Multi-Camera Scene Positioning for Accurate UAV Navigation
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Solution Overview
Problem
Current positioning systems face challenges in accurately determining the position of a target scene using a single camera, often resulting in low accuracy, which can hinder the effective navigation of detection equipment such as UAVs to the scene.
Innovation Solution
The system employs multiple cameras capturing images of the same target scene from different perspectives, determining positions based on deviation directions and angles, and designates the intersection of these directions as the scene's position, with the ability to update using visual navigation for improved accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a single camera is used for positioning, then the device complexity is reduced, but the positioning accuracy deteriorates
Solution Approach 1:
The patent combines multiple cameras to form a positioning system that determines target position through triangulation. Multiple cameras capture images of the same target from different positions, and the system merges this multi-perspective data to calculate accurate position coordinates, thereby improving positioning accuracy while maintaining manageable system complexity through integrated processing.
Solution Approach 2:
The patent transitions from single-camera two-dimensional imaging to multi-camera three-dimensional positioning. By adding the spatial dimension of multiple camera positions, the system enables triangulation calculation that determines precise target coordinates in three-dimensional space, significantly enhancing positioning accuracy beyond what a single camera can achieve.
2Measurement precision
If multiple cameras are used for positioning, then the positioning accuracy is improved, but the device complexity increases
Solution Approach 1:
The patent designs the camera system where each camera serves multiple functions: capturing target images for positioning, providing spatial reference points, and contributing to triangulation calculations. This multi-functionality allows the system to achieve high positioning accuracy with a relatively simple camera configuration, as each camera unit performs several roles simultaneously rather than requiring specialized components for each function.
Solution Approach 2:
The positioning system uses the cameras themselves as both the measuring instruments and the reference objects for measurement. The cameras capture images of targets and simultaneously provide their own position information as reference points for triangulation. This self-service approach eliminates the need for separate reference measurement systems, reducing overall system complexity while maintaining high positioning accuracy.
3Device complexity
If single-camera positioning is used, then the system simplicity is maintained, but the detection and response efficiency deteriorates
Solution Approach 1:
The patent implements preliminary positioning using multiple cameras to determine target position coordinates before detection equipment needs to respond. The system pre-calculates position information through triangulation based on multi-camera images, so when detection or response actions are required, the target location is already known with high accuracy, significantly improving response efficiency without requiring complex real-time tracking during the response phase.
Data Source
AI summary
The present disclosure may provide a system for positioning a target scene and/or navigating a detection equipment to the target scene. The system may obtain at least one image captured by at least one camera. The at least one image may include the target scene. The system may also determine a position of the target scene based on the at least one image. Further, the system may plan a travelling route for a detection equipment to the target scene based on the position of the target scene.