CN111443716A - Unmanned aerial vehicle inspection control method, system, storage medium, program and terminal - Google Patents
Unmanned aerial vehicle inspection control method, system, storage medium, program and terminal Download PDFInfo
- Publication number
- CN111443716A CN111443716A CN202010326040.0A CN202010326040A CN111443716A CN 111443716 A CN111443716 A CN 111443716A CN 202010326040 A CN202010326040 A CN 202010326040A CN 111443716 A CN111443716 A CN 111443716A
- Authority
- CN
- China
- Prior art keywords
- aerial vehicle
- unmanned aerial
- highway
- illegal driving
- road condition
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000007689 inspection Methods 0.000 title claims abstract description 48
- 238000000034 method Methods 0.000 title claims abstract description 32
- 230000006399 behavior Effects 0.000 claims abstract description 64
- 230000004888 barrier function Effects 0.000 claims description 6
- 230000011218 segmentation Effects 0.000 claims description 5
- 238000004458 analytical method Methods 0.000 claims description 4
- 238000004590 computer program Methods 0.000 claims description 4
- 238000013500 data storage Methods 0.000 claims description 4
- 210000001503 joint Anatomy 0.000 claims description 4
- 238000012544 monitoring process Methods 0.000 abstract description 17
- 230000007547 defect Effects 0.000 abstract description 6
- 239000000463 material Substances 0.000 abstract description 6
- 230000008569 process Effects 0.000 abstract description 4
- 238000013135 deep learning Methods 0.000 description 4
- 241001622623 Coeliadinae Species 0.000 description 3
- 238000010586 diagram Methods 0.000 description 3
- 238000003491 array Methods 0.000 description 2
- 230000003203 everyday effect Effects 0.000 description 2
- 238000004321 preservation Methods 0.000 description 2
- 238000013459 approach Methods 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 230000008092 positive effect Effects 0.000 description 1
- 239000004065 semiconductor Substances 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
- G05D1/00—Control of position, course, altitude or attitude of land, water, air or space vehicles, e.g. using automatic pilots
- G05D1/02—Control of position or course in two dimensions
- G05D1/021—Control of position or course in two dimensions specially adapted to land vehicles
- G05D1/0231—Control of position or course in two dimensions specially adapted to land vehicles using optical position detecting means
- G05D1/0246—Control of position or course in two dimensions specially adapted to land vehicles using optical position detecting means using a video camera in combination with image processing means
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
- G05D1/00—Control of position, course, altitude or attitude of land, water, air or space vehicles, e.g. using automatic pilots
- G05D1/02—Control of position or course in two dimensions
- G05D1/021—Control of position or course in two dimensions specially adapted to land vehicles
- G05D1/0212—Control of position or course in two dimensions specially adapted to land vehicles with means for defining a desired trajectory
- G05D1/0214—Control of position or course in two dimensions specially adapted to land vehicles with means for defining a desired trajectory in accordance with safety or protection criteria, e.g. avoiding hazardous areas
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
- G05D1/00—Control of position, course, altitude or attitude of land, water, air or space vehicles, e.g. using automatic pilots
- G05D1/02—Control of position or course in two dimensions
- G05D1/021—Control of position or course in two dimensions specially adapted to land vehicles
- G05D1/0212—Control of position or course in two dimensions specially adapted to land vehicles with means for defining a desired trajectory
- G05D1/0221—Control of position or course in two dimensions specially adapted to land vehicles with means for defining a desired trajectory involving a learning process
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
- G05D1/00—Control of position, course, altitude or attitude of land, water, air or space vehicles, e.g. using automatic pilots
- G05D1/02—Control of position or course in two dimensions
- G05D1/021—Control of position or course in two dimensions specially adapted to land vehicles
- G05D1/0212—Control of position or course in two dimensions specially adapted to land vehicles with means for defining a desired trajectory
- G05D1/0223—Control of position or course in two dimensions specially adapted to land vehicles with means for defining a desired trajectory involving speed control of the vehicle
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
- G05D1/00—Control of position, course, altitude or attitude of land, water, air or space vehicles, e.g. using automatic pilots
- G05D1/02—Control of position or course in two dimensions
- G05D1/021—Control of position or course in two dimensions specially adapted to land vehicles
- G05D1/0212—Control of position or course in two dimensions specially adapted to land vehicles with means for defining a desired trajectory
- G05D1/0225—Control of position or course in two dimensions specially adapted to land vehicles with means for defining a desired trajectory involving docking at a fixed facility, e.g. base station or loading bay
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
- G05D1/00—Control of position, course, altitude or attitude of land, water, air or space vehicles, e.g. using automatic pilots
- G05D1/02—Control of position or course in two dimensions
- G05D1/021—Control of position or course in two dimensions specially adapted to land vehicles
