CN117022312B

CN117022312B - Driving error intelligent reminding method and device based on driving track

Info

Publication number: CN117022312B
Application number: CN202311294794.2A
Authority: CN
Inventors: 钟遵沐
Original assignee: Guangzhou Desai Xiwei Intelligent Transportation Technology Co ltd
Current assignee: Guangzhou Desai Xiwei Intelligent Transportation Technology Co ltd
Priority date: 2023-10-09
Filing date: 2023-10-09
Publication date: 2023-12-29
Anticipated expiration: 2043-10-09
Also published as: CN117022312A

Abstract

The invention discloses a driving error intelligent reminding method and device based on a driving track, wherein the method comprises the following steps: collecting the driving track data of a driver; according to the coordinate data of the preset base station and the coordinate data of all the track points, performing coordinate conversion operation on all the track points to obtain converted coordinate data of all the track points; and determining driving comparison information corresponding to each target track point in all track points based on the converted coordinate data of all track points, judging whether driving error information corresponding to a driving student is required to be generated according to the driving comparison information corresponding to all target track points, and if so, generating the driving error information to remind the driving student to carry out driving correction, so that the driving learning auxiliary flexibility of the driving student is improved, the driving learning auxiliary reliability and accuracy of the driving student are improved, the driving learning capability of the driving student is improved, and the examination passing rate of the driving student is improved.

Description

Driving error intelligent reminding method and device based on driving track

Technical Field

The invention relates to the technical field of driving assistance, in particular to an intelligent driving error reminding method and device based on a driving track.

Background

As the driving needs of people increase, the demands of people on driving schools are also increasing. At present, a learner often needs an auxiliary means to perform driving learning in the process of training a driving school, and the existing driving learning auxiliary means is generally performed by a manual fixed-point mode and combining corresponding manual driving instructions on a fixed point of a driving track. However, the situation of driving training scenes is hundred, and the student usually has difficulty in accurately reaching each fixed point of the driving track, and corresponding driving operation is more difficult to adjust in time based on actual conditions, so that the driving learning capacity of the student cannot be improved in a short time, and the passing rate of the student exam is difficult to improve. Therefore, it is important to provide an intelligent driving learning auxiliary method to effectively improve the driving learning ability of the learner.

Disclosure of Invention

The technical problem to be solved by the invention is to provide the intelligent driving error reminding method and the intelligent driving error reminding device based on the driving trajectories, which not only improve the driving learning auxiliary flexibility of the driving students, but also improve the driving learning auxiliary reliability and accuracy of the driving students, so as to be beneficial to improving the driving learning capacity of the driving students, thereby improving the examination passing rate of the driving students.

In order to solve the technical problems, the first aspect of the invention discloses a driving error intelligent reminding method based on a driving track, which comprises the following steps:

collecting the driving track data of a driver requiring driving assistance; the driving track data at least comprises coordinate data of all track points contained in the driving track;

according to the coordinate data of the preset base station and the coordinate data of all the track points, performing coordinate conversion operation on all the track points to obtain converted coordinate data of all the track points;

determining driving comparison information corresponding to each target track point in all the track points based on the converted coordinate data of all the track points, and judging whether driving error information corresponding to the driving learner is required to be generated according to the driving comparison information corresponding to all the target track points;

and when the judgment result is yes, generating driving error information according to the driving comparison information corresponding to all the target track points so as to remind the driver of carrying out driving correction according to the driving error information.

In an optional implementation manner, in a first aspect of the present invention, the performing coordinate conversion operation on all the track points according to the preset coordinate data of the base station and the coordinate data of all the track points to obtain converted coordinate data of all the track points includes:

For each track point, determining a rotating radian parameter corresponding to the track point according to preset coordinate data of a base station and coordinate data of the track point, and performing coordinate conversion operation on the track point according to the rotating radian parameter, the coordinate data of the track point and the coordinate data of the base station to obtain converted coordinate data of the track point; the coordinate data of the track points comprise first coordinate data and second coordinate data of the track points, and the coordinate data of the base station comprises third coordinate data and fourth coordinate data of the base station;

wherein, the radian parameter of rotation that the said track point corresponds is:

；

x ₁ for the first coordinate data, y ₁ For the second coordinate data, x ₂ For the third coordinate data, y ₂ And the fourth coordinate data.

As an optional implementation manner, in the first aspect of the present invention, the transformed coordinate data of the track point includes transformed first coordinate data and transformed second coordinate data of the track point; the transformed coordinate data of the track points are obtained by coordinate transformation according to the following formula:

；

wherein x is ₃ For the converted first coordinate data, y ₃ And the second coordinate data after conversion.

In an optional implementation manner, in the first aspect of the present invention, the driving track data further includes driving data corresponding to each track point, where the driving data includes at least one of driving gear data, driving speed data, steering wheel rotation angle data, steering wheel rotation speed data and vehicle body deflection angle data;

the determining driving comparison information corresponding to each target track point in all the track points based on the converted coordinate data of all the track points includes:

acquiring target data of each target standard track point in a plurality of preset target standard track points; the target data of each target standard track point comprises coordinate data of the target standard track point and corresponding standard driving data, and the standard driving data comprises at least one of standard driving gear data, standard driving speed data, standard steering wheel corner data, standard steering wheel rotating speed data and standard vehicle body deflection angle data;

for each target standard track point, determining a target track point meeting a preset target condition corresponding to the target standard track point from all the track points according to the coordinate data of the target standard track point and the converted coordinate data of all the track points; the target conditions comprise distance conditions and/or driving stage conditions;

And for each target track point, determining the driving comparison information corresponding to the target track point according to the driving data corresponding to the target track point and the standard driving data corresponding to the corresponding target standard track point.

