CN118135779A

CN118135779A - Road condition information acquisition method, system, electronic equipment and storage medium

Info

Publication number: CN118135779A
Application number: CN202211547293.6A
Authority: CN
Inventors: 王袁媛
Original assignee: Botai Vehicle Networking Wuhan Co ltd
Current assignee: Botai Vehicle Networking Wuhan Co ltd
Priority date: 2022-12-02
Filing date: 2022-12-02
Publication date: 2024-06-04

Abstract

The embodiment of the application provides a road condition information acquisition method, a road condition information acquisition system, electronic equipment and a storage medium. The method comprises the following steps: receiving a road condition information acquisition instruction sent by a remote information processor of a target vehicle; responding to the road condition information acquisition instruction, and acquiring the vehicle position of the target vehicle and the road section position of the road section to be queried; based on the vehicle position and the road section position, planning and obtaining a flight path of the unmanned aerial vehicle corresponding to the target vehicle; controlling the unmanned aerial vehicle to fly from the vehicle position to the road section position based on the flight path, and acquiring road condition video information of the road section to be queried, which is shot by the unmanned aerial vehicle; transmitting the road condition video information to the target vehicle; and sharing the road condition video information. The embodiment of the application can know the road condition in advance, reduce the increment of the vehicle congestion and accelerate the road dredging.

Description

Road condition information acquisition method, system, electronic equipment and storage medium

Technical Field

The application relates to the technical field of unmanned aerial vehicles, in particular to a road condition information acquisition method, a system, electronic equipment and a storage medium.

Background

With the development of science and technology and the improvement of economic level, more and more users drive vehicles to go out. With the widespread use of vehicles, traffic jam phenomenon is increasing.

At present, a road section with congestion is usually checked through a navigation map aiming at a traffic congestion road section, and the position of the congestion in a certain road section can be checked through the navigation map, but the details of the congestion position cannot be checked, so that a user cannot know when the congestion can be ended, whether a driving route needs to be replaced or not, and the driving experience of the user is reduced.

Disclosure of Invention

The embodiment of the application provides a road condition information acquisition method, a system, electronic equipment and a storage medium, which are used for solving the problems that in the related art, a navigation map can only check the details of where a congestion is in a certain road section and cannot check the congestion position, a user cannot know when the congestion can be ended, whether a driving route needs to be replaced or not, and the driving experience of the user is reduced.

In order to solve the technical problems, the embodiment of the application is realized as follows: :

in a first aspect, an embodiment of the present application provides a method for obtaining traffic information, which is applied to a server, and the method includes the following steps:

receiving a road condition information acquisition instruction sent by a remote information processor of a target vehicle;

Responding to the road condition information acquisition instruction, and acquiring the vehicle position of the target vehicle and the road section position of the road section to be queried;

Based on the vehicle position and the road section position, planning and obtaining a flight path of the unmanned aerial vehicle corresponding to the target vehicle;

Controlling the unmanned aerial vehicle to fly from the vehicle position to the road section position based on the flight path, and acquiring road condition video information of the road section to be queried, which is shot by the unmanned aerial vehicle; ;

Transmitting the road condition video information to the target vehicle;

And sharing the road condition video information.

Optionally, the sharing the road condition video information includes the following steps: :

determining whether the road condition video information contains the information of forbidden sharing content; ;

and responding to the road condition video information without the content information which is forbidden to be shared, and sharing the road condition video information.

Optionally, after determining whether the road condition video information includes the prohibited sharing content, the method further includes the following steps:

responding to the road condition video information containing the forbidden sharing content information, and generating road condition indication information corresponding to the road section to be queried based on the road condition video information;

sharing the road condition indication information;

Wherein, the road condition indication information includes: at least one of traffic voice information and traffic text information.

Sharing the road condition video information to a session frame in a designated navigation map interface; or alternatively

And sharing the road condition video information to other vehicles which are in team travel with the target vehicle.

Optionally, after the sending the road condition video information to the target vehicle, the method further includes the following steps:

receiving a return request instruction sent by the unmanned aerial vehicle, and sending the return request instruction to the target vehicle;

And responding to a message sent by the target vehicle and indicating the original path of the unmanned aerial vehicle, controlling the unmanned aerial vehicle to fly from the target position to the vehicle position according to the flight path, and landing on the target vehicle.

Responding to a message sent by the target vehicle and indicating the unmanned aerial vehicle to change a return path, and acquiring a vehicle running path and vehicle running information of the target vehicle;

Acquiring the residual electric quantity information of the unmanned aerial vehicle and the flight information of the unmanned aerial vehicle;

Determining a first merging position of the target vehicle and the unmanned aerial vehicle according to the vehicle running information and the unmanned aerial vehicle flight information;

Controlling the unmanned aerial vehicle to fly to the first merging position and land on the target vehicle under the condition that the residual electric quantity information meets the condition of flying to the first merging position;

And under the condition that the residual electric quantity information does not meet the condition of flying to the first merging position, determining a second merging position of the target vehicle and the unmanned aerial vehicle based on the vehicle driving path and the residual electric quantity information, sending the second merging position to the target vehicle, controlling the unmanned aerial vehicle to fly to the second merging position and land on the target vehicle.

Optionally, based on the flight path, controlling the unmanned aerial vehicle to fly from the vehicle position to the road section position, and acquiring the road condition video information of the road section to be queried, which is shot by the unmanned aerial vehicle, including the following steps:

In the process of controlling the unmanned aerial vehicle to fly based on the flying path, determining whether an obstacle exists in a preset distance range from the unmanned aerial vehicle on the flying path based on the road condition video information;

and controlling the unmanned aerial vehicle to avoid the obstacle in response to the existence of the obstacle in a preset distance range from the unmanned aerial vehicle on the flight path.

