CN110799803A - Traffic data processing method of vehicle and related equipment - Google Patents
Traffic data processing method of vehicle and related equipment Download PDFInfo
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- CN110799803A CN110799803A CN201780092634.6A CN201780092634A CN110799803A CN 110799803 A CN110799803 A CN 110799803A CN 201780092634 A CN201780092634 A CN 201780092634A CN 110799803 A CN110799803 A CN 110799803A
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
- G01C21/00—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00
- G01C21/26—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00 specially adapted for navigation in a road network
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
- G01C21/00—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00
- G01C21/26—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00 specially adapted for navigation in a road network
- G01C21/34—Route searching; Route guidance
- G01C21/36—Input/output arrangements for on-board computers
Abstract
The invention discloses a traffic data processing method of a vehicle and related equipment, which are used for solving the problem that a vehicle-mounted vision system is incomplete in data acquisition under complex conditions. The method comprises the following steps: before a vehicle arrives at a target location, acquiring first traffic data of the target location stored in a server; collecting second traffic data of the target location; performing feature matching on the first traffic data and the second traffic data to obtain first feature matching data; fusing the first traffic data and the second traffic data according to the first feature matching data to obtain third traffic data of the target location; using the third traffic data as traffic data for use by the vehicle at the destination location.
Description
The present invention relates to the field of communications, and in particular, to a traffic data processing method for a vehicle and a related device.
In the prior art, a vehicle usually acquires real-time traffic data to assist driving of the vehicle, the traffic data usually includes data such as road scene information, and the data is mainly acquired by using a visual system or other sensors at a vehicle-mounted end, but the visual system at the vehicle-mounted end is usually easily interfered by complex road conditions, so that sometimes the road scene information cannot be accurately acquired due to conditions such as shielding, illumination, fog and the like (or due to too large calculated amount or inaccurate identification algorithm), for example: lane lines, traffic signs, landmark buildings.
The following lists several vehicle vision system configurations and functions:
1. the multi-view camera: the multi-view camera is used for detecting depth (establishing an environment 3D model), extracting important features (identifying a vehicle-mounted surrounding environment) and tracking targets (tracking vehicles and pedestrians) in an image;
2. multi-view camera + depth sensor: the multi-view camera is used for splicing an environment scene, the depth sensor is used for acquiring low-resolution accurate depth data, and the multi-view camera and the depth sensor are fused to generate high-accuracy depth data, recognize a vehicle-mounted surrounding environment and track vehicles and pedestrians;
3. a depth sensor: the method is used for vehicle tracking and collision avoidance prediction.
The lane lines, traffic signs and the like are identified by an image analysis technology. The current mainstream image analysis algorithm: and establishing a feature detection library. And detecting in the given image area by using the trained image features. When the area of the target is detected, matching identification is performed in the area. Either of these two steps is affected by conditions such as light, and the algorithm becomes ineffective. There are also practices to train target features under complex conditions, such as: an algorithm for angle correction.
The problems that the traffic identification is influenced by complex conditions, the recognition rate is influenced by the complex conditions, the scene reconstruction is shielded, the calculation efficiency is high and the like cause that the data acquisition of the vision system under the complex conditions is incomplete, so that the traffic data acquired by the vehicle is inaccurate.
Disclosure of Invention
The embodiment of the invention provides a traffic data processing method of a vehicle and related equipment, which are used for solving the problem that traffic data acquired by an on-vehicle vision system under a complex condition are incomplete.
A first aspect of an embodiment of the present invention provides a traffic data processing method for a vehicle, including:
before a vehicle arrives at a target location, acquiring first traffic data of the target location stored in a server;
collecting second traffic data of the target location;
performing feature matching on the first traffic data and the second traffic data to obtain first feature matching data;
fusing the first traffic data and the second traffic data according to the first feature matching data to obtain third traffic data of the target location;
using the third traffic data as traffic data for use by the vehicle at the destination location.
Optionally, the vehicle-mounted client sends the second traffic data to the server, so that the server performs feature data matching on the second traffic data and the first traffic data to obtain second feature matching data, and the server fuses the second traffic data and the first traffic data according to the second feature matching data, and updates the first traffic data of the target location by using fourth traffic data obtained after fusion.
Optionally, the traffic data includes a plurality of sub-data, and the first feature matching data includes a feature matching degree of each sub-data in the first traffic data and the second traffic data;
the fusing the first traffic data and the second traffic data according to the first feature matching data to obtain third traffic data of the target location includes:
and fusing the second traffic data with the subdata with the characteristic matching degree lower than a first preset value in the first traffic data to obtain the third traffic data.
