CN116437044A - Method and system for assisting real-time video monitoring of expressway - Google Patents
Method and system for assisting real-time video monitoring of expressway Download PDFInfo
- Publication number
- CN116437044A CN116437044A CN202211569246.1A CN202211569246A CN116437044A CN 116437044 A CN116437044 A CN 116437044A CN 202211569246 A CN202211569246 A CN 202211569246A CN 116437044 A CN116437044 A CN 116437044A
- Authority
- CN
- China
- Prior art keywords
- event
- unmanned aerial
- aerial vehicle
- information
- expressway
- 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
- 238000012544 monitoring process Methods 0.000 title claims abstract description 59
- 238000000034 method Methods 0.000 title claims abstract description 35
- 206010039203 Road traffic accident Diseases 0.000 claims abstract description 9
- 238000012545 processing Methods 0.000 claims description 10
- 230000008569 process Effects 0.000 claims description 7
- 230000002776 aggregation Effects 0.000 claims description 2
- 238000004220 aggregation Methods 0.000 claims description 2
- 238000004140 cleaning Methods 0.000 claims description 2
- 238000012423 maintenance Methods 0.000 abstract description 4
- 238000009434 installation Methods 0.000 description 3
- 230000005856 abnormality Effects 0.000 description 2
- 238000010276 construction Methods 0.000 description 2
- 238000013461 design Methods 0.000 description 2
- 230000006870 function Effects 0.000 description 2
- 208000027418 Wounds and injury Diseases 0.000 description 1
- 230000004075 alteration Effects 0.000 description 1
- 238000013459 approach Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000006378 damage Effects 0.000 description 1
- 208000014674 injury Diseases 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000012360 testing method Methods 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/50—Context or environment of the image
- G06V20/52—Surveillance or monitoring of activities, e.g. for recognising suspicious objects
- G06V20/54—Surveillance or monitoring of activities, e.g. for recognising suspicious objects of traffic, e.g. cars on the road, trains or boats
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/40—Scenes; Scene-specific elements in video content
- G06V20/41—Higher-level, semantic clustering, classification or understanding of video scenes, e.g. detection, labelling or Markovian modelling of sport events or news items
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/40—Scenes; Scene-specific elements in video content
- G06V20/44—Event detection
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N7/00—Television systems
- H04N7/18—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
- H04N7/181—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast for receiving images from a plurality of remote sources
Landscapes
- Engineering & Computer Science (AREA)
- Multimedia (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Computational Linguistics (AREA)
- Software Systems (AREA)
- Signal Processing (AREA)
- Traffic Control Systems (AREA)
Abstract
A method for assisting real-time video monitoring of a highway, comprising: configuring unmanned aerial vehicle equipment information; various event information of the expressway is obtained through various modes and is sent to a central management platform; the central management platform preliminarily judges whether the current event needs to be processed, and when the current event needs to be processed, unmanned aerial vehicle equipment nearby the event site is scheduled for patrol; the unmanned aerial vehicle equipment automatically flies to the event place according to the self position information and the event place information; the center management platform remotely controls the unmanned aerial vehicle equipment and acquires a real-time monitoring video through the unmanned aerial vehicle equipment; the central management platform judges the type and the grade of the event again, records the event detailed information, informs the corresponding user of the event detailed information, and carries out further treatment according to the event type. The invention effectively improves the operation management efficiency of the expressway, reduces the operation maintenance cost, monitors the expressway in the whole course and prevents traffic accidents.
Description
Technical Field
The invention relates to the field of video monitoring, in particular to a method and a system for assisting real-time video monitoring of a highway.
Background
The method mainly comprises the following steps of (1) monitoring expressways, wherein high-definition video monitoring equipment is installed on the right side of a driving direction at intervals of 2 kilometers in the important road sections of the expressways at present, and the conditions of the expressways are observed in real time through the equipment. When special events such as congestion and accidents are encountered, the event occurrence can be known only by a road section management center after the personnel on the accident scene actively report, and in order to further process, the personnel on the accident scene need to be coordinated to drive away for disposal.
