Unmanned aerial vehicle intelligent cruise road surface disease detection method, unmanned aerial vehicle and detection system

A detection method and unmanned aerial vehicle technology, applied in neural learning methods, unmanned aircraft, motor vehicles, etc., to achieve the effect of automatic intelligent flight, strong developability, and strong operability

Pending Publication Date: 2021-02-05
BESTDR INFRASTRUCTURE HOSPITAL (PINGYU) +1
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, this method still requires manual control of the UAV, and it is impossible to make the UAV fly automatically by planning routes or intelligent tracking.

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  • Unmanned aerial vehicle intelligent cruise road surface disease detection method, unmanned aerial vehicle and detection system
  • Unmanned aerial vehicle intelligent cruise road surface disease detection method, unmanned aerial vehicle and detection system
  • Unmanned aerial vehicle intelligent cruise road surface disease detection method, unmanned aerial vehicle and detection system

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Embodiment Construction

[0034] In order to make the object, technical solution and effect of the present invention more clear and definite, the present invention will be further described in detail below with reference to the accompanying drawings and examples. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0035] It is to be understood by those skilled in the art that the foregoing general description and the following detailed description are exemplary and illustrative specific embodiments of the invention and are not intended to be limiting of the invention.

[0036] Herein the terms "comprises", "comprising" or any other variation thereof are intended to cover a non-exclusive inclusion such that a process or method comprising a list of steps includes not only those steps, but may include steps not expressly listed or inherent in such process or method other steps. Likewise, one or more equ...

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Abstract

The invention relates to road disease detection, and particularly relates to an unmanned aerial vehicle intelligent cruise road surface disease detection method, an unmanned aerial vehicle and a detection system. According to the unmanned aerial vehicle intelligent cruise road surface disease detection method based on deep learning, a road surface disease detection model based on a deep learning network and a road recognition model are arranged in an unmanned aerial vehicle. The detection method specifically comprises the steps that the unmanned aerial vehicle flies automatically on an actualroad surface determined by the road recognition model according to a preset route; and a road surface disease detection result is acquired in real time through the road surface disease detection model. The road recognition model and the road surface disease detection model based on the deep learning network are adopted, automatic cruise and automatic road surface disease detection can be achieved,automatic cruise detection can be achieved only by setting a preset route or a preset area range, and convenience and rapidness are achieved.

Description

technical field [0001] The invention relates to road disease detection, in particular to a road surface disease detection method for intelligent cruising of an unmanned aerial vehicle, an unmanned aerial vehicle and a detection system. Background technique [0002] Since 2016, the technical conditions of unmanned aerial vehicles have been continuously improved and matured, and they have been widely used in agriculture, engineering, military and other fields. A hot area for the development of drones, this technology can further improve the safety, efficiency and automation of drones, and provide a strong guarantee for the intelligent detection tasks of drones. [0003] The patent document with the application number 201911120174.0 discloses a method for locating highway pavement defects based on drones. This method uses the Beidou satellite positioning and navigation system to control the drone, and uses the improved DPM model to identify and collect images of road surface de...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01N21/95G01N21/88G06N3/04G06N3/08B64C39/02
CPCG01N21/9515G01N21/8851G06N3/08B64C39/02G01N2021/9518G01N2021/8887G06N3/045G06V20/17G06V20/182G06V10/98B64U2101/30B64U2201/10G06V20/176G06V20/588B64C39/024B64U10/13
Inventor 方宏远马铎王念念张娟董家修薛冰寒胡浩邦雷建伟
Owner BESTDR INFRASTRUCTURE HOSPITAL (PINGYU)
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