- G05D1/0276—Control of position or course in two dimensions specially adapted to land vehicles using signals provided by a source external to the vehicle
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Aviation & Aerospace Engineering (AREA)
- Radar, Positioning & Navigation (AREA)
- Remote Sensing (AREA)
- General Physics & Mathematics (AREA)
- Automation & Control Theory (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Multimedia (AREA)
- Electromagnetism (AREA)
- Traffic Control Systems (AREA)
Abstract
The invention belongs to the technical field of driving safety monitoring, and discloses an unmanned aerial vehicle inspection control method, a system, a storage medium, a program and a terminal, wherein a flight route of the unmanned aerial vehicle is edited, and the program identifies an image and adjusts a hanging cabin angle to enable a highway to be positioned in the center of a picture; automatically identifying lane lines and objects in the highway, and analyzing and finding illegal driving behaviors and road condition potential safety hazards in the lane lines and the objects; automatically capturing the license plate of the illegal driving behavior with evidence, and carrying out voice prompt on the potential safety hazard of road conditions; and displaying the highway road condition and illegal driving behavior information in real time. The whole process of the invention is controlled by adopting a program, and the intelligent identification control algorithm is combined, so that the traditional manpower inspection mode is completely replaced, the inspection hidden danger is reduced, the consumption of manpower, material resources and financial resources is saved, the inspection efficiency is improved, and more illegal events can be processed; meanwhile, the defect that fixed blind areas exist in bayonet equipment monitoring is overcome.
Description
Technical Field
The invention belongs to the technical field of driving safety monitoring, and particularly relates to an unmanned aerial vehicle inspection control method, an unmanned aerial vehicle inspection control system, a storage medium, a program and a terminal.
Background
At present, a reasonable monitoring mode is a main mode for guaranteeing the driving safety of the highway, and the monitoring mode of the driving of the highway at the present stage mainly combines the monitoring of a specific place by a fixed buckle device and the flowing monitoring of manual patrol.
In the prior art, a patrol inspection mode for highway driving safety is mainly based on manual patrol, namely, a batch of policemen are assigned to patrol a certain road section in a specific time period every day, illegal driving behaviors and road condition safety hazards are found, and corresponding evidence is obtained and processed.
The defects of the prior art I are as follows: 1. there is very big potential safety hazard: driving on the highway according to the regulation can guarantee driving safety, but according to the regulation mutually, especially for the policemen who patrols on the highway for a long time, the potential safety hazard increases in proportion. 2. The great consumption of manpower and material resources: for a section of highway with the length of 50 kilometers, 3-4 hours are needed for manually patrolling once, 4 times are needed every day, and 2 people are equipped with a police car every time. 3. The efficiency is low: for an illegal driving behavior, if an emergency lane is occupied, the field treatment of the policeman needs at least 10 minutes, and the time for other events is longer. 4. Certain events cannot be handled: for illegal driving behaviors such as speeding, manpower patrol cannot be performed without energy.
In the second prior art, the existing intelligent monitoring mode for highway driving is mainly fixed bayonet equipment, i.e. a bayonet camera is installed at a specific position to monitor the position in real time, and possible illegal driving behaviors at the position are found and evidence is obtained.
The defects of the prior art II are as follows: 1. there are a number of blind areas: the bayonet equipment can only discover and evidence illegal driving behaviors of the monitored position, but cannot do any more to other positions (dead zones of the bayonet cameras). 2. The bayonet device location is known: the position of various bayonet equipment can be accurately predicted by the aid of the multi-style navigation system, and driving personnel can avoid the bayonet equipment in a targeted manner, so that potential danger is caused.
Both monitoring approaches have their inherent drawbacks: the bayonet equipment can only monitor and evidence illegal driving behaviors in a specific place, an inherent blind area exists, and driving personnel can avoid the bayonet equipment in a targeted manner by combining the prompts of various navigation software; the manpower patrol needs to consume a large amount of manpower, material resources and financial resources, for example, for a section of 50 kilometers of highway, the manpower patrol needs 3-4 hours once, and particularly, the manpower patrol cannot be used for illegal driving behaviors such as speeding and the like.
Through the above analysis, the problems and defects of the prior art are as follows: (1) at present, the monitoring means has the problem that the bayonet equipment can only monitor and evidence illegal driving behaviors in a specific place, an inherent blind area exists, and driving personnel can avoid the bayonet equipment in a targeted manner by combining the prompting of various navigation software.
