Straddled-vehicle data processing device and straddled-vehicle data processing method

Abstract

A straddled-vehicle data processing device (1) has a processor (2) configured to execute at least: a data acquisition process (S1) of acquiring at least riding data (30) related to turning of a straddled vehicle, and self-reporting information (40) related to turning of the straddled vehicle, self-reported by a rider R; and a data output process (S2) of outputting output data (20) in which, among a plurality of pieces of turning-related advice information in accordance with at least a portion (30a) of the riding data (30) related to turning, a piece of turning-related advice information (50) that is highly relevant to the self-reporting information related to the turning is at least correlated with the self-reporting information related to the turning.

Description

Straddled vehicle data processing device and straddled vehicle data processing method

[0001] The present invention relates to a straddled vehicle data processing device and a straddled vehicle data processing method that output advice information about the driving technique of a rider of a straddled vehicle.

[0002] Conventionally, there are straddled vehicle data processing devices that output advice information about the driving technique of a rider of a straddled vehicle. For example, the straddled vehicle data processing device disclosed in Patent Document 1 acquires composite data, which are driving data, and composite reference data, and outputs comments, such as advice about the rider's driving technique. The composite data is composite data in which turning trajectory data relating to the trajectory during a turning operation is associated with turning posture data relating to the posture of at least one of the straddled vehicle and the rider during the turning operation, or composite data in which straight-line arc trajectory data relating to a linear trajectory and an arc trajectory continuing from the straight-line trajectory is associated with acceleration data relating to the acceleration of the straddled vehicle when traveling along this trajectory. The composite reference data is data that serves as a reference for similarity and difference with the composite data. The straddled vehicle data processing device disclosed in Patent Document 1 outputs composite comment data in which the composite data is associated with at least high-difference comments, which are comments about feature points where the composite data has a high similarity to the composite reference data, and high-difference comments, which are comments about feature points where the composite data has a high difference from the composite reference data. This configuration reduces the amount of data processed by the straddled vehicle data processing device compared to when comments are generated for each of many items to encourage the development of the rider's driving technique, or when comments are generated for each of many riding scenes to encourage the development of the rider's driving technique. As a result, the straddled vehicle data processing device of Patent Document 1 can output comments that ensure the function of encouraging the development of the rider's driving technique, while improving the design freedom of hardware resources such as the processor and memory of the straddled vehicle data processing device.

[0003] International Publication No. 2023 / 112092

[0004] A straddled vehicle data processing device that outputs advice information about the driving skills of a straddled vehicle rider is required to output advice information that ensures the function of encouraging the rider to improve their driving skills while increasing the design freedom of hardware resources.

[0005] The present invention aims to provide a straddled vehicle data processing device and a straddled vehicle data processing method that use technology different from that of the straddled vehicle data processing device of Patent Document 1 to output advice information that ensures the function of encouraging the rider's driving skill development while improving the design freedom of hardware resources.

[0006] (1) A straddled vehicle data processing device according to one embodiment of the present invention has the following configuration: A straddled vehicle data processing device that acquires driving data related to at least the turning of a straddled vehicle, and generates and outputs advice information about the driving technique of a rider of the straddled vehicle based on at least the acquired driving data, the data processing device having a processor configured to execute at least a data acquisition process that acquires at least the driving data related to the turning of the straddled vehicle and self-reported information, which is information related to the turning of the straddled vehicle self-reported by the rider, and a data output process that outputs output data in which the advice information related to turning that is highly relevant to the self-reported information related to turning is associated with at least the self-reported information related to turning, from a plurality of pieces of advice information related to turning that correspond to at least a portion of the driving data related to turning.

