CN113515584A - Local map data distribution method, device, electronic equipment and medium - Google Patents
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Abstract
The embodiment of the disclosure discloses a local map data distribution method, a local map data distribution device, electronic equipment and a medium. One embodiment of the method comprises: extracting map data from a map database as initial map data; performing data structure conversion on the initial map data to generate target map data; storing the target map data to a cache layer; and in response to determining that the target map data in the cache layer meets the data distribution condition, distributing the traveling path information corresponding to the target map data in the cache layer to the target client. According to the embodiment, the complexity of the whole system can be reduced, and the running safety of the vehicle can be improved.
Description
Technical Field
The embodiment of the disclosure relates to the technical field of computers, in particular to a local map data distribution method, a local map data distribution device, electronic equipment and a local map data distribution medium.
Background
With the development of vehicle navigation technology, map data can be used not only for route planning, but also for other applications within the vehicle (e.g., safety programs such as vehicle light control, enhanced cruise control, etc.). At present, when map data service is provided for a vehicle, a high-precision map data service is provided for the outside through an EHP (Electronic Horizon) by using an advanced driving assistance system data transmission protocol.
However, when the map data is distributed in the above manner, there are often technical problems as follows:
first, the EHP service is often established on the basis of high-precision positioning, so that a high-precision map and the high-precision positioning have a coupling relationship, thereby increasing the complexity of the whole system and reducing the safety of vehicle driving.
Secondly, the data loss rate of the data is too high due to the fact that the communication rate of the data between the server and the client is difficult to control, and the data quality provided for the client is further affected.
Disclosure of Invention
This summary is provided to introduce a selection of concepts in a simplified form that are further described below in the detailed description. This summary is not intended to identify key features or essential features of the claimed subject matter, nor is it intended to be used to limit the scope of the claimed subject matter. Some embodiments of the present disclosure propose a local map data distribution method, apparatus, electronic device, and medium to solve one or more of the technical problems mentioned in the background section above.
In a first aspect, some embodiments of the present disclosure provide a local map data distribution method, including: extracting map data from a map database as initial map data; performing data structure conversion on the initial map data to generate target map data; storing the target map data to a cache layer; and in response to the fact that the target map data in the cache layer meet the data distribution condition, distributing the traveling path information corresponding to the target map data in the cache layer to the target client.
In a second aspect, some embodiments of the present disclosure provide a partial map data distribution apparatus, the apparatus including: an extraction unit configured to extract map data from a map database as initial map data; a data structure conversion unit configured to perform data structure conversion on the initial map data to generate target map data; a storage unit configured to store the target map data to a cache layer; and the distribution unit is configured to distribute the traveling path information corresponding to the target map data in the cache layer to the target client in response to determining that the target map data in the cache layer meets the data distribution condition.
In a third aspect, some embodiments of the present disclosure provide an electronic device, comprising: one or more processors; a storage device having one or more programs stored thereon, which when executed by one or more processors, cause the one or more processors to implement the method described in any of the implementations of the first aspect.
In a fourth aspect, some embodiments of the present disclosure provide a computer readable medium on which a computer program is stored, wherein the program, when executed by a processor, implements the method described in any of the implementations of the first aspect.
The above embodiments of the present disclosure have the following advantages: the local map data distribution method of some embodiments of the disclosure can reduce the complexity of the whole system and increase the safety of vehicle driving. Specifically, the reason why the complexity of the entire system is high and the safety of the vehicle running is low is that: the EHP service is usually established on the basis of high-precision positioning, so that a high-precision map and the high-precision positioning have a coupling relation, the complexity of the whole system is increased, and the driving safety of a vehicle is reduced. Based on this, the local map data distribution method of some embodiments of the present disclosure first extracts map data from a map database as initial map data; and providing a data base for the subsequent generation of the target map data. Next, data structure conversion is performed on the initial map data to generate target map data. The server maintains a set of internal stable data structures, and is used for performing abstract processing on the original map data of the bottom layer so as to relieve the impact on the application layer caused by different map data formats. And then, storing the target map data to a cache layer. The method is used for caching map data within a preset range so as to improve data access efficiency. And finally, responding to the fact that the target map data in the cache layer meets the data distribution condition, and distributing the driving path information corresponding to the target map data in the cache layer to the target client. The client and the server are decoupled, so that the overall complexity of the system is reduced, and the driving safety of the vehicle is improved.
