Vehicle Image-Based Parking State Detection for Towing Alerts
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Solution Overview
Problem
Existing vehicle sensors face issues with erroneous detection during parking due to sensitivity, shadows, and other factors, leading to inaccuracies in determining the vehicle's state.
Innovation Solution
A vehicular electronic device performs image processing procedures including grid-type image segmentation, contour detection, and image subtraction to enhance the accuracy of determining the vehicle's towing or parking state, compensating for sensor errors with image-based detection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If sensors are utilized to detect vehicle state during parking, then detection function is provided, but erroneous detection occurs due to sensor sensitivity, shadows, and other factors
Solution Approach 1:
The patent introduces an intermediary image processing system that acts as a mediator between the sensor detection and the final vehicle state determination. The image processing unit captures visual data and processes it through multiple algorithms (grid segmentation, contour detection, image subtraction) to verify and complement sensor readings, thereby reducing erroneous detections caused by sensor limitations such as sensitivity issues and shadow interference.
Solution Approach 2:
The patent replaces the reliance on purely mechanical/electrical sensors with an optical-based image processing system. By substituting sensor-based detection with computer vision techniques (capturing images, performing grid segmentation, contour detection, and image subtraction), the system achieves more reliable vehicle state detection that is not susceptible to sensor sensitivity problems, shadow effects, or electrical interference.
2Measurement precision
If image processing procedures are performed to improve detection accuracy, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The patent applies segmentation by dividing the image processing task into distinct modular components: grid-type segmentation that divides the image into cells, contour detection that identifies object boundaries, and image subtraction that compares frames. This segmentation of the processing pipeline makes the complex system more manageable and allows each component to be optimized independently while maintaining overall detection precision.
Solution Approach 2:
The image processing unit is designed to perform multiple functions using a single integrated system. The same processing unit executes grid segmentation, contour detection, image subtraction, and vehicle state determination, making the system universal and reducing the need for separate dedicated hardware for each function, thereby managing complexity while maintaining high measurement precision.
3Measurement precision
If grid-type image segmentation and multiple processing steps are used, then detection accuracy is improved, but processing time increases
Solution Approach 1:
The patent applies preliminary action by performing grid-type segmentation and identifying key features (contours, cells) before the actual vehicle state determination. By pre-processing the image into structured grids and identifying important regions in advance, the system reduces the computational burden during the critical decision-making phase, thereby maintaining high detection accuracy while managing processing time more efficiently.
Solution Approach 2:
The patent implements skipping by selectively processing only the most relevant image regions and features. Instead of analyzing every pixel uniformly, the system skips to key areas identified through contour detection and grid segmentation, performing image subtraction and state determination only on critical regions. This rushed-through approach to processing maintains precision while significantly reducing overall processing time.
Data Source
AI summary
The disclosure proposes a method and device for providing notification regarding vehicle state based on image processing/reading, in relation to a method for notifying vehicle state based on GPS and acceleration sensors or G sensors, and a device using the method.