CN117149929A - Data processing method, device, equipment and storage medium - Google Patents
Data processing method, device, equipment and storage medium Download PDFInfo
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Abstract
The disclosure provides a data processing method, a device, equipment and a storage medium, relates to the technical field of artificial intelligence, in particular to the technical field of artificial intelligence, and particularly relates to the technical fields of automatic driving, intelligent transportation and machine learning. The specific implementation scheme is as follows: determining a stay track point from the running tracks of different vehicles; determining a second track sequence according to the running track, the stay track points and the spatial indexes between the track points and the outline of the parking lot; the second track sequence is a track sequence before entering a parking lot; determining a second road segment set corresponding to a second track sequence based on the binding relation between the driving track and the road data; and determining the high-frequency road sections entering the parking lot according to the second road section set. Through the technical scheme, the excavation efficiency of the high-frequency road section entering the parking lot can be improved.
Description
Technical Field
The present disclosure relates to the field of artificial intelligence, and in particular to the technical fields of autopilot, intelligent transportation, and machine learning.
Background
With the continuous development of intelligent navigation technology, more and more drivers search for parking lots through navigation products. In navigation products, a parking lot is taken as one of important service facilities, and has very important roles in improving the travel experience of drivers and relieving urban traffic pressure. However, the parking lot data construction of the navigation product also faces the problems of data loss, low data quality, untimely data update and the like. Therefore, the method strengthens the construction of parking lot data, improves the quality and timeliness of parking lot information, and has important significance for the development of intelligent navigation products.
Disclosure of Invention
The present disclosure provides a data processing method, apparatus, device, and storage medium.
According to an aspect of the present disclosure, there is provided a data processing method, the method including:
determining a stay track point from the running tracks of different vehicles;
determining a second track sequence according to the running track, the stay track points and the spatial indexes between the track points and the outline of the parking lot; the second track sequence is a track sequence before entering a parking lot;
determining a second road segment set corresponding to a second track sequence based on the binding relation between the driving track and the road data;
and determining the high-frequency road sections entering the parking lot according to the second road section set.
According to another aspect of the present disclosure, there is provided a data processing apparatus comprising:
the stay track point determining module is used for determining stay track points from the running tracks of different vehicles;
the second track sequence determining module is used for determining a second track sequence according to the running track, the stay track points and the spatial indexes between the track points and the outline of the parking lot; the second track sequence is a track sequence before entering a parking lot;
The second road segment set determining module is used for determining a second road segment set corresponding to the second track sequence based on the binding relation between the driving track and the road data;
and the high-frequency road section determining module is used for determining the high-frequency road section entering the parking lot according to the second road section set.
According to another aspect of the present disclosure, there is provided an electronic device including:
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 data processing method of any one embodiment of the present disclosure.
According to another aspect of the present disclosure, there is provided a non-transitory computer-readable storage medium storing computer instructions for causing a computer to perform the data processing method according to any of the embodiments of the present disclosure.
According to another aspect of the present disclosure, there is provided a computer program product comprising a computer program which, when executed by a processor, implements a data processing method according to any embodiment of the present disclosure.
According to the technology of the present disclosure, the excavation efficiency of the high-frequency road section entering the parking lot can be improved.
It should be understood that the description in this section is not intended to identify key or critical features of the embodiments of the disclosure, nor is it intended to be used to limit the scope of the disclosure. Other features of the present disclosure will become apparent from the following specification.
Drawings
The drawings are for a better understanding of the present solution and are not to be construed as limiting the present disclosure. Wherein:
FIG. 1 is a flow chart of a data processing method provided in accordance with an embodiment of the present disclosure;
FIG. 2 is a flow chart of another data processing method provided in accordance with an embodiment of the present disclosure;
FIG. 3 is a flow chart of yet another data processing method provided in accordance with an embodiment of the present disclosure;
FIG. 4 is a schematic diagram of a data processing apparatus provided according to an embodiment of the present disclosure;
fig. 5 is a block diagram of an electronic device for implementing a data processing method of an embodiment of the present disclosure.
Detailed Description
Exemplary embodiments of the present disclosure are described below in conjunction with the accompanying drawings, which include various details of the embodiments of the present disclosure to facilitate understanding, and should be considered as merely exemplary. Accordingly, one 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.
