Visual identification system applied to unmanned aerial vehicle for target tracking and locking
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A visual recognition and UAV technology, applied in the field of visual recognition system, can solve the problems of restricting the development of UAV, low degree of automation, unstable flight, etc., and achieve the effect of superior real-time tracking performance, high degree of automation, and easy operation.
Inactive Publication Date: 2019-06-14
智飞智能装备科技东台有限公司
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[0003] However, currently commonly used UAVs require manual remote control.
Its operation is difficult, the degree of automation is low, and the flight is unstable
These all limit the development of drones in the above-mentioned civilian fields
At the same time, many laboratories and universities have research projects on rotor drones, but it is still a challenge to develop fully autonomous flight in complex environments
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[0018] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.
[0019] see Figure 1-Figure 4 A visual recognition system for drones to track and lock targets is shown, including a ground control platform S1 and a drone tracker S2. Ground control platform S1 is composed of flight control software, data transmission module and video display interface. The UAV tracker is composed of microprocessor, FPGA, positioning module, airborne sensor, intelligent vision module, flight control module, and data transmission module. The configuration and functions of the ground control platform S1 and the UAV tracker S2 are described in detail below.
[0020] In this embodi...
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Abstract
The invention relates to a visual identification system applied to an unmanned aerial vehicle for target tracking and locking. The system comprises a ground control platform and an unmanned aerial vehicle tracker, wherein the ground control platform comprises flight control software, a data transmission module and a video display interface; and the unmanned aerial vehicle tracker comprises a microprocessor, an FPGA, a positioning module, an airborne sensor, an intelligent vision module, a flight control module and a data transmission module. According to the system, a target tracking instruction is sent through the ground control platform, the unmanned aerial vehicle tracker automatically identifies the position of a target in an image coordinate system of images collected by the intelligent vision module by the adoption of an HOG characteristic and SVM combined rapid target detection algorithm after receiving the target tracking instruction, data of the positioning module and the airborne sensor is read, target moving images are issued to the ground control platform, and therefore automatic visual tracking of the moving target is realized. The system is high in automatic degree, easy to operate, high in precision and excellent in real-time tracking performance, and spatial coordinates are digitalized.
Description
technical field [0001] The invention relates to the technical field of drones, in particular to a visual recognition system for tracking and locking targets of drones. Background technique [0002] In the civilian field, UAVs can be used for various monitoring, monitoring, inspection, search and rescue, photography, surveying and mapping, investigation and investigation. Such as environmental monitoring, disaster monitoring, traffic road monitoring, border patrol and control, drug embargo, agricultural survey, large pasture patrol, urban surveillance and aerial photography, etc. In actual use, UAVs are often faced with the need to track low-speed targets. These requirements come from illegal vehicles in traffic control, specific athletes in sports photography, intrusion objects in security monitoring, injured animals in wildlife protection, etc. [0003] However, currently commonly used drones all require manual remote control. Its operation is difficult, the degree of aut...
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