CN114612876A - Method for acquiring traffic incident and navigation terminal - Google Patents

Abstract

The application discloses a method for acquiring a traffic incident and a navigation terminal. Wherein, the method comprises the following steps: acquiring a first image of a vehicle driving peripheral area; identifying the first image, and determining whether a traffic event occurs in a driving peripheral area of the vehicle, wherein the traffic event is an event influencing the passing of the vehicle; in the case that the first traffic event occurs in the vehicle driving peripheral area, acquiring event information of the first traffic event, wherein the event information comprises at least one of the following: a type of the first traffic event, lane information where the first traffic event occurred. The method and the device solve the technical problems of low accuracy and high cost of acquiring the traffic events in the related technology.

Description

Method for acquiring traffic incident and navigation terminal

Technical Field

The application relates to the field of intelligent traffic, in particular to a method for acquiring a traffic incident and a navigation terminal.

Background

With the increase of the travel demand of users, vehicles on roads are continuously increased, and the travel experience of people is more and more influenced by the problems of traffic jam and traffic accidents. In order to improve the travel efficiency and the travel safety, it is necessary to provide the user with traffic event information with high accuracy, for example, traffic event information such as road congestion and vehicle failure is provided to the user.

There are several ways to capture traffic events today, but there are many drawbacks. For example, the traffic events occurring on the road, such as road congestion, traffic accidents and the like, can be obtained by performing big data analysis on the data (data such as speed, position and the like) returned by the floating collection vehicle, but the reason why the congestion is caused by road construction, traffic accidents, traffic control and the like cannot be known through the data, but when the floating collection vehicle is normally parked, the congestion of the road is easily misjudged based on the data returned by the floating collection vehicle; or, the traffic incident occurring on the road is obtained by the way of active reporting by the user, but if the user is a driving user, the reporting operation is carried out during driving, so that the driving safety risk exists; or, a detector or a video device is erected on the road to obtain the traffic incident occurring on the road, but the method is generally deployed on an important road section due to the cost problem, and has the problem of insufficient coverage; or, the traffic events are acquired through public channels such as a traffic station and social media, but the method has the problems of poor timeliness and incomplete information.

Therefore, how to efficiently, quickly, inexpensively and accurately acquire traffic events is a problem that needs to be continuously optimized and solved by those skilled in the art.

Disclosure of Invention

The embodiment of the application provides a method for acquiring a traffic incident and a navigation terminal, so as to at least solve the technical problems of low accuracy and high cost of acquiring the traffic incident in the related art.

According to an aspect of an embodiment of the present application, there is provided a method for acquiring a traffic event, including: acquiring a first image of a vehicle driving peripheral area; identifying the first image, and determining whether a traffic event occurs in a driving peripheral area of the vehicle, wherein the traffic event is an event influencing the passing of the vehicle; in the case that the first traffic event occurs in the vehicle driving peripheral area, acquiring event information of the first traffic event, wherein the event information comprises at least one of the following: a type of the first traffic event, lane information where the first traffic event occurred.

According to another aspect of the embodiments of the present application, there is also provided a method for acquiring a traffic event, including: displaying a first image of a vehicle driving peripheral area on an interactive interface of the vehicle; identifying a first image, and marking an event image of a first traffic event occurring in a peripheral area where the vehicle runs on an interactive interface, wherein the first traffic event is an event influencing vehicle passing; displaying event information for the first traffic event on the interactive interface, the event information including at least one of: a type of the first traffic event, lane information where the first traffic event occurred.

According to another aspect of the embodiments of the present application, there is also provided a method for acquiring a traffic event, including: if a first traffic event is detected to occur in the area around the vehicle, capturing a first image of the area around the vehicle, wherein the first traffic event is an event influencing the vehicle to pass; identifying a first image, and acquiring an event image of a first traffic event; obtaining event information of a first traffic event, the event information including at least one of: type of traffic event, lane information where the first traffic event occurred.

According to another aspect of the embodiments of the present application, there is also provided a navigation terminal, including: the vision acquisition module is used for acquiring a first image of a vehicle driving peripheral area; the event identification module is used for identifying the first image and determining whether a traffic event occurs in the area around the vehicle, wherein the traffic event is an event influencing the vehicle to pass; the lane positioning module is used for acquiring lane information of a first traffic event under the condition that the first traffic event occurs in the driving peripheral area of the vehicle; the data management module is used for acquiring event information of the first traffic event, and the event information comprises at least one of the following: a type of the first traffic event, lane information where the first traffic event occurred.

According to another aspect of the embodiments of the present application, there is also provided a computer-readable storage medium, which includes a stored program, wherein when the program runs, the apparatus on which the computer-readable storage medium is located is controlled to execute the above-mentioned method for acquiring a traffic event.

According to another aspect of the embodiments of the present application, there is also provided a mobile terminal, including a memory and a processor, where the processor is configured to execute a program stored in the memory, where the program executes the method for acquiring a traffic event.

According to another aspect of the embodiments of the present application, there is also provided a computer program product including computer program instructions, the computer program instructions causing a computer to execute the above method for acquiring a traffic event.

In the embodiment of the application, after the first image of the vehicle driving peripheral area is acquired, the first image can be identified, whether a traffic event occurs in the vehicle driving peripheral area is determined, and under the condition that the first traffic event occurs in the vehicle driving peripheral area, lane information of the first traffic event is further determined, so that event information of the first traffic event is obtained, and the purpose of acquiring the traffic event is achieved. It is easy to notice that the images around the vehicle can be identified in real time to determine whether a traffic incident occurs, and the related information of the traffic incident is automatically returned to the server without manual return under the condition that the traffic incident occurs, so that the technical effects of increasing the traffic incident acquisition speed and improving the accuracy and timeliness of the traffic incident are achieved, and the technical problems of low accuracy and high cost of acquiring the traffic incident in the related technology are solved.

Drawings

The accompanying drawings, which are included to provide a further understanding of the application and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the application and together with the description serve to explain the application and not to limit the application. In the drawings:

fig. 1 is a block diagram of a hardware structure of a computer terminal (or mobile device) for implementing a method for acquiring a traffic event according to an embodiment of the present application;

fig. 2 is a schematic diagram of a computer terminal as a transmitting end according to an embodiment of the present application;

FIG. 3 is a flow chart of a first method of obtaining a traffic event according to an embodiment of the present application;

FIG. 4 is an interactive schematic diagram of an alternative method of acquiring a traffic event according to an embodiment of the present application;

FIG. 5 is an interactive schematic diagram of an alternative method of acquiring traffic events according to embodiments of the present application;

FIG. 6 is a schematic diagram of a first apparatus for obtaining traffic events according to an embodiment of the present application;

FIG. 7 is a flow chart of a second method of obtaining a traffic event according to an embodiment of the present application;

FIG. 8 is a schematic diagram of a second apparatus for obtaining traffic events according to an embodiment of the present application;

FIG. 9 is a flow chart of a third method of obtaining a traffic event according to an embodiment of the present application;

FIG. 10 is a schematic diagram of a third apparatus for obtaining traffic events according to an embodiment of the present application;

FIG. 11 is a schematic view of a navigation terminal according to an embodiment of the present application;

FIG. 12 is a schematic diagram of an alternative navigation terminal according to an embodiment of the present application;

FIG. 13 is a schematic diagram of another alternative lane-level locating module in accordance with an embodiment of the present application; and

fig. 14 is a block diagram of a computer terminal according to an embodiment of the present application.

Detailed Description

In order to make the technical solutions better understood by those skilled in the art, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only partial embodiments of the present application, but not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.

It should be noted that the terms "first," "second," and the like in the description and claims of this application and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the application described herein are capable of operation in sequences other than those illustrated or described herein. Moreover, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.

First, some terms or terms appearing in the description of the embodiments of the present application are applicable to the following explanations:

traffic events: the event can be an event which occurs on the road in real time and has influence on the road traffic, and comprises road construction, road closure, traffic accidents and the like.

Lane positioning: the method may refer to acquiring an image frame through a camera, and determining which lane the vehicle runs in by identifying lane separation lines.

Lane data: it may refer to lane level data, which represents information such as the number of lanes currently available, and the line type (white solid line, white dotted line, yellow solid line, etc.) of each lane separation line.

Example 1

There is also provided, in accordance with an embodiment of the present application, a method of acquiring traffic events, it being noted that the steps illustrated in the flowchart of the figure may be carried out in a computer system, such as a set of computer-executable instructions, and that, although a logical order is illustrated in the flowchart, in some cases, the steps illustrated or described may be carried out in an order different than here.

The method provided by the embodiment of the application can be executed in a mobile terminal, a computer terminal or a similar operation device. Fig. 1 shows a hardware configuration block diagram of a computer terminal (or mobile device) for implementing the method of acquiring a traffic event. As shown in fig. 1, the computer terminal 10 (or mobile device 10) may include one or more (shown as 102a, 102b, … …, 102 n) processors 102 (the processors 102 may include, but are not limited to, a processing device such as a microprocessor MCU or a programmable logic device FPGA, etc.), a memory 104 for storing data, and a transmission device 106 for communication functions. Besides, the method can also comprise the following steps: a display, an input/output interface (I/O interface), a Universal Serial BUS (USB) port (which may be included as one of the ports of the BUS), a network interface, a power source, and/or a camera. It will be understood by those skilled in the art that the structure shown in fig. 1 is only an illustration and is not intended to limit the structure of the electronic device. For example, the computer terminal 10 may also include more or fewer components than shown in FIG. 1, or have a different configuration than shown in FIG. 1.

It should be noted that the one or more processors 102 and/or other data processing circuitry described above may be referred to generally herein as "data processing circuitry". The data processing circuitry may be embodied in whole or in part in software, hardware, firmware, or any combination thereof. Further, the data processing circuit may be a single stand-alone processing module, or incorporated in whole or in part into any of the other elements in the computer terminal 10 (or mobile device). As referred to in the embodiments of the application, the data processing circuit acts as a processor control (e.g. selection of a variable resistance termination path connected to the interface).

