CN114199228A - Map data generation method and device, electronic equipment and storage medium - Google Patents
Map data generation method and device, electronic equipment and storage medium Download PDFInfo
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
- G01C21/00—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00
- G01C21/38—Electronic maps specially adapted for navigation; Updating thereof
- G01C21/3804—Creation or updating of map data
- G01C21/3807—Creation or updating of map data characterised by the type of data
- G01C21/3815—Road data
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
- G01C21/00—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00
- G01C21/38—Electronic maps specially adapted for navigation; Updating thereof
- G01C21/3804—Creation or updating of map data
- G01C21/3833—Creation or updating of map data characterised by the source of data
- G01C21/3841—Data obtained from two or more sources, e.g. probe vehicles
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Abstract
The disclosure provides a map data generation method, relates to the technical field of computers, and particularly relates to the technical field of electronic map generation. The specific implementation scheme is as follows: determining sensing device information of an object sensing device in a map; determining a traffic sign associated with the target sensing device based on the road information associated with the sensing device information; in response to determining that there is an associated traffic sign associated with the target sensing device, obtaining an association between the target sensing device and the associated traffic sign; and generating map data according to the association relation. The present disclosure also provides a map data generation apparatus, an electronic device, and a storage medium.
Description
Technical Field
The present disclosure relates to the field of computer technology, and more particularly, to the field of electronic map generation technology. More specifically, the present disclosure provides a map data generation method, apparatus, electronic device, and storage medium.
Background
The speed measuring camera can detect the running speed of the vehicle. An associated speed limit sign is arranged near the speed measuring camera. The incidence relation between the speed measuring camera and the speed limit sign can be obtained and marked on the electronic map according to the speed limit sign near the speed measuring camera in a manual mode.
Disclosure of Invention
The disclosure provides a map data generation method, a map data generation device, a map data generation apparatus and a storage medium.
According to a first aspect, there is provided a map data generation method, the method comprising: determining sensing device information of an object sensing device in a map; determining a traffic sign associated with the target sensing device based on the road information associated with the sensing device information; in response to determining that there is an associated traffic sign associated with the target sensing device, obtaining an association between the target sensing device and the associated traffic sign; and generating map data according to the incidence relation
According to a second aspect, there is provided a map data generating apparatus, the apparatus comprising: a first determination module for determining sensing device information of a target sensing device in a map; a second determining module for determining a traffic sign associated with the target sensing device based on road information associated with the sensing device information; an obtaining module, configured to obtain an association relationship between the target sensing device and an associated traffic sign in response to determining that the associated traffic sign associated with the target sensing device exists; and the generating module is used for generating map data according to the association relation.
According to a third aspect, there is provided an electronic device comprising: at least one processor; and a memory communicatively coupled to the at least one processor; wherein the memory stores instructions executable by the at least one processor to enable the at least one processor to perform a method provided in accordance with the present disclosure.
According to a fourth aspect, there is provided a non-transitory computer readable storage medium having stored thereon computer instructions for causing a computer to perform a method provided in accordance with the present disclosure.
According to a fifth aspect, a computer program product is provided, comprising a computer program which, when executed by a processor, implements a method provided according to the present disclosure.
It should be understood that the statements in this section do not necessarily identify key or critical features of the embodiments of the present disclosure, nor do they limit the scope of the present disclosure. Other features of the present disclosure will become apparent from the following description.
Drawings
The drawings are included to provide a better understanding of the present solution and are not to be construed as limiting the present disclosure. Wherein:
FIG. 1 is a schematic diagram of an exemplary system architecture to which the map data generation method and apparatus may be applied, according to one embodiment of the present disclosure;
FIG. 2 is a flow diagram of a map data generation method according to one embodiment of the present disclosure;
fig. 3 is a flowchart of a map data generation method according to another embodiment of the present disclosure;
FIG. 4 is a schematic diagram of a map data generation method according to one embodiment of the present disclosure;
fig. 5 is a block diagram of a map data generation apparatus according to one embodiment of the present disclosure; and
fig. 6 is a block diagram of an electronic device to which a map data generation method may be applied according to one embodiment of the present disclosure.
Detailed Description
Exemplary embodiments of the present disclosure are described below with reference to the accompanying drawings, in which various details of the embodiments of the disclosure are included to assist understanding, and which are to be considered as merely exemplary. Accordingly, those of ordinary skill in the art will recognize that various changes and modifications of the embodiments described herein can be made without departing from the scope and spirit of the present disclosure. Also, descriptions of well-known functions and constructions are omitted in the following description for clarity and conciseness.
