Vehicle driving data processing device and vehicle driving data processing method

Abstract

A processor of a vehicle traveling data processing device outputs data used in a system or device including a display function by which visual comparison is possible. The output data includes three information sets (SI(i), SI(ii), SI(iii)), each of which including travel trajectory information used when travel trajectories are displayed to be visually comparable. Namely, the three information sets include: the information set (SI(i)) in which first travel trajectory information (IT1) is associated with first physical quantity A information (IP1A); the information set (SI(ii)) in which second travel trajectory information (IT2) is associated with second physical quantity A information (IP2A); and the information group (SI(iii)) in which the first travel trajectory information (IT1) is at least associated with the second travel trajectory information (IT2), and when the travel trajectories and the physical quantities A displayed on the basis of the three information sets (SI(i), SI(ii), SI(iii)) are visually compared, at least a portion of the travel trajectories included in each of the three information sets (SI(i), SI(ii), SI(iii)) is composed of data granularity that would be a visual clue.

Description

[Technical Field]

[0001] The present invention relates to a vehicle driving data processing method or apparatus that acquires and processes vehicle driving data relating to a vehicle in motion and outputs the data.

[0002] Conventionally, vehicle driving data processing methods or devices have been proposed that output data used in, for example, training support systems or devices (see, for example, Patent Document 1), vehicle control systems or devices that control vehicles (see, for example, Patent Document 2), and vehicle driving data recording systems or devices that record vehicle driving data (see, for example, Patent Document 3). For example, data output by the vehicle driving data processing method or device can be acquired by a training support system or device, and a display image can be displayed based on that data. For example, data output by the vehicle driving data processing method or device can be acquired by a vehicle control system or device, and a display image can be displayed on the vehicle's meter based on that data, allowing the user to select a type of control, and the vehicle can be controlled according to the selection result. For example, data output by the vehicle driving data processing method or device can be acquired by a vehicle driving data recording system or device, and a display image can be displayed based on that data. The vehicle driving data processing method or device can be incorporated into, for example, a training support system or device, a vehicle control system or device that controls vehicles, or a vehicle driving data recording system or device that records vehicle driving data. Furthermore, the vehicle driving data processing method or apparatus can be configured separately from and used in combination with, for example, a training support system or apparatus, a vehicle control system or apparatus for controlling a vehicle, or a vehicle driving data recording system or apparatus for recording vehicle driving data. For example, as disclosed in Patent Documents 4 to 6, a vehicle running data processing method or apparatus outputs data in which physical quantity information and running trajectory information included in vehicle running data are associated. Since the data output by the vehicle running data processing method or apparatus is generated based on the data in which physical quantity information and running trajectory information are associated, the characteristics of the vehicle are strongly reflected. Therefore, by using the data strongly reflecting the characteristics of the vehicle output by the vehicle running data processing method or apparatus, it is possible to improve the performance of a vehicle running data recording system or apparatus, etc., while reducing the amount or type of data and increasing the design freedom of hardware resources. In particular, in Patent Documents 4 and 5, a system or apparatus having a function of visually comparing and displaying two pieces of data in which physical quantity information and running trajectory information included in vehicle running data are associated, for example, a function of displaying display images in parallel, has been proposed. Also, in Patent Document 6, a system or apparatus having a function of visually comparing and displaying two pieces of data in which physical quantity information and running trajectory information included in vehicle running data are associated, for example, by displaying them in a graph, has been proposed.

Prior Art Documents

Patent Documents

[0003]

Patent Document 1

Patent Document 2

Patent Document 3

Patent Document 4

Patent Document 5

Patent Document 6

Summary of the Invention

[0004] In particular, in systems or devices that have a function to display data that allows for visual comparison using data that associates physical quantity information and driving trajectory information contained in vehicle driving data, there is a need to further improve the function of displaying data in a way that allows for visual comparison while minimizing the reduction in the design flexibility of hardware resources. Therefore, it is desirable that vehicle driving data processing methods or devices that output data used in systems or devices that have a function to display data in a way that allows for visual comparison output data that can further improve the function of displaying data in a way that allows for visual comparison while minimizing the reduction in the design flexibility of the hardware resources of the system or device that has a function to display data in a way that allows for visual comparison.

[0005] The object of the present invention is to provide a vehicle driving data processing method or apparatus that outputs data used in a system or apparatus equipped with a function to display data in a way that allows for visual comparison, while suppressing a decrease in the design flexibility of the hardware resources of the system or apparatus equipped with a function to display data in a way that allows for visual comparison, and which can output data that further improves the function to display data in a way that allows for visual comparison. [Means for solving the problem]

[0006] (1) A vehicle driving data processing device and a vehicle driving data processing device that perform a vehicle driving data processing method according to one embodiment of the present invention have the following configuration. The vehicle driving data processing device includes a memory and a processor. The processor performs an acquisition process to acquire into memory first physical quantity A information (IP1A) and second physical quantity A information (IP2A) relating to physical quantity A included in vehicle driving data relating to a vehicle in motion, and first driving trajectory information (IT1) and second driving trajectory information (IT2) relating to the driving trajectory included in the vehicle driving data. Based on the first physical quantity A information (IP1A), second physical quantity A information (IP2A), first driving trajectory information (IT1), and second driving trajectory information (IT2) acquired in memory, the processor performs an output process to output data used in a system or device that has a function to display in a way that allows for visual comparison. For example, the data output in the output process includes data that can be visually compared by displaying them side by side. The data output by the output process includes three sets of information (SI(i), SI(ii), SI(iii)) each containing trajectory information used to display the aforementioned trajectories in a way that allows for visual comparison of the trajectories, namely, a set of information (SI(i)) relating the first trajectory information (IT1) and the first physical quantity A information (IP1A), a set of information (SI(ii)) relating the second trajectory information (IT2) and the second physical quantity A information (IP2A), and a set of information (SI(iii)) relating at least the first trajectory information (IT1) and the second trajectory information (IT2). Therefore, using this data, three display images (DI(I), DI(II), DI(III)) each containing a visually displayed driving trajectory can be displayed for visual comparison: a display image containing the first driving trajectory and the first physical quantity A (DI(I)), a display image containing the second driving trajectory and the second physical quantity A (DI(II)), and a display image containing at least the first and second driving trajectories (DI(III)).In addition, the data output during the output process is structured such that, when visually comparing the travel trajectories and physical quantities A displayed based on the three sets of information (SI(i), SI(ii), SI(iii)), at least a portion of the travel trajectories included in each of the three sets of information (SI(i), SI(ii), SI(iii)) is composed of data granularity that serves as a visual cue. Each of the three display images (DI(I), DI(II), DI(III)) contains a visually displayed travel trajectory. By structuring these travel trajectories with data granularity that serves as a visual cue, users can use the shape of the travel trajectory as a visual cue. Therefore, users can more easily visually compare the travel trajectories and physical quantities A displayed based on the three display images (DI(I), DI(II), DI(III)). For example, in areas where the difference in travel trajectories is large and in the surrounding areas, the difference in physical quantity A can be confirmed using the shape of the travel trajectory as a visual cue. Furthermore, for example, in areas where there is a large difference in physical quantity A and its surroundings, the difference in the travel trajectory can be confirmed using the shape of the travel trajectory as a visual clue. The first travel trajectory information (IT1) and the second travel trajectory information (IT2) included in the information set (SI(iii)) which associates the first travel trajectory information (IT1) and the second travel trajectory information (IT2) can utilize the travel trajectory information included in the remaining two information sets (SI(i) and SI(ii)) of the three information sets (SI(i), SI(ii), and SI(iii)). In addition, at least a portion of the travel trajectories included in each of the three information sets (SI(i), SI(ii), and SI(iii)) can be at a data granularity that serves as a visual clue, so there is no need to specially process the travel trajectory information. Therefore, the load on hardware resources can be suppressed. As a result, the reduction in the design flexibility of hardware resources can be suppressed.Therefore, the configuration described in (1) above makes it possible to provide a vehicle driving data processing method or apparatus that outputs data used in a system or apparatus equipped with a function to display data in a way that allows for visual comparison, while suppressing a decrease in the design flexibility of the hardware resources of the system or apparatus equipped with a function to display data in a way that allows for visual comparison, and which can output data that further improves the function to display data in a way that allows for visual comparison.