(2) At present, a large amount of manpower, material resources and financial resources are consumed for manual patrol in a monitoring means, for example, for a section of 50-kilometer long expressway, the manual patrol needs 3-4 hours once, and particularly, the manual patrol cannot be used for illegal driving behaviors such as speeding and the like.
Disclosure of Invention
Aiming at the problems in the prior art, the invention provides an unmanned aerial vehicle inspection control method, a system, a storage medium, a program and a terminal.
The invention is realized in this way, a method for controlling the inspection of the unmanned aerial vehicle comprises the following steps: editing the flight route of the unmanned aerial vehicle, identifying an image by a program and adjusting the angle of a hanging cabin to enable the expressway to be positioned in the center of a picture; automatically identifying lane lines and objects in the highway, and analyzing and finding illegal driving behaviors and road condition potential safety hazards in the lane lines and the objects; automatically capturing the license plate of the illegal driving behavior with evidence, and carrying out voice prompt on the potential safety hazard of road conditions; and simultaneously displaying the highway road condition and illegal driving behavior information in real time.
Further, the unmanned aerial vehicle inspection control method comprises the following steps:
the method comprises the steps that firstly, a flight route of an unmanned aerial vehicle is preset according to the route of a certain section of highway, the unmanned aerial vehicle takes off by one key and lands by one key, and the unmanned aerial vehicle flies autonomously along the preset flight route;
secondly, the unmanned aerial vehicle patrols at the speed of about 70km/h, and the program identifies images and adjusts the angle of a hanging cabin to enable the highway to be positioned in the center of a picture;
automatically identifying lane lines and objects in the expressway (adopting a deep learning target segmentation algorithm for the lane lines and a deep learning target monitoring algorithm for the objects), and analyzing and finding illegal driving behaviors and road condition potential safety hazards;
fourthly, automatically capturing license plates of illegal driving behaviors with evidences reserved, and carrying out voice prompt on potential safety hazards of road conditions;
fifthly, butting with a traffic police platform to display the highway road condition and illegal driving behavior information in real time; the system is in butt joint with a video display platform of a traffic police, the highway road condition and illegal driving behavior information of a road section is called out in real time, and meanwhile, historical flight data are stored in the platform.
Further, the objects of the third step include vehicles, pedestrians, obstacles; the illegal driving behaviors comprise that an emergency lane is occupied, and a truck occupies a passenger lane; the road condition potential safety hazard is road condition congestion and pedestrian obstacles.
Further, the third step is to use a target segmentation algorithm to segment each lane line in the highway, use a target recognition algorithm (a deep learning target segmentation algorithm is adopted for the lane lines, and a deep learning target monitoring algorithm is adopted for the objects) to recognize objects possibly existing on the highway, and combine the results with logic analysis (parameterization is carried out on each lane, each target has a coordinate position, whether a specific target is in a certain lane line is judged, so that the results are analyzed), so as to find illegal driving behaviors and road condition potential safety hazards.
Further, the illegal driving behaviors of the fourth step comprise occupying an emergency lane and a passenger lane occupied by a truck; the road conditions with the potential safety hazards comprise road condition congestion and pedestrian barriers.
It is another object of the present invention to provide a program storage medium for receiving user input, the stored computer program causing an electronic device to perform the steps comprising: editing the flight route of the unmanned aerial vehicle, identifying an image by a program and adjusting the angle of a hanging cabin to enable the expressway to be positioned in the center of a picture; automatically identifying lane lines and objects in the highway, and analyzing and finding illegal driving behaviors and road condition potential safety hazards in the lane lines and the objects; automatically capturing the license plate of the illegal driving behavior with evidence, and carrying out voice prompt on the potential safety hazard of road conditions; and displaying the highway road condition and illegal driving behavior information in real time.
Another object of the present invention is to provide a computer program product stored on a computer readable medium, including a computer readable program, for providing a user input interface to implement the unmanned aerial vehicle inspection control method when executed on an electronic device.
Another object of the present invention is to provide an inspection control system for an unmanned aerial vehicle, which implements the inspection control method for an unmanned aerial vehicle, the inspection control system for an unmanned aerial vehicle comprising:
the flight path setting module is used for presetting a flight path of the unmanned aerial vehicle according to the path of a certain section of expressway, enabling the unmanned aerial vehicle to take off by one key and land by one key, and flying autonomously along the preset flight path;
the program is an image module and is used for realizing the inspection of the unmanned aerial vehicle at the speed of 70km/h, and the program identifies the image and adjusts the angle of the hanging cabin to ensure that the highway is positioned in the center of the picture;
the automatic identification module is used for automatically identifying lane lines and objects in the expressway, analyzing and finding illegal driving behaviors and potential safety hazards of road conditions;
the automatic license plate snapshot module is used for automatically snapshot license plates of illegal driving behaviors with evidences reserved and carrying out voice prompt on potential safety hazards of road conditions;
the information display module is used for displaying the highway road condition and illegal driving behavior information in real time;
and the flight data storage module is used for calling out the highway road condition and illegal driving behavior information of the road section in real time and storing the historical flight data in the platform.
