High-precision target identification and detection method under grid background

A detection method and high-precision technology, applied in the field of computer vision, can solve problems such as color interference, poor anti-sunlight performance, and inability to accurately calculate the distance between the UAV and the target landing net, and achieve the effect of high-precision calculation
CN110210295AActive Publication Date: 2019-09-06BEIJING INSTITUTE OF TECHNOLOGYGY
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
BEIJING INSTITUTE OF TECHNOLOGYGY
Publication Date
2019-09-06

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Abstract

The invention discloses a high-precision target identification and detection method under a grid background. By using the method, the real-time and high-precision identification of the target under the grid background can be realized, and reliable visual navigation information is provided for the net collision recovery of the unmanned aerial vehicle. The method comprises the following steps: firstly, designing a target; updating an algorithm based on a gradient search threshold value and an optimal threshold value; obtaining an appropriate binarization threshold value; realizing target identification under a netted background by using morphological filtering and a coarse and fine contour screening algorithm. Meanwhile, in order to realize real-time detection, algorithm acceleration is realized by adopting a mode of generating an interested area and downsampling, and position resolving information is provided for navigation by adopting an image processing mode in a net collision recovery process of the unmanned aerial vehicle, so that the unmanned aerial vehicle can realize an autonomous recovery function.
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Description

technical field

[0001] The invention relates to the technical field of computer vision, in particular to a high-precision target recognition and detection method under a grid background. Background technique

[0002] With the continuous development of UAV technology, the self-recovery methods of fixed-wing UAVs mainly include aerial hooking, parachute recovery, net and rope recovery, airbag shock recovery and recoil rocket recovery. Among them, the recovery of the collision net can reduce the damage to the airframe and airborne equipment caused by the gust of wind and the impact on the ground. Large oil volume, prolong battery life. At present, the visual guidance method is mainly used to realize the collision recovery. The reliability and accuracy of the visual guidance part play a decisive role in the collision recovery. The existing visual recognition methods in the collision recovery process have the following problems to be solved:

[0003] (1) The simple centering al...

Claims

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