[0007] According to this configuration, the straddled vehicle data processing device acquires driving data related to the turning of the straddled vehicle and self-reported information related to the turning of the straddled vehicle self-reported by the rider. The self-reported information is of great interest to the rider because it is information self-reported by the rider. Furthermore, when turning a straddled vehicle, a sense of unity between the rider and the vehicle is created, and differences in the rider's driving skill are easily apparent. Therefore, the self-reported information related to turning is of great interest to the rider. The straddled vehicle data processing device outputs output data that associates at least advice information related to turning that is highly relevant to the self-reported information related to turning, among a plurality of pieces of advice information related to turning that correspond to at least a portion of the driving data related to turning. In this way, the output advice information is determined by the self-reported information related to turning, which is information of great interest to the rider, and the driving data related to turning, so that advice information that is more easily accepted and easier for the rider to follow can be output. In other words, by using the self-reported information related to turning and the driving data related to turning, advice information that is more likely to promote the improvement of the rider's driving skill can be output. For example, when advice information is generated using only driving data and advice comments are generated for each of many items to encourage the rider's driving skill development, the amount of data processed by the straddled vehicle data processing device is large. Similarly, when advice information is generated using only driving data and advice comments are generated for each of many driving scenes to encourage the rider's driving skill development, the amount of data processed by the straddled vehicle data processing device is also large. Compared to such straddled vehicle data processing devices, the straddled vehicle data processing device of the present invention, like the straddled vehicle data processing device of Patent Document 1, can reduce the amount of data processed by the straddled vehicle data processing device while maintaining the function of providing advice information to encourage the rider's driving skill development. This allows the use of hardware resources with low processing power and memory capacity.As a result, the degree of freedom in designing hardware resources such as the processor and memory of the straddled vehicle data processing device can be improved. Furthermore, the technical idea of ​​outputting advice information based on self-reported information and driving data differs from the technical idea of ​​Patent Document 1, which is to output comments such as advice about feature points of the composite data (driving data) that have a high degree of similarity or difference with the composite reference data (driving data). Therefore, the straddled vehicle data processing device of the present invention, by using a technology different from that of the straddled vehicle data processing device of Patent Document 1, can improve the degree of freedom in designing hardware resources while maintaining the function of providing advice information to encourage the development of the rider's driving technique.

[0008] (2) In addition to the configuration of (1) above, a straddled vehicle data processing device according to one embodiment of the present invention may have the following configuration: In the data acquisition process, the driving data related to turning and the self-reported information including at least information on a plurality of events related to turning of the straddled vehicle are acquired.

[0009] With this configuration, the self-reported information includes information on multiple events related to turning. This makes it easier to improve the functionality of the advice information, which encourages the rider to improve their driving skills, while minimizing the increase in the amount of data processed by the straddled vehicle data processing device. This allows for greater flexibility in designing hardware resources while ensuring the functionality of the advice information, which encourages the rider to improve their driving skills.

[0010] (3) In addition to the configuration of (2) above, a straddled vehicle data processing device according to one embodiment of the present invention may have the following configuration: In the data output process, the output data is output in which the self-reported information about turning is at least associated with the advice information about turning that includes at least a plurality of pieces of information highly relevant to the plurality of event information about turning included in the self-reported information, among the plurality of pieces of advice information about turning that correspond to at least a portion of the driving data about turning.

[0011] According to this configuration, the advice information includes a plurality of pieces of information that are highly relevant to the plurality of pieces of event information included in the self-reported information. This makes it possible to suppress an increase in the amount of data processed by the straddled vehicle data processing device while further enhancing the functionality of the advice information in encouraging the rider's improvement in driving technique. This allows for greater flexibility in designing hardware resources while ensuring the functionality of the advice information in encouraging the rider's improvement in driving technique.

[0012] (4) A straddled vehicle data processing device according to one embodiment of the present invention may have the following configuration in addition to any one of the configurations (1) to (3) above: In the data acquisition process, at least the traveling data related to turning and the plurality of pieces of self-reported information related to turning self-reported by the rider at different times are acquired, and in the data output process, the output data is output in which at least the plurality of pieces of self-reported information related to turning self-reported by the rider at different times and the plurality of pieces of advice information related to turning are associated such that, among the plurality of pieces of advice information related to turning that correspond to at least a portion of the traveling data related to turning, the advice information related to turning that is highly relevant to the self-reported information related to turning is associated with each piece of advice information.

[0013] With this configuration, the straddled vehicle data processing device acquires multiple pieces of self-reported information self-reported by the rider at different times. Then, output data is output in which the multiple pieces of self-reported information are associated with multiple pieces of advice information so that each piece of self-reported information is associated with a piece of advice information. This can further enhance the function of encouraging the rider to improve their driving skills using the output data while minimizing an increase in the amount of data processed by the straddled vehicle data processing device. This can improve the design flexibility of hardware resources while maintaining the function of encouraging the rider to improve their driving skills using the output data.