In the process of acquiring the incidence relation between the speed measuring camera and the traffic sign in a manual mode, higher labor cost and time cost are needed. However, when the road network where the speed measuring camera is located is complex, the driving experience of the operator is not infinite, and therefore the correlation relationship obtained manually is likely to be not matched with the actual situation. Further resulting in errors in the map data generated based on the above-described association relationship. Moreover, these errors are difficult to fix in a short period of time, which results in a severe impact on the user experience and reduced competitiveness of the related map products.
Fig. 1 is a schematic diagram of an exemplary system architecture to which the map data generation method and apparatus may be applied, according to one embodiment of the present disclosure. It should be noted that fig. 1 is only an example of a system architecture to which the embodiments of the present disclosure may be applied to help those skilled in the art understand the technical content of the present disclosure, and does not mean that the embodiments of the present disclosure may not be applied to other devices, systems, environments or scenarios.
As shown in fig. 1, the system architecture 100 according to this embodiment may include terminal devices 101, 102, 103, a network 104 and a server 105. The network 104 serves as a medium for providing communication links between the terminal devices 101, 102, 103 and the server 105. Network 104 may include various connection types, such as wired and/or wireless communication links, and so forth.
The user may use the terminal devices 101, 102, 103 to interact with the server 105 via the network 104 to receive or send messages or the like. The terminal devices 101, 102, 103 may be various electronic devices having a display screen and supporting web browsing, including but not limited to smart phones, tablet computers, laptop portable computers, desktop computers, and the like.
The server 105 may be a server providing various services, such as a background management server (for example only) providing support for websites browsed by users using the terminal devices 101, 102, 103. The background management server may analyze and perform other processing on the received data such as the user request, and feed back a processing result (e.g., a webpage, information, or data obtained or generated according to the user request) to the terminal device.
It should be noted that the map data generation method provided by the embodiment of the present disclosure may be generally executed by the server 105. Accordingly, the map data generation apparatus provided by the embodiment of the present disclosure may be generally provided in the server 105. The map data generation method provided by the embodiment of the present disclosure may also be executed by a server or a server cluster that is different from the server 105 and is capable of communicating with the terminal devices 101, 102, 103 and/or the server 105. Accordingly, the map data generation device provided in the embodiment of the present disclosure may also be provided in a server or a server cluster different from the server 105 and capable of communicating with the terminal devices 101, 102, 103 and/or the server 105.
Fig. 2 is a flowchart of a map data generation method according to one embodiment of the present disclosure.
As shown in fig. 2, the method 200 may include operations S210 to S240.
In operation S210, sensing device information of a target sensing device in a map is determined.
For example, the sensing device information of the object sensing device in the map may be determined from an existing map database.
In an embodiment of the present disclosure, the sensing device may include a speed measuring camera.
For example, the on-road sensing devices may include a speed camera and a violation camera. The target sensing device may be one of a plurality of speed measuring cameras on the road.
It should be noted that the violation camera is used to detect whether the vehicle violates a rule, for example, whether the vehicle is traveling on a specified lane.
In the disclosed embodiment, the sensing device information may be position information of the sensing device.
For example, the location information may be latitude and longitude coordinates.
In operation S220, a traffic sign associated with the target sensing device is determined according to road information associated with the sensing device information.
In the disclosed embodiments, the traffic signs may include speed limit signs.
For example, road information related to the sensing device may be determined according to the above-described position information of the target sensing device.
For example, a plurality of traffic signs having a distance of 1 km from the object sensing device may be taken as the traffic signs related to the object sensing device.
In operation S230, in response to determining that there is an associated traffic sign associated with the target sensing device, an association between the target sensing device and the associated traffic sign is obtained.
In the disclosed embodiments, it may be determined whether there is an associated traffic sign among the traffic signs associated with the target sensing device.
For example, it may be determined whether a plurality of traffic signs at a distance of 1 km from the target sensing device satisfy at least one predetermined condition. And taking the traffic sign meeting at least one preset condition as the associated traffic sign. In one example, the predetermined condition 1 may be that the contents of the traffic sign include a road name and a speed limit value. For example, the content of the traffic sign is "the first road speed limit is 80 km/h", the content of the traffic sign includes a road name and a speed limit value "80 km/h", and the traffic sign can be considered to meet the predetermined condition 1.