Optionally, the fusing the second traffic data with the sub-data with the characteristic matching degree lower than a first preset value in the first traffic data to obtain the third traffic data includes:
and adding the subdata with the characteristic matching degree lower than the first preset value in the first traffic data into the second traffic data on the basis of the subdata in the second traffic data to obtain the third traffic data.
Optionally, the fusing the first traffic data and the second traffic data according to the first feature matching data to obtain third traffic data of the target location further includes:
and deleting the subdata with the characteristic matching degree not lower than the first preset value in the first traffic data.
Optionally, the vehicle-mounted client sends the third traffic data to the server, so that the server updates the first traffic data of the target location by using the third traffic data.
A second aspect of an embodiment of the present invention provides a traffic data processing method for a vehicle, including:
receiving a request sent by a vehicle for acquiring traffic data of a target place;
the method comprises the steps of sending first traffic data of a target place to a vehicle-mounted client of a vehicle, enabling the vehicle-mounted client to carry out feature matching on the first traffic data and second traffic data after collecting second traffic data of the target place to obtain first feature matching data, carrying out data fusion on the first traffic data and the second traffic data according to the first feature matching data to obtain third traffic data of the target place, and enabling the third traffic data to serve as traffic data used by the vehicle at the target place.
Optionally, receiving the second traffic data sent by the vehicle-mounted client;
performing characteristic data matching on the second traffic data and the first traffic data to obtain second characteristic matching data;
and fusing the second traffic data and the first traffic data according to the second feature matching data, and updating the first traffic data of the target location by using fourth traffic data obtained after fusion.
A third aspect of an embodiment of the present invention provides a traffic data processing method for a vehicle, including:
before a vehicle reaches a target place, sending a request for acquiring first traffic data of the target place to a server, wherein the server stores traffic data of a plurality of places including the target place;
receiving first traffic data of the target location sent by the server;
using the first traffic data as traffic data of the vehicle for use at the target location.
Optionally, when the distance between the vehicle and the target location is less than or equal to a preset distance, or the driving time of the vehicle to the target location is less than or equal to a preset value, acquiring second traffic data of the target location;
and sending the second traffic data to the server, so that the server performs characteristic data matching on the second traffic data and the first traffic data to obtain second characteristic matching data, fusing the second traffic data and the first traffic data according to the second characteristic matching data, and updating the first traffic data of the target location by using third traffic data obtained after fusion.
A fourth aspect of the embodiments of the present invention provides a traffic data processing method for a vehicle, including:
receiving a request sent by a vehicle for acquiring traffic data of a target place, wherein the server stores traffic data of a plurality of places including the target place;
sending first traffic data to an on-board client of the vehicle so that the vehicle takes the first traffic data as traffic data of the vehicle used at the target location, wherein the first traffic data is the traffic data of the target location stored in the server.
Optionally, receiving second traffic data collected by the vehicle at the target location;
performing feature matching on the second traffic data and the first traffic data to obtain second feature matching data;
and fusing the second traffic data and the first traffic data according to the second feature matching data, and updating the first traffic data of the target location by using third traffic data obtained after fusion.
A fifth aspect of an embodiment of the present invention provides a vehicle-mounted client, including:
a central processing unit, a storage medium and an input/output interface;
the storage medium has program codes stored thereon, and the central processing unit is configured to call the program codes to implement the traffic data processing method provided in the first aspect and the third aspect.
A sixth aspect of an embodiment of the present invention provides a server, including:
a central processing unit, a storage medium and an input/output interface;
the storage medium has program codes stored thereon, and the central processing unit is configured to call the program codes to implement the traffic data processing method provided by the second aspect and the fourth aspect.
In the technical scheme provided by the embodiment of the invention, it can be seen that the vehicle-mounted client of the vehicle can acquire the first traffic data of the target location from the server, acquire the second traffic data of the target location when the vehicle travels to the target location, perform feature matching on the first traffic data and the second traffic data to obtain first traffic feature matching data, fuse the first traffic data and the second traffic data according to the first traffic feature matching data to obtain third traffic data, and use the third traffic data as the traffic data for the vehicle to travel at the target location. Therefore, the traffic data used by the vehicle-mounted client in the complex place is the third traffic data obtained by fusing the first traffic data and the second traffic data according to the first feature matching data, and compared with the prior art, the accuracy of the acquired traffic data can be improved.