[0014] (5) A straddled vehicle data processing device according to one embodiment of the present invention may have the following configuration in addition to any one of the configurations (1) to (4) above: In the data acquisition process, in addition to the driving data related to turning and the self-reported information related to turning, at least perceived growth information indicating a degree of growth in driving skill related to turning based on the rider's sense, as set by the rider, is acquired, and in the data output process, the output data is output in which at least advice information related to turning that is highly relevant to the self-reported information related to turning, the self-reported information related to turning, and the perceived growth information related to turning are associated with each other, out of a plurality of pieces of advice information related to turning that correspond to at least a portion of the driving data related to turning.

[0015] According to this configuration, the output data includes subjective growth information indicating the degree of growth in the rider's driving skill based on the rider's subjective experience, as set by the rider. This makes it easier to suppress an increase in the amount of data processed by the straddled vehicle data processing device while enhancing the function of encouraging the rider's driving skill growth through the output data. This allows for increased flexibility in designing hardware resources while ensuring the function of encouraging the rider's driving skill growth through the output data.

[0016] (6) A straddled vehicle data processing device according to one embodiment of the present invention may have the following configuration in addition to any one of the configurations (1) to (5) above: In the data output process, the output data is output in which, among the plurality of pieces of advice information related to turning that correspond to at least a portion of the traveling data related to turning, the advice information related to turning that is highly relevant to the self-reported information related to turning, the self-reported information related to turning, and at least a portion of the traveling data related to turning acquired in the data acquisition process are associated with each other.

[0017] According to this configuration, the output data includes at least a portion of the driving data related to turning in addition to the self-reported information and the advice information. This makes it easier to suppress an increase in the amount of data processed by the straddled vehicle data processing device while enhancing the function of encouraging the rider's driving skill improvement through the output data. This allows for increased flexibility in designing hardware resources while ensuring the function of encouraging the rider's driving skill improvement through the output data.

[0018] (7) In addition to the configuration of (6) above, a straddled vehicle data processing device according to one embodiment of the present invention may have the following configuration: in the data acquisition process, the travel data including at least pre-training travel data related to turning of the straddled vehicle before a predetermined driving training session and post-training travel data related to turning of the straddled vehicle after the predetermined driving training session, and the self-reported information related to turning are acquired, and in the data output process, the output data is output in which, of the plurality of pieces of advice information related to turning that correspond to at least a portion of at least one of the pre-training travel data and the post-training travel data, the advice information that is highly relevant to the self-reported information related to turning, the self-reported information related to turning, at least a portion of the pre-training travel data related to turning, and at least a portion of the post-training travel data related to turning are at least associated.

[0019] With this configuration, the output data includes at least a portion of the pre-training driving data and at least a portion of the post-training driving data in addition to the self-reported information and advice information. This makes it easier to suppress an increase in the amount of data processed by the straddled vehicle data processing device while further enhancing the function of encouraging the rider's driving skill improvement through the output data. This therefore improves the design flexibility of hardware resources while ensuring the function of encouraging the rider's driving skill improvement through the output data.

[0020] (8) A straddled vehicle data processing device according to an embodiment of the present invention may have the following configuration in addition to any of the configurations described above in (1) to (7): The self-reported information regarding turning acquired in the data acquisition process is information acquired from a support system that derives the self-reported information through an exchange of information with the rider via a terminal device into which the rider can input information.

[0021] This configuration makes it easy to obtain self-reported information suitable for outputting advice information that is more likely to encourage the rider's improvement in driving technique. Therefore, it is easy to enhance the functionality of the advice information to encourage the rider's improvement in driving technique without increasing the amount of data processed by the straddled vehicle data processing device. Therefore, it is possible to improve the design flexibility of hardware resources while ensuring the functionality of the advice information to encourage the rider's improvement in driving technique.

