CN114244613B - Data transmission method, device, system, automatic driving vehicle, electronic device and storage medium - Google Patents
Data transmission method, device, system, automatic driving vehicle, electronic device and storage medium Download PDFInfo
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Abstract
The embodiment of the disclosure provides a data transmission method, a data transmission device and an automatic driving vehicle, wherein the method comprises the following steps: the method comprises the steps of collecting driving related information when an automatic driving vehicle drives, wherein the driving related information comprises information related to the driving environment of the automatic driving vehicle and/or related information generated by each component of the automatic driving vehicle, determining the type attribute of the driving related information, wherein the type attribute is used for indicating whether the driving related information is transmitted to a cloud server or not, if the type attribute is the driving related information transmitted to the cloud server, determining the transmission mode of the driving related information, and transmitting the driving related information to the cloud server according to the transmission mode, wherein the transmission mode is one of direct transmission, transmission after fuzzy processing, real-time transmission and cache transmission, the defects that data leakage is caused by the fact that the driving related information is directly transmitted to the cloud server in the related technology and the safety of the data is low are avoided, and the technical effect of the safety of the data is improved.
Description
Technical Field
The embodiment of the disclosure relates to the technical field of automatic driving, in particular to a data transmission method and device and an automatic driving vehicle.
Background
The automatic driving scenes mainly include scenes in which an automatic driving vehicle automatically controls driving in an enclosed area, an expressway, an urban road and the like.
In the process of automatically controlling the vehicle to run, the vehicle generally needs to transmit the collected related data to a server (such as a cloud server in a cloud platform), such as face information and the like, which are recognized by the vehicle based on an obstacle recognition function.
However, if the vehicle transmits the collected related data to the server, the related data may be leaked, and the security of data transmission is low.
Disclosure of Invention
The embodiment of the disclosure provides a data transmission method and device and an automatic driving vehicle, which are used for solving the problem of low data safety.
In a first aspect, an embodiment of the present disclosure provides a data transmission method applied to an autonomous vehicle, where the method includes:
collecting driving related information of the automatic driving vehicle during driving, wherein the driving related information comprises information related to the driving environment of the automatic driving vehicle and/or related information generated by each component of the automatic driving vehicle;
determining a type attribute of the driving related information, wherein the type attribute is used for indicating whether the driving related information is transmitted to a cloud server or not;
and if the type attribute is that the driving related information is transmitted to the cloud server, determining a transmission mode of the driving related information, and transmitting the driving related information to the cloud server according to the transmission mode, wherein the transmission mode is one of direct transmission, transmission after fuzzy processing, real-time transmission and cache transmission.
In some embodiments, if the driving-related information includes information related to a driving environment of the autonomous vehicle, and the information related to the driving environment of the autonomous vehicle includes driving location information; determining a type attribute of the travel-related information, including:
acquiring preset coverage range information of transmission prohibition information, and matching the position information with the coverage range information to obtain a matching result;
and if the matching result represents that the area corresponding to the position information is within the area covered by the coverage area information, determining that the type attribute of the driving related information is used for indicating that the transmission of the driving related information is forbidden.
In some embodiments, if the driving-related information includes information related to a driving environment of the autonomous vehicle, and the information related to the driving environment of the autonomous vehicle includes obstacle information; if the transmission mode is to transmit the driving related information to the cloud server, determining the transmission mode of the driving related information, including:
determining the type of the obstacle according to the obstacle information;
if the type of the obstacle is a user, determining that the transmission mode is transmission after fuzzy processing;
and if the type of the obstacle is a non-user, determining that the transmission mode is direct transmission.
In some embodiments, determining the type attribute of the travel-related information includes:
predicting channel resource demand information for transmitting the driving related information to the cloud server, and acquiring available channel resource information provided by the cloud server;
if the available channel resource information does not reach the channel resource demand information, determining that the type attribute of the driving related information is used for indicating that the driving related information is not transmitted to the cloud server;
and if the available channel resource information reaches the channel resource demand information, determining that the type attribute of the driving related information is used for indicating to transmit the driving related information to the cloud server.
In some embodiments, if the transmission method is to transmit the driving related information to the cloud server, determining the transmission method of the driving related information includes:
determining the transmission grade of the driving related information according to a preset mapping relation, wherein the mapping relation is used for representing the corresponding relation between the driving related information and the transmission grade;
and if the transmission level is greater than a preset level threshold value, determining the transmission mode of the driving related information as direct transmission or real-time transmission.
In some embodiments, if the transmission mode is to transmit the driving related information to the cloud server, determining the transmission mode of the driving related information includes:
acquiring a storage attribute of the driving related information, wherein the storage attribute is used for indicating whether the driving related information is stored or not;
if the storage attribute of the driving related information indicates that the driving related information is not stored, determining the transmission mode of the driving related information as real-time transmission;
and if the storage attribute of the driving related information indicates that the driving related information is stored, determining a transmission mode of the driving related information as cache transmission.
In a second aspect, an embodiment of the present disclosure provides a data transmission device applied to an autonomous vehicle, where the device includes:
the system comprises a collecting unit, a processing unit and a processing unit, wherein the collecting unit is used for collecting driving related information when the automatic driving vehicle drives, and the driving related information comprises information related to the driving environment of the automatic driving vehicle and/or related information generated by each component of the automatic driving vehicle;
a first determination unit, configured to determine a type attribute of the driving-related information, where the type attribute is used to indicate whether to transmit the driving-related information to a cloud server;
a second determining unit, configured to determine a transmission mode of the driving related information if the type attribute is that the driving related information is transmitted to the cloud server;
and the transmission unit is used for transmitting the driving related information to the cloud server according to the transmission mode, wherein the transmission mode is one of direct transmission, transmission after fuzzy processing, real-time transmission and cache transmission.