Optionally, the method further comprises the steps of:

responding to the received vehicle position searching information of a first vehicle sent by a target user, and acquiring the user position of the target user and the first vehicle position of the first vehicle;

Planning a first flight path and a second flight path corresponding to the unmanned aerial vehicle based on the first vehicle position and the user position;

Controlling the unmanned aerial vehicle to fly from the first vehicle location to the user location based on the first flight path;

Controlling the drone to return from the user location to the first vehicle location based on the second flight path.

In a second aspect, an embodiment of the present application provides a traffic information acquiring system, including: server, target vehicle and remote information processor corresponding to the target vehicle,

The remote information processor is used for sending road condition information acquisition fingers and the vehicle position of the target vehicle to the server;

The server responds to the road condition information acquisition instruction to acquire the road section position of the road section to be queried; based on the vehicle position and the road section position, planning and obtaining a flight path of the unmanned aerial vehicle corresponding to the target vehicle; controlling the unmanned aerial vehicle to fly from the vehicle position to the road section position based on the flight path, and acquiring road condition video information of the road section to be queried, which is shot by the unmanned aerial vehicle; transmitting the road condition video information to the target vehicle; and sharing the road condition video information.

In a third aspect, an embodiment of the present application provides an electronic device, including: :

The road condition information acquisition system comprises a memory, a processor and a computer program which is stored in the memory and can run on the processor, wherein the computer program realizes the road condition information acquisition method according to any one of the above when being executed by the processor.

In a fourth aspect, an embodiment of the present application provides a readable storage medium, which when executed by a processor of an electronic device, enables the electronic device to perform the road condition information obtaining method described in any one of the above.

In the embodiment of the application, the road condition information acquisition instruction sent by the remote information processor of the target vehicle is received. And responding to the road condition information acquisition instruction, and acquiring the vehicle position of the target vehicle and the road section position of the road section to be queried. And obtaining the flight path of the unmanned aerial vehicle corresponding to the target vehicle based on the vehicle position and the road section position plan. And controlling the unmanned aerial vehicle to fly from the vehicle position to the road section position based on the flight path, and acquiring the road condition video information of the road section to be queried, which is shot by the unmanned aerial vehicle. And sending the road condition video information to the target vehicle, and sharing the road condition video information. According to the embodiment of the application, the details of the congestion position can be checked in time through the road condition video information of the road section to be queried, which is shot by the unmanned aerial vehicle loaded on the vehicle, so that a user can know when the congestion can be ended, whether to change the driving route or not is determined, and the driving experience of the user is improved. Meanwhile, the road condition video information can be shared, so that other vehicles or staff in the road section can know the detailed information of the congestion position in the road section, the road condition can be known in advance, the increment congestion vehicles are reduced, and the road dredging is accelerated.

The foregoing description is only an overview of the present application, and is intended to be implemented in accordance with the teachings of the present application in order that the same may be more clearly understood and to make the same and other objects, features and advantages of the present application more readily apparent.

Drawings

In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are needed in the description of the embodiments of the present application will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.

Fig. 1 is a flowchart illustrating steps of a method for acquiring traffic information according to an embodiment of the present application;

fig. 2 is a flowchart illustrating steps of a method for sharing video information of road conditions according to an embodiment of the present application;

fig. 3 is a flowchart illustrating steps of a method for sharing traffic indication information according to an embodiment of the present application;

FIG. 4 is a flowchart illustrating steps of another method for sharing video information under road conditions according to an embodiment of the present application;

fig. 5 is a flowchart of steps of a method for controlling return of an unmanned aerial vehicle according to an embodiment of the present application;

fig. 6 is a flowchart of steps of another method for controlling return flight of an unmanned aerial vehicle according to an embodiment of the present application;

fig. 7 is a flowchart of steps of a control method of an unmanned aerial vehicle according to an embodiment of the present application;

fig. 8 is a flowchart of steps of another unmanned aerial vehicle control method according to an embodiment of the present application;

Fig. 9 is a schematic structural diagram of a traffic information acquiring system according to an embodiment of the present application;

fig. 10 is a schematic structural diagram of an electronic device according to an embodiment of the present application.

Detailed Description

The following description of the embodiments of the present application will be made clearly and fully with reference to the accompanying drawings, in which it is evident that the embodiments described are some, but not all embodiments of the application. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.

Example 1

Referring to fig. 1, a step flowchart of a traffic information obtaining method according to an embodiment of the present application is shown, where the traffic information obtaining method may be applied to a server, as shown in fig. 1, and the traffic information obtaining method may include the following steps:

step 101: and receiving a road condition information acquisition instruction sent by a remote information processor of the target vehicle.

The embodiment of the application can be applied to a scene of collecting road condition video information in a road section by combining an unmanned aerial vehicle on a target vehicle.

The embodiment of the application can be applied to a server, namely, the execution subject is the server.

Telematics processor (TelematicsBOX, vehicle-mounted T-BOX), the Internet of vehicles system contains four parts: host computer, on-vehicle T-BOX, cell-phone APP and background system. The host is mainly used for video and audio entertainment in the vehicle and vehicle information display; the vehicle-mounted T-BOX is mainly used for communicating with a background system/mobile phone APP, and vehicle information display and control of the mobile phone APP are achieved.

In this embodiment, the unmanned aerial vehicle is loaded on the target vehicle, and the corresponding relationship between the target vehicle and the unmanned aerial vehicle can be saved on the server side, that is, the unmanned aerial vehicle needs to be bound with the vehicle first, and the cloud has the coding corresponding relationship of the vehicle and the unmanned aerial vehicle.

In a specific implementation, the unmanned aerial vehicle can be fixed on the top of the target vehicle, and the unmanned aerial vehicle can be controlled to take off through one-key control.

The road condition information obtaining instruction is an instruction for indicating to obtain the road condition information of the designated position of the road section to be queried.