The memory 104 may be used to store software programs and modules of application software, such as program instructions/data storage devices corresponding to the method for acquiring a traffic event in the embodiment of the present application, and the processor 102 executes various functional applications and data processing by running the software programs and modules stored in the memory 104, so as to implement the method for acquiring a traffic event. The memory 104 may include high speed random access memory, and may also include non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some examples, the memory 104 may further include memory located remotely from the processor 102, which may be connected to the computer terminal 10 via a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.

The transmission device 106 is used for receiving or transmitting data via a network. Specific examples of the network described above may include a wireless network provided by a communication provider of the computer terminal 10. In one example, the transmission device 106 includes a Network adapter (NIC) that can be connected to other Network devices through a base station to communicate with the internet. In one example, the transmission device 106 can be a Radio Frequency (RF) module, which is used for communicating with the internet in a wireless manner.

The display may be, for example, a touch screen type Liquid Crystal Display (LCD) that may enable a user to interact with the user interface of the computer terminal 10 (or mobile device).

Fig. 1 shows a block diagram of a hardware structure, which may be taken as an exemplary block diagram of not only the computer terminal 10 (or the mobile device) described above, but also an exemplary block diagram of the server described above, and in an alternative embodiment, fig. 2 shows an embodiment in which the computer terminal 10 (or the mobile device) shown in fig. 1 is taken as a block diagram, and the embodiment uses the computer terminal 10 (or the mobile device) described above as a sending end. As shown in fig. 2, the computer terminal 10 (or mobile device) may be connected or electronically connected to one or more servers 20 via a data network connection. The data network connection may be a local area network connection, a wide area network connection, an internet connection, or other type of data network connection. The server may provide network-based user services, such as traffic navigation, for the computer terminal.

Under the above operating environment, the present application provides a method for acquiring a traffic event as shown in fig. 3. Fig. 3 is a flow chart of a first method of acquiring a traffic event according to an embodiment of the present application. As shown in fig. 3, the method comprises the steps of:

in step S302, a first image of a vehicle driving peripheral area is acquired.

The driving peripheral area of the vehicle in the above steps may be a certain range around the vehicle, and the range may cover the whole road, so that a traffic event occurring at any position on the whole road may be recognized.

In an alternative embodiment, a navigation terminal including a visual sensor (e.g., a camera) may be installed on the vehicle, and the navigation terminal may acquire an image of the surroundings of the vehicle in real time, that is, obtain the first image.

And step S304, identifying the first image, and determining whether a traffic event occurs in the area around the vehicle, wherein the traffic event is an event influencing the vehicle to pass through.

In an optional embodiment, after the navigation terminal acquires the image of the periphery of the vehicle in real time, the navigation terminal may analyze the image acquired in real time by using a visual recognition algorithm in real time, recognize whether the image includes the features of the traffic event, determine that the traffic event occurs around the vehicle if the image includes the features of any type of traffic event, and determine that the traffic event does not occur around the vehicle if the image does not include the features of any type of traffic event.

Step S306, under the condition that the first traffic event happens in the vehicle driving surrounding area, obtaining the event information of the first traffic event, wherein the event information comprises at least one of the following items: a type of the first traffic event, lane information where the first traffic event occurred.

The first traffic event in the above steps may be a traffic event occurring in a surrounding area where the vehicle travels, and may specifically be any one of different types of traffic events such as road construction, road closure, traffic accident, and the like. The lane information may refer to lane information of the first traffic event occurrence location in the road, that is, which lanes in the road the first traffic event occurrence location occupies, but is not limited thereto.

Further, in the case where it is determined that the first traffic event has occurred around the vehicle, it may be further determined in which lane the traffic event occurred by recognizing the lane separation line, that is, determining the lane in which the first traffic event occurred, by recognizing the image. For example, the left side of the position where the traffic event occurs in the image is a white dotted line, the right side of the position where the traffic event occurs is a yellow solid line, the position where the traffic event occurs is also covered by the white dotted line, and the road has 4 lanes, and lane separation lines are respectively "yellow solid line, white dotted line, and yellow solid line" from left to right, so that it can be determined that the lane where the traffic event occurs is the 3 rd lane and the 4 th lane from left.

Optionally, in order to provide more information about the first traffic event, the event information may include more than: the type of the first traffic event, the lane where the first traffic event occurs, may further include: latitude and longitude position information of the first traffic event and the first image occur. The latitude and longitude location information may be determined based on the location information of the vehicle and a relative location relationship between a lane where the first traffic event occurs and a current driving lane of the vehicle, where the location information may be determined by a satellite positioning module, for example, but not limited thereto, by a beidou navigation system.

In an optional embodiment, the navigation terminal can acquire surrounding images in real time in the driving process of the vehicle, identify whether a traffic event occurs around the vehicle, and automatically send event information such as the type of the first traffic event and the identified lane information of the first traffic event to the server if the first traffic event occurs around the vehicle, without manual uploading by a user.

According to the scheme provided by the embodiment of the application, after the first image of the vehicle driving peripheral area is acquired, the first image can be identified, whether a traffic event occurs in the vehicle driving peripheral area or not and the lane where the first traffic event occurs are determined, under the condition that the first traffic event occurs in the vehicle driving peripheral area, the lane information where the first traffic event occurs is further determined, the event information of the first traffic event is obtained, and the event information is sent to the server, so that the purpose of acquiring the traffic event is achieved. It is easy to notice that the images around the vehicle can be identified in real time to determine whether a traffic incident occurs, and the related information of the traffic incident is automatically returned to the server without manual return under the condition that the traffic incident occurs, so that the technical effects of increasing the traffic incident acquisition speed and improving the accuracy and timeliness of the traffic incident are achieved, and the technical problems of low accuracy and high cost of acquiring the traffic incident in the related technology are solved.

In the above embodiment of the present application, in step S306, the acquiring lane information of the first traffic event includes: recognizing the first image to obtain lane separation line data of a road where the vehicle is located; acquiring lane separation line standard data of a lane of a road where the vehicle is located based on the positioning position information of the vehicle; and comparing the lane separation lines with the lane separation line standard data to determine lane information of the first traffic event.

The lane dividing line standard data in the above step may be information such as the number of lanes included in the lane level data and the line type of each lane dividing line.

In an alternative embodiment, the lane type of the lane segment covered by the first traffic accident may be determined directly by visual recognition through the lane-level positioning principle, and the lane where the first traffic accident occurs may be determined by comparing with the lane type of each lane segment in the lane-level data.

In the above embodiment of the present application, in step S306, the acquiring lane information of the first traffic event includes: acquiring lane information of a current driving lane of a vehicle; identifying a first image to acquire a relative position relation between a lane where a first traffic event occurs and a current driving lane of the vehicle; and determining lane information of the first traffic event based on the lane information of the current driving lane of the vehicle and the relative position relation.

In an alternative embodiment, the lane information of the current driving lane of the vehicle can be determined directly through visual recognition through a lane-level positioning principle, or the lane information of the current driving lane of the vehicle can be determined through positioning of the vehicle by a satellite positioning module. Meanwhile, the relative position relationship between the lane where the first traffic event occurs and the current driving lane of the vehicle can be determined by recognizing the first image. Finally, the lane information in which the first traffic event occurs may be determined based on the lane information of the lane in which the vehicle is currently traveling and the relative positional relationship of the lane in which the first traffic event occurs and the lane in which the vehicle is currently traveling. For example, by identifying that the lane in which the vehicle is currently traveling is the 3 rd lane on the left and that the lane in which the first traffic event occurred is located on the right of the lane in which the vehicle is currently traveling, it may be determined that the lane in which the first traffic event occurred is the 4 th lane.

It should be noted that, in the same way as the way of directly acquiring the lane information of the first traffic event, the lane information of the current driving lane of the vehicle may be determined by directly determining the line type of the lane dividing line in front of the vehicle through visual recognition by using the lane-level positioning principle, and by comparing the line type with the line type of each lane dividing line in the lane-level data, the current driving lane of the vehicle may be determined. For example, a road in the lane-level data has 4 lanes, and lane separation lines thereof are "yellow solid line, white dotted line, and yellow solid line" from left to right, respectively, and when it is determined by visual recognition that the lane lines in front of the vehicle from left to right are "white dotted line, and yellow solid line", respectively, it can be determined that the vehicle is on the 3 rd lane on the left side

In the above embodiment of the present application, the step S304 of recognizing the first image and determining whether a traffic event occurs in the vehicle driving peripheral area includes: identifying a first image, and determining a target object contained in the first image; extracting the characteristics of the target object to obtain the characteristic information of the target object; and determining whether a traffic event occurs in the vehicle driving peripheral area based on the characteristic information of the target object.

The target object in the above steps may be an object capable of determining a traffic event, for example, for an event such as road construction, conduction closure, etc., the target object may be a related signboard; for a traffic accident, the target object may be a traffic accident sign, a faulty vehicle, a rescue vehicle, etc., but is not limited thereto, and the target object may be determined according to actual needs.

In an alternative embodiment, the sequentially received images may be analyzed in real time to determine a target object included in the images, and feature information of the target object may be extracted, and further, a model obtained through machine learning in advance may be used to input the feature information of the target object into the model, so as to obtain whether a traffic event occurs and a specific type of the occurring first traffic event.

In another optional embodiment, the image acquired in real time may be analyzed in real time, a target object included in the image is determined, the characteristic information of the target object is extracted, the extracted characteristic information of the target object is further compared with the characteristic information extracted from different types of traffic events in advance, if the characteristic information of the target object is different from the characteristic information extracted from different types of traffic events, it is determined that no traffic event occurs, and if the characteristic information of the target object is the same as the characteristic information extracted from different types of traffic events, it is determined that a corresponding traffic event occurs.

In the above-described embodiments of the present application, determining whether a traffic event occurs in a driving peripheral area of the vehicle based on the feature information of the target object includes: comparing the characteristic information of the target object with the preset characteristic information of the traffic incident; if the matching of the characteristic information of the target object and the preset characteristic information fails, determining that no traffic incident occurs in the area around the vehicle running; and if the characteristic information of the target object is successfully matched with the characteristic information of any one traffic event, determining that a first traffic event of the same type as the matched traffic event occurs in the vehicle driving peripheral area.