As an alternative implementation manner, in the first aspect of the present invention, all the target standard track points are determined by:

acquiring a standard driving track corresponding to a driving training project to which the driving track belongs; the standard driving trajectories corresponding to the driving training projects comprise a plurality of standard driving sub-trajectories, and each standard driving sub-trajectory is used for indicating the trajectories of the corresponding driving stages in the driving training projects;

for each standard driving sub-track, determining standard driving data corresponding to each standard track point contained in the standard driving sub-track, and determining standard driving conditions corresponding to each standard track point according to driving phases corresponding to the standard driving sub-track and the standard driving data corresponding to each standard track point; the standard driving conditions corresponding to each standard track point comprise at least one of standard driving speed conditions, standard steering wheel rotation conditions and standard vehicle body deflection conditions corresponding to the standard track point;

For each standard driving sub-track, determining driving influence degree corresponding to each standard track point according to standard driving conditions corresponding to each standard track point contained in the standard driving sub-track, and determining all standard track points with the driving influence degree greater than or equal to a preset influence degree threshold value from all standard track points according to driving influence degree corresponding to all standard track points to serve as target standard track points for information comparison.

In an optional implementation manner, in a first aspect of the present invention, the determining, according to the driving data corresponding to the target track point and the standard driving data corresponding to the corresponding target standard track point, driving comparison information corresponding to the target track point includes:

determining a data difference analysis mode corresponding to the target track point; the data difference analysis mode comprises a basic difference analysis mode or an amplitude difference analysis mode;

and determining the data difference condition corresponding to the target track point as the driving comparison information corresponding to the target track point according to the data difference analysis mode corresponding to the target track point, the driving data corresponding to the target track point and the standard driving data corresponding to the corresponding target standard track point.

In a first aspect of the present invention, determining, according to the data difference analysis manner corresponding to the target track point, the driving data corresponding to the target track point, and the standard driving data corresponding to the corresponding target standard track point, the data difference condition corresponding to the target track point as driving comparison information corresponding to the target track point includes:

when the data difference analysis mode comprises the basic difference analysis mode, determining a first vehicle data difference value between the target track point and the corresponding target standard track point according to the vehicle data corresponding to the target track point and the standard vehicle data corresponding to the corresponding target standard track point, and determining a basic data difference condition between the first vehicle data difference value and a preset target data difference value according to the first vehicle data difference value as vehicle comparison information corresponding to the target track point;

when the data difference analysis mode comprises the amplitude difference analysis mode, determining other target track points related to the target track points from all the target track points except the target track points, and determining second driving data difference values between the target track points and the other target track points according to driving data corresponding to the target track points and driving data corresponding to the other target track points;

Determining a third driving data difference value between the target standard track point corresponding to the target track point and the target standard track point corresponding to the other target track points according to the standard driving data corresponding to the target standard track point corresponding to the target track point and the standard driving data corresponding to the target standard track point corresponding to the other target track points, and determining an amplitude difference value between the second driving data difference value and the third driving data difference value according to the second driving data difference value and the third driving data difference value;

and determining the amplitude difference condition between the amplitude difference value and a preset target amplitude difference value according to the amplitude difference value, and taking the amplitude difference condition as driving comparison information corresponding to the target track point.

The second aspect of the invention discloses an intelligent driving error reminding device based on a driving track, which comprises:

the acquisition module is used for acquiring the driving track data of the driver requiring driving assistance; the driving track data at least comprises coordinate data of all track points contained in the driving track;

the coordinate conversion module is used for executing coordinate conversion operation on all the track points according to the preset coordinate data of the base station and the coordinate data of all the track points to obtain converted coordinate data of all the track points;

The determining module is used for determining driving comparison information corresponding to each target track point in all the track points based on the converted coordinate data of all the track points;

the judging module is used for judging whether driving error information corresponding to the driving learner is required to be generated according to the driving comparison information corresponding to all the target track points;

and the generation module is used for generating the driving error information according to the driving comparison information corresponding to all the target track points when the judgment result of the judgment module is yes, so as to remind the driving learner to carry out driving correction according to the driving error information.

In a second aspect of the present invention, the coordinate conversion module performs coordinate conversion operation on all the track points according to preset coordinate data of a base station and coordinate data of all the track points, and the manner of obtaining converted coordinate data of all the track points is specifically as follows:

；

As an optional implementation manner, in the second aspect of the present invention, the transformed coordinate data of the track point includes transformed first coordinate data and transformed second coordinate data of the track point; the transformed coordinate data of the track points are obtained by coordinate transformation according to the following formula:

；

In a second aspect of the present invention, the driving track data further includes driving data corresponding to each of the track points, where the driving data includes at least one of driving gear data, driving speed data, steering wheel rotation angle data, steering wheel rotation speed data, and vehicle body deflection angle data;

the determining module determines driving comparison information corresponding to each target track point in all the track points based on the converted coordinate data of all the track points specifically comprises the following steps:

As an alternative embodiment, in the second aspect of the present invention, all the target standard track points are determined by:

In a second aspect of the present invention, the determining module determines, according to the driving data corresponding to the target track point and the standard driving data corresponding to the corresponding target standard track point, driving comparison information corresponding to the target track point specifically by:

In a second aspect of the present invention, as an optional implementation manner, the determining module determines, according to a data difference analysis manner corresponding to the target track point, driving data corresponding to the target track point, and standard driving data corresponding to a corresponding target standard track point, a data difference condition corresponding to the target track point, where the manner of serving as driving comparison information corresponding to the target track point specifically is:

The third aspect of the invention discloses another intelligent driving error reminding device based on a driving track, which comprises:

a memory storing executable program code;

a processor coupled to the memory;

and the processor invokes the executable program codes stored in the memory to execute the intelligent driving error reminding method based on the driving track disclosed in the first aspect of the invention.

The fourth aspect of the present invention discloses a computer storage medium, where the computer storage medium stores computer instructions, where the computer instructions are used to execute the intelligent driving error reminding method based on the driving track disclosed in the first aspect of the present invention when the computer instructions are called.

