vehicle radar systems struggle to recognize and remove ghost targets caused by multi-reflection signals, particularly when nearby vehicles are involved, leading to potential deterioration in driving performance and accident risks.
Innovation Solution
A method and system that recognize the presence of first, second, and third targets, set an occlusion region for the second target, compare information such as longitudinal and transverse positions, and estimated speeds between the first and third targets to determine if the third target is a ghost target, using a sensor-mounted algorithm to improve ghost target recognition performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the related-art ghost target recognition method (recognizing continuous stationary object signals from stationary structures) is used, then ghost targets from stationary structures can be recognized, but ghost targets from moving objects (nearby vehicles) cannot be recognized
Solution Approach 1:
The patent transitions from static ghost target recognition (stationary structures only) to dynamic recognition by introducing moving object detection. The system now handles both stationary and moving reflective objects, making the ghost target recognition adaptable to dynamic traffic scenarios where nearby vehicles may cause multi-reflection signals.
Solution Approach 2:
The patent changes the recognition parameters from solely relying on stationary object characteristics to incorporating moving object parameters. By detecting corner points, setting occlusion regions, and comparing positional relationships between moving objects and detected targets, the system can identify ghost targets caused by moving vehicles.
2Reliability
If multi-reflection signals from nearby vehicles are not addressed, then the recognition system remains simple, but driving performance deteriorates and accident risks increase due to unrecognized ghost targets
Solution Approach 1:
The patent applies preliminary action by detecting corner points of nearby vehicles and pre-setting occlusion regions before target recognition occurs. This preparatory step establishes the spatial boundaries where ghost targets may appear, enabling the system to proactively filter out false detections before they affect driving decisions.
Solution Approach 2:
The patent introduces an intermediary occlusion region concept that acts as a mediator between the detected moving object and the target recognition process. This occlusion region serves as a spatial filter, allowing the system to determine whether detected targets fall within regions where ghost targets are likely to occur, thereby improving reliability without requiring complete system redesign.
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 ghost target recognition performance by accurately identifying and removing ghost targets due to vehicle radar multi-reflection signals, thereby improving driving safety and performance.
Implementation Method 1
vehicle radar multi-reflection signal
Implementation Method 2
multi-reflection signal path (multi path)
Data Source
AI summary
Provided is a method of removing a ghost target due to a vehicle radar multi-reflection signal. More specifically, the method includes determining the presence or absence of an occluded target, and when a condition is satisfied, determining the target as a ghost target due to a multi-reflection signal and removing the target.