The preset feature information in the above steps may be feature information of a target object extracted from an image for different types of traffic events.

In an optional embodiment, after extracting feature information of a target object included in an image, the extracted feature information may be compared with preset feature information corresponding to different traffic events, whether similarity between the extracted feature information and the different preset feature information is greater than a preset value or not is judged, and if the similarity between the extracted feature information and a certain preset feature information is greater than the preset value, it is determined that the extracted feature information and the preset feature information are successfully matched, so that it is determined that the traffic event corresponding to the preset feature information occurs in a vehicle driving peripheral area; and if the similarity between the extracted characteristic information and all the preset characteristic information is smaller than a preset value, determining that the extracted characteristic information and the preset characteristic information are unsuccessfully matched, and determining that no traffic incident occurs in the area around the vehicle running.

For example, the extracted feature information is compared with feature information of road construction, feature information of road closure, and feature information of a traffic accident, and if the extracted feature information is successfully matched with the feature information of road closure, it may be determined that the road closure occurs in the area around the vehicle, that is, the type of the first traffic event is road closure.

In the above embodiment of the present application, after the step S306, acquiring the event information of the first traffic event, the method further includes: and sending the event information to a server, wherein the server is used for comparing the event information of the first traffic event with other event information, judging whether the first traffic event is a newly generated traffic event, and synchronizing the event information of the first traffic event to other navigation terminals if the first traffic event is the newly generated traffic event.

The server in the above steps may be a server providing traffic navigation service for users, and may be connected to all navigation terminals through the internet, receive the relevant information of the traffic incident reported by the navigation terminals, and issue the relevant information of the traffic incident to each navigation terminal.

The other event information in the above steps may be event information from other sources, for example, event information obtained by a public channel such as a traffic station, a microblog, and the like.

In an optional embodiment, in order to avoid that different users return the same traffic event to cause the server to repeatedly send the traffic event information, after the server receives the traffic event information each time, the server may compare the event information returned by the navigation terminal with event information from other sources to perform deduplication processing, that is, if the event information is different from other event information, the traffic event is determined to be a new traffic event; if the information is the same as other event information, the traffic event is determined to be repeatedly returned, and no processing is performed. When the first traffic event returned by the navigation terminal is judged to be a new traffic event, the first traffic event can be pushed to other navigation terminal users.

In the above embodiment of the present application, after receiving the event information of the second traffic event synchronized by the server, the method further includes: obtaining a distance between the vehicle and a location where the second traffic event occurs; under the condition that the distance is within a preset range, acquiring a second image of a vehicle driving peripheral area; identifying the second image, and judging whether a traffic event occurs in the area around the vehicle to obtain an identification result; and sending the identification result to a server, wherein the server is used for processing the second traffic event based on the identification result.

The second traffic event in the above steps may be a new traffic event received by the server and issued to other navigation terminals.

The preset range in the above steps may be the farthest distance between the preset vehicle and the location where the second traffic event occurs, and when the vehicle is located within the range, the second traffic event occurring around the vehicle may be identified in the image captured by the vehicle, for example, the preset range may be plus or minus 100 meters, that is, the range of 100 meters around the vehicle.

The server will issue the second traffic event to each navigation terminal, but different users are located at different positions and may be far away from the second traffic event, and at this time, the user feedback information is often inaccurate and cannot be used as a reference. To address this issue, in an alternative embodiment, a distance between the vehicle and a location where the second traffic event occurs may be first determined, and when the distance is within a preset range, it may be determined that the second traffic event may occur around the vehicle. As shown in the method in the embodiment, after receiving the second traffic event issued by the server, the navigation terminal can acquire the second image around the vehicle, identify whether the traffic event occurs around the vehicle in real time through visual identification, and if the traffic event does not occur, send the related information of the traffic event which does not occur to the server; if a traffic event occurs, such as the occurrence of a third traffic event, information regarding the occurrence of a third best-fit event may be sent to the server. The server can determine whether the second traffic event reported by the navigation terminal is a real existing traffic event or not based on information fed back by different users, and determine whether the second traffic event is offline or not based on a corresponding feedback result, wherein if the second traffic event is the real existing traffic event, the offline is not required; if the second traffic event is not a real-existing traffic event, the line is dropped.

In the above embodiment of the present application, the obtaining a distance between the vehicle and a location where the second traffic event occurs includes: and determining the distance between the vehicle and the position where the second traffic event occurs based on the positioning position information of the vehicle and the longitude and latitude position information of the position where the second traffic event occurs.

In an optional embodiment, the longitude and latitude information of the second traffic event may be extracted based on the event information of the second traffic event sent by the server, and then the current position of the vehicle determined by the satellite positioning module, and the distance between the vehicle and the position where the second traffic event occurs may be combined.

In the above embodiment of the present application, the server is further configured to perform offline processing on the second traffic event when the recognition result is that the second traffic event does not occur in the area around the vehicle driving.

In an alternative embodiment, if it is determined that no traffic event occurs around the vehicle through identification, a prompt message of "no traffic event occurs" may be sent to the server, so that the server may determine that no second traffic event currently exists (for example, the second traffic event has ended, or the navigation terminal misreads the traffic event), and in order to avoid affecting normal travel of other users, the second traffic event may be offline.

In the above embodiment of the present application, the server is further configured to compare the event information of the second traffic event with the event information in the second image, in a case where the identification result is that the second traffic event occurs in the area around the vehicle driving; wherein the second traffic event is retained if the event information of the second traffic event is the same as the event information in the second image; if the event information of the second traffic event is different from the event information in the second image, the event information of the second traffic event is updated to the event information in the second image.

In an alternative embodiment, if it is determined by the recognition that a third traffic event occurs around the vehicle, the traffic event may be a previous second traffic event or a new traffic event, so the navigation terminal may transmit the event information in the second image back to the server, and the server determines whether the traffic event occurring around the vehicle is the same as the second traffic event and performs corresponding processing. After receiving the event information in the second image returned by the navigation terminal, the server may compare the event information in the second image with the event information of the second traffic event, if any one of the event information is different, it indicates that the event information of the second traffic event is different from the event information in the second image, and if all the information in the event information is the same, it indicates that the event information of the second traffic event is the same as the event information in the second image. If the event information of the second traffic event is the same as the event information in the second image, it indicates that the second traffic event did occur and did not end, and thus, the second traffic event may be retained; if the event information of the second traffic event is different from the event information in the second image, it indicates that the second traffic event is ended or a new traffic event occurs, and thus, the event information of the second traffic event can be updated to the event information in the second image, thereby ensuring that the server can provide a more accurate traffic event to the user.

Through the scheme, the server can issue the event information of the second traffic event to other navigation terminals after receiving the reported second traffic event so as to identify whether the second traffic event really exists and whether the second traffic event is finished, for example, for the traffic accident, the accident scene is cleaned, the second traffic event is finished, and the purposes of updating and offline of the traffic event are further completed based on the corresponding result, so that the technical effects of improving the traffic event acquisition speed and improving the accuracy and timeliness of the traffic event are further achieved.

Two preferred embodiments of the present application will be described in detail below with reference to fig. 4 and 5.

As shown in fig. 4, a preferred embodiment may be that the navigation terminal returns the traffic event to the background server after recognizing the traffic event, and the server performs processing such as duplicate removal and then issues the traffic event to other terminal users, which may specifically include the following steps:

and step S41, the navigation terminal containing the visual sensor collects surrounding images in real time and carries out lane-level positioning.

Optionally, the images around the current position may be collected in real time, lane separation lines are identified by identifying the collected images, and the lane separation lines are compared with the lane separation lines in the lane level data, so as to determine the current driving lane of the vehicle.

And step S42, when a traffic event (including a traffic accident, road construction, road closure and the like) is identified, returning the traffic event to the background server.

Optionally, the received images may be sequentially analyzed in real time to determine a target object, and feature information of the target object is extracted, and when the image features conform to the features of a certain type of traffic incident, it may be determined that the traffic incident is successfully identified. Furthermore, the lane where the traffic incident is located can be determined directly by identifying lane separation lines; alternatively, the relative relationship of the traffic event with respect to the vehicle is identified, thereby determining the lane in which the traffic event is located. And event information of the traffic event can be transmitted back to the background server, wherein the event information comprises: the type of the traffic event, the longitude and latitude of the event, the lane information of the event, the scene photo and the like.

And step S43, the background server releases the duplicate information to other navigation terminals after the duplicate information is eliminated and verified.

Optionally, after receiving the traffic event, the background server compares the traffic event with traffic events from other sources, and eliminates duplication; and when the traffic event is judged to be a new traffic event, the traffic event is issued to other end users.

As shown in fig. 5, another preferred embodiment may be that the server issues a traffic event, the navigation terminal identifies that if no traffic event exists, the navigation terminal returns to the server, and the server takes the offline processing of the event, which specifically includes the following steps:

and step S51, the server issues the traffic incident.

Optionally, the content sent by the server includes: event longitude and latitude, lane, event type, etc.

In step S52, the navigation terminal identifies traffic events around the current position in real time.

Optionally, the navigation terminal may adopt the method in the above preferred embodiment to identify whether a traffic event exists around the current parking space in real time through visual identification.

And step S53, judging whether there is traffic incident in the range within a certain range of the traffic incident issued by the distance server, and transmitting the result back to the server.

Optionally, the distance between the current parking space and the event may be determined in real time according to the longitude and latitude of the traffic event issued by the server, and when the distance value reaches a certain range, it is determined whether the traffic event can be identified within the range: if no traffic event is identified within the range, transmitting the result of 'none' back to the server; if the traffic event is identified in the range, returning event information of the traffic event, wherein the event information comprises: the type of the traffic event, the longitude and latitude of the event, the lane information of the event, the scene photo and the like.

In step S54, if there is no traffic event, the server logs off the traffic event.

Optionally, the server performs offline processing on the event according to the result "no" traffic event returned by the navigation terminal.