FIG. 1 is a schematic diagram of an embodiment of a traffic data processing method for a vehicle according to an embodiment of the present invention;
FIG. 2 is a schematic diagram of another embodiment of a traffic data processing method for a vehicle according to an embodiment of the present invention;
FIG. 3 is a schematic diagram of another embodiment of a traffic data processing method for a vehicle according to an embodiment of the present invention;
FIG. 4 is a schematic diagram of another embodiment of a traffic data processing method for a vehicle according to an embodiment of the present invention;
FIG. 5 is a schematic diagram of another embodiment of a traffic data processing method for a vehicle according to an embodiment of the present invention;
FIG. 6 is a schematic diagram of another embodiment of a traffic data processing method for a vehicle according to an embodiment of the present invention;
FIG. 7 is a schematic structural diagram of an in-vehicle client according to an embodiment of the present invention;
fig. 8 is a schematic structural diagram of a server in an embodiment of the present invention.
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments.
The terms "first," "second," "third," and "fourth," if any, in the description and claims of the invention and the above-described figures are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It will be appreciated that the data so used may be interchanged under appropriate circumstances such that the embodiments described herein may be practiced otherwise than as specifically illustrated or 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.
Referring to fig. 1, an embodiment of a traffic data processing method for a vehicle according to an embodiment of the present invention includes:
101. before the vehicle arrives at the target location, the vehicle-mounted client acquires first traffic data of the target location stored in the server.
In this embodiment, it may be preferable that when the distance from the target location to the vehicle during the traveling process is less than or equal to a preset distance (for example, 500 meters from the target location), or the traveling time from the vehicle to the target location is less than or equal to a preset value (for example, 60 seconds), the vehicle-mounted client may obtain the first traffic data of the target location from the server, where the first traffic data may include attribute information of the target location and feature information of the target location, the server may store therein traffic data of multiple locations including the target location, and the attribute information of the target location may include at least one of the following information: the weather condition of the target location, the classification information of the target, the classification information of the next target in the current driving direction of the vehicle or the basic attribute of the next target, the traffic identification information, the brake data, the collision data, and the like, and the characteristic information of the target location may include at least one of the following information: image characteristics of the target location, and recognizable image characteristics around the acquired target location.
102. And when the vehicle passes through the target place, the vehicle-mounted client acquires second traffic data of the target place.
In this embodiment, when the vehicle arrives at the target location, the vehicle-mounted client of the vehicle may collect second traffic data of the target location through a vehicle-mounted vision system of the vehicle, for example, the second traffic data may include attribute information of the target location and feature information of the target location, the server may store traffic data of a plurality of locations including the target location, and the attribute information of the target location may include at least one of the following information: the weather condition of the target location, the classification information of the target, the classification information of the next target in the current driving direction of the vehicle or the basic attribute of the next target, the traffic identification information, the brake data, the collision data, and the like, and the characteristic information of the target location may include at least one of the following information: image characteristics of the target location, and recognizable image characteristics around the acquired target location.
103. And the vehicle-mounted client performs characteristic matching on the first traffic data and the second traffic data to obtain first characteristic matching data.
In this embodiment, after the vehicle-mounted client acquires the first traffic data and the second traffic data, the vehicle-mounted client may perform feature data matching on the first traffic data and the second traffic data to obtain first feature matching data, that is, extract feature data in the first traffic data and feature data in the second traffic data to perform feature data matching to obtain the first feature matching data.
It should be noted that, the vehicle-mounted client performs feature matching on the first traffic data and the second traffic data to obtain first feature matching data, where the first feature matching data may be image feature matching, or may be other feature matching, such as geographic identification or a landmark building, and is not limited specifically.
104. And the vehicle-mounted client fuses the first traffic data and the second traffic data according to the first characteristic matching data to obtain third traffic data.
In this embodiment, the vehicle-mounted client fuses the first traffic data and the second traffic data according to the first feature matching data to obtain third traffic data, that is, new data obtained by extracting corresponding data from the first traffic data according to the first feature matching data and adding the corresponding data to the second traffic data is the third traffic data. For a detailed description, please refer to the description of fig. 5 below.
105. And the vehicle-mounted client takes the third traffic data as traffic data used by the vehicle.
In this embodiment, after the vehicle-mounted client acquires the third traffic data, the third traffic data may be used as traffic data used by the vehicle at the target location. For example, the traffic data is analyzed to determine whether to perform a corresponding alert or a corresponding automated operation.