In some embodiments, if the driving-related information includes information related to a driving environment of the autonomous vehicle, and the information related to the driving environment of the autonomous vehicle includes driving location information; the first determination unit includes:
the first acquiring subunit is used for acquiring the preset coverage area information of the transmission prohibition information;
the matching subunit is used for matching the position information with the coverage area information to obtain a matching result;
a first determining subunit, configured to determine that the type attribute of the driving related information is used to indicate that transmission of the driving related information is prohibited, if the matching result represents that the area corresponding to the location information is within the area covered by the coverage information.
In some embodiments, if the driving-related information includes information related to a driving environment of the autonomous vehicle, and the information related to the driving environment of the autonomous vehicle includes obstacle information; the second determination unit includes:
the second determining subunit is used for determining the type of the obstacle according to the obstacle information;
a third determining subunit, configured to determine that the transmission mode is transmission after fuzzy processing if the type of the obstacle is a user; and if the type of the obstacle is a non-user, determining that the transmission mode is direct transmission.
In some embodiments, the first determining unit includes:
the predicting subunit is used for predicting channel resource demand information for transmitting the driving related information to the cloud server;
the second acquisition subunit is used for acquiring available channel resource information provided by the cloud server;
a fourth determining subunit, configured to determine, if the available channel resource information does not reach the channel resource demand information, that the type attribute of the driving related information is used to indicate that the driving related information is not transmitted to the cloud server; and if the available channel resource information reaches the channel resource demand information, determining that the type attribute of the driving related information is used for indicating to transmit the driving related information to the cloud server.
In some embodiments, the second determining unit includes:
a fifth determining subunit, configured to determine a transmission level of the driving-related information according to a preset mapping relationship, where the mapping relationship is used to represent a correspondence between the driving-related information and the transmission level;
a sixth determining subunit, configured to determine, if the transmission level is greater than a preset level threshold, a transmission mode of the driving related information as direct transmission or real-time transmission.
In some embodiments, the second determining unit includes:
a third acquiring subunit, configured to acquire a storage attribute of the driving related information, where the storage attribute is used to indicate whether to store the driving related information;
a seventh determining subunit, configured to determine, if the storage attribute of the driving related information indicates that the driving related information is not to be stored, that the transmission mode of the driving related information is real-time transmission; and if the storage attribute of the driving related information indicates that the driving related information is stored, determining a transmission mode of the driving related information as cache transmission.
In a third aspect, an embodiment of the present disclosure provides an electronic device, including: a memory, a processor;
a memory; a memory for storing the processor-executable instructions;
wherein the processor is configured to perform the method of the first aspect.
In a fourth aspect, the present disclosure provides a computer-readable storage medium having stored therein computer-executable instructions for implementing the method according to the first aspect when executed by a processor.
In a fifth aspect, the present disclosure provides a computer program product comprising a computer program which, when executed by a processor, implements the method according to the first aspect.
In a sixth aspect, embodiments of the present disclosure provide an autonomous vehicle comprising an apparatus as described in the second aspect.
In a seventh aspect, an embodiment of the present disclosure provides a data transmission system, including:
the autonomous vehicle of the sixth aspect;
a cloud server configured to receive driving-related information transmitted by the autonomous vehicle, wherein the driving-related information is transmitted when a type attribute of the driving-related information is used to indicate transmission of the driving-related information to the cloud server.
According to the data transmission method and device and the automatic driving vehicle, after the driving related information is collected, the type attribute of the driving related information is determined firstly, namely whether the driving related information can be transmitted to the cloud server is determined, and when the driving related information can be transmitted to the cloud server, the corresponding transmission mode is determined, so that the technical means that the driving related information is transmitted to the cloud server based on the determined transmission mode is adopted, the defects that data leakage is caused when the driving related information is directly transmitted to the cloud server in the related technology and the safety of the data is low are avoided, and the technical effect of the safety of the data is improved.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present disclosure and, together with the description, serve to explain the principles of the disclosure.
Fig. 1 is a schematic diagram of a data transmission method according to one embodiment of the present disclosure;
fig. 2 is a schematic diagram of a data transmission method according to another embodiment of the present disclosure;
fig. 3 is a schematic diagram of a data transmission method according to another embodiment of the present disclosure;
FIG. 4 is a schematic diagram of a data transmission device according to one embodiment of the present disclosure;
FIG. 5 is a schematic diagram of a data transmission device according to another embodiment of the present disclosure;
FIG. 6 is a schematic diagram of a data transmission system according to an embodiment of the present disclosure;
fig. 7 is a block diagram of an electronic device of a data transmission method according to an embodiment of the present disclosure.
With the foregoing drawings in mind, certain embodiments of the disclosure have been shown and described in more detail below. These drawings and written description are not intended to limit the scope of the disclosed concepts in any way, but rather to illustrate the concepts of the disclosure to those skilled in the art by reference to specific embodiments.
Detailed Description
Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, like numbers in different drawings represent the same or similar elements unless otherwise indicated. The implementations described in the exemplary embodiments below are not intended to represent all implementations consistent with the present disclosure.
With the rapid development of scientific and technical technologies, data, both in category and quantity, show a rapid growth trend.
Illustratively, with the development of artificial intelligence technology, the automatic driving vehicle gradually replaces a traditional vehicle, and during the driving process of the automatic driving vehicle, the automatic driving vehicle can establish communication connection with a cloud server, can acquire data related to driving, and transmits the acquired data to the cloud server.
However, some data may relate to personal privacy, or public security, and the like, and if the data is transmitted or interacted based on the data, the data may be leaked, so that the security performance of the data is reduced, and personal security and public security are caused.
