CN105225508B - Road condition advisory method and device - Google Patents
Road condition advisory method and device Download PDFInfo
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- CN105225508B CN105225508B CN201510633818.1A CN201510633818A CN105225508B CN 105225508 B CN105225508 B CN 105225508B CN 201510633818 A CN201510633818 A CN 201510633818A CN 105225508 B CN105225508 B CN 105225508B
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Abstract
The disclosure discloses a kind of road condition advisory method and device, belongs to field of traffic safety.Methods described includes：Obtain the driving performance parameter for the vehicle bound with the unmanned aerial vehicle；Obtain the traffic information in the vehicle front preset distance；It is that the vehicle carries out road condition advisory according to the driving performance parameter and the traffic information.By obtaining the driving performance parameter of vehicle, and the traffic information of the vehicle front is obtained, think that vehicle carries out road condition advisory；Solve in correlation technique because driver can not accurately judge front road conditions, cause that emergency situations occur in motion, the problem of security can not be protected；The road conditions in vehicle front section can accurately be known by having reached, be prevented effectively from emergency situations during traveling, the effect of security when improving traveling.
Description
Technical field
This disclosure relates to field of traffic safety, more particularly to a kind of road condition advisory method and device.
Background technology
As traffic is increasingly crowded caused by the increasing of private car, increasing user's selection light roadster trip, such as
Electric Scooter, bicycle, wheelbarrow etc..
Because light roadster is compared with the influence for being vulnerable to concavo-convex road conditions, when user is gone on a journey using light roadster, it is necessary to which the moment is observed
Front road conditions.But at the section of some zig zag unsuitable travelings such as section or uphill way, user often can not be accurate
Judge front road conditions, and then cause the generation of emergency situations in motion, security can not be protected.
The content of the invention
The disclosure provides a kind of road condition advisory method and device.The technical scheme is as follows：
It is described applied in unmanned aerial vehicle according to the first aspect of the embodiment of the present disclosure there is provided a kind of road condition advisory method
Method includes：
Obtain the driving performance parameter for the vehicle bound with the unmanned aerial vehicle；
Obtain the traffic information in the vehicle front preset distance；
It is that the vehicle carries out road condition advisory according to the driving performance parameter and the traffic information.
Optionally, the driving performance parameter for the vehicle that the acquisition is bound with the unmanned aerial vehicle, including：
Set up and be connected with the vehicle, obtain the model for the vehicle that the vehicle is sent, institute is obtained from Cloud Server
State the driving performance parameter corresponding to model；Or,
Set up and be connected with the vehicle, obtain the driving performance parameter that the vehicle is sent；Or,
The ginseng of the driving performance parameter for obtaining the vehicle is sent to the smart machine bound with the unmanned aerial vehicle
Number obtains request, and the parameter acquiring asks to feed back the driving performance ginseng of the vehicle for triggering the smart machine
Number, receives the driving performance parameter for the vehicle that the smart machine is sent；
Wherein, the driving performance parameter, which includes the ruling grade that can travel of the vehicle, the vehicle, to travel
Maximal rate, the vehicle can drive safely road surface evenness degree, for indicating whether the vehicle can be in not level road
At least one of parameter of face traveling.
Optionally, the traffic information obtained in the vehicle front preset distance, including：
Obtain the location data of the vehicle；
According to the location data, the road conditions image in the vehicle front preset distance is gathered；
Image recognition is carried out to the road conditions image, the traffic information is obtained.
Optionally, it is described according to the driving performance parameter and the traffic information, it is that the vehicle carries out road condition advisory,
Including：
When the traffic information indicates the front section condition that meets that no through traffic, the vehicle is reminded to detour traveling,
Wherein, it is described to forbid communication condition to be that the front section is bicycle lane, front section Uneven road,
Or, the ruling grade in the front section is more than the ruling grade that the vehicle can be travelled.
Optionally, it is described to remind the vehicle to detour traveling, including：
Warning message is sent to the vehicle, or, warning message is sent to the smart machine that the unmanned aerial vehicle is bound,
The warning message is used to remind the front section not utilize traveling.
It is described applied in unmanned aerial vehicle according to the second aspect of the embodiment of the present disclosure there is provided a kind of road condition advisory device
Device includes：
Parameter acquisition module, is configured as obtaining the driving performance parameter for the vehicle bound with the unmanned aerial vehicle；
Road conditions acquisition module, is configured as obtaining the traffic information in the vehicle front preset distance；
Navigation module, is configured as the driving performance parameter and the road conditions obtained according to the parameter acquisition module
The traffic information that acquisition module is obtained, is that the vehicle carries out road condition advisory.