It should be noted that the terms "first," "second," and the like in the description and the claims of the present invention and the above figures are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate such that the embodiments of the invention described herein may be implemented in sequences other than those illustrated or otherwise described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
In addition, in the technical scheme of the invention, the related processing such as collection, storage, use, processing, transmission, provision and disclosure of the related data such as the running track and the like accords with the regulations of related laws and regulations and does not violate the popular regulations.
Among the numerous attributes of the parking lot data, the parking lot entry road section is certainly the most critical attribute, and the correct entry road section can only ensure the satisfaction of the parking requirements of users. However, the parking lot data are widely distributed, so that the construction difficulty is high, and a large-scale construction method for entering road sections of the parking lot is still lacking at present. Accordingly, the present disclosure provides a way to excavate a high frequency road section into a parking lot based on a travel track.
Fig. 1 is a flowchart of a data processing method provided according to an embodiment of the present disclosure. The method is applicable to the case of how to determine the high frequency section of the parking lot. The method may be performed by a data processing apparatus, which may be implemented in software and/or hardware, and may be integrated in an electronic device, such as a server, carrying data processing functions. As shown in fig. 1, the data processing method of the present embodiment may include:
s101, determining a stay track point from the running tracks of different vehicles.
In this embodiment, the driving track refers to the driving track of the vehicle acquired by different vehicle terminals; optionally, the driving track includes a plurality of track points, and each track point includes information such as a terminal identifier of a terminal of the vehicle, a vehicle model, an instantaneous speed, a position, a time, and the like. The stay track point is a track point in which the position is kept unchanged in a continuous time in the running track; the number of the stay trace points is plural.
Alternatively, the driving track of the vehicle entering the parking lot can be acquired from different vehicle terminals; then, for the running track of each vehicle, sequencing track points belonging to the same set period in the running track according to the time sequence to obtain sequenced track points; and further, judging whether the position of each track point after sequencing changes in a continuous time period, and if not, taking the track point as a stay track point. Wherein the continuous period of time may be set by a person skilled in the art according to the actual situation, for example 1 hour. It will be appreciated that by setting the continuous time period, temporary parking situations may be excluded to avoid interfering with the determination of the high frequency road segments of the subsequent parking lot.
S102, determining a second track sequence according to the running track, the stay track point and the spatial index between the track point and the outline of the parking lot.
In this embodiment, the second track sequence is a track sequence before entering the parking lot; namely a section of track before entering the parking lot in the running track; optionally comprising one or more dwell trajectory points, and a sequence of trajectories preceding the dwell trajectory points.
The spatial index between the track point and the parking lot contour refers to the spatial relationship between the track point and the parking lot contour in the parking lot, and can be understood as the association relationship between the track point and the parking lot contour for searching the corresponding parking lot based on the track point.
Specifically, a parking lot associated with the parking track point may be determined based on a spatial index between the track point and the parking profile according to the parking track point, then a parking track point that first enters the parking lot is determined from the parking track point, and the parking track point and a continuous track with a set duration before the parking track point in the driving track are taken as the second track sequence.
S103, determining a second road segment set corresponding to the second track sequence based on the binding relation between the driving track and the road data.
In this embodiment, the second road segment set refers to a road segment corresponding to the second track sequence; optionally, the second set of road segments comprises one or more road segments.
The binding relation between the running track and the road data refers to the corresponding relation after the running track and the road data are bound; the expression form of the binding relation can be that the line segment plus direction represents the running track, and the line segment adopts the road mark to represent the road section corresponding to the running track. Optionally, a preset road binding mode may be adopted to bind the driving track and the road data, so as to obtain a binding relationship between the driving track and the road data; in this embodiment, the preset binding method is not limited specifically, and may be, for example, shortest distance matching, hidden markov, machine learning, or other methods.
Specifically, the second road segment set corresponding to the second track sequence may be searched based on the binding relationship between the driving track and the road data.
S104, determining the high-frequency road sections entering the parking lot according to the second road section set.
The high-frequency road section in the embodiment refers to a road section with high frequency of running when the vehicle enters the parking place, that is to say, a road section where the vehicle enters the parking place and runs frequently; further, the high-frequency road section is used for navigation guidance of the parking lot.
Specifically, for different running tracks of the same vehicle and running tracks of different vehicles, a plurality of second road segment sets entering the parking lot can be obtained, the number of times of each road segment in the second road segment sets is counted, and the road segment with the largest number of times is used as a high-frequency road segment entering the parking lot.
