Controller for Drone Distance Camera Calibration
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Solution Overview
Problem
Existing systems for unmanned moving bodies, such as drones, face challenges in accurately calculating the relative position of obstacles detected by multiple distance measuring cameras, as these cameras often deviate from their calibrated positions due to environmental changes and physical stress, making it difficult to perform effective calibration.
Innovation Solution
A controller that acquires image data from an imaging camera and calculates the relative position of obstacles detected by multiple distance measuring cameras, using feature points and synchronization to calibrate and correct the positional relationships between these cameras, allowing for accurate obstacle detection and avoidance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple distance measuring cameras are provided in the moving body, then the position of obstacles can be specified accurately by correcting deviation, but the complexity of calculating relative positions increases
Solution Approach 1:
The patent introduces an imaging camera as an intermediary device to capture images of the same subject that is detected by multiple distance measuring cameras. This imaging camera serves as a mediator to establish correspondence relationships between the subjects detected by different distance measuring cameras, thereby enabling accurate relative position calculation without directly complex inter-camera coordinate transformations.
Solution Approach 2:
The patent creates a visual copy of the subject through the imaging camera that captures an image containing the same subject detected by multiple distance measuring cameras. This image copy serves as a reference to determine correspondence relationships between subjects in different distance measuring camera views, simplifying the relative position calculation process.
2Measurement precision
If distance measuring cameras are calibrated initially, then accurate obstacle detection is achieved, but environmental changes and physical stress cause calibration deviations over time
Solution Approach 1:
The patent implements a feedback mechanism where the system continuously captures images with the imaging camera, detects subjects in these images, and recalculates the relative positions of distance measuring cameras based on the detected subjects. This continuous feedback loop allows the system to automatically correct calibration deviations caused by environmental changes and physical stress, maintaining reliable obstacle detection accuracy over time.
Data Source
AI summary
A controller includes an acquisition unit that acquires image data captured by an imaging device for photographing disposed in a moving body, and a calculation unit that calculates a relative position of a position of a subject, which is detected by a plurality of distance-measuring imaging devices provided in the moving body, based on the subject included in the image data.