Optionally, the parameter acquisition module, including：
First acquisition submodule, is configured as being connected with vehicle foundation, obtains the vehicle that the vehicle is sent
Model, obtain the driving performance parameter corresponding to the model from Cloud Server；Or,
Second acquisition submodule, is configured as being connected with vehicle foundation, obtains the traveling that the vehicle is sent
Performance parameter；Or,
Sending submodule, is configured as sending for obtaining the vehicle to the smart machine bound with the unmanned aerial vehicle
Driving performance parameter parameter acquiring request, the parameter acquiring, which asks to be used for trigger the smart machine, feeds back the vehicle
The driving performance parameter, receiving submodule is configured as receiving the row for the vehicle that the smart machine is sent
Sail performance parameter；
Wherein, the driving performance parameter, which includes the ruling grade that can travel of the vehicle, the vehicle, to travel
Maximal rate, the vehicle can drive safely road surface evenness degree, for indicating whether the vehicle can be in not level road
At least one of parameter of face traveling.
Optionally, the road conditions acquisition module, including：
3rd acquisition submodule, is configured as obtaining the location data of the vehicle；
IMAQ submodule, is configured as the location data obtained according to the 3rd acquisition submodule, collection
Road conditions image in the vehicle front preset distance；
Image recognition submodule, is configured as scheming the road conditions image that described image collection submodule is collected
As identification, the traffic information is obtained.
Optionally, the navigation module, is additionally configured to：
When the traffic information indicates the front section condition that meets that no through traffic, the vehicle is reminded to detour traveling,
Wherein, it is described to forbid communication condition to be that the front section is bicycle lane, front section Uneven road,
Or, the ruling grade in the front section is more than the ruling grade that the vehicle can be travelled.
Optionally, the navigation module, is additionally configured to：
Warning message is sent to the vehicle, or, warning message is sent to the smart machine that the unmanned aerial vehicle is bound,
The warning message is used to remind the front section not utilize traveling.
It is described applied in unmanned aerial vehicle according to the third aspect of the embodiment of the present disclosure there is provided a kind of road condition advisory device
Device includes：
Processor；
Memory for storing the processor-executable instruction；
Wherein, the processor is configured as：
Obtain the driving performance parameter for the vehicle bound with the unmanned aerial vehicle；
Obtain the traffic information in the vehicle front preset distance；
It is that the vehicle carries out road condition advisory according to the driving performance parameter and the traffic information.
The technical scheme provided by this disclosed embodiment can include the following benefits：
By obtaining the driving performance parameter of vehicle, and the traffic information of the vehicle front is obtained, think that vehicle enters walking along the street
Condition is pointed out；Due to combining the driving performance parameter of vehicle and the traffic information of vehicle front, therefore can accurately it determine
Whether vehicle can continue traveling, solve in correlation technique because driver can not accurately judge front road conditions, cause in traveling
Shi Fasheng emergency situations, the problem of security can not be protected；The road conditions in vehicle front section can accurately be known by having reached,
Emergency situations during traveling are prevented effectively from, the effect of security when improving traveling.
It should be appreciated that the general description of the above and detailed description hereinafter are only exemplary, this can not be limited
It is open.
Brief description of the drawings
Accompanying drawing herein is merged in specification and constitutes the part of this specification, shows the implementation for meeting the disclosure
Example, and be used in specification to explain the principle of the disclosure together.
Fig. 1 is the signal of the implementation environment involved by a kind of road condition advisory method exemplified according to exemplary partial implementation
Figure；
Fig. 2 is a kind of flow chart of road condition advisory method according to an exemplary embodiment；
Fig. 3 A are a kind of flow charts of road condition advisory method according to another exemplary embodiment；
Fig. 3 B its be a kind of acquisition vehicle according to an exemplary embodiment driving performance parameter flow chart；
Fig. 3 C are the schematic diagrames according to a kind of carry out road condition advisory provided in an exemplary embodiment；
Fig. 4 is a kind of block diagram of road condition advisory device according to an exemplary embodiment；
Fig. 5 is a kind of block diagram of road condition advisory device according to another exemplary embodiment；
Fig. 6 is a kind of block diagram of road condition advisory device according to another exemplary embodiment.
Embodiment
Here exemplary embodiment will be illustrated in detail, its example is illustrated in the accompanying drawings.Following description is related to
During accompanying drawing, unless otherwise indicated, the same numbers in different accompanying drawings represent same or analogous key element.Following exemplary embodiment
Described in embodiment do not represent all embodiments consistent with the disclosure.On the contrary, they be only with it is such as appended
The example of the consistent apparatus and method of some aspects be described in detail in claims, the disclosure.