If a traffic event exists, the server retains the traffic event or updates the traffic event, step S55.

Optionally, according to the event information of the traffic event returned by the navigation terminal, the server retains the traffic event or updates the detailed information of the traffic event by performing processing such as removing duplicate.

Through the steps, the traffic incident is automatically identified and the related information is returned through the navigation terminal, manual return is not needed, a new traffic incident can be found, the traffic incident which does not exist can be timely downloaded, the whole operation is more timely and simple, and the accuracy and the timeliness of the traffic incident are further improved; with the increase of the user quantity of the navigation terminal, the coverage range of the scheme is wider; based on the real-time position coordinates of the navigation terminal, the traffic incident and the position can be associated in real time, so that the position of the traffic incident is more accurate; by uploading information such as lanes where accidents are located and on-site photos, traffic incident information is richer.

It should be noted that, for simplicity of description, the above-mentioned method embodiments are described as a series of acts or combination of acts, but those skilled in the art will recognize that the present application is not limited by the order of acts described, as some steps may occur in other orders or concurrently depending on the application. Further, those skilled in the art should also appreciate that the embodiments described in the specification are preferred embodiments and that the acts and modules referred to are not necessarily required in this application.

Through the above description of the embodiments, those skilled in the art can clearly understand that the method according to the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but the former is a better implementation mode in many cases. Based on such understanding, the technical solutions of the present application may be embodied in the form of a software product, which is stored in a storage medium (e.g., ROM/RAM, magnetic disk, optical disk) and includes instructions for enabling a terminal device (e.g., a mobile phone, a computer, a server, or a network device) to execute the method according to the embodiments of the present application.

Example 2

According to an embodiment of the present application, there is also provided an apparatus for acquiring a traffic event, which is used for implementing the method for acquiring a traffic event, as shown in fig. 6, the apparatus 600 includes: a first acquisition module 602, a recognition module 604, and a second acquisition module 606.

The first acquisition module 602 is used for acquiring a first image of a driving peripheral area of the vehicle; the identification module 604 is configured to identify the first image, and determine whether a traffic event occurs in a driving peripheral area of the vehicle, where the traffic event is an event affecting vehicle traffic; the second obtaining module 606 is configured to, in a case where it is determined that the first traffic event occurs in the vehicle driving peripheral area, obtain event information of the first traffic event, where the event information includes at least one of: a type of the first traffic event, lane information where the first traffic event occurred.

It should be noted here that the first obtaining module 602, the identifying module 604 and the second obtaining module 606 correspond to steps S302 to S306 in embodiment 1, and the three modules are the same as the corresponding steps in the implementation example and the application scenario, but are not limited to the disclosure in embodiment 1. It should be noted that the above modules may be operated in the computer terminal 10 provided in embodiment 1 as a part of the apparatus.

In the above embodiments of the present application, the second obtaining module includes: the first recognition submodule is used for recognizing the first image so as to obtain lane separation line data of a road where a vehicle is located; the first acquisition submodule is used for acquiring lane separation line standard data of a lane of a road where a vehicle is located based on the positioning position information of the vehicle; and the comparison submodule is used for comparing the lane separation line with the lane separation line standard data to determine the lane information of the first traffic incident.

In the above embodiments of the present application, the second obtaining module includes: the second acquisition submodule is used for acquiring lane information of a current driving lane of the vehicle; the second identification submodule is used for identifying the first image so as to acquire the relative position relation between the lane where the first traffic incident occurs and the current driving lane of the vehicle; and the first determining submodule is used for determining the lane information of the first traffic event based on the lane information of the current driving lane of the vehicle and the relative position relation.

In the above embodiments of the present application, the identification module includes: the second identification submodule is used for identifying the first image and determining a target object contained in the first image; the extraction submodule is used for extracting the characteristics of the target object to obtain the characteristic information of the target object; and the second determining submodule is used for determining whether a traffic event occurs in the vehicle driving peripheral area or not based on the characteristic information of the target object.

In the above embodiment of the present application, the second determining submodule includes: the comparison unit is used for comparing the characteristic information of the target object with the characteristic information of a preset traffic incident; the first determining unit is used for determining that no traffic incident occurs in the vehicle driving surrounding area if the matching of the characteristic information of the target object and the preset characteristic information fails; and the second determining unit is used for determining that the first traffic incident with the same type as the matched traffic incident occurs in the vehicle driving peripheral area if the characteristic information of the target object is successfully matched with the characteristic information of any one traffic incident.

In the above embodiment of the present application, the apparatus further includes: and the sending module is used for sending the event information to the server, wherein the server is used for comparing the event information of the first traffic event with other event information, judging whether the first traffic event is a newly generated traffic event or not, and synchronizing the event information of the first traffic event to other navigation terminals if the first traffic event is the newly generated traffic event.

In the above embodiment of the present application, the apparatus further includes: the third acquisition module is used for acquiring the distance between the vehicle and the position where the second traffic event occurs after receiving the event information of the second traffic event synchronized by the server; the first acquisition module is further used for acquiring a second image of the vehicle driving peripheral area under the condition that the distance is within the preset range; the identification module is also used for identifying the second image, judging whether a traffic incident occurs in the area around the vehicle running, and obtaining an identification result; the sending module is further used for sending the identification result to the server, wherein the server is used for processing the second traffic event based on the identification result.

In the above embodiment of the application, the third obtaining module is further configured to determine a distance between the vehicle and the location where the second traffic event occurs based on the location information of the vehicle and the longitude and latitude location information where the second traffic event occurs.

It should be noted that the preferred embodiments described in the above examples of the present application are the same as the schemes, application scenarios, and implementation procedures provided in example 1, but are not limited to the schemes provided in example 1.

Example 3

There is also provided, in accordance with an embodiment of the present application, a method of acquiring a traffic event, it being noted that the steps illustrated in the flowchart of the figure may be performed in a computer system, such as a set of computer-executable instructions, and that, although a logical order is illustrated in the flowchart, in some cases, the steps illustrated or described may be performed in an order different than here.

Fig. 7 is a flow chart of a second method of acquiring a traffic event according to an embodiment of the present application. As shown in fig. 7, the method includes the steps of:

step S702, displaying a first image of the vehicle driving peripheral area on an interactive interface of the vehicle.

The interactive interface in the above step may be an interface displayed in a touch screen of a vehicle, or an interface displayed in a touch screen of a navigation terminal installed on the vehicle, wherein a user interacts with the interactive interface in a voice or touch operation manner.

Step S704, identifying the first image, and marking an event image of the first traffic event on the interactive interface, wherein the first traffic event is an event influencing vehicle passing.

The event image in the above step may be an image containing a first traffic event.

Step S706, displaying the event information of the first traffic event on the interactive interface, wherein the event information comprises at least one of the following: a type of the first traffic event, lane information where the first traffic event occurred.

In the above embodiment of the present application, before displaying the event information of the first traffic event on the interactive interface in step S706, the method further includes: recognizing the event image to obtain lane separation line data of a road where the vehicle is located; acquiring lane separation line standard data of a lane of a road where the vehicle is located based on the positioning position information of the vehicle; and comparing the lane separation lines with the lane separation line standard data to determine lane information of the first traffic event.

In the above embodiment of the present application, before displaying the event information of the first traffic event on the interactive interface in step S706, the method further includes: acquiring lane information of a current driving lane of a vehicle; identifying a first image to acquire a relative position relation between a lane where a first traffic incident occurs and a current driving lane of the vehicle; and determining the lane information of the first traffic event based on the lane information of the current driving lane of the vehicle and the relative position relation.

In the above embodiment of the present application, in step S704, before identifying the first image and marking the event image of the first traffic event occurring on the interactive interface, the method further includes: identifying a first image, and determining a target object contained in the first image; extracting the characteristics of the target object to obtain the characteristic information of the target object; and determining whether a traffic event occurs in the vehicle driving peripheral area based on the characteristic information of the target object.

In the above-described embodiments of the present application, determining whether a traffic event occurs in a driving peripheral area of the vehicle based on the feature information of the target object includes: comparing the characteristic information of the target object with the preset characteristic information of the traffic incident; if the matching of the characteristic information of the target object and the preset characteristic information fails, determining that no traffic incident occurs in the area around the vehicle running; and if the characteristic information of the target object is successfully matched with the characteristic information of any traffic incident, determining that a first traffic incident with the same type as the matched traffic incident occurs in the vehicle driving surrounding area.

In the foregoing embodiment of the present application, in step S706, after the event information of the first traffic event is displayed on the interactive interface, the method further includes: and sending the event information to a server, wherein the server is used for comparing the event information of the first traffic event with other event information, judging whether the first traffic event is a newly generated traffic event, and synchronizing the event information of the first traffic event to other navigation terminals if the first traffic event is the newly generated traffic event.

In the above embodiment of the present application, after receiving the event information of the second traffic event synchronized by the server, the method further includes: displaying, on the interactive interface, a distance between the vehicle and the location at which the second traffic event occurred; under the condition that the distance is within the preset range, displaying a second image of the vehicle driving peripheral area on the interactive interface; identifying the second image, and judging whether a traffic event occurs in the area around the vehicle to obtain an identification result; and sending the identification result to a server, wherein the server is used for processing the second traffic event based on the identification result.

In the above embodiment of the present application, before displaying the distance between the vehicle and the location where the second traffic event occurs on the interactive interface, the method further includes: and determining the distance between the vehicle and the position where the second traffic event occurs based on the positioning position information of the vehicle and the longitude and latitude position information of the position where the second traffic event occurs.

In the above embodiment of the present application, the server is further configured to perform offline processing on the second traffic event when the recognition result is that the second traffic event does not occur in the area around the vehicle driving.

In the above embodiment of the present application, the server is further configured to compare the event information of the second traffic event with the event information in the second image if the identification result is that the second traffic event occurs in the area around the vehicle, wherein if the event information of the second traffic event is the same as the event information in the second image, the second traffic event is retained; if the event information of the second traffic event is different from the event information in the second image, the event information of the second traffic event is updated to the event information in the second image.

