Affiliation:
1. College of Artificial Intelligence, Yango University, Fuzhou 350015, Fujian, China
2. Fifty-four Research Institute of
China Electronics Technology Group, Shijiazhuang 050000 Hebei, China
Abstract
Background:
Positioning accuracy is the most important index of the reconnaissance
positioning system. Positioning accuracy involves many factors, such as the position, attitude and
motion state of the flight platform, the pointing accuracy of the stable platform, and various coordinate
transformations. A reasonable fusion strategy can guarantee stable positioning accuracy, so it is
very important to study the precise fusion of machine vision, 3D geographic data and UAV airborne
positioning information to realize the optimal combination of positioning data and complete the accurate
and rapid positioning of the ground target.
Methods:
In this paper, a location model based on stereo vision and spatial information fusion
method is proposed. It fully integrates visual information, satellite positioning information and spatial
geographic information, greatly improves positioning accuracy, and through a real-time processing
algorithm, significantly improves real-time positioning.
Results:
Through the related experiments, positioning accuracy and real-time ability of positioning
could reach about three meters.
Conclusion:
The proposed real-time and high-precision positioning method of the ground target
through UAV stereo vision and spatial information fusion is proposed showing significant improvement
compared to other traditional methods.
Publisher
Bentham Science Publishers Ltd.
Subject
Electrical and Electronic Engineering,Electronic, Optical and Magnetic Materials