CN111464949B - Position correction method and device, readable storage medium and electronic equipment - Google Patents
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Abstract
The embodiment of the invention discloses a method and a device for correcting a position, a readable storage medium and electronic equipment. The embodiment of the invention receives data from a target resource distribution terminal; analyzing the data through at least one processor to obtain a plurality of position sampling points of the target distribution resources within set time; automatically determining, by at least one processor, a velocity and a location position of the plurality of location sampling points; and determining any position sampling point as a drift point in response to the fact that any position sampling point in the plurality of position sampling points meets a set condition. By the method, the drift point of the target distribution resource in the distribution process can be determined, namely the inaccurate positioning position of the target distribution resource terminal in the distribution process is judged.
Description
Technical Field
The invention relates to the field of data processing, in particular to a method and a device for correcting a position, a readable storage medium and electronic equipment.
Background
With the development of science and technology and the progress of society, industries such as express delivery, take-out and the like bring more and more convenience to daily life of people, and in the distribution process, the position of a distribution resource is required to be accurately determined.
In the prior art, the position of the distributed resource is located by a mobile phone terminal for distributing the resource, but the location of the distributed resource is inaccurate due to drift occurring when the mobile phone terminal is located, for example, the distributed resource reaches a set position at a specified time, and under a normal condition, the actual position where the mobile phone terminal is located is the set position.
Disclosure of Invention
In view of this, embodiments of the present invention provide a method and an apparatus for position correction, a readable storage medium, and an electronic device, which can determine a position of a distributed resource, where the distributed resource is positioned inaccurately in a distribution process.
In a first aspect, an embodiment of the present invention provides a method for correcting a position, where the method includes: receiving data from a target distribution resource terminal; analyzing the data through at least one processor to obtain a plurality of position sampling points of the target distribution resources within set time; automatically determining, by at least one processor, a velocity and a location position of the plurality of location sampling points; and determining any position sampling point as a drift point in response to the fact that any position sampling point in the plurality of position sampling points meets a set condition.
Preferably, automatically estimating, by at least one processor, a corrected location of the drift point; replacing, by at least one processor, the corrected location with the localized location.
Preferably, the responding that any one of the plurality of position sampling points meets a set condition specifically includes: in response to a velocity of any one of the plurality of position sampling points being greater than a set threshold.
Preferably, the speed of any position sampling point is a ratio of a first distance to a sampling time interval, wherein the first distance is a distance between a position sampling point before any position sampling point and any position sampling point.
Preferably, the responding that any one of the plurality of position sampling points meets a set condition specifically includes: responding to any position sampling point out of the plurality of position sampling points, wherein the position sampling point is out of a clustering range, and the clustering range is a cluster of a plurality of position sampling points of the target distribution resource in the set time, and the speed of the plurality of position sampling points is less than or equal to a set threshold value.
Preferably, the automatically estimating, by at least one processor, the corrected position of the drift point specifically includes: the at least one processor determines a second distance between the correction position and a sampling point at a position before the drift point according to the average speed of the target distribution resources; and the at least one processor determines the correction position of the drift point according to the second distance and the delivery direction of the target delivery resource.
In a second aspect, an embodiment of the present invention provides an apparatus for correcting a position, where the method includes: a receiving unit, configured to receive data from a target distribution resource terminal; the acquisition unit is used for analyzing the data through at least one processor and acquiring a plurality of position sampling points of the target distribution resources within set time; a determining unit for automatically determining, by at least one processor, a velocity and a location position of the plurality of location sampling points; the determining unit is further configured to determine any one of the plurality of position sampling points as a drift point in response to the fact that the any one of the plurality of position sampling points meets a set condition.
In a third aspect, an embodiment of the present invention provides a computer-readable storage medium on which computer program instructions are stored, which when executed by a processor implement the method according to the first aspect or any one of the possibilities of the first aspect.
In a fourth aspect, an embodiment of the present invention provides an electronic device, including a memory and a processor, where the memory is used to store one or more computer program instructions, where the one or more computer program instructions are executed by the processor to implement the following steps: receiving data from a target distribution resource terminal; analyzing the data through at least one processor to obtain a plurality of position sampling points of the target distribution resources within set time; automatically determining, by at least one processor, a velocity and a location position of the plurality of location sampling points; and determining any position sampling point as a drift point in response to the fact that any position sampling point in the plurality of position sampling points meets a set condition.