In order to avoid the above problems, the inventors of the present disclosure have made creative efforts to obtain the inventive concept of the present disclosure: after the automatic driving vehicle collects the driving related information, whether the driving related information is information which can be transmitted to the cloud server is determined, if so, which transmission mode is adopted to transmit the driving related information to the cloud server is further determined, so that the driving related information is transmitted to the cloud server based on the determined transmission mode.
The following describes the technical solutions of the present disclosure and how to solve the above technical problems in specific embodiments. The following several specific embodiments may be combined with each other, and details of the same or similar concepts or processes may not be repeated in some embodiments. Embodiments of the present disclosure will be described below with reference to the accompanying drawings.
According to one aspect of an embodiment of the present disclosure, the present disclosure provides a data transmission method applied to an autonomous vehicle.
Referring to fig. 1, fig. 1 is a schematic diagram of a data transmission method according to an embodiment of the disclosure.
As shown in fig. 1, the method includes:
s101: the method includes collecting driving related information when the automatic driving vehicle drives.
Wherein the driving-related information includes information related to a driving environment of the autonomous vehicle and/or related information generated by each component of the autonomous vehicle.
For example, the execution subject of the present embodiment may be a data transmission device, and the data transmission device may be a computer, a server, an on-board device, a processor, a chip, and the like, which are disposed in the autonomous vehicle, and the present embodiment is not limited thereto.
In this embodiment, the travel related information may include a single-dimensional content, or may include a plurality of-dimensional contents. For example, if the travel-related information includes a single-dimensional content, the travel-related information may include only information related to the travel environment of the autonomous vehicle, or the travel-related information may include only related information generated by each component of the autonomous vehicle.
Accordingly, if the travel-related information includes contents in a plurality of dimensions, the travel-related information may include information related to the travel environment of the autonomous vehicle, or may include information related to each component of the autonomous vehicle.
In some embodiments, the specific content of the travel-related information may be determined based on the travel scene of the autonomous vehicle, or may be determined based on demand, history, and experiments.
Taking the specific content of the travel-related information determined based on the travel scene of the autonomous vehicle as an example, the following description is exemplarily made:
the driving scenes of the automatic driving vehicle mainly include scenes of the automatic driving vehicle in automatically controlled driving in a closed area, an expressway, an urban road and the like, the closed area generally refers to a preset control area, and the control area refers to an area with severe data control.
As in the scenario of the automatic control travel of the regulation area, the travel-related information includes only the related information generated individually by each component of the autonomous vehicle, and does not include information related to the travel environment of the autonomous vehicle. That is, within the regulatory domain, the autonomous vehicle may not collect information related to the driving environment of the autonomous vehicle.
It should be noted that the driving scene of the autonomous driving vehicle may be divided based on a region type, a region plan, a position of the region (such as longitude and latitude coordinates), and the like, which is not limited in this embodiment.
S102: a type attribute of the travel related information is determined.
The type attribute is used for indicating whether driving related information is transmitted to the cloud server or not.
In connection with the above analysis, this step can be understood as:
if the travel-related information includes information related to the travel environment of the autonomous vehicle, a type attribute of the information related to the travel environment of the autonomous vehicle is determined, that is, it is determined whether the information related to the travel environment of the autonomous vehicle can be transmitted to the cloud server.
If the driving related information comprises the related information generated by each component of the automatic driving vehicle, determining the type attribute of the related information generated by each component of the automatic driving vehicle, namely determining whether the related information generated by each component of the automatic driving vehicle can be transmitted to the cloud server.
If the driving-related information includes both information related to the driving environment of the autonomous vehicle and related information generated by each component of the autonomous vehicle, it is determined whether the information of the two dimensions can be transmitted to the cloud server, that is, it is determined whether the information related to the driving environment of the autonomous vehicle can be transmitted to the cloud server, and it is determined whether the related information generated by each component of the autonomous vehicle can be transmitted to the cloud server.
S103: and if the type attribute is that the driving related information is transmitted to the cloud server, determining a transmission mode of the driving related information, and transmitting the driving related information to the cloud server according to the transmission mode.
The transmission mode is one of direct transmission, transmission after fuzzy processing, real-time transmission and cache transmission.
For example, in this embodiment, after it is determined that the driving-related information is information that can be transmitted to the cloud server, a mode is selected from direct transmission, transmission after fuzzy processing, real-time transmission, and cache transmission, and the driving-related information is transmitted to the cloud server according to the selected mode.
Based on the above analysis, the embodiment of the present disclosure provides a data transmission method, which is applied to an autonomous vehicle, and the method includes: collecting driving related information when an autonomous vehicle drives, wherein the driving related information includes information related to a driving environment of the autonomous vehicle, and/or related information generated by each component of the autonomous vehicle, and determining a type attribute of the driving related information, wherein the type attribute is used for indicating whether to transmit the driving related information to a cloud server, and if the type attribute is to transmit the driving related information to the cloud server, determining a transmission mode of the driving related information, and transmitting the driving related information to the cloud server according to the transmission mode, wherein the transmission mode is one of direct transmission, transmission after fuzzy processing, real-time transmission, and cache transmission, and in this embodiment, the method includes: after the driving related information is collected, the type attribute of the driving related information is firstly determined, namely whether the driving related information can be transmitted to the cloud server is determined, and when the driving related information can be transmitted to the cloud server, the corresponding transmission mode is determined, the technical characteristics that the driving related information is transmitted to the cloud server based on the determined transmission mode are adopted, the data leakage caused by the fact that the driving related information is directly transmitted to the cloud server in the related technology is avoided, the data safety is low, and the technical effect of the data safety is improved.
Referring to fig. 2, fig. 2 is a schematic diagram of a data transmission method according to another embodiment of the disclosure.