According to the technical scheme provided by the embodiment of the disclosure, the stay track points are determined from the running tracks of different vehicles, then the second track sequence is determined according to the running tracks, the stay track points and the spatial indexes between the track points and the outlines of the parking lot, further the second road section set corresponding to the second track sequence is determined based on the binding relation between the running tracks and the road data, and finally the high-frequency road section entering the parking lot is determined according to the second road section set. According to the technical scheme, compared with the prior art that the problem that the cost is high, the time efficiency is poor and the like is caused by acquiring the related data of the parking lot based on field collection or third party cooperation, the high-frequency road section entering the parking lot is determined only through different driving tracks, the road section entering the parking lot can be accurately excavated, and particularly under the condition that a plurality of parking lot inlets exist or the parking lot does not have a fixed inlet, the road section entering the parking lot can be rapidly and accurately excavated, so that the navigation is convenient.
On the basis of the above-described embodiments, as an alternative of the present disclosure, determining a stay track point from travel tracks of different vehicles includes: determining continuous track points from the running tracks of different vehicles; and determining whether the continuous track point is a stay track point according to the instantaneous speed and the position of the continuous track point.
The continuous track points are track points which are continuous in time and associated in position in the running track.
Specifically, the driving track points of the same vehicle driving into the parking lot in the same time period are ordered according to the time sequence, so that continuous track points are obtained; and then, judging whether the instantaneous speed of each continuous track point is 0 within the continuous set time length, and determining that the continuous track point is a stop track point corresponding to the parking lot if the position corresponding to the continuous track point is almost unchanged, namely the position change range is within the set range. It should be noted that the set duration may be set by those skilled in the art according to practical situations, for example, 1 hour; the setting range can be set by a person skilled in the art according to the actual situation, for example 5 meters.
It can be understood that the stay track points are determined based on the track point states of the driving track, namely the speed and the position, so that the determination of the stay track points is more accurate, and the guarantee is provided for the subsequent excavation of the high-frequency road sections entering the parking lot.
Fig. 2 is a flow chart of another data processing method provided in accordance with an embodiment of the present disclosure. The present embodiment provides an alternative embodiment for further optimizing the "determining the second track sequence based on the travel track, the stay track point, and the spatial index between the track point and the parking lot profile" based on the above-described embodiment. As shown in fig. 2, the data processing method of the present embodiment may include:
s201, determining a stay track point from running tracks of different vehicles.
S202, determining a first track sequence according to the running track and the stay track points.
In this embodiment, the first track sequence is a track sequence before parking, and includes a plurality of track points.
Alternatively, for each running track, if there are a plurality of stay track points in the running track, a first stay track point with a time earlier than the first stay track point and a continuous track point with a set time length earlier than the stay track point in the running track are selected as the first track sequence according to the time sequence.
S203, determining the parking lot corresponding to the stay track point based on the spatial index between the track point and the parking lot outline.
Specifically, the parking lot corresponding to the stay track point can be determined by taking the stay track point as an index based on the spatial index between the track point and the contour of the parking lot.
S204, determining a second track sequence according to the first track sequence and the position relation between the stay track points and the parking lot.
In this embodiment, the second track sequence is a track sequence before entering the parking lot; including a plurality of trace points.
The positional relationship between the parking trajectory point and the parking lot includes that the parking trajectory point is inside the parking lot or that the parking trajectory point is outside the parking lot.
Specifically, the position relationship between the stay track point and the parking lot can be judged based on a preset position judgment mode, then the first track sequence is traversed according to the time sequence, the stay track point of the first parking lot is determined from the first track sequence, the stay track point is taken as a dividing point, and the track sequence before the dividing point is intercepted from the first track sequence, so that the second track sequence is obtained.
S205, determining a second road segment set corresponding to the second track sequence based on the binding relation between the driving track and the road data.
S206, determining the high-frequency road sections entering the parking lot according to the second road section set.
According to the technical scheme provided by the embodiment of the disclosure, the stay track points are determined from the running tracks of different vehicles, then the first track sequence is determined according to the running tracks and the stay track points, the parking lot corresponding to the stay track points is determined based on the spatial index between the track points and the outline of the parking lot, then the second track sequence is determined according to the first track sequence and the position relationship between the stay track points and the parking lot, further the second road section set corresponding to the second track sequence is determined based on the binding relationship between the running tracks and the road data, and finally the high-frequency road section entering the parking lot is determined according to the second road section set. According to the technical scheme, the second road section set can be determined accurately and rapidly through the spatial index between the track points and the outline of the parking lot and the binding relation between the driving track and the road data, so that a foundation is laid for the subsequent determination of the high-frequency road section entering the parking lot.