In summary, before the vehicle reaches the target location, the vehicle-mounted client of the vehicle may acquire the first traffic data of the target location from the server, acquire the second traffic data of the target location when the vehicle travels to the target location, perform feature matching on the first traffic data and the second traffic data to obtain first feature matching data, fuse the first traffic data and the second traffic data according to the first feature matching data to obtain third traffic data, and use the third traffic data as traffic data for the vehicle to travel at the target location. Therefore, the traffic data used by the vehicle-mounted client in the complex place is obtained by fusing the first traffic data and the second traffic data according to the first feature matching data, and compared with the prior art, the accuracy of the traffic data used by the vehicle can be improved.
Referring to fig. 2, another embodiment of the traffic data processing method for a vehicle according to the embodiment of the present invention includes:
201. the server receives a request sent by a vehicle for acquiring traffic data of a target place.
In this embodiment, the server may receive a request sent by a vehicle to acquire traffic data of a target location, for example, the traffic data of the target location may include attribute information of the target location and feature information of the target location, the server may store traffic data of multiple locations including the target location, and the attribute information of the target location may include at least one of the following information: the weather condition of the target location, the classification information of the target, the classification information of the next target in the current driving direction of the vehicle or the basic attribute of the next target, the traffic identification information, the brake data, the collision data, and the like, and the characteristic information of the target location may include at least one of the following information: image characteristics of the target location, and recognizable image characteristics around the acquired target location.
202. The server sends first traffic data of a target place to a vehicle-mounted client of the vehicle, so that the vehicle-mounted client performs characteristic data matching on the first traffic data and the second traffic data after acquiring second traffic data of the target place to obtain first characteristic matching data, performs data fusion on the first traffic data and the second traffic data according to the first characteristic matching data to obtain third traffic data of the target place, the third traffic data serves as traffic data used by the vehicle at the target place, and the first traffic data is the traffic data of the target place stored in the server.
In this embodiment, the server stores at least first traffic data of the target location.
Referring to fig. 3, another embodiment of the traffic data processing method for a vehicle according to the embodiment of the present invention includes:
301. before the vehicle arrives at the target location, the vehicle-mounted client sends a request for acquiring first traffic data of the target location to the server.
In this embodiment, it may be preferable that when the distance from the target point to the vehicle during the traveling process is less than or equal to a preset distance (for example, 500 meters from the target point), or when the traveling time from the vehicle to the target point is less than or equal to a preset value (for example, 60 seconds), the in-vehicle client sends a request for acquiring the first traffic data of the target point to a server in which traffic data of a plurality of points including the target point is stored.
302. The vehicle-mounted client receives the first traffic data sent by the server.
In this embodiment, the vehicle-mounted client of the vehicle may receive the first traffic data of the target location sent by the server according to the first traffic data request.
303. The vehicle-mounted client takes the first traffic data as traffic data used by the vehicle at the target place.
In this embodiment, after the vehicle-mounted client of the vehicle acquires the first traffic data of the target location, the vehicle-mounted client may use the first traffic data as the traffic data used by the vehicle at the target location, that is, the vehicle travels through the first traffic data.
In summary, it can be seen that, when the distance from the target point to the vehicle is less than or equal to a preset distance (for example, 500 meters from the target point) or the travel time from the vehicle to the target point is less than or equal to a preset value (for example, 60 seconds), the traffic data of the target point is acquired from the server in advance, and the vehicle is instructed to travel by the acquired traffic data of the target point.
Referring to fig. 4, fig. 4 is a diagram illustrating another embodiment of a traffic data processing method for a vehicle according to the present invention, including:
401. the server receives a request sent by a vehicle for acquiring traffic data of a target place.
In this embodiment, a server may receive a request sent by a vehicle to acquire traffic data of a target location, where the server stores traffic data of multiple locations including the target location, for example, the traffic data of the target location may include attribute information of the target location and feature information of the target location, and the server may store traffic data of multiple locations including the target location, where the attribute information of the target location may include at least one of the following information: the weather condition of the target location, the classification information of the target, the classification information of the next target in the current driving direction of the vehicle or the basic attribute of the next target, the traffic identification information, the brake data, the collision data, and the like, and the characteristic information of the target location may include at least one of the following information: image characteristics of the target location, and recognizable image characteristics around the acquired target location.
402. The server sends first traffic data to an on-board client of a vehicle to cause the vehicle to treat the first traffic data as traffic data of the vehicle for use at the target location.
In this embodiment, after receiving a request sent by a vehicle to acquire traffic data of a target location, a server may extract first traffic data from a database, where the first traffic data is stored in the database of the server, and send the first traffic data to an on-board client of the vehicle, so that the vehicle uses the first traffic data as traffic data used by the vehicle at the target location.