The invention also aims to provide a terminal, and the terminal is provided with the unmanned aerial vehicle inspection control system.
Another object of the present invention is to provide an unmanned aerial vehicle, wherein the unmanned aerial vehicle carries the unmanned aerial vehicle inspection control system.
By combining all the technical schemes, the invention has the advantages and positive effects that: aiming at the purpose of monitoring the traffic safety of the highway, the invention perfectly solves the problems by adopting an intelligent inspection mode of an unmanned aerial vehicle. Editing a flight route of the unmanned aerial vehicle aiming at a certain section of expressway to realize autonomous flight of the unmanned aerial vehicle; the unmanned aerial vehicle patrols at the speed of about 70km/h, and the program identifies images and adjusts the angle of a hanging cabin to enable the highway to be positioned in the center of a picture; automatically identifying lane lines and objects (vehicles, pedestrians, barriers and the like) in the expressway, analyzing and discovering illegal driving behaviors (occupying emergency lanes, trucks occupying passenger lanes and the like) and potential safety hazards of road conditions (road condition congestion, existence of pedestrian barriers and the like); automatically capturing license plates of illegal driving behaviors needing evidence preservation, carrying out voice prompt on potential safety hazards of road conditions, and timely carrying out manual intervention if necessary; and the system is butted with a traffic police platform to display the highway road condition and illegal driving behavior information in real time. The utility model provides an unmanned aerial vehicle intelligence system of patrolling and examining to highway driving safety is to the promotion and the enhancement of current highway driving safety monitoring mode.
The invention completely replaces the traditional manpower inspection mode, reduces inspection hidden danger, saves manpower, material resources and financial resources, improves inspection efficiency and can process more illegal events; meanwhile, the defect that fixed blind areas exist in bayonet equipment monitoring is overcome.
The whole process of the unmanned aerial vehicle intelligent patrol system is controlled by a program, an intelligent identification control algorithm is combined, the unmanned aerial vehicle intelligent patrol system aiming at the highway driving safety is realized through reasonable logic design, the traditional manpower patrol mode is completely replaced, the patrol hidden danger is reduced, the manpower, material resources and financial resources consumption are saved, the patrol efficiency is improved, and more illegal events can be processed; meanwhile, the defect that fixed blind areas exist in bayonet equipment monitoring is overcome.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings needed to be used in the embodiments of the present application will be briefly described below, and it is obvious that the drawings described below are only some embodiments of the present application, and it is obvious for those skilled in the art that other drawings can be obtained from the drawings without creative efforts.
Fig. 1 is a flowchart of an unmanned aerial vehicle inspection control method provided by an embodiment of the invention.
Fig. 2 is a schematic structural diagram of an unmanned aerial vehicle inspection control system provided by an embodiment of the invention;
in the figure: 1. a flight path setting module; 2. the program is an imaged module; 3. an automatic identification module; 4. the license plate automatic snapshot module; 5. an information display module; 6. and the flight data storage module.
Fig. 3 is a schematic diagram of an unmanned aerial vehicle inspection control system provided by an embodiment of the invention.
Fig. 4 is a flowchart of an implementation of the unmanned aerial vehicle inspection control method provided by the embodiment of the invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is further described in detail with reference to the following embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
In view of the problems in the prior art, the present invention provides a method, a system, a storage medium, a program, and a terminal for controlling routing inspection of an unmanned aerial vehicle, and the present invention is described in detail below with reference to the accompanying drawings.
As shown in fig. 1, the method for controlling routing inspection of an unmanned aerial vehicle according to the embodiment of the present invention includes the following steps:
s101: according to the route of a certain section of expressway, the flight route of the unmanned aerial vehicle is preset, the unmanned aerial vehicle takes off by one key and lands by one key, and the unmanned aerial vehicle flies autonomously along the preset flight route;
s102: the unmanned aerial vehicle patrols at the speed of about 70km/h, and the program identifies images and adjusts the angle of a hanging cabin to enable the highway to be positioned in the center of a picture;
s103: automatically identifying lane lines and objects in the highway, and analyzing and finding illegal driving behaviors and road condition potential safety hazards in the lane lines and the objects;
s104: automatically capturing license plates of illegal driving behaviors with evidences reserved, and carrying out voice prompt on potential safety hazards of road conditions; for illegal driving behaviors, automatically tracking illegal vehicles and identifying license plates of the illegal vehicles; for road conditions with potential safety hazards, the unmanned aerial vehicle carries out voice prompt, communicates with background police and carries out manual intervention in time;
s105: the system is butted with a traffic police platform, and highway road conditions and illegal driving behavior information are displayed in real time; and the system is in butt joint with a video display platform of a traffic police, the highway condition and illegal driving behavior information of the road section are called out in real time, and meanwhile, historical flight data are stored in the platform.