Those skilled in the art will appreciate that a traffic sign meeting one of the at least one predetermined condition may be considered an associated traffic sign. A traffic sign meeting each of the at least one predetermined condition may also be taken as the associated traffic sign.
In operation S240, map data is generated according to the association relationship.
For example, the content of the associated traffic sign and the information of the target sensing device are concatenated to generate a new map data.
Through the embodiment of the disclosure, the speed limit value of the speed measuring camera can be efficiently and accurately determined, the error rate of the map data generated based on the incidence relation is reduced, the user experience is improved, and the competitiveness of related map products is further improved.
Fig. 3 is a flowchart of a map data generation method according to another embodiment of the present disclosure.
As shown in fig. 3, the method 320 may determine a traffic sign associated with a target sensing device according to road information associated with sensing device information, which will be described in detail with reference to operations S321 to S323.
In operation S321, road information related to the sensing device information is determined according to the location information of the target sensing device.
In an embodiment of the present disclosure, the road information related to the target sensing device includes at least one of: the name of the road, the direction of passage of the road, and the road attributes of the road.
For example, in a map database, the road on which the object sensing device is located may have multiple names.
For example, the direction of communication associated with the target sensing device may be unidirectional.
For example, the road attribute may be a level of a road, such as the level of the road may be an expressway, a national road, or an provincial road, and so on. For another example, the road attribute may also be a type of road, such as a main road or a sub road.
For example, the road information related to the sensing device information may include road information of at least one road. In one example, if the object sensing device is located at an intersection, the road information related to the sensing device information may include road information of at least two roads.
It will be appreciated by those skilled in the art that an intersection may be a planar intersection, i.e., a location where two or more roads intersect in the same plane.
In operation S322, a road segment to be searched related to the target sensing device is determined according to the road information.
In the embodiment of the present disclosure, the evaluation value of the road may be calculated according to the matching degree of the road information and the sensing device information, and the link having the highest evaluation value may be taken as the link to be searched for in relation to the target sensing device.
For example, the object sensing device CAThe sensing device information includes: (target road name: road R)AOr road RA1) (direction of passage of target road: west-east) and (attribute of target road: main road). According to the target sensing device CACan determine the target sensing device CALocated at an intersection formed by the intersection of road a and road B. Thus, the target sensing device CAThe relevant road information is the road information of the road a and the road information of the road B. The road information of the road a includes: (road name: road R)A) (general)The row direction: west to east) and (attribute: main road). Road RBThe road information of (1) includes: (road name: road R)B) (direction of passage: from north to south) and (attribute: main road). In one example, from the road information and sensing device information described above, the road information of road a and the target sensing device C may be obtainedAThe matching degree between the sensing device information of (1) is: (road name matching degree: 1), (passing direction matching degree: 1), and (attribute matching degree: 1). Road information and target sensing device C capable of obtaining road BAThe matching degree between the sensing device information of (1) is: (road name matching degree: 0), (passing direction matching degree: 0), and (attribute matching degree: 1). Thus, for the target sensing device CAThe evaluation value of the road a is 3, and the evaluation value of the road B is 1. A predetermined partial section of the road a may be taken as the section to be searched. Can sense the device C according to the slave targetAStarting from this, on the road a, a link of a predetermined length is set in the direction opposite to the traffic direction.
In the process of calculating the matching degree between the road information and the sensing device information, if the sub information of the road information is consistent with the corresponding sub information in the sensing device information, the corresponding matching degree is 1. If the sub-information of the road information is not consistent with the corresponding sub-information in the sensing device information, the corresponding matching degree is 0. For example, the passing direction in the road information of the road a is consistent with the passing direction in the sensing device information, and the matching degree of the passing direction may be assigned to 1. For another example, if the road name of the road B does not coincide with the target road name in the sensing device information, the matching degree of the road name may be assigned to 0.
Those skilled in the art will appreciate that the degree of match between the road information and the sensing device information may be calculated in any manner, and the disclosure is not limited thereto. For example, a similarity between the road information and the sensing device information may be calculated to calculate a matching degree between the road information and the sensing device information.
In operation S323, a traffic sign related to the target sensing device is determined based on the road segment to be searched.
In the disclosed embodiment, starting from the object sensing device, a traffic sign associated with the object sensing device is searched for in the direction opposite to the traffic direction.