In summary, it can be seen that, in this embodiment, the server sends the first traffic data of the target location stored in the database to the vehicle-mounted client of the vehicle, so that the vehicle-mounted client uses the first traffic data as the traffic data used by the vehicle at the target location.
Referring to fig. 5, another embodiment of the method for processing traffic data of a vehicle according to the embodiment of the present invention includes:
501. before the vehicle arrives at the target location, the vehicle-mounted client sends a request for acquiring traffic data of the target location to the server.
Step 501 is similar to step 301, and has already been described above, and is not described here again.
502. The server receives a request sent by a vehicle for acquiring traffic data of a target place.
In this embodiment, the server may receive a request sent by a vehicle to acquire traffic data of a target location, where the server stores traffic data of multiple locations including the target location.
503. The server sends first traffic data of a target place to an on-board client of the vehicle.
In this embodiment, the server extracts traffic data of the target location, that is, first traffic data, from the database according to a received request for acquiring traffic data of the target location sent by the vehicle, and sends the first traffic data to the vehicle-mounted client of the vehicle.
504. And the vehicle-mounted client acquires second traffic data of the target site.
In this embodiment, when the vehicle arrives at the target location, the vehicle-mounted client of the vehicle may collect second traffic data of the target location through a vehicle-mounted vision system of the vehicle, for example, the second traffic data may include attribute information of the target location and feature information of the target location, the server may store traffic data of a plurality of locations including the target location, and the attribute information of the target location may include at least one of the following information: the weather condition of the target location, the classification information of the target, the classification information of the next target in the current driving direction of the vehicle or the basic attribute of the next target, the traffic identification information, the brake data, the collision data, and the like, and the characteristic information of the target location may include at least one of the following information: image characteristics of the target location, and recognizable image characteristics around the acquired target location.
505. And the vehicle-mounted client sends the second traffic data to the server.
In this embodiment, when the vehicle travels to the target location, the vehicle-mounted client of the vehicle acquires the second traffic data of the target location, and at this time, the vehicle-mounted client of the vehicle may send the second traffic data to the server, and the server may receive the second traffic data.
506. And the server performs characteristic data matching on the second traffic data and the first traffic data to obtain second characteristic matching data.
In this embodiment, after receiving the second traffic data, the server may perform feature matching on the second traffic data and the first traffic data to obtain second feature matching data, that is, extract feature data in the second traffic data and feature data in the first traffic data to perform feature matching to obtain second feature matching data, where the first traffic data includes a plurality of sub-data, the second traffic data also includes a plurality of sub-data, and the second feature matching data is a feature matching degree of each sub-data obtained by matching each sub-data in the second traffic data with each sub-data in the first traffic data.
507. And the server fuses the second traffic data and the first traffic data according to the second characteristic matching data, and updates the first traffic data of the target location by using the fourth traffic data obtained after fusion.
In this embodiment, after obtaining the second feature matching data, the server may fuse the second traffic data and the first traffic data according to the second feature matching data to obtain fourth traffic data, that is, fuse sub-data in the first traffic data and the second traffic data, of which the feature matching degree is lower than a second preset value, to obtain the fourth traffic data, and preferably, based on the sub-data in the first traffic data, add the sub-data in the second traffic data, of which the feature matching degree is lower than the second preset value, to the first traffic data to obtain the fourth traffic data, and update the first traffic data of the target location by using the fused fourth traffic data, that is, replace the first traffic data with the fourth traffic data as the traffic data of the target location.
508. And the vehicle-mounted client performs characteristic matching on the first traffic data and the second traffic data to obtain first characteristic matching data.
In this embodiment, after obtaining the first traffic data and the second traffic data, the vehicle-mounted client may perform feature matching on the first traffic data and the second traffic data to obtain first feature matching data, that is, extract feature data in the first traffic data and feature data in the second traffic data to perform feature matching to obtain first feature matching data, where the first traffic data includes a plurality of sub-data, the second traffic data also includes a plurality of sub-data, the first feature matching data is a feature matching degree of each sub-data obtained by matching each sub-data in the first traffic data with each sub-data in the second traffic data, for example, the second traffic data includes first sub-data and second sub-data, the first traffic data includes third sub-data and fourth sub-data corresponding to the first sub-data and the second sub-data, respectively, and matching the characteristics of the first subdata and the third subdata to obtain the characteristic matching degree of the third subdata, and matching the characteristics of the second subdata and the fourth subdata to obtain the characteristic matching degree of the fourth subdata.
509. And the vehicle-mounted client fuses the first traffic data and the second traffic data according to the first characteristic matching data to obtain third traffic data.