Preferably, the processor is further configured to perform the steps of: automatically estimating, by at least one processor, a corrected location of the drift point; replacing, by at least one processor, the corrected location with the localized location.
Preferably, the processor specifically executes the following steps: in response to a velocity of any one of the plurality of position sampling points being greater than a set threshold.
Preferably, the speed of any position sampling point is a ratio of a first distance to a sampling time interval, wherein the first distance is a distance between a position sampling point before any position sampling point and any position sampling point.
Preferably, the processor specifically executes the following steps: responding to any position sampling point out of the plurality of position sampling points, wherein the position sampling point is out of a clustering range, and the clustering range is a cluster of a plurality of position sampling points of the target distribution resource in the set time, and the speed of the plurality of position sampling points is less than or equal to a set threshold value.
Preferably, the processor specifically executes the following steps: the at least one processor determines a second distance between the correction position and a sampling point at a position before the drift point according to the average speed of the target distribution resources; and the at least one processor determines the correction position of the drift point according to the second distance and the delivery direction of the target delivery resource.
The embodiment of the invention receives data from a target resource distribution terminal; analyzing the data through at least one processor to obtain a plurality of position sampling points of the target distribution resources within set time; automatically determining, by at least one processor, a velocity and a location position of the plurality of location sampling points; and determining any position sampling point as a drift point in response to the fact that any position sampling point in the plurality of position sampling points meets a set condition. By the method, the drift point of the target distribution resource in the distribution process can be determined, namely the inaccurate positioning position of the target distribution resource terminal in the distribution process is judged.
Drawings
The above and other objects, features and advantages of the present invention will become more apparent from the following description of the embodiments of the present invention with reference to the accompanying drawings, in which:
FIG. 1 is a diagram illustrating a target delivery resource location in the prior art;
FIG. 2 is a flow chart of a method of position correction according to a first embodiment of the present invention;
FIG. 3 is a velocity versus time profile of the first embodiment of the present invention;
FIG. 4 is a schematic diagram of another velocity vs. time clustering according to the first embodiment of the present invention;
FIG. 5 is a flow chart of another method of position correction according to the second embodiment of the present invention;
FIG. 6 is a diagram of a target delivery resource location according to a second embodiment of the present invention;
FIG. 7 is a schematic diagram of a target distribution resource location according to a second embodiment of the present invention;
FIG. 8 is a diagram of a second embodiment of a target delivery resource location intent;
FIG. 9 is a diagram of an application scenario of the third embodiment of the present invention;
FIG. 10 is a schematic view of a position correction apparatus according to a fourth embodiment of the present invention;
fig. 11 is a schematic view of an electronic apparatus according to a fifth embodiment of the present invention.
Detailed Description
The present disclosure is described below based on examples, but the present disclosure is not limited to only these examples. In the following detailed description of the present disclosure, certain specific details are set forth. It will be apparent to those skilled in the art that the present disclosure may be practiced without these specific details. Well-known methods, procedures, components and circuits have not been described in detail so as not to obscure the present disclosure.
Further, those of ordinary skill in the art will appreciate that the drawings provided herein are for illustrative purposes and are not necessarily drawn to scale.
Unless the context clearly requires otherwise, throughout this specification, the words "comprise", "comprising", and the like are to be construed in an inclusive sense as opposed to an exclusive or exhaustive sense; that is, what is meant is "including, but not limited to".
In the description of the present disclosure, it is to be understood that the terms "first," "second," and the like are used for descriptive purposes only and are not to be construed as indicating or implying relative importance. In addition, in the description of the present disclosure, "a plurality" means two or more unless otherwise specified.