[0022] (9) A straddled vehicle data processing method according to one embodiment of the present invention has the following configuration: A straddled vehicle data processing method in a straddled vehicle data processing device that acquires driving data related to at least the turning of a straddled vehicle and generates and outputs advice information about the driving technique of a rider of the straddled vehicle based on at least the acquired driving data, the method comprising at least a data acquisition process that acquires at least the driving data related to the turning of the straddled vehicle and self-reported information that is information related to the turning of the straddled vehicle self-reported by the rider, and a data output process that outputs output data in which at least advice information related to turning that is highly relevant to the self-reported information related to turning, from a plurality of pieces of advice information related to turning that correspond to at least a part of the driving data related to turning, is associated with the self-reported information related to turning.

[0023] This configuration provides the same effects as the straddled vehicle data processing device of the above configuration (1). That is, this straddled vehicle data processing method uses a different technique from the straddled vehicle data processing method of Patent Document 1 to ensure the functionality of advice information that encourages the rider to improve their driving technique, while improving the degree of freedom in designing hardware resources.

[0024] In the present invention and the embodiments, a straddled vehicle generally refers to a vehicle on which a rider (driver) sits astride a saddle. A straddled vehicle may or may not have wheels. A straddled vehicle travels on a road surface. In this specification, a road surface includes ground, snow, and water. The ground may be a paved surface or a soiled surface. In the present invention and the embodiments, a straddled vehicle may or may not have a power source (drive source) that generates power for traveling. The power source may be, for example, an electric motor, an engine, or both an electric motor and an engine. In the present invention and the embodiments, a straddled vehicle may be a lean vehicle having a body frame that leans to the right relative to the vertical direction of the vehicle when turning right and to the left relative to the vertical direction of the vehicle when turning left. In the present invention and the embodiments, a straddled vehicle does not have to be a lean vehicle. Turning of a straddled vehicle refers to the movement of the straddled vehicle as it travels while changing its direction of travel in a curved line.

[0025] In the present invention and its embodiments, the straddled vehicle data processing device may be used, for example, to train straddled vehicle riders on their driving skills. The straddled vehicle data processing device does not have to be a device mounted on the straddled vehicle. The straddled vehicle data processing device can output advice information on the driving skills of multiple riders. In the present invention and its embodiments, the straddled vehicle data processing device may be configured as a single device, or may be configured as multiple devices configured to be able to communicate data with each other. In the present invention and its embodiments, the straddled vehicle data processing device may or may not have the same configuration as the straddled vehicle data processing device described in Patent Document 1.

[0026] In the present invention and embodiments, the processor includes a central processing unit (CPU), a graphics processing unit (GPU), a microprocessor, a multiprocessor, an application specific integrated circuit (ASIC), a programmable logic circuit (PLC), a field programmable gate array (FPGA), and any other circuit capable of performing the processes described herein. In the present invention and embodiments, the straddled vehicle data processing device has a processor and a non-transitory recording medium. The non-transitory recording medium stores a program that causes the processor to perform at least the processes described herein.

[0027] In the present invention and the embodiments, acquiring traveling data in the data acquisition process may mean acquiring traveling data from a device external to the straddled vehicle data processing device, or generating and acquiring traveling data based on data acquired from a device external to the straddled vehicle data processing device. The definition of acquiring data or information other than traveling data in the data acquisition process is the same as above.

[0028] In the present invention and the embodiments, outputting output data in the data output process may mean outputting the output data to a device external to the straddled vehicle data processing device. The output data may be output to, for example, a terminal device or display device that displays the output data, or to a printing device that prints the output data. The terminal device may be, for example, a terminal device owned by the rider, or a terminal device owned by an instructor who teaches the rider driving techniques. The terminal device may also be, for example, a mobile terminal, tablet terminal, or personal computer with a display unit.

[0029] In the present invention and embodiments, output data in which advice information and self-reported information are at least associated may be data that includes at least advice information and self-reported information. In the output data, the advice information and self-reported information may be associated so as to be displayed or printed on one or more associated display screens or sheets. The same applies to the definition of output data in which advice information, self-reported information, and other data or information are at least associated.