As shown in fig. 2, the method includes:
s201: and collecting driving related information when the automatic driving vehicle drives.
Wherein the travel-related information includes information related to a travel environment of the autonomous vehicle, and the information related to the travel environment of the autonomous vehicle includes travel position information.
It should be noted that, regarding the technical features of the present embodiment that are the same as those of the above embodiments, the present embodiment is not described again.
Based on the above analysis, the driving-related information may include information related to the driving environment of the autonomous vehicle and/or related information generated by each component of the autonomous vehicle, and in the present embodiment, the driving-related information includes information related to the driving environment of the autonomous vehicle.
In some embodiments, sensors are provided on the autonomous vehicle, and the driving position information is determined based on sensor data collected by the sensors.
For example, the sensor may be an image collector, such as a camera, the sensor may also be a radar, the sensor may also be a Positioning device, such as a Global Positioning System (GPS), and the like, which are not listed here.
S202: and acquiring preset coverage range information of the transmission prohibition information, and matching the position information with the coverage range information to obtain a matching result.
In some embodiments, the coverage information may be set based on demand.
With reference to the foregoing embodiment, the regulated area may be an area where transmission of information is prohibited, and correspondingly, the range covered by the regulated area may be a coverage area where transmission of information is prohibited, that is, the coverage area information includes a range covered by the regulated area.
This step can be understood as: and comparing the position information with the coverage area information to determine the relationship between the position information and the coverage area information so as to obtain a matching result.
S203: and if the matching result represents that the area corresponding to the position information is in the area covered by the coverage area information, determining that the type attribute of the driving related information is used for indicating that the transmission of the driving related information is forbidden.
It is understood that the matching result may include the following cases:
case 1: the coverage information includes location information, i.e., the area corresponding to the location information is a certain portion of the area corresponding to the coverage information.
Case 2: the area corresponding to the coverage information and the area corresponding to the position information have an area partially overlapping.
Case 3: the area corresponding to the coverage information and the area corresponding to the position information are two completely independent areas, namely, the intersection of the areas does not exist between the two areas.
If the matching result is case 1 of the above cases, it is determined that the type attribute of the travel-related information is for indicating that transmission of the travel-related information is prohibited.
In other embodiments, if the matching result is case 2 of the above cases, the type attribute of the travel-related information may be determined to be an attribute for indicating that transmission of the travel-related information is prohibited, in view of ensuring safety of data as much as possible.
In still other embodiments, if the matching result is case 3 of the above cases, it may be determined that the type attribute of the driving related information is that the driving related information may be transmitted to the cloud server.
S204: and according to the type attribute used for indicating that the transmission of the driving related information is forbidden, not transmitting the driving related information to the cloud server.
In other embodiments, if the matching result is case 3 of the above cases, the driving related information is transmitted to the cloud server.
It should be noted that, in this embodiment, by combining the matching result between the coverage area information of the transmission prohibition information and the location information, the type attribute for indicating that the transmission of the driving related information is prohibited is determined, so as to avoid data leakage and achieve the technical effect of improving data security.
Based on the above analysis, in some embodiments, the type attribute of the driving-related information may be determined in combination with the position information of the autonomous vehicle, that is, whether to transmit the driving-related information to the cloud server, and in other embodiments, the type attribute of the driving-related information may be determined in combination with the channel resource.
For example, determining the type attribute of the driving-related information in conjunction with the channel resource may include the steps of:
the first step is as follows: and predicting channel resource demand information for transmitting the driving related information to the cloud server, and acquiring available channel resource information provided by the cloud server.
For example, the channel resource demand information may be predicted according to the data amount of the driving-related information, that is, the information of the channel resource required for the autonomous vehicle to transmit the driving-related information to the cloud server.
The available channel resource information refers to channel resources that can be used to transmit data.
The second step is as follows: and if the available channel resource information does not reach the channel resource demand information, determining that the type attribute of the driving related information is used for indicating that the driving related information is not transmitted to the cloud server.
The third step: and if the available channel resource information reaches the channel resource demand information, determining that the type attribute of the driving related information is used for indicating the transmission of the driving related information to the cloud server.
For example, the available channel resource information may be compared with the channel resource demand information to determine whether the resource represented by the available channel resource information is greater than or equal to the resource represented by the channel resource demand information, if so (i.e., the resource represented by the channel resource information is greater than or equal to the resource represented by the channel resource demand information), it is indicated that the autonomous vehicle is based on the available channel resource information, the travel-related information may be relatively smoothly transmitted to the cloud server, and it is determined that the type attribute of the travel-related information is used to instruct the cloud server to transmit the travel-related information; if not (i.e., the resources represented by the available channel resource information are less than the resources represented by the channel resource demand information), it is indicated that the autonomous driving vehicle cannot transmit the driving related information to the cloud server based on the available channel resource information, and it is determined that the type attribute of the driving related information is used for indicating that the driving related information is not transmitted to the cloud server.
It should be noted that, in this embodiment, whether to transmit the driving related information to the cloud server is determined by combining the available channel resource information and the channel resource demand information, so that the effectiveness and reliability of data transmission can be achieved, transmission congestion is avoided, and the technical effect of improving the data transmission efficiency is achieved.
Referring to fig. 3, fig. 3 is a schematic diagram of a data transmission method according to another embodiment of the disclosure.
As shown in fig. 3, the method includes:
s301: and collecting driving related information when the automatic driving vehicle drives.
Wherein the travel-related information includes information related to a travel environment of the autonomous vehicle, and the information related to the travel environment of the autonomous vehicle includes travel position information.
Similarly, the technical features of this embodiment that are the same as those of the above embodiment will not be described again.
S302: a type attribute of the travel-related information is determined.
The type attribute is used for indicating whether the driving related information is transmitted to the cloud server or not.
