Single-Camera Flying Object Position Estimation by Type Updating
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Solution Overview
Problem
Existing position estimation systems require multiple imaging devices to determine the position of a flying object, which can be impractical and costly.
Innovation Solution
A position estimation device that uses a single imaging device to acquire multiple images, provisionally sets the type of the flying object, specifies a target image group, estimates distance and area changes, calculates speed, updates the object type, and predicts future positions using a single imaging device.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple imaging devices are used to estimate the position of a flying object, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The patent transitions from two-dimensional image plane analysis to three-dimensional space reconstruction by utilizing temporal dimension (multiple images over time) and depth information derivation. The system estimates distance in the depth direction by analyzing area changes and motion patterns across multiple time points, enabling 3D position estimation from 2D image sequences captured by a single device.
Solution Approach 2:
The system changes the parameter of using multiple spatial devices to using temporal sequences with a single device. By capturing multiple images over time and analyzing parameter changes such as area variation, position displacement, and motion patterns, the system derives depth and distance information that would traditionally require multiple simultaneous imaging devices.
2Measurement precision
If multiple imaging devices are used to estimate the position of a flying object, then measurement precision is improved, but cost increases
Solution Approach 1:
A single imaging device performs multiple functions: capturing images for 2D position analysis, deriving depth information through temporal area change analysis, tracking motion patterns, and reconstructing 3D position. This multi-functional approach replaces the need for multiple specialized devices, reducing quantity while maintaining measurement precision.
3Measurement precision
If iterative processing is performed to update flying object type, then measurement precision is improved, but loss of time increases
Solution Approach 1:
The system performs preliminary provisional classification of the flying object type based on initial image analysis. This preliminary action provides a starting point for iterative refinement, reducing the search space and enabling faster convergence compared to starting from scratch in each iteration.
Solution Approach 2:
The system uses feedback from area change rates, position displacement, and motion patterns to iteratively refine the flying object type classification. Each iteration uses the results of the previous iteration to improve precision, with the feedback loop continuing until a predetermined criterion is satisfied, balancing accuracy with processing time.
Data Source
AI summary
A position estimation device (10) includes an image acquisition unit (110) and a position estimation unit (120). The image acquisition unit (110) acquires a plurality of images generated by an imaging device that images a target space that is a space in which a flying object flies. The position estimation unit (120) estimates a position of the flying object by processing the plurality of images. The position estimation unit (120) provisionally sets a type of the flying object and estimates a distance to the flying object and a speed. Then, the position estimation unit (120) updates the type of the flying object by using the speed and a change rate in an area of the flying object in the image. The position estimation unit (120) repeats the processing.