However, in the monitoring scheme currently used by the expressway, the whole-course monitoring cannot be achieved. In order to realize real-time monitoring of all road sections, high-definition video monitoring equipment needs to be installed in the whole process, and the price of the high-definition video monitoring equipment is always higher, which can definitely increase the construction cost of highways. The construction and installation equipment is also a huge project for the existing expressway. And the maintenance of the equipment is extremely wasteful. When events such as accidents, congestion and the like occur in the expressway, the expressway cannot be informed timely. After the event is reported, the details can not be clearly seen through the high-definition video monitoring equipment installed on the expressway drive test, and the accident level and personnel and article injury condition can not be judged further.
Disclosure of Invention
The present invention has been made in view of the above problems, and it is an object of the present invention to provide a method and system for assisting real-time video surveillance of a highway that overcomes or at least partially solves the above problems.
In order to solve the technical problems, the embodiment of the application discloses the following technical scheme:
a method for assisting real-time video monitoring of a highway, comprising:
s100, configuring unmanned aerial vehicle equipment information, and adding the unmanned aerial vehicle equipment information to a central management platform;
s200, various event information of the expressway is obtained in various modes, processed and sent to a central management platform;
s300, the central management platform preliminarily judges whether the current event needs to be processed, and when the event needs to be processed, unmanned aerial vehicle equipment nearby the event site is scheduled to patrol according to the position information and the unmanned aerial vehicle equipment information in the event information;
s400, the unmanned aerial vehicle equipment generates a navigation route according to the self position information and the event location information, and automatically flies to the event location;
s500, remotely controlling the unmanned aerial vehicle equipment by the central management platform, and sending the real-time monitoring video to the central management platform through the real-time monitoring video acquired by a camera of the unmanned aerial vehicle equipment;
s600, the central management platform judges the type and the grade of the event again, records the event detailed information, informs the corresponding user of the event detailed information, and further processes according to the event type.
Further, in S100, configuring the unmanned aerial vehicle device information includes: numbering a plurality of unmanned aerial vehicles, respectively configuring the unmanned aerial vehicles to different positions of the expressway according to a certain distance, and carrying out one-to-one matching on the unmanned aerial vehicle numbers and the configured corresponding expressway position information.
Further, in S200, various event information of the expressway is obtained through various modes, where the various modes at least include: and obtaining various event information of the expressway through a time analyzer, a high-definition monitoring video, user event reporting and third-party platform event reporting.
Further, in S200, processing various event information of the expressway specifically includes: cleaning various input information, sorting to obtain an original event, performing event deduplication on the original event, and performing event aggregation on events from different sources to obtain a complete event containing type and location information.
Further, in S300, the central management platform determines whether the current event needs to be processed, where the event to be processed at least includes a road traffic accident event, a road congestion event, a road reverse event, and a road parking event.
Further, in S500, the central management platform performs remote control on the unmanned aerial vehicle device, specifically including: the central management platform adjusts the position and the height of the unmanned aerial vehicle, determines an optimal observation position, and acquires real-time monitoring video through a camera of unmanned aerial vehicle equipment.
Further, in S600, the central management platform determines the type and level of the event again, where: event types include congestion events, reverse travel events, parking events, and traffic accident events; event ratings include three ratings, general, severe and particularly severe.
Further, in S600, further processing is performed according to the event type, including at least: traffic is conducted, traffic police are informed of intervening traffic events, and ambulances are informed of reaching the event places.