It should be noted that the preferred embodiments described in the above examples of the present application are the same as the schemes, application scenarios, and implementation procedures provided in example 1, but are not limited to the schemes provided in example 1.

Example 4

According to an embodiment of the present application, there is also provided an apparatus for acquiring a traffic event, which is used for implementing the method for acquiring a traffic event described above, and as shown in fig. 8, the apparatus 800 includes: a first display module 802, a marking module 804, and a second display module 806.

The first display module 802 is configured to display a first image of a vehicle driving peripheral area where the vehicle is located on an interactive interface of the vehicle; the marking module 804 is configured to identify a first image, and mark an event image of an occurring first traffic event on the interactive interface, where the first traffic event is an event affecting vehicle traffic; the second display module 806 is configured to display event information of the first traffic event on the interactive interface, the event information including at least one of: a type of the first traffic event, lane information where the first traffic event occurred.

It should be noted that the first display module 802, the marking module 804 and the second display module 806 correspond to steps S702 to S706 in embodiment 3, and the three modules are the same as the corresponding steps in the implementation example and the application scenario, but are not limited to the disclosure in embodiment 1. It should be noted that the above modules as a part of the apparatus may operate in the computer terminal 10 provided in embodiment 1.

In the above embodiment of the present application, the apparatus further includes: the first recognition module is used for recognizing the event image so as to obtain lane separation line data of a road where the vehicle is located; the acquisition module is used for acquiring lane separation line standard data of a lane of a road where the vehicle is located based on the positioning position information of the vehicle; and the comparison module is used for comparing the lane separation lines with the lane separation line standard data to determine lane information of the first traffic incident.

In the above embodiment of the present application, the apparatus further includes: the system comprises an acquisition module, a control module and a control module, wherein the acquisition module is used for acquiring lane information of a current driving lane of a vehicle; the second identification module is used for identifying the first image so as to acquire the relative position relation between the lane where the first traffic incident occurs and the current driving lane of the vehicle; the first determining module is used for determining lane information of the first traffic event based on the lane information and the relative position relation of the current driving lane of the vehicle.

In the above embodiment of the present application, the apparatus further includes: the third identification module is used for identifying the first image and determining a target object contained in the first image; the extraction module is used for extracting the characteristics of the target object to obtain the characteristic information of the target object; and the second determination module is used for determining whether the traffic event occurs in the vehicle driving peripheral area or not based on the characteristic information of the target object.

In the above embodiments of the present application, the second determining module includes: the comparison unit is used for comparing the characteristic information of the target object with the characteristic information of a preset traffic incident; the first determining unit is used for determining that no traffic incident occurs in the vehicle driving surrounding area if the matching of the characteristic information of the target object and the preset characteristic information fails; and the second determination unit is used for determining that the first traffic event with the same type as the matched traffic event occurs in the vehicle driving peripheral area if the characteristic information of the target object is successfully matched with the characteristic information of any one traffic event.

In the above embodiment of the present application, the apparatus further includes: and the sending module is used for sending the event information to the server, wherein the server is used for comparing the event information of the first traffic event with other event information, judging whether the first traffic event is a newly generated traffic event or not, and synchronizing the event information of the first traffic event to other navigation terminals if the first traffic event is the newly generated traffic event.

In the above embodiment of the present application, the apparatus further includes: the third display module is used for displaying the distance between the vehicle and the position where the second traffic event occurs on the interactive interface after receiving the event information of the second traffic event synchronized by the server; the first display module is further used for displaying a second image of the vehicle driving peripheral area on the interactive interface under the condition that the distance is within the preset range; the first judging module is also used for identifying the second image, judging whether a traffic incident occurs in the area around the vehicle running, and obtaining an identification result; the sending module is further used for sending the identification result to the server, wherein the server is used for processing the second traffic event based on the identification result.

In the above embodiment of the present application, the apparatus further includes: and the determining module is used for determining the distance between the vehicle and the position where the second traffic event occurs based on the positioning position information of the vehicle and the longitude and latitude position information of the position where the second traffic event occurs before the distance between the vehicle and the position where the second traffic event occurs is displayed on the interactive interface.

It should be noted that the preferred embodiments described in the above examples of the present application are the same as the schemes, application scenarios, and implementation procedures provided in example 1, but are not limited to the schemes provided in example 1.

Example 5

There is also provided, in accordance with an embodiment of the present application, a method of acquiring a traffic event, it being noted that the steps illustrated in the flowchart of the figure may be performed in a computer system, such as a set of computer-executable instructions, and that, although a logical order is illustrated in the flowchart, in some cases, the steps illustrated or described may be performed in an order different than here.

Fig. 9 is a flow chart of a third method of acquiring traffic events according to an embodiment of the present application. As shown in fig. 9, the method includes the steps of:

in step S902, if it is detected that a first traffic event occurs in the driving periphery area of the vehicle, a first image of the driving periphery area of the vehicle is captured, wherein the first traffic event is an event affecting vehicle traffic.

Step S904, identify the first image, and obtain an event image of the first traffic event.

Step S906, event information of the first traffic event is acquired, and the event information comprises at least one of the following: type of traffic event, lane information where the first traffic event occurred.

In the above embodiment of the present application, in step S906, the acquiring event information of the first traffic event includes: recognizing the event image to obtain lane separation line data of a road where the vehicle is located; acquiring lane separation line standard data of a lane of a road where the vehicle is located based on the positioning position information of the vehicle; and comparing the lane separation lines with the lane separation line standard data to determine lane information of the first traffic event.

In the above embodiment of the present application, in step S906, the acquiring event information of the first traffic event includes: acquiring lane information of a current driving lane of a vehicle; identifying a first image to acquire a relative position relation between a lane where a first traffic event occurs and a current driving lane of the vehicle; and determining lane information of the first traffic event based on the lane information of the current driving lane of the vehicle and the relative position relation.

In the above embodiment of the present application, in step S904, identifying the first image, and acquiring the event image of the first traffic event includes: identifying a first image, and determining a target object contained in the first image; extracting the characteristics of the target object to obtain the characteristic information of the target object; and determining whether a traffic event occurs in the vehicle driving peripheral area based on the characteristic information of the target object.

In the above embodiments of the present application, determining whether a traffic event occurs in a driving peripheral area of a vehicle based on feature information of a target object includes: comparing the characteristic information of the target object with the preset characteristic information of the traffic incident; if the matching of the characteristic information of the target object and the preset characteristic information fails, determining that no traffic incident occurs in the area around the vehicle running; and if the characteristic information of the target object is successfully matched with the characteristic information of any one traffic event, determining that a first traffic event of the same type as the matched traffic event occurs in the vehicle driving peripheral area.

In the above embodiment of the present application, after the step S906, after acquiring the event information of the first traffic event, the method further includes: and sending the event information to a server, wherein the server is used for comparing the event information of the first traffic event with other event information, judging whether the first traffic event is a newly generated traffic event, and synchronizing the event information of the first traffic event to other navigation terminals if the first traffic event is the newly generated traffic event.

In the above embodiment of the present application, after receiving the event information of the second traffic event synchronized by the server, the method further includes: obtaining a distance between the vehicle and a location where the second traffic event occurs; under the condition that the distance is within a preset range, acquiring a second image of a vehicle driving peripheral area; identifying the second image, and judging whether a traffic event occurs in the area around the vehicle to obtain an identification result; and sending the identification result to a server, wherein the server is used for processing the second traffic event based on the identification result.

In the above embodiments of the present application, the obtaining a distance between the vehicle and a location where the second traffic event occurs includes: and determining the distance between the vehicle and the position where the second traffic event occurs based on the positioning position information of the vehicle and the longitude and latitude position information of the position where the second traffic event occurs.

In the above embodiment of the present application, the server is further configured to perform offline processing on the second traffic event when the recognition result is that the second traffic event does not occur in the area around the vehicle driving.

In the above embodiment of the present application, the server is further configured to compare the event information of the second traffic event with the event information in the second image, in a case where the identification result is that the second traffic event occurs in the area around the vehicle driving; wherein the second traffic event is retained if the event information for the second traffic event is the same as the event information in the second image; if the event information of the second traffic event is different from the event information in the second image, the event information of the second traffic event is updated to the event information in the second image.

It should be noted that the preferred embodiments described in the above examples of the present application are the same as the schemes, application scenarios, and implementation procedures provided in example 1, but are not limited to the schemes provided in example 1.

Example 6

According to an embodiment of the present application, there is also provided an apparatus for acquiring a traffic event, for implementing the method for acquiring a traffic event, as shown in fig. 10, the apparatus 1000 includes: a capture module 1002, an identification module 1004, and an acquisition module 1006.

The capturing module 1002 is configured to capture a first image of a driving peripheral area of a vehicle if a first traffic event is detected to occur in the driving peripheral area of the vehicle, where the first traffic event is an event affecting vehicle passing; the identification module 1004 is configured to identify the first image and obtain an event image of the first traffic event; the obtaining module 1006 is configured to obtain event information of the first traffic event, where the event information includes at least one of: type of traffic event, lane information where the first traffic event occurred.

It should be noted here that the capturing module 1002, the identifying module 1004 and the obtaining module 1006 correspond to steps S902 to S906 in embodiment 5, and the three modules are the same as the corresponding steps in the implementation example and application scenario, but are not limited to the disclosure in embodiment 1. It should be noted that the above modules may be operated in the computer terminal 10 provided in embodiment 1 as a part of the apparatus.

In the above embodiments of the present application, the identification module includes: the first recognition submodule is used for recognizing the event image so as to obtain lane separation line data of a road where the vehicle is located; the first acquisition submodule is used for acquiring lane separation line standard data of a lane of a road where a vehicle is located based on the positioning position information of the vehicle; and the comparison submodule is used for comparing the lane separation line with the standard data of the lane separation line and determining the lane information of the first traffic incident.

In the above embodiments of the present application, the identification module includes: the second acquisition submodule is used for acquiring lane information of a current driving lane of the vehicle; the second identification submodule is used for identifying the event image so as to acquire the relative position relation between the lane where the first traffic event occurs and the current driving lane of the vehicle; and the first determining submodule is used for determining the lane information of the first traffic event based on the lane information of the current driving lane of the vehicle and the relative position relation.