[0007] Data granularity, in other words, refers to the fineness of the data or the sampling frequency. For example, when driving trajectory information composed of coarse data granularity is displayed visually, it appears as polygonal lines connecting points or virtual lines where the spaces between points are computationally interpolated (see comparative example 1 and comparative example 2 in Figure 1). Therefore, when driving trajectory information composed of coarse data granularity is displayed visually, it becomes unnatural as the driving trajectory of a vehicle formed by continuous physical phenomena. For example, if one of the driving trajectory pieces in a set of three pieces of information (SI(i), SI(ii), SI(iii)) is displayed as a polygonal line, it becomes difficult to recognize the same area on the driving trajectory when visually comparing the driving trajectories and physical quantities A displayed based on the set of three pieces of information (SI(i), SI(ii), SI(iii)) with each other. For example, if one of the trajectory data points included in a set of three pieces of information (SI(i), SI(ii), SI(iii)) is displayed as a virtual line, it becomes difficult to visually compare the trajectories and physical quantities A displayed based on the set of three pieces of information (SI(i), SI(ii), SI(iii)) with each other, and to recognize the same region on the trajectory. The data granularity at which the trajectory serves as a visual clue is the data granularity at which, when the trajectory information composed of that data granularity is visually displayed, it is recognized as a natural trajectory of a physically continuous vehicle. The data granularity at which the trajectory serves as a visual clue is the data granularity at which, when visually comparing the trajectories and physical quantities A displayed based on the set of three pieces of information (SI(i), SI(ii), SI(iii)) with each other, the same region on the trajectory included in each can be recognized.

[0008] As disclosed in the background technology, when visually comparing information, it is common to display two visual images side by side or to display the difference in a graph or similar. The reason for this is that when visually comparing information, the more visual information there is, the more information the user has to remember as they move their eyes. If the amount of visual information to remember increases, the more difficult the comparison becomes. For example, if you increase the number of visual images from two to three, the amount of visual information simply increases. However, in this invention, the following three measures have been taken to make the increased visual information easier to remember, so that even when the number of visual images is increased from two to three, the comparison becomes easier. The first measure is that there is a visual cue common to the three visual images. This suppresses the increase in visual information and makes it easier for the user to remember, even when the number of visual images is increased from two to three. The second measure is that the visual cue common to the three visual images is the vehicle's driving trajectory. The vehicle's driving trajectory is an important key factor that reflects the vehicle's driving conditions. Furthermore, the vehicle's trajectory is easy to visualize and remember. The third innovation is to configure the data granularity of the vehicle's trajectory, which is common to the three visual display images, so that it serves as a visual cue. This reduces the differences in the visual shape of the vehicle's trajectory common to the three visual display images, suppressing the increase in visual information and making it easier for the user to remember. The above-mentioned effects can be obtained with the above-mentioned configuration, which includes these three innovations.

[0009] This invention increases visual information to facilitate visual comparison, but by adding the three aforementioned improvements to the increased visual information, it is possible to suppress the reduction in the design freedom of hardware resources. For example, as disclosed in the background art, this invention differs in its means and functional direction from the approach of reducing the amount and type of data in order to improve the design freedom of hardware resources while maintaining the ease of visual comparison. This invention improves the design freedom of hardware resources while facilitating visual comparison by using the vehicle's trajectory as a visual cue common to the three visual display images. As a result, for example, the display of a pointer as a visual cue is not essential. In other words, this invention differs in its means and functional direction from, for example, a data processing device that outputs data for displaying trajectories with pointers so that they can be visually compared. This invention improves the design freedom of hardware resources while facilitating visual comparison by focusing on the data granularity of the trajectory as a visual cue. For example, without a clear perspective on the data granularity of the trajectory as a visual cue when comparing the three visual display images, it would be impossible to derive the means and functional direction of this invention.

[0010] Furthermore, physical quantity A information is information about physical quantity A that forms the basis of data displayed in a way that allows for visual comparison in a system or device equipped with a function to display data in a way that allows for visual comparison. Physical quantity A may be displayed as a difference in color relative to the travel trajectory. Physical quantity A may be displayed as a difference in the intensity of color relative to the travel trajectory. Physical quantity A may be displayed as a difference in color by increasing the width of the travel trajectory. Physical quantity A may be displayed as a difference in the intensity of color by increasing the width of the travel trajectory. Physical quantity A should be displayed in a way that does not significantly deform the shape of the travel trajectory. Furthermore, the method of displaying for visual comparison may be to display multiple display images (DI(I), DI(II), DI(III), etc.) side by side on a single screen. The method of displaying for visual comparison may also be to switch between multiple display images (DI(I), DI(II), DI(III), etc.) on a single screen. The display of the driving trajectory may show the entire data. The display of the driving trajectory may show only a portion of the entire data. The driving trajectory may be displayed by switching between the entire data and a portion of the data. The display of the driving trajectory may show both the entire data and a portion of the data.