The travel-related information includes information related to a travel environment of the autonomous vehicle, and the information related to the travel environment of the autonomous vehicle includes obstacle information.
Based on the analysis, the automatic driving vehicle is provided with a sensor, and the driving position information is determined according to the sensor data collected by the sensor.
Accordingly, in this embodiment, the obstacle information may also be determined according to the sensor data collected by the sensor.
For example, if the sensor is a camera, obstacle information in the image, such as a pedestrian or a sign, may be determined based on the image captured by the camera.
S303: and if the transmission mode is to transmit the driving related information to the cloud server, determining the type of the obstacle according to the obstacle information.
S304: and if the type of the obstacle is the user, determining that the transmission mode is the transmission after fuzzy processing.
S305: and if the type of the obstacle is the non-user, determining that the transmission mode is direct transmission.
In combination with the above analysis, after the obstacle information is determined, the type of the obstacle may be determined based on the obstacle information, and generally, based on whether the obstacle is a user, the obstacle may be classified into two types, one type being a user and one type being a non-user.
The user may be a pedestrian or a rider. The non-user can be other vehicles, and can also be fixed objects arranged on the road side, such as signs and the like.
In this embodiment, if the type of the obstacle is the user, for example, the obstacle is a pedestrian, it is determined that the transmission mode is the transmission after the blurring process, for example, before the autonomous driving vehicle transmits the driving related information (for example, an image of the user), the image of the user is blurred to obtain a blurred user image, and the blurred user image is transmitted to the cloud server.
For another example, if the type of the obstacle is a non-user, if the obstacle is a sign, the transmission mode is determined to be direct transmission, and if the autonomous vehicle directly transmits driving related information (such as an image of the sign) to the cloud server.
S306: and transmitting the driving related information to a cloud server according to the determined transmission mode.
It should be noted that, in this embodiment, the corresponding driving related information is transmitted by adopting different transmission modes according to the type of the obstacle, so that the flexibility and diversity of data transmission are realized, and the technical effect of data security is ensured.
Based on the above analysis, in some embodiments, the transmission mode for transmitting the driving related information may be determined according to the type of the obstacle, so as to transmit the driving related information of the obstacles of different types based on different transmission modes, and in other embodiments, the transmission mode for transmitting the driving related information may be determined according to the transmission level, so as to transmit the driving related information of different transmission levels based on different transmission modes.
For example, determining the transmission mode for transmitting the driving related information in combination with the transmission level may include the steps of:
the first step is as follows: and determining the transmission grade of the driving related information according to a preset mapping relation.
The mapping relation is used for representing the corresponding relation between the driving related information and the transmission level.
The second step is as follows: and if the transmission level is greater than the preset level threshold value, determining the transmission mode of the driving related information as direct transmission or real-time transmission.
The level threshold may be set based on a demand, a history, a test, and the like, which is not limited in this embodiment.
This embodiment can be understood as: and comparing the transmission grade with a grade threshold value to judge the size between the transmission grade and the grade threshold value, and if the transmission is equal to or greater than the grade threshold value, determining the transmission mode of the driving related information as direct transmission or real-time transmission to improve the technical effects of the efficiency and effectiveness of data transmission.
In still other embodiments, the transmission mode for transmitting the driving related information may be determined in combination with the storage attribute, so as to transmit the driving related information with different storage attributes based on different transmission modes.
For example, determining the transmission mode for transmitting the driving related information in combination with the storage attribute may include the steps of:
the first step is as follows: a storage attribute of the travel-related information is acquired, the storage attribute being used to indicate whether the travel-related information is stored.
The second step is as follows: and if the storage attribute of the driving related information indicates that the driving related information is not stored, determining the transmission mode of the driving related information as real-time transmission.
The third step: if the storage attribute of the travel related information is an instruction to store the travel related information, the transmission mode of the travel-related information is determined as a buffered transmission.
For example, some pieces of travel-related information need to be stored, and some pieces of travel-related information need not be stored but can be directly transmitted, and therefore, the storage attribute of the travel-related information is classified into travel-related information that does not need to be stored and travel-related information that needs to be stored, depending on whether or not the travel-related information needs to be stored.
The driving related information to be stored can be determined as cache transmission according to the transmission mode for transmitting the driving related information, namely, the driving related information is cached firstly, and the driving related information is transmitted to the cloud server after the cache.
For the driving related information which does not need to be stored, the transmission mode for transmitting the driving related information can be determined to be real-time transmission, and the acquired driving related information is directly transmitted to the cloud server.
In this embodiment, the driving related information is transmitted to the cloud server in a real-time transmission or cache transmission mode, so that the technical effects of flexibility and diversity of data transmission can be achieved.
It should be noted that, the features in the above embodiments may be combined with each other to obtain a new embodiment, for example, the relevant features for determining the type attribute of the driving relevant information and the relevant features for determining the transmission mode may be combined with each other to obtain a new embodiment, and the implementation principle of the new embodiment may be referred to the above embodiments, which is not illustrated and described herein.
According to another aspect of the disclosed embodiment, the disclosed embodiment also provides a data transmission device applied to an automatic driving vehicle.
Referring to fig. 4, fig. 4 is a schematic diagram of a data transmission device according to an embodiment of the disclosure.
As shown in fig. 4, the data transmission apparatus 400 includes:
the collecting unit 401 is configured to collect driving related information of the autonomous vehicle during driving, where the driving related information includes information related to a driving environment of the autonomous vehicle and/or related information generated by each component of the autonomous vehicle.
A first determining unit 402, configured to determine a type attribute of the driving related information, where the type attribute is used to indicate whether to transmit the driving related information to a cloud server.
A second determining unit 403, configured to determine a transmission manner of the driving related information if the type attribute is that the driving related information is transmitted to the cloud server.