As shown in fig. 2, the unmanned aerial vehicle inspection control system provided by the invention comprises:
the flight path setting module 1 is used for presetting a flight path of the unmanned aerial vehicle according to the path of a certain section of expressway, enabling the unmanned aerial vehicle to take off by one key and land by one key, and flying autonomously along the preset flight path.
The program is an image module 2 used for realizing the inspection of the unmanned aerial vehicle at the speed of about 70km/h, and the program identifies the image and adjusts the angle of the hanging cabin to enable the highway to be positioned in the center of the picture.
And the automatic identification module 3 is used for automatically identifying lane lines and objects in the expressway, and analyzing and finding illegal driving behaviors and road condition potential safety hazards.
And the automatic license plate snapshot module 4 is used for automatically snapshot license plates of illegal driving behaviors which keep evidences and carrying out voice prompt on the potential safety hazards of road conditions.
And the information display module 5 is used for displaying the highway road condition and illegal driving behavior information in real time.
And the flight data storage module 6 is used for calling out the highway road condition and illegal driving behavior information of the road section in real time and storing the historical flight data in the platform.
The technical solution of the present invention is further described below with reference to the accompanying drawings.
Fig. 3 is a schematic diagram of an unmanned aerial vehicle inspection control system provided by an embodiment of the invention.
Fig. 4 is a flowchart of an implementation of the unmanned aerial vehicle inspection control method provided by the embodiment of the invention.
As shown in fig. 4, the unmanned aerial vehicle inspection control method provided by the embodiment of the invention specifically includes the following steps:
firstly, editing a flight route of an unmanned aerial vehicle aiming at a certain section of highway to realize autonomous flight of the unmanned aerial vehicle; according to the route of a certain section of expressway, the flight route of the unmanned aerial vehicle is preset, the unmanned aerial vehicle takes off by one key and lands by one key, and the unmanned aerial vehicle flies along the preset flight route independently, and manual intervention is not needed in the flying process.
And secondly, the unmanned aerial vehicle patrols at the speed of about 70km/h, and the program identifies images and adjusts the angle of the hanging cabin to enable the highway to be positioned in the center of the picture.
The flight safety of the unmanned aerial vehicle is guaranteed, the flight speed of the unmanned aerial vehicle is kept about 70km/h on a preset air route in 1, and in order to guarantee that the expressway is located in the center of the picture, the picture needs to be identified, and then the angle of the hanging cabin is adjusted according to the position of the air route in the picture, so that the further identification of the road condition of the expressway and the driving information is facilitated.
And thirdly, automatically identifying lane lines and objects (vehicles, pedestrians, barriers and the like) in the expressway, analyzing and discovering illegal driving behaviors (occupying emergency lanes, trucks occupying passenger lanes and the like) and potential safety hazards (road condition congestion, existence of pedestrian barriers and the like) of the road conditions.
The method comprises the steps of using a target segmentation algorithm to segment each lane line in the expressway, using a target identification algorithm to identify objects (vehicles, pedestrians, obstacles and the like) possibly existing on the expressway, and finding illegal driving behaviors (occupying emergency lanes, trucks occupying passenger lanes and the like) and potential safety hazards (road condition congestion, pedestrian obstacles and the like) of the objects by combining the results of the two methods and logic analysis.
Fourthly, automatically capturing license plates of illegal driving behaviors needing evidence preservation, carrying out voice prompt on potential safety hazards of road conditions, and timely carrying out manual intervention if necessary; for illegal driving behaviors (emergency lane occupation, passenger lane occupation by a truck and the like), automatic tracking of illegal vehicles is required, license plate numbers of the illegal vehicles are further identified, and evidences are reserved; for road conditions (road condition congestion, pedestrian obstacles and the like) with potential safety hazards, the unmanned aerial vehicle carries out voice prompt, communicates with background policemen when necessary, and carries out manual intervention in time.
Fifthly, butting with a traffic police platform to display the highway road condition and illegal driving behavior information in real time; and the system is in butt joint with a video display platform of a traffic police, the highway road condition and illegal driving behavior information of the road section are called out in real time if necessary, and meanwhile, historical flight data are stored in the platform.