[0011] The driving trajectory information is information about the driving trajectory that forms the basis of data displayed for visual comparison in a system or device equipped with a function to display data in a way that allows for visual comparison. The driving trajectory information may be driving data from driving on public roads. The driving trajectory information may be driving data from driving on a circuit such as a race track. The driving trajectory information is not limited to the location where the vehicle was driven, as long as it is driving data of the vehicle. The driving trajectory information may be acquired using equipment installed on the vehicle. The driving trajectory information may be information about the trajectory of a position inside or on the surface of the vehicle, or information about the trajectory of a position near the vehicle. A position near the vehicle is a specific position relative to the vehicle, such as the driver's head or arm. The driving trajectory information may include, for example, latitude and longitude information. The driving trajectory information may be information generated using GNSS (Global Navigation Satellite System), or information generated without using GNSS. The driving trajectory information may be, for example, information about the trajectory of the position of a device that receives radio waves from a GNSS satellite. The device that receives radio waves from GNSS satellites may be mounted on the vehicle or on something the driver is wearing (e.g., a helmet or wristband). Furthermore, the driving trajectory information may be obtained by correcting information regarding the trajectory of the device that receives radio waves from GNSS satellites. The driving trajectory information should not include anything that only identifies which roads on the map were traveled on. The driving trajectory shown by the driving trajectory information may deviate slightly from the actual driving trajectory. For example, if the first driving trajectory information (IT1) is generated using GNSS, it may deviate depending on the accuracy of the GNSS.

[0012] Physical quantity A is a physical quantity relating to the vehicle or rider during travel, other than the travel trajectory, and is one of the following: speed, acceleration, jerk, angle, angular velocity, angular acceleration, etc. More specifically, physical quantity A is one of the following: vehicle speed, longitudinal speed, lateral speed, longitudinal acceleration, lateral acceleration, lateral vehicle tilt angle, lateral rider tilt angle, lateral vehicle tilt angular velocity, lateral rider tilt angular velocity, lateral vehicle tilt angular acceleration, lateral rider tilt angular acceleration. Here, tilt angle, tilt angular velocity, and tilt angular acceleration refer to the tilt angle, tilt angular velocity, and tilt angular acceleration of the vehicle or rider in the lateral direction relative to the vertical direction. Physical quantity A information may be obtained using equipment installed on the vehicle.

[0013] The first physical quantity A information (IP1A) and the first driving trajectory information (IT1) are information about a vehicle acquired while it is in motion, or generated based on information acquired while it is in motion. The second physical quantity A information (IP2A) and the second driving trajectory information (IT2) are information about a vehicle acquired while it is in motion, or generated based on information acquired while it is in motion. The first driving trajectory information (IT1) and the second driving trajectory information (IT2) may be information about the same vehicle, or information about different vehicles of the same type. The first driving trajectory information (IT1) and the second driving trajectory information (IT2) may be information about different types of vehicles. The first driving trajectory information (IT1) and the second driving trajectory information (IT2) may be information about a vehicle driven by the same driver, or information about a vehicle driven by different drivers. The first travel trajectory information (IT1) and the first physical quantity A information (IP1A) acquired in the acquisition process may each include information related to time (for example, information including the year, month, day, and time). In this case, the first travel trajectory information (IT1) and the first physical quantity A information (IP1A) may be associated by information related to time. The first travel trajectory information (IT1) and the first physical quantity A information (IP1A) may be associated by information other than information related to time. The first travel trajectory information (IT1) and the first physical quantity A information (IP1A) may have information other than information related to time (for example, an identification ID), and may be associated with information related to time and other information (for example, an identification ID). In the acquisition process, the first travel trajectory information (IT1) and the first physical quantity A information (IP1A) may be acquired separately, or they may be acquired as information associated with each other. The association between the second trajectory information (IT2) and the second physical quantity A information (IP2A) is the same as the association between the first trajectory information (IT1) and the first physical quantity A information (IP1A). The first trajectory information (IT1) included in the set of information (SI(i)) that associates the first trajectory information (IT1) and the first physical quantity A information (IP1A) may or may not have a difference in data granularity between the first trajectory information (IT1) included in the set of information (SI(iii)) that associates at least the first trajectory information (IT1) and the second trajectory information (IT2). The same applies to the second trajectory information (IT2) as to the first trajectory information (IT1). The processor may change the data granularity of the acquired data when generating output data based on the information acquired in the acquisition process. Furthermore, the data granularity of the first trajectory information (IT1) and the first physical quantity A information (IP1A) included in the set of information (SI(i)) that associates the first trajectory information (IT1) and the first physical quantity A information (IP1A) may be the same, and the data granularity of the second trajectory information (IT2) and the second physical quantity A information (IP2A) included in the set of information (SI(ii)) that associates the second trajectory information (IT2) and the second physical quantity A information (IP2A) may be the same.

[0014] Furthermore, vehicle driving data may include more information, such as third physical quantity A information (IP3A) and third driving trajectory information (IT3). The data output by the output processing may include more than three sets of information. For example, it may include a set of information relating first driving trajectory information (IT1) and first physical quantity A information (IP1A) (SI(i)), a set of information relating second driving trajectory information (IT2) and second physical quantity A information (IP2A) (SI(ii)), a set of information relating third driving trajectory information (IT3) and third physical quantity A information (IP3A) (SI(iv)), and a set of information relating first driving trajectory information (IT1), second driving trajectory information (IT2), and third driving trajectory information (IT3) (SI(iii)). It is possible to increase the amount of information and sets of information. Furthermore, vehicle driving data may include information on multiple types of physical quantities, such as physical quantity B information in addition to physical quantity A information. The data output by the output processing may include more than three sets of information. For example, it may include a set of information relating the first driving trajectory information (IT1) and the first physical quantity A information (IP1A) (SI(i)), a set of information relating the second driving trajectory information (IT2) and the second physical quantity A information (IP2A) (SI(ii)), a set of information relating the first driving trajectory information (IT1) and the second driving trajectory information (IT2) (SI(iii)), a set of information relating the first driving trajectory information (IT1) and the first physical quantity B information (IP1B) (SI(v)), and a set of information relating the second driving trajectory information (IT2) and the second physical quantity B information (IP2B) (SI(vi)). For example, a set of information (SI(i)) associating the first travel trajectory information (IT1) with the first physical quantity A information (IP1A), a set of information (SI(ii)) associating the second travel trajectory information (IT2) with the second physical quantity A information (IP2A), a set of information (SI(iv)) associating the third travel trajectory information (IT3) with the third physical quantity A information (IP3A), and a set of information (SI(iv)) associating the first travel trajectory information (IT1) with the second travel trajectory information (IT2) with the third travel trajectory information The data may also include sets of information (SI(iii)) associated with the report (IT3), sets of information (SI(v)) associated with the first travel trajectory information (IT1) and the first physical quantity B information (IP1B), sets of information (SI(vi)) associated with the second travel trajectory information (IT2) and the second physical quantity B information (IP2B), and sets of information (SI(vii)) associated with the third travel trajectory information (IT3) and the third physical quantity B information (IP3B). It is possible to increase the amount of information and sets of information included in the data output by the output processing. Furthermore, based on multiple sets of information including driving trajectory information (SI(i), SI(ii), SI(iii), SI(iv), SI(v), SI(vi), SI(vii), etc.), it is also possible to display multiple display images (DI(I), DI(II), DI(III), DI(IV), DI(V), DI(VI), DI(VII), etc.) that include driving trajectory information, so that they can be visually compared. For example, the following display images may be shown: a display image including the first travel trajectory and the first physical quantity A (DI(I)), a display image including the second travel trajectory and the second physical quantity A (DI(II)), a display image including the first and second travel trajectories (DI(III)), a display image including the third travel trajectory and the third physical quantity A (DI(IV)), a display image including the first, second, and third travel trajectories (DI(III)), a display image including the first travel trajectory and the first physical quantity B (DI(V)), a display image including the second travel trajectory and the second physical quantity B (DI(VI)), and a display image including the third travel trajectory and the third physical quantity B (DI(VII)).

[0015] Furthermore, the vehicle driving data processing device of the present invention may be incorporated into a system or device equipped with a function to display data in a way that allows for visual comparison, such as a driving instruction support system or device (see, for example, Patent Document 1), a vehicle control system or device that controls a vehicle (see, for example, Patent Document 2), or a vehicle driving data recording system or device that records vehicle driving data (see, for example, Patent Document 3). In that case, the processing of the present invention may be executed in the memory and / or processor of the system or device equipped with a function to display data in a way that allows for visual comparison. The processing of the present invention may also be executed in a memory and / or processor different from the memory and / or processor of the system or device equipped with a function to display data in a way that allows for visual comparison. The vehicle driving data processing device of the present invention may be configured as a separate device from systems or devices that have a function to display data in a way that allows for visual comparison, such as a driving instruction support system or device (see, for example, Patent Document 1), a vehicle control system or device that controls a vehicle (see, for example, Patent Document 2), or a vehicle driving data recording system or device that records vehicle driving data (see, for example, Patent Document 3). In that case, the data output from the processor of the present invention may be configured to be acquired by the processor of a system or device that has a function to display data in a way that allows for visual comparison. The method of data exchange is not limited to communication, cloud, etc. The system or device that has a function to display data in a way that allows for visual comparison may include, for example, a display device or a printing device. In the present invention, the output of data in the output processing may also refer to outputting data to a device outside the vehicle driving data processing device. The output of data in the output processing may also refer to outputting data to a processor included in the vehicle driving data processing device, which is the same as or different from the processor that performs the acquisition processing and output processing.

[0016] (2) In addition to the configuration of (1) above, the vehicle driving data processing device and vehicle driving data processing method of one embodiment of the present invention may have the following configuration. The data output during the output process is structured such that, when visually comparing the travel trajectories and physical quantities A displayed based on the three sets of information (SI(i), SI(ii), SI(iii)), at least a portion of the travel trajectories included in each of the three sets of information (SI(i), SI(ii), SI(iii))) serves as a visual cue without the need for pointers. Therefore, displaying pointers is not essential when visually comparing the travel trajectories and physical quantities A displayed based on the three sets of information (SI(i), SI(ii), SI(iii)). Using the travel trajectories without pointers as a visual cue makes it easier to visually compare the travel trajectories and physical quantities A displayed based on the three sets of information (SI(i), SI(ii), SI(iii)). For example, when displaying a pointer on a display image (DI(I)) including a first driving trajectory and a first physical quantity A, and on a display image (DI(III)) including a first driving trajectory and a second driving trajectory, the data output by the output process requires the association of pointer position information, driving trajectory information, and physical quantity A information so that the pointer position can be synchronized in these two display images (DI(I), DI(III)). Since the pointer is not mandatory, the addition of pointer position information for displaying the pointer and the association of pointer position information, driving trajectory information, and physical quantity A information are not mandatory. Therefore, the load on hardware resources can be reduced. As a result, the reduction in the design flexibility of hardware resources can be minimized. Accordingly, the configurations of (1) and (2) above allow for the output of a vehicle driving data processing method or apparatus that outputs data used in a system or apparatus equipped with a function to display data in a visually comparable manner, while further minimizing the reduction in the design flexibility of hardware resources of the system or apparatus equipped with a function to display data in a visually comparable manner. If hardware resources are available, you may also use the track with the pointer displayed as a visual cue, in addition to the track without the pointer displayed.

[0017] (3) A vehicle driving data processing device and a vehicle driving data processing method according to one embodiment of the present invention may have the following configurations in addition to the configuration of (1) or (2) above. The data output during the output process is structured such that, when visually comparing the trajectories and physical quantities A displayed based on the three sets of information (SI(i), SI(ii), SI(iii)), at least a portion of the turning portion of the trajectory included in each of the three sets of information (SI(i), SI(ii), SI(iii)) serves as a visual cue. The turning portion of the trajectory is a visually distinctive part. Therefore, the turning trajectory, which is visually distinctive, can be used as a visual cue to make it even easier to visually compare the trajectories and physical quantities A displayed based on the three sets of information (SI(i), SI(ii), SI(iii)) to each other. Because the turning trajectory, which is visually distinctive, serves as a visual cue, for example, the display of a pointer is not essential when visually comparing the trajectories and physical quantities A displayed based on the three sets of information (SI(i), SI(ii), SI(iii)). For example, when displaying a pointer on a display image (DI(I)) including a first driving trajectory and a first physical quantity A, and on a display image (DI(III)) including a first driving trajectory and a second driving trajectory, the data output by the output process requires association between pointer position information, driving trajectory information, and physical quantity A information so that the pointer position can be synchronized in these two display images (DI(I), DI(III)). Since displaying the pointer is not mandatory, the addition of pointer position information for displaying the pointer and the association between pointer position information, driving trajectory information, and physical quantity A information are not mandatory. Therefore, the load on hardware resources can be reduced. As a result, the reduction in the design flexibility of hardware resources can be minimized. Accordingly, with the configurations of (1) and (3) above, it is possible to provide a vehicle driving data processing method or apparatus that outputs data used in a system or apparatus equipped with a function to display data in a visually comparable manner, which can output data that further improves the function to display data in a visually comparable manner while further minimizing the reduction in the design flexibility of hardware resources of the system or apparatus equipped with a function to display data in a visually comparable manner.In addition, when there is sufficient hardware resources, in addition to the driving trajectory without pointer display, the driving trajectory with pointer display may also be used as a visual clue.

[0018] (4) The vehicle running data processing device and the vehicle running data processing method according to an embodiment of the present invention may have the following configurations in addition to any of the configurations of (1), (2), and (3) above. When visually comparing the driving trajectories and the physical quantities A displayed based on the three information sets (SI(i), SI(ii), SI(iii)) of the data output in the output process, at least a part of the driving trajectories included in each of the three information sets (SI(i), SI(ii), SI(iii)) is configured with a data granularity in the time series direction so as to be a visual clue. Therefore, it is possible to more easily obtain the driving trajectory information at a sampling frequency adjusted according to the assumed vehicle speed during driving. If the sampling frequency is too low, it will be displayed unnaturally as the driving trajectory of the vehicle and cannot be used as a visual clue. On the other hand, if the sampling frequency is too high, the load on the hardware resources will increase, and the design freedom of the hardware resources will be significantly reduced. Therefore, with the configurations of (1) and (4) above, while further suppressing the reduction in the design freedom of the hardware resources of the system or device having the function of displaying for visual comparison, it is possible to output data that further improves the function of displaying for visual comparison, and a vehicle running data processing method or device that outputs data used in a system or device having the function of displaying for visual comparison can be provided. Note that the data granularity in the time series direction so as to be a visual clue can be rephrased as the data granularity obtained at a sampling frequency adjusted according to the assumed vehicle speed during driving so as to be a visual clue.