The transmission unit 404 is configured to transmit the driving related information to the cloud server according to the transmission mode, where the transmission mode is one of direct transmission, transmission after fuzzy processing, real-time transmission, and cache transmission.
Referring to fig. 5, fig. 5 is a schematic diagram of a data transmission device according to another embodiment of the disclosure.
As shown in fig. 5, the data transmission apparatus 500 includes:
the collecting unit 501 is configured to collect driving related information of the autonomous vehicle during driving, where the driving related information includes information related to a driving environment of the autonomous vehicle and/or related information generated by each component of the autonomous vehicle.
A first determining unit 502, configured to determine a type attribute of the driving-related information, where the type attribute is used to indicate whether to transmit the driving-related information to a cloud server.
In some embodiments, if the driving-related information includes information related to a driving environment of the autonomous vehicle, and the information related to the driving environment of the autonomous vehicle includes driving location information; as can be seen from fig. 5, the first determining unit 502 includes:
the first obtaining subunit 5021 is configured to obtain coverage information of the preset transmission prohibition information.
A matching subunit 5022, configured to match the location information with the coverage information to obtain a matching result.
A first determining subunit 5023, configured to determine that the type attribute of the driving related information is used to indicate that transmission of the driving related information is prohibited if the matching result represents that the area corresponding to the location information is within the area covered by the coverage area information.
As can be seen in fig. 5, in some embodiments, the first determining unit 502 may further include:
a predicting sub-unit 5024, configured to predict channel resource demand information for transmitting the driving related information to the cloud server.
A second obtaining subunit 5025, configured to obtain available channel resource information provided by the cloud server.
A fourth determining subunit 5026, configured to determine that the type attribute of the driving related information is used to indicate that the driving related information is not transmitted to the cloud server if the available channel resource information does not reach the channel resource demand information; and if the available channel resource information reaches the channel resource demand information, determining that the type attribute of the driving related information is used for indicating to transmit the driving related information to the cloud server.
A second determining unit 503, configured to determine a transmission mode of the driving related information if the type attribute is that the driving related information is transmitted to the cloud server.
In some embodiments, if the driving-related information includes information related to a driving environment of the autonomous vehicle, and the information related to the driving environment of the autonomous vehicle includes obstacle information; the second determining unit 503 includes:
a second determining subunit 5031, configured to determine the category of the obstacle according to the obstacle information.
A third determining subunit 5032, configured to determine, if the type of the obstacle is the user, that the transmission manner is transmission after the fuzzy processing; and if the type of the obstacle is a non-user, determining that the transmission mode is direct transmission.
As can be seen in fig. 5, in some embodiments, the second determining unit 503 may further include:
a fifth determining sub-unit 5033, configured to determine the transmission level of the driving related information according to a preset mapping relationship, where the mapping relationship is used to represent a corresponding relationship between the driving related information and the transmission level.
A sixth determining sub-unit 5034, configured to determine, if the transmission level is greater than a preset level threshold, that the transmission mode of the driving related information is direct transmission or real-time transmission.
As can be seen in fig. 5, in some embodiments, the second determining unit 503 may further include:
a third obtaining sub-unit 5035 configured to obtain a storage attribute of the travel-related information, the storage attribute being used to indicate whether to store the travel-related information.
A seventh determining sub-unit 5036, configured to determine, if the storage attribute of the driving-related information indicates that the driving-related information is not stored, that the transmission mode of the driving-related information is real-time transmission; and if the storage attribute of the driving related information indicates that the driving related information is stored, determining a transmission mode of the driving related information as cache transmission.
The transmission unit 504 is configured to transmit the driving related information to the cloud server according to the transmission mode, where the transmission mode is one of direct transmission, transmission after fuzzy processing, real-time transmission, and cache transmission.
According to another aspect of the disclosed embodiment, the disclosed embodiment also provides an automatic driving vehicle, and the automatic driving vehicle comprises the data transmission device according to any one of the above embodiments. For example, a data transmission device as shown in fig. 4 or fig. 5 is included.
In some embodiments, the autonomous vehicle further comprises a sensor, wherein,
the sensor is used for collecting driving related information when the automatic driving vehicle drives.
In conjunction with the above analysis, the sensor may include an image capture device (e.g., a camera, etc.), a radar, a positioning system, and so on.
According to another aspect of the embodiment of the present disclosure, a data transmission system is also provided in the embodiment of the present disclosure.
Referring to fig. 6, fig. 6 is a schematic diagram of a data transmission system according to an embodiment of the disclosure.
As shown in fig. 6, the system includes an autonomous vehicle 601 and a cloud server 602.
For the implementation principle of whether the autonomous driving vehicle 601 transmits data (the driving related information in the above embodiment) to the cloud server 602 and what transmission method the autonomous driving vehicle 601 adopts to transmit data to the cloud server 602, reference may be made to the above embodiment, which is not described herein again.
The present disclosure also provides an electronic device and a readable storage medium according to an embodiment of the present disclosure.
According to an embodiment of the present disclosure, the present disclosure also provides a computer program product comprising: a computer program, stored in a readable storage medium, from which at least one processor of the electronic device can read the computer program, the at least one processor executing the computer program causing the electronic device to perform the solution provided by any of the embodiments described above.
As shown in fig. 7, is a block diagram of an electronic device of a data transmission method according to an embodiment of the present disclosure. Electronic devices are intended to represent various forms of digital computers, such as laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframes, and other appropriate computers. The electronic device may also represent various forms of mobile devices, such as personal digital processing, cellular phones, smart phones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions, are meant to be examples only, and are not intended to limit implementations of the disclosure described and/or claimed herein.