For example, starting from the object sensing device, a traffic sign associated with the object sensing device may be searched in a direction opposite to the traffic direction according to a preset search distance. In one example, the traffic direction is west-east, and 1 km may be searched for in an east-west direction on the road segment to be searched starting from the target sensing device to determine the traffic sign associated with the target sensing device.
In the disclosed embodiments, candidate traffic signs associated with the target sensing device are determined based on the road segment to be searched.
For example, traffic signs on the road segment to be searched are all taken as candidate traffic signs. In one example, in the map database, 1 km is searched in the east-west direction from the object sensing device, and 2 traffic signs are searched and determined as a traffic sign candidate a and a traffic sign candidate B, respectively.
In the disclosed embodiments, it is determined whether the candidate traffic sign meets a predetermined condition.
For example, the predetermined condition may be at least one. In one example, taking predetermined condition 2 as an example, predetermined condition 2 may be that the speed limit value is closest to the target sensing device and included in the content of the traffic sign. The distance between the candidate traffic sign A and the target sensing device is 0.3 kilometer, and the content comprises the following steps: the speed limit in front is 100 km/h. The distance between the candidate traffic sign B and the target sensing device is 0.8 kilometer, and the content comprises the following steps: the front toll station requests deceleration. It may be determined that candidate traffic sign a meets predetermined condition 2 and candidate traffic sign B does not meet predetermined condition 2.
In the embodiment of the present disclosure, in the case where it is determined that the candidate traffic sign meets the predetermined condition, the candidate traffic sign is taken as the associated traffic sign.
For example, the candidate traffic sign a that meets the predetermined condition 2 may be taken as the associated traffic sign.
Through the embodiment of the disclosure, the speed limit value related to the speed measuring camera can be accurately determined when the road intersection exists.
In some embodiments, the difference from method 320 is that the target sensing device is target sensing device CB. Target sensing device CBThe sensing device information includes: (target road name: road R)B) (direction of passage of target road: from north to south) and (attribute of target road: main road). The object sensing device CBIs also located at an intersection formed by the intersection of road a and road B, and is thus associated with the object sensing device CBThe relevant road information is the road information of the road a and the road information of the road B. For another example, as described above, the road information of the road a includes: (road name: road R)A) (direction of passage: west to east) and (attribute: main road). The road information of the road B includes: (road name: road R)B) (direction of passage: from north to south) and (attribute: main road). In one example, from the road information and sensing device information described above, the road information of road a and the target sensing device C may be obtainedBThe matching degree is as follows: (road name matching degree: 0), (passing direction matching degree: 0), and (attribute matching degree: 1). And a road information and object sensing device C capable of obtaining the road BBThe matching degree is as follows: (road name matching degree: 0), (passing direction matching degree: 1), and (attribute matching degree: 1). Thus, for the target sensing device CBThe evaluation value of the road a is 1, and the evaluation value of the road B is 2. The predetermined partial section of the road B may be taken as the section to be searched for, referring to the manner in which the section to be searched for is set on the road a described above. In practical situations, the information of the sensing device is not necessarily completely accurate, for example, after a road is renamed, the information of the sensing device is updated, and the road information is not updated, which may result in inaccurate map data. Therefore, the map data can be generated more accurately by comprehensively considering the road name, the traffic direction, and the attribute.
In some embodiments, determining the associated traffic sign related to the target sensing device based on the road segment to be searched comprises: determining at least one candidate traffic sign related to the target sensing device based on the road segment to be searched; determining whether at least one candidate traffic sign meets a predetermined condition; and generating prompt information under the condition that at least one candidate traffic sign is determined not to meet the preset condition.
For example, unlike the method 320, taking the predetermined condition 3 as an example, the predetermined condition 3 may be that the speed limit value included in the content of the traffic sign is not higher than 120 km/h and is closest to the target sensing device. Neither the above-described candidate traffic sign a nor the above-described candidate traffic sign B satisfies the predetermined condition 3. In this case, a prompt message may be generated. The prompt message is used for instructing an operator to go to the sensing device and confirm the speed limit value related to the sensing device in the field.
In some embodiments, the predetermined condition may also be the following condition. The predetermined condition 4 may be that the content of the traffic sign does not contain a special mark description. The predetermined condition 5 may be that the content of the traffic sign does not contain fields of "toll gate", "check station", and the like. The predetermined condition 6 may be that the speed limit is greater than or equal to 80 km/h at high speed or urban high speed. The predetermined condition 7 may be that the speed limit value is greater than 20 km/h on the ordinary road. In some examples, if either predetermined condition 6 or predetermined condition 7 is not met, it may be determined that the traffic sign is in error and another prompt may be generated. The prompt information is used for indicating the road maintenance personnel to go to the traffic sign for maintenance. It will be understood by those skilled in the art that the predetermined condition may be set as desired, and the present disclosure is not limited thereto.