On the basis of the above embodiment, as an optional manner of the present disclosure, determining the first track sequence according to the travel track and the stay track point includes: determining a first dwell point from the dwell trajectory points; and according to the first stopping point, intercepting continuous track points with a first duration from the running track as a first track sequence.
The first parking point is a track point of the terminal parking in the driving track, namely a position point of the vehicle finally parked in the parking lot.
Specifically, the first dwell point, that is, the dwell trajectory point corresponding to the last moment, may be determined from the dwell trajectory points according to the time sequence based on the time corresponding to each dwell trajectory point; and then taking the first stop point and the continuous track point with the first duration before the first stop point in the running track as a first track sequence. The first time period may be set by those skilled in the art according to the actual situation, for example, 5 minutes.
It can be appreciated that the running track is preprocessed to obtain the first track sequence before stopping, and some useless tracks in the running track are removed, so that the second track sequence can be determined quickly.
On the basis of the above embodiment, as an optional manner of the present disclosure, determining the second track sequence according to the first track sequence and the positional relationship between the stay track point and the parking lot includes: determining a second stay point from the stay track points according to the position relation between the stay track points and the parking lot; and intercepting the first track sequence by adopting a second stay point to obtain a second track sequence.
The second stay point enters the stay track point of the parking lot for the first time.
Specifically, the parking track points in the parking lot can be determined according to the position relation between the parking track points and the parking lot, the second parking points are determined from the parking track points in the parking lot based on the time of the parking track points, and then the track sequences between the second parking points in the first track sequence are intercepted by taking the second parking points as dividing points to serve as second track sequences.
It can be understood that the first stay track point entering the parking lot is found, so that the first track sequence is intercepted, and the second track sequence can be obtained quickly and in real time.
On the basis of the above embodiment, as an alternative manner of the present disclosure, further includes: determining a parking lot profile of a parking lot; and establishing a spatial index between the track points and the outline of the parking lot according to the track points and the parking lot data.
Wherein, the parking lot outline refers to the plane shape characteristic of the parking lot.
Specifically, a parking lot outline of the parking lot can be obtained based on a satellite map recognition mode; meanwhile, a large-scale track point is obtained; and then, based on a space index establishment mode, the space index between the track points and the outline of the parking lot can be established according to the track points and the parking lot data. It should be noted that, in this embodiment, the spatial index method is not limited specifically, and may be a custom longitude and latitude index method, such as GeoHash, rtree.
It will be appreciated that providing a way to construct a spatial index between a track point and a parking lot profile may facilitate a quick match to a corresponding parking lot based on a stay track point.
Fig. 3 is a flow chart of yet another data processing method provided in accordance with an embodiment of the present disclosure. The present embodiment provides an alternative implementation manner based on the above embodiment, for further optimizing the "determining the second road segment set corresponding to the second track sequence based on the binding relationship between the driving track and the road data". As shown in fig. 3, the data processing method of the present embodiment may include:
s301, determining a stay track point from running tracks of different vehicles.
S302, determining a first track sequence according to the running track and the stay track points.
S303, determining the parking lot corresponding to the stay track point based on the spatial index between the track point and the parking lot outline.
S304, determining a second track sequence according to the first track sequence and the position relation between the stay track points and the parking lot.
The second track sequence is a track sequence before entering the parking lot;
s305, determining a first road segment set corresponding to the first track sequence based on the binding relation between the driving track and the road data.
In this embodiment, the first road segment set refers to a road segment corresponding to the first track sequence.
Specifically, the first road segment set corresponding to the first track sequence may be searched and determined by using the first track sequence as an index based on the binding relationship between the driving track and the road data.
S306, determining a second road segment set corresponding to the second track sequence from the first road segment set according to the second track sequence.
Specifically, the second track sequence may be used as an index, and a second road segment set corresponding to the second track sequence may be determined from the first road segment set.
S307, determining the high-frequency road sections entering the parking lot according to the second road section set.