As shown in fig. 7, the electronic apparatus includes: one or more processors 701, a memory 702, and interfaces for connecting the various components, including a high-speed interface and a low-speed interface. The various components are interconnected using different buses and may be mounted on a common motherboard or in other manners as desired. The processor may process instructions for execution within the electronic device, including instructions stored in or on the memory to display graphical information of a GUI on an external input/output apparatus (such as a display device coupled to the interface). In other embodiments, multiple processors and/or multiple buses may be used, along with multiple memories and multiple memories, as desired. Also, multiple electronic devices may be connected, with each device providing some of the necessary operations (e.g., as an array of servers, a group of blade servers, or a multi-processor system). In fig. 7, one processor 701 is taken as an example.
The memory 702 is a non-transitory computer readable storage medium provided by the present disclosure. Wherein the memory stores instructions executable by at least one processor to cause the at least one processor to perform the data transmission methods provided by the present disclosure. The non-transitory computer-readable storage medium of the present disclosure stores computer instructions for causing a computer to execute the data transmission method provided by the present disclosure.
The memory 702, which is a non-transitory computer readable storage medium, may be used to store non-transitory software programs, non-transitory computer executable programs, and modules, such as program instructions/modules corresponding to the data transmission methods in the embodiments of the present disclosure. The processor 701 executes various functional applications of the server and data processing by executing non-transitory software programs, instructions, and modules stored in the memory 702, that is, implements the data transmission method in the above-described method embodiment.
The memory 702 may include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function; the storage data area may store data created according to use of the electronic device of the data transmission method, and the like. Further, the memory 702 may include high-speed random access memory, and may also include non-transitory memory, such as at least one magnetic disk storage device, flash memory device, or other non-transitory solid state storage device. In some embodiments, the memory 702 may optionally include memory located remotely from the processor 701, which may be connected to the data transfer method electronics over 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 electronic device of the data transmission method may further include: an input device 703 and an output device 704. The processor 701, the memory 702, the input device 703 and the output device 704 may be connected by a bus or other means, as exemplified by a bus connection in fig. 7.
The input device 703 may receive input numeric or character information and generate key signal inputs related to user settings and function control of the electronic device of the data transmission method, such as a touch screen, a keypad, a mouse, a track pad, a touch pad, a pointing stick, one or more mouse buttons, a track ball, a joystick, or other input devices. The output devices 704 may include a display device, auxiliary lighting devices (e.g., LEDs), and tactile feedback devices (e.g., vibrating motors), among others. The display device may include, but is not limited to, a Liquid Crystal Display (LCD), a Light Emitting Diode (LED) display, and a plasma display. In some implementations, the display device can be a touch screen.
Various implementations of the systems and techniques described here can be realized in digital electronic circuitry, integrated circuitry, application specific ASICs (application specific integrated circuits), computer hardware, firmware, software, and/or combinations thereof. These various embodiments may include: implemented in one or more computer programs that are executable and/or interpretable on a programmable system including at least one programmable processor, which may be special or general purpose, receiving data and instructions from, and transmitting data and instructions to, a storage system, at least one input device, and at least one output device.
These computer programs (also known as programs, software applications, or code) include machine instructions for a programmable processor, and may be implemented using high-level procedural and/or object-oriented programming languages, and/or assembly/machine languages. As used herein, the terms "machine-readable medium" and "computer-readable medium" refer to any computer program product, apparatus, and/or device (e.g., magnetic discs, optical disks, memory, programmable Logic Devices (PLDs)) used to provide machine instructions and/or data to a programmable processor, including a machine-readable medium that receives machine instructions as a machine-readable signal. The term "machine-readable signal" refers to any signal used to provide machine instructions and/or data to a programmable processor.
To provide for interaction with a user, the systems and techniques described here can be implemented on a computer having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to a user; and a keyboard and a pointing device (e.g., a mouse or a trackball) by which a user can provide input to the computer. Other kinds of devices may also be used to provide for interaction with a user; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form, including acoustic, speech, or tactile input.
The systems and techniques described here can be implemented in a computing system that includes a back-end component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front-end component (e.g., a user computer having a graphical user interface or a web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such back-end, middleware, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: local Area Networks (LANs), wide Area Networks (WANs), and the Internet.
The computer system may include clients and servers. A client and server are generally remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other.
Other embodiments of the disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the invention disclosed herein. This disclosure is intended to cover any variations, uses, or adaptations of the disclosure following, in general, the principles of the disclosure and including such departures from the present disclosure as come within known or customary practice in the art to which the disclosure pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the disclosure being indicated by the following claims.
It will be understood that the present disclosure is not limited to the precise arrangements that have been described above and shown in the drawings, and that various modifications and changes may be made without departing from the scope thereof. The scope of the present disclosure is limited only by the appended claims.