[0019] (5) The vehicle running data processing device and the vehicle running data processing method according to an embodiment of the present invention may have the following configurations in addition to any of the configurations of (1), (2), (3), and (4) above. The data output by the output process is structured so that, when visually comparing travel trajectories and physical quantities A displayed based on three sets of information (SI(i), SI(ii), SI(iii)), at least a portion of the travel trajectories included in each of the three sets of information (SI(i), SI(ii), SI(iii)) is displayed as lines containing curves, providing a visual cue. The curves of the travel trajectories are smooth and are characteristic parts of their visual shape. Therefore, by using the travel trajectories, which are lines containing characteristic curves, as a visual cue, it becomes even easier to visually compare the travel trajectories and physical quantities A displayed based on the three sets of information (SI(i), SI(ii), SI(iii)). Because the travel trajectories, which are lines containing characteristic curves, are used as a visual cue, for example, the display of a pointer is not essential when visually comparing the travel trajectories and physical quantities A displayed based on the three sets of information (SI(i), SI(ii), SI(iii)). For example, when displaying a pointer on a display image (DI(I)) including a first driving trajectory and a first physical quantity A, and on a display image (DI(III)) including a first driving trajectory and a second driving trajectory, the data output by the output process requires association between pointer position information, driving trajectory information, and physical quantity A information so that the pointer position can be synchronized in these two display images (DI(I), DI(III)). Since displaying the pointer is not mandatory, the addition of pointer position information for displaying the pointer and the association between pointer position information, driving trajectory information, and physical quantity A information are not mandatory. Therefore, the load on hardware resources can be reduced. As a result, the reduction in the design flexibility of hardware resources can be minimized. Accordingly, with the configurations of (1) and (5) above, it is possible to provide a vehicle driving data processing method or apparatus that outputs data used in a system or apparatus equipped with a function to display data in a visually comparable manner, which further enhances the function to display data in a visually comparable manner while further minimizing the reduction in the design flexibility of hardware resources of the system or apparatus equipped with a function to display data in a visually comparable manner.In addition, when there is sufficient hardware resources, in addition to the travel trajectory without pointer display, the travel trajectory with pointer display may also be used as a visual clue.

[0020] (6) The vehicle travel data processing device and the vehicle travel data processing method according to an embodiment of the present invention may have the following configuration in addition to any of the configurations of (1), (2), (3), (4), and (5) above. The data output by the output processing consists of data with a sampling frequency of 10Hz to 50Hz, which allows for visual comparison of driving trajectories and physical quantities A based on three sets of information (SI(i), SI(ii), SI(iii)), so that at least a portion of the driving trajectories included in each of the three sets of information (SI(i), SI(ii), SI(iii)) is naturally displayed as the vehicle's driving trajectory, serving as a visual cue. The wheelbase of a motorcycle, which is classified as a small vehicle, is approximately 100-150cm. The assumed maximum vehicle speed during turning is 30-150km / h. For example, when driving at 30km / h with a turning radius of 10m, the lateral acceleration is approximately 0.7G. For example, when displayed on a tablet, a diameter of 20m is scaled down to approximately 1 / 200 so that it fits within approximately 10cm. To display the vehicle's trajectory naturally as a visual cue, it is preferable that the data interval be smaller than the wheelbase at the assumed vehicle speed. If the vehicle's wheelbase is 100 cm, the assumed vehicle speed is 30 km / h, and the sampling frequency is 10 Hz, the data interval will be approximately 83 cm. For example, on a tablet, the data interval will be 5 mm or less. By interpolating the data, it will appear as a natural trajectory. On the other hand, if the vehicle's wheelbase is 150 cm, the assumed vehicle speed is 150 km / h, and the sampling frequency is 50 Hz, the data interval will also be approximately 83 cm. In either case, since it is smaller than the motorcycle's wheelbase of approximately 100-150 cm, it can be displayed naturally as a vehicle's trajectory as a visual cue. Note that the wheelbase of a car is longer than that of a motorcycle, so it can be covered within the above range. Note that if the sampling frequency is lower than 10 Hz, the trajectory will appear unnatural when displayed for visual comparison. Therefore, 10 Hz is the lower limit. On the other hand, even if the sampling frequency is higher than 50Hz, for example, when displaying the data on a tablet screen and visually comparing the driving trajectories and physical quantities A displayed based on the three sets of information (SI(i), SI(ii), SI(iii)), no difference can be found from the perspective of visual cues.To suppress the load on hardware resources, 50Hz is the upper limit. Since the data granularity is composed of 10-50Hz in sampling frequency equivalent, which naturally displays as a vehicle's trajectory to provide a visual cue, it is possible to further improve the ability to display data for visual comparison while minimizing the reduction in design flexibility of the hardware resources of a system or device equipped with a visual comparison display function. Furthermore, if the data granularity is composed of 15-35Hz, which is close to the middle of the 10-50Hz range in sampling frequency equivalent, which naturally displays as a vehicle's trajectory to provide a visual cue, it is possible to further improve the balance between the design flexibility of hardware resources, the functionality of displaying data for visual comparison, and the versatility proportional to the number of target vehicle types. Note that the data granularity in sampling frequency equivalent in (6) above refers to the data interval at a certain sampling frequency at the assumed maximum vehicle speed during the assumed vehicle's turn. Note that the data acquired in the acquisition process is data with a sampling frequency of 10-50Hz, and it is acceptable to output it with that data granularity. Furthermore, even if the data acquired during the acquisition process has a sampling frequency higher than 10-50Hz, it may be processed to convert the sampling frequency to 10-50Hz before being output.

[0021] In this invention, the processor of the vehicle driving data processing device includes a microcontroller, a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), a microprocessor, a multiprocessor, an application-specific integrated circuit (ASIC), a programmable logic circuit (PLC), a field-programmable gate array (FPGA), and any other circuitry capable of performing the processing described herein.