The invention also discloses a system for assisting real-time video monitoring of the expressway, which comprises: the system comprises an unmanned aerial vehicle equipment configuration unit, a highway event information acquisition unit, a central management platform and unmanned aerial vehicle equipment; wherein:
the unmanned aerial vehicle equipment configuration unit is used for pre-configuring unmanned aerial vehicles, numbering a plurality of unmanned aerial vehicles, respectively configuring the unmanned aerial vehicles to different positions of the expressway according to a certain distance, and carrying out one-to-one matching on the unmanned aerial vehicle numbers and the configured corresponding expressway position information;
the system comprises an expressway event information acquisition unit, a control unit and a control unit, wherein the expressway event information acquisition unit is used for acquiring various event information of an expressway in various modes and processing the various event information of the expressway;
the unmanned aerial vehicle equipment is used for generating a navigation route according to the self-position information and the event location information when the event needs to be processed, and automatically flying to the event location;
the central management platform is used for preliminarily judging whether the current event needs to be processed, and when the current event needs to be processed, unmanned aerial vehicle equipment near the event location is scheduled to be patrolled according to the position information in the event information and the unmanned aerial vehicle equipment information; the system is also used for remotely controlling the unmanned aerial vehicle equipment, acquiring a real-time monitoring video acquired by a camera of the unmanned aerial vehicle equipment, judging the type and the grade of the event again, recording event detailed information, informing a corresponding user of the event detailed information, and further processing according to the event type.
The technical scheme provided by the embodiment of the invention has the beneficial effects that at least:
the invention discloses a method for assisting real-time video monitoring of a highway, which comprises the following steps: configuring unmanned aerial vehicle equipment information, and adding the unmanned aerial vehicle equipment information to a central management platform; various event information of the expressway is obtained in various modes, processed and sent to a central management platform; the central management platform preliminarily judges whether the current event needs to be processed, and when the event needs to be processed, unmanned aerial vehicle equipment near the event site is scheduled to patrol according to the position information in the event information and the unmanned aerial vehicle equipment information; the unmanned plane equipment generates a navigation route according to the self position information and the event location information, and automatically flies to the event location; the center management platform remotely controls the unmanned aerial vehicle equipment, and sends the real-time monitoring video to the center management platform through the real-time monitoring video acquired by the camera of the unmanned aerial vehicle equipment; the central management platform judges the type and the grade of the event again, records the event detailed information, informs the corresponding user of the event detailed information, and carries out further treatment according to the event type.
According to the invention, by combining the installation condition of high-definition video monitoring equipment in the current expressway and the expressway operation data, a plurality of unmanned aerial vehicle equipment is arranged near heavy-point road sections such as a sharp turn road section and a accident-prone road section, so that a monitoring blind area caused by incomplete expressway monitoring is made up. When an event or abnormality occurs, an administrator can respond to the event information in a short time, and the unmanned aerial vehicle can reach the event place in a short time, so that the operation management efficiency of the expressway is effectively improved, the operation maintenance cost is reduced, the whole-course monitoring of the expressway is realized, and traffic accidents are prevented.
The technical scheme of the invention is further described in detail through the drawings and the embodiments.
Drawings
The accompanying drawings are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate the invention and together with the embodiments of the invention, serve to explain the invention. In the drawings:
fig. 1 is a flowchart of a method for assisting real-time video monitoring of a highway in embodiment 1 of the present invention.
Detailed Description
Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.
In order to solve the problems in the prior art, the embodiment of the invention provides a method and a system for assisting real-time video monitoring of a highway.
Example 1
The embodiment discloses a method for assisting real-time video monitoring of a highway, as shown in fig. 1, comprising the following steps:
s100, configuring unmanned aerial vehicle equipment information, and adding the unmanned aerial vehicle equipment information to a central management platform; in S100 of the present embodiment, configuration of unmanned aerial vehicle device information includes: numbering a plurality of unmanned aerial vehicles, respectively configuring the unmanned aerial vehicles to different positions of the expressway according to a certain distance, and carrying out one-to-one matching on the unmanned aerial vehicle numbers and the configured corresponding expressway position information.
S200, various event information of the expressway is obtained in various modes, processed and sent to a central management platform;
in S200 of this embodiment, various event information of the expressway is obtained in various manners, where the various manners at least include: and obtaining various event information of the expressway through a time analyzer, a high-definition monitoring video, user event reporting and third-party platform event reporting.
