Parking Space Detection Using Overhead Coordinate Matching
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Solution Overview
Problem
Existing methods for determining parking space availability are resource-intensive and prone to recognition errors, especially when faced with non-standard vehicles or foreign objects, and do not accurately distinguish between occupied and available spaces.
Innovation Solution
A method using environmental sensors, such as lidar, sonar, or camera, positioned overhead to obtain an environment frame, identify layout coordinates of parking spaces, and match vehicle outline coordinates with these coordinates using a neural network to determine availability, reducing resource usage and improving accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional methods use multiple sensors and complex outline calculations to determine parking space availability, then measurement precision is improved, but device complexity and computing resources increase
Solution Approach 1:
The patent extracts only the essential information needed for parking space detection - specifically using simple 2D/3D coordinate data from environmental sensors rather than processing complete vehicle outlines. This extraction approach maintains detection accuracy while significantly reducing computational complexity by focusing only on key geometric parameters.
Solution Approach 2:
The patent segments the complex vehicle detection problem into simpler geometric operations - dividing the environment frame into discrete coordinate points and using mathematical operations (distance calculations, coordinate transformations) to determine spatial relationships between vehicles and parking spaces, replacing complex image processing.
2Measurement precision
If edge detection methods are used to identify parking space boundaries, then measurement precision is improved, but recognition errors increase for non-standard vehicles
Solution Approach 1:
The patent changes the detection parameters from edge-based visual features to geometric coordinate-based features. By using 2D/3D coordinates and mathematical distance calculations instead of edge detection algorithms, the system achieves reliable detection for all vehicle types including non-standard vehicles, motorcycles, and foreign objects without being affected by vehicle shape variations.
3Measurement precision
If complex outline matching is performed to determine vehicle presence, then measurement precision is improved, but computing resources increase
Solution Approach 1:
The patent replaces expensive, resource-intensive outline matching algorithms with simple, computationally inexpensive coordinate comparisons. The system uses basic mathematical operations (distance calculations, coordinate transformations) that consume minimal computing resources while maintaining detection accuracy, effectively using 'cheap' computational methods instead of 'expensive' complex algorithms.
Data Source
AI summary
The technical solution relates to the field of information technology, more specifically, to methods and techniques for determining the availability of parking spaces. There is a need to simplify the methods, techniques and systems for determining the availability of parking spaces in order to reduce the consumption of computing resources and at the same time ensure accurate and reliable determination of the availability of a parking space. The technical result achieved when implementing the claimed technical solution, in addition to implementing the product and/or method of its purpose, is to increase the reduction of the resources required to determine the availability of a parking space, as well as to increase the accuracy of determining the availability of a parking space while eliminating recognition errors and ensuring the ability to determine the availability of a parking space even if it is occupied by an object not intended for placement in a parking space. In some aspects, another technical result achieved is also an increase in road safety.