Fig. 1 is the signal of the implementation environment involved by a kind of road condition advisory method exemplified according to exemplary partial implementation
Figure, as shown in figure 1, the implementation environment can include unmanned aerial vehicle 110, vehicle 120 and smart machine 130.
Unmanned aerial vehicle 110 can be used for gathering image.Unmanned aerial vehicle 110 can also be bound with vehicle 120, and can be passed through
Wireless mode is attached with vehicle 120.Here the wireless mode said can be Wi-Fi, (English full name：Wireless-
Fidelity, Chinese full name：Wireless Fidelity), or the wireless network mode such as bluetooth.
Here the vehicle 120 said can be high capacity waggon, private car, two wheeler (including bicycle, electric car etc.), solely
Car etc. is taken turns, the present embodiment is to the type of vehicle 120 without limiting.
Smart machine 130 can be bound and be connected with unmanned aerial vehicle 110, vehicle 120.Here the smart machine said
130 can be for smart mobile phone, onboard system, tablet personal computer, wearable device etc., and the wearable device said here can be with
The equipment that be may be worn on for Intelligent bracelet, intelligent key chain, intelligent watch, intelligent tie clip, intelligent ring etc. with user.
Optionally, the implementation environment can also include server 140.Unmanned aerial vehicle 110 can be set up with server 140 to be connected
Connect, it is possible to interacted from server 140.Smart machine 130 can be interacted between server 140.
Fig. 2 is a kind of flow chart of road condition advisory method according to an exemplary embodiment, as shown in Fig. 2 the road
Condition reminding method is applied in the unmanned aerial vehicle 110 in the implementation environment shown in Fig. 1, is comprised the following steps.
In step 201, the driving performance parameter for the vehicle bound with unmanned aerial vehicle is obtained.
It is to realize the parameter required by specified performance in motion that driving performance parameter, which is used to identify vehicle,.
In step 202., the traffic information in the vehicle front preset distance is obtained.
Traffic information is used for the information for describing the situation of travel.
In step 203, according to the driving performance parameter and the traffic information, road condition advisory is carried out for the vehicle.
In summary, the road condition advisory method provided in the embodiment of the present disclosure, by obtaining the driving performance parameter of vehicle,
And the traffic information of the vehicle front is obtained, think that vehicle carries out road condition advisory；Due to combining the driving performance parameter of vehicle
And the traffic information of vehicle front, therefore can accurately determine whether vehicle can continue traveling, solve correlation technique
It is middle to cause that emergency situations occur in motion because driver accurately judge front road conditions, what security can not be protected
Problem；The road conditions in vehicle front section can accurately be known by having reached, be prevented effectively from emergency situations during traveling, improve traveling
When security effect.
Fig. 3 A are a kind of flow charts of road condition advisory method according to another exemplary embodiment, as shown in Figure 3A,
The road condition advisory method is applied in the unmanned aerial vehicle 110 in the implementation environment shown in Fig. 1, is comprised the following steps.
In step 301, the driving performance parameter for the vehicle bound with the unmanned aerial vehicle is obtained.
Here the driving performance parameter for the vehicle said, which includes the ruling grade that can travel of the vehicle, the vehicle, to manage it
Road surface evenness degree that the maximal rate sailed, the vehicle can drive safely, for indicating whether the vehicle can be in uneven road surface
At least one of parameter of traveling.
In actual applications, refer to shown in Fig. 3 B, it is a kind of acquisition vehicle according to an exemplary embodiment
Driving performance parameter flow chart, in figure 3b, unmanned aerial vehicle obtain with the unmanned aerial vehicle bind vehicle driving performance
Parameter can at least include following three kinds of modes：
In first way 301a, set up and be connected with the vehicle, the model of the vehicle of vehicle transmission is obtained, from cloud
Server obtains the driving performance parameter corresponding to the model.
Unmanned aerial vehicle can first be set up with vehicle and be connected.
Optionally, unmanned aerial vehicle can be set up with vehicle by the wireless network such as WiFi or bluetooth connected mode and is connected.
After unmanned aerial vehicle is first set up with vehicle and is connected, unmanned aerial vehicle can be sent to vehicle for acquisition request vehicle
The first of model obtains request, and this first obtains request and be used to trigger the vehicle feedback its model, and unmanned aerial vehicle receives the vehicle
The model of the vehicle of feedback.
Then, the unmanned aerial vehicle can be sent to server for the driving performance parameter corresponding to the acquisition request model
Second obtain request, this second obtain request be used for trigger server lookup and feed back the driving performance corresponding to the model ginseng
Number, corresponding, unmanned aerial vehicle can then receive the driving performance parameter of the model of server feedback.