In a specific implementation, when an owner of a target vehicle wants to obtain road condition information of a certain position of a road section to be queried, a designated page of a designated APP (Application) installed on an electronic device by the owner inputs the road section to be queried and the position to be queried, clicks a control for querying the road condition information to generate a road condition information obtaining instruction according to the road section to be queried and the position to be queried, and then sends the road condition information obtaining instruction to a remote information processor of the target vehicle. Further, the telematics processor of the target vehicle may transmit the traffic information acquisition instruction to the server. Thus, the server can receive the road condition information acquisition instruction sent by the remote information processor of the target vehicle.

After receiving the road condition information acquisition command sent by the telematics processor of the target vehicle, step 102 is performed.

Step 102: and responding to the road condition information acquisition instruction, and acquiring the vehicle position of the target vehicle and the road section position of the road section to be queried.

The vehicle position refers to the position where the target vehicle is currently located.

The road section position refers to a designated position in the road section to be queried, which needs to query road condition information.

After receiving the road condition information acquisition instruction sent by the remote information processor of the target vehicle, the vehicle position of the target vehicle and the road section position of the road section to be queried can be acquired in response to the road condition information acquisition instruction. Specifically, after the server receives the road condition information obtaining instruction, the road condition information obtaining instruction may be parsed to obtain the vehicle position of the target vehicle and the road section position of the road section to be queried.

After the vehicle position of the target vehicle and the link position of the link to be queried are acquired, step 103 is performed.

Step 103: and planning and obtaining the flight path of the unmanned aerial vehicle corresponding to the target vehicle based on the vehicle position and the road section position.

After the vehicle position of the target vehicle and the road section position of the road section to be queried are obtained, the flight path of the unmanned aerial vehicle corresponding to the target vehicle can be planned and obtained based on the vehicle position and the road section position.

In a specific implementation, when the flight path of the unmanned aerial vehicle is planned, the vehicle position may be used as a starting position, and the road section position may be used as an end position. Then, it is determined whether or not a no-fly zone exists in the empty region on the straight line from the vehicle position to the road section position. If no-fly zone exists, the empty area on the straight line between the vehicle position and the road section position can be used as the flight path of the unmanned aerial vehicle. If the no-fly zone exists, the no-fly zone can be bypassed, and the shortest flight path bypassing the no-fly zone is used as the flight path of the unmanned aerial vehicle.

After the flight path of the unmanned aerial vehicle corresponding to the target vehicle is obtained based on the vehicle position and the road segment position plan, step 104 is performed.

Step 104: and controlling the unmanned aerial vehicle to fly from the vehicle position to the road section position based on the flight path, and acquiring the road condition video information of the road section to be queried, which is shot by the unmanned aerial vehicle.

After the flight path of the unmanned aerial vehicle corresponding to the target vehicle is obtained based on the vehicle position and the road section position plan, the unmanned aerial vehicle can be controlled to fly from the vehicle position to the road section position based on the flight path, and the road condition video information of the road section to be queried, which is shot by the unmanned aerial vehicle, is obtained. In a specific implementation, the flight height and the flight speed of the unmanned aerial vehicle can be preset on the server side, and after the unmanned aerial vehicle is controlled to take off, the unmanned aerial vehicle is controlled to fly according to the planned flight path by the preset flight height and flight speed. When unmanned aerial vehicle takes off, shooting equipment that can open to set up on unmanned aerial vehicle to carry out video shooting and avoid. This implementation may be described in detail below in conjunction with fig. 7.

Referring to fig. 7, a flowchart illustrating steps of a method for controlling an unmanned aerial vehicle according to an embodiment of the present application is shown, where, as shown in fig. 7, the method for controlling an unmanned aerial vehicle may include: step 701 and step 702.

Step 701: and in the process of controlling the unmanned aerial vehicle to fly based on the flight path, determining whether an obstacle exists in a preset distance range from the unmanned aerial vehicle on the flight path based on the road condition video information.

In this embodiment, in the process of controlling the unmanned aerial vehicle to fly based on the flight path, whether an obstacle exists in a preset distance range from the unmanned aerial vehicle on the flight path of the unmanned aerial vehicle can be determined through the road condition video information shot by the shooting device on the unmanned aerial vehicle.

After determining that there is an obstacle within a preset distance range from the drone on the flight path of the drone, step 702 is performed.

Step 702: and controlling the unmanned aerial vehicle to avoid the obstacle in response to the existence of the obstacle in a preset distance range from the unmanned aerial vehicle on the flight path.

After determining that an obstacle exists in a preset distance range from the unmanned aerial vehicle on the flight path of the unmanned aerial vehicle, the unmanned aerial vehicle can be controlled to avoid the obstacle in response to the existence of the obstacle in the preset distance range from the unmanned aerial vehicle on the flight path.

According to the embodiment of the application, the situation that the unmanned aerial vehicle collides can be avoided by avoiding the obstacle existing in the preset distance range from the unmanned aerial vehicle on the flight path through the road condition video information shot by shooting and shooting on the unmanned aerial vehicle.

And after controlling the unmanned aerial vehicle to fly from the vehicle position to the road section position based on the flight path and acquiring the road condition video information of the road section to be queried, which is shot by the unmanned aerial vehicle, executing step 105.

Step 105: and sending the road condition video information to the target vehicle.

After the road condition video information of the road section to be queried, which is shot by the unmanned aerial vehicle, is acquired, the road condition video information can be sent to the target vehicle and displayed on a vehicle-mounted screen of the target vehicle, so that a vehicle owner of the target vehicle can check the road condition information in the road section to be queried in time and know the congestion condition of the road section position.