It should be noted that the embodiments of the present invention can be realized by hardware, software, or a combination of software and hardware. The hardware portion may be implemented using dedicated logic; the software portions may be stored in a memory and executed by a suitable instruction execution system, such as a microprocessor or specially designed hardware. Those skilled in the art will appreciate that the apparatus and methods described above may be implemented using computer executable instructions and/or embodied in processor control code, such code being provided on a carrier medium such as a disk, CD-or DVD-ROM, programmable memory such as read only memory (firmware), or a data carrier such as an optical or electronic signal carrier, for example. The apparatus and its modules of the present invention may be implemented by hardware circuits such as very large scale integrated circuits or gate arrays, semiconductors such as logic chips, transistors, or programmable hardware devices such as field programmable gate arrays, programmable logic devices, etc., or by software executed by various types of processors, or by a combination of hardware circuits and software, e.g., firmware.
The above description is only for the purpose of illustrating the present invention and the appended claims are not to be construed as limiting the scope of the invention, which is intended to cover all modifications, equivalents and improvements that are within the spirit and scope of the invention as defined by the appended claims.
Claims (10)
1. The unmanned aerial vehicle inspection control method is characterized by comprising the following steps: adjusting the angle of the hanging cabin to enable the highway to be positioned in the center of the picture; automatically identifying lane lines and objects in the highway, and analyzing illegal driving behaviors and potential safety hazards of road conditions;
and automatically capturing the license plate of the illegal driving behavior with evidence, carrying out voice prompt on the analyzed road condition safety hidden danger, and simultaneously displaying the road condition of the highway and the illegal driving behavior in real time.
2. The unmanned aerial vehicle inspection control method according to claim 1, wherein the unmanned aerial vehicle inspection control method includes:
the method comprises the steps that firstly, a flight route of an unmanned aerial vehicle is preset according to the route of a certain section of highway, the unmanned aerial vehicle takes off by one key and lands by one key, and the unmanned aerial vehicle flies autonomously along the preset flight route;
secondly, the unmanned aerial vehicle performs routing inspection, and a program identifies an image and adjusts the angle of a hanging cabin to enable the highway to be positioned in the center of the picture;
thirdly, automatically identifying lane lines and objects in the expressway, and analyzing illegal driving behaviors and potential safety hazards of road conditions;
fourthly, automatically capturing license plates of illegal driving behaviors with evidences reserved, and carrying out voice prompt on potential safety hazards of road conditions;
fifthly, butting with a traffic police platform to display the highway road condition and illegal driving behavior information in real time; the system is in butt joint with a video display platform of a traffic police, the highway road condition and illegal driving behavior information of a road section is called out in real time, and meanwhile, historical flight data are stored in the platform.
3. The unmanned aerial vehicle inspection control method according to claim 2, wherein the objects of the third step include vehicles, pedestrians, obstacles; the illegal driving behaviors comprise that an emergency lane is occupied, and a truck occupies a passenger lane; the road condition potential safety hazard is road condition congestion and pedestrian obstacles.
4. The unmanned aerial vehicle inspection control method according to claim 2, wherein in the third step, each lane line in the highway is segmented by using a target segmentation algorithm, objects possibly existing on the highway are identified by using a target identification algorithm, and the illegal driving behaviors and road condition potential safety hazards are found by combining the results with logic analysis.
5. The unmanned aerial vehicle inspection control method according to claim 2, wherein the illegal driving behavior of the fourth step includes occupying an emergency lane, and a truck occupying a passenger lane; the road conditions with the potential safety hazards comprise road condition congestion and pedestrian barriers.
6. A program storage medium for receiving user input, the stored computer program causing an electronic device to perform the steps comprising: editing the flight route of the unmanned aerial vehicle, identifying an image by a program and adjusting the angle of a hanging cabin to enable the expressway to be positioned in the center of a picture; automatically identifying lane lines and objects in the highway, and analyzing and finding illegal driving behaviors and road condition potential safety hazards in the lane lines and the objects; automatically capturing the license plate of the illegal driving behavior with evidence, and carrying out voice prompt on the potential safety hazard of road conditions; and displaying the highway road condition and illegal driving behavior information in real time.
7. A computer program product stored on a computer readable medium, comprising a computer readable program for providing a user input interface to implement the unmanned aerial vehicle inspection control method of any of claims 1-5 when executed on an electronic device.