Compared with the prior art, the embodiment of the invention has the following beneficial effects:

in the embodiment of the invention, the driving track data of a driver is collected; according to the coordinate data of the preset base station and the coordinate data of all the track points, performing coordinate conversion operation on all the track points to obtain converted coordinate data of all the track points; and determining driving comparison information corresponding to each target track point in all track points based on the converted coordinate data of all track points, judging whether driving error information corresponding to a driving learner is required to be generated according to the driving comparison information corresponding to all target track points, and if so, generating driving error information to remind the driving learner to carry out driving correction. Therefore, the embodiment of the invention can intelligently assist the driving learning based on the driving track of the driving student, and compared with the existing driving learning assisting mode, the driving learning assisting flexibility of the driving student is improved, the driving learning assisting reliability and accuracy of the driving student are improved, and the driving learning ability of the driving student is improved, so that the examination passing rate of the driving student is improved.

Drawings

In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for the description of the embodiments will be briefly described below, and it is apparent that the drawings in the following description are only some embodiments of the present invention, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.

Fig. 1 is a schematic flow chart of a driving error intelligent reminding method based on a driving track, which is disclosed by the embodiment of the invention;

fig. 2 is a schematic flow chart of another intelligent driving error reminding method based on a driving track, which is disclosed by the embodiment of the invention;

fig. 3 is a schematic structural diagram of an intelligent driving error reminding device based on a driving track, which is disclosed by the embodiment of the invention;

fig. 4 is a schematic structural diagram of another intelligent driving error reminding device based on a driving track according to an embodiment of the invention.

Detailed Description

In order that those skilled in the art will better understand the present invention, a technical solution in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in which it is apparent that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.

The terms first, second and the like in the description and in the claims and in the above-described figures are used for distinguishing between different objects and not necessarily for describing a sequential or chronological order. Furthermore, the terms "comprise" and "have," as well as any variations thereof, are intended to cover a non-exclusive inclusion. For example, a process, method, apparatus, article, or article that comprises a list of steps or elements is not limited to only those listed but may optionally include other steps or elements not listed or inherent to such process, method, article, or article.

Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment may be included in at least one embodiment of the invention. The appearances of such phrases in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. Those of skill in the art will explicitly and implicitly appreciate that the embodiments described herein may be combined with other embodiments.

The invention discloses a driving error intelligent reminding method and device based on a driving track, which not only improve the driving learning auxiliary flexibility of a driving student, but also improve the driving learning auxiliary reliability and accuracy of the driving student, so as to be beneficial to improving the driving learning capacity of the driving student, thereby improving the examination passing rate of the driving student.

Example 1

Referring to fig. 1, fig. 1 is a flow chart of an intelligent driving error reminding method based on a driving track according to an embodiment of the invention. The intelligent driving error reminding method based on the driving track described in fig. 1 can be applied to driving learning assistance for various driving training projects, such as reversing, entering, side parking, fixed-point parking and starting on a ramp, right-angle turning, curve driving and the like, and the embodiment of the invention is not limited. Optionally, the method may be implemented by a driving learning assistance system, where the driving learning assistance system may be integrated in a driving learning assistance device, or may be a local server or a cloud server for processing a driving learning assistance flow, and the embodiment of the present invention is not limited. As shown in fig. 1, the intelligent driving error reminding method based on the driving track may include the following operations:

101. and collecting the driving track data of a driver requiring driving assistance.

In the embodiment of the invention, the driving track data can be acquired by a driver in the process of carrying out any driving training project, or can be acquired after the driver completes any driving training project. Further optionally, the vehicle track data may include not only coordinate data of all track points included in the vehicle track, but also vehicle data corresponding to each track point, where the vehicle data may include at least one of vehicle gear data, vehicle speed data, steering wheel rotation angle data, steering wheel rotation speed data, and vehicle body deflection angle data.

102. And performing coordinate conversion operation on all the track points according to the preset coordinate data of the base station and the coordinate data of all the track points to obtain converted coordinate data of all the track points.

In the embodiment of the invention, in general, a driving school can have a plurality of driving learning areas and a base station, and the relative position conditions between each driving learning area and the base station are inconsistent, and for the driving track corresponding to any driving student, the driving track corresponding to the driving learning area can be understood as the driving track corresponding to the driving student; meanwhile, for each driving learning area, different driving training items such as reversing and warehousing, lateral parking, ramp fixed-point parking and starting, right-angle turning, curve driving and the like are corresponding, and different driving training items also correspond to different standard driving tracks, namely, each driving learning area has a corresponding standard driving track. Therefore, if the vehicle track corresponding to the driver needs to be compared with the standard vehicle track, the vehicle track corresponding to the driver needs to be converted into a unified comparison standard, so that the converted vehicle track is compared with the standard vehicle track, and the vehicle track comparison information corresponding to the driver, such as the vehicle track comparison information of all track points in the vehicle track of the driver, is obtained.

103. And determining driving comparison information corresponding to each target track point in all track points based on the converted coordinate data of all track points, and judging whether driving error information corresponding to a driving learner is required to be generated according to the driving comparison information corresponding to all target track points.

In the embodiment of the invention, each target track point has a corresponding target standard track point, and the driving comparison information corresponding to each target track point can be understood as the data difference condition between the driving data corresponding to the target track point and the standard driving data corresponding to the corresponding target standard track point.

Further, according to the driving comparison information corresponding to all the target track points, judging whether the driving error information corresponding to the driving learner needs to be generated or not includes:

judging whether the driving comparison information corresponding to all the target track points meets preset difference comparison conditions or not according to the driving comparison information corresponding to all the target track points; if not, determining that driving error information corresponding to the driving learner is required to be generated; if yes, it is determined that the driving error information does not need to be generated.