According to the embodiment of the application, the details of the congestion position can be checked in time through the road condition video information of the road section to be queried, which is shot by the unmanned aerial vehicle loaded on the vehicle, so that a user can know when the congestion can be ended, whether to change the driving route or not is determined, and the driving experience of the user is improved.

Step 106: and sharing the road condition video information.

After the road condition video information of the road section to be queried shot by the unmanned aerial vehicle is acquired, the road condition video information can be shared.

By sharing the road condition video information, the embodiment of the application can enable other vehicles or staff in the road section to know the detailed information of the congestion position in the road section so as to know the road condition in advance, reduce the increment congestion vehicles and accelerate the road dredging.

In this embodiment, when the road condition video information is shared, whether the road condition video information contains the content information which is forbidden to be shared can be further determined, if so, the sharing is forbidden, otherwise, the road condition video information can be shared. This implementation may be described in detail below in conjunction with fig. 2.

Referring to fig. 2, a step flowchart of a road condition video information sharing method provided by an embodiment of the present application is shown, and as shown in fig. 2, the road condition video information sharing method may include: step 201 and step 202.

Step 201: and determining whether the road condition video information contains the content information which is forbidden to be shared.

After the road condition video information of the road section to be queried is obtained, whether the road condition video information contains the content information which is forbidden to be shared or not can be judged, namely, the content of the road condition video information is checked to check whether the road condition video contains the content which is forbidden to be shared, such as blood fishy pictures, and the like.

After determining whether the traffic video information includes the prohibited content information, step 202 is performed.

Step 202: and responding to the road condition video information without the content information which is forbidden to be shared, and sharing the road condition video information.

And if the road condition video information is judged to contain the content information which is forbidden to be shared, the road condition video information is not shared.

If the road condition video information is judged not to contain the forbidden content information, the road condition video information can be shared.

According to the embodiment of the application, when the road condition video information is shared, whether the road condition video information contains the content which is forbidden to be shared is judged, if so, the road condition video is not shared, and the condition that the user is uncomfortable to share the road condition video at will can be avoided.

In this embodiment, the traffic video information includes the content information that is prohibited from being shared, and the traffic indication information may be generated based on the traffic video information and shared. This implementation may be described in detail below in conjunction with fig. 3.

Referring to fig. 3, a step flowchart of a road condition indicating information sharing method provided by an embodiment of the present application is shown, and as shown in fig. 3, the road condition indicating information sharing method may include: step 301 and step 302.

Step 301: and responding to the road condition video information containing the forbidden content information, and generating road condition indication information corresponding to the road section to be queried based on the road condition video information.

In this embodiment, the road condition indication information may include: at least one of indication information such as road condition voice information and road condition text information.

After judging that the road condition video information contains the sharing-prohibited content information, the road condition indication information corresponding to the road section to be queried can be generated based on the road condition video information in response to the fact that the road condition video information contains the sharing-prohibited content information. For example, the road section to be queried is analyzed to be seriously congested through the road condition video information, and the road section can be dredged only in a long time, so that voice or text indication information such as 'the road section is seriously congested, the dredging time is long, please wait for/please walk around', and the like can be output.

It will be appreciated that the above examples are only examples listed for better understanding of the technical solution of the embodiments of the present application, and are not to be construed as the only limitation of the present embodiments.

After the road condition indication information corresponding to the road section to be queried is generated based on the road condition video information, step 302 is performed.

Step 302: sharing the road condition indication information;

after the road condition indication information corresponding to the road section to be queried is generated based on the road condition video information, the road condition indication information can be shared.

According to the embodiment of the application, when the road condition video information contains the forbidden content information, the road condition indication information is generated and shared based on the road condition video information, so that the aim of prompting other users can be achieved.

In this embodiment, after the road condition video information is obtained, the road condition video information may be shared into a session frame in the designated navigation map interface, or may be shared into other vehicles that travel with the target vehicle team. This implementation may be described in detail below in conjunction with fig. 4.

Referring to fig. 4, a flowchart illustrating steps of another road condition video information sharing method according to an embodiment of the present application is shown, where, as shown in fig. 4, the road condition video information sharing method may include: step 401 and step 402.

Step 401: and sharing the road condition video information to a session frame in a designated navigation map interface.

Step 402: and sharing the road condition video information to other vehicles which are in team travel with the target vehicle.

In this embodiment, after obtaining the road condition video information of the road section to be queried, the road condition video information can be shared into a session frame in a designated navigation map interface, such as a Goldmap, a hundred-degree map, etc., so that a user using the designated navigation map can be prompted to know the road condition information of the road section to be queried in time. In the specific implementation, the current road condition video is shared to the navigation map, the navigation map can be shared to the current traffic jam group chat room in the background, the downloading is strictly forbidden to be forwarded, the road traffic method is observed, the group chat room currently blocking traffic is enabled to know the specific situation of the road jam in front in real time, and the like.

After the road condition video information of the road section to be queried is obtained, the road condition video information can be shared with other vehicles which are in team travel with the target vehicle, so that owners of the other vehicles can know the road condition information of the road section to be queried. In the specific implementation, a chat room with teammates forming a team trip can be established at the vehicle machine side, and then road condition video information can be shared into the chat room and the like.

In this embodiment, after sending the road condition video information to the target vehicle, the unmanned aerial vehicle may actively send a return request instruction to the server, and send the return request instruction to the target vehicle, and after the target vehicle sends a message indicating that the unmanned aerial vehicle returns to the original road, control the unmanned aerial vehicle to return to the vehicle position where the target vehicle is located. This implementation may be described in detail below in conjunction with fig. 5.

Referring to fig. 5, a step flowchart of an unmanned aerial vehicle return control method provided by an embodiment of the present application is shown, and as shown in fig. 5, the unmanned aerial vehicle return control method may include: step 501 and step 502.

Step 501: and receiving a return request instruction sent by the unmanned aerial vehicle, and sending the return request instruction to the target vehicle.