Optionally, after unmanned aerial vehicle and vehicle are set up and be connected, vehicle can constantly broadcast the message, in the message at least
Model including the vehicle, the model that unmanned aerial vehicle is broadcasted according to vehicle is sent for the acquisition request model institute to server
The second of corresponding driving performance parameter obtains request.
In second way 301b, set up and be connected with the vehicle, obtain the driving performance parameter of vehicle transmission.
When actually realizing, the driving performance parameter of vehicle can be stored in advance in the storage chip of vehicle, when the car
With unmanned aerial vehicle set up be connected after, the driving performance parameter of this in storage chip directly can be sent to unmanned aerial vehicle by vehicle,
Corresponding, unmanned aerial vehicle can directly receive the driving performance parameter of vehicle transmission.
Optionally, after unmanned aerial vehicle and vehicle, which are set up, to be connected, unmanned aerial vehicle can also send to vehicle and be obtained for request
The 3rd of the driving performance parameter of the vehicle is taken to obtain request, the 3rd, which obtains request, is used to triggering the vehicle feedback vehicle
Driving performance parameter, corresponding, unmanned aerial vehicle can then receive the driving performance parameter of vehicle transmission.
Optionally, vehicle can also constantly be broadcast the message, and the driving performance parameter of the vehicle is at least included in the message,
Unmanned aerial vehicle receives the message of vehicle broadcast, and obtains from the message driving performance parameter of the vehicle.
In the third mode 301c, the row for obtaining the vehicle is sent to the smart machine bound with the unmanned aerial vehicle
The parameter acquiring request of performance parameter is sailed, the parameter acquiring asks to feed back the travelling of the vehicle for triggering the smart machine
Energy parameter, receives the driving performance parameter of the vehicle of smart machine transmission.
Unmanned aerial vehicle can be bound with smart machine, and sent and be used for the smart machine bound with the unmanned aerial vehicle
The parameter acquiring request of the driving performance parameter of the acquisition request vehicle.Smart machine receive the parameter acquiring request after,
The driving performance parameter of the vehicle can be then obtained, and by the driving performance parameter feedback of acquisition to unmanned aerial vehicle.
Optionally, smart machine is when obtaining the driving performance parameter of the vehicle, and smart machine can retrieve surrounding
The vehicles identifications of vehicle broadcast, and the user account logged on the vehicles identifications and smart machine or the smart machine is carried out
Binding, and the inquiry request for carrying the vehicles identifications is sent to server, the inquiry request should for triggering server feedback
The driving performance parameter of the model of vehicle and the vehicle.Smart machine can by the model of the vehicle obtained from server with
And the driving performance parameter of the vehicle is stored, or by the model of the vehicle and the driving performance parameter of the vehicle with being somebody's turn to do
User account carries out binding storage.
In order to estimate the road conditions in front section for vehicle, the present embodiment may refer to following to step 302 to step
304 description.
In step 302, the location data of the vehicle is obtained.
Unmanned aerial vehicle, can be in the following way when obtaining the location data of the vehicle：Unmanned aerial vehicle is carried out with vehicle
Onboard system or alignment system in interconnection, vehicle can be positioned to the position of vehicle in real time, obtain the location data of vehicle,
And in real time send location data to unmanned aerial vehicle, now unmanned aerial vehicle can obtain the location data of the vehicle in real time.
Optionally, unmanned aerial vehicle can also at predetermined time intervals be spaced to vehicle and send for acquisition request location data
Positioning obtains request, and vehicle, can be by determining that onboard system or alignment system positioning are obtained after positioning acquisition request is received
Position data are sent to unmanned aerial vehicle.
In step 303, according to the location data, the road conditions image in the vehicle front preset distance is gathered.
Here the preset distance said can be set according to actual conditions, such as can be according to the current speed per hour of vehicle
To set, such as, the preset distance can be related in forward direction to the speed per hour that the vehicle is current, namely the current speed per hour of the vehicle is got over
It hurry up, the preset distance is bigger, the current speed per hour of the vehicle is slower, the preset distance is smaller.
Optionally, the preset distance can also can be shot according to camera on unmanned aerial vehicle maximum distance is set,
Such as, the preset distance can be related in forward direction to the maximum distance that camera on the unmanned aerial vehicle can be shot, namely this is taken the photograph
The maximum distance that picture head can be shot is longer, and the preset distance is bigger, and the maximum distance that the camera can be shot is shorter, and this is pre-
Set a distance is smaller.
Optionally, the preset distance be able to can be shot most according to the current speed per hour and unmanned aerial vehicle camera of vehicle
It is remote to set.
For example, the preset distance can be 100m, 500m or 1km etc., and the present embodiment is not limited preset distance
It is fixed.