According to the technical scheme provided by the embodiment of the disclosure, the stay track points are determined from the running tracks of different vehicles, then the first track sequence is determined according to the running tracks and the stay track points, the parking lot corresponding to the stay track points is determined based on the spatial index between the track points and the outline of the parking lot, then the second track sequence is determined according to the first track sequence and the position relationship between the stay track points and the parking lot, further the first road segment set corresponding to the first track sequence is determined based on the binding relationship between the running tracks and the road data, the second road segment set corresponding to the second track sequence is determined from the first road segment set according to the second track sequence, and finally the high-frequency road segment entering the parking lot is determined according to the second road segment set. According to the technical scheme, the second road section set is determined based on the first road section set determined by the first track sequence, so that the determination efficiency of the second road section set can be improved.
On the basis of the above embodiment, as an alternative manner of the present disclosure, determining, from the second set of road segments, a high-frequency road segment entering the parking lot includes: according to the road identification, the second road segment set carries out road segment splitting to obtain at least one road segment; the method comprises the steps of associating a parking lot with road sections to obtain an association relationship between the parking lot and a single road section; and counting occurrence frequency of the association relation between the parking lot and the single road section in the set time period, and obtaining the high-frequency road section entering the parking lot. Wherein the set time period can be set by a person skilled in the art according to the actual situation.
The road identifier refers to data for uniquely identifying a road, and may be, for example, a road name.
Specifically, road sections of the second road section set can be split according to road identifications to obtain at least one road section, and then the parking lot and each road section are in one-to-one association to obtain an association relationship between the parking lot and a single road section; for example, the parking lot is park_id, the second road set is (link_1, link_2, link_3, …, link_n), where n is a positive integer; the association relationship between the parking lot and the single road section is (park_id, link_1), (park_id, link_2), (park_id, link_3), …, (park_id, link_n), respectively.
Further, the association between the parking lot and the single road section within the set period of time is determined, and then the occurrence frequency of the association between each parking lot and the single road section is counted, for example, the occurrence frequency of the association between the parking lot and the single road section is as follows:
(park_1,link_1)，1；
(park_1,link_2)，1；
(park_1,link_1)，1；
(park_1,link_1)，1；
(park_2,link_3)，1。
the final statistics results in the association between the parking lot and the single road section as follows:
(park_1,link_1)，3；
(park_1,link_2)，1。
(park_2,link_3)，1。
finally, taking the road section with the highest occurrence frequency as a high-frequency road section entering the parking lot, wherein the high-frequency road section of the park_1 of the parking lot is link_1; the high frequency link of parking lot park_2 is link_3.
It can be appreciated that a way of determining the high frequency link is provided to provide accurate guidance for subsequent navigation.
Fig. 4 is a schematic structural view of a data processing apparatus according to an embodiment of the present disclosure. The disclosed embodiments are applicable to the case of how to determine a high-frequency road section of a parking lot. The apparatus may be implemented in software and/or hardware and may be integrated in an electronic device carrying data processing functions, such as a server. As shown in fig. 4, the data processing apparatus 400 may include:
a stay track point determining module 401, configured to determine a stay track point from a travel track of a different vehicle;
A second track sequence determining module 402, configured to determine a second track sequence according to the driving track, the stay track point, and a spatial index between the track point and the parking lot contour; the second track sequence is a track sequence before entering the parking lot;
a second road segment set determining module 403, configured to determine a second road segment set corresponding to the second track sequence based on a binding relationship between the driving track and the road data;
the high-frequency road segment determining module 404 is configured to determine a high-frequency road segment entering the parking lot according to the second road segment set.
According to the technical scheme provided by the embodiment of the disclosure, the stay track points are determined from the running tracks of different vehicles, then the second track sequence is determined according to the running tracks, the stay track points and the spatial indexes between the track points and the outlines of the parking lot, further the second road section set corresponding to the second track sequence is determined based on the binding relation between the running tracks and the road data, and finally the high-frequency road section entering the parking lot is determined according to the second road section set. According to the technical scheme, compared with the prior art that the problem that the cost is high, the time efficiency is poor and the like is caused by acquiring the related data of the parking lot based on field collection or third party cooperation, the high-frequency road section entering the parking lot is determined only through different driving tracks, the road section entering the parking lot can be accurately excavated, and particularly under the condition that a plurality of parking lot inlets exist or the parking lot does not have a fixed inlet, the road section entering the parking lot can be rapidly and accurately excavated, so that the navigation is convenient.
Further, the stay track point determining module 401 is specifically configured to:
determining continuous track points from the running tracks of different vehicles;
and determining whether the continuous track point is a stay track point according to the instantaneous speed and the position of the continuous track point.
