Obstructive Object Detection in UAV Imaging via Template Matching
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing image processing systems for movable objects, such as UAVs, face challenges in accurately processing images when obstructive objects block the imaging devices, leading to inefficiencies in navigation, obstacle avoidance, and target tracking.
Innovation Solution
The method involves acquiring images from imaging devices partially blocked by obstructive objects and using a template to detect the obstructive objects' projected locations, allowing for efficient and accurate image processing by identifying and processing these obstructions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional image processing methods are used without considering obstructive objects, then the processing is simpler and faster, but the accuracy of navigation, obstacle avoidance, and target tracking deteriorates
Solution Approach 1:
The patent applies preliminary action by pre-defining template locations where obstructive objects are expected to appear in images. The template matching process is prepared in advance with known patterns of obstructive objects (such as propeller blades), allowing the system to quickly identify and correct for these obstructions during image processing without complex real-time analysis
Solution Approach 2:
The patent uses copying by creating template representations of obstructive objects based on their expected appearance and position. These templates are copied and applied across multiple images to detect and correct obstructions systematically, replacing the need for complex individual analysis of each obstructive object in every image
2Reliability
If the imaging device is positioned to avoid obstructive objects, then image quality improves, but the design flexibility and compactness of the movable object deteriorates
Solution Approach 1:
The patent extracts the obstructive objects (such as propeller blades) from the image processing problem by identifying their specific locations and characteristics. Instead of repositioning the imaging device to avoid these objects, the system extracts and removes their influence through template matching and selective image processing, allowing the imaging device to remain in its optimal position
Solution Approach 2:
The patent introduces an intermediary processing step between image capture and final analysis. The template matching algorithm acts as an intermediary that mediates the presence of obstructive objects, allowing the system to work with images captured from fixed positions while correcting for obstructions through computational methods
3Measurement precision
If template matching is applied to detect obstructive objects, then the accuracy of obstacle detection improves, but the processing time increases
Solution Approach 1:
The patent applies local quality by focusing template matching only on specific regions of the image where obstructive objects are expected to appear, rather than analyzing the entire image. This localized approach maintains high detection accuracy for obstructive objects while minimizing the overall processing time by ignoring irrelevant areas
Data Source
AI summary
A method for supporting image processing for a movable object includes acquiring one or more images captured by an imaging device borne by the movable object. The imaging device is at least partially blocked by an obstructive object attached to the movable object. The method further includes applying a template to the one or more images to obtain one or more projected locations of the obstructive object within the one or more images and detecting at least portion of the obstructive object at the one or more projected locations within the one or more images.