Due to the limited line-of-sight range of the driver of vehicle, in order to can guarantee that driver can learn the road in front section in advance
Condition, unmanned aerial vehicle can determine the current position of vehicle according to the location data of vehicle, then gather the pre- spacing of the vehicle front
From interior road conditions image.
Optionally, can be according to nobody when unmanned aerial vehicle needs to shoot the road conditions image in vehicle front preset distance
The height of aircraft, preset distance, with the distance between vehicle and relative angle etc. the visual angle of camera in unmanned aerial vehicle is adjusted,
To ensure that camera can collect the road conditions image in the vehicle front preset distance.
It should be noted that the distance between the unmanned aerial vehicle said here and vehicle can be fixed, namely in advance
It is setting or dynamic change, now unmanned aerial vehicle can according to the location data and unmanned aerial vehicle of vehicle from
The location data that body positioning is obtained, determines the distance between unmanned aerial vehicle and vehicle and relative angle.
Optionally, unmanned aerial vehicle can be synchronous with the speed per hour of vehicle, namely the speed per hour of vehicle can send nobody in real time
Aircraft, unmanned aerial vehicle adjusts the speed per hour of itself flight according to the speed per hour.
Optionally, vehicle onboard system can in real time to unmanned aerial vehicle send vehicle present speed, unmanned aerial vehicle according to
The present speed of the vehicle received adjusts itself flying speed in the horizontal direction.So, unmanned aerial vehicle only needs
Calculate once or at predetermined time intervals interval calculation once with the distance between vehicle and relative angle.
In step 304, image recognition is carried out to the road conditions image, obtains traffic information.
, can be according to existing image recognition technology, to obtain the road of road conditions when carrying out image recognition to road conditions image
Condition information.The technology that road conditions identification is carried out to road conditions image is that those of ordinary skill in the art can realize, here just not
Repeat again.
In step 305, according to the driving performance parameter and the traffic information, road condition advisory is carried out for the vehicle.
Unmanned aerial vehicle can determine whether to remind vehicle to enter walking along the street according to the driving performance parameter of traffic information and vehicle
Condition is pointed out.
For example, when the traffic information indicates the front section condition that meets that no through traffic, the vehicle is reminded to detour row
Sail, that is said here forbids communication condition to be that the front section is bicycle lane, the front section Uneven road, or, before this
The ruling grade in square section is more than the ruling grade that the vehicle can be travelled.
Again for example, when the traffic information indicates that front section meets current condition, the normal vehicle operation is reminded.
Unmanned aerial vehicle remind the vehicle detour traveling when, can to the vehicle send warning message, or, can to
The smart machine of unmanned aerial vehicle binding sends warning message, and the warning message is used to remind the front section not utilize traveling.
Refer to shown in Fig. 3 C, it is the signal according to a kind of carry out road condition advisory provided in an exemplary embodiment
Figure, in fig. 3 c, unmanned aerial vehicle 110 judge the maximum in front section according to the road conditions image in the front section of vehicle 120 of collection
When the gradient is more than the ruling grade that the vehicle can be travelled, warning message is sent to vehicle, the warning message is " front section has
Gao Po, please detour ".
In summary, the road condition advisory method provided in the embodiment of the present disclosure, by obtaining the driving performance parameter of vehicle,
And the traffic information of the vehicle front is obtained, think that vehicle carries out road condition advisory；Due to combining the driving performance parameter of vehicle
And the traffic information of vehicle front, therefore can accurately determine whether vehicle can continue traveling, solve correlation technique
It is middle to cause that emergency situations occur in motion because driver accurately judge front road conditions, what security can not be protected
Problem；The road conditions in vehicle front section can accurately be known by having reached, be prevented effectively from emergency situations during traveling, improve traveling
When security effect.
Following is disclosure device embodiment, can be used for performing method of disclosure embodiment.It is real for disclosure device
The details not disclosed in example is applied, method of disclosure embodiment is refer to.
Fig. 4 is a kind of block diagram of road condition advisory device according to an exemplary embodiment, as shown in figure 4, the road conditions
Suggestion device is applied in the unmanned aerial vehicle 110 in implementation environment shown in Fig. 1, and the road condition advisory device includes but is not limited to：Ginseng
Number acquisition module 410, road conditions acquisition module 420 and navigation module 430.
Parameter acquisition module 410, is configured as obtaining the driving performance parameter for the vehicle bound with the unmanned aerial vehicle；
Road conditions acquisition module 420, is configured as obtaining the traffic information in the vehicle front preset distance；
Navigation module 430, is configured as the driving performance parameter and the road conditions obtained according to the parameter acquisition module 410
The traffic information that acquisition module 420 is obtained, road condition advisory is carried out for the vehicle.