For example, if in all the target track points, the speed difference between the driving speed of the target track point a and the driving speed of the corresponding target standard track point B is 4m/s, and the preset target data difference is 3 m/s, it may be determined that the driving contrast information corresponding to the target track point a does not meet the preset difference contrast condition, and at this time, it may be determined that driving error information corresponding to the driver needs to be generated, for example, the driving speed at the target track point a is too fast, and it is required to slow down; in another example, the difference between the x coordinate data of the target track point C and the x coordinate data of the corresponding target standard track point D is greater than 0, and the preset difference between the target data is 0, at this time, it may be determined that the driving comparison information corresponding to the target track point C does not meet the preset difference comparison condition, at this time, it may be determined that driving error information corresponding to the driver needs to be generated, for example, the vehicle body at the target track point C is far left, and the steering wheel needs to make a quarter turn to the right for fine adjustment, and so on.

104. And when the judgment result is yes, generating driving error information according to the driving comparison information corresponding to all the target track points so as to remind a driver of carrying out driving correction according to the driving error information.

In the embodiment of the invention, further, a driving correction mode corresponding to the driving learner can be determined according to the driving error information, and the driving error information and the driving correction mode are sent to the driving learning auxiliary terminal corresponding to the driving learner so as to remind the driving learner to carry out driving correction according to the driving error information and the driving correction mode. For example, if there is a speed difference between the driving speed of the target track point a and the driving speed of the corresponding target standard track point B of 4 m/s and the preset target data difference is 3 m/s, it may be determined that the driving error information of the driver is that the driving speed of the driver at the target track point a is 1 m/s faster, and the driving correction mode corresponding to the driver is that the driving speed of the driver at the target track point a needs to be reduced by 1-2 m/s.

Therefore, the embodiment of the invention can intelligently assist the driving learning based on the driving track of the driving student, so that compared with the existing driving learning assisting mode, the driving learning assisting flexibility of the driving student is improved, the driving learning assisting reliability and accuracy of the driving student are improved, the driving learning ability of the driving student is improved, and the examination passing rate of the driving student is improved; meanwhile, the number of coaches required for driving learning assistance is reduced, so that the cost of the required driving school personnel is reduced.

In an optional embodiment, in the step 102, according to the preset coordinate data of the base station and the coordinate data of all the track points, a coordinate conversion operation is performed on all the track points to obtain converted coordinate data of all the track points, which includes:

for each track point, determining a rotating radian parameter corresponding to the track point according to the preset coordinate data of the base station and the coordinate data of the track point, and performing coordinate conversion operation on the track point according to the rotating radian parameter, the coordinate data of the track point and the coordinate data of the base station to obtain converted coordinate data of the track point.

In this alternative embodiment, specifically, the coordinate data of each track point includes the first coordinate data and the second coordinate data of the track point, such as the x coordinate data and the y coordinate data of the track point, and the coordinate data of the base station includes the third coordinate data and the fourth coordinate data of the base station, such as the x coordinate data and the y coordinate data of the base station.

Wherein, the rotation radian parameter that the track point corresponds is:

；

x ₁ for the first coordinate data, y ₁ For the second coordinate data, x ₂ For the third coordinate data, y ₂ And fourth coordinate data.

Further, the transformed coordinate data of the track point includes transformed first coordinate data and transformed second coordinate data of the track point; the transformed coordinate data of the track points are obtained by coordinate transformation according to the following formula:

；

Wherein x is ₃ To the converted first coordinate data, y ₃ Is the transformed second coordinate data.

Therefore, the optional embodiment can perform coordinate conversion on each track point according to the coordinate data of the base station, the coordinate data of each track point and the corresponding rotating radian parameter, so as to obtain converted coordinate data corresponding to each track point, thus reliably and accurately determining the converted coordinate data corresponding to each track point, further reliably and accurately determining driving comparison information corresponding to the corresponding target track point, and reliably and accurately triggering the generation of driving error information, so as to effectively correct driving of a driver.

Example two

Referring to fig. 2, fig. 2 is a flow chart of an intelligent driving error reminding method based on a driving track according to an embodiment of the invention. The intelligent driving error reminding method based on the driving track described in fig. 2 can be applied to driving learning assistance for various driving training projects, such as reversing, entering, side parking, fixed-point parking and starting on a ramp, right-angle turning, curve driving and the like, and the embodiment of the invention is not limited. Optionally, the method may be implemented by a driving learning assistance system, where the driving learning assistance system may be integrated in a driving learning assistance device, or may be a local server or a cloud server for processing a driving learning assistance flow, and the embodiment of the present invention is not limited. As shown in fig. 2, the intelligent driving error reminding method based on the driving track may include the following operations:

201. And collecting the driving track data of a driver requiring driving assistance.

202. And performing coordinate conversion operation on all the track points according to the preset coordinate data of the base station and the coordinate data of all the track points to obtain converted coordinate data of all the track points.

203. And acquiring target data of each target standard track point in the preset plurality of target standard track points.

In an embodiment of the present invention, specifically, the target data of each target standard track point includes coordinate data of the target standard track point and corresponding standard driving data, where optionally, the standard driving data may include at least one of standard driving gear data, standard driving speed data, standard steering wheel corner data, standard steering wheel rotational speed data, and standard vehicle body deflection angle data.

Further, as an alternative embodiment, all target standard trajectory points are determined by:

acquiring a standard driving track corresponding to a driving training project to which the driving track belongs;

for each standard driving sub-track, determining standard driving data corresponding to each standard track point contained in the standard driving sub-track, and determining the standard driving condition corresponding to each standard track point according to the driving stage corresponding to the standard driving sub-track and the standard driving data corresponding to each standard track point;

For each standard driving sub-track, determining driving influence degree corresponding to each standard track point according to standard driving conditions corresponding to each standard track point contained in the standard driving sub-track, and determining all standard track points with the driving influence degree greater than or equal to a preset influence degree threshold value from all standard track points according to the driving influence degree corresponding to all standard track points to serve as target standard track points for information comparison.

In this alternative embodiment, each target standard track point may be understood as a key track point in a standard track where information comparison is required, for example, when the rear wheel of the vehicle has already entered the garage during the reversing process, and the steering wheel needs to turn left for half a turn, this point is the target standard track point, that is, the key track point, because the steering wheel has a larger rotation operation at this time, and for non-key track points in the standard track except all target standard track points, further analysis may be optionally performed or no analysis may be performed.

Further, the standard driving trajectories corresponding to the driving training program comprise a plurality of standard driving sub-trajectories, wherein each standard driving sub-trajectory is used for indicating the corresponding driving stage trajectories in the driving training program. For example, if the driving training program to which the driving track of the driver belongs is a reverse warehouse entry, the standard driving track corresponding to the driving training program includes tracks corresponding to 5 driving stages of forward, right warehouse entry, left warehouse exit, left warehouse entry and right warehouse exit. Optionally, the standard driving condition corresponding to each standard track point includes at least one of a standard driving speed condition, a standard steering wheel rotation condition and a standard vehicle body deflection condition corresponding to the standard track point.

204. And for each target standard track point, determining the target track point meeting the preset target condition corresponding to the target standard track point from all track points according to the coordinate data of the target standard track point and the converted coordinate data of all track points.

In the embodiment of the present invention, corresponding to the description in the foregoing step 203, based on all target standard track points (i.e., a plurality of critical track points in the standard track that need to be compared with information) determined from a plurality of standard track points in the standard track, the target track point corresponding to each target standard track point (the target track point, i.e., the track point in the plurality of track points of the driver, which is close to the current target standard track point in distance and/or belongs to the same driving stage) may be determined from all track points in the standard track of the driver, that is, all the determined target track points may be understood as critical track points in the plurality of track points of the driver that need to be compared with corresponding target standard track points, and non-critical track points other than all the target track points may be optionally further analyzed or need not be analyzed with corresponding standard track points, so that driving errors caused by the current critical track points may be reduced, so that the subsequent plurality of similar non-critical track points may also output the same error information. And optionally, the target condition includes a distance condition and/or a driving stage condition. For example, for the target standard track point C, according to the coordinate data of the target standard track point C and the converted coordinate data of all track points, the distances between the target standard track point C and the target standard track point C are determined from all track points and do not exceed the preset distance threshold, and all the target track points D correspond to the same driving stage (such as the forward stage of reversing and warehousing).

205. And for each target track point, determining the driving comparison information corresponding to the target track point according to the driving data corresponding to the target track point and the standard driving data corresponding to the corresponding target standard track point.

In an embodiment of the present invention, optionally, the driving comparison information corresponding to each target track point may include a basic data difference condition and/or an amplitude difference condition corresponding to the target track point, where the basic data difference condition may include a driving gear difference condition, a driving speed difference condition, a steering wheel angle difference condition, a steering wheel rotational speed difference condition, and a vehicle body deflection angle difference condition, and the amplitude difference condition may include a driving gear amplitude difference condition, a driving speed amplitude difference condition, a steering wheel rotational angle amplitude difference condition, a steering wheel rotational speed amplitude difference condition, and a vehicle body deflection angle amplitude difference condition, and so on.

206. And judging whether driving error information corresponding to the driving students is required to be generated according to the driving comparison information corresponding to all the target track points.

207. And when the judgment result is yes, generating driving error information according to the driving comparison information corresponding to all the target track points so as to remind a driver of carrying out driving correction according to the driving error information.

In the embodiment of the present invention, for other descriptions of step 201, step 202, step 206 and step 207, please refer to the detailed descriptions of step 101-step 104 in the first embodiment, and the detailed descriptions of the embodiment of the present invention are omitted.

Therefore, by implementing the embodiment of the invention, all target track points in the driving track of the driver can be determined, and the driving comparison information corresponding to each target track point is determined according to the driving data corresponding to each target track point and the standard driving data corresponding to the corresponding target standard track point, so that the corresponding driving error information is generated to carry out driving correction on the driver, thus, the selective error correction is carried out by carrying out sectional analysis on the driving track and interval analysis on the track points, the unnecessary track point analysis can be reduced, the redundant driving error information output can be reduced, and the driving experience and the driving efficiency of the driver can be improved; the reliability and the accuracy of the driving comparison information corresponding to each target track point can be improved, and the reliability and the accuracy of the driving error information obtained subsequently can be improved, so that independent pertinence teaching of a driver is facilitated through intelligent driving learning assistance, and the driving learning capability of the driver is improved.

In an optional embodiment, determining the driving comparison information corresponding to the target track point according to the driving data corresponding to the target track point and the standard driving data corresponding to the corresponding target standard track point in the step 205 includes:

determining a data difference analysis mode corresponding to the target track point;

and determining the data difference condition corresponding to the target track point according to the data difference analysis mode corresponding to the target track point, the driving data corresponding to the target track point and the standard driving data corresponding to the corresponding target standard track point, and taking the data difference condition as driving comparison information corresponding to the target track point.

In this alternative embodiment, it may be understood that the basic data difference condition and/or the amplitude difference condition corresponding to the target track point is determined, and is used as the driving comparison information corresponding to the target track point, such as a driving gear difference condition, a driving speed difference condition, a steering wheel rotation angle difference condition, a steering wheel rotation speed difference condition, a vehicle body deviation angle difference condition, a driving gear amplitude difference condition, a driving speed amplitude difference condition, a steering wheel rotation angle amplitude difference condition, a steering wheel rotation speed amplitude difference condition, and a vehicle body deviation angle amplitude difference condition, and so on. Optionally, the data variance analysis mode includes a base variance analysis mode or an amplitude variance analysis mode.