Generally, in the prior art, the location of a resource is located by a mobile phone terminal that distributes the resource, but the location of the resource is inaccurate due to drift occurring when the mobile phone terminal is located, specifically, the resource has already reached a set location at a specified time, but the mobile phone terminal that distributes the resource has drifted at that time, where the drift is an actual location where the mobile phone terminal should be located, but after the drift occurs, the mobile phone terminal is located to another location that is a certain distance away from the actual location, the location that is located after the drift is called a drift point, the resource is located to a drift point that is a certain distance away from the set location, which results in inaccurate location, for example, it is assumed that a distribution task a needs to be configured from a location to b location, and after the resource reaches b location, the actual position of the mobile phone terminal for distributing the resources is also at the position b, but when the distributed resources reach the position b, the positioning of the mobile phone terminal drifts, and the distributed resources are positioned to the position c which has a certain distance from the position b.
In the embodiment of the present invention, the actual distribution route from the position a to the position b in fig. 1 is only an exemplary description, in an actual application, in the process from the position a to the position b, there may be other drift points when the mobile phone terminal that distributes resources performs positioning, the mobile phone terminal may also be referred to as a resource distribution terminal, and the name of the mobile phone terminal is not limited in the present invention, as long as the mobile phone terminal can position the resource distribution position.
Fig. 2 is a flowchart of a method of position correction according to a first embodiment of the present invention. As shown in fig. 1, the method specifically comprises the following steps:
step S200, receiving data from the target resource distribution terminal.
Specifically, the target distribution resource terminal reports data to the server at set time intervals, where the target distribution resource may be a person or a machine, the distribution resource terminal may be a mobile phone, a tablet, or other device capable of positioning the position of the distribution resource, and the reported data carries a plurality of position sampling points, and position information and time information corresponding to each position sampling point.
In the embodiment of the present invention, the set time interval may also be referred to as a sampling time interval, which is not limited in the present invention.
For example, the data from the target delivery resource terminal is received every 20 seconds(s), i.e., the sampling time interval is 20 s.
Step S201, analyzing the data through at least one processor, and acquiring a plurality of position sampling points of the target distribution resource within a set time.
Specifically, assuming that the set time is 5 minutes and the sampling time interval is 20s, the number of position sampling points of the target distribution resource in 5 minutes is 16, assuming that the initial sampling time is 0s, the corresponding times are 0s, 20s, 40s, 60s, 80s, 100s, 120s, 140s, 160s, 180s, 200s, 220s, 240s, 260s, 280s, and 300s, respectively. In practical applications, the setting time may be 10 minutes, 20 minutes, and the like, and the sampling time interval may be 5s, 10s, and the like, which is not limited in the present invention.
Step S202, automatically determining the speed and the positioning position of the plurality of position sampling points through at least one processor.
Specifically, the speed of any position sampling point is a ratio of a first distance to a sampling time interval, where the first distance is a distance between a sampling point at a position before the any position sampling point and the any position sampling point.
In the embodiment of the invention, the position information and the time information sent by a target resource distribution terminal at intervals of sampling time are received, wherein the position information comprises the positioning position of a position sampling point, and the time information comprises the time when data is sent.
For example, assuming that 16 position sampling points need to be acquired, the time of the acquired 6 th position sampling point is 18 hours, 10 minutes and 20 seconds, the time of the acquired 7 th position sampling point is 18 hours, 10 minutes and 40 seconds, the positioning position of the 6 th position sampling point is a d position, the positioning position of the 7 th position sampling point is an e position, and the linear distance from the d position to the e position is 295 meters, since the path of the target distribution resource during distribution may not be a linear distance, it is usually necessary to calculate an actual distance according to the linear distance, which may also be referred to as a navigation distance, and assuming that the actual distance is 1.4 times the linear distance, the actual distance from the d position to the e position is about 400 meters, in the embodiment of the present invention, the distance between the d position and the e position may also be the linear distance, and the actual distance may also be 1.6 times the linear distance, 2 times, the invention does not limit it.
Assuming that the actual distance from the d position to the e position is about 400 meters (m) and the required time is 20 seconds, the position of the 7 th position sampling point is the e position, and the speed of the 7 th position sampling point is 400 meters/20 seconds, which is 20 m/s.
Step S203, responding to the fact that any position sampling point in the plurality of position sampling points accords with a set condition, and determining the any position sampling point as a drift point.
Specifically, when determining the drift point by setting conditions, the method is divided into two modes:
the first mode is that the speed of any position sampling point in the plurality of position sampling points is larger than a set threshold value.