Fig. 4 is a schematic diagram of a map data generation method according to one embodiment of the present disclosure.
As shown in fig. 4, the object sensing device described above may be the speed camera 401 in fig. 4. It should be noted that the information of the speed camera 401, the information of the traffic sign 403, the information of the traffic sign 404, the road information of the road 405, and the road information of the road 406 are stored in one map database. However, the speed-measuring camera 401 does not include the speed limit value in the information. The speed limit value may be described in the information of the traffic sign 403 and/or the information of the traffic sign 404.
The speed camera 401 may be used to detect the speed of the vehicle 402.
Information of the speed measuring camera 401 in the map can be determined, and the information can include: (coordinates: XX ° X 'X "in north latitude, YY ° Y' Y" in east longitude "), (target road name: road 405), (passing direction of target road: east-west), and (attribute of target road: expressway). According to the coordinates of the speed measuring camera 401, the road 405 and the road 406 are closer to the test camera. The road information related to the speed camera 401 may be determined to be the road information of the road 405 and the road information of the road 406.
The road information of the road 405 includes: (road name: road 405), (direction of travel: east-west), and (attribute: highway). The road information of the road 406 includes: (road name: road 406), (direction of passage: from north to south) and (attribute: highway). In a manner similar to the above-described calculation of the evaluation value of the road, it can be determined that the road information of the road 405 more matches the information of the speed camera 401. Further, a partial link of the road 405 may be used as the link to be searched. For example, in the east-west direction, a traffic sign with a distance less than or equal to 1 km from the speed measurement camera 401 is searched in the map database, and the traffic signs related to the target sensing devices are determined as a traffic sign 403 and a traffic sign 404.
Next, it may be determined whether the traffic sign 403 or the traffic sign 404 satisfies the predetermined condition 2 described above. The predetermined condition 2 may be that the speed limit value is included in the content of the traffic sign closest to the target sensing device. The distance between the traffic sign 403 and the target sensing device is 0.3 km, and the content thereof includes: the speed limit in front is 120 km/h. The traffic sign 404 is 0.8 km from the target sensing device, which includes: the front toll station requests deceleration. It may be determined that the traffic sign 403 meets the predetermined condition 2, which may be an associated traffic sign associated with the test camera 401, and the association between the traffic sign 403 and the test camera 401 is obtained.
The content of the traffic sign 403 includes the speed limit value of 120 km/h. The speed limit value is given to the speed measurement camera 401, and a new map data is generated. The new map data is different from the above-described information of the speed camera 401 in that (speed limit: 120 km/h) is further included.
Fig. 5 is a block diagram of a map data generation apparatus according to one embodiment of the present disclosure.
As shown in fig. 5, the apparatus 500 may include a first determining module 510, a second determining module 520, an obtaining module 530, and a generating module 540.
A first determining module 510 for determining sensing device information of a target sensing device in a map.
A second determining module 520, configured to determine a traffic sign associated with the target sensing device according to the road information associated with the sensing device information.
An obtaining module 530, configured to, in response to determining that there is an associated traffic sign associated with the target sensing device, obtain an association relationship between the target sensing device and the associated traffic sign.
And a generating module 540, configured to generate map data according to the association relationship.
In some embodiments, the second determining module comprises: a first determining sub-module for determining road information related to the sensing device information according to the position information of the target sensing device; a second determining submodule for determining a road segment to be searched, which is related to the target sensing device, according to the road information; and a third determining submodule for determining a traffic sign associated with the target sensing device based on the road segment to be searched.
In some embodiments, the road information related to the target sensing device includes at least one of: the name of the road; the direction of passage of the road; and road attributes of the road.
In some embodiments, the third determining sub-module includes: and a searching unit for searching for a traffic sign related to the target sensing device in a direction opposite to the passing direction from the target sensing device.
In some embodiments, the third determining sub-module includes: a first determination unit configured to determine a candidate traffic sign related to the target sensing device based on the link to be searched; a second determination unit, configured to determine whether the candidate traffic sign meets a predetermined condition; and a third determination unit configured to take the candidate traffic sign as the associated traffic sign when it is determined that the candidate traffic sign meets a predetermined condition.