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The above and other features, advantages and aspects of various embodiments of the present disclosure will become more apparent by referring to the following detailed description when taken in conjunction with the accompanying drawings. Throughout the drawings, the same or similar reference numbers refer to the same or similar elements. It should be understood that the drawings are schematic and that elements and elements are not necessarily drawn to scale.
Fig. 1 is a schematic diagram of one application scenario of a local map data distribution method of some embodiments of the present disclosure;
fig. 2 is a flow diagram of some embodiments of a local map data distribution method according to the present disclosure;
FIG. 3 is a schematic structural diagram of some embodiments of a local map data distribution apparatus according to the present disclosure;
FIG. 4 is a schematic block diagram of an electronic device suitable for use in implementing some embodiments of the present disclosure.
Detailed Description
Embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While certain embodiments of the present disclosure are shown in the drawings, it is to be understood that the disclosure may be embodied in various forms and should not be construed as limited to the embodiments set forth herein. Rather, these embodiments are provided for a more thorough and complete understanding of the present disclosure. It should be understood that the drawings and embodiments of the disclosure are for illustration purposes only and are not intended to limit the scope of the disclosure.
It should be noted that, for convenience of description, only the portions related to the related invention are shown in the drawings. The embodiments and features of the embodiments in the present disclosure may be combined with each other without conflict.
It should be noted that the terms "first", "second", and the like in the present disclosure are only used for distinguishing different devices, modules or units, and are not used for limiting the order or interdependence relationship of the functions performed by the devices, modules or units.
It is noted that references to "a", "an", and "the" modifications in this disclosure are intended to be illustrative rather than limiting, and that those skilled in the art will recognize that "one or more" may be used unless the context clearly dictates otherwise.
The names of messages or information exchanged between devices in the embodiments of the present disclosure are for illustrative purposes only, and are not intended to limit the scope of the messages or information.
The present disclosure will be described in detail below with reference to the accompanying drawings in conjunction with embodiments.
Fig. 1 is a schematic diagram of one application scenario of a local map data distribution method of some embodiments of the present disclosure.
In the application scenario of fig. 1, first, the computing device 101 may extract map data from the map database 102 as initial map data 103. Next, the computing device 101 may perform data structure conversion on the above-described initial map data 103 to generate target map data 104. The computing device 101 may then store the above-described target map data 104 to the cache layer. Finally, the computing device 101 may distribute the travel path information 105 corresponding to the target map data 104 in the cache layer to the target client 106 in response to determining that the target map data 104 in the cache layer satisfies the data distribution condition.
The computing device 101 may be hardware or software. When the computing device is hardware, it may be implemented as a distributed cluster composed of multiple servers or terminal devices, or may be implemented as a single server or a single terminal device. When the computing device is embodied as software, it may be installed in the hardware devices enumerated above. It may be implemented, for example, as multiple software or software modules to provide distributed services, or as a single software or software module. And is not particularly limited herein.
It should be understood that the number of computing devices in FIG. 1 is merely illustrative. There may be any number of computing devices, as implementation needs dictate.
With continued reference to fig. 2, a flow 200 of some embodiments of a local map data distribution method according to the present disclosure is shown. The local map data distribution method comprises the following steps:
in step 201, map data is extracted from a map database as initial map data.
In some embodiments, an executing body (e.g., the computing device 101 shown in fig. 1) of the local map data distribution method may extract map data within a preset range from the map database as initial map data by constructing a trigger. The map database is a database in which real-time map data of various large map providers (for example, a Baidu map and a Gade map) is stored.
As an example, the preset range may be "the tokyo city, municipality".
In some optional implementations of some embodiments, an executing subject (e.g., the computing device 101 shown in fig. 1) of the local map data distribution method extracting map data from the map database as initial map data may include the steps of:
in a first step, a candidate map data set is extracted from the map database.
The candidate map data set is a map data set in a map database at the current time.
And secondly, selecting candidate map data within a preset range from the candidate map data set as the initial map data based on the target position.
The execution subject may select candidate map data within a preset range from the candidate map data set as the initial map data based on a target position where a target vehicle is located. The preset range may be a circle having the target position as a center and a preset distance as a radius. The target location may be expressed in terms of latitude and longitude.
As an example, the target position may be "117.682306, 39.678774". The predetermined distance may be 5 meters.
In some embodiments, the executing entity (e.g., the computing device 101 shown in fig. 1) may perform data structure conversion on the initial map data to generate data structure-converted initial map data as the target map data. The target data structure may be a data structure preset in the server.
In some embodiments, the execution main body may store the target map data in a cache layer by using a DAS (Direct Attached Storage). The cache layer can be used for caching high-precision maps within a preset range.