Therefore, the optional embodiment can determine the corresponding data difference condition based on the data difference analysis mode corresponding to the target track point, so as to obtain the corresponding driving comparison information, so that the driving data difference analysis can be flexibly performed on the target track point, the reliability and the accuracy of the obtained data difference condition of the target track point can be further improved, the effectiveness of the driving comparison information of the target track point can be improved, and driving correction can be conveniently performed on a driver.

In another optional embodiment, determining the data difference condition corresponding to the target track point according to the data difference analysis mode corresponding to the target track point, the driving data corresponding to the target track point and the standard driving data corresponding to the corresponding target standard track point in the above step, as driving comparison information corresponding to the target track point, includes:

when the data difference analysis mode comprises a basic difference analysis mode, determining a first driving data difference value between the target track point and the corresponding target standard track point according to driving data corresponding to the target track point and standard driving data corresponding to the corresponding target standard track point, and determining a basic data difference condition between the first driving data difference value and a preset target data difference value according to the first driving data difference value as driving comparison information corresponding to the target track point;

When the data difference analysis mode comprises an amplitude difference analysis mode, other target track points related to the target track points are determined from all target track points except the target track points, and second driving data difference values between the target track points and other target track points are determined according to driving data corresponding to the target track points and driving data corresponding to other target track points;

In this alternative embodiment, for example, if the basic difference analysis is required to be performed on the steering wheel angle data of the target track point, determining a first steering wheel angle data difference value (a-b) between the target track point and the corresponding target standard track point according to the steering wheel angle data a corresponding to the target track point and the standard steering wheel angle data b corresponding to the corresponding target standard track point, and determining the steering wheel angle data difference condition [ (a-b) -c ] between the first steering wheel angle data difference value and the preset target data difference value c according to the first steering wheel angle data difference value, and taking the first steering wheel angle data difference value as the driving contrast information corresponding to the target track point, so as to determine whether the steering wheel angle of the driver has an offset; and when the amplitude difference analysis is needed to be carried out on the steering wheel angle data of the target track point, determining a second steering wheel angle data difference value (a-d) between the target track point and other target track points according to the steering wheel angle data a corresponding to the target track point and the steering wheel angle data d corresponding to other target track points, and simultaneously determining a third steering wheel angle data difference value (b-e) between the target standard track point corresponding to the target track point and the target standard track point corresponding to other target track points according to the standard steering wheel angle data b corresponding to the target standard track point corresponding to the target track point and the standard steering wheel angle data e corresponding to the target standard track point corresponding to other target track points, and then determining the amplitude difference [ (a-d) - (b-e) ] between the second steering wheel angle data difference value and the third steering wheel angle data difference value, so that the amplitude difference between the amplitude difference value and the preset target amplitude difference value f is [ (a-d) - (b-e) ] -f, and whether the steering wheel is driven by the speed or not can be judged.

Therefore, the optional embodiment can determine the specific driving comparison information of the target track point according to the specific data difference analysis mode, the driving data of the target track point and the standard driving data of the corresponding target standard track point, so that the reliability and the accuracy of the driving comparison information of the obtained target track point are further improved, the reliability and the accuracy of the driving error information generated subsequently are further improved, and the driving correction of a driver is facilitated, so that the teaching quality of the driver is improved.

Example III

Referring to fig. 3, fig. 3 is a schematic structural diagram of an intelligent driving error reminding device based on a driving track according to an embodiment of the invention. As shown in fig. 3, the intelligent driving error reminding device based on the driving track may include:

the acquisition module 301 is configured to acquire driving trajectory data of a driver who needs driving assistance;

the coordinate conversion module 302 is configured to perform coordinate conversion operation on all the track points according to the preset coordinate data of the base station and the coordinate data of all the track points, so as to obtain converted coordinate data of all the track points;

A determining module 303, configured to determine driving comparison information corresponding to each target track point in all track points based on the transformed coordinate data of all track points;

the judging module 304 is configured to judge whether to generate driving error information corresponding to a driving learner according to driving comparison information corresponding to all the target track points;

and the generating module 305 is configured to generate driving error information according to the driving comparison information corresponding to all the target track points when the judging result of the judging module 304 is yes, so as to remind the driver of carrying out driving correction according to the driving error information.

In the embodiment of the invention, the driving track data at least comprises coordinate data of all track points contained in the driving track.

Therefore, the intelligent driving error reminding device based on the driving track described in the embodiment of fig. 3 can intelligently carry out driving learning assistance on the driver based on the driving track of the driver, so that compared with the existing driving learning assistance mode, the driving learning assistance flexibility of the driver is improved, the driving learning assistance reliability and accuracy of the driver are also improved, the driving learning ability of the driver is improved, and the examination passing rate of the driver is improved; meanwhile, the number of coaches required for driving learning assistance is reduced, so that the cost of the required driving school personnel is reduced.

In an alternative embodiment, the coordinate conversion module 302 performs coordinate conversion operation on all the track points according to the preset coordinate data of the base station and the coordinate data of all the track points, so as to obtain converted coordinate data of all the track points specifically as follows:

In this alternative embodiment, the coordinate data of the track point includes first coordinate data and second coordinate data of the track point, and the coordinate data of the base station includes third coordinate data and fourth coordinate data of the base station;

wherein, the rotation radian parameter that the track point corresponds is:

；

Wherein x is ₃ For the converted first coordinate data， y ₃ Is the transformed second coordinate data.

Therefore, the intelligent driving error reminding device based on the driving track described in fig. 3 can perform coordinate conversion on each track point according to the coordinate data of the base station, the coordinate data of each track point and the corresponding rotating radian parameter, so as to obtain converted coordinate data corresponding to each track point, thus the converted coordinate data corresponding to each track point can be reliably and accurately determined, and driving comparison information corresponding to the corresponding target track point can be reliably and accurately determined subsequently, so that generation of driving error information can be reliably and accurately triggered, and driving correction can be effectively performed on a driver.