In the above embodiment of the present application, the identification module includes: the third identification submodule is used for identifying the first image and determining a target object contained in the first image; the extraction submodule is used for extracting the characteristics of the target object to obtain the characteristic information of the target object; and the second determining submodule is used for determining whether a traffic event occurs in the vehicle driving peripheral area or not based on the characteristic information of the target object.

In the above embodiment of the present application, the second determining sub-module includes: the comparison unit is used for comparing the characteristic information of the target object with the characteristic information of a preset traffic incident; the first determining unit is used for determining that no traffic incident occurs in the vehicle driving surrounding area if the matching of the characteristic information of the target object and the preset characteristic information fails; and the second determination unit is used for determining that the first traffic event with the same type as the matched traffic event occurs in the vehicle driving peripheral area if the characteristic information of the target object is successfully matched with the characteristic information of any one traffic event.

In the above embodiment of the present application, the apparatus further includes: and the sending module is used for sending the event information to the server, wherein the server is used for comparing the event information of the first traffic event with other event information, judging whether the first traffic event is a newly generated traffic event or not, and synchronizing the event information of the first traffic event to other navigation terminals if the first traffic event is the newly generated traffic event.

In the above embodiment of the present application, the obtaining module is further configured to obtain, after receiving event information of a second traffic event synchronized by the server, a distance between the vehicle and a location where the second traffic event occurs; the capturing module is also used for capturing a second image of the vehicle driving peripheral area under the condition that the distance is within the preset range; the identification module is also used for identifying the second image, judging whether a traffic incident occurs in the area around the vehicle running, and obtaining an identification result; the sending module is further used for sending the identification result to the server, wherein the server is used for processing the second traffic event based on the identification result.

In the above embodiment of the present application, the obtaining module is further configured to determine a distance between the vehicle and a location where the second traffic event occurs based on the location information of the vehicle and the longitude and latitude location information where the second traffic event occurs.

It should be noted that the preferred embodiments described in the above examples of the present application are the same as the schemes, application scenarios, and implementation procedures provided in example 1, but are not limited to the schemes provided in example 1.

Example 7

According to an embodiment of the present application, there is also provided a navigation terminal, as shown in fig. 11, including: a vision acquisition module 112, an event recognition module 114, a lane locating module 116, and a data management module 118.

The vision acquisition module 112 is configured to acquire a first image of a driving peripheral area of the vehicle; the event identification module 114 is configured to identify the first image, and determine whether a traffic event occurs in a driving area around the vehicle, where the traffic event is an event affecting the vehicle passing; the lane positioning module 116 is configured to, in a case where it is determined that the first traffic event occurs in the vehicle driving peripheral area, acquire lane information in which the first traffic event occurs; the data management module 118 is configured to obtain event information for the first traffic event, the event information including at least one of: a type of the first traffic event, lane information where the first traffic event occurred.

In the above embodiments of the present application, the lane positioning module includes: the device comprises an image recognition module and a lane data module.

The image recognition module is used for recognizing the first image so as to obtain lane separation line data of a road where the vehicle is located; the lane data module is used for acquiring lane separation line standard data of a lane of a road where the vehicle is located based on the positioning position information of the vehicle; the image recognition module is further used for comparing the lane separation lines with the lane separation line standard data to determine lane information of the first traffic event.

In the above embodiment of the present application, the lane positioning module is further configured to obtain lane information of a current driving lane of the vehicle, identify the first image to obtain a relative position relationship between the lane where the first traffic event occurs and the current driving lane of the vehicle, and determine the lane information where the first traffic event occurs based on the lane information and the relative position relationship of the current driving lane of the vehicle.

In the above embodiment of the application, the event recognition module is further configured to recognize the first image, determine a target object included in the first image, perform feature extraction on the target object to obtain feature information of the target object, and determine whether a traffic event occurs in a driving peripheral area of the vehicle based on the feature information of the target object.

In the above embodiment of the present application, the event identification module is further configured to compare feature information of the target object with feature information of a preset traffic event; if the matching of the characteristic information of the target object and the preset characteristic information fails, determining that no traffic incident occurs in the area around the vehicle running; and if the characteristic information of the target object is successfully matched with the characteristic information of any one traffic event, determining that a first traffic event of the same type as the matched traffic event occurs in the vehicle driving peripheral area.

In the above embodiment of the present application, the data management module is further configured to send event information to the server, where the server is configured to compare the event information of the first traffic event with other event information, determine whether the first traffic event is a newly generated traffic event, and synchronize the event information of the first traffic event to other navigation terminals if the first traffic event is the newly generated traffic event.

In the above embodiment of the present application, the data management module is further configured to receive event information of a second traffic event synchronized by the server; the vision acquisition module is also used for acquiring a second image of the vehicle driving peripheral area under the condition that the distance between the vehicle and the position where the second traffic incident occurs is within a preset range; the event identification module is also used for identifying the second image, judging whether a traffic event occurs in the area around the vehicle running, and obtaining an identification result; the data management module is further used for sending the identification result to the server, wherein the server is used for processing the second traffic event based on the identification result.

In the above embodiments of the present application, the lane positioning module includes: and a satellite positioning module.

The satellite positioning module is used for determining the distance between the vehicle and the position where the second traffic event occurs based on the positioning position information of the vehicle and the longitude and latitude position information of the position where the second traffic event occurs.

In the above embodiment of the present application, the server is further configured to perform offline processing on the second traffic event when the recognition result is that the second traffic event does not occur in the area around the vehicle driving.

In the above embodiment of the application, the server is further configured to compare the event information of the second traffic event with the event information in the second image when the identification result is that the second traffic event occurs in the area around the vehicle; wherein the second traffic event is retained if the event information of the second traffic event is the same as the event information in the second image; if the event information of the second traffic event is different from the event information in the second image, the event information of the second traffic event is updated to the event information in the second image.

The preferred embodiment of the present application will be described in detail with reference to fig. 12 and 13. As shown in fig. 12, the navigation terminal may include: a vision collection module, an event recognition module, a lane-level positioning module (i.e. the above lane positioning module), and a data management module, as shown in fig. 13, the lane-level positioning module includes: lane-level data (i.e., the lane data module described above), an image recognition module, and a satellite positioning module. In combination with the scheme shown in fig. 4, the image data around the current position can be acquired in real time through the visual acquisition module, the lane separation lines are identified through the image recognition module in the lane-level positioning module, and the lane separation lines are compared with the types of the lane separation lines in the lane-level data, so that the lane in which the vehicle runs is determined. The images received in sequence are analyzed in real time through the event recognition module, a target object is determined, the characteristic information of the target object is extracted, and when the image characteristics accord with the characteristics of a certain type of traffic events, the traffic events can be successfully recognized. The lane in which the traffic event is located is determined by the lane-level location module (one way is to directly identify the lane in which the traffic event is located; and the other way is to identify the relative relationship of the traffic event with respect to the automatic system, so as to identify the lane in which the traffic event is located). And outputting the event information of the traffic event to a data management module, and returning the received event information to the background server through the data management module. As can be seen from the scheme shown in fig. 4, the satellite positioning module in the lane-level positioning module can determine the distance between the current parking space and the traffic event in real time according to the longitude and latitude of the traffic event sent by the server.

It should be noted that the preferred embodiments described in the above examples of the present application are the same as the schemes, application scenarios, and implementation procedures provided in example 1, but are not limited to the schemes provided in example 1.

Example 8

The embodiment of the application can provide a computer terminal, and the computer terminal can be any one computer terminal device in a computer terminal group. Optionally, in this embodiment, the computer terminal may also be replaced with a terminal device such as a mobile terminal.

Optionally, in this embodiment, the computer terminal may be located in at least one network device of a plurality of network devices of a computer network.

In this embodiment, the computer terminal may execute program codes of the following steps in the method for acquiring a traffic event: acquiring a first image of a vehicle driving peripheral area; identifying the first image, and determining whether a traffic event occurs in a driving peripheral area of the vehicle, wherein the traffic event is an event influencing the passing of the vehicle; in the case that the first traffic event occurs in the vehicle driving peripheral area, acquiring event information of the first traffic event, wherein the event information comprises at least one of the following: a type of the first traffic event, lane information where the first traffic event occurred.

Optionally, fig. 14 is a block diagram of a computer terminal according to an embodiment of the present application. As shown in fig. 14, the computer terminal a may include: one or more processors 1402 (only one shown), and a memory 1404.

The memory may be used to store software programs and modules, such as program instructions/modules corresponding to the method and apparatus for acquiring a traffic event in the embodiments of the present application, and the processor executes various functional applications and data processing by running the software programs and modules stored in the memory, so as to implement the above-mentioned method for acquiring a traffic event. The memory may include high-speed random access memory, and may also include non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some examples, the memory may further include memory remotely located from the processor, which may be connected to terminal a through a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.

The processor can call the information and application program stored in the memory through the transmission device to execute the following steps: acquiring a first image of a vehicle driving peripheral area; identifying the first image, and determining whether a traffic event occurs in a driving peripheral area of the vehicle, wherein the traffic event is an event influencing the passing of the vehicle; in the case that the first traffic event occurs in the vehicle driving peripheral area, acquiring event information of the first traffic event, wherein the event information comprises at least one of the following: a type of the first traffic event, lane information where the first traffic event occurred.

Optionally, the processor may further execute the program code of the following steps: recognizing the first image to obtain lane separation line data of a road where the vehicle is located; acquiring lane separation line standard data of a lane of a road where the vehicle is located based on the positioning position information of the vehicle; and comparing the lane separation line with the lane separation line standard data to determine the lane information of the first traffic incident.

Optionally, the processor may further execute the program code of the following steps: acquiring lane information of a current driving lane of a vehicle; identifying a first image to acquire a relative position relation between a lane where a first traffic event occurs and a current driving lane of the vehicle; and determining lane information of the first traffic event based on the lane information of the current driving lane of the vehicle and the relative position relation.

Optionally, the processor may further execute the program code of the following steps: identifying a first image, and determining a target object contained in the first image; extracting the characteristics of the target object to obtain the characteristic information of the target object; and determining whether a traffic event occurs in the vehicle driving peripheral area based on the characteristic information of the target object.

Optionally, the processor may further execute the program code of the following steps: comparing the characteristic information of the target object with the preset characteristic information of the traffic incident; if the matching of the characteristic information of the target object and the preset characteristic information fails, determining that no traffic incident occurs in the area around the vehicle running; and if the characteristic information of the target object is successfully matched with the characteristic information of any one traffic event, determining that a first traffic event of the same type as the matched traffic event occurs in the vehicle driving peripheral area.

Optionally, the processor may further execute the program code of the following steps: and sending the event information to a server.

Optionally, the processor may further execute the program code of the following steps: after receiving the event information of the second traffic event synchronized by the server, acquiring the distance between the vehicle and the position where the second traffic event occurs; under the condition that the distance is within a preset range, acquiring a second image of a vehicle driving peripheral area; identifying the second image, and judging whether a traffic event occurs in the area around the vehicle to obtain an identification result; and sending the identification result to a server, wherein the server is used for processing the second traffic event based on the identification result.

Optionally, the processor may further execute the program code of the following steps: and determining the distance between the vehicle and the position where the second traffic event occurs based on the positioning position information of the vehicle and the longitude and latitude position information of the position where the second traffic event occurs.

The processor can call the information and application program stored in the memory through the transmission device to execute the following steps: displaying a first image of a vehicle driving peripheral area on an interactive interface of the vehicle; identifying a first image, and marking an event image of a first traffic event on an interactive interface, wherein the first traffic event is an event influencing vehicle passing; displaying event information for the first traffic event on the interactive interface, the event information including at least one of: a type of the first traffic event, and lane information in which the first traffic event occurred.

The processor can call the information and application program stored in the memory through the transmission device to execute the following steps: if a first traffic event is detected to occur in the area around the vehicle, capturing a first image of the area around the vehicle, wherein the first traffic event is an event influencing the vehicle to pass; identifying a first image, and acquiring an event image of a first traffic event; obtaining event information of a first traffic event, the event information including at least one of: type of traffic event, lane information where the first traffic event occurred.

By adopting the embodiment of the application, a traffic incident processing scheme is provided. The method and the device have the advantages that whether the traffic incident occurs or not is determined by identifying the images of the areas around the running vehicle in real time, and the related information of the traffic incident is automatically returned to the server without manual returning under the condition that the traffic incident occurs, so that the technical effects of improving the traffic incident obtaining speed and improving the accuracy and timeliness of the traffic incident are achieved, and the technical problems of low accuracy and high cost of obtaining the traffic incident in the related technology are solved.

It can be understood by those skilled in the art that the structure shown in fig. 14 is only an illustration, and the computer terminal may also be a terminal device such as a smart phone (e.g., an Android phone, an iOS phone, etc.), a tablet computer, a palm computer, a Mobile Internet Device (MID), a PAD, etc. Fig. 14 is a diagram illustrating a structure of the electronic device. For example, the computer terminal a may also include more or fewer components (e.g., network interfaces, display devices, etc.) than shown in fig. 14, or have a different configuration than shown in fig. 14.

Those skilled in the art will appreciate that all or part of the steps in the methods of the above embodiments may be implemented by a program instructing hardware associated with the terminal device, where the program may be stored in a computer-readable storage medium, and the storage medium may include: flash disks, Read-Only memories (ROMs), Random Access Memories (RAMs), magnetic or optical disks, and the like.

Example 9

Embodiments of the present application also provide a computer-readable storage medium. Optionally, in this embodiment, the storage medium may be configured to store the program code executed by the method for acquiring a traffic event provided in the embodiment.

Optionally, in this embodiment, the storage medium may be located in any one of computer terminals in a computer terminal group in a computer network, or in any one of mobile terminals in a mobile terminal group.

Optionally, in this embodiment, the storage medium is configured to store program code for performing the following steps: acquiring a first image of a vehicle driving peripheral area; identifying the first image, and determining whether a traffic event occurs in a driving peripheral area of the vehicle, wherein the traffic event is an event influencing the passing of the vehicle; in the case that the first traffic event occurs in the vehicle driving peripheral area, acquiring event information of the first traffic event, wherein the event information comprises at least one of the following: a type of the first traffic event, lane information where the first traffic event occurred.

Optionally, the storage medium is further configured to store program code for performing the following steps: recognizing the first image to obtain lane separation line data of a road where the vehicle is located; acquiring lane separation line standard data of a lane of a road where the vehicle is located based on the positioning position information of the vehicle; and comparing the lane separation lines with the lane separation line standard data to determine lane information of the first traffic event.

Optionally, the storage medium is further configured to store program code for performing the following steps: acquiring lane information of a current driving lane of a vehicle; identifying a first image to acquire a relative position relation between a lane where a first traffic event occurs and a current driving lane of the vehicle; and determining lane information of the first traffic event based on the lane information of the current driving lane of the vehicle and the relative position relation.

Optionally, the storage medium is further configured to store program code for performing the following steps: identifying a first image, and determining a target object contained in the first image; extracting the characteristics of the target object to obtain the characteristic information of the target object; and determining whether a traffic event occurs in the vehicle driving peripheral area based on the characteristic information of the target object.

Optionally, the storage medium is further configured to store program code for performing the following steps: comparing the characteristic information of the target object with the preset characteristic information of the traffic incident; if the matching of the characteristic information of the target object and the preset characteristic information fails, determining that no traffic incident occurs in the area around the vehicle running; and if the characteristic information of the target object is successfully matched with the characteristic information of any one traffic event, determining that a first traffic event of the same type as the matched traffic event occurs in the vehicle driving peripheral area.

Optionally, the storage medium is further configured to store program code for performing the following steps: and sending the event information to a server.

Optionally, the storage medium is further configured to store program code for performing the following steps: after receiving the event information of the second traffic event synchronized by the server, acquiring the distance between the vehicle and the position where the second traffic event occurs; under the condition that the distance is within a preset range, acquiring a second image of a vehicle driving peripheral area; identifying the second image, and judging whether a traffic event occurs in the area around the vehicle to obtain an identification result; and sending the identification result to a server, wherein the server is used for processing the second traffic event based on the identification result.

Optionally, the storage medium is further configured to store program code for performing the following steps: and determining the distance between the vehicle and the position where the second traffic event occurs based on the positioning position information of the vehicle and the longitude and latitude position information of the position where the second traffic event occurs.

Optionally, in this embodiment, the storage medium is configured to store program code for performing the following steps: displaying a first image of a vehicle driving peripheral area where a vehicle is located on an interactive interface of the vehicle; identifying a first image, and marking an event image of a first traffic event on an interactive interface, wherein the first traffic event is an event influencing vehicle passing; displaying event information for the first traffic event on the interactive interface, the event information including at least one of: a type of the first traffic event, and lane information in which the first traffic event occurred.

Optionally, in this embodiment, the storage medium is configured to store program code for performing the following steps: if a first traffic event is detected to occur in the area around the vehicle, capturing a first image of the area around the vehicle, wherein the first traffic event is an event influencing the vehicle to pass; identifying a first image, and acquiring an event image of a first traffic event; obtaining event information of a first traffic event, the event information including at least one of: type of traffic event, lane information where the first traffic event occurred; and sending the event information to a server.

Example 10

Embodiments of the present application also provide a computer program product comprising computer program instructions. Optionally, in this embodiment, the computer program instructions may cause a computer to execute the method for acquiring a traffic event.

Optionally, in this embodiment, the computer program instructions cause the computer to perform the steps of: acquiring a first image of a vehicle driving peripheral area; identifying the first image, and determining whether a traffic event occurs in a driving peripheral area of the vehicle, wherein the traffic event is an event influencing the passing of the vehicle; in the case that the first traffic event occurs in the vehicle driving peripheral area, acquiring event information of the first traffic event, wherein the event information comprises at least one of the following: a type of the first traffic event, lane information where the first traffic event occurred.

Optionally, the computer program instructions further cause the computer to perform the steps of: recognizing the first image to obtain lane separation line data of a road where the vehicle is located; acquiring lane separation line standard data of a lane of a road where the vehicle is located based on the positioning position information of the vehicle; and comparing the lane separation lines with the lane separation line standard data to determine lane information of the first traffic event.

Optionally, the computer program instructions further cause the computer to perform the steps of: acquiring lane information of a current driving lane of a vehicle; identifying a first image to acquire a relative position relation between a lane where a first traffic event occurs and a current driving lane of the vehicle; and determining lane information of the first traffic event based on the lane information of the current driving lane of the vehicle and the relative position relation.

Optionally, the computer program instructions further cause the computer to perform the steps of: identifying a first image, and determining a target object contained in the first image; extracting the characteristics of the target object to obtain the characteristic information of the target object; and determining whether a traffic event occurs in the vehicle driving peripheral area based on the characteristic information of the target object.

Optionally, the computer program instructions further cause the computer to perform the steps of: comparing the characteristic information of the target object with the preset characteristic information of the traffic incident; if the matching of the characteristic information of the target object and the preset characteristic information fails, determining that no traffic incident occurs in the area around the vehicle running; and if the characteristic information of the target object is successfully matched with the characteristic information of any one traffic event, determining that a first traffic event of the same type as the matched traffic event occurs in the vehicle driving peripheral area.

Optionally, the computer program instructions further cause the computer to perform the steps of: and sending the event information to a server.

Optionally, the computer program instructions further cause the computer to perform the steps of: after receiving the event information of the second traffic event synchronized by the server, acquiring the distance between the vehicle and the position where the second traffic event occurs; under the condition that the distance is within a preset range, acquiring a second image of a vehicle driving peripheral area; identifying the second image, and judging whether a traffic event occurs in the area around the vehicle to obtain an identification result; and sending the identification result to a server, wherein the server is used for processing the second traffic event based on the identification result.

Optionally, the computer program instructions further cause the computer to perform the steps of: and determining the distance between the vehicle and the position where the second traffic event occurs based on the positioning position information of the vehicle and the longitude and latitude position information of the position where the second traffic event occurs.

Optionally, in this embodiment, the computer program instructions cause the computer to perform the steps of: displaying a first image of a vehicle driving peripheral area where a vehicle is located on an interactive interface of the vehicle; identifying a first image, and marking an event image of a first traffic event on an interactive interface, wherein the first traffic event is an event influencing vehicle passing; displaying event information for the first traffic event on the interactive interface, the event information including at least one of: a type of the first traffic event, lane information where the first traffic event occurred.

Optionally, in this embodiment, the computer program instructions cause the computer to perform the steps of: if a first traffic event is detected to occur in a driving peripheral area of the vehicle, capturing a first image of the driving peripheral area of the vehicle, wherein the first traffic event is an event influencing the vehicle to pass; identifying a first image, and acquiring an event image of a first traffic event; obtaining event information of a first traffic event, the event information including at least one of: type of traffic event, lane information where the first traffic event occurred; and sending the event information to a server.

The above-mentioned serial numbers of the embodiments of the present application are merely for description and do not represent the merits of the embodiments.

In the embodiments of the present application, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to the related descriptions of other embodiments.

In the embodiments provided in the present application, it should be understood that the disclosed technology can be implemented in other ways. The above-described embodiments of the apparatus are merely illustrative, and for example, the division of the units is only one type of division of logical functions, and there may be other divisions when actually implemented, for example, a plurality of units or components may be combined or may be integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, units or modules, and may be in an electrical or other form.

The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one position, or may be distributed on multiple network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.

In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.

The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application may be substantially implemented or contributed to by the prior art, or all or part of the technical solution may be embodied in a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a removable hard disk, a magnetic or optical disk, and other various media capable of storing program codes.

The foregoing is only a preferred embodiment of the present application and it should be noted that those skilled in the art can make several improvements and modifications without departing from the principle of the present application, and these improvements and modifications should also be considered as the protection scope of the present application.

Claims (23)

1. A method of acquiring a traffic event, comprising:

acquiring a first image of a vehicle driving peripheral area;

identifying the first image, and determining whether a traffic event occurs in the area around the vehicle, wherein the traffic event is an event influencing the vehicle to pass;

in the case that a first traffic event occurs in the vehicle driving peripheral area, acquiring event information of the first traffic event, wherein the event information comprises at least one of the following: a type of the first traffic event, lane information where the first traffic event occurred.

2. The method of claim 1, wherein obtaining lane information at which the first traffic event occurred comprises:

recognizing the first image to obtain lane dividing line data of a road where the vehicle is located;

acquiring lane separation line standard data of a lane of a road where the vehicle is located based on the positioning position information of the vehicle;

and comparing the lane separation line with the lane separation line standard data to determine lane information of the first traffic event.

3. The method of claim 1, wherein obtaining lane information where the first traffic event occurred comprises:

acquiring lane information of a current driving lane of the vehicle;

recognizing the first image to acquire the relative position relation between the lane where the first traffic event occurs and the current driving lane of the vehicle;

and determining lane information of the first traffic event based on the lane information of the current driving lane of the vehicle and the relative position relation.

4. The method of claim 1, wherein identifying the first image, determining whether a traffic event occurred in the vehicle driving perimeter area comprises:

identifying the first image, and determining a target object contained in the first image;

performing feature extraction on the target object to obtain feature information of the target object;

and determining whether a traffic event occurs in the vehicle driving peripheral area or not based on the characteristic information of the target object.

5. The method of claim 4, wherein determining whether a traffic event occurs in the vehicle-driving peripheral area based on the characteristic information of the target object comprises:

comparing the characteristic information of the target object with the characteristic information of a preset traffic incident;

if the matching of the characteristic information of the target object and the preset characteristic information fails, determining that no traffic incident occurs in the vehicle driving peripheral area;

and if the characteristic information of the target object is successfully matched with the characteristic information of any traffic event, determining that a first traffic event of which the type is the same as that of the matched traffic event occurs in the vehicle driving surrounding area.

6. The method of claim 1, wherein the event information further comprises: the longitude and latitude position information of the first traffic event and the first image are determined based on the positioning position information of the vehicle and the relative position relationship between the lane of the first traffic event and the current driving lane of the vehicle.

7. The method of any of claims 1-6, wherein after obtaining event information for the first traffic event, the method further comprises:

and sending the event information to a server, wherein the server is used for comparing the event information of the first traffic event with other event information, judging whether the first traffic event is a newly generated traffic event, and synchronizing the event information of the first traffic event to other navigation terminals if the first traffic event is the newly generated traffic event.

8. The method of any of claims 1 to 6, wherein after receiving the server-synchronized event information for the second traffic event, the method further comprises:

obtaining a distance between the vehicle and a location at which the second traffic event occurred;

under the condition that the distance is within a preset range, acquiring a second image of a driving peripheral area of the vehicle;

identifying the second image, and judging whether a traffic event occurs in the area around the vehicle to obtain an identification result;

and sending the identification result to a server, wherein the server is used for processing the second traffic event based on the identification result.

9. The method of claim 8, wherein obtaining a distance between the vehicle and a location at which the second traffic event occurred comprises:

and determining the distance between the vehicle and the position where the second traffic event occurs based on the positioning position information of the vehicle and the longitude and latitude position information of the position where the second traffic event occurs.

10. The method of claim 8, wherein the server is further configured to offline the second traffic event if the identification result is that the second traffic event does not occur in the vehicle driving vicinity.

11. The method of claim 8, wherein the server is further configured to compare event information of the second traffic event with event information in the second image if the recognition result is that the second traffic event occurs in the vehicle driving peripheral area; wherein the second traffic event is retained if the event information for the second traffic event is the same as the event information in the second image; updating the event information of the second traffic event to the event information in the second image if the event information of the second traffic event is different from the event information in the second image.

12. A method of acquiring a traffic event, comprising:

displaying a first image of a vehicle driving peripheral area on an interactive interface of the vehicle;

identifying the first image, and marking an event image of a first traffic event occurring in the area around the vehicle driving on the interactive interface, wherein the first traffic event is an event influencing the vehicle to pass;

displaying event information for the first traffic event on the interactive interface, wherein the event information includes at least one of: a type of the first traffic event, lane information where the first traffic event occurred.

13. The method of claim 12, wherein the method further comprises:

recognizing the event image to obtain lane separation line data of a road where the vehicle is located;

acquiring lane separation line standard data of a lane of a road where the vehicle is located based on the positioning position information of the vehicle;

and comparing the lane separation line with the lane separation line standard data to determine lane information of the first traffic event.

14. The method of claim 12, wherein the method further comprises:

acquiring lane information of a current driving lane of the vehicle;

recognizing the event image to acquire the relative position relation between the lane where the first traffic event occurs and the current driving lane of the vehicle;

and determining lane information of the first traffic event based on the lane information of the current driving lane of the vehicle and the relative position relation.

15. A method of acquiring a traffic event, comprising:

if a first traffic event is detected to occur in a driving peripheral area of a vehicle, capturing a first image of the driving peripheral area of the vehicle, wherein the first traffic event is an event influencing the vehicle to pass;

identifying the first image, and acquiring an event image of the first traffic event;

obtaining event information of the first traffic event, wherein the event information comprises at least one of: a type of the traffic event, lane information where the first traffic event occurred.

16. The method of claim 15, wherein obtaining lane information at which the first traffic event occurred comprises:

recognizing the event image to obtain lane separation line data of a road where the vehicle is located;

acquiring lane separation line standard data of a lane of a road where the vehicle is located based on the positioning position information of the vehicle;

and comparing the lane separation line with the lane separation line standard data to determine lane information of the first traffic event.

17. The method of claim 15, wherein obtaining lane information at which the first traffic event occurred comprises:

acquiring lane information of a current driving lane of the vehicle;

recognizing the event image to acquire the relative position relation between the lane where the first traffic event occurs and the current driving lane of the vehicle;

and determining lane information of the first traffic event based on the lane information of the current driving lane of the vehicle and the relative position relation.

18. A navigation terminal, comprising:

the vision acquisition module is used for acquiring a first image of a vehicle driving peripheral area;

the event identification module is used for identifying the first image and determining whether a traffic event occurs in the area around the vehicle, wherein the traffic event is an event influencing the vehicle to pass;

the lane positioning module is used for acquiring lane information of a first traffic event when the first traffic event is determined to occur in the vehicle driving peripheral area;

the data management module is used for acquiring event information of the first traffic event, wherein the event information at least comprises at least one of: a type of the first traffic event, lane information where the first traffic event occurred.

19. The navigation terminal of claim 18, wherein the lane locating module comprises:

the image recognition module is used for recognizing the image to obtain lane separation line data of the road where the vehicle is located;

the positioning module is used for acquiring positioning position information of the vehicle;

the lane data module is used for acquiring lane separation line standard data of a lane of a road where the vehicle is located based on the positioning position information of the vehicle;

the image recognition module is further used for comparing the lane separation line with the lane separation line standard data to determine lane information of the first traffic incident.

20. The navigation terminal of claim 18, wherein the lane locating module is further configured to obtain lane information of a current driving lane of the vehicle, recognize the first image to obtain a relative position relationship between the lane where the first traffic event occurs and the current driving lane of the vehicle, and determine the lane information where the first traffic event occurs based on the lane information of the current driving lane of the vehicle and the relative position relationship.

21. A computer-readable storage medium comprising a stored program, wherein the program, when executed, controls an apparatus on which the computer-readable storage medium is located to perform the method of acquiring traffic events of any one of claims 1 to 17.

22. A mobile terminal comprising a memory and a processor for executing a program stored in the memory, wherein the program when executed performs the method of acquiring traffic events of any of claims 1 to 17.

23. A computer program product comprising computer program instructions to cause a computer to perform the method of acquiring a traffic event according to any one of claims 1 to 17.

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