Parking Space Identification Using Multi-Vehicle Image Fusion
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Solution Overview
Problem
The increasing number of vehicles and limited parking spaces often require drivers to search for parking while driving, leading to distractions and potential accidents.
Innovation Solution
A system and method utilizing multiple vehicles to capture images of a parking area, construct a fusion image, and determine free parking spaces using triangulation and image processing techniques, including occlusion detection and coordinate conversion to guide drivers directly to available spaces.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If drivers search for parking spaces manually while driving, then drivers can find parking spaces, but driver distraction and accident risk increase
Solution Approach 1:
The system enables self-service parking space identification by using multiple vehicles to automatically capture, upload, and process images of parking areas. The server automatically constructs fusion images and identifies free parking spaces without requiring driver intervention, allowing the system to serve itself and drivers simultaneously.
Solution Approach 2:
The system performs preliminary actions by having vehicles capture and upload parking area images before the driver needs to find a parking space. The server pre-processes these images, constructs fusion images, and identifies available parking spaces in advance, so that when a driver needs parking, the information is already prepared and ready for immediate use.
2Measurement precision
If multiple vehicles capture images and construct fusion images, then parking space identification accuracy improves, but system complexity increases
Solution Approach 1:
The server performs multiple functions within a single system: receiving images from multiple vehicles, constructing fusion images, identifying parking spaces, and providing location information. This multi-functional approach consolidates complexity into a centralized server rather than distributing it across multiple devices.
Solution Approach 2:
The server acts as an intermediary between multiple vehicles and the driver's navigation system. It receives data from multiple vehicles, processes it through image fusion and analysis, and delivers consolidated parking space information to drivers, simplifying the overall system architecture by centralizing the complex processing tasks.
3Productivity
If real-time image fusion and processing is performed, then parking space information is readily available, but processing time and computational resources increase
Solution Approach 1:
The system uses periodic action by setting a preset duration window for collecting images from multiple vehicles. Images within this time window are processed together in batches, allowing the server to periodically construct fusion images and identify parking spaces rather than processing each image immediately, thus balancing real-time availability with processing efficiency.
Data Source
AI summary
A method for identifying parking space includes: receiving a plurality of images of a parking area and a coordinate of a shooting point of each of the plurality of images, wherein a maximum shooting time difference of the plurality of images being within the preset duration; constructing a fusion image of the parking area based on the plurality of images; determining a free parking space based on the fusion image, and determining location information of the free parking space based on the coordinate of the shooting point of each of the plurality of images. By fusing multiple images of the parking area, the fusion image containing the plurality of images of the parking area can be obtained, to identify the parking space and improve the availability and reliability of the fusion image. A system for identifying parking space and an electronic device are also provided.