In summary, the road condition advisory device provided in the embodiment of the present disclosure, by obtaining the driving performance parameter of vehicle,
And the traffic information of the vehicle front is obtained, think that vehicle carries out road condition advisory；Due to combining the driving performance parameter of vehicle
And the traffic information of vehicle front, therefore can accurately determine whether vehicle can continue traveling, solve correlation technique
It is middle to cause that emergency situations occur in motion because driver accurately judge front road conditions, what security can not be protected
Problem；The road conditions in vehicle front section can accurately be known by having reached, be prevented effectively from emergency situations during traveling, improve traveling
When security effect.
Fig. 5 is a kind of block diagram of road condition advisory device according to another exemplary embodiment, as shown in fig. 6, the road
Condition suggestion device is applied in the unmanned aerial vehicle 110 in implementation environment shown in Fig. 1, and the road condition advisory device includes but is not limited to：
Parameter acquisition module 510, road conditions acquisition module 520 and navigation module 530.
Parameter acquisition module 510, is configured as obtaining the driving performance parameter for the vehicle bound with the unmanned aerial vehicle；
Road conditions acquisition module 520, is configured as obtaining the traffic information in the vehicle front preset distance；
Navigation module 530, is configured as the driving performance parameter and the road conditions obtained according to the parameter acquisition module 510
The traffic information that acquisition module 520 is obtained, road condition advisory is carried out for the vehicle.
Optionally, the parameter acquisition module 510, including：First acquisition submodule 511, or, the second acquisition submodule
512, or, sending submodule 513 and receiving submodule 514.
First acquisition submodule 511, is configured as being connected with vehicle foundation, obtains the type of the vehicle of vehicle transmission
Number, the driving performance parameter corresponding to the model is obtained from Cloud Server；Or,
Second acquisition submodule 512, is configured as being connected with vehicle foundation, obtains the driving performance of vehicle transmission
Parameter；Or,
Sending submodule 513, is configured as sending for obtaining the vehicle to the smart machine bound with the unmanned aerial vehicle
Driving performance parameter parameter acquiring request, the parameter acquiring asks to feed back the row of the vehicle for triggering the smart machine
Performance parameter is sailed, receiving submodule 514 is configured as receiving the driving performance parameter for the vehicle that the smart machine is sent；
Wherein, the maximum that the driving performance parameter includes the ruling grade that can travel of the vehicle, the vehicle can be travelled
Road surface evenness degree that speed, the vehicle can drive safely, for indicate the vehicle whether the ginseng that can be travelled in uneven road surface
At least one of number.
Optionally, the road conditions acquisition module 520, including：3rd acquisition submodule 521, IMAQ submodule 522 and figure
As identification submodule 523.
3rd acquisition submodule 521, is configured as obtaining the location data of the vehicle；
IMAQ submodule 522, is configured as the location data obtained according to the 3rd acquisition submodule 521, adopts
Collect the road conditions image in the vehicle front preset distance；
Image recognition submodule 523, road conditions image for being configured as collecting the IMAQ submodule 522 is carried out
Image recognition, obtains the traffic information.
Optionally, the navigation module 530, is additionally configured to：
When the traffic information indicates the front section condition that meets that no through traffic, the vehicle is reminded to detour traveling,
Wherein, this forbids communication condition to be that the front section is bicycle lane, the front section Uneven road, or, should
The ruling grade in front section is more than the ruling grade that the vehicle can be travelled.
Optionally, the navigation module 530, is additionally configured to：
Warning message is sent to the vehicle, or, warning message, the report are sent to the smart machine that the unmanned aerial vehicle is bound
Alert information is used to remind the front section not utilize traveling.
In summary, the road condition advisory device provided in the embodiment of the present disclosure, by obtaining the driving performance parameter of vehicle,
And the traffic information of the vehicle front is obtained, think that vehicle carries out road condition advisory；Due to combining the driving performance parameter of vehicle
And the traffic information of vehicle front, therefore can accurately determine whether vehicle can continue traveling, solve correlation technique
It is middle to cause that emergency situations occur in motion because driver accurately judge front road conditions, what security can not be protected
Problem；The road conditions in vehicle front section can accurately be known by having reached, be prevented effectively from emergency situations during traveling, improve traveling
When security effect.
On the device in above-described embodiment, wherein modules perform the concrete mode of operation in relevant this method
Embodiment in be described in detail, explanation will be not set forth in detail herein.
The exemplary embodiment of the disclosure one provides a kind of road condition advisory device, can realize that the road conditions that the disclosure is provided are carried
Show method, the road condition advisory device is applied in the unmanned aerial vehicle 110 of implementation environment shown in Fig. 1, the road condition advisory device can be with
Including：Processor, the memory for storing processor-executable instruction；
Wherein, processor is configured as：
Obtain the driving performance parameter for the vehicle bound with unmanned aerial vehicle；
Obtain the traffic information in the vehicle front preset distance；
According to the driving performance parameter and the traffic information, road condition advisory is carried out for the vehicle.