S300, the central management platform preliminarily judges whether the current event needs to be processed, and when the event needs to be processed, unmanned aerial vehicle equipment nearby the event site is scheduled to patrol according to the position information and the unmanned aerial vehicle equipment information in the event information;
in S300 of this embodiment, the central management platform determines whether the current event needs to be processed, where the event to be processed at least includes a road traffic accident event, a road congestion event, a road reverse event, and a road parking event.
S400, the unmanned aerial vehicle equipment generates a navigation route according to the self position information and the event location information, and automatically flies to the event location; it can be understood that the unmanned aerial vehicle device automatically plans the flight path according to the self-position information and the event location information, and automatically flies to the event location.
S500, remotely controlling the unmanned aerial vehicle equipment by the central management platform, and sending the real-time monitoring video to the central management platform through the real-time monitoring video acquired by a camera of the unmanned aerial vehicle equipment;
in S500 of this embodiment, the central management platform performs remote control on the unmanned aerial vehicle device, and specifically includes: the central management platform adjusts the position and the height of the unmanned aerial vehicle, determines an optimal observation position, and acquires real-time monitoring video through a camera of unmanned aerial vehicle equipment.
S600, the central management platform judges the type and the grade of the event again, records the event detailed information, informs the corresponding user of the event detailed information, and further processes according to the event type.
In S600 of the present embodiment, the central management platform again makes a determination on the type and level of the event, where: event types include congestion events, reverse travel events, parking events, and traffic accident events; event ratings include three ratings, general, severe and particularly severe.
In S600 of the present embodiment, further processing is performed according to the event type, including at least: traffic is conducted, traffic police are informed of intervening traffic events, and ambulances are informed of reaching the event places.
The embodiment also discloses a system for assisting real-time video monitoring of the expressway, which comprises: the system comprises an unmanned aerial vehicle equipment configuration unit, a highway event information acquisition unit, a central management platform and unmanned aerial vehicle equipment; wherein:
the unmanned aerial vehicle equipment configuration unit is used for pre-configuring unmanned aerial vehicles, numbering a plurality of unmanned aerial vehicles, respectively configuring the unmanned aerial vehicles to different positions of the expressway according to a certain distance, and carrying out one-to-one matching on the unmanned aerial vehicle numbers and the configured corresponding expressway position information;
the system comprises an expressway event information acquisition unit, a control unit and a control unit, wherein the expressway event information acquisition unit is used for acquiring various event information of an expressway in various modes and processing the various event information of the expressway;
the unmanned aerial vehicle equipment is used for generating a navigation route according to the self-position information and the event location information when the event needs to be processed, and automatically flying to the event location;
the central management platform is used for preliminarily judging whether the current event needs to be processed, and when the current event needs to be processed, unmanned aerial vehicle equipment near the event location is scheduled to be patrolled according to the position information in the event information and the unmanned aerial vehicle equipment information; the system is also used for remotely controlling the unmanned aerial vehicle equipment, acquiring a real-time monitoring video acquired by a camera of the unmanned aerial vehicle equipment, judging the type and the grade of the event again, recording event detailed information, informing a corresponding user of the event detailed information, and further processing according to the event type.
The embodiment discloses a method for assisting real-time video monitoring of a highway, which comprises the following steps: configuring unmanned aerial vehicle equipment information, and adding the unmanned aerial vehicle equipment information to a central management platform; various event information of the expressway is obtained in various modes, processed and sent to a central management platform; the central management platform preliminarily judges whether the current event needs to be processed, and when the event needs to be processed, unmanned aerial vehicle equipment near the event site is scheduled to patrol according to the position information in the event information and the unmanned aerial vehicle equipment information; the unmanned plane equipment generates a navigation route according to the self position information and the event location information, and automatically flies to the event location; the center management platform remotely controls the unmanned aerial vehicle equipment, and sends the real-time monitoring video to the center management platform through the real-time monitoring video acquired by the camera of the unmanned aerial vehicle equipment; the central management platform judges the type and the grade of the event again, records the event detailed information, informs the corresponding user of the event detailed information, and carries out further treatment according to the event type.
