CN115762138A - Method and device for reminding road surface condition, electronic equipment and storage medium - Google Patents

Method and device for reminding road surface condition, electronic equipment and storage medium Download PDF

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Publication number
CN115762138A
CN115762138A CN202211347668.4A CN202211347668A CN115762138A CN 115762138 A CN115762138 A CN 115762138A CN 202211347668 A CN202211347668 A CN 202211347668A CN 115762138 A CN115762138 A CN 115762138A
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road condition
real
road
time
target
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王宏宇
孙书欢
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Beijing Jianzhi Technology Co ltd
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Beijing Jianzhi Technology Co ltd
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Priority to CN202211347668.4A priority Critical patent/CN115762138A/en
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Abstract

The embodiment of the invention provides a method and a device for reminding a road surface condition, electronic equipment and a storage medium, wherein the method comprises the following steps: the method is applied to the vehicle, a plurality of real-time road condition images and real-time positions corresponding to the real-time road condition images can be obtained, the real-time road condition images with real-time road condition characteristics as risk road condition characteristics are extracted from the real-time road condition images and serve as target road condition images, if the fact that the vehicle is in communication connection with a sharing system corresponding to a road surface to which the real-time positions belong is detected, the target road condition images are sent to the sharing system, the sharing system comprises an information base end and a road surface end, the information base end updates the target road condition images to an information base, current road condition risk values sent by the road surface end are received, and if the current road condition risk values are larger than or equal to preset threshold values, reminding information aiming at the target road condition images sent by the road surface end is received, so that the vehicle can timely obtain the road surface condition of a running road, the running risk of the vehicle is greatly reduced, and the running safety is improved.

Description

Method and device for reminding road surface condition, electronic equipment and storage medium
Technical Field
The present invention relates to the field of data processing technologies, and in particular, to a method and an apparatus for prompting a road condition, an electronic device, and a computer-readable storage medium.
Background
The current vehicle control technology is gradually improved, the vehicle can timely respond to the problems possibly encountered by the vehicle in the driving process, accidents are avoided, in the current vehicle control technology, the vehicle can detect the road condition of the driving road in real time, the road condition causing dangerous driving is fed back to a driver, and the driver can conveniently drive based on the feedback content.
However, in the process of implementing the present invention, the inventor finds that at least the following problems exist in the prior art: on one hand, the road range detected by the vehicle is small, so that the vehicle cannot comprehensively and rapidly feed back the corresponding road condition to the driver, on the other hand, the vehicle only depends on the vehicle to detect the road condition, so that the problems of inaccurate judgment of dangerous road conditions, wrong risk prediction and the like may exist, and the risk of driving accidents is increased.
Disclosure of Invention
The embodiment of the invention provides a method and a device for reminding a road surface condition, electronic equipment and a computer readable storage medium, and aims to solve or partially solve the problem that in the prior art, a vehicle cannot quickly acquire the condition information of a driving road surface, so that driving risks exist.
The embodiment of the invention discloses a method for reminding road conditions, which is applied to vehicles and comprises the following steps:
acquiring a plurality of real-time road condition images and real-time positions corresponding to the real-time road condition images, wherein the real-time road condition images comprise real-time road condition characteristics;
extracting the real-time road condition image with the real-time road condition characteristics as risk road condition characteristics from the plurality of real-time road condition images as a target road condition image;
if the fact that communication connection is established between the vehicle and a sharing system corresponding to the road surface to which the real-time position belongs is detected, the target road condition image is sent to the sharing system corresponding to the road surface, the sharing system comprises an information base end and a road surface end, and the information base end is used for updating the target road condition image to an information base;
receiving a current road condition risk score sent by the road end, wherein the current road condition risk score is a score aiming at the target road condition image obtained after risk calculation is carried out on the target road condition image by the road end;
and if the current road condition risk score is greater than or equal to a preset threshold value, receiving reminding information aiming at the target road condition image, which is sent by the road side.
Optionally, the acquiring a plurality of real-time road condition images includes:
acquiring the plurality of real-time road condition images;
after the plurality of real-time road condition images are obtained, the method further comprises the following steps:
and carrying out image recognition on the real-time road condition image, and extracting the real-time road condition characteristics of the real-time road condition image by adopting a machine vision technology.
Optionally, the extracting the target road condition image with the real-time road condition features as risk road condition features from the plurality of real-time road condition images includes:
performing feature comparison processing on the real-time road condition features and preset road condition features, and taking the real-time road condition features with the same feature comparison as the risk road condition features, wherein the preset road condition features at least comprise road congestion, uneven road surface, muddy road surface, accumulated road surface water and road collapse;
and extracting a target road condition image corresponding to the risk road condition characteristics from the plurality of real-time road condition images.
Optionally, if it is detected that a communication connection is established between the vehicle and a sharing system corresponding to a road surface to which the real-time location belongs, sending the target road condition image to the sharing system corresponding to the road surface includes:
if the fact that communication connection is established between the vehicle and a sharing system corresponding to the road surface to which the real-time position belongs is detected, a target position corresponding to the target road condition image is obtained;
and packaging the target road condition image and the target position, and sending the target road condition image and the target position to an information base end and a road surface end corresponding to the road surface to which the real-time position belongs.
Optionally, the method further comprises:
and sending an information acquisition request to the information base end according to a preset time period, and acquiring a current road condition image corresponding to the information acquisition request from the information base end.
The embodiment of the invention also discloses another reminding method of the road surface condition, which is applied to a sharing system and comprises the following steps:
if the fact that communication connection is established between a sharing system corresponding to the road surface where the real-time position belongs and a vehicle is detected, the information base end receives a target road condition image sent by the vehicle;
the road surface end carries out risk calculation on a target road condition image sent by the vehicle to obtain a current road condition risk score corresponding to the road surface;
and if the current road condition risk score is greater than or equal to a preset threshold value, generating reminding information aiming at the target road condition image, and sending the reminding information and the current road condition risk score to the vehicle.
Optionally, if it is detected that a communication connection is established between the sharing system corresponding to the road surface to which the real-time location belongs and the vehicle, the receiving, by the information base, the target road condition image sent by the vehicle includes:
if the fact that communication connection is established between the sharing system corresponding to the road surface to which the target position belongs and the vehicle is detected, the information base end receives a target road condition image sent by the vehicle, and the target road condition image is an image of the information base end, which is sent to the road surface corresponding to the road surface to which the real-time position belongs, of the vehicle and packages the target road condition image and the real-time position;
if the information base end has the current road condition image, updating the target road condition image into the current road condition image;
and if the current road condition image does not exist in the information base terminal, storing the target road condition image as the current road condition image to the information base terminal.
Optionally, the method further comprises:
and when an information acquisition request sent by the vehicle is received in a preset time period, sending the current road condition image corresponding to the information acquisition request in the information base to the vehicle.
