Parking Detection Sensor Using Doppler and Magnetic Fusion
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Solution Overview
Problem
Existing parking detection systems using magnetic sensors are prone to erroneous detection due to interference from adjacent vehicles and are not reliable, especially when combined with environmental factors like stains affecting infrared distance sensors.
Innovation Solution
A parking detection system incorporating a Doppler sensor and a magnetic sensor that detects magnetism on the Z-axis, with a change point detection section and a level difference detection section to determine the parking state, improving reliability by using combined sensor data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If magnetic sensor data from all three axes (X, Y, Z) is used for parking detection, then detection coverage is improved, but false detection increases due to interference from adjacent vehicles
Solution Approach 1:
The patent segments the magnetic sensor data processing by separating the detection of vehicles in the target parking space from vehicles in adjacent spaces. It uses specific axis data (Z-axis for target space, X and Y axes for adjacent spaces) to segment the detection zones, thereby reducing false detections while maintaining detection coverage.
Solution Approach 2:
The patent applies local quality by assigning different detection sensitivities and data processing methods to different spatial zones. The Z-axis magnetic field changes are primarily used for detecting vehicles in the target parking space, while X and Y axis changes are used for detecting vehicles in adjacent spaces, creating zone-specific detection quality.
2Measurement precision
If infrared distance sensor is used in hybrid system, then detection accuracy is improved, but long-term reliability deteriorates due to susceptibility to stains
Solution Approach 1:
The patent replaces the optical-based infrared distance sensor with a magnetic sensor-based detection system. This substitution eliminates the susceptibility to stains and environmental factors that affect infrared sensors, while maintaining detection accuracy through magnetic field measurement.
3Reliability
If only Z-axis magnetic sensor data is used, then false detection from adjacent vehicles is reduced, but detection reliability deteriorates when magnetic signal is weak
Solution Approach 1:
The patent merges multiple detection approaches by combining Doppler sensor data with selective magnetic sensor data. The Doppler sensor provides motion detection capability that complements the magnetic sensor, ensuring reliable detection even when magnetic signals are weak, while maintaining false detection reduction through intelligent data fusion.
Solution Approach 2:
The patent introduces an intermediary detection mechanism using the Doppler sensor to verify parking events detected by the magnetic sensor. When magnetic field changes indicate a potential parking event, the Doppler sensor acts as an intermediary to confirm the presence and motion state of the vehicle, ensuring detection reliability.
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 and reliability of parking detection by reducing false positives and negatives, particularly in scenarios where magnetic sensor data is weak or affected by environmental conditions.
Implementation Method 1
a Doppler sensor
Implementation Method 2
a magnetic sensor that detects magnetism on a Z axis toward a vehicle
Data Source
AI summary
Parking detection sensor (100) has a Doppler sensor (110), a magnetic sensor (120) that detects magnetism on XYZ axes, a change point detection unit (130) that detects a change point in the output of the Doppler sensor (110) and the magnetic sensor (120), a level difference detection unit (140) that detects the magnetic level difference over time in the output of the Doppler sensor (110) and the magnetic sensor (120), and a state assessment unit (150) that assesses the parking state of a vehicle on the basis of the detection results of the change point detection unit (130) and the detection results of the level difference detection unit (140).