Rotor unmanned aerial vehicle automatic cruise method and system based on deep learning

An unmanned rotor, deep learning technology, applied in control/regulation systems, navigation calculation tools, non-electric variable control and other directions, can solve the problems of planning dependence, obstacle avoidance failure, inaccurate detection, etc., to save manpower and facilitate management Effect

Inactive Publication Date: 2016-11-30
NANJING UNIV OF POSTS & TELECOMM
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Problems solved by technology

The obstacle avoidance method adopted by this system is single. When the UAV is flying in a complex and dense environment, the ultrasonic signal will be weakened due to the multiple reflections of the ultrasonic wave, making the detection inaccurate and the obstacle avoidance failure.
[0004] The invention patent of "A Method and Device for Obstacle Avoidance of UAV

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  • Rotor unmanned aerial vehicle automatic cruise method and system based on deep learning
  • Rotor unmanned aerial vehicle automatic cruise method and system based on deep learning
  • Rotor unmanned aerial vehicle automatic cruise method and system based on deep learning

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[0040] The technical solutions of the present invention will be further described in detail below in conjunction with the drawings and specific embodiments:

[0041] The invention designed an automatic cruise system for rotary-wing drones based on deep learning, such as figure 1 As shown, it includes an image acquisition module, an ultrasonic distance detection module, an obstacle recognition module based on deep learning, a flight control module, and a positioning module based on Beidou satellites. The image acquisition module is used to collect real-time images of the flight environment of the rotor drone; the ultrasonic distance detection module is used to detect whether there are obstacles around the rotor drone and the distance to the obstacle; obstacle recognition based on deep learning The module is used to complete the identification of long-term unchanging obstacles; the flight control module realizes the control of the flight status of the drone; the positioning module b...

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Abstract

The present invention discloses a rotor unmanned aerial vehicle automatic cruise method and system based on deep learning. The method can avoid barriers along the line based on the deep learning, namely add eyes for the unmanned aerial vehicle to assist in the ultrasonic ranging method and timely avoid the barriers in the close range. The system comprises an image collection module, a barrier identification module, an ultrasonic wave distance detection module, a flight control module and a location module based on a Beidou satellite. The rotor unmanned aerial vehicle automatic cruise method and system based on deep learning are especially suitable for the logistics system and can realize the point-to-point unmanned aerial vehicle automatic cargo transport function so as to greatly save the manpower.

Description

technical field [0001] The invention relates to a deep learning-based automatic cruising method and system for a rotor unmanned aerial vehicle, belonging to the field of unmanned aerial vehicle automatic cruising. Background technique [0002] UAV automatic cruising refers to a system in which the UAV automatically plans the route and finds the destination under the condition of a given destination. The planning of the flight route of the UAV uses the visual sensing technology based on deep learning to identify objects that remain unchanged for a long time during the navigation process, and after multiple trainings, the automatic cruising of the UAV is realized. [0003] The invention patent of "UAV obstacle avoidance system and control method based on ultrasonic distance detection" is to use ultrasonic detection technology to detect obstacles in the flying environment of UAVs, and cooperate with specific obstacle avoidance algorithms to achieve the purpose of obstacle avoid...

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Application Information

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IPC IPC(8): G05D1/10G01C21/20
CPCG05D1/101G01C21/20
Inventor 覃婷婷王殷浩成孝刚谢世朋周凯汪涛李海波
Owner NANJING UNIV OF POSTS & TELECOMM
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