In this embodiment, after the unmanned aerial vehicle shoots and obtains the road condition video information of the road section to be queried, and the unmanned aerial vehicle stays at the road section position of the road section to be queried for a set time period (such as 2 minutes, etc.), the unmanned aerial vehicle can send a return request instruction to the server.

After the server receives the return request instruction sent by the unmanned aerial vehicle, the return request instruction may be sent to the target vehicle in response to the return request instruction sent by the unmanned aerial vehicle.

After the return request instruction is sent to the target vehicle, step 502 is executed.

Step 502: and responding to a message sent by the target vehicle and indicating the original path of the unmanned aerial vehicle, controlling the unmanned aerial vehicle to fly from the target position to the vehicle position according to the flight path, and landing on the target vehicle.

After sending the return request instruction to the target vehicle, if the owner of the target vehicle agrees to return the unmanned aerial vehicle in the original path, a message indicating the return of the unmanned aerial vehicle in the original path can be sent to the server.

After receiving the message sent by the target vehicle and indicating the original return of the unmanned aerial vehicle, the server can respond to the message sent by the target vehicle and indicating the original return of the unmanned aerial vehicle, and control the unmanned aerial vehicle to fly from the target position to the vehicle position according to the flight path and drop onto the target vehicle.

In this embodiment, when the owner of the target vehicle instructs the unmanned aerial vehicle to change the return path, the merging position of the target vehicle and the unmanned aerial vehicle may be determined according to the remaining power information of the unmanned aerial vehicle and the flight information of the unmanned aerial vehicle, and the target vehicle and the unmanned aerial vehicle are instructed to merge at the merging position. This implementation may be described in detail below in conjunction with fig. 6.

Referring to fig. 6, a step flow chart of another unmanned aerial vehicle return control method provided by the embodiment of the present application is shown, and as shown in fig. 6, the unmanned aerial vehicle return control method may include: : step 601, step 602, step 603, step 604, step 605 and step 606.

Step 601: and receiving a return request instruction sent by the unmanned aerial vehicle, and sending the return request instruction to the target vehicle.

After sending the return request instruction to the target vehicle, step 602 is performed.

Step 602: and responding to a message sent by the target vehicle and indicating the unmanned aerial vehicle to change a return path, and acquiring a vehicle running path and vehicle running information of the target vehicle.

After sending the return request instruction to the target vehicle, if the owner of the target vehicle changes the return path of the unmanned aerial vehicle, a message indicating that the unmanned aerial vehicle changes the return path may be sent to the server, where the message may carry the vehicle running path of the target vehicle and vehicle running information, where the vehicle running information may include the vehicle running speed.

After the vehicle travel path and the vehicle travel information of the target vehicle are acquired, step 604 is performed.

Step 603: and acquiring the residual electric quantity information of the unmanned aerial vehicle and the flight information of the unmanned aerial vehicle.

After the server obtains the vehicle running path and the vehicle running information of the target vehicle, the server can synchronously obtain the residual electric quantity information of the unmanned aerial vehicle and the flight information of the unmanned aerial vehicle. Wherein, unmanned aerial vehicle flight information can include: unmanned aerial vehicle's flight speed.

After the remaining power information of the unmanned aerial vehicle and the unmanned aerial vehicle flight information are acquired, step 604 is performed.

Step 604: and determining a first merging position of the target vehicle and the unmanned aerial vehicle according to the vehicle running information and the unmanned aerial vehicle flight information.

After the vehicle travel information of the target vehicle and the flight information of the unmanned aerial vehicle are acquired, a first junction position of the target vehicle and the unmanned aerial vehicle may be determined. Specifically, the position to which the target vehicle travels at each future point in time may be calculated according to the vehicle travel path and the vehicle travel speed of the target vehicle, and a predicted course trajectory may be generated in combination with a plurality of position points. Then, according to the flight speed of the unmanned aerial vehicle, the time from the unmanned aerial vehicle to each position in the predicted line track can be calculated, so that when the time is the same, the position point reached by the unmanned aerial vehicle can be calculated, and the position point is the first merging position of the target vehicle and the unmanned aerial vehicle.

After determining the first junction position of the target vehicle and the drone based on the vehicle travel information and the drone information, step 605 is performed, or step 606 is performed.

Step 605: and controlling the unmanned aerial vehicle to fly to the first merging position and land on the target vehicle under the condition that the residual electric quantity information meets the condition of flying to the first merging position.

After determining the first merging position of the target vehicle and the unmanned aerial vehicle according to the vehicle running information and the unmanned aerial vehicle information, whether the residual electric quantity information of the unmanned aerial vehicle meets the requirement that the unmanned aerial vehicle flies to the first merging position can be judged. If the remaining capacity information of the unmanned aerial vehicle meets the condition of flying to the first merging position, the unmanned aerial vehicle can be controlled to fly to the first merging position, and the unmanned aerial vehicle is controlled to drop onto the target vehicle.

Step 606: and under the condition that the residual electric quantity information does not meet the condition of flying to the first merging position, determining a second merging position of the target vehicle and the unmanned aerial vehicle based on the vehicle driving path and the residual electric quantity information, sending the second merging position to the target vehicle, controlling the unmanned aerial vehicle to fly to the second merging position and land on the target vehicle.