In the embodiment of the invention, if the set threshold of the speed of the target distribution resource is 30m/s, that is, the fastest speed of the target distribution resource is 30m/s, and is greater than the set threshold, the position sampling point of the task is a drift point, for example, if the speed of the 8 th position sampling point relative to the last position sampling point is 50m/s, the target distribution resource cannot reach the speed in an actual situation, which indicates that the position of the 8 th position sampling point has drifted, and the linear distance between the 7 th position sampling point and the 8 th position sampling point is greater than the actual linear distance.
In one embodiment, the velocity versus time profile of the location samples is shown in FIG. 3, where the horizontal axis is the sampling time interval and the vertical axis is the velocity relative to the previous location sample, the histogram above FIG. 3 is a time interval histogram, and the histogram on the right side of FIG. 3 is a velocity histogram. As can be seen from FIG. 3, the position sampling points with the velocity of 0m/s to 25m/s are more, and the drift of the position sampling points is shown when the velocity of the position sampling points is around 60m/s and 80 m/s.
Responding to any position sampling point out of the plurality of position sampling points, wherein the clustering range is the clustering of a plurality of position sampling points with the speed less than or equal to a set threshold value in the plurality of position sampling points of the target distribution resource in the set time.
In a specific embodiment, assuming that the number of position samples is multiple, clustering is performed on position samples with a speed less than or equal to 25m/s, and a clustering range generated after clustering is shown in fig. 4, wherein a horizontal axis is a sampling time interval, a vertical axis is a speed relative to a previous position sample, a normal distribution diagram above fig. 4 is a time normal distribution diagram, which shows that there are more position samples with a time interval at 20s, and a normal distribution diagram at the right side of fig. 4 is a speed normal distribution diagram, which shows that there are more position samples with a speed of 0m/s to 5m/s, specifically, since a target distribution resource does not travel when not distributing, the speed is 0, and the speed needs to increase from low to high when starting, and thus there are more position samples with a low speed.
The embodiment of the invention receives data from a target resource distribution terminal; analyzing the data through at least one processor to obtain a plurality of position sampling points of the target distribution resources within set time; automatically determining, by at least one processor, a velocity and a location position of the plurality of location sampling points; and determining any position sampling point as a drift point in response to the fact that any position sampling point in the plurality of position sampling points meets a set condition. By the method, the drift point of the target distribution resource in the distribution process can be determined, namely the inaccurate positioning position of the target distribution resource terminal in the distribution process is judged.
In a possible implementation manner, as shown in fig. 5, after step S203, the second embodiment of the present invention further includes the following steps:
step S204, automatically estimating the correction position of the drift point through at least one processor.
Specifically, the at least one processor determines a second distance between the correction position and a sampling point at a position before the drift point according to the average speed of the target distribution resource; and the at least one processor determines the correction position of the drift point according to the second distance and the delivery direction of the target delivery resource.
For example, as shown in fig. 6, it is determined that the 8 th position sampling point is a drift point, the average speed of the target distribution resource is determined according to the 2 nd position sampling point, the 3 rd position sampling point, the 4 th position sampling point, the 5 th position sampling point, the 6 th position sampling point, and the 7 th position sampling point, the product of the average speed and the sampling time interval is determined as the actual linear distance between the 7 th position sampling point and the 8 th position sampling point, that is, the second distance, and then the corrected position {8} of the 8 th position sampling point, that is, the correct position is determined according to the distribution direction of the target distribution resource.
Step S205, replacing the positioning location with the corrected location by at least one processor.
In a specific embodiment, the position sampling point and the distribution path drawn on the map by the server according to the received data of the target resource distribution terminal are as shown in fig. 7, according to the above method, the position sampling point X, Y, Z can be determined as a drift point, the corrected positions { X }, { Y }, and { Z } of the drift point X, Y, Z are determined according to the above method, then the positioning position is replaced according to the corrected position, and the replaced position sampling point and distribution path as shown in fig. 8 are determined, in fig. 7 and fig. 8, only the drift point and the corrected position are described in detail, and the other position sampling points are not described again.
