Parking Assistance Using Sensor Network Positioning
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Solution Overview
Problem
Current parking systems lack efficient methods for identifying and assisting with parking space selection and vehicle positioning, especially in environments where GPS signals may be unreliable.
Innovation Solution
A system utilizing a network of sensors and a controller to identify parking spaces, acquire measurement data, determine a parking trajectory, and control vehicle subsystems for precise parking, leveraging wireless communication and database information for accurate parking assistance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a parking assistance system uses GPS signals for vehicle positioning, then positioning can be achieved in open areas, but GPS signals become unreliable in parking garages or urban canyons
Solution Approach 1:
The patent introduces sensors (ultrasonic, infrared, laser, or camera-based) as intermediary devices to detect parking space boundaries and vehicle position. These sensors act as mediators between the vehicle and the environment, providing positioning information when GPS is unavailable by measuring physical quantities like time of flight, intensity of reflected signals, or image data.
Solution Approach 2:
The patent replaces the GPS satellite-based electromagnetic positioning system with a local sensor-based detection system. Instead of relying on distant satellite signals, the system uses local sensors mounted on the vehicle or infrastructure to directly measure position relative to parking spaces, substituting a mechanical/optical detection approach for satellite-based positioning.
2Measurement precision
If the system uses multiple types of sensors to identify parking spaces and determine trajectories, then parking assistance accuracy is improved, but system complexity increases
Solution Approach 1:
The patent employs sensors that can serve multiple functions: detecting parking space boundaries, measuring vehicle position, determining trajectory, and identifying available spaces. A single sensor system performs what would traditionally require multiple specialized devices, reducing overall system complexity while maintaining measurement precision.
Solution Approach 2:
The system changes measurement parameters dynamically based on the situation. Different sensor types (ultrasonic, infrared, laser, camera) are selected or combined based on environmental conditions, required precision, and available resources. The controller adjusts which parameters to measure and how to process them, optimizing the balance between accuracy and complexity.
Data Source
AI summary
A method, an apparatus, and a non-transitory computer readable medium for parking assistance are provided. The method includes identifying a parking space based on information acquired from a plurality of sensors, connecting to a sensor associated with the identified parking space, acquiring measurement data from the sensor indicative of a vehicle position relative to the sensor, determining a parking trajectory based on the measurement data, and controlling at least a subsystem of a vehicle based on the parking trajectory.