According to the method for assisting real-time video monitoring of the expressway, provided by the embodiment, by combining the installation condition of high-definition video monitoring equipment in the current expressway and expressway operation data, a plurality of unmanned aerial vehicle devices are configured nearby heavy-point road sections such as a sharp turn road section and an accident-prone road section, so that monitoring blind areas caused by incomplete expressway monitoring are made up. When an event or abnormality occurs, an administrator can respond to the event information in a short time, and the unmanned aerial vehicle can reach the event place in a short time, so that the operation management efficiency of the expressway is effectively improved, the operation maintenance cost is reduced, the whole-course monitoring of the expressway is realized, and traffic accidents are prevented.
Example 2
The embodiment discloses an electronic device, including: a memory for storing instructions executable by the processor; a processor configured to execute the instructions to implement a method of assisting real-time video surveillance of a highway as described in embodiment 1.
It should be understood that the specific order or hierarchy of steps in the processes disclosed are examples of exemplary approaches. Based on design preferences, it is understood that the specific order or hierarchy of steps in the processes may be rearranged without departing from the scope of the present disclosure. The accompanying method claims present elements of the various steps in a sample order, and are not meant to be limited to the specific order or hierarchy presented.
In the foregoing detailed description, various features are grouped together in a single embodiment for the purpose of streamlining the disclosure. This method of disclosure is not to be interpreted as reflecting an intention that the claimed embodiments of the subject matter require more features than are expressly recited in each claim. Rather, as the following claims reflect, invention lies in less than all features of a single disclosed embodiment. Thus the following claims are hereby expressly incorporated into this detailed description, with each claim standing on its own as a separate preferred embodiment of this invention.
Those of skill would further appreciate that the various illustrative logical blocks, modules, circuits, and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, computer software, or combinations of both. To clearly illustrate this interchangeability of hardware and software, various illustrative components, blocks, modules, circuits, and steps have been described above generally in terms of their functionality. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the overall system. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present disclosure.
The steps of a method or algorithm described in connection with the embodiments disclosed herein may be embodied directly in hardware, in a software module executed by a processor, or in a combination of the two. A software module may reside in RAM memory, flash memory, ROM memory, EPROM memory, EEPROM memory, registers, hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art. An exemplary storage medium is coupled to the processor such the processor can read information from, and write information to, the storage medium. In the alternative, the storage medium may be integral to the processor. The processor and the storage medium may reside in an ASIC. The ASIC may reside in a user terminal. The processor and the storage medium may reside as discrete components in a user terminal.
For a software implementation, the techniques described herein may be implemented with modules (e.g., procedures, functions, and so on) that perform the functions described herein. These software codes may be stored in memory units and executed by processors. The memory unit may be implemented within the processor or external to the processor, in which case it can be communicatively coupled to the processor via various means as is known in the art.
The foregoing description includes examples of one or more embodiments. It is, of course, not possible to describe every conceivable combination of components or methodologies for purposes of describing the aforementioned embodiments, but one of ordinary skill in the art may recognize that many further combinations and permutations of various embodiments are possible. Accordingly, the embodiments described herein are intended to embrace all such alterations, modifications and variations that fall within the scope of the appended claims. Furthermore, as used in the specification or claims, the term "comprising" is intended to be inclusive in a manner similar to the term "comprising," as interpreted when employed as a transitional word in a claim. Furthermore, any use of the term "or" in the specification of the claims is intended to mean "non-exclusive or".