In some embodiments, the third determining sub-module includes: a fourth determination unit configured to determine at least one candidate traffic sign related to the target sensing device based on the road segment to be searched; a fifth determining unit, configured to determine whether the at least one candidate traffic sign meets a predetermined condition; and the generating unit is used for generating prompt information under the condition that the at least one candidate traffic sign is determined not to meet the preset condition.
In some embodiments, the object sensing device includes a speed measuring camera, and the traffic sign includes a speed limit sign.
In the technical scheme of the disclosure, the collection, storage, use, processing, transmission, provision, disclosure and other processing of the personal information of the related user are all in accordance with the regulations of related laws and regulations and do not violate the good customs of the public order.
The present disclosure also provides an electronic device, a readable storage medium, and a computer program product according to embodiments of the present disclosure.
FIG. 6 illustrates a schematic block diagram of an example electronic device 600 that can be used to implement embodiments 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 meant to limit implementations of the disclosure described and/or claimed herein.
As shown in fig. 6, the apparatus 600 includes a computing unit 601, which can perform various appropriate actions and processes according to a computer program stored in a Read Only Memory (ROM)602 or a computer program loaded from a storage unit 608 into a Random Access Memory (RAM) 603. In the RAM 603, various programs and data required for the operation of the device 600 can also be stored. The calculation unit 601, the ROM 602, and the RAM 603 are connected to each other via a bus 604. An input/output (I/O) interface 605 is also connected to bus 604.
A number of components in the device 600 are connected to the I/O interface 605, including: an input unit 606 such as a keyboard, a mouse, or the like; an output unit 607 such as various types of displays, speakers, and the like; a storage unit 608, such as a magnetic disk, optical disk, or the like; and a communication unit 609 such as a network card, modem, wireless communication transceiver, etc. The communication unit 609 allows the device 600 to exchange information/data with other devices via a computer network such as the internet and/or various telecommunication networks.
The computing unit 601 may be a variety of general and/or special purpose processing components having processing and computing capabilities. Some examples of the computing unit 601 include, but are not limited to, a Central Processing Unit (CPU), a Graphics Processing Unit (GPU), various dedicated Artificial Intelligence (AI) computing chips, various computing units running machine learning model algorithms, a Digital Signal Processor (DSP), and any suitable processor, controller, microcontroller, and so forth. The calculation unit 601 executes the respective methods and processes described above, such as the map data generation method. For example, in some embodiments, the map data generation method may be implemented as a computer software program tangibly embodied in a machine-readable medium, such as storage unit 608. In some embodiments, part or all of the computer program may be loaded and/or installed onto the device 600 via the ROM 602 and/or the communication unit 609. When the computer program is loaded into the RAM 603 and executed by the computing unit 601, one or more steps of the map data generation method described above may be performed. Alternatively, in other embodiments, the computing unit 601 may be configured to perform the map data generation method by any other suitable means (e.g., by means of firmware).
Various implementations of the systems and techniques described here above may be implemented in digital electronic circuitry, integrated circuitry, Field Programmable Gate Arrays (FPGAs), Application Specific Integrated Circuits (ASICs), Application Specific Standard Products (ASSPs), system on a chip (SOCs), load programmable logic devices (CPLDs), 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.
Program code for implementing the methods of the present disclosure may be written in any combination of one or more programming languages. These program codes may be provided to a processor or controller of a general purpose computer, special purpose computer, or other programmable data processing apparatus, such that the program codes, when executed by the processor or controller, cause the functions/operations specified in the flowchart and/or block diagram to be performed. The program code may execute entirely on the machine, partly on the machine, as a stand-alone software package partly on the machine and partly on a remote machine or entirely on the remote machine or server.
In the context of this disclosure, a machine-readable medium may be a tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. The machine-readable medium may be a machine-readable signal medium or a machine-readable storage medium. A machine-readable medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. More specific examples of a machine-readable storage medium would include an electrical connection based on 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.
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.
It should be understood that various forms of the flows shown above may be used, with steps reordered, added, or deleted. For example, the steps described in the present disclosure may be executed in parallel, sequentially, or in different orders, as long as the desired results of the technical solutions disclosed in the present disclosure can be achieved, and the present disclosure is not limited herein.