As an example, the predetermined range may be "Zhongyuan of Zheng Zhou Zhongyuan of Henan province"
In some optional implementations of some embodiments, the executing entity storing the target map data in the cache layer may include the following steps:
first, data analysis is performed on the target map data to generate map analysis data.
The execution body may perform data analysis on the target map data by using an SQL (Structured Query Language) analysis method to generate map analysis data.
And secondly, storing the map analysis data to a cache layer.
The execution main body may store the map analysis data in a cache layer in a Network Attached Storage (NAS) manner.
And 204, responding to the fact that the target map data in the cache layer meets the data distribution condition, and distributing the driving path information corresponding to the target map data in the cache layer to the target client.
In some embodiments, the execution body may distribute, in response to determining that the target map data in the cache layer satisfies the data distribution condition, the travel path information corresponding to the target map data in the cache layer to the target client. The data distribution condition may be that the target map data is within a preset position range.
In some optional implementations of some embodiments, in response to determining that the target map data in the cache layer satisfies the data distribution condition, the executing body distributes the travel path information corresponding to the target map data in the cache layer to the target client, including the following steps:
firstly, determining the transmission success rate corresponding to the target map data in the cache layer.
The execution main body may determine a transmission success rate corresponding to the target map data in the cache layer through the following formula:
wherein S represents the above transmission success rate. p represents a preset packet loss rate. t represents the number of transmission packets corresponding to the target map data in the cache layer. n represents the number of redundant accumulations. i denotes a redundant accumulation index.
And secondly, in response to the fact that the transmission success rate is larger than a first preset threshold value, determining a redundancy value corresponding to the target map data in the cache layer based on the transmission success rate.
Wherein the first preset threshold may be 90%. The execution body may determine a redundancy value corresponding to the target map data in the cache layer according to the following formula:
wherein R represents a redundancy value corresponding to the target map data in the cache layer.
The above formula is an inventive point of the embodiments of the present disclosure, and solves the technical problem mentioned in the background art, i.e., "the quality of data provided to the client is low". The factors that lead to a lower quality of data provided to the client tend to be as follows: data between the server and the client is difficult to control due to the communication rate, so that the packet loss rate of the data is too high, the quality of the data provided for the client is further influenced, and the quality of the data provided for the client is low. If the above factors are solved, the effect of improving the quality of data provided to the client can be achieved. To achieve this, the present disclosure utilizes a redundancy-based sliding window algorithm for data flow control. During algorithm execution, the variable redundancy accumulation index is initialized to zero. For each data packet to be sent to the client, the transmission success rate of the data packet is determined based on the above formula. In response to determining that the transmission success rate of the data packet is greater than a preset threshold, a redundancy value is determined. The redundancy coefficient is dynamically adjusted based on the transmission success rate of the data packet, so that the transmission efficiency of the data is dynamically changed, the packet loss rate of the data can be reduced, and the data quality provided for a client is improved.
And thirdly, in response to the fact that the redundancy value corresponding to the target map data in the cache layer is larger than a second preset threshold value, distributing the driving path information corresponding to the target map data in the cache layer to the target client.
Wherein the second preset threshold may be 10. The executing body may distribute the travel route information corresponding to the target map data in the cache layer to the target client, and the executing body may include the following substeps:
the first substep is to perform map matching on the target map data to obtain a map matching result. The execution body may perform map matching on the target map data by using a hidden markov-based map matching algorithm to obtain a map matching result.
And a second substep of determining travel route information corresponding to the target map data in the cache layer based on the map matching result. The execution body may determine the travel path information by a map search method based on the map matching result. The travel path information may be information for representing a travel track.
And a third substep of distributing the travel path information to a target client. The execution body may control the target device of the target vehicle to travel according to the travel route information based on the travel route information. The target devices may be brakes, steering wheels and throttle.
The above embodiments of the present disclosure have the following advantages: the local map data distribution method of some embodiments of the disclosure can reduce the complexity of the whole system and increase the safety of vehicle driving. Specifically, the reason why the complexity of the entire system is high and the safety of the vehicle running is low is that: the EHP service is usually established on the basis of high-precision positioning, so that a high-precision map and the high-precision positioning have a coupling relation, the complexity of the whole system is increased, and the driving safety of a vehicle is reduced. Based on this, the local map data distribution method of some embodiments of the present disclosure first extracts map data from a map database as initial map data; and providing a data base for the subsequent generation of the target map data. Next, data structure conversion is performed on the initial map data to generate target map data. The server maintains a set of internal stable data structures, and is used for performing abstract processing on the original map data of the bottom layer so as to relieve the impact on the application layer caused by different map data formats. And then, storing the target map data to a cache layer. The method is used for caching map data within a preset range so as to improve data access efficiency. And finally, responding to the fact that the target map data in the cache layer meets the data distribution condition, and distributing the driving path information corresponding to the target map data in the cache layer to the target client. The client and the server are decoupled, so that the overall complexity of the system is reduced, and the driving safety of the vehicle is improved.