In another optional embodiment, the driving track data further includes driving data corresponding to each track point, where the driving data includes at least one of driving gear data, driving speed data, steering wheel rotation angle data, steering wheel rotation speed data, and vehicle body deflection angle data;

the determining module 303 determines, based on the transformed coordinate data of all the track points, driving comparison information corresponding to each target track point in all the track points specifically as follows:

Acquiring target data of each target standard track point in a plurality of preset target standard track points;

for each target standard track point, determining a target track point meeting a preset target condition corresponding to the target standard track point from all track points according to the coordinate data of the target standard track point and the converted coordinate data of all track points;

In this optional embodiment, the target data of each target standard track point includes coordinate data of the target standard track point and corresponding standard driving data, where the standard driving data includes at least one of standard driving gear data, standard driving speed data, standard steering wheel rotation angle data, standard steering wheel rotation speed data, and standard vehicle body deflection angle data; the target conditions include distance conditions and/or driving stage conditions.

Further, all target standard track points are determined by the following ways:

acquiring a standard driving track corresponding to a driving training project to which the driving track belongs; the standard driving trajectories corresponding to the driving training items comprise a plurality of standard driving sub-trajectories, and each standard driving sub-trajectory is used for indicating the trajectories of the corresponding driving stages in the driving training items;

For each standard driving sub-track, determining standard driving data corresponding to each standard track point contained in the standard driving sub-track, and determining the standard driving condition corresponding to each standard track point according to the driving stage corresponding to the standard driving sub-track and the standard driving data corresponding to each standard track point; the standard driving conditions corresponding to each standard track point comprise at least one of standard driving speed conditions, standard steering wheel rotation conditions and standard vehicle body deflection conditions corresponding to the standard track point;

Therefore, by implementing the intelligent driving error reminding device based on the driving track described in fig. 3, all target track points in the driving track of the driver can be determined, and driving comparison information corresponding to each target track point is determined according to the driving data corresponding to each target track point and the standard driving data corresponding to the corresponding target standard track point, so that corresponding driving error information is generated to correct driving of the driver, thus, by carrying out sectional analysis on the driving track and interval analysis on the track points, not only unnecessary track point analysis can be reduced, but also reliability and accuracy of driving comparison information corresponding to each obtained target track point can be improved, further reliability and accuracy of driving error information obtained subsequently can be improved, and independent pertinence teaching of the driver can be realized through intelligent driving learning assistance, so that driving learning capability of the driver can be improved.

In yet another alternative embodiment, the determining module 303 determines the driving comparison information corresponding to the target track point according to the driving data corresponding to the target track point and the standard driving data corresponding to the corresponding target standard track point specifically as follows:

In this alternative embodiment, the data variance analysis means comprises a base variance analysis means or an amplitude variance analysis means.

Therefore, the intelligent driving error reminding device based on the driving track described in fig. 3 can determine the corresponding data difference condition based on the data difference analysis mode corresponding to the target track point, so as to obtain the corresponding driving comparison information, so that the driving data difference analysis can be flexibly performed on the target track point, the reliability and the accuracy of the obtained data difference condition of the target track point can be further improved, the effectiveness of the driving comparison information of the target track point can be improved, and driving correction can be facilitated for a driver.

In yet another alternative embodiment, the determining module 303 determines, according to the data difference analysis manner corresponding to the target track point, the driving data corresponding to the target track point, and the standard driving data corresponding to the corresponding target standard track point, the data difference condition corresponding to the target track point, where the manner of serving as the driving contrast information corresponding to the target track point is specifically:

Therefore, the intelligent driving error reminding device based on the driving track described in fig. 3 can determine specific driving comparison information of the target track point according to a specific data difference analysis mode, driving data of the target track point and standard driving data of the corresponding target standard track point, so that reliability and accuracy of the obtained driving comparison information of the target track point are further improved, reliability and accuracy of driving error information generated subsequently are further improved, and reliable and accurate driving correction of a driving student is facilitated, and teaching quality of the driving student is improved.

Example IV

Referring to fig. 4, fig. 4 is a schematic structural diagram of another intelligent driving error reminding device based on a driving track according to an embodiment of the invention. As shown in fig. 4, the intelligent driving error reminding device based on the driving track may include:

a memory 401 storing executable program codes;

a processor 402 coupled with the memory 401;

the processor 402 invokes executable program codes stored in the memory 401 to execute the steps in the intelligent driving error reminding method based on the driving track described in the first embodiment or the second embodiment of the present invention.

Example five

The embodiment of the invention discloses a computer storage medium which stores computer instructions, wherein the computer instructions are used for executing the steps in the intelligent driving error reminding method based on the driving track described in the first embodiment or the second embodiment of the invention when being called.

Example six

An embodiment of the present invention discloses a computer program product, which includes a non-transitory computer-readable storage medium storing a computer program, and the computer program is operable to cause a computer to execute steps in the intelligent driving error reminding method based on a driving track described in the first embodiment or the second embodiment.

The apparatus embodiments described above are merely illustrative, wherein the modules illustrated as separate components may or may not be physically separate, and the components shown as modules may or may not be physical, i.e., may be located in one place, or may be distributed over a plurality of network modules. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment. Those of ordinary skill in the art will understand and implement the present invention without undue burden.

From the above detailed description of the embodiments, it will be apparent to those skilled in the art that the embodiments may be implemented by means of software plus necessary general hardware platforms, or of course by means of hardware. Based on such understanding, the foregoing technical solutions may be embodied essentially or in part in the form of a software product that may be stored in a computer-readable storage medium including Read-Only Memory (ROM), random-access Memory (Random Access Memory, RAM), programmable Read-Only Memory (Programmable Read-Only Memory, PROM), erasable programmable Read-Only Memory (Erasable Programmable Read Only Memory, EPROM), one-time programmable Read-Only Memory (OTPROM), electrically erasable programmable Read-Only Memory (EEPROM), compact disc Read-Only Memory (Compact Disc Read-Only Memory, CD-ROM) or other optical disc Memory, magnetic disc Memory, tape Memory, or any other medium that can be used for computer-readable carrying or storing data.