Optionally, the performing, by the road surface end, risk calculation on the target road condition image sent by the vehicle to obtain a current road condition risk score corresponding to the road surface, and sending the current road condition risk score to the vehicle includes:
the road surface end receives a private key, the target road condition image and the real-time position which are sent by the vehicle, and the road surface to which the real-time position belongs corresponds to a preset risk coefficient;
and the road side carries out risk calculation on the risk road condition characteristics according to the preset risk coefficient, obtains the current road condition risk score corresponding to the road surface, and sends the current road condition risk score to the vehicle.
Optionally, the performing, by the road side, risk calculation on the risky road condition characteristic according to the preset risk coefficient, obtaining a risk score of a current road condition corresponding to the road surface, and sending the risk score of the current road condition to the vehicle includes:
the road surface end carries out risk calculation on the risk road condition characteristics in the target road condition image according to a preset risk coefficient corresponding to the road surface to obtain a target road condition risk score;
and the road surface end acquires historical road condition risk values corresponding to the road surface, and performs cumulative calculation on the historical road condition risk values and the target road condition risk values to acquire the current road condition risk values.
The embodiment of the invention also discloses a reminding device for road surface conditions, which is applied to vehicles and comprises:
the real-time road condition image acquisition module is used for acquiring a plurality of real-time road condition images and real-time positions corresponding to the real-time road condition images, and the real-time road condition images comprise real-time road condition characteristics;
the target road condition image extraction module is used for extracting the real-time road condition image with the real-time road condition characteristics as the risk road condition characteristics from the plurality of real-time road condition images as a target road condition image;
the target road condition image sharing module is used for sending the target road condition image to a sharing system corresponding to the road surface if the fact that communication connection is established between the vehicle and the sharing system corresponding to the road surface to which the real-time position belongs is detected, wherein the sharing system comprises an information base end and a road surface end, and the information base end is used for updating the target road condition image to an information base;
a current road condition risk score receiving module, configured to receive a current road condition risk score sent by the road end, where the current road condition risk score is a score for the target road condition image, obtained after the road end performs risk calculation on the target road condition image;
and the reminding information receiving module is used for receiving reminding information aiming at the target road condition image, which is sent by the road side, if the current road condition risk score is greater than or equal to a preset threshold value.
Optionally, the real-time road condition image obtaining module is specifically configured to:
acquiring the plurality of real-time road condition images;
after the plurality of real-time road condition images are obtained, the method further comprises the following steps:
and carrying out image recognition on the real-time road condition image, and extracting the real-time road condition characteristics of the real-time road condition image by adopting a machine vision technology.
Optionally, the target road condition image extraction module is specifically configured to:
performing feature comparison processing on the real-time road condition features and preset road condition features, and taking the real-time road condition features with the same feature comparison as the risk road condition features, wherein the preset road condition features at least comprise road congestion, uneven road surface, muddy road surface, accumulated water on the road surface and road collapse;
and extracting a target road condition image corresponding to the risk road condition features from the plurality of real-time road condition images.
Optionally, the target road condition image sharing module is specifically configured to:
if the fact that communication connection is established between the vehicle and a sharing system corresponding to the road surface to which the real-time position belongs is detected, a target position corresponding to the target road condition image is obtained;
and packaging the target road condition image and the target position, and sending the target road condition image and the target position to an information base end and a road surface end corresponding to the road surface to which the real-time position belongs.
Optionally, the apparatus further comprises:
and the current road condition image acquisition module is used for sending an information acquisition request to the information base terminal according to a preset time period and acquiring a current road condition image corresponding to the information acquisition request from the information base terminal.
The embodiment of the invention also discloses another reminding device for the road surface condition, which is applied to a sharing system, wherein the sharing system comprises an information base end and a road surface end, and the device comprises:
the target road condition image receiving module is used for receiving a target road condition image sent by a vehicle if the fact that communication connection is established between a sharing system corresponding to a road surface to which a real-time position belongs and the vehicle is detected;
the current road condition risk score calculation module is used for carrying out risk calculation on a target road condition image sent by the vehicle by the road surface end to obtain a current road condition risk score corresponding to the road surface;
and the reminding information sending module is used for generating reminding information aiming at the target road condition image if the current road condition risk score is greater than or equal to a preset threshold value, and sending the reminding information and the current road condition risk score to the vehicle.
Optionally, the target road condition image receiving module is specifically configured to:
if the fact that communication connection is established between the sharing system corresponding to the road surface to which the target position belongs and the vehicle is detected, the information base end receives a target road condition image sent by the vehicle, and the target road condition image is an image of the information base end, which is sent to the road surface corresponding to the road surface to which the real-time position belongs, of the vehicle and packages the target road condition image and the real-time position;
if the information base end has the current road condition image, updating the target road condition image into the current road condition image;
and if the current road condition image does not exist in the information base terminal, storing the target road condition image as the current road condition image to the information base terminal.
Optionally, the apparatus further comprises:
and the current road condition information sending module is used for sending the current road condition image corresponding to the information acquisition request in the information base to the vehicle when receiving the information acquisition request sent by the vehicle in a preset time period.
Optionally, the current road condition risk score calculation module is specifically configured to:
the road surface end receives a private key, the target road condition image and the real-time position sent by the vehicle, and the road surface to which the real-time position belongs has a preset risk coefficient;
and the road side carries out risk calculation on the risk road condition characteristics according to the preset risk coefficient, obtains a current road condition risk score corresponding to the road surface, and sends the current road condition risk score to the vehicle.
Optionally, the reminding information sending module is specifically configured to:
the road surface end carries out risk calculation on the risk road condition characteristics in the target road condition image according to a preset risk coefficient corresponding to the road surface to obtain a target road condition risk score;
and the road surface end acquires historical road condition risk values corresponding to the road surface, and performs cumulative calculation on the historical road condition risk values and the target road condition risk values to acquire the current road condition risk values.
The embodiment of the invention also discloses electronic equipment which comprises a processor, a communication interface, a memory and a communication bus, wherein the processor, the communication interface and the memory finish mutual communication through the communication bus;
the memory is used for storing a computer program;
the processor is configured to implement the method according to the embodiment of the present invention when executing the program stored in the memory.
Also disclosed is a computer-readable storage medium having instructions stored thereon, which, when executed by one or more processors, cause the processors to perform a method according to an embodiment of the invention.