In the embodiment of the invention, the drift point can be subjected to position correction by the method, and the actual position of the distributed resource is accurately determined.
The method for correcting the position of the taxi needs to be described in detail below by a specific embodiment, and it is assumed that when a taxi dispatching platform needs to dispatch a taxi, the taxi dispatching platform needs to accurately acquire the positioning position information of the taxi, but since the problems of speed adjustment, network signal change and the like of the taxi may occur in the process of traveling of the taxi, positioning delay or positioning deviation of the taxi may be caused, and therefore, at the taxi end, the accurate positioning position of the taxi needs to be determined in an auxiliary manner by processing current information of the speed of the taxi, the acceleration of the taxi, the driving direction of the taxi, the geographic position and the like. In the embodiment of the invention, specifically, a plurality of position sampling points of a vehicle are firstly obtained, then the speeds and the geographic positions of the position sampling points are determined, the drift points in the sampling points are judged, then the corrected position of the vehicle is determined according to the speed of the vehicle, the acceleration of the vehicle and the driving direction of the vehicle, and then the corrected position of the vehicle is replaced by the current vehicle positioning position.
In a possible implementation manner, the method for correcting the position of the invention can also be applied to aspects of navigation deviation correction, unmanned driving, walking navigation, and the like, and the specific processing manner is the same as the above-mentioned manner, which is not described in detail herein.
Fig. 9 is an application scenario diagram of a third embodiment of the present invention, including a server and a target resource distribution terminal, where the server may also be referred to as a platform, a system, and the like, the target resource distribution terminal may be a mobile phone, a tablet, and the like, and may be a device capable of positioning a position of a target resource distribution, the number of the target resource distribution terminals is multiple, and the server receives data from the target resource distribution terminal; analyzing the data through at least one processor to obtain a plurality of position sampling points of the target distribution resources within set time; automatically determining, by at least one processor, a velocity and a location position of the plurality of location sampling points; and determining any position sampling point as a drift point in response to the fact that any position sampling point in the plurality of position sampling points meets a set condition. By the method, the position of the delivery resource which is positioned inaccurately in the delivery process is determined.
Fig. 10 is a schematic diagram of a position correction apparatus according to a fourth embodiment of the present invention. As shown in fig. 10, the apparatus of the present embodiment includes a receiving unit 1001, an acquiring unit 1002, a determining unit 1003, a processing unit 1004, and a correcting unit 1005.
Wherein, the receiving unit 1001 is configured to receive data from a target resource distribution terminal; an obtaining unit 1002, configured to analyze the data through at least one processor, and obtain a plurality of position sampling points of a target distribution resource within a set time; a determining unit 1003 for automatically determining, by at least one processor, the speed and the positioning position of the plurality of position sampling points; the determining unit 1003 is further configured to determine, in response to that any one of the plurality of position sampling points meets a set condition, that the any one of the position sampling points is a drift point.
Further, the apparatus further comprises: a processing unit 1004 for automatically estimating, by at least one processor, a corrected position of the drift point; a correction unit 1005 for replacing, by at least one processor, the location position with the corrected position.
Further, the determining unit is specifically configured to: in response to a velocity of any one of the plurality of position sampling points being greater than a set threshold.
Further, the speed of any position sampling point is a ratio of a first distance to a sampling time interval, where the first distance is a distance between a sampling point at a position before the any position sampling point and the any position sampling point.
Further, the determining unit is specifically configured to: responding to any position sampling point out of the plurality of position sampling points, wherein the position sampling point is out of a clustering range, and the clustering range is a cluster of a plurality of position sampling points of the target distribution resource in the set time, and the speed of the plurality of position sampling points is less than or equal to a set threshold value.
Further, the processing unit is specifically configured to: the at least one processor determines a second distance between the correction position and a sampling point at a position before the drift point according to the average speed of the target distribution resources; and the at least one processor determines the correction position of the drift point according to the second distance and the delivery direction of the target delivery resource.