Claims (9)
1. A data transmission method for use with an autonomous vehicle, the method comprising:
collecting driving related information of the automatic driving vehicle during driving, wherein the driving related information comprises information related to the driving environment of the automatic driving vehicle and/or related information generated by each component of the automatic driving vehicle;
determining a type attribute of the driving-related information, wherein the type attribute is used for indicating whether the driving-related information is transmitted to a cloud server;
if the type attribute is that the driving related information is transmitted to the cloud server, determining a transmission mode of the driving related information, and transmitting the driving related information to the cloud server according to the transmission mode, wherein the transmission mode is one of direct transmission, transmission after fuzzy processing, real-time transmission and cache transmission;
if the driving-related information includes information related to a driving environment of the autonomous vehicle, and the information related to the driving environment of the autonomous vehicle includes driving location information; determining a type attribute of the travel-related information, including:
acquiring preset coverage area information of transmission prohibition information, and matching the position information with the coverage area information to obtain a matching result;
if the matching result represents that the area corresponding to the position information is in the area covered by the coverage area information, determining that the type attribute of the driving related information is used for indicating that the transmission of the driving related information is forbidden;
if the matching result represents that the area corresponding to the coverage area information and the area corresponding to the position information are two completely independent areas, determining that the type attribute of the driving related information is that the driving related information can be transmitted to a cloud server;
the collecting of the driving related information when the automatic driving vehicle drives comprises:
acquiring a driving scene of the automatic driving vehicle, wherein the driving scene comprises a general driving scene and a preset region which is strict in data management and control, and the driving scene at least comprises: closed areas, highways and urban roads;
acquiring running related information of the automatic driving vehicle according to the running scene;
if the driving scene is a preset region with strict data management and control, collecting relevant information generated by each component of the automatic driving vehicle;
determining a type attribute of the travel-related information, including:
predicting channel resource demand information for transmitting the driving related information to the cloud server, and acquiring available channel resource information provided by the cloud server;
if the available channel resource information does not reach the channel resource demand information, determining that the type attribute of the driving related information is used for indicating that the driving related information is not transmitted to the cloud server;
and if the available channel resource information reaches the channel resource demand information, determining that the type attribute of the driving related information is used for indicating to transmit the driving related information to the cloud server.
2. The method of claim 1, wherein if the driving-related information includes information related to a driving environment of the autonomous vehicle, and the information related to the driving environment of the autonomous vehicle includes obstacle information; if the transmission mode is to transmit the driving related information to the cloud server, determining the transmission mode of the driving related information, including:
determining the type of the obstacle according to the obstacle information;
if the type of the obstacle is a user, determining that the transmission mode is fuzzy processing transmission;
and if the type of the obstacle is a non-user, determining that the transmission mode is direct transmission.
3. The method according to claim 1 or 2, wherein determining the transmission mode of the driving-related information if the transmission mode is to transmit the driving-related information to the cloud server comprises:
determining the transmission grade of the driving related information according to a preset mapping relation, wherein the mapping relation is used for representing the corresponding relation between the driving related information and the transmission grade;
and if the transmission level is greater than a preset level threshold value, determining the transmission mode of the driving related information as direct transmission or real-time transmission.
4. The method according to any one of claims 1 to 3, wherein determining the transmission mode of the driving-related information if the transmission mode is to transmit the driving-related information to the cloud server comprises:
acquiring a storage attribute of the driving related information, wherein the storage attribute is used for indicating whether the driving related information is stored or not;
if the storage attribute of the driving related information indicates that the driving related information is not stored, determining the transmission mode of the driving related information as real-time transmission;
and if the storage attribute of the driving related information indicates that the driving related information is stored, determining a transmission mode of the driving related information as cache transmission.
5. A data transmission device for use with an autonomous vehicle, the device comprising:
the system comprises a collecting unit, a judging unit and a display unit, wherein the collecting unit is used for collecting driving related information when the automatic driving vehicle drives, and the driving related information comprises information related to the driving environment of the automatic driving vehicle and/or related information generated by each component of the automatic driving vehicle;
a first determination unit, configured to determine a type attribute of the driving-related information, where the type attribute is used to indicate whether to transmit the driving-related information to a cloud server;
a second determining unit, configured to determine a transmission mode of the driving related information if the type attribute is that the driving related information is transmitted to the cloud server;
the transmission unit is used for transmitting the driving related information to the cloud server according to the transmission mode, wherein the transmission mode is one of direct transmission, transmission after fuzzy processing, real-time transmission and cache transmission;
the first determination unit is further configured to determine whether the driving related information includes information related to a driving environment of the autonomous vehicle, and the information related to the driving environment of the autonomous vehicle includes driving position information; acquiring preset coverage range information of transmission prohibition information, and matching the position information with the coverage range information to obtain a matching result; if the matching result represents that the area corresponding to the position information is in the area covered by the coverage area information, determining that the type attribute of the driving related information is used for indicating that the transmission of the driving related information is forbidden; if the matching result represents that the area corresponding to the coverage area information and the area corresponding to the position information are two completely independent areas, determining that the type attribute of the driving related information is that the driving related information can be transmitted to a cloud server;
the first determination unit is used for acquiring a running scene of the automatic driving vehicle; acquiring running related information of the automatic driving vehicle according to the running scene; if the driving scene is a preset region with strict data management and control, acquiring relevant information generated by each component of the automatic driving vehicle, wherein the driving scene comprises a general driving scene and a preset region with strict data management and control, and the driving scene at least comprises: enclosed areas, highways and urban roads;
the first determining unit is further configured to predict channel resource demand information for transmitting the driving related information to the cloud server, and acquire available channel resource information provided by the cloud server; if the available channel resource information does not reach the channel resource demand information, determining that the type attribute of the driving related information is used for indicating that the driving related information is not transmitted to the cloud server; and if the available channel resource information reaches the channel resource demand information, determining that the type attribute of the driving related information is used for indicating to transmit the driving related information to the cloud server.
6. An electronic device, comprising: a memory, a processor;
a memory for storing the processor-executable instructions;
wherein the processor is configured to perform the method of any one of claims 1 to 5.
7. A computer readable storage medium having stored therein computer executable instructions for implementing the method of any one of claims 1 to 4 when executed by a processor.
8. An autonomous vehicle comprising the apparatus of claim 5.
9. A data transmission system comprising:
the autonomous vehicle of claim 8;
a cloud server configured to receive driving-related information transmitted by the autonomous vehicle, wherein the driving-related information is transmitted when a type attribute of the driving-related information is used to indicate transmission of the driving-related information to the cloud server.
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| CN112611389A (en) * | 2020-12-21 | 2021-04-06 | 北京世纪高通科技有限公司 | Region identification method and device and storage medium |
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