The embodiment of the invention has the following advantages:
in the embodiment of the invention, the method is applied to a vehicle, when the vehicle is driven, a plurality of real-time road condition images and real-time positions corresponding to the real-time road condition images can be obtained, the real-time road condition images comprise real-time road condition features, the real-time road condition images with the real-time road condition features as risk road condition features are extracted from the real-time road condition images and serve as target road condition images, if the fact that communication connection is established between the vehicle and a sharing system corresponding to a road surface to which the real-time positions belong is detected, the target road condition images are sent to the sharing system corresponding to the road surface, the sharing system comprises an information base end and a road surface end, the information base end is used for updating the target road condition images to an information base and receiving current road condition risk scores sent by the road surface end, and the current road condition risk scores are scores obtained by the road surface end after risk calculation is carried out on the target road condition images, if the current road condition risk score is larger than or equal to the preset threshold value, the reminding information aiming at the target road condition image sent by the road side is received, so that the vehicle can accurately identify the road condition represented by the real-time road condition image by extracting the real-time characteristics in the real-time road condition image, the real-time road condition image with the real-time road condition characteristics as the risk road condition characteristics is taken as the target road condition image, the image needing to be sent to the sharing system can be quickly determined, the sharing system updates the target road condition image of the road surface in real time through the information base end, the vehicle can be ensured to acquire the road surface condition of the driving road in time, the road side end calculates the corresponding current road condition risk score according to the received target road condition score, the abstract risk degree is embodied into the score representing the risk degree so as to accurately judge whether the reminding information is sent to the vehicle or not, and the reminding information can greatly reduce the driving risk of the vehicle, the driving safety is improved.
Drawings
Fig. 1 is a flowchart illustrating steps of a method for reminding a road surface condition according to an embodiment of the present invention;
FIG. 2 is a flowchart illustrating steps for processing real-time traffic status images between a vehicle and a sharing system according to an embodiment of the present invention;
FIG. 3 is a flow chart illustrating steps of another method for alerting of a road surface condition in accordance with an embodiment of the present invention;
FIG. 4 is a schematic diagram of communication between a collection node and a sharing system shown in the embodiment of the present invention;
fig. 5 is a schematic diagram illustrating that the information repository searches for the traffic information through the private key in the embodiment of the present invention;
fig. 6 is a block diagram of a road surface condition reminding device provided in an embodiment of the present invention;
fig. 7 is a block diagram of another road surface condition reminding device provided in the embodiment of the present invention;
fig. 8 is a block diagram of an electronic device provided in the embodiment of the present invention.
Detailed Description
In order to make the aforementioned objects, features and advantages of the present invention comprehensible, embodiments accompanied with figures are described in further detail below.
Referring to fig. 1, a flowchart of steps of a method for reminding a road surface condition provided in an embodiment of the present invention is shown, and the method is applied to a vehicle, and specifically includes the following steps:
step 101, acquiring a plurality of real-time road condition images and real-time positions corresponding to the real-time road condition images, wherein the real-time road condition images comprise real-time road condition characteristics;
in the embodiment of the invention, the vehicle can detect the road condition in real time and process various road condition information by taking the vehicle-mounted camera as the acquisition equipment or the acquisition node, and the vehicle-mounted camera is in an encrypted state when being connected with the shared system, so that the information safety is ensured while the information accuracy is ensured. The vehicle acquires real-time road condition images and real-time positions corresponding to the real-time road condition images in the driving process, each real-time road condition image at least comprises a real-time road condition characteristic, and the vehicle-mounted camera can enable a driver and passengers to accurately and quickly acquire complete road condition information (road condition images) so as to avoid influence caused by road condition information loss or time effectiveness loss.
Optionally, the real-time road condition image may be an image of a road surface condition of a road on which the vehicle is currently driving, the real-time position may be specific position information of the road on which the vehicle is currently located, and the real-time road condition features may be features representing a state of the real-time road condition image, for example, the real-time road condition features may include features of congestion of the road, smoothness of the road, mud of the road, water logging of the road, road collapse, and the like, the vehicle may summarize features that do not affect normal driving of the vehicle into normal road condition features, such as features of smoothness of the road, and the like, and summarize features that may affect normal driving of the vehicle into risky road condition features, such as features of congestion of the road, roughness of the road, mud of the road, water logging of the road, road collapse, and the like.
In specific implementation, after acquiring a plurality of real-time road condition images, the vehicle camera can perform image recognition on the real-time road condition images, and extract real-time road condition features of the real-time road condition images by adopting a machine vision technology.
Specifically, the image recognition can be performed by inputting the real-time road condition image collected by the vehicle-mounted camera into the image processing model to capture the characteristics of the image. The machine vision technology is based on a bionic angle, a machine replaces human eyes to measure and judge, for example, the simulation eyes acquire images through a vision sensor (such as a vehicle-mounted camera), and image processing and recognition are carried out by an image processing system after acquisition, the machine vision technology can be divided into a monocular vision technology, a binocular vision technology and a multi-ocular vision technology, wherein the monocular vision technology refers to the fact that one vision sensor can complete vision tasks such as positioning and the like.
As an example, in the running process of a vehicle on a road, the vehicle-mounted camera acquires a real-time road condition image a, a real-time road condition image B and a real-time road condition image C in real time, and a real-time position a corresponding to the real-time road condition image a, a real-time position B corresponding to the real-time road condition image B and a real-time position C corresponding to the real-time road condition image C, and respectively performs image recognition on the real-time road condition image a, the real-time road condition image B and the real-time road condition image C, and extracts that the real-time road condition feature of the real-time road condition image a is that the road is flat, the real-time road condition feature of the real-time road condition image B is that the road is muddy, and the real-time feature of the real-time road condition image C is that the road is collapsed by adopting a monocular vision technology and a binocular vision technology.
102, extracting a real-time road condition image with the real-time road condition characteristics as risk road condition characteristics from the plurality of real-time road condition images as a target road condition image;
in the embodiment of the present invention, the risky road condition feature may be a feature that may affect normal driving of the vehicle, and the vehicle may extract a real-time road condition image with the real-time road condition feature as the risky road condition feature from the plurality of real-time road condition images as the target road condition image.
In specific implementation, the vehicle may perform feature comparison processing on the extracted real-time road condition features and road condition features set in advance by related technicians, the preset road condition features at least include features of road congestion, uneven road surface, muddy road surface, accumulated road surface water, road collapse and the like, if the real-time road condition features are processed by the feature comparison to be the same as the preset road condition features, the real-time road condition features are taken as risk road condition features, and if the real-time road condition features are processed by the feature comparison to be the same as the preset road condition features, the real-time road condition features are rejected.
103, if communication connection is established between the vehicle and a sharing system corresponding to the road surface to which the real-time position belongs, sending the target road condition image to the sharing system corresponding to the road surface, wherein the sharing system comprises an information base end and a road surface end, and the information base end is used for updating the target road condition image to an information base;
in the embodiment of the invention, if the vehicle detects that the communication connection is established between the vehicle and the sharing system corresponding to the road surface to which the real-time position of the image acquired by the vehicle-mounted camera belongs, the vehicle can send the target road condition image to the sharing system (the information base end and the road surface end), thereby realizing the information sharing between the vehicle and the sharing system.
Alternatively, the sharing system may be a system for sharing information with a vehicle to ensure that the vehicle can acquire the traveling road information in real time and quickly, and may include an information base end and a road surface end, where the information base end may be a terminal arranged in a certain area and used for processing the received road condition information, and is generally arranged in an area where road condition damage easily occurs. The road surface end can be a port arranged in each road, in the process of actually arranging the road surface end, the number of the road surface ends needs to be ensured to cover more roads as far as possible, and if the total coverage cannot be ensured due to factors such as environmental limitation, the road with higher danger probability can be arranged when the vehicle runs.