With further reference to fig. 3, as an implementation of the methods shown in the above figures, the present disclosure provides some embodiments of a local map data distribution apparatus, which correspond to those shown in fig. 2, and which may be applied in various electronic devices in particular.
As shown in fig. 3, the local map data distribution apparatus 300 of some embodiments includes: an extraction unit 301, a data structure conversion unit 302, a storage unit 303, and a distribution unit 304. Wherein the extraction unit 301 is configured to extract map data from a map database as initial map data; a data structure conversion unit 302 configured to perform data structure conversion on the above-described initial map data to generate target map data; a storage unit 303 configured to store the target map data in a cache layer; a distribution unit 304 configured to distribute the travel path information corresponding to the target map data in the cache layer to the target client in response to determining that the target map data in the cache layer satisfies the data distribution condition.
It will be understood that the units described in the apparatus 300 correspond to the various steps in the method described with reference to fig. 2. Thus, the operations, features and resulting advantages described above with respect to the method are also applicable to the apparatus 300 and the units included therein, and are not described herein again.
Referring now to FIG. 4, a block diagram of an electronic device (e.g., computing device 101 of FIG. 1)400 suitable for use in implementing some embodiments of the present disclosure is shown. The electronic device shown in fig. 4 is only an example, and should not bring any limitation to the functions and the scope of use of the embodiments of the present disclosure.
As shown in fig. 4, electronic device 400 may include a processing device (e.g., central processing unit, graphics processor, etc.) 401 that may perform various appropriate actions and processes in accordance with a program stored in a Read Only Memory (ROM)402 or a program loaded from a storage device 408 into a Random Access Memory (RAM) 403. In the RAM 403, various programs and data necessary for the operation of the electronic apparatus 400 are also stored. The processing device 401, the ROM 402, and the RAM 403 are connected to each other via a bus 404. An input/output (I/O) interface 405 is also connected to bus 404.
Generally, the following devices may be connected to the I/O interface 405: input devices 404 including, for example, a touch screen, touch pad, keyboard, mouse, camera, microphone, accelerometer, gyroscope, etc.; an output device 407 including, for example, a Liquid Crystal Display (LCD), a speaker, a vibrator, and the like; storage 408 including, for example, tape, hard disk, etc.; and a communication device 409. The communication means 409 may allow the electronic device 400 to communicate wirelessly or by wire with other devices to exchange data. While fig. 4 illustrates an electronic device 400 having various means, it is to be understood that not all illustrated means are required to be implemented or provided. More or fewer devices may alternatively be implemented or provided. Each block shown in fig. 4 may represent one device or may represent multiple devices as desired.
In particular, according to some embodiments of the present disclosure, the processes described above with reference to the flow diagrams may be implemented as computer software programs. For example, some embodiments of the present disclosure include a computer program product comprising a computer program embodied on a computer readable medium, the computer program comprising program code for performing the method illustrated in the flow chart. In some such embodiments, the computer program may be downloaded and installed from a network through the communication device 409, or from the storage device 408, or from the ROM 402. The computer program, when executed by the processing apparatus 401, performs the above-described functions defined in the methods of some embodiments of the present disclosure.
It should be noted that the computer readable medium described in some embodiments of the present disclosure may be a computer readable signal medium or a computer readable storage medium or any combination of the two. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples of the computer readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In some embodiments of the disclosure, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In some embodiments of the present disclosure, however, a computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: electrical wires, optical cables, RF (radio frequency), etc., or any suitable combination of the foregoing.
In some embodiments, the clients, servers may communicate using any currently known or future developed network Protocol, such as HTTP (HyperText Transfer Protocol), and may interconnect with any form or medium of digital data communication (e.g., a communications network). Examples of communication networks include a local area network ("LAN"), a wide area network ("WAN"), the Internet (e.g., the Internet), and peer-to-peer networks (e.g., ad hoc peer-to-peer networks), as well as any currently known or future developed network.