In this embodiment, after obtaining the first feature matching data, the vehicle-mounted client may fuse the first traffic data and the second traffic data according to the first feature matching data to obtain third traffic data, that is, fuse the second traffic data and the sub-data with the feature matching degree lower than the first preset value in the first traffic data to obtain the third traffic data, and preferably, based on the sub-data in the second traffic data, add the sub-data with the feature matching degree lower than the first preset value in the first traffic data to the second traffic data to obtain the third traffic data, for example, the first traffic data includes two sub-data: the feature matching degree of the third sub-data is lower than a first preset value, and the feature matching degree of the fourth sub-data is not lower than the first preset value, so that the third sub-data can be added to the second traffic data to obtain third traffic data.
It should be noted that when the sub-data in the first traffic data has a feature matching degree not lower than the first preset value, the word data in the first traffic data having a feature matching degree not lower than the first preset value may be deleted.
510. And the vehicle-mounted client takes the third traffic data as traffic data used by the vehicle.
In this embodiment, after the vehicle-mounted client acquires the third traffic data, the third traffic data may be used as traffic data used by the vehicle at the target location, that is, the vehicle is instructed to travel at the target location by the third traffic data. For example, the third traffic data is analyzed to determine whether to perform a corresponding alert or a corresponding automatic operation.
It should be noted that there is no restriction on the execution sequence between steps 505 to 507 and steps 508 to 510, and the steps 505 to 507 may be executed first and then steps 508 to 510, or steps 508 to 510 may be executed first and then steps 505 to 507.
Meanwhile, in another embodiment, after the step 510 is executed, the vehicle-mounted client further sends the third traffic data to a server, so that the server updates the first traffic data of the target location by using the third traffic data. Specifically, the third traffic data may replace the first traffic data as the traffic data of the target point.
In summary, it can be seen that, when the distance from the vehicle to the target location is less than or equal to the preset distance in the driving process, or the driving time from the vehicle to the target location is less than or equal to the preset value, the vehicle-mounted client of the vehicle may acquire the first traffic data of the target location from the cloud database of the server, acquire the second traffic data of the target location when the vehicle drives to the target location, perform feature matching on the first traffic data and the second traffic data to obtain first traffic feature matching data, fuse the first traffic data and the second traffic data according to the first feature matching data to obtain third traffic data, and use the third traffic data as traffic data for the vehicle to drive at the target location. When the vehicle-mounted client acquires second traffic data of a target location, the second traffic data is sent to the server, the server performs feature matching on the second traffic data and first traffic data of the target location stored locally to obtain second feature matching data, the server fuses the second traffic data and the first traffic data according to the second feature matching data to obtain fourth traffic data, and the fourth traffic data is updated to be traffic data of the target location. Therefore, traffic data used by the vehicle-mounted client in running at a complex place is third traffic data obtained by fusing data with second traffic data, wherein the first characteristic matching degree of each data in the first traffic data is lower than the second preset value, and compared with the prior art, the accuracy of the obtained traffic data can be improved.
Referring to fig. 6, another embodiment of the traffic data processing method for a vehicle according to the embodiment of the present invention includes:
601. and the vehicle-mounted client sends a request for acquiring the traffic data of the target place to the server.
602. The server receives a request sent by a vehicle for acquiring traffic data of a target place.
603. The server sends first traffic data of a target place to an on-board client of the vehicle.
It should be noted that steps 601 to 603 are similar to steps 501 to 503 described in fig. 5, and the above description has already been made, and detailed description thereof is omitted here.
604. The vehicle-mounted client takes the first traffic data as traffic data used by the vehicle at the target place.
In this embodiment, after the in-vehicle client receives the first traffic data of the target location sent by the server, the first traffic data may be used as traffic data used by the vehicle at the target location, that is, the first traffic data is used to instruct the vehicle to travel at the target location.
605. The server receives second traffic data collected by the vehicle at the target location.
In this embodiment, when the vehicle reaches the target location, the vehicle-mounted client of the vehicle may acquire the second traffic data of the target location, and send the second traffic data to the server, and the server may receive the second traffic data acquired by the vehicle at the target location.
606. And the server performs characteristic data matching on the second traffic data and the first traffic data to obtain second characteristic matching data.
607. And the server fuses the second traffic data and the first traffic data according to the second characteristic matching data, and updates the first traffic data of the target location by using the third traffic data obtained after fusion.
It should be noted that steps 606 to 607 are similar to steps 506 to 507 shown in fig. 5, which have already been described in detail above and are not repeated herein.