In specific implementation, if it is detected that communication connection is established between the vehicle and the sharing system corresponding to the road surface to which the real-time position belongs, the target position corresponding to the target road condition image is acquired, the target road condition image and the target position are packaged, and the target road condition image and the target position are sent to the information base end corresponding to the road surface to which the real-time position belongs.
Specifically, after the vehicle is in communication connection with the information base, the target road condition image and the target position may be packaged into one or more packages.
Step 104, receiving a current road condition risk score sent by the road end, wherein the current road condition risk score is a score aiming at the target road condition image and obtained after risk calculation is carried out on the target road condition image by the road end;
in the embodiment of the invention, the current road condition risk score is a score aiming at a target road condition image obtained after the road surface end receives the target road condition image sent by a vehicle and carries out risk calculation on the target road condition image, and after the vehicle sends the target road condition image to the road surface end, the road surface end can return the current road condition risk score to the vehicle.
And 105, receiving reminding information aiming at the target road condition image, which is sent by the road side, if the current road condition risk score is greater than or equal to a preset threshold value.
In the embodiment of the invention, if the current road condition risk score is greater than or equal to the preset threshold, the reminding information aiming at the target road condition image sent by the road side is received, and if the current road condition risk score is less than the preset threshold, the vehicle does not process or respond to the target road condition image and keeps running normally.
Optionally, the preset threshold may be a value set in advance by a relevant technician according to an actual demand, for example, the preset threshold may be 70 minutes, 80 minutes, 90 minutes, and the like, and the reminding information may be information sent by a road end for reminding a current road condition when the current road condition risk score is greater than or equal to the preset threshold, for example, the reminding information may be "a road in a position 50 meters ahead is muddy, and please drive cautiously. "," the road collapsed 100 m ahead, please stop driving or detour. The vehicle receiving the reminding information may be a vehicle currently sending the target road condition image, an adjacent vehicle, or a cloud server, which is not limited in this respect.
As an example, referring to fig. 2, a flow chart of steps for processing a real-time road condition image between a vehicle and a sharing system is shown, assuming that a real-time road condition image a, a real-time road condition image B, a real-time road condition image C, a real-time position a corresponding to the real-time road condition image a, a real-time position B corresponding to the real-time road condition image B, and a real-time position C corresponding to the real-time road condition image C are collected by a vehicle-mounted camera in real time during the driving of the vehicle, a preset threshold value is 70 minutes, and image recognition is respectively performed on the real-time road condition image a, the real-time road condition image B, and the real-time road condition image C, and a monocular vision technology and a binocular vision technology are adopted to extract that the real-time road condition feature of the real-time road condition image a is flat, the real-time road condition feature of the real-time road condition image B is smooth, and the real-time road condition feature of the real-time road condition image C is a landslide, taking the real-time road condition image C as a target road condition image, detecting that a vehicle establishes communication connection with a sharing system corresponding to a road surface to which the real-time position C belongs, acquiring a target position corresponding to the target road condition image, packaging the target road condition image and the target position, sending the target road condition image and the target position to an information base end corresponding to the road surface to which the real-time position belongs, updating data of the information base end based on the target road condition image, carrying out risk calculation on the target road condition image by the road surface end to obtain a current road condition risk score for the target road condition image, wherein the current road condition risk score is greater than a preset threshold value, and receiving reminding information sent by the road surface end for the target road condition image: "there is a road collapse on the road at present, please go round the road. ".
In an embodiment of the invention, a vehicle uploads a target road condition image acquired in real time to an information base, the information base can update the road condition, when the vehicle needs to acquire the road condition information of a road ahead in the driving process, an information acquisition request can be sent to an information base end according to a preset time period, and then a current road condition image corresponding to the information acquisition request is acquired from the information base end, and the vehicle can acquire reminding information corresponding to the current road condition image, so that a driver can actively plan a corresponding driving route, or a vehicle with an automatic driving function can automatically plan a corresponding driving route.
Meanwhile, in order to ensure the timeliness of obtaining the road condition of the vehicle in the driving process, the time period of the current road condition image can be requested from the information base end, the current road condition image and the position information exceeding the preset time period are cleared, and invalid information is prevented from occupying a storage space.
Referring to fig. 3, a flowchart of steps of another method for prompting a road surface condition provided in the embodiment of the present invention is shown, and is applied to a sharing system, where the sharing system includes an information base end and a road surface end, and specifically includes the following steps:
step 301, if it is detected that a communication connection is established between a sharing system corresponding to a road surface to which a real-time position belongs and a vehicle, receiving a target road condition image sent by the vehicle by the information base;
in the embodiment of the invention, the sharing system can process the road condition information, and receive, store, update, transmit and the like, if the sharing system detects that the information base end corresponding to the road surface to which the real-time position belongs is in communication connection with the vehicle, the information base end receives the target road condition image sent by the vehicle.
Optionally, referring to fig. 4, a schematic diagram of communication between the collection node and the sharing system is shown, where a vehicle-mounted camera of the vehicle is the collection node, a road surface end in the sharing system is used as an intermediate station (processor) for processing road surface conditions, an information base end is used as a connection node arranged in each place, the vehicle may store a private key of the vehicle-mounted camera in an information base of the information base end in advance, the information base end may share the private key base with the road surface end, and the sharing system may send road condition information and road danger level assessment to a relevant road processing department.
As an example, the information base end may synchronize a target road condition image acquired by a vehicle in real time, if it is detected that a communication connection is established between the sharing system corresponding to the road surface to which the real-time position belongs and the vehicle, the information base end receives the target road condition image sent by the vehicle, the target road condition image is a package of the target road condition image and the target position by the vehicle, and the target road condition image is sent to the information base end corresponding to the road surface to which the real-time position belongs, if the current road condition image exists at the information base end, the target road condition image is updated to be the current road condition image, and if the current road condition image does not exist at the information base end, the target road condition image is stored to the information base end as the current road condition image.
As another example, the vehicle may select to share information with other nearby vehicles, and after the vehicle acquires the target road condition image through the vehicle-mounted camera, the target road condition image may be transmitted to the other vehicles through the wireless network, so as to implement a road surface condition sharing function.
In an example of the present invention, the information base terminal may send the current road condition image to the vehicle, and when receiving an information acquisition request sent by the vehicle in a preset time period, the information base terminal sends the current road condition image corresponding to the information acquisition request in the information base to the vehicle.
Step 302, the road surface end performs risk calculation on a target road condition image sent by the vehicle to obtain a current road condition risk score corresponding to the road surface;
in the embodiment of the invention, the road surface end can carry out risk calculation on the target road condition image sent by the vehicle to obtain the current road condition risk score corresponding to the road surface.
Optionally, the road surface end may be configured with an information receiving device and an information processing device, so as to receive and process the road condition information sent by the vehicle, analyze the dangerous degree of the road surface condition, and prompt corresponding personnel or departments to maintain and process the road in time.