Claims (9)
1. The method for assisting real-time video monitoring of the expressway is characterized by comprising the following steps of:
s100, configuring unmanned aerial vehicle equipment information, and adding the unmanned aerial vehicle equipment information to a central management platform;
s200, various event information of the expressway is obtained in various modes, processed and sent to a central management platform;
s300, the central management platform preliminarily judges whether the current event needs to be processed, and when the event needs to be processed, unmanned aerial vehicle equipment nearby the event site is scheduled to patrol according to the position information and the unmanned aerial vehicle equipment information in the event information;
s400, the unmanned aerial vehicle equipment generates a navigation route according to the self position information and the event location information, and automatically flies to the event location;
s500, remotely controlling the unmanned aerial vehicle equipment by the central management platform, and sending the real-time monitoring video to the central management platform through the real-time monitoring video acquired by a camera of the unmanned aerial vehicle equipment;
s600, the central management platform judges the type and the grade of the event again, records the event detailed information, informs the corresponding user of the event detailed information, and further processes according to the event type.
2. The method for assisting real-time video monitoring of expressway according to claim 1, wherein in S100, configuring unmanned aerial vehicle equipment information comprises: numbering a plurality of unmanned aerial vehicles, respectively configuring the unmanned aerial vehicles to different positions of the expressway according to a certain distance, and carrying out one-to-one matching on the unmanned aerial vehicle numbers and the configured corresponding expressway position information.
3. The method for assisting real-time video monitoring of expressway according to claim 1, wherein in S200, various event information of expressway is obtained by a plurality of modes, including at least: and obtaining various event information of the expressway through a time analyzer, a high-definition monitoring video, user event reporting and third-party platform event reporting.
4. The method for assisting real-time video monitoring of expressway according to claim 1, wherein in S200, various event information of expressway is processed, specifically comprising: cleaning various input information, sorting to obtain an original event, performing event deduplication on the original event, and performing event aggregation on events from different sources to obtain a complete event containing type and location information.
5. The method for assisting real-time video monitoring of expressway according to claim 1, wherein in S300, the central management platform determines whether the current event needs to be processed, and the events to be processed at least include a road traffic accident event, a road congestion event, a road reverse event and a road parking event.
6. The method for assisting real-time video monitoring of expressway according to claim 1, wherein in S500, the central management platform remotely controls the unmanned aerial vehicle device, specifically comprising: the central management platform adjusts the position and the height of the unmanned aerial vehicle, determines an optimal observation position, and acquires real-time monitoring video through a camera of unmanned aerial vehicle equipment.
7. The method for assisting real-time video monitoring of expressway according to claim 1, wherein in S600, the central management platform again makes a judgment on the type and level of the event, wherein: event types include congestion events, reverse travel events, parking events, and traffic accident events; event ratings include three ratings, general, severe and particularly severe.
8. The method for assisting real-time video monitoring of expressway according to claim 1, wherein in S600, further processing is performed according to the event type, at least comprising: traffic is conducted, traffic police are informed of intervening traffic events, and ambulances are informed of reaching the event places.