In summary, when the distance from the target point to the vehicle during the driving process is less than or equal to the preset distance, or when the driving time of the vehicle from the target location is less than or equal to the preset value, the vehicle-mounted client of the vehicle can acquire the first traffic data of the target location from the database of the server, and the first traffic data is used as traffic data used when the vehicle travels at the destination point, and when the vehicle travels to the destination point, second traffic data of the target location can be collected at the target location and sent to the server, the server performs characteristic data matching with the first traffic data stored in the database according to the second traffic data, to obtain second feature matching data, and fusing the second traffic data with the first traffic data according to the second feature data, and updating the first traffic data of the target location by using the data of the third traffic data obtained after fusion. Therefore, the vehicle can acquire the traffic data of the target location in advance as the traffic data, can pre-judge some possible traffic conditions of the target location in advance and take precautionary measures in advance, in addition, the vehicle-mounted client side also sends the acquired traffic data of the target location to the server, after the server is matched, the data meeting the matching conditions and the data of the target location stored in the cloud database are fused, the fused data is used as new traffic data of the target location, and the accuracy of the data in the database can be further improved.
Referring to fig. 7, fig. 7 is a schematic structural diagram of a vehicle client according to an embodiment of the present invention, the vehicle client 700 may generate a relatively large difference due to different configurations or performances, and may include one or more Central Processing Units (CPUs) 722 (e.g., one or more processors), one or more storage media 730 for storing applications 742 or data 744 (the storage media may be one or more mass storage devices, or temporary storage devices such as one or more memories, or one or more hard disks, or one or more memories and hard disks used together, which is not limited herein). Storage medium 730 may be, among other things, transient storage or persistent storage. The program stored in the storage medium 730 may include a series of instruction operations to the server. Still further, central processor 722 may be configured to communicate with storage medium 730 to perform a series of instructional operations on storage medium 730 on in-vehicle client 700.
The in-vehicle client 700 may further include one or more input/output interfaces 758 (i/o interfaces may be one or more wired or wireless network interfaces, or other i/o interfaces, without limitation), and/or one or more operating systems 741, such as Windows server, Mac OS XTM, unix, linux, freebs dtm, and so on.
The steps performed by the in-vehicle client in the above embodiment may be based on the in-vehicle client structure shown in fig. 7.
Referring to fig. 8, fig. 8 is a schematic structural diagram of a server according to an embodiment of the present invention, where the server 800 may have a relatively large difference due to different configurations or performances, and may include one or more Central Processing Units (CPUs) 822 (e.g., one or more processors), one or more storage media 830 for storing applications 842 or data 844 (the storage media may be one or more mass storage devices, or temporary storage devices such as one or more memories, or one or more hard disks, or one or more memories and a hard disk used together, which is not limited herein). Storage medium 830 may be, among other things, transient or persistent storage. The program stored in the storage medium 830 may include a series of instruction operations to the server. Still further, a central processor 822 may be provided in communication with the storage medium 830 for executing a series of instruction operations in the storage medium 830 on the server 800.
The server 800 may also include one or more input/output interfaces 858 (which may be one or more wired or wireless network interfaces, or other input/output interfaces, without limitation) and/or one or more operating systems 841, such as Windows Server, Mac OS XTM, UnixTM, LinuxTM, FreeBSDTM, etc.
The steps performed by the server in the above embodiments may be based on the server structure shown in fig. 8.
It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described systems, apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the several embodiments provided in the present application, it should be understood that the disclosed system, apparatus and method may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the units is only one logical division, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. 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.
The above-mentioned embodiments are only used for illustrating the technical solutions of the present invention, and not for limiting the same; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.
Claims (14)
- A traffic data processing method for a vehicle, comprising:before a vehicle arrives at a target location, acquiring first traffic data of the target location stored in a server;collecting second traffic data of the target location;performing feature matching on the first traffic data and the second traffic data to obtain first feature matching data;fusing the first traffic data and the second traffic data according to the first feature matching data to obtain third traffic data of the target location;using the third traffic data as traffic data for use by the vehicle at the destination location.
- The method of claim 1, further comprising:and sending the second traffic data to the server, so that the server performs characteristic data matching on the second traffic data and the first traffic data to obtain second characteristic matching data, fusing the second traffic data and the first traffic data according to the second characteristic matching data, and updating the first traffic data of the target location by using fourth traffic data obtained after fusion.
- The method of claim 1, wherein the traffic data comprises a plurality of sub-data, and the first feature matching data comprises feature matching degrees of the sub-data in the first traffic data and the second traffic data;the fusing the first traffic data and the second traffic data according to the first feature matching data to obtain third traffic data of the target location includes:and fusing the second traffic data with the subdata with the characteristic matching degree lower than a first preset value in the first traffic data to obtain the third traffic data.