In the specific implementation, the pavement end receives a private key, a target road condition image and a real-time position sent by a vehicle, the road surface to which the real-time position belongs corresponds to a preset risk coefficient, the pavement end carries out risk calculation on risk road condition characteristics according to the preset risk coefficient, obtains a current road condition risk score corresponding to the road surface, and sends the current road condition risk score to the vehicle.
In particular, private key encryption algorithms use a single private key to encrypt and decrypt data, which must be protected from unauthorized agents since any party with the key can use to decrypt the data, private key encryption is also known as symmetric encryption because the same key is used for both encryption and decryption. Private key cryptographic algorithms are very fast (compared to public key algorithms) and are particularly suitable for performing cryptographic transformations on large data streams. Typically, a private key algorithm (called a block cipher) is used to encrypt one block of data at a time.
As an example, referring to fig. 5, a schematic diagram of an information base end searching for road condition information through a private key is shown, when a vehicle-mounted camera uploads the road condition information to the information base end for the first time, the private key and a serial number thereof need to be uploaded together, a user can select whether to connect the vehicle-mounted camera to a network, if the vehicle-mounted camera connects and uploads the vehicle-mounted camera, after the information base end checks the serial number compliance of the vehicle-mounted camera, the private key is added into a private key base of the user, information transmitted from the private key is received subsequently, the private key can be retrieved from the private key base, and a source of the information is trusted, after the vehicle-mounted camera adds the private key into the private key base, the user can obtain and request a shared information base through information carrying position information, and request the latest information of surrounding road conditions to the information base end.
Step 303, if the current road condition risk score is greater than or equal to a preset threshold, generating a prompting message for the target road condition image, and sending the prompting message and the current road condition risk score to the vehicle.
In the embodiment of the invention, if the current road condition risk score is greater than or equal to the preset threshold, the road surface end can generate the reminding information aiming at the target road condition image, and the reminding information and the current road condition risk score can be sent to the vehicle.
Optionally, if the current road condition risk value is greater than or equal to the preset threshold, the road surface end may further feed the current road condition risk value back to the relevant road processing department, and the relevant processing department may make a response mode based on the current road condition value, for example, immediately block a collapsed road, dispatch a rescue worker, and perform a delay processing on a road with an uneven road surface.
In the specific implementation, the road surface end performs risk calculation on the risk road condition features in the target road condition image according to the preset risk coefficient corresponding to the road surface to obtain a target road condition risk score, then the road surface end obtains a historical road condition risk score corresponding to the road surface, and performs accumulation calculation on the historical road condition risk score and the target road condition risk score to obtain a current road condition risk score.
Specifically, the preset risk coefficients may be coefficients set in advance according to the conditions of the road surface, for example, scenes such as deceleration strips, well lids and pits in the road all correspond to the respective preset risk coefficients, different preset risk coefficients are set individually for different scenes, the target road condition risk score of the target road condition image can be calculated relatively accurately, the historical road condition risk score can be a score obtained by performing risk calculation on the road condition image received by the road surface end before the vehicle sends the target road condition image to the road surface end, and the current road condition risk score can be a score obtained by accumulating the target road condition risk score and the historical road condition risk score by the road surface end.
It should be noted that the embodiment of the present invention includes but is not limited to the above examples, and it is understood that, based on the teaching of the embodiment of the present invention, a person skilled in the art may also adopt other ways to adapt, and the present invention is not limited to this.
In the embodiment of the invention, the method is applied to a vehicle, when the vehicle is driven, a plurality of real-time road condition images and real-time positions corresponding to the real-time road condition images can be obtained, the real-time road condition images comprise real-time road condition features, the real-time road condition images with the real-time road condition features as risk road condition features are extracted from the real-time road condition images and serve as target road condition images, if the fact that communication connection is established between the vehicle and a sharing system corresponding to a road surface to which the real-time positions belong is detected, the target road condition images are sent to the sharing system corresponding to the road surface, the sharing system comprises an information base end and a road surface end, the information base end is used for updating the target road condition images to an information base and receiving current road condition risk scores sent by the road surface end, and the current road condition risk scores are scores obtained by the road surface end after risk calculation is carried out on the target road condition images, if the current road condition risk score is larger than or equal to the preset threshold value, the reminding information aiming at the target road condition image sent by the road end is received, so that the vehicle can accurately identify the road condition represented by the real-time road condition image by extracting the real-time characteristics in the real-time road condition image, and the real-time road condition image with the real-time road condition characteristics as the risk road condition characteristics is taken as the target road condition image, the image needing to be sent to the sharing system can be quickly determined, the sharing system updates the target road condition image of the road surface in real time through the information base end, the vehicle can be ensured to obtain the road surface condition of the driving road in time, the road end calculates the corresponding current road condition risk score according to the received target road condition score, whether the reminding information is sent to the vehicle or not is accurately judged by embodying the abstract risk degree into the score representing the risk degree, and the reminding information can greatly reduce the driving risk of the vehicle, the driving safety is improved.
It should be noted that, for simplicity of description, the method embodiments are described as a series of acts or combination of acts, but those skilled in the art will recognize that the present invention is not limited by the illustrated order of acts, as some steps may occur in other orders or concurrently in accordance with the embodiments of the present invention. Further, those skilled in the art will appreciate that the embodiments described in the specification are presently preferred and that no particular act is required to implement the invention.
Referring to fig. 6, a structural block diagram of a road surface condition reminding device provided in an embodiment of the present invention is shown, and is applied to a vehicle, and specifically includes the following modules:
the real-time road condition image acquisition module 601 is used for acquiring a plurality of real-time road condition images and real-time positions corresponding to the real-time road condition images, wherein the real-time road condition images comprise real-time road condition characteristics;
a target road condition image extracting module 602, configured to extract, from the plurality of real-time road condition images, a real-time road condition image with the real-time road condition characteristics as risk road condition characteristics as a target road condition image;
a target road condition image sharing module 603, configured to send the target road condition image to a sharing system corresponding to the road surface if it is detected that a communication connection is established between the vehicle and the sharing system corresponding to the road surface to which the real-time location belongs, where the sharing system includes an information base end and a road surface end, and the information base end is configured to update the target road condition image to an information base;
a current road condition risk score receiving module 604, configured to receive a current road condition risk score sent by the road end, where the current road condition risk score is a score for the target road condition image, obtained after the road end performs risk calculation on the target road condition image;
a reminding information receiving module 605, configured to receive reminding information for the target road condition image sent by the road side if the current road condition risk score is greater than or equal to a preset threshold.
In an optional embodiment, the real-time road condition image obtaining module 601 is specifically configured to:
acquiring the plurality of real-time road condition images;
after the plurality of real-time road condition images are obtained, the method further comprises the following steps:
and carrying out image recognition on the real-time road condition image, and extracting real-time road condition characteristics of the real-time road condition image by adopting a machine vision technology.