Fig. 11 is a schematic view of an electronic apparatus according to a fifth embodiment of the present invention. In this embodiment, the electronic device is a server. It should be understood that other electronic devices, such as raspberry pies, are also possible. As shown in fig. 11, the electronic device: at least one processor 1101; and a memory 1102 communicatively coupled to the at least one processor 1101; and a communication component 1103 communicatively connected to the scanning device, the communication component 1103 receiving and sending data under control of the processor 1101; wherein the memory 1102 stores instructions executable by the at least one processor 1101 to perform, by the at least one processor 1101: receiving data from a target distribution resource terminal; analyzing the data through at least one processor to obtain a plurality of position sampling points of the target distribution resources within set time; automatically determining, by at least one processor, a velocity and a location position of the plurality of location sampling points; and determining any position sampling point as a drift point in response to the fact that any position sampling point in the plurality of position sampling points meets a set condition.
Further, the processor performs the steps of: automatically estimating, by at least one processor, a corrected location of the drift point; replacing, by at least one processor, the corrected location with the localized location.
Further, the processor specifically executes the following steps: in response to a velocity of any one of the plurality of position sampling points being greater than a set threshold.
Further, the speed of any position sampling point is a ratio of a first distance to a sampling time interval, where the first distance is a distance between a sampling point at a position before the any position sampling point and the any position sampling point.
Further, the processor specifically executes the following steps: responding to any position sampling point out of the plurality of position sampling points, wherein the position sampling point is out of a clustering range, and the clustering range is a cluster of a plurality of position sampling points of the target distribution resource in the set time, and the speed of the plurality of position sampling points is less than or equal to a set threshold value.
Further, the processor specifically executes the following steps: the at least one processor determines a second distance between the correction position and a sampling point at a position before the drift point according to the average speed of the target distribution resources; and the at least one processor determines the correction position of the drift point according to the second distance and the delivery direction of the target delivery resource.
Specifically, the electronic device includes: one or more processors 1101 and a memory 1102, with one processor 1101 being illustrated in fig. 11. The processor 1101 and the memory 1102 may be connected by a bus or other means, such as the bus in fig. 11. Memory 1102, which is a non-volatile computer-readable storage medium, may be used to store non-volatile software programs, non-volatile computer-executable programs, and modules. The processor 1101 executes various functional applications of the device and data processing, i.e., implements the above-described method of position correction, by running non-volatile software programs, instructions, and modules stored in the memory 1102.
The memory 1102 may include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function; the storage data area may store a list of options, etc. Further, the memory 1102 may include high speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other non-volatile solid state storage device. In some embodiments, the memory 1102 may optionally include memory located remotely from the processor 1101, which may be connected to an external device via a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
One or more modules are stored in the memory 1102, which when executed by the one or more processors 1101, perform the method of position correction in any of the method embodiments described above.
The product can execute the method provided by the embodiment of the application, has corresponding functional modules and beneficial effects of the execution method, and can refer to the method provided by the embodiment of the application without detailed technical details in the embodiment.
A sixth embodiment of the invention is directed to a non-volatile storage medium storing a computer-readable program for causing a computer to perform some or all of the above-described method embodiments.
That is, as can be understood by those skilled in the art, all or part of the steps in the method for implementing the embodiments described above may be implemented by a program instructing related hardware, where the program is stored in a storage medium and includes several instructions to enable a device (which may be a single chip, a chip, or the like) or a processor (processor) to execute all or part of the steps of the method described in the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
It will be understood by those of ordinary skill in the art that the foregoing embodiments are specific embodiments for practicing the invention, and that various changes in form and details may be made therein without departing from the spirit and scope of the invention in practice.
Claims (8)
1. A method of position correction, the method comprising:
receiving data from a target distribution resource terminal, wherein the data is reported by the target distribution terminal at set time intervals, the data comprises a plurality of position sampling points and position information of each position sampling point, and the position information is positioning information of the position sampling points;
analyzing the data through at least one processor to obtain a plurality of position sampling points of the target distribution resources within set time;
automatically determining, by at least one processor, a velocity and a location position of the plurality of location sampling points;
responding to the fact that any position sampling point in the plurality of position sampling points meets a set condition, and determining the any position sampling point as a drift point;
automatically estimating, by at least one processor, a corrected location of the drift point;
replacing, by at least one processor, the corrected location with the position location;
wherein, responding to that any one of the plurality of position sampling points accords with a set condition specifically comprises:
responding to any position sampling point out of the plurality of position sampling points, wherein the position sampling point is out of a clustering range, and the clustering range is a cluster of a plurality of position sampling points of the target distribution resource in the set time, and the speed of the plurality of position sampling points is less than or equal to a set threshold value.