Further, the second track sequence determining module 402 includes:
the first track sequence determining unit is used for determining a first track sequence according to the running track and the stay track points;
the parking lot determining unit is used for determining a parking lot corresponding to the stay track point based on the spatial index between the track point and the contour of the parking lot;
and the second track sequence determining unit is used for determining the second track sequence according to the first track sequence and the position relation between the stay track points and the parking lot.
Further, the first track sequence determining unit is specifically configured to:
determining a first dwell point from the dwell trajectory points; the first stopping point is a track point of the terminal stop in the driving track;
and according to the first stopping point, intercepting continuous track points with a first duration from the running track as a first track sequence.
Further, the second track sequence determining unit is specifically configured to:
determining a second stay point from the stay track points according to the position relation between the stay track points and the parking lot; the second stay point enters a stay track point of the parking lot for the first time;
And intercepting the first track sequence by adopting a second stay point to obtain a second track sequence.
Further, the second road segment set determining module 403 is specifically configured to:
determining a first road segment set corresponding to a first track sequence based on a binding relation between the driving track and road data;
and determining a second road segment set corresponding to the second track sequence from the first road segment set according to the second track sequence.
Further, the high-frequency road section determining module 404 is specifically configured to:
according to the road identification, the second road segment set carries out road segment splitting to obtain at least one road segment;
the method comprises the steps of associating a parking lot with road sections to obtain an association relationship between the parking lot and a single road section;
and counting occurrence frequency of the association relation between the parking lot and the single road section in the set time period, and obtaining the high-frequency road section entering the parking lot.
Further, the apparatus further comprises:
the parking lot profile determining module is used for determining the parking lot profile of the parking lot;
and the spatial index establishing module is used for establishing a spatial index between the track points and the outline of the parking lot according to the track points and the parking lot data.
Further, the high frequency road section is used for navigation guidance of the parking lot.
According to embodiments of the present disclosure, the present disclosure also provides an electronic device, a readable storage medium and a computer program product.
Fig. 5 is a block diagram of an electronic device for implementing a data processing method of an embodiment of the present disclosure. Fig. 5 illustrates a schematic block diagram of an example electronic device 500 that may 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 telephones, smartphones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions, are meant to be exemplary only, and are not meant to limit implementations of the disclosure described and/or claimed herein.
As shown in fig. 5, the electronic device 500 includes a computing unit 501 that can perform various appropriate actions and processes according to a computer program stored in a Read Only Memory (ROM) 502 or a computer program loaded from a storage unit 508 into a Random Access Memory (RAM) 503. In the RAM 503, various programs and data required for the operation of the electronic device 500 may also be stored. The computing unit 501, ROM 502, and RAM 503 are connected to each other by a bus 504. An input/output (I/O) interface 505 is also connected to bus 504.
A number of components in electronic device 500 are connected to I/O interface 505, including: an input unit 506 such as a keyboard, a mouse, etc.; an output unit 507 such as various types of displays, speakers, and the like; a storage unit 508 such as a magnetic disk, an optical disk, or the like; and a communication unit 509 such as a network card, modem, wireless communication transceiver, etc. The communication unit 509 allows the electronic device 500 to exchange information/data with other devices via a computer network such as the internet and/or various telecommunication networks.
The computing unit 501 may be a variety of general and/or special purpose processing components having processing and computing capabilities. Some examples of computing unit 501 include, but are not limited to, a Central Processing Unit (CPU), a Graphics Processing Unit (GPU), various specialized Artificial Intelligence (AI) computing chips, various computing units running machine learning model algorithms, a Digital Signal Processor (DSP), and any suitable processor, controller, microcontroller, etc. The computing unit 501 performs the respective methods and processes described above, such as a data processing method. For example, in some embodiments, the data processing method may be implemented as a computer software program tangibly embodied on a machine-readable medium, such as storage unit 508. In some embodiments, part or all of the computer program may be loaded and/or installed onto the electronic device 500 via the ROM 502 and/or the communication unit 509. When a computer program is loaded into RAM 503 and executed by computing unit 501, one or more steps of the data processing method described above may be performed. Alternatively, in other embodiments, the computing unit 501 may be configured to perform the data processing method by any other suitable means (e.g. by means of firmware).