Finally, it should be noted that: the embodiment of the invention discloses a driving error intelligent reminding method and device based on a driving track, which are disclosed by the embodiment of the invention and are only used for illustrating the technical scheme of the invention, but not limiting the technical scheme; although the invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art will understand that; the technical scheme recorded in the various embodiments can be modified or part of technical features in the technical scheme can be replaced equivalently; such modifications and substitutions do not depart from the spirit and scope of the corresponding technical solutions.

Claims

1. The intelligent driving error reminding method based on the driving track is characterized by comprising the following steps of:

Acquiring target data of each target standard track point in a plurality of preset target standard track points; the target data of each target standard track point comprises coordinate data of the target standard track point and corresponding standard driving data, and the driving track data also comprises driving data corresponding to each track point;

for each target standard track point, determining a target track point meeting a preset target condition corresponding to the target standard track point from all the track points according to the coordinate data of the target standard track point and the converted coordinate data of all the track points;

for each target track point, determining a data difference analysis mode corresponding to the target track point; the data difference analysis mode comprises a basic difference analysis mode or an amplitude difference analysis mode; determining the data difference condition corresponding to the target track point as the driving comparison information corresponding to the target track point according to the data difference analysis mode corresponding to the target track point, the driving data corresponding to the target track point and the standard driving data corresponding to the corresponding target standard track point;

Judging whether driving error information corresponding to the driving learner is required to be generated according to the driving comparison information corresponding to all the target track points;

when the judgment result is yes, generating driving error information according to driving comparison information corresponding to all the target track points so as to remind the driver of carrying out driving correction according to the driving error information;

and performing coordinate conversion operation on all the track points according to the coordinate data of the preset base station and the coordinate data of all the track points to obtain converted coordinate data of all the track points, wherein the coordinate conversion operation comprises the following steps:

for each track point, determining a rotating radian parameter corresponding to the track point according to preset coordinate data of a base station and coordinate data of the track point, and performing coordinate conversion operation on the track point according to the rotating radian parameter, the coordinate data of the track point and the coordinate data of the base station to obtain converted coordinate data of the track point;

the determining, according to the data difference analysis manner corresponding to the target track point, the driving data corresponding to the target track point, and the standard driving data corresponding to the corresponding target standard track point, the data difference condition corresponding to the target track point as driving comparison information corresponding to the target track point includes:

2. The intelligent driving error reminding method based on the driving track according to claim 1, wherein the coordinate data of the track point comprises first coordinate data and second coordinate data of the track point, and the coordinate data of the base station comprises third coordinate data and fourth coordinate data of the base station;

；

3. The intelligent driving error reminding method based on the driving track according to claim 2, wherein the converted coordinate data of the track point comprises converted first coordinate data and converted second coordinate data of the track point; the transformed coordinate data of the track points are obtained by coordinate transformation according to the following formula:

；

4. The intelligent driving error reminding method based on the driving track according to any one of claims 1-3, wherein the driving data comprises at least one of driving gear data, driving speed data, steering wheel rotation angle data, steering wheel rotation speed data and vehicle body deflection angle data;

the standard driving data comprise at least one of standard driving gear data, standard driving speed data, standard steering wheel corner data, standard steering wheel rotating speed data and standard vehicle body deflection angle data;

the target conditions include distance conditions and/or driving stage conditions.

5. The intelligent driving error reminding method based on the driving trajectories according to claim 4, wherein all the target standard trajectory points are determined by the following modes:

6. Driving error intelligent reminding device based on driving track, characterized in that, the device includes:

the determining module is used for acquiring target data of each target standard track point in a plurality of preset target standard track points; the target data of each target standard track point comprises coordinate data of the target standard track point and corresponding standard driving data, and the driving track data also comprises driving data corresponding to each track point; for each target standard track point, determining a target track point meeting a preset target condition corresponding to the target standard track point from all the track points according to the coordinate data of the target standard track point and the converted coordinate data of all the track points; for each target track point, determining a data difference analysis mode corresponding to the target track point; the data difference analysis mode comprises a basic difference analysis mode or an amplitude difference analysis mode; determining the data difference condition corresponding to the target track point as the driving comparison information corresponding to the target track point according to the data difference analysis mode corresponding to the target track point, the driving data corresponding to the target track point and the standard driving data corresponding to the corresponding target standard track point;

the generation module is used for generating the driving error information according to the driving comparison information corresponding to all the target track points when the judgment result of the judgment module is yes, so as to remind the driving learner to carry out driving correction according to the driving error information;

the coordinate conversion module performs coordinate conversion operation on all the track points according to the preset coordinate data of the base station and the coordinate data of all the track points, and the mode of obtaining the converted coordinate data of all the track points is specifically as follows:

the determining module determines the data difference condition corresponding to the target track point according to the data difference analysis mode corresponding to the target track point, the driving data corresponding to the target track point and the standard driving data corresponding to the corresponding target standard track point, and the driving comparison information corresponding to the target track point specifically comprises the following modes:

7. Driving error intelligent reminding device based on driving track, characterized in that, the device includes:

a memory storing executable program code;

a processor coupled to the memory;

the processor invokes the executable program code stored in the memory to perform the intelligent driving error reminding method based on the driving track as claimed in any one of claims 1 to 5.

8. A computer storage medium storing computer instructions which, when invoked, are adapted to perform the intelligent driving error warning method based on a driving trajectory as claimed in any one of claims 1 to 5.