2. The method of claim 1, wherein the velocity of any one of the position sampling points is a ratio of a first distance to a sampling time interval, wherein the first distance is a distance between a sampling point previous to the any one of the position sampling points and the any one of the position sampling points.
3. The method of claim 1, wherein automatically estimating, by at least one processor, the corrected location of the drift point comprises:
the at least one processor determines a second distance between the correction position and a sampling point at a position before the drift point according to the average speed of the target distribution resources;
and the at least one processor determines the correction position of the drift point according to the second distance and the delivery direction of the target delivery resource.
4. An acquisition apparatus of a position correction, characterized by comprising:
the receiving unit is used for receiving data from a target distribution resource terminal, wherein the data is reported by the target distribution terminal at set time intervals, the data comprises a plurality of position sampling points and position information of each position sampling point, and the position information is positioning information of the position sampling points;
the acquisition unit is used for analyzing the data through at least one processor and acquiring a plurality of position sampling points of the target distribution resources within set time;
a determining unit for automatically determining, by at least one processor, a velocity and a location position of the plurality of location sampling points;
the determining unit is further used for responding to the fact that any one of the plurality of position sampling points meets a set condition, and determining the any one of the position sampling points as a drift point;
a processing unit for automatically estimating, by at least one processor, a corrected location of the drift point;
a correction unit to replace, by at least one processor, the location position with the corrected position;
wherein the determining unit is specifically configured to:
responding to any position sampling point out of the plurality of position sampling points, wherein the position sampling point is out of a clustering range, and the clustering range is a cluster of a plurality of position sampling points of the target distribution resource in the set time, and the speed of the plurality of position sampling points is less than or equal to a set threshold value.
5. A computer-readable storage medium on which computer program instructions are stored, which computer program instructions, when executed by a processor, implement the method of any one of claims 1-3.
6. An electronic device comprising a memory and a processor, wherein the memory is configured to store one or more computer program instructions, wherein the one or more computer program instructions are executed by the processor to perform the steps of:
receiving data from a target distribution resource terminal, wherein the data is reported by the target distribution terminal at set time intervals, the data comprises a plurality of position sampling points and position information of each position sampling point, and the position information is positioning information of the position sampling points;
analyzing the data through at least one processor to obtain a plurality of position sampling points of the target distribution resources within set time;
automatically determining, by at least one processor, a velocity and a location position of the plurality of location sampling points;
responding to the fact that any position sampling point in the plurality of position sampling points meets a set condition, and determining the any position sampling point as a drift point;
automatically estimating, by at least one processor, a corrected location of the drift point;
replacing, by at least one processor, the corrected location with the position location;
wherein, responding to that any one of the plurality of position sampling points accords with a set condition specifically comprises:
responding to any position sampling point out of the plurality of position sampling points, wherein the position sampling point is out of a clustering range, and the clustering range is a cluster of a plurality of position sampling points of the target distribution resource in the set time, and the speed of the plurality of position sampling points is less than or equal to a set threshold value.
7. The electronic device of claim 6, wherein the velocity of any position sampling point is a ratio of a first distance to a sampling time interval, wherein the first distance is a distance between a position sampling point previous to the any position sampling point and the any position sampling point.
8. The electronic device of claim 6, wherein the processor is further configured to perform the steps of:
the at least one processor determines a second distance between the correction position and a sampling point at a position before the drift point according to the average speed of the target distribution resources;
and the at least one processor determines the correction position of the drift point according to the second distance and the delivery direction of the target delivery resource.
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| CN108072886B (en) * | 2016-11-14 | 2021-08-24 | 杭州海康威视数字技术股份有限公司 | Positioning method and device and electronic equipment |
| CN107146448A (en) * | 2017-05-08 | 2017-09-08 | 武汉依迅北斗空间技术有限公司 | A kind of vehicle location information modification method and system |
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