Various implementations of the systems and techniques described here above can be implemented in digital electronic circuitry, integrated circuit systems, field Programmable Gate Arrays (FPGAs), application Specific Integrated Circuits (ASICs), application Specific Standard Products (ASSPs), systems On Chip (SOCs), complex Programmable Logic Devices (CPLDs), computer hardware, firmware, software, and/or combinations thereof. These various embodiments may include: implemented in one or more computer programs, the one or more computer programs may be executed and/or interpreted on a programmable system including at least one programmable processor, which may be a special purpose or general-purpose programmable processor, that may receive data and instructions from, and transmit data and instructions to, a storage system, at least one input device, and at least one output device.
Program code for carrying out methods of the present disclosure may be written in any combination of one or more programming languages. These program code 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 code, when executed by the processor or controller, causes the functions/operations specified in the flowchart and/or block diagram to be implemented. 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. The 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 pointing device (e.g., a mouse or 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 may 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 input, speech input, or tactile input.
The systems and techniques described here can be implemented in a computing system that includes a background 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 background, 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 a client and a server. The client and server are typically 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. The server may be a cloud server, a server of a distributed system, or a server incorporating a blockchain.
Artificial intelligence is the discipline of studying the process of making a computer mimic certain mental processes and intelligent behaviors (e.g., learning, reasoning, thinking, planning, etc.) of a person, both hardware-level and software-level techniques. Artificial intelligence hardware technologies generally include technologies such as sensors, dedicated artificial intelligence chips, cloud computing, distributed storage, big data processing, and the like; the artificial intelligent software technology mainly comprises a computer vision technology, a voice recognition technology, a natural language processing technology, a machine learning/deep learning technology, a big data processing technology, a knowledge graph technology and the like.
Cloud computing (cloud computing) refers to a technical system that a shared physical or virtual resource pool which is elastically extensible is accessed through a network, resources can comprise servers, operating systems, networks, software, applications, storage devices and the like, and resources can be deployed and managed in an on-demand and self-service mode. Through cloud computing technology, high-efficiency and powerful data processing capability can be provided for technical application such as artificial intelligence and blockchain, and model training.
It should be appreciated that various forms of the flows shown above may be used to reorder, add, or delete steps. For example, the steps recited in the present disclosure may be performed in parallel or sequentially or in a different order, provided that the desired results of the technical solutions of the present disclosure are achieved, and are not limited herein.
The above detailed description should not be taken as limiting the scope of the present disclosure. It will be apparent to those skilled in the art that various modifications, combinations, sub-combinations and alternatives are possible, depending on design requirements and other factors. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present disclosure are intended to be included within the scope of the present disclosure.
Claims (21)
1. A data processing method, comprising:
determining a stay track point from the running tracks of different vehicles;
determining a second track sequence according to the running track, the stay track points and the spatial indexes between the track points and the outline of the parking lot; the second track sequence is a track sequence before entering a parking lot;
determining a second road segment set corresponding to a second track sequence based on the binding relation between the driving track and the road data;
and determining the high-frequency road sections entering the parking lot according to the second road section set.
2. The method of claim 1, wherein the determining the dwell trajectory point from the travel trajectories of the different vehicles comprises:
determining continuous track points from the running tracks of different vehicles;
and determining whether the continuous track point is a stay track point according to the instantaneous speed and the position of the continuous track point.
3. The method of claim 1, wherein the determining a second track sequence from the travel track, the stay track point, and a spatial index between track points and a parking lot profile comprises:
determining a first track sequence according to the running track and the stay track points;
determining a parking lot corresponding to the stay track point based on a spatial index between the track point and the parking lot contour;
and determining a second track sequence according to the first track sequence and the position relation between the stay track points and the parking lot.
4. A method according to claim 3, wherein said determining a first track sequence from said travel track and said dwell track point comprises:
determining a first dwell point from the dwell trajectory points; the first stopping point is a track point of the driving track when the terminal is stopped;
and intercepting continuous track points with first duration from the running track according to the first stop points to serve as a first track sequence.
5. A method according to claim 3, wherein said determining a second track sequence from the first track sequence and the positional relationship between the stay track points and the parking lot comprises:
Determining a second stay point from the stay track points according to the position relation between the stay track points and the parking lot; the second stay point enters a stay track point of the parking lot for the first time;
and intercepting the first track sequence by adopting the second stopping point to obtain a second track sequence.