After determining the first merging position of the target vehicle and the unmanned aerial vehicle according to the vehicle running information and the unmanned aerial vehicle information, whether the residual electric quantity information of the unmanned aerial vehicle meets the requirement that the unmanned aerial vehicle flies to the first merging position can be judged. If the remaining capacity information of the unmanned aerial vehicle does not meet the condition of flying to the first merging position, a second merging position of the target vehicle and the unmanned aerial vehicle can be determined based on the vehicle driving path and the remaining capacity information, the second merging position is sent to the target vehicle, and the unmanned aerial vehicle is controlled to fly to the second meeting position and land on the target vehicle. Specifically, the furthest flight distance of the unmanned aerial vehicle can be determined according to the residual electric quantity information of the unmanned aerial vehicle, then a second merging position with the furthest flight distance is determined on a vehicle driving path, and the target vehicle is instructed to wait for the unmanned aerial vehicle at the second merging position, so that the unmanned aerial vehicle is controlled to drop onto the target vehicle after the unmanned aerial vehicle flies to the second merging position.

Of course, when the remaining power of the unmanned aerial vehicle cannot reach the vehicle running path of the target vehicle, a new merging position can be recalculated according to the current position of the target vehicle and the farthest flight distance of the unmanned aerial vehicle, so as to indicate that the target vehicle and the unmanned aerial vehicle are merged.

According to the method and the device for calculating the merging position, after the vehicle owner of the target vehicle changes the return route of the unmanned aerial vehicle, the situation that the unmanned aerial vehicle is insufficient in electric quantity and cannot merge with the vehicle can be avoided by calculating the merging position through combining the residual electric quantity of the unmanned aerial vehicle.

The application scenarios of the embodiments of the present application may include, but are not limited to, the following scenarios: :

1. at high speed, the front road is jammed, the damage condition of the front vehicle is not known at present, the front road jam condition is checked by using the unmanned aerial vehicle, and the unmanned aerial vehicle displays the front road condition on a vehicle screen. If the person is casualty, the driver can immediately dial an emergency rescue call; drivers find that traffic accidents are serious, and the traffic accidents possibly cannot pass at present, so that the drivers can stand horses to replace lines; the unmanned plane collects the front road condition in real time, returns to the current vehicle, prompts whether the current vehicle is shared with the current nearby vehicle by one key, clicks the one-key sharing, and the nearby vehicle receives the popup prompt and whether the current congestion condition is watched (and prompts that the current video is not allowed to be forwarded and downloaded, and obeys the road traffic law); the unmanned plane returns to the vehicle after collecting the front road condition, and the vehicle end prompts whether to synchronously share the road condition with team members, and the team members can know the front road condition in real time by clicking one-key synchronization.

2. Returning home and returning to the home in the past year, prompting bad weather and thicker accumulated snow on the road surface, and enabling a driver to send out an unmanned aerial vehicle to check the road surface condition in advance, and determining whether to change the line according to the actual condition.

In this embodiment, the unmanned aerial vehicle may further achieve the purpose of finding a vehicle by a person. The process of locating a person for a car may be described in detail below in connection with fig. 8.

Referring to fig. 8, a flowchart illustrating steps of another unmanned aerial vehicle control method according to an embodiment of the present application is shown, and as shown in fig. 8, the unmanned aerial vehicle control method may include: step 801, step 802, step 803, and step 804.

Step 801: and acquiring the user position of the target user and the first vehicle position of the first vehicle in response to receiving the vehicle position searching information of the first vehicle sent by the target user.

The method and the device can be applied to places such as a large parking lot, a user forgets the parking position after parking, and the vehicle parking position is quickly found through the unmanned aerial vehicle.

The user location refers to the location where the target user is currently located.

The first vehicle position refers to a position where the target user looks for a first vehicle stop of the vehicle position.

When the target user forgets the parking position of the first vehicle, vehicle position search information for the first vehicle may be transmitted to the server through the APP.

The server is pre-bound with the association relation between the first vehicle and the unmanned aerial vehicle, the current position of the target user can be obtained through the vehicle position searching information sent by the APP, and the first vehicle position of the first vehicle when the first vehicle is parked can be obtained through the unmanned aerial vehicle bound with the first vehicle.

After the user location of the target user and the first vehicle location of the first vehicle are obtained, step 802 is performed.

Step 802: and planning a first flight path and a second flight path corresponding to the unmanned aerial vehicle based on the first vehicle position and the user position.

The first flight path refers to a path of the drone from the first vehicle location to the user location.

The second flight path refers to a flight path from the user position to the first vehicle position after the unmanned aerial vehicle flies to the user position.

After the user position of the target user and the first vehicle position of the first vehicle are acquired, a first flight path and a second flight path corresponding to the unmanned aerial vehicle can be planned based on the first vehicle position and the user position. Specifically, when the unmanned aerial vehicle finds a person, the path can be planned in a straight-line flight manner, i.e., the straight-line path above the first vehicle position and the user position is used as the first flight path. After the unmanned aerial vehicle reaches the user position, a return route of the unmanned aerial vehicle, namely a second flight route, can be obtained according to a route which can be walked by the user in the parking place of the first vehicle, the first vehicle position and the current user position.

In the specific flight path planning process, if the no-fly zone exists above the air, the no-fly zone is bypassed, and the flight path of the unmanned aerial vehicle is planned according to the shortest path principle after the no-fly zone is bypassed.

After planning a first flight path and a second flight path for the drone based on the first vehicle location and the user location, step 803 is performed.

Step 803: controlling the unmanned aerial vehicle to fly from the first vehicle location to the user location based on the first flight path.

After planning a first flight path corresponding to the unmanned aerial vehicle based on the first vehicle position and the user position, the unmanned aerial vehicle may be controlled to fly from the first vehicle position to the user position based on the first flight path.

In a specific implementation, the flight height and the flight speed of the unmanned aerial vehicle can be preset on the server side, and the unmanned aerial vehicle is controlled to fly from the first vehicle position to the user position of the target user according to the set flight height and flight speed. In the flight process, the camera equipment arranged on the unmanned aerial vehicle can be started simultaneously, so that images in front of the unmanned aerial vehicle can be shot in real time, whether an obstacle exists in a preset distance in front of the unmanned aerial vehicle or not is judged, if the obstacle exists, the unmanned aerial vehicle is controlled to bypass the obstacle to fly, and the unmanned aerial vehicle returns to the first flight path to fly after bypassing the obstacle.