In an optional embodiment, the target road condition image extracting module 602 is specifically configured to:
performing feature comparison processing on the real-time road condition features and preset road condition features, and taking the real-time road condition features with the same feature comparison as the risk road condition features, wherein the preset road condition features at least comprise road congestion, uneven road surface, muddy road surface, accumulated road surface water and road collapse;
and extracting a target road condition image corresponding to the risk road condition features from the plurality of real-time road condition images.
In an optional embodiment, the target road condition image sharing module 603 is specifically configured to:
if the fact that communication connection is established between the vehicle and a sharing system corresponding to the road surface to which the real-time position belongs is detected, a target position corresponding to the target road condition image is obtained;
and packaging the target road condition image and the target position, and sending the target road condition image and the target position to an information base end and a road surface end corresponding to the road surface to which the real-time position belongs.
In an alternative embodiment, the apparatus further comprises:
and the current road condition image acquisition module is used for sending an information acquisition request to the information base terminal according to a preset time period and acquiring a current road condition image corresponding to the information acquisition request from the information base terminal.
Referring to fig. 7, a block diagram of another structure of a road surface condition reminding device provided in the embodiment of the present invention is shown, and is applied to a sharing system, and specifically includes the following modules:
the target road condition image receiving module 701 is configured to receive a target road condition image sent by a vehicle if it is detected that a communication connection is established between a sharing system corresponding to a road surface to which a real-time location belongs and the vehicle;
a current road condition risk score calculation module 702, configured to perform risk calculation on the target road condition image sent by the vehicle by the road surface end, so as to obtain a current road condition risk score corresponding to the road surface;
a reminding information sending module 703, configured to generate reminding information for the target road condition image if the current road condition risk score is greater than or equal to a preset threshold, and send the reminding information and the current road condition risk score to the vehicle.
In an optional embodiment, the target road condition image receiving module 701 is specifically configured to:
if the fact that communication connection is established between the sharing system corresponding to the road surface to which the target position belongs and the vehicle is detected, the information base end receives a target road condition image sent by the vehicle, and the target road condition image is an image of the information base end, which is sent to the road surface corresponding to the road surface to which the real-time position belongs, of the vehicle and packages the target road condition image and the real-time position;
if the information base end has the current road condition image, updating the target road condition image into the current road condition image;
and if the current road condition image does not exist in the information base terminal, storing the target road condition image as the current road condition image to the information base terminal.
In an alternative embodiment, the apparatus further comprises:
and the current road condition information sending module is used for sending the current road condition image corresponding to the information acquisition request in the information base to the vehicle when receiving the information acquisition request sent by the vehicle in a preset time period.
In an optional embodiment, the current road condition risk score calculating module 702 is specifically configured to:
the road surface end receives a private key, the target road condition image and the real-time position sent by the vehicle, and the road surface to which the real-time position belongs has a preset risk coefficient;
and the road side carries out risk calculation on the risk road condition characteristics according to the preset risk coefficient, obtains the current road condition risk score corresponding to the road surface, and sends the current road condition risk score to the vehicle.
In an optional embodiment, the reminding information sending module 703 is specifically configured to:
the road surface end carries out risk calculation on the risk road condition characteristics in the target road condition image according to a preset risk coefficient corresponding to the road surface to obtain a target road condition risk score;
and the road surface end acquires historical road condition risk values corresponding to the road surface, and performs cumulative calculation on the historical road condition risk values and the target road condition risk values to acquire the current road condition risk values.
For the device embodiment, since it is basically similar to the method embodiment, the description is simple, and for the relevant points, refer to the partial description of the method embodiment.
In addition, an embodiment of the present invention further provides an electronic device, including: the processor, the memory, and the computer program stored in the memory and capable of running on the processor, when executed by the processor, implement the processes of the above-mentioned warning method for road surface condition embodiments, and can achieve the same technical effects, and in order to avoid repetition, the details are not repeated here.
The embodiment of the present invention further provides a computer-readable storage medium, where a computer program is stored on the computer-readable storage medium, and when being executed by a processor, the computer program implements each process of the above-mentioned reminding method for road surface conditions, and can achieve the same technical effect, and in order to avoid repetition, the detailed description is omitted here. The computer-readable storage medium may be a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk.
Fig. 8 is a schematic structural diagram of an electronic device implementing various embodiments of the present invention.
The electronic device 800 includes, but is not limited to: a radio frequency unit 801, a network module 802, an audio output unit 803, an input unit 804, a sensor 805, a display unit 806, a user input unit 807, an interface unit 808, a memory 809, a processor 810, and a power supply 811. Those skilled in the art will appreciate that the electronic device configuration shown in fig. 8 does not constitute a limitation of the electronic device, and that the electronic device may include more or fewer components than shown, or some components may be combined, or a different arrangement of components. In the embodiment of the present invention, the electronic device includes, but is not limited to, a mobile phone, a tablet computer, a notebook computer, a palm computer, a vehicle-mounted terminal, a wearable device, a pedometer, and the like.
It should be understood that, in the embodiment of the present invention, the radio frequency unit 801 may be used for receiving and sending signals during a message sending and receiving process or a call process, and specifically, receives downlink data from a base station and then processes the received downlink data to the processor 810; in addition, the uplink data is transmitted to the base station. In general, radio frequency unit 801 includes, but is not limited to, an antenna, at least one amplifier, a transceiver, a coupler, a low noise amplifier, a duplexer, and the like. Further, the radio frequency unit 801 may also communicate with a network and other devices through a wireless communication system.
The electronic device provides wireless broadband internet access to the user via the network module 802, such as to assist the user in sending and receiving e-mails, browsing web pages, and accessing streaming media.
The audio output unit 803 may convert audio data received by the radio frequency unit 801 or the network module 802 or stored in the memory 809 into an audio signal and output as sound. Also, the audio output unit 803 may also provide audio output related to a specific function performed by the electronic apparatus 800 (e.g., a call signal reception sound, a message reception sound, etc.). The audio output unit 803 includes a speaker, a buzzer, a receiver, and the like.
The input unit 804 is used for receiving an audio or video signal. The input Unit 804 may include a Graphics Processing Unit (GPU) 8041 and a microphone 8042, and the Graphics processor 8041 processes image data of still pictures or video obtained by an image capturing device (such as a camera) in a video capturing mode or an image capturing mode. The processed image frames may be displayed on the display unit 806. The image frames processed by the graphics processor 8041 may be stored in the memory 809 (or other storage medium) or transmitted via the radio frequency unit 801 or the network module 802. The microphone 8042 can receive sound, and can process such sound into audio data. The processed audio data may be converted into a format output transmittable to a mobile communication base station via the radio frequency unit 801 in case of a phone call mode.