6. The method of claim 3, wherein the determining the second set of road segments corresponding to the second sequence of trajectories based on the binding relationship between the travel trajectories and the road data comprises:
determining a first road segment set corresponding to a first track sequence based on a binding relation between the driving track and road data;
and determining a second road section set corresponding to the second track sequence from the first road section set according to the second track sequence.
7. The method of claim 1, wherein the determining high frequency road segments into the parking lot from the second set of road segments comprises:
according to the road identification, the second road section set carries out road section splitting to obtain at least one road section;
the parking lot and the road sections are associated to obtain an association relation between the parking lot and a single road section;
and counting occurrence frequency of the association relation between the parking lot and the single road section in the set time period, and obtaining the high-frequency road section entering the parking lot.
8. The method of any of claims 1-7, further comprising:
determining a parking lot profile of a parking lot;
and establishing a spatial index between the track points and the outline of the parking lot according to the track points and the parking lot data.
9. The method of any of claims 1-7, wherein the high frequency road segment is used for navigation guidance of a parking lot.
10. A data processing apparatus comprising:
the stay track point determining module is used for determining stay track points from the running tracks of different vehicles;
the second track sequence determining module is used for determining a second track sequence according to the running track, the stay track points and the spatial indexes between the track points and the outline of the parking lot; the second track sequence is a track sequence before entering a parking lot;
the second road segment set determining module is used for determining a second road segment set corresponding to the second track sequence based on the binding relation between the driving track and the road data;
and the high-frequency road section determining module is used for determining the high-frequency road section entering the parking lot according to the second road section set.
11. The apparatus of claim 10, wherein the dwell trajectory point determination module is specifically configured to:
Determining continuous track points from the running tracks of different vehicles;
and determining whether the continuous track point is a stay track point according to the instantaneous speed and the position of the continuous track point.
12. The apparatus of claim 10, wherein the second trajectory sequence determination module comprises:
the first track sequence determining unit is used for determining a first track sequence according to the running track and the stay track points;
the parking lot determining unit is used for determining a parking lot corresponding to the stay track point based on the spatial index between the track point and the contour of the parking lot;
and the second track sequence determining unit is used for determining a second track sequence according to the first track sequence and the position relation between the stay track points and the parking lot.
13. The apparatus of claim 12, wherein the first track sequence determining unit is specifically configured to:
determining a first dwell point from the dwell trajectory points; the first stopping point is a track point of the driving track when the terminal is stopped;
and intercepting continuous track points with first duration from the running track according to the first stop points to serve as a first track sequence.
14. The apparatus of claim 12, wherein the second track sequence determination unit is specifically configured to:
determining a second stay point from the stay track points according to the position relation between the stay track points and the parking lot; the second stay point enters a stay track point of the parking lot for the first time;
and intercepting the first track sequence by adopting the second stopping point to obtain a second track sequence.
15. The apparatus of claim 12, wherein the second road segment set determining module is specifically configured to:
determining a first road segment set corresponding to a first track sequence based on a binding relation between the driving track and road data;
and determining a second road section set corresponding to the second track sequence from the first road section set according to the second track sequence.
16. The apparatus of claim 10, wherein the high frequency link determination module is specifically configured to:
according to the road identification, the second road section set carries out road section splitting to obtain at least one road section;
the parking lot and the road sections are associated to obtain an association relation between the parking lot and a single road section;
and counting occurrence frequency of the association relation between the parking lot and the single road section in the set time period, and obtaining the high-frequency road section entering the parking lot.
17. The apparatus of any of claims 10-16, further comprising:
the parking lot profile determining module is used for determining the parking lot profile of the parking lot;
and the spatial index establishing module is used for establishing a spatial index between the track points and the outline of the parking lot according to the track points and the parking lot data.
18. The apparatus of any of claims 10-16, wherein the high frequency road segment is used for navigation guidance of a parking lot.
19. 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 data processing method of any one of claims 1-9.
20. A non-transitory computer readable storage medium storing computer instructions for causing a computer to perform the data processing method according to any one of claims 1-9.
21. A computer program product comprising a computer program which, when executed by a processor, implements the data processing method according to any of claims 1-9.
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| CN202311088334.4A CN117149929A (en) | 2023-08-25 | 2023-08-25 | Data processing method, device, equipment and storage medium |
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| CN202311088334.4A CN117149929A (en) | 2023-08-25 | 2023-08-25 | Data processing method, device, equipment and storage medium |
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