Camera-Based Parking Support for Non-Regular Space Recognition
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Solution Overview
Problem
Current parking assistance systems rely on multiple sensors, increasing complexity and manufacturing costs, and accuracy is compromised if any sensor fails, necessitating a solution that uses a single sensor effectively for recognizing parking spaces, especially when regular spaces are unavailable.
Innovation Solution
A parking assistance apparatus employing a camera sensor to analyze images, match them with a detailed parking lot map, and calculate available parking spaces, including non-regular spaces, to generate a parking path and control vehicle operations for autonomous parking, reducing system load and cost.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple sensors are used to recognize parking spaces, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The camera sensor performs multiple functions including parking space recognition, object detection, and distance measurement. By making the camera sensor multi-functional, the system reduces the need for multiple specialized sensors while maintaining comprehensive parking assistance capabilities
Solution Approach 2:
The system creates a digital map copy of the parking lot environment based on camera images. This virtual representation allows the system to recognize parking spaces and plan paths without requiring direct physical measurement from multiple sensors
2Measurement precision
If multiple sensors are used to recognize parking spaces, then measurement precision is improved, but manufacturing cost increases
Solution Approach 1:
The system replaces expensive, durable sensors with a more affordable camera sensor. While cameras have different durability characteristics, their lower cost makes them economically attractive for parking assistance applications where extreme durability is not the primary requirement
Solution Approach 2:
By using a camera sensor that can perform multiple functions (recognition, detection, measurement), the system reduces the total number of components needed, thereby lowering manufacturing costs while maintaining functional requirements
3Measurement precision
If more sensing information is used to recognize parking spaces, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The system extracts only the essential features from camera images (parking space boundaries, objects, distances) rather than processing all available sensing information. This selective extraction reduces algorithmic complexity while maintaining recognition accuracy
Solution Approach 2:
By creating a simplified digital map copy of the parking environment, the system processes a reduced representation of the scene rather than full-resolution sensor data, thereby reducing computational complexity while preserving necessary spatial information
Data Source
AI summary
A parking assistance apparatus includes at least one camera sensor installed in a vehicle, a control unit configured to analyze an image obtained through the camera sensor to recognize a space and object in a parking lot by matching a detailed parking lot map to an object, search for an available parking space by calculating a parking region on the basis of recognized space and object information, and generate a path to the available parking space searched for, or perform autonomous parking until reaching the available parking space, and a storage unit configured to store the detailed parking lot map for recognizing the space and object.