The electronic device 800 also includes at least one sensor 805, such as light sensors, motion sensors, and other sensors. Specifically, the light sensor includes an ambient light sensor that can adjust the brightness of the display panel 8061 according to the brightness of ambient light and a proximity sensor that can turn off the display panel 8061 and/or the backlight when the electronic device 800 is moved to the ear. As one type of motion sensor, an accelerometer sensor can detect the magnitude of acceleration in each direction (generally three axes), detect the magnitude and direction of gravity when stationary, and can be used to identify the posture of an electronic device (such as horizontal and vertical screen switching, related games, magnetometer posture calibration), and vibration identification related functions (such as pedometer, tapping); the sensors 805 may also include fingerprint sensors, pressure sensors, iris sensors, molecular sensors, gyroscopes, barometers, hygrometers, thermometers, infrared sensors, etc., which are not described in detail herein.
The display unit 806 is used to display information input by the user or information provided to the user. The Display unit 806 may include a Display panel 8061, and the Display panel 8061 may be configured in the form of a Liquid Crystal Display (LCD), an Organic Light-Emitting Diode (OLED), or the like.
The user input unit 807 may be used to receive input numeric or character information and generate key signal inputs related to user settings and function control of the electronic apparatus. Specifically, the user input unit 807 includes a touch panel 8071 and other input devices 8072. The touch panel 8071, also referred to as a touch screen, may collect touch operations by a user on or near the touch panel 8071 (e.g., operations by a user on or near the touch panel 8071 using a finger, a stylus, or any other suitable object or accessory). The touch panel 8071 may include two portions of a touch detection device and a touch controller. The touch detection device detects the touch direction of a user, detects a signal brought by touch operation and transmits the signal to the touch controller; the touch controller receives touch information from the touch sensing device, converts the touch information into touch point coordinates, sends the touch point coordinates to the processor 810, receives a command from the processor 810, and executes the command. In addition, the touch panel 8071 can be implemented by various types such as a resistive type, a capacitive type, an infrared ray, and a surface acoustic wave. In addition to the touch panel 8071, the user input unit 807 can include other input devices 8072. Specifically, the other input devices 8072 may include, but are not limited to, a physical keyboard, function keys (such as volume control keys, switch keys, etc.), a trackball, a mouse, and a joystick, which are not described herein again.
Further, the touch panel 8071 can be overlaid on the display panel 8061, and when the touch panel 8071 detects a touch operation on or near the touch panel 8071, the touch operation is transmitted to the processor 810 to determine the type of the touch event, and then the processor 810 provides a corresponding visual output on the display panel 8061 according to the type of the touch event. Although in fig. 8, the touch panel 8071 and the display panel 8061 are two independent components to implement the input and output functions of the electronic device, in some embodiments, the touch panel 8071 and the display panel 8061 may be integrated to implement the input and output functions of the electronic device, and the implementation is not limited herein.
The interface unit 808 is an interface for connecting an external device to the electronic apparatus 800. For example, the external device may include a wired or wireless headset port, an external power supply (or battery charger) port, a wired or wireless data port, a memory card port, a port for connecting a device having an identification module, an audio input/output (I/O) port, a video I/O port, an earphone port, and the like. The interface unit 808 may be used to receive input (e.g., data information, power, etc.) from an external device and transmit the received input to one or more elements within the electronic apparatus 800 or may be used to transmit data between the electronic apparatus 800 and an external device.
The memory 809 may be used to store software programs as well as various data. The memory 809 may mainly include a program storage area and a data storage area, wherein the program storage area may store an operating system, application programs (such as a sound playing function, an image playing function, etc.) required for at least one function, and the like; the storage data area may store data (such as audio data, a phonebook, etc.) created according to the use of the cellular phone, and the like. Further, the memory 809 can include high speed random access memory, and can also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other volatile solid state storage device.
The processor 810 is a control center of the electronic device, connects various parts of the whole electronic device by using various interfaces and lines, performs various functions of the electronic device and processes data by operating or executing software programs and/or modules stored in the memory 809 and calling data stored in the memory 809, thereby integrally monitoring the electronic device. Processor 810 may include one or more processing units; preferably, the processor 810 may integrate an application processor, which mainly handles operating systems, user interfaces, application programs, etc., and a modem processor, which mainly handles wireless communications. It will be appreciated that the modem processor described above may not be integrated into processor 810.
The electronic device 800 may further include a power supply 811 (e.g., a battery) for providing power to the various components, and preferably, the power supply 811 may be logically coupled to the processor 810 via a power management system to manage charging, discharging, and power consumption management via the power management system.
In addition, the electronic device 800 includes some functional modules that are not shown, and are not described in detail here.
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 phrases "comprising a component of' 8230; \8230;" does not exclude the presence of another like element in a process, method, article, or apparatus that comprises the element.
Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solutions of the present invention or portions thereof contributing to the prior art may be embodied in the form of a software product, which is stored in a storage medium (such as ROM/RAM, magnetic disk, optical disk) and includes instructions for enabling a terminal (such as a mobile phone, a computer, a server, an air conditioner, or a network device) to execute the methods according to the embodiments of the present invention.
While the present invention has been described with reference to the embodiments shown in the drawings, the present invention is not limited to the embodiments, which are illustrative and not restrictive, and it will be apparent to those skilled in the art that various changes and modifications can be made therein without departing from the spirit and scope of the invention as defined in the appended claims.
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 implementation. 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 invention.
It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described systems, apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the units is only one logical division, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed 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 can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into 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 such understanding, the technical solution of the present invention or a part thereof which substantially contributes to the prior art may be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U disk, a removable hard disk, a ROM, a RAM, a magnetic disk or an optical disk, and various media capable of storing program codes.
The above description is only for the specific embodiments of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art can easily think of the changes or substitutions within the technical scope of the present invention, and shall cover the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.

Claims (14)

1. A method for reminding road surface conditions, which is applied to a vehicle, and comprises the following steps:
acquiring a plurality of real-time road condition images and real-time positions corresponding to the real-time road condition images, wherein the real-time road condition images comprise real-time road condition characteristics;
extracting the real-time road condition image with the real-time road condition characteristics as risk road condition characteristics from the plurality of real-time road condition images as a target road condition image;
if the fact that communication connection is established between the vehicle and a sharing system corresponding to the road surface to which the real-time position belongs is detected, the target road condition image is sent to the sharing system corresponding to the road surface, the sharing system comprises an information base end and a road surface end, and the information base end is used for updating the target road condition image to an information base;
receiving a current road condition risk score sent by the road end, wherein the current road condition risk score is a score aiming at the target road condition image obtained after risk calculation is carried out on the target road condition image by the road end;
and if the current road condition risk score is greater than or equal to a preset threshold value, receiving reminding information aiming at the target road condition image, which is sent by the road side.
2. The method of claim 1, wherein the obtaining the plurality of real-time traffic status images comprises:
acquiring the plurality of real-time road condition images;
after the plurality of real-time road condition images are obtained, the method further comprises the following steps:
and carrying out image recognition on the real-time road condition image, and extracting the real-time road condition characteristics of the real-time road condition image by adopting a machine vision technology.
3. The method as claimed in claim 1, wherein said extracting the target traffic image with the real-time traffic characteristics as risk traffic characteristics from the plurality of real-time traffic images comprises:
performing feature comparison processing on the real-time road condition features and preset road condition features, and taking the real-time road condition features with the same feature comparison as the risk road condition features, wherein the preset road condition features at least comprise road congestion, uneven road surface, muddy road surface, accumulated road surface water and road collapse;
and extracting a target road condition image corresponding to the risk road condition features from the plurality of real-time road condition images.
4. The method according to claim 1, wherein the sending the target road condition image to a sharing system corresponding to the road surface if it is detected that a communication connection is established between the vehicle and the sharing system corresponding to the road surface to which the real-time location belongs comprises:
if the fact that communication connection is established between the vehicle and a sharing system corresponding to the road surface to which the real-time position belongs is detected, a target position corresponding to the target road condition image is obtained;
and packaging the target road condition image and the target position, and sending the target road condition image and the target position to an information base end and a road surface end corresponding to the road surface of the road to which the real-time position belongs.
5. The method of claim 4, further comprising:
and sending an information acquisition request to the information base end according to a preset time period, and acquiring a current road condition image corresponding to the information acquisition request from the information base end.
6. A method for reminding of road surface conditions is applied to a sharing system, the sharing system comprises an information base end and a road surface end, and the method comprises the following steps:
if the fact that communication connection is established between a sharing system corresponding to the road surface where the real-time position belongs and a vehicle is detected, the information base end receives a target road condition image sent by the vehicle;
the road surface end carries out risk calculation on a target road condition image sent by the vehicle to obtain a current road condition risk score corresponding to the road surface;
and if the current road condition risk score is larger than or equal to a preset threshold value, generating reminding information aiming at the target road condition image, and sending the reminding information and the current road condition risk score to the vehicle.
7. The method according to claim 6, wherein if it is detected that a communication connection is established between the sharing system corresponding to the road surface to which the real-time location belongs and a vehicle, the receiving, by the information base, the target road condition image sent by the vehicle comprises:
if the fact that communication connection is established between the sharing system corresponding to the road surface to which the target position belongs and the vehicle is detected, the information base end receives a target road condition image sent by the vehicle, and the target road condition image is an image of the information base end, which is sent to the road surface corresponding to the road surface to which the real-time position belongs, of the vehicle and packages the target road condition image and the real-time position;
if the information base end has the current road condition image, updating the target road condition image into the current road condition image;
and if the current road condition image does not exist in the information base terminal, storing the target road condition image as the current road condition image to the information base terminal.
8. The method of claim 7, further comprising:
and when an information acquisition request sent by the vehicle is received in a preset time period, sending the current road condition image corresponding to the information acquisition request in the information base to the vehicle.
9. The method according to claim 6, wherein the road surface end performs risk calculation on the target road condition image sent by the vehicle to obtain a current road condition risk score corresponding to the road surface, and sends the current road condition risk score to the vehicle, and the method comprises:
the road surface end receives a private key, the target road condition image and the real-time position sent by the vehicle, and the road surface to which the real-time position belongs has a preset risk coefficient;
and the road side carries out risk calculation on the risk road condition characteristics according to the preset risk coefficient, obtains the current road condition risk score corresponding to the road surface, and sends the current road condition risk score to the vehicle.
10. The method according to claim 9, wherein the road side performs risk calculation on the risky road condition features according to the preset risk coefficient to obtain a current road condition risk score corresponding to the road surface, and sends the current road condition risk score to the vehicle, including:
the road surface end carries out risk calculation on the risk road condition characteristics in the target road condition image according to a preset risk coefficient corresponding to the road surface to obtain a target road condition risk score;
and the road surface end acquires historical road condition risk values corresponding to the road surface, and performs cumulative calculation on the historical road condition risk values and the target road condition risk values to acquire the current road condition risk values.
11. A warning device for road surface conditions, for use in a vehicle, the device comprising:
the real-time road condition image acquisition module is used for acquiring a plurality of real-time road condition images and real-time positions corresponding to the real-time road condition images, and the real-time road condition images comprise real-time road condition characteristics;
the target road condition image extraction module is used for extracting the real-time road condition image with the real-time road condition characteristics as the risk road condition characteristics from the plurality of real-time road condition images as a target road condition image;
the target road condition image sharing module is used for sending the target road condition image to a sharing system corresponding to the road surface if the fact that communication connection is established between the vehicle and the sharing system corresponding to the road surface to which the real-time position belongs is detected, wherein the sharing system comprises an information base end and a road surface end, and the information base end is used for updating the target road condition image to an information base;
a current road condition risk score receiving module, configured to receive a current road condition risk score sent by the road end, where the current road condition risk score is a score for the target road condition image, obtained after the road end performs risk calculation on the target road condition image;
and the reminding information receiving module is used for receiving reminding information which is sent by the road side and aims at the target road condition image if the current road condition risk score is greater than or equal to a preset threshold value.
12. A reminding device of road surface condition is applied to a sharing system, the sharing system comprises an information base end and a road surface end, and the device comprises:
the target road condition image receiving module is used for receiving a target road condition image sent by a vehicle if the fact that the sharing system corresponding to the road surface to which the real-time position belongs is in communication connection with the vehicle is detected;
the current road condition risk score calculation module is used for carrying out risk calculation on a target road condition image sent by the vehicle by the road surface end to obtain a current road condition risk score corresponding to the road surface;
and the reminding information sending module is used for generating reminding information aiming at the target road condition image if the current road condition risk score is greater than or equal to a preset threshold value, and sending the reminding information and the current road condition risk score to the vehicle.
13. An electronic device, comprising a processor, a communication interface, a memory and a communication bus, wherein the processor, the communication interface and the memory communicate with each other via the communication bus;
the memory is used for storing a computer program;
the processor, when executing a program stored on the memory, implementing the method of any of claims 1-5 or 6-10.
14. A computer-readable storage medium having instructions stored thereon, which when executed by one or more processors, cause the processors to perform the method of any one of claims 1-5 or 6-10.
CN202211347668.4A 2022-10-31 2022-10-31 Method and device for reminding road surface condition, electronic equipment and storage medium Pending CN115762138A (en)

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CN202211347668.4A CN115762138A (en) 2022-10-31 2022-10-31 Method and device for reminding road surface condition, electronic equipment and storage medium

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202211347668.4A CN115762138A (en) 2022-10-31 2022-10-31 Method and device for reminding road surface condition, electronic equipment and storage medium

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CN115762138A true CN115762138A (en) 2023-03-07

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116432865A (en) * 2023-06-08 2023-07-14 深圳市城市交通规划设计研究中心股份有限公司 Urban bridge group anti-overturning prediction method and system device

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116432865A (en) * 2023-06-08 2023-07-14 深圳市城市交通规划设计研究中心股份有限公司 Urban bridge group anti-overturning prediction method and system device
CN116432865B (en) * 2023-06-08 2023-09-08 深圳市城市交通规划设计研究中心股份有限公司 Urban bridge group anti-overturning prediction method and system device

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