- The method of claim 3, wherein the fusing the second traffic data with the sub-data of the first traffic data having a characteristic matching degree lower than a first preset value to obtain the third traffic data comprises:and adding the subdata with the characteristic matching degree lower than the first preset value in the first traffic data into the second traffic data on the basis of the subdata in the second traffic data to obtain the third traffic data.
- The method of claim 3,the step of fusing the first traffic data and the second traffic data according to the first feature matching data to obtain third traffic data of a target location further includes:and deleting the subdata with the characteristic matching degree not lower than the first preset value in the first traffic data.
- The method of claim 1, further comprising:sending the third traffic data to the server to cause the server to update the first traffic data of the target location with the third traffic data.
- A traffic data processing method for a vehicle, comprising:receiving a request sent by a vehicle for acquiring traffic data of a target place;and sending the first traffic data of the target location to a vehicle-mounted client of the vehicle, so that the vehicle-mounted client performs feature matching on the first traffic data and the second traffic data after acquiring the second traffic data of the target location to obtain first feature matching data, performs data fusion on the first traffic data and the second traffic data according to the first feature matching data to obtain third traffic data of the target location, and takes the third traffic data as traffic data used by the vehicle at the target location.
- The method of claim 7, further comprising:receiving the second traffic data sent by the vehicle-mounted client;performing characteristic data matching on the second traffic data and the first traffic data to obtain second characteristic matching data;and fusing the second traffic data and the first traffic data according to the second feature matching data, and updating the first traffic data of the target location by using fourth traffic data obtained after fusion.
- A traffic data processing method for a vehicle, comprising:before a vehicle reaches a target place, sending a request for acquiring first traffic data of the target place to a server, wherein the server stores traffic data of a plurality of places including the target place;receiving first traffic data of the target location sent by the server;using the first traffic data as traffic data of the vehicle for use at the target location.
- The traffic data processing method of a vehicle according to claim 9, characterized in that the method further comprises:when the distance between the vehicle and the target place is smaller than or equal to a preset distance, or the running time of the vehicle from the target place is smaller than or equal to a preset value, collecting second traffic data of the target place;and sending the second traffic data to the server, so that the server performs characteristic data matching on the second traffic data and the first traffic data to obtain second characteristic matching data, fusing the second traffic data and the first traffic data according to the second characteristic matching data, and updating the first traffic data of the target location by using third traffic data obtained after fusion.
- A traffic data processing method for a vehicle, comprising:receiving a request sent by a vehicle for acquiring traffic data of a target place, wherein the server stores traffic data of a plurality of places including the target place;sending first traffic data to an on-board client of the vehicle so that the vehicle takes the first traffic data as traffic data of the vehicle used at the target location, wherein the first traffic data is the traffic data of the target location stored in the server.
- The method of claim 11, further comprising:receiving second traffic data collected by the vehicle at the target location;performing feature matching on the second traffic data and the first traffic data to obtain second feature matching data;and fusing the second traffic data and the first traffic data according to the second feature matching data, and updating the first traffic data of the target location by using third traffic data obtained after fusion.
- An in-vehicle client, comprising:a central processing unit, a storage medium and an input/output interface;the storage medium has stored thereon a program code for calling the program code to execute the traffic data processing method of the vehicle according to any one of claims 1 to 6 and the traffic data processing method of the vehicle according to any one of claims 9 to 10.
- A server, comprising:a central processing unit, a storage medium and an input/output interface;the storage medium has stored thereon a program code for calling the program code to execute a traffic data processing method of a vehicle according to any one of claims 7 to 8 and a traffic data processing method of a vehicle according to any one of claims 11 to 12.
Applications Claiming Priority (1)
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|---|---|---|---|
| PCT/CN2017/097042 WO2019028820A1 (en) | 2017-08-11 | 2017-08-11 | Vehicle traffic data processing method and related device |
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| CN110799803A true CN110799803A (en) | 2020-02-14 |
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| CN104819721A (en) * | 2015-05-07 | 2015-08-05 | 成都曙光光纤网络有限责任公司 | Navigation system |
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- 2017-08-11 WO PCT/CN2017/097042 patent/WO2019028820A1/en active Application Filing
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| CN102436002A (en) * | 2011-08-22 | 2012-05-02 | 福信富通（福建）网络科技有限公司 | Method for updating incremental information of TMC (traffic message channel) mobile navigation terminal |
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