The above detailed description should not be construed as limiting the scope of the disclosure. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions may be made in accordance with design requirements and other factors. Any modification, equivalent replacement, and improvement made within the spirit and principle of the present disclosure should be included in the scope of protection of the present disclosure.
Claims (17)
1. A map data generation method, comprising:
determining sensing device information of an object sensing device in a map;
determining a traffic sign associated with the target sensing device based on the road information associated with the sensing device information;
in response to determining that there is an associated traffic sign associated with the target sensing device, obtaining an association between the target sensing device and the associated traffic sign; and
and generating map data according to the incidence relation.
2. The method of claim 1, wherein said determining a traffic sign associated with the target sensing device from the road information associated with the sensing device information comprises:
determining road information related to the sensing device information according to the position information of the target sensing device;
determining a road segment to be searched related to the target sensing device according to the road information; and
determining a traffic sign related to the target sensing device based on the road segment to be searched.
3. The method of claim 2, wherein the road information related to the target sensing device comprises at least one of:
the name of the road;
the direction of passage of the road; and
the road attribute of the road.
4. The method of claim 3, wherein the determining a traffic sign associated with the target sensing device based on the road segment to be searched comprises:
starting from the object sensing device, a traffic sign associated with the object sensing device is searched in a direction opposite to the traffic direction.
5. The method of claim 2, wherein the determining a traffic sign associated with the target sensing device based on the road segment to be searched comprises:
determining candidate traffic signs related to the target sensing device based on the road segment to be searched;
determining whether the candidate traffic sign meets a predetermined condition; and
and in the case that the candidate traffic sign is determined to meet the preset condition, taking the candidate traffic sign as the associated traffic sign.
6. The method of claim 2, wherein the determining a traffic sign associated with the target sensing device based on the road segment to be searched comprises:
determining at least one candidate traffic sign related to the target sensing device based on the road segment to be searched;
determining whether the at least one candidate traffic sign meets a predetermined condition; and
and generating prompt information under the condition that the at least one candidate traffic sign is determined not to meet the preset condition.
7. The method of any one of claims 1 to 6, wherein the object sensing device comprises a speed measuring camera and the traffic sign comprises a speed limit sign.
8. A map data generation apparatus comprising:
a first determination module for determining sensing device information of a target sensing device in a map;
a second determination module for determining a traffic sign associated with the target sensing device based on road information associated with the sensing device information;
an obtaining module, configured to, in response to determining that there is an associated traffic sign associated with the target sensing device, obtain an association between the target sensing device and the associated traffic sign; and
and the generating module is used for generating map data according to the incidence relation.
9. The apparatus of claim 8, wherein the second determining means comprises:
a first determining sub-module for determining road information related to the sensing device information according to the position information of the target sensing device;
a second determining submodule for determining a road segment to be searched related to the target sensing device according to the road information; and
a third determination submodule for determining a traffic sign associated with the target sensing device based on the road segment to be searched.
10. The device of claim 9, wherein the road information related to the target sensing device comprises at least one of:
the name of the road;
the direction of passage of the road; and
the road attribute of the road.
11. The apparatus of claim 10, wherein the third determination submodule comprises:
a search unit for searching for a traffic sign associated with the object sensing device in a direction opposite to the traffic direction, starting from the object sensing device.
12. The apparatus of claim 9, wherein the third determination submodule comprises:
a first determination unit for determining a candidate traffic sign related to the target sensing device based on the road segment to be searched;
a second determination unit for determining whether the candidate traffic sign meets a predetermined condition; and
and the third determining unit is used for taking the candidate traffic sign as the related traffic sign under the condition that the candidate traffic sign is determined to meet the preset condition.
13. The apparatus of claim 9, wherein the third determination submodule comprises:
a fourth determination unit for determining at least one candidate traffic sign related to the target sensing device based on the road segment to be searched;
a fifth determination unit for determining whether the at least one candidate traffic sign meets a predetermined condition; and
and the generating unit is used for generating prompt information under the condition that the at least one candidate traffic sign is determined not to meet the preset condition.
14. The device of any one of claims 8 to 13, wherein the object sensing device comprises a speed measuring camera and the traffic sign comprises a speed limit sign.
15. An electronic device, comprising:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein,
the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method of any one of claims 1 to 7.
16. A non-transitory computer readable storage medium having stored thereon computer instructions for causing the computer to perform the method of any one of claims 1 to 7.
17. A computer program product comprising a computer program which, when executed by a processor, implements the method according to any one of claims 1 to 7.
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