8. An unmanned aerial vehicle inspection control system for implementing the unmanned aerial vehicle inspection control method according to any one of claims 1 to 5, wherein the unmanned aerial vehicle inspection control system comprises:
the flight path setting module is used for presetting a flight path of the unmanned aerial vehicle according to the path of a certain section of expressway, enabling the unmanned aerial vehicle to take off by one key and land by one key, and flying autonomously along the preset flight path;
the program is an image module and is used for realizing the inspection of the unmanned aerial vehicle at the speed of 70km/h, and the program identifies the image and adjusts the angle of the hanging cabin to ensure that the highway is positioned in the center of the picture;
the automatic identification module is used for automatically identifying lane lines and objects in the expressway, analyzing and finding illegal driving behaviors and potential safety hazards of road conditions;
the automatic license plate snapshot module is used for automatically snapshot license plates of illegal driving behaviors with evidences reserved and carrying out voice prompt on potential safety hazards of road conditions;
the information display module is used for displaying the highway road condition and illegal driving behavior information in real time;
and the flight data storage module is used for calling out the highway road condition and illegal driving behavior information of the road section in real time and storing the historical flight data in the platform.
9. A terminal, characterized in that the terminal carries the unmanned aerial vehicle inspection control system of claim 8.
10. An unmanned aerial vehicle, wherein the unmanned aerial vehicle carries the unmanned aerial vehicle inspection control system of claim 8.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010326040.0A CN111443716A (en) | 2020-04-23 | 2020-04-23 | Unmanned aerial vehicle inspection control method, system, storage medium, program and terminal |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010326040.0A CN111443716A (en) | 2020-04-23 | 2020-04-23 | Unmanned aerial vehicle inspection control method, system, storage medium, program and terminal |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN111443716A true CN111443716A (en) | 2020-07-24 |
Family
ID=71657903
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202010326040.0A Pending CN111443716A (en) | 2020-04-23 | 2020-04-23 | Unmanned aerial vehicle inspection control method, system, storage medium, program and terminal |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN111443716A (en) |
Cited By (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112232285A (en) * | 2020-11-05 | 2021-01-15 | 浙江点辰航空科技有限公司 | Unmanned aerial vehicle system that highway emergency driveway was patrolled and examined |
| CN112258842A (en) * | 2020-10-26 | 2021-01-22 | 北京百度网讯科技有限公司 | Traffic monitoring method, device, equipment and storage medium |
| CN112562345A (en) * | 2020-11-26 | 2021-03-26 | 南京信息工程大学 | Traffic violation monitoring method based on unmanned aerial vehicle |
| CN113763719A (en) * | 2021-10-13 | 2021-12-07 | 深圳联和智慧科技有限公司 | Unmanned aerial vehicle-based illegal emergency lane occupation detection method and system |
| CN114373152A (en) * | 2022-01-07 | 2022-04-19 | 北京远度互联科技有限公司 | Method and device for identifying road violation, electronic equipment and storage medium |
| CN114489122A (en) * | 2021-12-30 | 2022-05-13 | 山东奥邦交通设施工程有限公司 | UAV and matching airport-based automatic highway inspection method and system |
| CN114756053A (en) * | 2022-03-30 | 2022-07-15 | 中科融信科技有限公司 | Police service inspection method and system based on unmanned aerial vehicle and storage medium |
| CN115083171A (en) * | 2022-07-20 | 2022-09-20 | 深圳联和智慧科技有限公司 | Unmanned aerial vehicle fixed-point inspection method and system based on muck vehicle monitoring |
| CN117274845A (en) * | 2023-11-22 | 2023-12-22 | 山东中宇航空科技发展有限公司 | Method, system, equipment and storage medium for capturing images of flying unmanned aerial vehicle |
| CN117423017A (en) * | 2023-11-07 | 2024-01-19 | 广州天海翔航空科技有限公司 | Inspection processing method, system, equipment and medium based on unmanned aerial vehicle |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105389988A (en) * | 2015-12-07 | 2016-03-09 | 北京航空航天大学 | Multi-unmanned aerial vehicle cooperation highway intelligent inspection system |
| US20180293684A1 (en) * | 2016-09-07 | 2018-10-11 | Southeast University | Supervision and penalty method and system for expressway emergency lane occupancy |
-
2020
- 2020-04-23 CN CN202010326040.0A patent/CN111443716A/en active Pending
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105389988A (en) * | 2015-12-07 | 2016-03-09 | 北京航空航天大学 | Multi-unmanned aerial vehicle cooperation highway intelligent inspection system |