After controlling the drone to fly from the first vehicle location to the user location based on the first flight path, step 804 is performed.

Step 804: controlling the drone to return from the user location to the first vehicle location based on the second flight path.

After controlling the unmanned aerial vehicle to fly from the first vehicle location to the user location based on the first flight path, the user may be guided by the unmanned aerial vehicle back to the first vehicle location of the first vehicle. At this time, the drone may be controlled to return from the user location to the first vehicle location of the first vehicle based on the second flight path. Specifically, the unmanned aerial vehicle can be controlled to fly back according to the preset flying height and the flying speed, and if the unmanned aerial vehicle encounters an obstacle during the fly back, the unmanned aerial vehicle also needs to avoid the obstacle to fly until the unmanned aerial vehicle returns to the first vehicle position.

It can be appreciated that during the return voyage, the speed of the unmanned aerial vehicle should be lower than the speed at which the unmanned aerial vehicle flies from the first vehicle position to the user position, and the speed during the return voyage should be combined with the speed at which the pedestrian walks to fly, so that the situation that the unmanned aerial vehicle cannot be kept up by the pedestrian due to the too high speed of the unmanned aerial vehicle is avoided, and the user cannot find the first vehicle is caused.

For example, aiming at an underground parking garage, a driver takes out a mobile phone APP to send a request to an unmanned aerial vehicle (find a vehicle) through base station positioning (vehicle position and driver position), and after the unmanned aerial vehicle receives a signal, the unmanned aerial vehicle flies to the driver position through a shortest line according to the base station positioning position, so that the driver is led to find the vehicle; because unmanned aerial vehicle flies in the air, can avoid pedestrian and vehicle, effectively reduce the risk.

Aiming at an overground parking lot, through base station positioning (vehicle position and driver position), a driver takes out a mobile phone APP to send a request to an unmanned aerial vehicle (find a vehicle), and after the unmanned aerial vehicle receives a signal, the unmanned aerial vehicle flies to the driver position through a shortest line according to the base station positioning position, so that the driver is led to find the vehicle; because the vehicle is on the ground, the driver can see the position of the vehicle at the highest speed as long as the unmanned aerial vehicle takes off.

According to the embodiment of the application, the unmanned aerial vehicle can enable a user to quickly find the parking position of the vehicle, so that the vehicle searching time of a vehicle owner can be effectively reduced, and the in-out efficiency of the vehicle in the parking lot is improved.

According to the road condition information acquisition method provided by the embodiment of the application, the road condition information acquisition instruction sent by the remote information processor of the target vehicle is received. And responding to the road condition information acquisition instruction, and acquiring the vehicle position of the target vehicle and the road section position of the road section to be queried. And obtaining the flight path of the unmanned aerial vehicle corresponding to the target vehicle based on the vehicle position and the road section position plan. And controlling the unmanned aerial vehicle to fly from the vehicle position to the road section position based on the flight path, and acquiring the road condition video information of the road section to be queried, which is shot by the unmanned aerial vehicle. And sending the road condition video information to the target vehicle, and sharing the road condition video information. According to the embodiment of the application, the details of the congestion position can be checked in time through the road condition video information of the road section to be queried, which is shot by the unmanned aerial vehicle loaded on the vehicle, so that a user can know when the congestion can be ended, whether to change the driving route or not is determined, and the driving experience of the user is improved. Meanwhile, the road condition video information can be shared, so that other vehicles or staff in the road section can know the detailed information of the congestion position in the road section, the road condition can be known in advance, the increment congestion vehicles are reduced, and the road dredging is accelerated.

Example two

Referring to fig. 9, a schematic structural diagram of a traffic information acquiring system according to an embodiment of the present application is shown, and as shown in fig. 9, the traffic information acquiring system 900 may include: a server 910, a target vehicle 920 and a telematics processor 930 corresponding to the target vehicle 920,

The telematics unit 930 transmits a road condition information acquisition finger and a vehicle position of the target vehicle 920 to the server 910;

The server 910, in response to the road condition information obtaining instruction, obtains a road section position of a road section to be queried; based on the vehicle position and the road section position, planning to obtain a flight path of the unmanned aerial vehicle corresponding to the target vehicle 920; controlling the unmanned aerial vehicle to fly from the vehicle position to the road section position based on the flight path, and acquiring road condition video information of the road section to be queried, which is shot by the unmanned aerial vehicle; transmitting the road condition video information to the target vehicle 920; and sharing the road condition video information.

The road condition information acquisition system provided by the embodiment of the application receives the road condition information acquisition instruction sent by the remote information processor of the target vehicle. And responding to the road condition information acquisition instruction, and acquiring the vehicle position of the target vehicle and the road section position of the road section to be queried. And obtaining the flight path of the unmanned aerial vehicle corresponding to the target vehicle based on the vehicle position and the road section position plan. And controlling the unmanned aerial vehicle to fly from the vehicle position to the road section position based on the flight path, and acquiring the road condition video information of the road section to be queried, which is shot by the unmanned aerial vehicle. And sending the road condition video information to the target vehicle, and sharing the road condition video information. According to the embodiment of the application, the details of the congestion position can be checked in time through the road condition video information of the road section to be queried, which is shot by the unmanned aerial vehicle loaded on the vehicle, so that a user can know when the congestion can be ended, whether to change the driving route or not is determined, and the driving experience of the user is improved. Meanwhile, the road condition video information can be shared, so that other vehicles or staff in the road section can know the detailed information of the congestion position in the road section, the road condition can be known in advance, the increment congestion vehicles are reduced, and the road dredging is accelerated.

Example III

The embodiment of the application provides electronic equipment, which comprises: the road condition information acquisition system comprises a memory, a processor and a computer program which is stored in the memory and can run on the processor, wherein the computer program realizes the road condition information acquisition method when being executed by the processor.

Fig. 10 shows a schematic structural diagram of an electronic device 1000 according to an embodiment of the present invention. As shown in fig. 10, the electronic device 1000 includes a Central Processing Unit (CPU) 1001 that can perform various appropriate actions and processes according to computer program instructions stored in a Read Only Memory (ROM) 1002 or computer program instructions loaded from a storage unit 1008 into a Random Access Memory (RAM) 1003. In the RAM 1003, various programs and data required for the operation of the electronic apparatus 1000 can also be stored. The CPU 1001, ROM 1002, and RAM 1003 are connected to each other by a bus 1004. An input/output (I/O) interface 1005 is also connected to bus 1004.

Various components in the electronic device 1000 are connected to the I/O interface 1005, including: an input unit 1006 such as a keyboard, mouse, microphone, etc.; an output unit 1007 such as various types of displays, speakers, and the like; a storage unit 1008 such as a magnetic disk, an optical disk, or the like; and communication unit 1009 such as a network card, modem, wireless communication transceiver, etc. Communication unit 1009 allows electronic device 1000 to exchange information/data with other devices via a computer network, such as the internet, and/or various telecommunications networks.

The various procedures and processes described above may be performed by the processing unit 1001. For example, the methods of any of the embodiments described above may be implemented as a computer software program tangibly embodied on a computer-readable medium, such as the storage unit 1008. In some embodiments, part or all of the computer program may be loaded and/or installed onto the electronic device 1000 via the ROM1002 and/or the communication unit 1009. When the computer program is loaded into RAM1003 and executed by CPU1001, one or more actions in the method described above may be performed.

Example IV

The embodiment of the application provides a computer readable storage medium, on which a computer program is stored, which when executed by a processor, implements each process of the above road condition information obtaining method embodiment, and can achieve the same technical effects, so that repetition is avoided, and no further description is provided herein. The computer readable storage medium is, for example, a Read-Only Memory (ROM), a random access Memory (Random Access Memory RAM), a magnetic disk or an optical disk.

It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.

From the above description of the embodiments, it will be clear to those skilled in the art that the above-described embodiment method may be implemented by means of software plus a necessary general hardware platform, but of course may also be implemented by means of hardware, but in many cases the former is a preferred embodiment. Based on such understanding, the technical solution of the present application may be embodied essentially or in a part contributing to the prior art in the form of a software product stored in a storage medium (e.g. ROM/RAM, magnetic disk, optical disk) comprising instructions for causing a terminal (which may be a mobile phone, a computer, a server, an air conditioner, or a network device, etc.) to perform the method according to the embodiments of the present application.

The embodiments of the present application have been described above with reference to the accompanying drawings, but the present application is not limited to the above-described embodiments, which are merely illustrative and not restrictive, and many forms may be made by those having ordinary skill in the art without departing from the spirit of the present application and the scope of the claims, which are to be protected by the present application.

Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the solution. 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 application.

It will be clear to those skilled in the art that, for convenience and brevity of description, specific working procedures of the above-described systems, apparatuses and units may refer to corresponding procedures in the foregoing method embodiments, and are not repeated herein.

In the embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other manners. For example, the apparatus embodiments described above are merely illustrative, e.g., the division of the units is merely a logical function division, and there may be additional divisions when actually implemented, e.g., multiple units or components may be combined or integrated into another system, or some features may be omitted or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be an indirect coupling or communication connection via some interfaces, devices or units, which may be in electrical, mechanical or other form.

The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

In addition, each functional unit in the embodiments of the present application may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit.

The functions, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application may be embodied essentially or in a part contributing to the prior art or in a part of the technical solution, in the form of a software product stored in a storage medium, comprising several instructions for causing a computer device (which may be a personal computer, a server, a network device, etc.) to perform all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: a usb disk, a removable hard disk, a ROM, a RAM, a magnetic disk, or an optical disk, etc.

The foregoing is merely illustrative of the present application, and the present application is not limited thereto, and any person skilled in the art will readily recognize that variations or substitutions are within the scope of the present application. Therefore, the protection scope of the application is subject to the protection scope of the claims.

Claims

1. The road condition information acquisition method is applied to a server and is characterized by comprising the following steps:

Transmitting the road condition video information to the target vehicle;

And sharing the road condition video information.

2. The method of claim 1, the sharing the traffic video information, comprising the steps of:

3. The method of claim 2, further comprising, after said determining whether the road condition video information contains the prohibited sharing content, the steps of:

sharing the road condition indication information;

4. The method of claim 1, the sharing the traffic video information, comprising the steps of:

5. The method of claim 1, further comprising, after said transmitting said traffic video information to said target vehicle, the steps of:

6. The method of claim 1, further comprising, after said transmitting said traffic video information to said target vehicle, the steps of:

7. The method according to claim 1, wherein the controlling the unmanned aerial vehicle to fly from the vehicle position to the road section position based on the flight path and acquiring the road condition video information of the road section to be queried, which is shot by the unmanned aerial vehicle, comprises the following steps:

8. The method of claim 1, further comprising the step of:

9. A traffic information acquisition system, the system comprising: the remote information processing device comprises a server, a target vehicle and a remote information processor corresponding to the target vehicle,

10. An electronic device, comprising:

a memory, a processor, and a computer program stored on the memory and executable on the processor, which when executed by the processor, implements the traffic information acquisition method according to any one of claims 1 to 8.

11. A readable storage medium, wherein instructions in the storage medium, when executed by a processor of an electronic device, enable the electronic device to perform the road condition information obtaining method of any one of claims 1 to 8.