[0022] In this invention, a vehicle may or may not have wheels. In this invention, a vehicle travels on at least one of the following: ground, snow, water, and air. In this invention, a vehicle may or may not have a power source that generates power for travel. In this invention, a vehicle may include saddle-type vehicles. Saddle-type vehicles refer to all vehicles on which the driver sits in a saddle-like position. Saddle-type vehicles include motorcycles, motorcycle tricycles, ATVs (All Terrain Vehicles), snowmobiles, personal watercraft, etc. Motorcycles include scooters, motorbikes, mopeds, etc. In this invention, a vehicle may include four-wheeled vehicles (automobiles) other than saddle-type vehicles. In this invention, a vehicle may include vessels other than saddle-type vehicles. In this invention, a vehicle may be an aerial vehicle such as a drone. In the present invention, the vehicle may be capable of driving automatically without driver intervention. In the present invention, the vehicle driving data may be data relating to the vehicle when it is being driven by driver intervention, or data relating to the vehicle when it is driving automatically without driver intervention.

[0023] In this specification, the forward direction of a vehicle refers to the direction in which an upright vehicle moves straight along a horizontal plane. In this specification, the left-right direction of a vehicle refers to the direction perpendicular to the front-rear direction of the vehicle, and is the left-right direction as seen from the perspective of the driver riding in the vehicle.

[0024] Furthermore, the data output by the output process includes three sets of information (SI(i), SI(ii), SI(iii)) each containing trajectory information used to display the trajectories in a way that allows for visual comparison of the trajectories, namely, a set of information (SI(i)) linking the first trajectory information (IT1) and the first physical quantity A information (IP1A), a set of information (SI(ii)) linking the second trajectory information (IT2) and the second physical quantity A information (IP2A), and information linking at least the first trajectory information (IT1) and the second trajectory information (IT2). When visually comparing travel trajectories and physical quantities A displayed based on the three sets of information (SI(i), SI(ii), SI(iii)), including set (SI(iii)), it can be determined whether at least a portion of the travel trajectories included in each of the three sets of information (SI(i), SI(ii), SI(iii)) are composed of data with a granularity that can serve as a visual clue, using a system or device equipped with a function to display the output data in a way that allows for visual comparison.

[0025] In the present invention and herein, "to acquire, generate, or control based on certain data" means, unless otherwise specified, that acquisition, generation, or control may be based solely on that data, or on that data and other data. This definition also applies to operations other than acquisition, generation, or control based on certain data.

[0026] In this invention, the words "including," "comprising," "having," and their derivatives are used with the intention of encompassing additional items in addition to the listed items and their equivalents. In this invention, the terms mounted, connected, coupled, and supported are used in a broad sense. Specifically, this includes not only direct mounting, connection, coupling, and support, but also indirect mounting, connection, coupling, and support. Furthermore, connected and coupled are not limited to physical or mechanical connections / couplings. They also include direct or indirect electrical connections / couplings.

[0027] Unless otherwise defined, all terms used herein (including technical and scientific terms) have the same meaning as commonly understood by those skilled in the art to which this invention belongs. Terms such as those defined in commonly used dictionaries should be construed to have the meaning consistent with their meaning in the context of the relevant art and this disclosure, and not to be construed in an idealized or overly formal sense.

[0028] In this specification, the term “preferred” is nonexclusive. “Preferred” means “preferred, but not limited to.” In this specification, a configuration described as “preferred” will produce at least the effects described above obtained by the configuration of (1). Also, in this specification, the term “may be” is nonexclusive. “may be” means “may be, but not limited to.” In this specification, a configuration described as “may be” will produce at least the effects described above obtained by the configuration of (1).

[0029] The present invention does not limit the combination of the preferred configurations described above. Before describing embodiments of the present invention in detail, it should be understood that the present invention is not limited to the details of the configuration and arrangement of the components described or illustrated in the drawings below. The present invention can also be implemented in embodiments other than those described below. The present invention can also be implemented in embodiments that have been modified in various ways from the embodiments described below. Furthermore, the present invention can be implemented by appropriately combining the embodiments and modifications described below. [Effects of the Invention]

[0030] According to the present invention, a vehicle driving data processing method or apparatus that outputs data used in a system or apparatus equipped with a function to display data in a way that allows for visual comparison can output data that further improves the function to display data in a way that allows for visual comparison, while suppressing a decrease in the design flexibility of the hardware resources of the system or apparatus equipped with a function to display data in a way that allows for visual comparison. [Brief explanation of the drawing]

[0031] [Figure 1] Figure 1 shows several examples of the configuration of a vehicle driving data device according to an embodiment of the present invention. [Figure 2] Figure 2 shows one example from among several examples in Figure 1. [Figure 3] Figure 3 shows another example from among the multiple examples shown in Figure 1. [Figure 4] Figure 4 shows yet another example from among the multiple examples in Figure 1. [Figure 5] Figure 5 shows yet another example from among the multiple examples in Figure 1. [Figure 6] Figure 6 is a diagram illustrating an example of data output in the output processing of the vehicle driving data device of the present invention. [Figure 7] Figure 7 illustrates another example of data output in the output processing of the vehicle driving data device of the present invention. [Figure 8]Figure 8 illustrates yet another example of data output in the output processing of the vehicle driving data device of the present invention. [Modes for carrying out the invention]

[0032] Next, a vehicle driving data processing device 1 according to an embodiment of the present invention will be described with reference to Figures 1 to 5. Figures 1 to 5 show an overview of the configuration of the vehicle driving data processing device 1 and an overview of the vehicle driving data processing method executed by the vehicle driving data processing device 1. Figure 1 shows four examples of the vehicle driving data processing device 1. The vehicle driving data processing device 1 in Figures 2 to 5 corresponds to the four examples shown in Figure 1, respectively. As shown in Figures 2 to 5, the vehicle driving data processing device 1 includes a memory 3 and a processor 2. The processor 2 executes an acquisition process S1 and an output process S2. In the acquisition process S1, the processor 2 acquires at least the first physical quantity A information IP1A, the second physical quantity A information IP2A, the first driving trajectory information IT1, and the second driving trajectory information IT2 into the memory 3. The data output in output processing S2 includes three sets of information SI(i), SI(ii), and SI(iii) that each contain trajectory information used to display the trajectories in a way that allows for visual comparison of the trajectories, namely, set SI(i) which associates the first trajectory information IT1 with the first physical quantity A information IP1A, set SI(ii) which associates the second trajectory information IT2 with the second physical quantity A information IP2A, and set SI(iii) which associates at least the first trajectory information IT1 with the second trajectory information IT2.