| US20180293684A1 (en) * | 2016-09-07 | 2018-10-11 | Southeast University | Supervision and penalty method and system for expressway emergency lane occupancy |
Non-Patent Citations (2)
| Title |
|---|
| 肖建 等: "一种基于无人机的违章违停自主巡检系统", 《计算机技术与发展》 * |
| 马昭 等: "垂直起降固定翼无人机在高速公路管养中的应用", 《机电一体化》 * |
Cited By (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112258842A (en) * | 2020-10-26 | 2021-01-22 | 北京百度网讯科技有限公司 | Traffic monitoring method, device, equipment and storage medium |
| CN112232285A (en) * | 2020-11-05 | 2021-01-15 | 浙江点辰航空科技有限公司 | Unmanned aerial vehicle system that highway emergency driveway was patrolled and examined |
| CN112562345A (en) * | 2020-11-26 | 2021-03-26 | 南京信息工程大学 | Traffic violation monitoring method based on unmanned aerial vehicle |
| CN113763719A (en) * | 2021-10-13 | 2021-12-07 | 深圳联和智慧科技有限公司 | Unmanned aerial vehicle-based illegal emergency lane occupation detection method and system |
| CN113763719B (en) * | 2021-10-13 | 2022-06-14 | 深圳联和智慧科技有限公司 | Unmanned aerial vehicle-based illegal emergency lane occupation detection method and system |
| CN114489122A (en) * | 2021-12-30 | 2022-05-13 | 山东奥邦交通设施工程有限公司 | UAV and matching airport-based automatic highway inspection method and system |
| CN114373152A (en) * | 2022-01-07 | 2022-04-19 | 北京远度互联科技有限公司 | Method and device for identifying road violation, electronic equipment and storage medium |
| CN114756053A (en) * | 2022-03-30 | 2022-07-15 | 中科融信科技有限公司 | Police service inspection method and system based on unmanned aerial vehicle and storage medium |
| CN114756053B (en) * | 2022-03-30 | 2022-10-04 | 中科融信科技有限公司 | Police service inspection method and system based on unmanned aerial vehicle and storage medium |
| CN115083171A (en) * | 2022-07-20 | 2022-09-20 | 深圳联和智慧科技有限公司 | Unmanned aerial vehicle fixed-point inspection method and system based on muck vehicle monitoring |
| CN117423017A (en) * | 2023-11-07 | 2024-01-19 | 广州天海翔航空科技有限公司 | Inspection processing method, system, equipment and medium based on unmanned aerial vehicle |
| CN117274845A (en) * | 2023-11-22 | 2023-12-22 | 山东中宇航空科技发展有限公司 | Method, system, equipment and storage medium for capturing images of flying unmanned aerial vehicle |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN111443716A (en) | Unmanned aerial vehicle inspection control method, system, storage medium, program and terminal | |
| CN108172025B (en) | Driving assisting method and device, vehicle-mounted terminal and vehicle | |
| CN111696373A (en) | Motorcade cooperative sensing method, motorcade cooperative control method and motorcade cooperative control system | |
| CN117809275B (en) | Environment sensing method and system based on 360-degree circular system of civil aviation vehicle | |
| CN113593250A (en) | Illegal parking detection system based on visual identification | |
| CN108646738A (en) | A kind of drive assistance function calling device and method | |
| CN113851017A (en) | Pedestrian and vehicle identification and early warning multifunctional system based on road side RSU | |
| CN113808418A (en) | Road condition information display system, method, vehicle, computer device and storage medium | |
| CN111429734A (en) | Real-time monitoring system and method for inside and outside port container trucks | |
| CN109584579A (en) | Method for controlling traffic signal lights and computer equipment based on recognition of face | |
| CN113436361A (en) | Roadside berth management system based on unmanned inspection vehicle | |
| CN116013101A (en) | System and method for suggesting speed of signal-free intersection based on network environment | |
| CN112249016A (en) | U-turn control system and method for autonomous vehicle | |
| CN112509353B (en) | Robot passing method and device, robot and storage medium | |
| CN207367374U (en) | Intelligent transportation sign board and intelligent transportation system | |
| CN113792106A (en) | Road state updating method and device, electronic equipment and storage medium | |
| CN111427063B (en) | Mobile device traffic control method, device, equipment, system and medium | |
| CN115092186B (en) | Automatic driving method and device for vehicle, electronic equipment and storage medium | |
| CN112525552A (en) | Algorithm test system and method for automobile advanced auxiliary driving system | |
| US20240025441A1 (en) | State Estimation and Response to Active School Vehicles in a Self-Driving System | |
| CN114274978B (en) | Obstacle avoidance method for unmanned logistics vehicle | |
| CN113470393B (en) | Expressway warning service method and system integrating visual perception and image-text projection | |
| CN111583670B (en) | Method for monitoring overspeed driving by using unmanned aerial vehicle, monitoring system and unmanned aerial vehicle | |
| CN114429622A (en) | Automatic vehicle driving method and device, vehicle and storage medium | |
| CN116745819A (en) | Determining traffic light labels and classification quality from infrastructure signals |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |