CN117809450A

CN117809450A - Information processing method, apparatus, device and computer readable storage medium

Info

Publication number: CN117809450A
Application number: CN202211177333.2A
Authority: CN
Inventors: 王彤辉
Original assignee: Beijing Rockwell Technology Co Ltd
Current assignee: Beijing Rockwell Technology Co Ltd
Priority date: 2022-09-26
Filing date: 2022-09-26
Publication date: 2024-04-02

Abstract

The present disclosure relates to an information processing method, apparatus, device, and computer-readable storage medium. The information processing method comprises the following steps: acquiring real-time road data of a first real-time position where a first vehicle is located; based on the real-time road data, carrying out road scene analysis on the first real-time position to obtain at least one road scene to which the first real-time position belongs; if at least one road scene has a target road scene belonging to an abnormal scene type, generating abnormal road condition information corresponding to a first real-time position; and sending abnormal road condition information to the server, wherein the abnormal road condition information is used for notifying a second vehicle to send out abnormal road condition reminding. According to the embodiment of the disclosure, a driver can know sudden abnormal road conditions in time, and driving safety is improved.

Description

Information processing method, apparatus, device and computer readable storage medium

Technical Field

The present disclosure relates to the field of information processing technologies, and in particular, to an information processing method, an apparatus, a device, and a computer readable storage medium.

Background

The existing vehicle provides navigation service for a driver through a navigation system, the navigation service mainly comprises the steps of planning a path for the driver, providing traffic rules of a road section to be passed, monitoring the condition of a camera and the like, wherein the road section with less traffic lights, less time and no traffic jam can be preferentially recommended to the driver when the path is planned, the driver can conveniently and rapidly reach a destination, meanwhile, the traffic rules of the road section to be passed such as the speed limit of the road section, the driving notice of the road section and the monitoring condition of the camera are provided for the driver during driving, and the driver is reminded of the traffic rules of the road section to be passed, such as the speed limit of the road section, the driving notice of the road section and the monitoring condition of the camera, at proper time, so that the illegal operation of the driver can be effectively avoided.

Although the prior art provides many convenience for the driver, the existing navigation system cannot provide real-time sudden abnormal road condition information for the driver, so that the driver cannot timely learn the related sudden abnormal road condition information, and the driving safety is reduced.

Disclosure of Invention

In order to solve the technical problems described above, the present disclosure provides an information processing method, apparatus, device, and computer-readable storage medium.

In a first aspect, the present disclosure provides an information processing method applied to a first vehicle, the method including:

acquiring real-time road data of a first real-time position where a first vehicle is located;

based on the real-time road data, carrying out road scene analysis on the first real-time position to obtain at least one road scene to which the first real-time position belongs;

if at least one road scene has a target road scene belonging to an abnormal scene type, generating abnormal road condition information corresponding to a first real-time position;

and sending abnormal road condition information to the server, wherein the abnormal road condition information is used for notifying a second vehicle to send out abnormal road condition reminding.

In a second aspect, the present disclosure provides an information processing method applied to a second vehicle, the method including:

The method comprises the steps of receiving abnormal road condition information sent by a server, wherein the abnormal road condition information corresponds to a first real-time position, generating the abnormal road condition information when at least one road scene corresponding to the first real-time position has a target road scene belonging to an abnormal scene type, and analyzing and obtaining the at least one road scene based on real-time road data acquired by a first vehicle at the first real-time position;

and responding to the abnormal road condition information, and sending out an abnormal road condition prompt.

In a third aspect, the present disclosure provides an information processing apparatus applied to a first vehicle, the apparatus including:

the data acquisition module is used for acquiring real-time road data of a first real-time position where a first vehicle is located;

the scene analysis module is used for carrying out road scene analysis on the first real-time position based on the real-time road data to obtain at least one road scene to which the first real-time position belongs;

the information generation module is used for generating abnormal road condition information corresponding to the first real-time position if at least one road scene exists a target road scene belonging to the abnormal scene type;

the information sending module is used for sending abnormal road condition information to the server, and the abnormal road condition information is used for informing the second vehicle to send out abnormal road condition reminding.

In a fourth aspect, the present disclosure provides an information processing apparatus applied to a second vehicle, the apparatus including:

the information receiving module is used for receiving abnormal road condition information sent by the server, the abnormal road condition information corresponds to the first real-time position, the abnormal road condition information is generated when at least one road scene corresponding to the first real-time position has a target road scene belonging to an abnormal scene type, and the at least one road scene is obtained based on real-time road data analysis acquired by a first vehicle at the first real-time position;

the road condition reminding module is used for responding to the abnormal road condition information and sending out abnormal road condition reminding.

In a fifth aspect, the present disclosure provides an information processing apparatus including:

a processor;

a memory for storing executable instructions;

the processor is configured to read executable instructions from the memory and execute the executable instructions to implement the information processing method of the first aspect or the second aspect of the present application.

In a sixth aspect, the present disclosure provides a computer-readable storage medium storing a computer program which, when executed by a processor, causes the processor to implement the information processing method of the first aspect or the second aspect.

Compared with the prior art, the technical scheme provided by the embodiment of the disclosure has the following advantages:

according to the information processing method, device and equipment and the computer readable storage medium, real-time road data of the first real-time position can be acquired by the first vehicle at the first real-time position, and road scene analysis is carried out on the first real-time position based on the real-time road data to obtain at least one road scene to which the real-time position belongs, so that when at least one target road scene with an abnormal scene type exists in the at least one road scene, corresponding abnormal road condition information is generated, the abnormal road condition information is sent to the server, the server can inform other vehicles, namely, the second vehicle, of sending abnormal road condition reminding corresponding to the abnormal road condition information, further the other vehicles can timely acquire the abnormal road condition information and timely carry out abnormal road condition reminding on a driver, and therefore the driver can timely acquire sudden abnormal road condition, and driving safety is improved.

Drawings

The above and other features, advantages, and aspects of embodiments of the present disclosure will become more apparent by reference to the following detailed description when taken in conjunction with the accompanying drawings. The same or similar reference numbers will be used throughout the drawings to refer to the same or like elements. It should be understood that the figures are schematic and that elements and components are not necessarily drawn to scale.

FIG. 1 is an application scenario diagram of an information processing method in one embodiment;

FIG. 2 is a flow chart of a method of processing information in one embodiment;

FIG. 3 is a flow chart of a method of processing information according to another embodiment;

FIG. 4 is a block diagram showing the structure of an information processing apparatus in one embodiment;

FIG. 5 is a block diagram showing an information processing apparatus according to another embodiment;

fig. 6 is a schematic diagram of the structure of an information processing apparatus in one embodiment.

Detailed Description

Embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While certain embodiments of the present disclosure have been shown in the accompanying drawings, it is to be understood that the present disclosure may be embodied in various forms and should not be construed as limited to the embodiments set forth herein, but are provided to provide a more thorough and complete understanding of the present disclosure. It should be understood that the drawings and embodiments of the present disclosure are for illustration purposes only and are not intended to limit the scope of the present disclosure.

It should be understood that the various steps recited in the method embodiments of the present disclosure may be performed in a different order and/or performed in parallel. Furthermore, method embodiments may include additional steps and/or omit performing the illustrated steps. The scope of the present disclosure is not limited in this respect.

The term "including" and variations thereof as used herein are intended to be open-ended, i.e., including, but not limited to. The term "based on" is based at least in part on. The term "one embodiment" means "at least one embodiment"; the term "another embodiment" means "at least one additional embodiment"; the term "some embodiments" means "at least some embodiments. Related definitions of other terms will be given in the description below.

It should be noted that the terms "first," "second," and the like in this disclosure are merely used to distinguish between different devices, modules, or units and are not used to define an order or interdependence of functions performed by the devices, modules, or units.

It should be noted that references to "one", "a plurality" and "a plurality" in this disclosure are intended to be illustrative rather than limiting, and those of ordinary skill in the art will appreciate that "one or more" is intended to be understood as "one or more" unless the context clearly indicates otherwise.

The names of messages or information interacted between the various devices in the embodiments of the present disclosure are for illustrative purposes only and are not intended to limit the scope of such messages or information.

The information processing method provided by the disclosure can be applied to an application scene shown in fig. 1. The application scenario includes a first vehicle 110, a second vehicle 120, and a server 130. Wherein the information processing device on the first vehicle 110 and the information processing device on the second vehicle 120 may communicate with the server 130 through internet of vehicles technology, respectively.

The first vehicle 110 may be any vehicle passing through a first real-time location, the second vehicle 120 may be any vehicle, and the first real-time location may be any road location.

The information processing device on the first vehicle 110 may be a main controller, a System On Chip (SOC), or a power platform, which is not limited herein. The information processing device on the second vehicle 120 may be a main controller, a driving-assisting SOC, or a power platform, which is not limited herein.

The server 130 may be implemented as a stand-alone server or as a server cluster composed of a plurality of servers. The server 130 may receive and store the abnormal road condition information transmitted from the information processing apparatus on the first vehicle 110 and transmit the abnormal road condition information to the information processing apparatus on the second vehicle 120.

Specifically, the information processing device on the first vehicle 110 may acquire real-time road data of a first real-time location where the first vehicle is located, so as to perform road scene analysis on the first real-time location based on the real-time road data, obtain at least one road scene to which the first real-time location belongs, further detect whether a target road scene belonging to an abnormal scene type exists in the at least one road scene, and if it is detected that the target road scene belonging to the abnormal scene type exists in the at least one road scene, generate abnormal road condition information corresponding to the first real-time location, and send the abnormal road condition information to the server.

After receiving the abnormal traffic information, the server 130 may send the abnormal traffic information to the information processing device on the second vehicle 120, so as to inform the information processing device on the second vehicle 120 to send out an abnormal traffic alert corresponding to the abnormal traffic information.

The information processing device on the second vehicle 120 may receive the abnormal road condition information transmitted from the server and send out an abnormal road condition reminder in response to the abnormal road condition information.

Therefore, the real-time road data of the first real-time position can be acquired by the first vehicle at the first real-time position, and the road scene analysis is carried out on the first real-time position based on the real-time road data, so that at least one road scene of the real-time position is obtained, when at least one target road scene of an abnormal scene type exists in the at least one road scene, the corresponding abnormal road condition information is generated, and the abnormal road condition information is sent to the server, so that the server can inform other vehicles, namely the second vehicle, to send abnormal road condition reminding corresponding to the abnormal road condition information, and further the other vehicles can timely acquire the abnormal road condition information and timely carry out the abnormal road condition reminding on a driver, so that the driver can timely acquire sudden abnormal road condition, and the driving safety is improved.

In some embodiments, the information processing device on the first vehicle 110 may further detect a real-time vehicle state of the first vehicle 110 before acquiring the real-time road data of the first real-time location where the first vehicle 110 is located, and if the real-time vehicle state of the first vehicle 110 is detected to be a driving state, acquire the real-time road data of the first real-time location where the first vehicle 110 is located.

Therefore, the information processing device on the first vehicle 110 can acquire real-time road data of the first real-time position where the first vehicle 110 is located in the driving process, so that the effectiveness of the detected first real-time position is improved, the data processing amount of the information processing device on the first vehicle 110 when the first vehicle 110 is in other states is reduced, and the computing resources of the information processing device on the first vehicle 110 are saved.

In some embodiments, the information processing device on the first vehicle 110 may input real-time road data into a pre-trained road scene analysis model, so as to perform road scene prediction analysis on the real-time road data through the road scene analysis model, obtain probability values of the first real-time position output by the road scene analysis model belonging to each preset scene, and further use the preset scene with the probability value greater than or equal to the preset first probability value threshold as the road scene to which the first real-time position belongs.

Thus, the information processing device on the first vehicle 110 may perform the road scene prediction analysis on the real-time road data by using the pre-trained road scene analysis model, so as to obtain the road scene to which the first real-time position belongs, and further make the road scene obtained by the analysis more accurate.

In some embodiments, when generating the abnormal road condition information corresponding to the first real-time position, the information processing device on the first vehicle 110 may perform fusion calculation on the probability value corresponding to the target road scene to obtain the abnormal probability value corresponding to the first real-time position, then compare the abnormal probability value with a preset second probability value threshold, and if the abnormal probability value is greater than or equal to the second probability value threshold, generate the abnormal road condition information corresponding to the first real-time position.

Therefore, the information processing device on the first vehicle 110 may perform fusion calculation on the probability values of all the target road scenes belonging to the abnormal scene type to obtain an abnormal probability value corresponding to the first real-time position, compare the abnormal probability value with the second probability value threshold to analyze whether the first real-time position is abnormal, and if the first real-time position is greater than or equal to the preset second probability value threshold, determine that the first real-time position is abnormal, so as to generate abnormal road condition information corresponding to the first real-time position, thereby further improving the accuracy of the generated abnormal road condition information.

In some embodiments, the information processing apparatus on the second vehicle 120 may receive the broadcast information transmitted from the server 130 and obtain the abnormal road condition information in the broadcast information.

Therefore, the server 130 does not need to send information to each vehicle in a directional manner, but notifies the related vehicle in a widely released form, so that the server 130 is prevented from missing information, each related vehicle can receive the information, and the driving safety of the related vehicle is further improved.

In other embodiments of the present disclosure, before sending the abnormal road condition reminder, the information processing device on the second vehicle 120 may detect, in real time, whether the second vehicle 120 approaches the first real-time position according to the abnormal road condition information, if the second vehicle 120 approaches the first real-time position is detected, then sending the abnormal road condition reminder corresponding to the abnormal road condition information, otherwise, not sending the abnormal road condition reminder corresponding to the abnormal road condition information.

Therefore, the information processing device on the second vehicle 120 can send out the abnormal road condition reminding corresponding to the abnormal road condition information when detecting that the second vehicle 120 can approach the first real-time position, so that unnecessary abnormal road condition reminding is sent to the driver, and driving interference to the driver is reduced.

In still other embodiments, the information processing device on the second vehicle 120 may further detect, in real time, whether the second vehicle 120 arrives in the road range corresponding to the first real-time position according to the abnormal road condition information after receiving the abnormal road condition information sent by the server and before sending the abnormal road condition reminder corresponding to the abnormal road condition information, and further send the abnormal road condition reminder corresponding to the abnormal road condition information when detecting that the second vehicle 120 arrives in the road range corresponding to the first real-time position, or not send the abnormal road condition reminder corresponding to the abnormal road condition information.

Therefore, the information processing device on the second vehicle 120 can send out the abnormal road condition reminding corresponding to the abnormal road condition information when detecting that the second vehicle 120 arrives in the road range corresponding to the first real-time position, so that the vigilance and driving safety of a driver are further improved.

In still other embodiments, the information processing apparatus on the second vehicle 120 may further detect, in real time, whether the second vehicle 120 arrives in the road range corresponding to the first real-time position according to the abnormal road condition information after detecting that the second vehicle 120 approaches the first real-time position and before sending the abnormal road condition reminder corresponding to the abnormal road condition information, and further send the abnormal road condition reminder corresponding to the abnormal road condition information when detecting that the second vehicle 120 arrives in the road range corresponding to the first real-time position, or not send the abnormal road condition reminder corresponding to the abnormal road condition information.

Therefore, the information processing device on the second vehicle 120 can send out the abnormal road condition reminding corresponding to the abnormal road condition information when detecting that the second vehicle 120 arrives in the road range corresponding to the first real-time position, so that the vigilance and driving safety of a driver are further improved. Meanwhile, the information processing device on the second vehicle 120 further detects whether the second vehicle 120 reaches the road range corresponding to the first real-time position in real time only when detecting that the second vehicle 120 approaches the first real-time position, so that the data processing amount of the information processing device on the second vehicle 120 is reduced.

In still other embodiments of the present disclosure, the information processing apparatus on the first vehicle 110 may acquire the first location information corresponding to the first real-time location and the abnormal scene tag corresponding to the target road scene, and then package the acquired first location information and abnormal scene tag into the abnormal road condition information to generate the abnormal road condition information corresponding to the first real-time location.

In some embodiments, the abnormal road condition information received by the information processing apparatus on the second vehicle 120 may include first location information corresponding to the first real-time location, and the information processing apparatus on the second vehicle 120 may detect whether the planned path of the second vehicle 120 passes through the first real-time location based on the first location information, determine that the planned path of the second vehicle 120 passes through the first real-time location if the planned path of the second vehicle 120 passes through the first real-time location is detected, and determine that the planned path of the second vehicle 120 does not pass through the first real-time location if the planned path of the second vehicle 120 does not pass through the first real-time location is detected.

Therefore, the information processing device on the second vehicle 120 can detect whether the second vehicle 120 can approach the first real-time position based on the first position information corresponding to the first real-time position and the planned path of the second vehicle 120, so that the accuracy of the detection result is improved.

In some embodiments, the abnormal road condition information received by the information processing device on the second vehicle 120 may include first location information corresponding to the first real-time location, and further may detect, in real time, whether the first real-time location is within a front preset range along the traveling direction of the second vehicle 120 based on the first location information, if the first real-time location is detected to be within the front preset range, determining that the second vehicle 120 is detected to reach the road range corresponding to the first real-time location, otherwise, determining that the second vehicle 120 is detected not to reach the road range corresponding to the first real-time location.

Thus, the information processing apparatus on the second vehicle 120 can detect whether the second vehicle 120 arrives within the road range corresponding to the first real-time position by detecting whether the first real-time position exists within the specified road area in front of the second vehicle 120, so as to improve the accuracy of the detection result, provide the response time for the driver, and further improve the driving safety of the vehicle.

In other embodiments, the abnormal road condition information received by the information processing device on the second vehicle 120 includes first position information corresponding to the first real-time position, so that the abnormal road condition reminding position corresponding to the first real-time position can be determined based on the first position information, whether the second vehicle 120 reaches the abnormal road condition reminding position is detected in real time, if the second vehicle 120 reaches the abnormal road condition reminding position, it is determined that the second vehicle 120 reaches the road range corresponding to the first real-time position, otherwise, it is determined that the second vehicle 120 does not reach the road range corresponding to the first real-time position.

Thus, the information processing device on the second vehicle 120 can detect whether the second vehicle 120 arrives in the road range corresponding to the first real-time position by detecting whether the second vehicle 120 arrives in the abnormal road condition reminding position corresponding to the first real-time position, so as to improve the accuracy of the detection result, provide the response time for the driver, and further improve the driving safety of the vehicle.

In an embodiment of the present disclosure, as shown in fig. 2, the present disclosure provides a flowchart of an information processing method. In the disclosed embodiments, the method may be applied to a first vehicle, which may be, for example, first vehicle 110 in fig. 1. Further, the method may be applied to an information processing device on a first vehicle, where the information processing device on the first vehicle may be a main controller, may be an assisted driving SOC, or may be a power platform, and is not limited herein.

As shown in fig. 2, the information processing method may include the steps of:

s210, acquiring real-time road data of a first real-time position where a first vehicle is located.

In the embodiment of the disclosure, in the case where the information processing device on the first vehicle needs to detect the road condition of the first real-time position where the first vehicle is located, the real-time road data of the first real-time position where the first vehicle is located may be acquired.

Optionally, after the first vehicle is started or during the running of the first vehicle, the information processing device on the first vehicle may collect real-time road data of the first real-time position where the first vehicle is located in real time through the sensor on the first vehicle.

Alternatively, the first real-time location may be any road location.

In some embodiments, if the first real-time position is any road position of the first vehicle after the first vehicle is started, the first real-time position where the first vehicle is located may be any road position where the first vehicle is parked or any road position where the first vehicle is running.

Therefore, the information processing equipment on the first vehicle can acquire real-time road data of each first real-time position of the first vehicle after the first vehicle is started, the comprehensiveness of the detected first real-time position is improved, and the information processing equipment on the first vehicle can more comprehensively detect abnormal road conditions of each road position.

In some embodiments, if the first real-time location is any road location of the first vehicle during driving, the first real-time location where the first vehicle is located may be any road location where the first vehicle is driving.

Therefore, the information processing device on the first vehicle can acquire real-time road data of the first real-time position of the first vehicle in the driving process, the effectiveness of the confirmation of the first real-time position is improved, the data processing amount of the information processing device on the first vehicle when the first vehicle is in other states is reduced, and the computing resources of the information processing device on the first vehicle are saved.

Optionally, the real-time road data may include environmental image data, the real-time road data may also include environmental temperature and humidity data, and the real-time road data may also include other data related to detecting road conditions, which is not limited herein.

In the case where the real-time road data includes environmental image data, the sensor may include at least one of an optical camera sensor, a laser radar sensor, and a millimeter wave radar sensor, and at this time, the sensor may be used to collect environmental image data located in front of a position where the vehicle is located in a traveling direction of the vehicle.

In some examples, the sensors may include optical camera sensors, lidar sensors, and millimeter wave radar sensors to ensure that clear and complete ambient image data is acquired during different weather conditions for different periods of time using different sensors.

Under the condition that the real-time road data comprise environmental temperature and humidity data, the sensor can comprise a temperature and humidity sensor, and at the moment, the sensor can be used for collecting the environmental temperature and humidity data of the position where the vehicle is located.

Where the real-time road data includes other data related to detecting road conditions, the sensor may include other related sensors, without limitation.

And S220, carrying out road scene analysis on the first real-time position based on the real-time road data to obtain at least one road scene to which the first real-time position belongs.

In the embodiment of the disclosure, after the information processing device on the first vehicle acquires the real-time road data, the information processing device may perform road scene analysis on the first real-time location based on the real-time road data, so as to obtain at least one road scene to which the first real-time location belongs.

Further, the road scene may include a scene related to weather factors at the first real-time location and a scene related to artifacts at the first real-time location.

The scenes related to the weather factors at the first real-time position can comprise scenes such as sunny days, icing, storm, heavy fog, haze and the like, and the scenes related to the human factors at the first real-time position can comprise scenes such as smoothness, traffic accidents, road congestion, temporary control and the like.

Further, these road scenes may be divided into a road scene of a normal scene type and a road scene of an abnormal scene type.

For example, a scene such as a sunny day and a clear scene may be a road scene of a normal scene type, and a scene such as icing, storm, heavy fog, haze, traffic accidents, road congestion, temporary control and the like may be a road scene of an abnormal scene type.

That is, as long as the road scene which does not affect the normal traffic or the safe driving belongs to the normal scene type, the road scene which prevents the normal traffic or affects the safe driving belongs to the abnormal scene type.

And S230, if at least one road scene has a target road scene belonging to the abnormal scene type, generating abnormal road condition information corresponding to the first real-time position.

In the embodiment of the present disclosure, after analyzing at least one road scene to which the first real-time position belongs, the information processing device on the first vehicle may detect whether a target road scene belonging to an abnormal scene type exists in the at least one road scene, and if the target road scene belonging to the abnormal scene type exists in the at least one road scene, generate abnormal road condition information corresponding to the first real-time position, otherwise, not generate abnormal road condition information corresponding to the first real-time position, and return to S210.

In some embodiments, the information processing device on the first vehicle has a road scene blacklist stored in advance, the road scene blacklist including all abnormal road scenes of the abnormal scene type. After obtaining at least one road scene to which the first real-time position belongs, the information processing device on the first vehicle may match the obtained at least one road scene with each abnormal road scene in the pre-stored road scene blacklist. If at least one road scene is matched with the abnormal road scene in the road scene blacklist, the information processing equipment on the first vehicle takes the road scene matched with the abnormal road scene in the road scene blacklist as a target road scene belonging to the abnormal scene type, and determines that the at least one road scene is detected to have the target road scene belonging to the abnormal scene type; if no road scene matched with the abnormal road scene in the road scene blacklist exists in the at least one road scene, the information processing equipment on the first vehicle determines that the target road scene belonging to the abnormal scene type exists in the at least one road scene.

In other embodiments, the information processing device on the first vehicle has a road scene white list stored in advance, where the road scene white list includes all normal road scenes of the normal scene type. After obtaining at least one road scene to which the first real-time position belongs, the information processing device on the first vehicle may match the obtained at least one road scene with each normal road scene in the pre-stored road scene white list. If at least one road scene is not matched with a normal road scene in the road scene white list, the information processing equipment on the first vehicle takes the road scene which is not matched with the normal road scene in the road scene white list as a target road scene belonging to an abnormal scene type, and determines that the at least one road scene is detected to have the target road scene belonging to the abnormal scene type; if there is no road scene in the at least one road scene that does not match the normal road scene in the road scene white list, the information processing device on the first vehicle determines that there is no target road scene belonging to the abnormal scene type in the at least one road scene.

The information processing device on the first vehicle can acquire and store a new road scene blacklist or a new road scene whitelist from the server at regular intervals so as to update the road scene blacklist or the road scene whitelist in time.

Wherein the server may be, for example, server 130 in fig. 1.

S240, abnormal road condition information is sent to the server and used for informing the second vehicle to send out abnormal road condition reminding.

In the embodiment of the disclosure, after generating the abnormal road condition information corresponding to the first real-time position, the information processing device on the first vehicle may send the abnormal road condition information to the server through the internet of vehicles technology.

Specifically, the information processing device on the first vehicle may send the abnormal road condition information to the server through the internet of vehicles module in the communication device on the first vehicle. After receiving the abnormal road condition information, the server can send the abnormal road condition information to the information processing equipment on each vehicle so as to inform the information processing equipment on the corresponding vehicle of sending out abnormal road condition reminding.

Alternatively, the abnormal road condition information may be specifically used to notify the route or the second vehicle that is about to arrive at the first real-time location to send out the abnormal road condition reminder.

In the embodiment of the disclosure, the real-time road data of the first real-time position can be acquired by the first vehicle at the first real-time position, and the road scene analysis is performed on the first real-time position based on the real-time road data, so that at least one road scene to which the real-time position belongs is obtained, and further when at least one target road scene with an abnormal scene type exists in the at least one road scene, corresponding abnormal road condition information is generated, and the abnormal road condition information is sent to the server, so that the server can inform other vehicles, namely the second vehicle, to send abnormal road condition reminding corresponding to the abnormal road condition information, and further the other vehicles can timely acquire the abnormal road condition information and timely perform the abnormal road condition reminding on the driver, so that the driver can timely acquire sudden abnormal road condition, and driving safety is improved.

In another embodiment of the present disclosure, in a case where the information processing apparatus on the first vehicle needs to detect a road condition of the first real-time location where the first vehicle is located when the first vehicle starts traveling, the information processing method may further include, before S210: a real-time vehicle state of the first vehicle is detected.

Specifically, after the first vehicle is started, the information processing apparatus on the first vehicle may detect a real-time vehicle state of the first vehicle through an automobile gear of the first vehicle. If the automobile gear of the first vehicle is in a parking gear state, the real-time vehicle state of the first vehicle is in an undriven state; if the vehicle gear of the first vehicle is the forward gear state, the real-time vehicle state of the first vehicle is the running state.

Further, S210 may specifically include: and under the condition that the real-time vehicle state is the driving state, acquiring real-time road data of a first real-time position where the first vehicle is located.

Specifically, in the case where the information processing apparatus on the first vehicle detects that the real-time vehicle state of the vehicle is the running state, the information processing apparatus on the first vehicle may acquire real-time road data of the first real-time position where the first vehicle is located, otherwise, in the case where the information processing apparatus on the first vehicle detects that the real-time vehicle state of the vehicle is the non-running state, the information processing apparatus on the first vehicle does not acquire real-time road data of the first real-time position where the first vehicle is located.

Therefore, the information processing device on the first vehicle can accurately detect the real-time vehicle state of the first vehicle through the real-time automobile gear of the first vehicle, only acquire the real-time road data of the first real-time position of the first vehicle in the driving process, improve the effectiveness of the detected first real-time position, reduce the data processing amount of the information processing device on the first vehicle when the first vehicle is in other states, and save the computing resources of the information processing device on the first vehicle.

In still another embodiment of the present disclosure, the information processing apparatus on the first vehicle may perform road scene analysis on the real-time road data in various ways to obtain at least one road scene to which the first real-time location belongs, as will be described below.

In some embodiments of the present disclosure, since the real-time road data may include multiple types of data and the types of data required for analyzing each preset scene are different, the information processing device on the first vehicle may extract, based on the types of different data required for different preset scenes, analysis data required for analyzing each preset scene from the real-time road data, then input, for each preset scene, the analysis data required for the preset scene into a pre-trained analysis model corresponding to the preset scene, to obtain a probability value of the analysis data output by the analysis model belonging to the preset scene, determine that the first real-time location belongs to the preset scene if the probability value is greater than or equal to a third probability value threshold, and use the preset scene as the road scene to which the first real-time location belongs. After the information processing device on the first vehicle analyzes all the preset scenes, all the road scenes to which the first real-time position belongs can be determined.

The third probability value threshold may be any probability value, for example, 0.5, 0.7, etc., set as needed to characterize that the analysis data belongs to the preset scene, which is not limited herein.

Further, for the analysis model corresponding to each preset scene, training can be performed by using the training sample corresponding to the scene, so as to obtain a pre-trained analysis model. And, for each training sample corresponding to each preset scene, the training sample may include a data sample corresponding to the preset scene and a labeling result corresponding to the data sample.

For example, when training an analysis model of a foggy scene, the data sample may include data of a type required for the foggy scene, such as humidity data and environmental image data, and the labeling result may be 1 when the data sample belongs to the foggy scene, and 0 when the data sample does not belong to the foggy scene.

Therefore, the information processing equipment on the first vehicle independently analyzes whether the first real-time position belongs to each preset scene or not by utilizing the pre-trained analysis model corresponding to each preset scene and the analysis data required by the preset scene, and the detection accuracy is improved.

In other embodiments of the present disclosure, S220 may specifically include: inputting real-time road data into a pre-trained road scene analysis model to obtain probability values of the first real-time positions output by the road scene analysis model belonging to all preset scenes; and taking the preset scene with the probability value larger than or equal to the preset first probability value threshold value as the road scene to which the first real-time position belongs.

Specifically, the information processing device on the first vehicle may also input all the acquired real-time road data into a pre-trained road scene analysis model, obtain probability values of the first real-time positions output by the road scene analysis model belonging to each preset scene, compare the probability values of the first real-time positions belonging to each preset scene with a first probability value threshold, and then use the preset scene to which the probability value of the comparison result is greater than or equal to the first probability value threshold as the road scene to which the first real-time position belongs.

The first probability value threshold may be any probability value, for example, 0.4, 0.5, 0.6, etc., set as required to characterize that the real-time road data belongs to any preset scene, which is not limited herein.

Further, the road scene analysis model can be trained by using a preset training sample, and a pre-trained road scene analysis model is obtained. And, each training sample may include the road data sample and a labeling result corresponding to the road data sample.

For example, if the preset road scene includes a sunny day, a snowy day, an icy day, a traffic control and a clear road, the road data sample may be all types of data that the actual vehicle can acquire through the sensor, the labeling result may include labeling values corresponding to the respective scenes, when the road data sample belongs to the snowy day scene and the traffic control scene, the labeling values of the snowy day scene and the traffic control scene are 1, the labeling values of the other scenes are 0, when the road data sample belongs to the sunny day scene and the clear road, the labeling values of the sunny day scene and the clear road are 1, and the labeling values of the other scenes are 0.

Therefore, the information processing equipment on the first vehicle can rapidly detect whether the first real-time position belongs to each preset scene or not by using a pre-trained road scene analysis model and all real-time road data, and the real-time performance of detection results is improved.

In the embodiment of the present disclosure, optionally, in order to improve accuracy of the generated abnormal road condition information, generating the abnormal road condition information corresponding to the first real-time location may specifically include: and carrying out fusion calculation on the probability value corresponding to the target road scene to obtain an abnormal probability value corresponding to the first real-time position.

Specifically, after the information processing device on the first vehicle determines at least one road scene to which the first real-time position belongs, detecting whether a target road scene belonging to an abnormal scene type exists in the at least one road scene, if the target road scene belonging to the abnormal scene type exists in the at least one road scene, acquiring probability values corresponding to the target road scenes, namely the probability values, which are analyzed by the model, of the first real-time position belonging to the target road scenes, and then performing fusion calculation on the probability values corresponding to the target road scenes to obtain the abnormal probability values corresponding to the first real-time position.

In some embodiments, the abnormal probability value corresponding to the first real-time location may be a fused probability value obtained by summing or weighting the probability values corresponding to the target road scene.

In other embodiments, the abnormal probability value corresponding to the first real-time location may be a fused probability value obtained by averaging the probability values corresponding to the target road scene.

In still other embodiments, the fusion calculation may be any other calculation method capable of fusing the probability values corresponding to the respective target road scenes according to needs, which is not limited herein.

Further, the generating the abnormal road condition information corresponding to the first real-time location may specifically include: if the abnormal probability value is greater than or equal to a preset second probability value threshold, generating abnormal road condition information corresponding to the first real-time position.

Specifically, the information processing device on the first vehicle may compare the abnormal probability value with the preset second probability value threshold, and when determining that the abnormal probability value is greater than or equal to the preset second probability value threshold, determine that the probability that the first real-time position belongs to all abnormal road conditions is greater than the probability that the first real-time position belongs to all normal road conditions, so that abnormal road condition information corresponding to the first real-time position may be generated, or no abnormal road condition information corresponding to the first real-time position is generated.

The second probability value threshold may be any probability value, for example, 0.5, 0.6, etc., set as needed to characterize that the first real-time location is abnormal to the road, which is not limited herein.

For example, in the driving process of the first vehicle, after the information processing device on the first vehicle obtains the real-time road data of the first real-time position, the information processing device may first perform road scene analysis of the first real-time position based on the real-time road data to obtain probability values of the first real-time position belonging to each preset scene, further determine at least one road scene to which the first real-time position belongs based on the probability values of the first real-time position belonging to each preset scene, then detect whether at least one road scene has a target road scene belonging to an abnormal scene type, if at least one road scene has a target road scene belonging to an abnormal scene type, then perform fusion calculation on the probability values corresponding to each target road scene to obtain an abnormal probability value corresponding to the first real-time position, further compare the abnormal probability value with a preset second probability value threshold, and if the abnormal probability value is greater than or equal to the preset second probability value threshold, generate abnormal road condition information corresponding to the first real-time position, otherwise, not generate the abnormal road condition information corresponding to the first real-time position.

Therefore, the information processing equipment on the first vehicle can perform fusion calculation on the probability values of all the target road scenes belonging to the abnormal scene types to obtain an abnormal probability value corresponding to the first real-time position, compare the abnormal probability value with a second probability value threshold to analyze whether the first real-time position is abnormal in the road, and if the abnormal probability value is greater than or equal to the preset second probability value threshold, determine that the first real-time position is abnormal in the road, then generate abnormal road condition information corresponding to the first real-time position, and further improve the accuracy of the generated abnormal road condition information.

In still another embodiment of the present disclosure, in order to explicitly inform the other vehicles of the actual location of the first real-time location and the specific scene of the abnormal road condition, S230 may specifically include: acquiring first position information corresponding to a first real-time position and an abnormal scene label corresponding to a target road scene; and packaging the first position information and the abnormal scene tag into abnormal road condition information.

Further, the first location information may be real-time geographic coordinates, or may be a road segment to which the real-time geographic coordinates belong, which is not limited herein.

When the first location information is the real-time geographic coordinates, the information processing device on the first vehicle may directly package the real-time geographic coordinates of the first real-time location and the abnormal scene tags corresponding to the respective target road scenes into abnormal road condition information.

When the first location information is a road segment to which the real-time geographic coordinate belongs, the information processing device on the first vehicle may determine the road segment to which the real-time geographic coordinate of the first real-time location belongs on the driving path of the first vehicle, and further package the road segment to which the real-time geographic coordinate belongs and the abnormal scene tag into abnormal road condition information.

Further, the link to which the real-time geographic coordinate belongs may be a link with the real-time geographic coordinate as a middle point, or may be a link with the real-time geographic coordinate as a start point or an end point. The length of the road section can be a small distance range, such as a distance range of 100m, 200 m.

Alternatively, the information processing apparatus on the first vehicle may acquire the first position information through the GPS module after determining that the target road scene belonging to the abnormal scene type exists in the at least one road scene; the information processing device on the first vehicle may also acquire the first location information through the GPS module while acquiring real-time road data of a first real-time location where the first vehicle is located; the information processing device on the first vehicle may further obtain the first position information through the GPS module in a period of time before any abnormal road condition information corresponding to the first real-time position is generated, which is not limited herein.

In the embodiment of the disclosure, the information processing device on the first vehicle packages the first position information corresponding to the first real-time position and the abnormal scene tag and generates the abnormal road condition information corresponding to the first real-time position, so that other vehicles receiving the abnormal road condition information can accurately know the specific position information of the first real-time position, further the specific position information determines whether the vehicle approaches the first real-time position, if so, the driver can be reminded of the abnormal road condition by determining a more suitable reminding position through the first position information, and meanwhile, the driver can timely learn the sudden road scene of the approach real-time position through the abnormal road scene tag, thereby further improving driving safety.

In an embodiment of the present disclosure, as shown in fig. 3, the present disclosure provides a flowchart of another information processing method. In the disclosed embodiment, the method is applied to a second vehicle, which may be, for example, the second vehicle 120 in fig. 1. Further, the method may be applied to an information processing device on a second vehicle, where the information processing device on the second vehicle may be a main controller, may be a driving-assisted SOC, or may be a power platform, which is not limited herein.

As shown in fig. 3, the information processing method includes the steps of:

s310, receiving abnormal road condition information sent by a server, wherein the abnormal road condition information corresponds to a first real-time position, the abnormal road condition information is generated when at least one road scene corresponding to the first real-time position has a target road scene belonging to an abnormal scene type, and the at least one road scene is obtained based on real-time road data analysis acquired by a first vehicle at the first real-time position.

In the embodiment of the disclosure, the information processing device on the second vehicle may monitor and receive the abnormal road condition information sent by the server in real time during the running process of the second vehicle.

Wherein the server may be, for example, server 130 in fig. 1.

Further, the information processing device on the second vehicle can communicate with the server through the internet of vehicles technology, and further monitor and receive abnormal road condition information sent by the server.

Further, the abnormal road condition information may correspond to the first real-time position, the abnormal road condition information may be generated when a target road scene belonging to the abnormal scene type exists in at least one road scene corresponding to the first real-time position, and the at least one road scene may be obtained based on real-time road data analysis acquired by the first vehicle in the first real-time position, which is described above and will not be repeated herein.

S320, responding to the abnormal road condition information and sending out an abnormal road condition prompt.

In the embodiment of the disclosure, after the information processing device on the second vehicle receives the abnormal road condition information sent by the server, the information processing device may respond to the abnormal road condition information and send an abnormal road condition reminder corresponding to the abnormal road condition information so as to remind the driver.

In the embodiment of the present disclosure, the abnormal road condition reminding manner may include, but is not limited to: at least one of voice prompt, graphic prompt, instrument panel flashing light, vibration equipment arranged at a special position of the steering wheel and the like.

Alternatively, the voice prompt may play audio through a voice play device on the vehicle to prompt the driver to monitor the road location with the abnormal road condition.

The graphic prompt may provide a display screen or dashboard of the vehicle on which corresponding icons or text are displayed to prompt the driver that the road location with the abnormal road condition is monitored.

The dashboard flashing light may indicate to the driver that a road location with an abnormal road condition is detected by flashing light on the dashboard.

The vibration device installed at a specific position of the steering wheel can vibrate to prompt the driver to monitor the road position with abnormal road conditions.

In the embodiment of the disclosure, the information processing device on the second vehicle may receive the abnormal road condition information sent by the server and send an abnormal road condition reminder corresponding to the abnormal road condition information to the driver, because the abnormal road condition information is generated when a target road scene belonging to the abnormal scene type exists in at least one road scene corresponding to the first real-time position, and the at least one road scene is obtained based on the real-time road data analysis of the first real-time position, the second vehicle can timely remind the driver of the abnormal road condition, and the driver can receive the advance reminder of the second vehicle, so that the driver can timely learn the sudden abnormal road condition to prepare in advance, and driving safety is improved.

In another embodiment of the present disclosure, in order to avoid that the server leaks information, the server may notify the relevant vehicle by widely distributing the information, and at this time, S310 may specifically include: and receiving broadcast information sent by the server, wherein the broadcast information comprises abnormal road condition information.

Specifically, the server may notify the second vehicle in the form of a broadcast, and the information processing apparatus on the second vehicle may receive the broadcast information transmitted by the server and obtain the abnormal road condition information in the broadcast information.

Therefore, the server does not need to send information to each vehicle in a directional manner, but notifies the related vehicles in a widely released information mode, so that the situation that the server fails to send information is avoided, each related vehicle can receive the information, and the driving safety of the related vehicle is further improved.

In still another embodiment of the present disclosure, before S320, the information processing method further includes: and detecting whether the second vehicle approaches the first real-time position in real time according to the abnormal road condition information.

Further, sending out an abnormal road condition reminder, including: and if the first real-time position of the second vehicle route is detected, sending out an abnormal road condition prompt.

In the disclosed embodiments, the second vehicle approach first real-time location may be understood as the first real-time location being on the travel route of the second vehicle.

Specifically, after the information processing device on the second vehicle receives the abnormal road condition information sent by the server and before sending an abnormal road condition reminder corresponding to the abnormal road condition information to the second vehicle, whether the second vehicle approaches the first real-time position or not can be detected in real time according to the abnormal road condition information, if the first real-time position of the second vehicle approaches is detected, the abnormal road condition reminder corresponding to the abnormal road condition information is sent out so as to remind a driver that the current driving route approaches the road position with the abnormal road condition, otherwise, the abnormal road condition reminder corresponding to the abnormal road condition information is not sent out.

In some embodiments of the present disclosure, the abnormal road condition information may include first location information corresponding to the first real-time location.

The real-time detection of whether the second vehicle approaches the first real-time position according to the abnormal road condition information may specifically include: detecting whether a planned path of the second vehicle approaches the first real-time location based on the first location information; if the first real-time position of the planned path route of the second vehicle is detected, determining that the first real-time position of the planned path route of the second vehicle is detected; and if the first real-time position of the planned path of the second vehicle is detected, determining that the first real-time position of the planned path of the second vehicle is detected.

Specifically, after the information processing device on the second vehicle receives the abnormal road condition information, first location information corresponding to a first real-time location in the abnormal road condition information is extracted, then the first location information is matched with a planned path which is planned in advance by the second vehicle, whether the planned path contains the first real-time location is judged, if the planned path contains the first real-time location, the first real-time location of the path of the second vehicle is determined to be detected, and if the planned path of the second vehicle does not contain the first real-time location, the first real-time location of the path of the second vehicle is determined to be detected.

Optionally, the first location information corresponding to the first real-time location may be a real-time geographic coordinate corresponding to the first real-time location, or may be a road segment to which the real-time geographic coordinate corresponding to the first real-time location belongs, which is not limited herein.

In some embodiments, in the case where the first location information is a real-time geographic coordinate of the first real-time location, the information processing device on the second vehicle may compare the geographic coordinates corresponding to each location on the planned path with the real-time geographic coordinates of the first real-time location, and if there is a geographic coordinate identical to the real-time geographic coordinates of the first real-time location, determine that the planned path includes the first real-time location, otherwise determine that the planned path does not include the first real-time location.

In other embodiments, in the case where the first location information is a road segment to which the real-time geographic coordinates belong, the information processing device on the second vehicle may compare the road segment to which each location on the planned path relates with the road segment to which the real-time geographic coordinates of the first real-time location belong, and if there is a road segment identical to the road segment to which the real-time geographic coordinates of the first real-time location belong, determine that the planned path includes the first real-time location, otherwise determine that the planned path does not include the first real-time location.

Therefore, the information processing equipment on the first vehicle can report the first position information corresponding to the first real-time position of the abnormal road condition to the server, and the server informs the information processing equipment on the second vehicle, so that the information processing equipment on the second vehicle can firstly determine whether the planned path of the information processing equipment relates to the first real-time position or not based on the first position information corresponding to the first real-time position, and further detect whether the second vehicle can approach the first real-time position or not, and the accuracy of a detection result is improved.

In still another embodiment of the present disclosure, the information processing method may include: and detecting whether the second vehicle reaches the road range corresponding to the first real-time position in real time according to the abnormal road condition information.

Further, the sending out the abnormal road condition reminder may specifically include: and if the second vehicle is detected to reach the road range corresponding to the first real-time position, sending out an abnormal road condition prompt.

In the embodiment of the disclosure, the range of the road corresponding to the second vehicle reaching the first real-time position may be understood as that the second vehicle is about to reach the first real-time position.

In some embodiments, after receiving the abnormal road condition information sent by the server and before sending the abnormal road condition reminder corresponding to the abnormal road condition information, the information processing device on the second vehicle may detect, in real time, whether the second vehicle arrives in the road range corresponding to the first real-time position according to the abnormal road condition information, and then send the abnormal road condition reminder corresponding to the abnormal road condition information when detecting that the second vehicle arrives in the road range corresponding to the first real-time position, so as to remind the driver that the current driving route is about to arrive at the road position with the abnormal road condition, otherwise, do not send the abnormal road condition reminder corresponding to the abnormal road condition information.

Therefore, the information processing equipment on the second vehicle can send out the abnormal road condition reminding corresponding to the abnormal road condition information when detecting that the second vehicle is about to reach the first real-time position, and the vigilance and driving safety of a driver are further improved.

In other embodiments, the information processing device on the second vehicle may further detect, in real time, whether the second vehicle arrives in the road range corresponding to the first real-time position according to the abnormal road condition information after detecting that the second vehicle approaches the first real-time position and before sending the abnormal road condition reminder corresponding to the abnormal road condition information, and then send the abnormal road condition reminder corresponding to the abnormal road condition information when detecting that the second vehicle arrives in the road range corresponding to the first real-time position, so as to remind the driver that the current driving route is about to arrive at the road position with the abnormal road condition, otherwise, the abnormal road condition reminder corresponding to the abnormal road condition information is not sent.

Therefore, the information processing equipment on the second vehicle can send out the abnormal road condition reminding corresponding to the abnormal road condition information when detecting that the second vehicle is about to reach the first real-time position, and the vigilance and driving safety of a driver are further improved. Meanwhile, the information processing equipment on the second vehicle can further detect whether the second vehicle is about to reach the first real-time position in real time only when detecting that the second vehicle approaches the first real-time position, so that the data processing capacity of the information processing equipment on the second vehicle is reduced.

In some embodiments of the present disclosure, the abnormal road condition information includes first location information corresponding to the first real-time location.

The real-time detection of whether the second vehicle arrives in the road range corresponding to the first real-time position according to the abnormal road condition information may specifically include: detecting whether the first real-time position is within a front preset range along the traveling direction of the second vehicle based on the first position information; if the first real-time position is detected to be in the front preset range, determining that the second vehicle is detected to reach the road range corresponding to the first real-time position; and if the first real-time position is detected not to be in the front preset range, determining that the second vehicle does not reach the road range corresponding to the first real-time position.

Specifically, the information processing apparatus on the second vehicle may acquire the current running position in real time, and acquire each position within a preset range in front of the running direction of the current running position, and then detect whether the first real-time position is within the preset range in front of the running direction of the second vehicle based on the first position information corresponding to the first position and the position information corresponding to each position, if the first real-time position is detected to be within the preset range in front, then determine that the second vehicle is detected to be about to arrive within the road range corresponding to the first real-time position, otherwise determine that the second vehicle is detected not to arrive within the road range corresponding to the first real-time position.

The preset range may be a distance range preset as needed for determining whether the vehicle is about to reach the specified position, for example, 0-100m, 0-200m, etc., which is not limited herein.

In some embodiments, in the case where the first position information is the real-time geographic coordinate of the first real-time position, the information processing device on the second vehicle may compare the geographic coordinate corresponding to each position in the preset range in front of the traveling direction of the second vehicle with the real-time geographic coordinate of the first real-time position, and if there is the same geographic coordinate as the real-time geographic coordinate of the first real-time position, determine that the second vehicle arrives in the road range corresponding to the first real-time position, and otherwise determine that the second vehicle does not arrive in the road range corresponding to the first real-time position.

In other embodiments, in the case where the first location information is a road segment to which the real-time geographic coordinates belong, the information processing device on the second vehicle may compare the road segment to which each location related to the front preset range along the traveling direction of the second vehicle belongs with the road segment to which the real-time geographic coordinates of the first real-time location belong, and if there is a road segment identical to the road segment to which the real-time geographic coordinates of the first real-time location belong, it is determined that the second vehicle arrives in the road range corresponding to the first real-time location, otherwise, it is determined that the second vehicle does not arrive in the road range corresponding to the first real-time location.

Thus, the information processing apparatus on the second vehicle can detect whether the second vehicle is about to reach the first real-time position by detecting whether the first real-time position exists in the specified road area in front of the second vehicle, so as to improve the accuracy of the detection result, provide the response time for the driver, and further improve the driving safety of the vehicle.

In still other embodiments of the present disclosure, the abnormal road condition information includes first location information corresponding to a first real-time location.

The real-time detection of whether the second vehicle arrives in the road range corresponding to the first real-time position according to the abnormal road condition information may specifically include: determining an abnormal road condition reminding position corresponding to the first real-time position based on first position information corresponding to the first real-time position, detecting whether a second vehicle arrives at the abnormal road condition reminding position, and determining that the second vehicle arrives in a road range corresponding to the first real-time position if the second vehicle arrives at the abnormal road condition reminding position; and if the second vehicle is detected to not reach the abnormal road condition reminding position, determining that the second vehicle is detected to not reach the road range corresponding to the first real-time position.

Specifically, the information processing device on the second vehicle may first determine the abnormal road condition reminding position corresponding to the first real-time position based on the first position information, then acquire the current driving position in real time, and detect in real time whether the geographic coordinates of the current driving position are the same as those of the abnormal road condition reminding position, if the geographic coordinates of the current driving position are detected to be the same as those of the abnormal road condition reminding position, then detect that the second vehicle arrives at the abnormal road condition reminding position, and determine that the second vehicle is about to arrive in the road range corresponding to the first real-time position, otherwise, determine that the second vehicle is not about to arrive in the road range corresponding to the first real-time position.

In some embodiments, in the case where the first location information is a real-time geographic coordinate of the first real-time location, the information processing apparatus on the second vehicle may determine, as the abnormal road condition reminding location, a location that differs from the real-time geographic coordinate by a preset distance along a direction opposite to a traveling direction of the second vehicle.

In other embodiments, in the case where the first location information is a road segment to which the real-time geographic coordinate belongs, the information processing apparatus on the second vehicle may determine, as the abnormal road condition reminding location, a location differing from a coordinate of an end point of the road segment to which the real-time geographic coordinate belongs, which is closer to the second vehicle, by a preset distance in a direction opposite to a traveling direction of the second vehicle.

Further, the preset distance may be a distance value preset according to needs for determining a position where the driver needs to be reminded of the abnormal road condition, for example, 100m, 200m, etc., which is not limited herein.

Therefore, the information processing device on the second vehicle can detect whether the second vehicle is about to reach the first real-time position by detecting whether the second vehicle is about to reach the abnormal road condition reminding position corresponding to the first real-time position, so that reaction time is provided for a driver, and driving safety of the vehicle is further improved.

In still another embodiment of the present disclosure, in the case where the abnormal road condition information sent by the server includes abnormal scene tags corresponding to respective target road scenes, the information processing apparatus on the second vehicle may further perform the road condition reminding and the information processing based on the abnormal scene tags corresponding to the target road scenes.

In some embodiments of the present disclosure, the information processing device on the second vehicle may generate a warning instruction based on the abnormal scene tag, and send the warning instruction to a warning device, such as a voice playing device, a display screen, an instrument panel, a vibration device, and the like, so that the warning device can warn the abnormal road scene related to the first real-time location based on the warning instruction.

For example, the voice playing device may play audio for prompting each of the upcoming road scenes, the display screen may display icons or characters corresponding to each of the upcoming road scenes, the dashboard may flash lights of colors corresponding to each of the upcoming road scenes in sequence, and the vibration device may vibrate in sequence according to vibration modes corresponding to each of the upcoming road scenes.

Further, in the case that the abnormal road condition information includes first position information corresponding to the first real-time position, the information processing device on the second vehicle may generate a reminding instruction based on the first position information corresponding to the first real-time position and the abnormal scene tag, and send the reminding instruction to the reminding device, such as the voice playing device, the display screen, and the like, so that the reminding device can remind the first real-time position to be passed and the abnormal road scene related to the first real-time position based on the reminding instruction.

For example, the voice playing device may play audio for prompting a road segment to which the first real-time position of the upcoming route belongs and each abnormal road scene to which the road segment relates, and the display screen may display an icon or text corresponding to the road segment to which the first real-time position of the upcoming route belongs and each abnormal road scene to which the road segment relates.

Therefore, the second vehicle can adopt a personalized mode to remind the driver of the abnormal road condition, and the driving experience of the driver is improved.

In other embodiments of the present disclosure, since the road condition is changed in real time, after the server receives and broadcasts the abnormal road condition information corresponding to the first real-time position, the information processing device on the second vehicle may cooperate with the server to detect the condition change condition of the first real-time position, for example, obtain new real-time road data of the first real-time position, perform road scene analysis on the first real-time position based on the new real-time road data, obtain a new at least one road scene to which the first real-time position belongs, then determine whether the new at least one road scene still has the target road scene based on the abnormal scene tag corresponding to the target road scene, if yes, no information is sent to the server, if not, the abnormal road condition clearing information corresponding to the first real-time position may be generated and sent to the server, and after receiving the abnormal road condition clearing information, the server may send the abnormal road condition clearing information to other vehicles not yet passing through the first real-time position, may receive the abnormal road condition clearing information, and cancel the abnormal road condition clearing information in response to the abnormal road condition clearing information, thereby further improving the driving experience of the driver.

Fig. 4 shows a block diagram of the information processing apparatus in one embodiment. The information processing apparatus in the embodiment of the present disclosure may be disposed on a first vehicle, for example, the first vehicle may be the first vehicle 110 in fig. 1. Further, the information processing apparatus may be provided in an information processing device on the first vehicle, and the information processing device on the first vehicle may be a main controller, or may be a driving-assisted SOC, or may be a power platform, which is not limited herein.

As shown in fig. 4, the information processing apparatus 400 may include a data acquisition module 410, a scene analysis module 420, an information generation module 430, and an information transmission module 440.

The data acquisition module 410 may be configured to acquire real-time road data for a first real-time location at which a first vehicle is located.

The scene analysis module 420 may be configured to perform a road scene analysis on the first real-time location based on the real-time road data, so as to obtain at least one road scene to which the first real-time location belongs.

The information generating module 430 may be configured to generate abnormal road condition information corresponding to the first real-time location if at least one road scene has a target road scene belonging to an abnormal scene type.

The information sending module 440 may be configured to send abnormal traffic information to the server, where the abnormal traffic information is configured to notify the second vehicle to send out an abnormal traffic alert.

In the embodiment of the disclosure, the real-time road data of the first real-time position can be acquired by the first vehicle at the first real-time position, and the road scene analysis is performed on the first real-time position based on the real-time road data, so that at least one road scene to which the real-time position belongs is obtained, and further when at least one target road scene with an abnormal scene type exists in the at least one road scene, corresponding abnormal road condition information is generated, and the abnormal road condition information is sent to the server, so that the server can inform other vehicles, namely, the second vehicle, to send abnormal road condition reminding corresponding to the abnormal road condition information, and further the other vehicles can timely acquire the abnormal road condition information and timely perform the abnormal road condition reminding on the driver, so that the driver can timely acquire sudden abnormal road condition, and driving safety is improved.

In some embodiments of the present disclosure, the information processing apparatus 400 may further include a state detection module that may be used to detect a real-time vehicle state of the first vehicle before acquiring real-time road data of the first real-time location where the first vehicle is located.

The data obtaining module 410 may be further configured to obtain real-time road data of a first real-time location where the first vehicle is located when the real-time vehicle state is a driving state.

In some embodiments of the present disclosure, the scene analysis module 420 may include a road scene detection unit and a road scene determination unit.

The road scene detection unit can be used for inputting real-time road data into a pre-trained road scene analysis model to obtain probability values of the first real-time position output by the road scene analysis model belonging to each preset scene.

The road scene determination unit may be configured to use a preset scene having a probability value greater than or equal to a preset first probability value threshold as a road scene to which the first real-time location belongs.

In some embodiments of the present disclosure, the information generation module 430 may include an abnormal probability value calculation unit and an abnormal road condition information generation unit.

The abnormal probability value calculating unit can be used for carrying out fusion calculation on the probability value corresponding to the target road scene to obtain the abnormal probability value corresponding to the first real-time position.

The abnormal road condition information generating unit may be configured to generate abnormal road condition information corresponding to the first real-time location if the abnormal probability value is greater than or equal to a preset second probability value threshold.

In some embodiments of the present disclosure, the information generation module 430 may include an information acquisition unit and an information packaging unit.

The information acquisition unit may be configured to acquire first location information corresponding to the first real-time location and an abnormal scene tag corresponding to the target road scene.

The information packaging unit is used for packaging the first position information and the abnormal scene tag into abnormal road condition information.

It should be noted that, the information processing apparatus 400 shown in fig. 4 may perform the steps in the method embodiment shown in fig. 2, and implement the processes and effects in the method embodiment shown in fig. 2, which are not described herein.

Fig. 5 shows a block diagram of the information processing apparatus in another embodiment. The information processing apparatus in the embodiment of the present disclosure may be disposed on a second vehicle, for example, the second vehicle may be the second vehicle 120 in fig. 1. Further, the information processing apparatus may be provided in an information processing device on a second vehicle, and the information processing device on the second vehicle may be a main controller, may be a driving-assisting SOC, or may be a power platform, which is not limited herein.

As shown in fig. 5, the information processing apparatus 500 may include an information receiving module 510 and a road condition reminding module 520.

The information receiving module 510 may be configured to receive abnormal road condition information sent by the server, where the abnormal road condition information corresponds to a first real-time location, and the abnormal road condition information is generated when a target road scene belonging to an abnormal scene type exists in at least one road scene corresponding to the first real-time location, where the at least one road scene is obtained by analyzing real-time road data acquired by a first vehicle in the first real-time location.

The traffic alert module 520 may be configured to send out an abnormal traffic alert in response to the abnormal traffic information.

In some embodiments of the present disclosure, the information processing apparatus 500 may further include a first location detection module, where the first location detection module may be specifically configured to detect, in real time, whether the second vehicle approaches the first real-time location according to the abnormal road condition information before sending the abnormal road condition reminder.

The road condition reminding module 520 may be specifically configured to send out an abnormal road condition reminder if the first real-time position of the second vehicle approach is detected.

The first position detection module may include a first detection unit, a first determination unit, and a second determination unit.

The first detection unit may be configured to detect whether a planned path of the second vehicle approaches the first real-time location based on the first location information.

The first determining unit may be configured to determine that the first real-time position of the planned route of the second vehicle is detected if the first real-time position of the planned route of the second vehicle is detected.

The second determining unit may be configured to determine that the first real-time position is not routed by the second vehicle if the first real-time position is detected not routed by the planned route of the second vehicle.

In some embodiments of the present disclosure, the information processing apparatus 500 may further include a second position detection module, where the second position detection module is specifically configured to detect, in real time, whether the second vehicle arrives in the road range corresponding to the first real-time position according to the abnormal road condition information before sending the abnormal road condition reminder.

The road condition reminding module 520 may be further specifically configured to send out an abnormal road condition reminder if it is detected that the second vehicle arrives in the road range corresponding to the first real-time position.

Wherein the second position detection module may include a second detection unit, a third determination unit, and a fourth determination unit.

The second detection unit may be configured to detect whether the first real-time position is within a front preset range in a traveling direction of the second vehicle based on the first position information.

The third determining unit may be configured to determine that the second vehicle is detected to arrive within a road range corresponding to the first real-time position if the first real-time position is detected to be within a front preset range.

The fourth determining unit may be configured to determine that the second vehicle is detected not to reach the road range corresponding to the first real-time position if the first real-time position is detected not to be within the front preset range.

Wherein the second position detection module may further include a position determination unit, a third detection unit, a fifth determination unit, and a sixth determination unit.

The position determining unit may be configured to determine an abnormal road condition reminding position corresponding to the first real-time position based on the first position information.

The third detection unit may be configured to detect whether the second vehicle reaches the abnormal road condition reminding position.

The fifth determining unit may be configured to determine that the second vehicle is detected to arrive in the road range corresponding to the first real-time position if the second vehicle is detected to arrive in the abnormal road condition reminding position.

The sixth determining unit may be configured to determine that the second vehicle does not reach the road range corresponding to the first real-time position if the second vehicle is detected not to reach the abnormal road condition reminding position.

In some embodiments of the present disclosure, the information receiving module 510 may be specifically configured to receive broadcast information sent by a server, where the broadcast information includes abnormal road condition information.

It should be noted that, the information processing apparatus 500 shown in fig. 5 may perform the steps in the method embodiment shown in fig. 3, and implement the processes and effects in the method embodiment shown in fig. 3, which are not described herein.

Fig. 6 shows a schematic structural diagram of an information processing apparatus provided by an embodiment of the present disclosure.

In the embodiment of the present disclosure, the information processing apparatus shown in fig. 6 may be a main controller of a vehicle, may be a driving-assisting SOC, or may be a power platform.

As shown in fig. 6, the information processing apparatus may include a processor 610 and a memory 620 storing computer program instructions.

In particular, the processor 610 may include a Central Processing Unit (CPU), or an application specific integrated circuit (Application Specific Integrated Circuit, ASIC), or may be configured to implement one or more integrated circuits of embodiments of the present application.

Memory 620 may include mass storage for information or instructions. By way of example, and not limitation, memory 620 may include a Hard Disk Drive (HDD), floppy Disk Drive, flash memory, optical Disk, magneto-optical Disk, magnetic tape, or universal serial bus (Universal Serial Bus, USB) Drive, or a combination of two or more of these. Memory 620 may include removable or non-removable (or fixed) media, where appropriate. The memory 620 may be internal or external to the integrated gateway device, where appropriate. In a particular embodiment, the memory 620 is a non-volatile solid state memory. In a particular embodiment, the Memory 620 includes Read-Only Memory (ROM). The ROM may be mask-programmed ROM, programmable ROM (PROM), erasable PROM (Electrical Programmable ROM, EPROM), electrically erasable PROM (Electrically Erasable Programmable ROM, EEPROM), electrically rewritable ROM (Electrically Alterable ROM, EAROM), or flash memory, or a combination of two or more of these, where appropriate.

The processor 610 reads and executes the computer program instructions stored in the memory 620 to perform the steps of the information processing method provided by the embodiments of the present disclosure.

In one example, the information processing device may also include a transceiver 630 and a bus 640. In which, as shown in fig. 6, processor 610, memory 620, and transceiver 630 are connected and communicate with each other via bus 640.

Bus 640 includes hardware, software, or both. By way of example, and not limitation, the buses may include an accelerated graphics port (Accelerated Graphics Port, AGP) or other graphics BUS, an enhanced industry standard architecture (Extended Industry Standard Architecture, EISA) BUS, a Front Side BUS (FSB), a HyperTransport (HT) interconnect, an industry standard architecture (Industrial Standard Architecture, ISA) BUS, an InfiniBand interconnect, a Low Pin Count (LPC) BUS, a memory BUS, a micro channel architecture (Micro Channel Architecture, MCa) BUS, a peripheral control interconnect (Peripheral Component Interconnect, PCI) BUS, a PCI-Express (PCI-X) BUS, a serial advanced technology attachment (Serial Advanced Technology Attachment, SATA) BUS, a video electronics standards association local (Video Electronics Standards Association Local Bus, VLB) BUS, or other suitable BUS, or a combination of two or more of these. Bus 640 may include one or more buses, where appropriate.

The present disclosure also provides a computer-readable storage medium, which may store a computer program that, when executed by a processor, causes the processor to implement the information processing method provided by the embodiments of the present disclosure.

The storage medium described above may, for example, include a memory 620 of computer program instructions executable by the processor 610 of the information processing apparatus to perform the information processing method provided by the embodiments of the present disclosure. Alternatively, the storage medium may be a non-transitory computer readable storage medium, for example, a ROM, a random access memory (Random Access Memory, RAM), a Compact Disc ROM (CD-ROM), a magnetic tape, a floppy disk, an optical data storage device, and the like.

It should be noted that in this document, relational terms such as "first" and "second" and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, 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.

The foregoing is merely a specific embodiment of the disclosure to enable one skilled in the art to understand or practice the disclosure. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the disclosure. Thus, the present disclosure is not intended to be limited to the embodiments shown and described herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. An information processing method applied to a first vehicle, characterized by comprising:

acquiring real-time road data of a first real-time position where the first vehicle is located;

if a target road scene belonging to the abnormal scene type exists in the at least one road scene, generating abnormal road condition information corresponding to the first real-time position;

and sending the abnormal road condition information to a server, wherein the abnormal road condition information is used for notifying a second vehicle to send out an abnormal road condition prompt.

2. The method of claim 1, wherein prior to the acquiring real-time road data for the first real-time location at which the first vehicle is located, the method further comprises:

detecting a real-time vehicle state of the first vehicle;

the acquiring real-time road data of a first real-time position where the first vehicle is located includes:

and under the condition that the real-time vehicle state is a running state, acquiring real-time road data of the first real-time position where the first vehicle is located.

3. The method according to claim 1, wherein the performing a road scene analysis on the first real-time location based on the real-time road data to obtain at least one road scene to which the first real-time location belongs includes:

inputting the real-time road data into a pre-trained road scene analysis model to obtain probability values of all preset scenes of the first real-time position output by the road scene analysis model;

and taking the preset scene with the probability value larger than or equal to a preset first probability value threshold as the road scene to which the first real-time position belongs.

4. The method of claim 3, wherein the generating the abnormal road condition information corresponding to the first real-time location comprises:

Carrying out fusion calculation on the probability value corresponding to the target road scene to obtain an abnormal probability value corresponding to the first real-time position;

and if the abnormal probability value is greater than or equal to a preset second probability value threshold, generating abnormal road condition information corresponding to the first real-time position.

5. The method according to any one of claims 1 to 4, wherein the generating the abnormal road condition information corresponding to the first real-time location includes:

acquiring first position information corresponding to the first real-time position and an abnormal scene tag corresponding to the target road scene;

and packaging the first position information and the abnormal scene tag into the abnormal road condition information.

6. An information processing method applied to a second vehicle, characterized by comprising:

the method comprises the steps of receiving abnormal road condition information sent by a server, wherein the abnormal road condition information corresponds to a first real-time position, the abnormal road condition information is generated when at least one road scene corresponding to the first real-time position has a target road scene belonging to an abnormal scene type, and the at least one road scene is obtained based on real-time road data analysis acquired by a first vehicle at the first real-time position;

7. The method of claim 6, wherein prior to the issuing the abnormal road condition reminder, the method further comprises:

detecting whether the second vehicle approaches the first real-time position in real time according to the abnormal road condition information;

wherein, send out unusual road conditions and remind, include:

and if the first real-time position of the second vehicle approach is detected, sending out an abnormal road condition prompt.

8. The method of claim 7, wherein the abnormal road condition information includes first location information corresponding to the first real-time location;

wherein the detecting whether the second vehicle approaches the first real-time position in real time according to the abnormal road condition information includes:

detecting whether a planned path of the second vehicle approaches the first real-time location based on the first location information;

if the first real-time position of the planned path route of the second vehicle is detected, determining that the first real-time position of the path route of the second vehicle is detected;

and if the first real-time position is detected that the planned path of the second vehicle is not routed, determining that the first real-time position is detected that the second vehicle is not routed.

9. The method of claim 6 or 7, wherein prior to the issuing of the abnormal road condition reminder, the method further comprises:

detecting whether the second vehicle arrives in a road range corresponding to the first real-time position in real time according to the abnormal road condition information;

wherein, send out unusual road conditions and remind, include:

and if the second vehicle is detected to reach the road range corresponding to the first real-time position, sending out an abnormal road condition prompt.

10. The method of claim 9, wherein the abnormal road condition information includes first location information corresponding to the first real-time location;

the real-time detection of whether the second vehicle arrives in the road range corresponding to the first real-time position according to the abnormal road condition information includes:

detecting whether the first real-time position is within a front preset range along a traveling direction of the second vehicle based on the first position information;

if the detected first real-time position is within the front preset range, determining that the second vehicle is detected to reach the road range corresponding to the first real-time position;

and if the detected first real-time position is not in the front preset range, determining that the detected second vehicle does not reach the road range corresponding to the first real-time position.

11. The method of claim 9, wherein the abnormal road condition information includes first location information corresponding to the first real-time location;

determining an abnormal road condition reminding position corresponding to the first real-time position based on the first position information;

detecting whether the second vehicle reaches the abnormal road condition reminding position;

if the second vehicle is detected to reach the abnormal road condition reminding position, determining that the second vehicle is detected to reach a road range corresponding to the first real-time position;

and if the second vehicle is detected not to reach the abnormal road condition reminding position, determining that the second vehicle is detected not to reach the road range corresponding to the first real-time position.

12. The method of claim 6, wherein the receiving abnormal traffic information transmitted by the server comprises:

and receiving broadcast information sent by the server, wherein the broadcast information comprises the abnormal road condition information.

13. An information processing apparatus applied to a first vehicle, characterized by comprising:

The data acquisition module is used for acquiring real-time road data of a first real-time position where the first vehicle is located;

the information generation module is used for generating abnormal road condition information corresponding to the first real-time position if a target road scene belonging to an abnormal scene type exists in the at least one road scene;

the information sending module is used for sending the abnormal road condition information to the server, and the abnormal road condition information is used for informing the second vehicle to send out abnormal road condition reminding.

14. An information processing apparatus applied to a second vehicle, characterized by comprising:

the information receiving module is used for receiving abnormal road condition information sent by the server, the abnormal road condition information corresponds to a first real-time position, the abnormal road condition information is generated when at least one road scene corresponding to the first real-time position exists a target road scene belonging to an abnormal scene type, and the at least one road scene is obtained based on real-time road data analysis acquired by a first vehicle at the first real-time position;

15. An information processing apparatus, characterized by comprising:

a processor;

a memory for storing executable instructions;

wherein the processor is configured to read the executable instructions from the memory and execute the executable instructions to implement the information processing method of any one of the preceding claims 1-5 or the information processing method of any one of the preceding claims 6-12.

16. A computer-readable storage medium, characterized in that the storage medium stores a computer program which, when executed by a processor, causes the processor to implement the information processing method according to any one of the preceding claims 1-5 or the information processing method according to any one of the preceding claims 6-12.