The computer readable medium may be embodied in the apparatus; or may exist separately without being assembled into the electronic device. The computer readable medium carries one or more programs which, when executed by the electronic device, cause the electronic device to: extracting map data from a map database as initial map data; performing data structure conversion on the initial map data to generate target map data; storing the target map data to a cache layer; and in response to the fact that the target map data in the cache layer meet the data distribution condition, distributing the traveling path information corresponding to the target map data in the cache layer to the target client.
Computer program code for carrying out operations for embodiments of the present disclosure may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, Smalltalk, C + +, and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider).
The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
The units described in some embodiments of the present disclosure may be implemented by software, and may also be implemented by hardware. The described units may also be provided in a processor, and may be described as: a processor includes an extraction unit, a data structure conversion unit, a storage unit, and a distribution unit. Where the names of the cells do not in some cases constitute a limitation of the cells themselves, for example, the extraction unit may also be described as a "unit that extracts map data from the map database as initial map data".
The functions described herein above may be performed, at least in part, by one or more hardware logic components. For example, without limitation, exemplary types of hardware logic components that may be used include: field Programmable Gate Arrays (FPGAs), Application Specific Integrated Circuits (ASICs), Application Specific Standard Products (ASSPs), systems on a chip (SOCs), Complex Programmable Logic Devices (CPLDs), and the like.
The foregoing description is only exemplary of the preferred embodiments of the disclosure and is illustrative of the principles of the technology employed. It will be appreciated by those skilled in the art that the scope of the invention in the embodiments of the present disclosure is not limited to the specific combination of the above-mentioned features, but also encompasses other embodiments in which any combination of the above-mentioned features or their equivalents is made without departing from the inventive concept as defined above. For example, the above features and (but not limited to) technical features with similar functions disclosed in the embodiments of the present disclosure are mutually replaced to form the technical solution.
Claims (10)
1. A local map data distribution method, comprising:
extracting map data from a map database as initial map data;
performing data structure conversion on the initial map data to generate target map data;
storing the target map data to a cache layer;
and in response to the fact that the target map data in the cache layer meet the data distribution condition, distributing the driving path information corresponding to the target map data in the cache layer to the target client.
2. The method of claim 1, wherein the method further comprises:
and controlling the target vehicle corresponding to the target client to run according to the running path information based on the running path information.
3. The method of claim 2, wherein said extracting map data from a map database as initial map data comprises:
extracting a candidate map data set from the map database;
selecting candidate map data within a preset range from the candidate map data set as the initial map data based on a target position.
4. The method of claim 3, wherein the storing the target map data to a cache layer comprises:
performing data analysis on the target map data to generate map analysis data;
and storing the map analysis data to a cache layer.
5. The method of claim 4, wherein the distributing the travel path information corresponding to the target map data in the cache layer to the target client in response to determining that the target map data in the cache layer satisfies the data distribution condition comprises:
determining a transmission success rate corresponding to the target map data in the cache layer;
and in response to determining that the transmission success rate is greater than a first preset threshold, determining a redundancy value corresponding to the target map data in the cache layer based on the transmission success rate.
6. The method of claim 5, wherein the distributing travel path information corresponding to the target map data in the cache layer to the target client in response to determining that the target map data in the cache layer satisfies a data distribution condition further comprises:
and in response to the fact that the redundancy value corresponding to the target map data in the cache layer is larger than a second preset threshold value, distributing the driving path information corresponding to the target map data in the cache layer to the target client.
7. The method of claim 6, wherein the distributing travel path information corresponding to the target map data in the cache layer to the target client comprises:
performing map matching on the target map data in the cache layer to obtain a map matching result;
determining driving path information corresponding to the target map data in the cache layer based on the map matching result;
and distributing the traveling path information to a target client.
8. A local map data distribution apparatus comprising:
an extraction unit configured to extract map data from a map database as initial map data;
a data structure conversion unit configured to perform data structure conversion on the initial map data to generate target map data;
a storage unit configured to store the target map data to a cache layer;
a distribution unit configured to distribute, in response to determining that the target map data in the cache layer satisfies a data distribution condition, the travel path information corresponding to the target map data in the cache layer to a target client.
9. An electronic device, comprising:
one or more processors;
a storage device having one or more programs stored thereon;
when executed by the one or more processors, cause the one or more processors to implement the method of any one of claims 1-7.
10. A computer-readable medium, on which a computer program is stored, wherein the program, when executed by a processor, implements the method of any one of claims 1-7.
Priority Applications (1)
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