9. A system for assisting real-time video monitoring of a highway, comprising: the system comprises an unmanned aerial vehicle equipment configuration unit, a highway event information acquisition unit, a central management platform and unmanned aerial vehicle equipment; wherein:
the unmanned aerial vehicle equipment configuration unit is used for pre-configuring unmanned aerial vehicles, numbering a plurality of unmanned aerial vehicles, respectively configuring the unmanned aerial vehicles to different positions of the expressway according to a certain distance, and carrying out one-to-one matching on the unmanned aerial vehicle numbers and the configured corresponding expressway position information;
the system comprises an expressway event information acquisition unit, a control unit and a control unit, wherein the expressway event information acquisition unit is used for acquiring various event information of an expressway in various modes and processing the various event information of the expressway;
the unmanned aerial vehicle equipment is used for generating a navigation route according to the self-position information and the event location information when the event needs to be processed, and automatically flying to the event location;
the central management platform is used for preliminarily judging whether the current event needs to be processed, and when the current event needs to be processed, unmanned aerial vehicle equipment near the event location is scheduled to be patrolled according to the position information in the event information and the unmanned aerial vehicle equipment information; the system is also used for remotely controlling the unmanned aerial vehicle equipment, acquiring a real-time monitoring video acquired by a camera of the unmanned aerial vehicle equipment, judging the type and the grade of the event again, recording event detailed information, informing a corresponding user of the event detailed information, and further processing according to the event type.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202211569246.1A CN116437044A (en) | 2022-12-08 | 2022-12-08 | Method and system for assisting real-time video monitoring of expressway |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202211569246.1A CN116437044A (en) | 2022-12-08 | 2022-12-08 | Method and system for assisting real-time video monitoring of expressway |
Publications (1)
Publication Number | Publication Date |
---|---|
CN116437044A true CN116437044A (en) | 2023-07-14 |
Family
ID=87089583
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202211569246.1A Pending CN116437044A (en) | 2022-12-08 | 2022-12-08 | Method and system for assisting real-time video monitoring of expressway |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN116437044A (en) |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN117391911A (en) * | 2023-12-08 | 2024-01-12 | 日照先森网络科技股份有限公司 | Smart city comprehensive management method and system |
-
2022
- 2022-12-08 CN CN202211569246.1A patent/CN116437044A/en active Pending
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN117391911A (en) * | 2023-12-08 | 2024-01-12 | 日照先森网络科技股份有限公司 | Smart city comprehensive management method and system |
CN117391911B (en) * | 2023-12-08 | 2024-02-27 | 日照先森网络科技股份有限公司 | Smart city comprehensive management method and system |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
US20240203247A1 (en) | An autonomous vehicle intelligent driving system with re-distribution of driving tasks | |
US20200168081A1 (en) | Intelligent road infrastructure system (iris): systems and methods | |
US11230243B2 (en) | Event-based connected vehicle control and response systems | |
AU2019266266B2 (en) | Systems and methods for driving intelligence allocation between vehicles and highways | |
US20190322367A1 (en) | Method of controlling an unmanned aerial road side unit drone | |
WO2018132378A2 (en) | Connected automated vehicle highway systems and methods | |
AU2018208404B2 (en) | Connected automated vehicle highway systems and methods | |
US12008893B2 (en) | Autonomous vehicle (AV) control system with roadside unit (RSU) network | |
CN111862656A (en) | Map updating method and device for intelligent carrier, storage medium and processor | |
CN116437044A (en) | Method and system for assisting real-time video monitoring of expressway | |
DE102022109939A1 (en) | VEHICLE LOCATION OCCUPANCY FORECAST | |
CN113112804A (en) | Intelligent high-speed comprehensive management and control method | |
CN116704787A (en) | Intelligent traffic control system and control method thereof | |
CN113034951A (en) | Intelligent driving system and intelligent driving method | |
US20230135603A1 (en) | Methods and systems for providing roadside drone service | |
CN111626598B (en) | Road information management system based on cloud computing | |
DE112021002831T5 (en) | ROAD-SIDE DETECTION AND WARNING SYSTEM AND PROCEDURES | |
US20240363003A1 (en) | Autonomous vehicle and center control system (avccs) for drone/tele driving or digital twins | |
US20240363004A1 (en) | Autonomous vehicle and center guidance system (avcgs) for drone/tele driving or digital twin | |
US20240363005A1 (en) | Autonomous vehicle intelligent control (avic) system with distributed ai computing | |
Lasky et al. | Vision-Based Sensor System for Site Monitoring: Wrong-Way Driving, Phase 1 | |
CN111862535A (en) | Railway peripheral collapse and rockfall monitoring and early warning system | |
CN116030621A (en) | Intelligent monitoring system based on remote communication | |
EP4456035A2 (en) | Connected automated vehicle highway system | |
AU2024227057A1 (en) | Intelligent road infrastructure system (IRIS): systems and methods |
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 |