[0033] Figure 1 (upper right) and Figure 2 show two examples of data output in output processing S2. In Figure 1 (upper left) and Figure 3, the output data includes three sets of information SI(i), SI(ii), and SI(iii), as well as a set of information SI(iv) that associates the third travel trajectory information IT3 with the third physical quantity A information IP3A, with set SI(iii) being a set of information that associates the first travel trajectory information IT1 with the second travel trajectory information IT2 with the third travel trajectory information IT3. In Figure 1 (lower right) and Figure 4, the output data includes three sets of information SI(i), SI(ii), and SI(iii), as well as a set of information SI(v) that associates the first travel trajectory information IT1 with the first physical quantity B information IP1B, and a set of information SI(vi) that associates the second travel trajectory information IT2 with the second physical quantity B information IP2B. In the lower left diagram of Figure 1 and in Figure 5, the output data includes, in addition to the three sets of information SI(i), SI(ii), and SI(iii), a set of information SI(iv) linking the third travel trajectory information IT3 with the third physical quantity A information IP3A, a set of information SI(v) linking the first travel trajectory information IT1 with the first physical quantity B information IP1B, a set of information SI(vi) linking the second travel trajectory information IT2 with the second physical quantity B information IP2B, and a set of information SI(vii) linking the third travel trajectory information IT3 with the third physical quantity B information IP3B. Figures 1 to 5 also show the display images DI(I), DI(II), DI(III), DI(IV), DI(V), DI(VI), and DI(VII) when the data output in output processing S2 is used in a system or device equipped with a function to display it in a way that allows for visual comparison (not shown), allowing for visual comparison. Display images DI(I), DI(II), DI(III), DI(IV), DI(V), DI(VI), and DI(VII) correspond to information sets SI(i), SI(ii), SI(iii), SI(iv), SI(v), SI(vi), and SI(vii), respectively.

[0034] As shown in Figures 2 to 5, the line width Wa1 when the first travel trajectory information IT1 included in information set SI(iii) is displayed in a way that allows for visual comparison may be smaller than the line width Wb1 when the first travel trajectory information IT1 included in information set SI(i) is displayed in a way that allows for visual comparison. Similarly, the line width Wa2 when the second travel trajectory information IT2 included in information set SI(iii) is displayed in a way that allows for visual comparison may be smaller than the line width Wb2 when the second travel trajectory information IT2 included in information set SI(ii) is displayed in a way that allows for visual comparison.

[0035] In the display image DI(III) in Figures 1 to 5, the trajectory indicated by the first trajectory information IT1 is displayed as a dashed line, and the trajectory indicated by the second trajectory information IT2 is displayed as a solid line. Also, in the display image DI(III) in Figures 1, 3, and 5, the trajectory indicated by the third trajectory information IT3 is displayed as a dashed line. The display format for the first trajectory information IT1, the second trajectory information IT2, and the third trajectory information IT3 in the display image DI(III) is not limited to these. For example, the trajectory indicated by the first trajectory information IT1 and the trajectory indicated by the second trajectory information IT2 may be displayed as solid lines of different colors. In Figures 1 to 5, physical quantities A and B are displayed using a combination of shades of a single color and diagonal hatching, but the display format for physical quantities A and B is not limited to this.

[0036] Figures 6 to 8 show other specific examples of multiple display images, including driving trajectories, that are displayed for visual comparison based on the data output in output processing S2. In the examples in Figures 6 to 8, physical quantity A is forward acceleration and physical quantity B is lateral acceleration. Figures 6 to 8 show examples of display images DI(I), DI(II), DI(III), DI(V), and DI(VI). In display images DI(V) and DI(VI) in Figures 6 to 8, the display format changes according to the absolute value of the lateral acceleration, regardless of whether the lateral acceleration is positive or negative. However, the display format may differ depending on whether the lateral acceleration is positive or negative.

[0037] In the example in Figure 6, the first driving trajectory information IT1 and the second driving trajectory information IT2 represent information from the same vehicle driven by the same driver. The first driving trajectory information IT1 represents information from a driving period prior to the second driving trajectory information IT2. In the example in Figure 7, the first driving trajectory information IT1 and the second driving trajectory information IT2 represent information from the same type of vehicle driven by different drivers. In the example in Figure 8, the first driving trajectory information IT1 represents information from the driving of vehicle A, and the second driving trajectory information IT2 represents information from the driving of vehicle B, which is a different type of vehicle than vehicle A. Vehicle B has a smaller maximum forward acceleration compared to vehicle A. Once vehicle B decelerates, it takes time to return to its pre-deceleration speed. Therefore, in the example in Figure 8, vehicle B is traveling with a larger turning radius than vehicle A.

[0038] In the examples in Figures 6 to 8, in addition to the display images DI(I), DI(II), DI(III), DI(V), and DI(VI), two display images IM1 and IM2 are also displayed. Display image IM1 shows the first physical quantity A information IP1A and the first physical quantity B information IP1B. Display image IM2 shows the second physical quantity A information IP2A and the second physical quantity B information IP2B. Display images IM1 and IM2 are graphs with the vertical axis representing forward acceleration (physical quantity A) and the horizontal axis representing lateral acceleration (physical quantity B). In display images IM1 and IM2, negative values ​​for lateral acceleration indicate acceleration to the left, and positive values ​​indicate acceleration to the right.

[0039] As shown in the examples in Figures 6-8, it becomes easier to visually compare driving trajectories, physical quantities A and B, displayed based on display images DI(I), DI(II), DI(III), DI(V), and DI(VI). Therefore, it becomes possible to visually grasp the differences between two driving trajectories and to visually understand how those two trajectories were realized by changes in forward and lateral acceleration. For example, this allows for a more efficient analysis of whether improvements in driving technique, depending on the driver's skill and / or the vehicle's characteristics, should be focused on the driving trajectory, forward acceleration, or lateral acceleration. Consequently, it is possible to output data that further improves the function of displaying data for visual comparison while minimizing the reduction in the design flexibility of the hardware resources of a system or device equipped with a function to display data for visual comparison. Furthermore, by including information for displaying display images IM1 and IM2 in the output data, it is possible to output data that further improves the function of displaying data for visual comparison.

[0040] In the examples in Figures 6 to 8, the display images DI(I), DI(II), DI(III), DI(V), and DI(VI) include grid lines to facilitate visual comparison, but they do not necessarily have to include such grid lines. Display image DI(I) may include an aerial photograph of the course taken from above. If display image DI(I) includes an aerial photograph, it may or may not include grid lines.

[0041] Furthermore, the first physical quantity A information of the present invention corresponds to the first physical quantity information of the basic application for this application (Japanese Patent Application No. 2023-020263), and the second physical quantity A information of the present invention corresponds to the second physical quantity information of the same basic application. [Explanation of Symbols]

[0042] 1: Vehicle driving data processing device 2: Processor 3: Memory IP1A: 1st physical quantity A information IP2A: 2nd physical quantity A information IT1: First travel trajectory information IT2: Second Driving Track Information S1: Acquisition process S2: Output Processing SI(i): A set of information relating the first travel trajectory information and the first physical quantity A information. SI(ii): A set of information that associates the second travel trajectory information with the second physical quantity A information. SI(iii): A set of information that associates the first travel trajectory information with the second travel trajectory information.

Claims

1. Equipped with memory and a processor, The processor performs an acquisition process to acquire in the memory at least first physical quantity A information (IP1A) and second physical quantity A information (IP2A) relating to physical quantity A included in vehicle driving data relating to a vehicle in motion, and first driving trajectory information (IT1) and second driving trajectory information (IT2) relating to the driving trajectory included in the vehicle driving data, A vehicle driving data processing device that performs output processing to output data used in a system or device that has a function to display data in a way that allows for visual comparison, based on at least the first physical quantity A information (IP1A), the second physical quantity A information (IP2A), the first driving trajectory information (IT1), and the second driving trajectory information (IT2) acquired in the memory, The data output by the output process consists of three sets of information (SI(i), SI(ii), SI(iii)) each containing trajectory information used to display the trajectories for visual comparison, namely, a set of information (SI(i)) relating the first trajectory information (IT1) and the first physical quantity A information (IP1A), a set of information (SI(ii)) relating the second trajectory information (IT2) and the second physical quantity A information (IP2A), and a set of information (SI(ii)) relating the first trajectory information (IT1) and the second A vehicle driving data processing device that includes at least a set of information (SI(iii)) associated with driving trajectory information (IT2), and is characterized in that, when visually comparing the driving trajectories and the physical quantity A displayed based on the three sets of information (SI(i), SI(ii), SI(iii)), at least a portion of the driving trajectories included in each of the three sets of information (SI(i), SI(ii), SI(iii)) is configured with a data granularity that serves as a visual clue.

2. The data output by the output process described above is: The vehicle driving data processing device according to claim 1, characterized in that, when visually comparing the driving trajectories and physical quantities A displayed based on the three sets of information (SI(i), SI(ii), SI(iii)), at least a portion of the driving trajectories included in each of the three sets of information (SI(i), SI(ii), SI(iii)) is configured with a data granularity that provides a visual clue without the display of a pointer.

3. The data output by the output process described above is: The vehicle driving data processing device according to claim 1 or 2, characterized in that, when visually comparing the driving trajectories and physical quantities A displayed based on the three sets of information (SI(i), SI(ii), SI(iii)), at least a portion of the driving trajectory during turns included in each of the three sets of information (SI(i), SI(ii), SI(iii)) is configured with a data granularity that serves as a visual clue.

4. The data output by the output process described above is: The vehicle driving data processing device according to claim 1 or 2, characterized in that, when visually comparing the driving trajectories and physical quantities A displayed based on the three sets of information (SI(i), SI(ii), SI(iii)), at least a portion of the driving trajectories included in each of the three sets of information (SI(i), SI(ii), SI(iii)) is composed of time-series data granularity that serves as a visual clue.

5. The data output by the output process described above is: The vehicle driving data processing device according to claim 1 or 2, characterized in that, when visually comparing the driving trajectories and physical quantities A displayed based on the three sets of information (SI(i), SI(ii), SI(iii)), at least a portion of the driving trajectories included in each of the three sets of information (SI(i), SI(ii), SI(iii)) is configured with a data granularity that is displayed as lines including curves so as to serve as a visual clue.

6. The data output by the output process described above is: The vehicle driving data processing device according to claim 1 or 2, characterized in that, when visually comparing the driving trajectories and physical quantities A displayed based on the three sets of information (SI(i), SI(ii), SI(iii)), at least a portion of the driving trajectories included in each of the three sets of information (SI(i), SI(ii), SI(iii)) is configured with a data granularity of 10 Hz to 50 Hz in terms of sampling frequency so that it can be naturally displayed as the driving trajectory of the vehicle, so as to serve as a visual clue.

7. The processor of a vehicle driving data processing device comprising memory and a processor, An acquisition process that acquires at least the following into the memory: first physical quantity A information (IP1A) and second physical quantity A information (IP2A) relating to physical quantity A included in vehicle driving data relating to a vehicle in motion, and first driving trajectory information (IT1) and second driving trajectory information (IT2) relating to the driving trajectory included in the vehicle driving data; A vehicle driving data processing method that causes the system or device to perform output processing to output data used in a system or device that has a function to display data in a way that allows for visual comparison, based on at least the first physical quantity A information (IP1A), the second physical quantity A information (IP2A), the first driving trajectory information (IT1), and the second driving trajectory information (IT2) acquired in the memory, The data output by the output process consists of three sets of information (SI(i), SI(ii), SI(iii)) each containing trajectory information used to display the trajectories for visual comparison, namely, a set of information (SI(i)) relating the first trajectory information (IT1) and the first physical quantity A information (IP1A), a set of information (SI(ii)) relating the second trajectory information (IT2) and the second physical quantity A information (IP2A), and a set of information (SI(ii)) relating the first trajectory information (IT1) and the second A vehicle driving data processing method comprising a set of information (SI(iii)) associated with at least driving trajectory information (IT2), and characterized in that, when visually comparing the driving trajectories and physical quantities A displayed based on the three sets of information (SI(i), SI(ii), SI(iii)), at least a portion of the driving trajectories included in each of the three sets of information (SI(i), SI(ii), SI(iii)) is configured with a data granularity that serves as a visual clue.

8. The data output by the output process described above is: The vehicle driving data processing method according to claim 7, characterized in that when visually comparing the driving trajectories and physical quantities A displayed based on the three sets of information (SI(i), SI(ii), SI(iii)), at least a portion of the driving trajectories included in each of the three sets of information (SI(i), SI(ii), SI(iii)) is configured with a data granularity that provides a visual clue without the display of a pointer.

9. The data output by the output process described above is: The vehicle driving data processing method according to claim 7 or 8, characterized in that when visually comparing the driving trajectories and physical quantities A displayed based on the three sets of information (SI(i), SI(ii), SI(iii)), at least a portion of the driving trajectory during turns included in each of the three sets of information (SI(i), SI(ii), SI(iii)) is composed of data with a granularity that serves as a visual clue.

10. The data output by the output process described above is: The vehicle driving data processing method according to claim 7 or 8, characterized in that when visually comparing the driving trajectories and physical quantities A displayed based on the three sets of information (SI(i), SI(ii), SI(iii)), at least a portion of the driving trajectories included in each of the three sets of information (SI(i), SI(ii), SI(iii)) is composed of time-series data granularity that serves as a visual clue.

11. The data output by the output process described above is: The vehicle driving data processing method according to claim 7 or 8, characterized in that when visually comparing the driving trajectories and physical quantities A displayed based on the three sets of information (SI(i), SI(ii), SI(iii)), at least a portion of the driving trajectories included in each of the three sets of information (SI(i), SI(ii), SI(iii)) is configured with a data granularity that displays lines including curves so as to serve as visual cues.

12. The data output by the output process described above is: The vehicle driving data processing method according to claim 7 or 8, characterized in that when visually comparing the driving trajectories and physical quantities A displayed based on the three sets of information (SI(i), SI(ii), SI(iii)), at least a portion of the driving trajectories included in each of the three sets of information (SI(i), SI(ii), SI(iii)) is composed of data with a sampling frequency of 10 Hz to 50 Hz so as to be a visual clue and be displayed naturally as the driving trajectory of the vehicle.

Images