Fig. 6 is a kind of block diagram of road condition advisory device according to another exemplary embodiment.For example, device 600 can
To be provided as a unmanned aerial vehicle.Reference picture 6, device 600 includes processing assembly 602, and it further comprises one or more places
Manage device, and as the memory resource representated by memory 604, for store can by the execution of processing assembly 602 instruction, example
Such as application program, alignment system or positioning application program.The application program stored in memory 604 can include one or one
Individual above each corresponds to the module of one group of instruction.Device 600 can also include a picture shooting assembly 612, the shooting group
Part 612 can shoot road conditions image.In addition, processing assembly 602 is configured as execute instruction, to perform above-mentioned road condition advisory side
Method.
Device 600 can also include the power management that a power supply module 606 is configured as performs device 600, and one has
Line or radio network interface 608 are configured as device 600 being connected to network, and input and output (I/O) interface 610.Dress
Putting 600 can operate based on the operating system for being stored in memory 604, such as Windows ServerTM, Mac OS XTM,
UnixTM, LinuxTM, FreeBSDTM or similar.
Those skilled in the art will readily occur to its of the disclosure after considering specification and putting into practice invention disclosed herein
Its embodiment.The application is intended to any modification, purposes or the adaptations of the disclosure, these modifications, purposes or
Person's adaptations follow the general principle of the disclosure and including the undocumented common knowledge in the art of the disclosure
Or conventional techniques.Description and embodiments are considered only as exemplary, and the true scope of the disclosure and spirit are by following
Claim is pointed out.
It should be appreciated that the precision architecture that the disclosure is not limited to be described above and is shown in the drawings, and
And various modifications and changes can be being carried out without departing from the scope.The scope of the present disclosure is only limited by appended claim.
Claims (9)
1. a kind of road condition advisory method, it is characterised in that applied in unmanned aerial vehicle, methods described includes：
Obtain the driving performance parameter for the vehicle bound with the unmanned aerial vehicle；
Obtain the traffic information in the vehicle front preset distance；
It is that the vehicle carries out road condition advisory according to the driving performance parameter and the traffic information；
Wherein, it is described according to the driving performance parameter and the traffic information, it is that the vehicle carries out road condition advisory, including：
When the traffic information indicates the front section condition that meets that no through traffic, the vehicle is reminded to detour traveling,
Wherein, described no through traffic that condition is that the front section is bicycle lane, front section Uneven road, or,
The ruling grade in the front section is more than the ruling grade that the vehicle can be travelled.
2. according to the method described in claim 1, it is characterised in that the row for the vehicle that the acquisition is bound with the unmanned aerial vehicle
Performance parameter is sailed, including：
Set up and be connected with the vehicle, obtain the model for the vehicle that the vehicle is sent, the type is obtained from Cloud Server
The driving performance parameter corresponding to number；Or,
Set up and be connected with the vehicle, obtain the driving performance parameter that the vehicle is sent；Or,
The parameter that the driving performance parameter for obtaining the vehicle is sent to the smart machine bound with the unmanned aerial vehicle is obtained
Request is taken, the parameter acquiring is asked to feed back the driving performance parameter of the vehicle for triggering the smart machine, connect
Receive the driving performance parameter for the vehicle that the smart machine is sent；
Wherein, the driving performance parameter, which includes the ruling grade that can travel of the vehicle, the vehicle, can travel most
Road surface evenness degree that big speed, the vehicle can drive safely, for indicating whether the vehicle can be in uneven road surface row
At least one of parameter sailed.
3. according to the method described in claim 1, it is characterised in that the road conditions obtained in the vehicle front preset distance
Information, including：
Obtain the location data of the vehicle；
According to the location data, the road conditions image in the vehicle front preset distance is gathered；
Image recognition is carried out to the road conditions image, the traffic information is obtained.
4. according to the method described in claim 1, it is characterised in that described to remind the vehicle to detour traveling, including：
Warning message is sent to the vehicle, or, warning message is sent to the smart machine that the unmanned aerial vehicle is bound, it is described
Warning message is used to remind the front section to be unfavorable for traveling.
