Unmanned aerial vehicle omni-directional avoidance device based on artificial intelligence

A technology of artificial intelligence and drones, applied in the field of drones, can solve problems such as high synchronization requirements of drones, poor shooting image effects, unstable image transmission, etc., to improve clarity, speed up efficiency, and save broadband resources Effect

Inactive Publication Date: 2019-08-20
HARBIN UNIV OF SCI & TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, most of the modern UAVs have poor reactions when conducting reconnaissance and avoiding buildings during the work process.
UAVs in the prior art still have the following defects, 1: image transmission is unstable, and the effect of shooting images is poor; 2: flexible avoidance cannot be performed; 3: power consumption is relatively large during image transmission; 4: UAVs have high requirements for synchronization

Method used

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  • Unmanned aerial vehicle omni-directional avoidance device based on artificial intelligence
  • Unmanned aerial vehicle omni-directional avoidance device based on artificial intelligence
  • Unmanned aerial vehicle omni-directional avoidance device based on artificial intelligence

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Embodiment

[0026] Such as Figure 1-4 As shown, the present invention provides a kind of artificial intelligence-based unmanned aerial vehicle all-round avoidance device, comprises general controller 1 and COFDM modulation 2, and the both sides of described general controller 1 are respectively connected with driver 5 by conducting wire 3 and signal line 4 Link to the ultrasonic transmitter 6, the ultrasonic transmitter 6 is fixedly connected to one side of the rear fixing seat 7 by threads, the end 8 of the ultrasonic transmitter 6 is provided with a transmission port 9, and the COFDM modulation 2 receives the image Compression encoding 10 signal, the image compression encoding 10 receives the image signal transmitted by the camera 11, the COFDM modulation 2 simultaneously receives the image decompression code 12 signal, the image decompression code 12 receives the image processing and identification 13 signal transmission, the COFDM modulation 2 transmits the signal to the despreading ...

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Abstract

The invention provides an unmanned aerial vehicle omni-directional avoidance device based on artificial intelligence. The device comprises a master controller and COFDM modulation. The two sides of the master controller are connected with the driver and the ultrasonic transmitter through wires and signal lines respectively. The ultrasonic transmitter is fixedly connected to one side of the rear fixing base through threads. A transmitting port is formed in the end part of the ultrasonic transmitter. The COFDM receives an image compression coding signal. The image compression code receives an image signal transmitted by the camera. Two ends of the COFDM modulator are respectively connected with the serial-parallel converter and the A / D converter. According to the device, in image and other information transmission, by encoding video information and performing multi-segment compression and hierarchical decoding, the video transmission efficiency can be improved, the image transmission stability during unmanned aerial vehicle detection can be improved, and the overall device, the image transmission rate, the definition after image transmission and the avoidance signal transmission efficiency are better than those of a traditional mode.

Description

technical field [0001] The invention relates to the technical field of unmanned aerial vehicles, in particular to an artificial intelligence-based omnidirectional avoidance device for unmanned aerial vehicles. Background technique [0002] With the development of modern science and technology, UAVs are widely used and involve various fields. UAV-based aircrafts have received widespread attention, and most of them are used in aerial photography, electric power, security, agriculture, forest fire prevention, etc. However, most of the modern UAVs have poor response when conducting reconnaissance and avoiding buildings during work. UAVs in the prior art still have the following defects, 1: image transmission is unstable, and the effect of shooting images is poor; 2: flexible avoidance cannot be performed; 3: power consumption is relatively large during image transmission; 4: UAVs have high requirements for synchronization. [0003] For this reason, an artificial intelligence-b...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04N19/85H04N19/70H04L27/26H04B1/69G05D1/10
CPCG05D1/101H04B1/69H04L27/2627H04N19/70H04N19/85
Inventor 周封谭晓东卢松恒
Owner HARBIN UNIV OF SCI & TECH
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