5. a kind of road condition advisory device, it is characterised in that applied in unmanned aerial vehicle, described device includes：
Parameter acquisition module, is configured as obtaining the driving performance parameter for the vehicle bound with the unmanned aerial vehicle；
Road conditions acquisition module, is configured as obtaining the traffic information in the vehicle front preset distance；
Navigation module, the driving performance parameter and the road conditions for being configured as being obtained according to the parameter acquisition module is obtained
The traffic information that module is obtained, is that the vehicle carries out road condition advisory；
Wherein, the navigation module, is additionally configured to：
When the traffic information indicates the front section condition that meets that no through traffic, the vehicle is reminded to detour traveling,
Wherein, described no through traffic that condition is that the front section is bicycle lane, front section Uneven road, or,
The ruling grade in the front section is more than the ruling grade that the vehicle can be travelled.
6. device according to claim 5, it is characterised in that the parameter acquisition module, including：
First acquisition submodule, is configured as being connected with vehicle foundation, obtains the type for the vehicle that the vehicle is sent
Number, obtain the driving performance parameter corresponding to the model from Cloud Server；Or,
Second acquisition submodule, is configured as being connected with vehicle foundation, obtains the driving performance that the vehicle is sent
Parameter；Or,
Sending submodule, is configured as sending the row for obtaining the vehicle to the smart machine bound with the unmanned aerial vehicle
The parameter acquiring request of performance parameter is sailed, the parameter acquiring asks to feed back the institute of the vehicle for triggering the smart machine
Driving performance parameter is stated, receiving submodule is configured as receiving the travelling for the vehicle that the smart machine is sent
Can parameter；
Wherein, the driving performance parameter, which includes the ruling grade that can travel of the vehicle, the vehicle, can travel most
Road surface evenness degree that big speed, the vehicle can drive safely, for indicating whether the vehicle can be in uneven road surface row
At least one of parameter sailed.
7. device according to claim 5, it is characterised in that the road conditions acquisition module, including：
3rd acquisition submodule, is configured as obtaining the location data of the vehicle；
IMAQ submodule, is configured as the location data obtained according to the 3rd acquisition submodule, and collection is described
Road conditions image in vehicle front preset distance；
Image recognition submodule, is configured as gathering described image the road conditions image progress image knowledge that submodule is collected
Not, the traffic information is obtained.
8. device according to claim 5, it is characterised in that the navigation module, is additionally configured to：
Warning message is sent to the vehicle, or, warning message is sent to the smart machine that the unmanned aerial vehicle is bound, it is described
Warning message is used to remind the front section to be unfavorable for traveling.
9. a kind of road condition advisory device, it is characterised in that applied in unmanned aerial vehicle, described device includes：
Processor；
Memory for storing the processor-executable instruction；
Wherein, the processor is configured as：
Obtain the driving performance parameter for the vehicle bound with the unmanned aerial vehicle；
Obtain the traffic information in the vehicle front preset distance；
It is that the vehicle carries out road condition advisory according to the driving performance parameter and the traffic information；
Wherein, it is described according to the driving performance parameter and the traffic information, it is that the vehicle carries out road condition advisory, including：
When the traffic information indicates the front section condition that meets that no through traffic, the vehicle is reminded to detour traveling,
Wherein, described no through traffic that condition is that the front section is bicycle lane, front section Uneven road, or,
The ruling grade in the front section is more than the ruling grade that the vehicle can be travelled.
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| CN105857308A (en) * | 2016-05-13 | 2016-08-17 | 乐视控股（北京）有限公司 | Vehicle control method and device and vehicle control equipment |
| CN106323311B (en) * | 2016-08-05 | 2019-07-26 | 深圳市元征科技股份有限公司 | A kind of traffic route method and device for planning |
| CN107871399B (en) * | 2016-12-27 | 2020-11-24 | 珠海市杰理科技股份有限公司 | Automatic vehicle driving system and method |
| CN109345871A (en) * | 2018-11-08 | 2019-02-15 | 上海歌尔泰克机器人有限公司 | Safety method for early warning, device, unmanned plane and computer readable storage medium |
| CN111208691A (en) * | 2018-11-22 | 2020-05-29 | 南京人工智能高等研究院有限公司 | Method and device for adjusting shooting angle of view, electronic equipment and storage medium |
| CN111833629A (en) * | 2019-04-23 | 2020-10-27 | 上海博泰悦臻网络技术服务有限公司 | Special lane prompting method and system and vehicle |
| CN112061718B (en) * | 2019-06-10 | 2022-03-15 | 李志鹏 | Control method of intelligent tray and intelligent tray |
| CN110363991B (en) * | 2019-07-16 | 2021-01-08 | 珠海市杰理科技股份有限公司 | Road condition analysis method, road condition analysis device, road condition analysis system and vehicle |
| CN111882907B (en) * | 2020-06-18 | 2023-02-03 | 北京骑胜科技有限公司 | Navigation early warning method, device, equipment and storage medium for vehicle |
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