[0030] In the present invention and embodiments, traveling data related to the turning of the straddled vehicle includes traveling data during a series of movements related to the turning of the straddled vehicle. In this specification, the series of movements related to the turning includes at least a turning movement. In this specification, the series of movements related to the turning may include a turning movement and a movement when traveling straight just before the start of the turning movement. In this specification, the series of movements related to the turning may include a turning movement, a movement when traveling straight just before the start of the turning movement, and a movement when traveling straight just after the end of the turning movement. The driving data relating to turning may include data relating to at least one of the following during a series of movements relating to turning: straddled vehicle speed (velocity in the forward direction of the vehicle), straddled vehicle acceleration in the forward direction of the vehicle, straddled vehicle jerk in the forward direction of the vehicle, straddled vehicle lateral speed, straddled vehicle lateral acceleration, straddled vehicle lateral jerk, rotational velocity of the straddled vehicle about an axis along the vertical direction of the vehicle, rotational acceleration of the straddled vehicle about an axis along the vertical direction of the vehicle, rotational jerk about an axis along the vertical direction of the straddled vehicle, tilt angle of the straddled vehicle body frame in the lateral direction of the vehicle relative to the vertical direction of the vehicle, tilt angular velocity which is the rate of change of this tilt angle over time, tilt angular acceleration which is the rate of change of this tilt angular velocity over time, driving trajectory of the straddled vehicle, and attitude of at least one of the straddled vehicle and the rider. The attitude of the straddled vehicle is the attitude of the straddled vehicle relative to the road surface on which it is traveling. The rider's posture refers to at least one of the rider's posture relative to the road surface on which the straddled vehicle on which the rider is riding is traveling, and the rider's posture relative to the straddled vehicle on which the rider is riding.In the present invention and embodiments, the traveling data related to a turn may include data related to the maximum vehicle speed, the minimum vehicle speed, the maximum positive acceleration in the vehicle forward direction, the minimum negative acceleration in the vehicle forward direction, the maximum vehicle lateral speed, the maximum vehicle lateral acceleration, the maximum rotational velocity around an axis along the vehicle vertical direction, the maximum rotational acceleration around an axis along the vehicle vertical direction, the maximum tilt angle, the maximum tilt angular velocity, the maximum centrifugal force acting on the straddled vehicle, the maximum inertial force acting on the straddled vehicle in the vehicle lateral direction, and the maximum lateral force acting on a wheel of the straddled vehicle during a series of movements related to a turn. In the present invention and embodiments, the traveling data related to a turn may include data related to multiple turns. In the present invention and embodiments, the traveling data related to a turn may include data generated using at least a Global Navigation Satellite System (GNSS). The traveling data related to a turn may include data generated using a sensor mounted on the straddled vehicle. The driving data relating to turning may include data generated using a camera.

[0031] In the present invention and its embodiments, the self-reported information regarding the turning of the straddled vehicle reported by the rider may be information regarding at least one of the rider's desired, weak, and desired improvement aspects regarding the driving technique for turning the straddled vehicle, as reported by the rider. The self-reported information may include at least one of verbal information verbalizing at least one image of the rider's desired, weak, and desired improvement aspects regarding the driving technique for turning the straddled vehicle, and image information representing at least one of the above images. The image information here may be, for example, a photograph, a diagram, a graph, or the like. In the present invention and its embodiments, the self-reported information may include information regarding a plurality of events regarding the turning of the straddled vehicle. The information regarding the plurality of events may be, for example, information regarding a plurality of events occurring at different times in a series of actions regarding the turning. The information regarding the plurality of events may be information regarding different physical quantities, such as vehicle speed and lean angle. The information regarding the plurality of events is not limited to these examples.

[0032] In the present invention and its embodiments, the advice information regarding turning may be information regarding, for example, training items, training order, challenges, areas for improvement, goals, etc. The advice information regarding turning may be linguistic information alone, or a combination of linguistic information and image information. The goals included in the advice information are different from what the rider wants included in the self-reported information. The advice information that is output is different from the self-reported information. If the self-reported information includes information about what the rider wants and the advice information that is output includes information about goals, the information about what the rider wants in the self-reported information is different from the information about goals in the advice information that is output. If the self-reported information includes information about what the rider is not good at or what he wants to improve and the advice information that is output includes information about challenges or areas for improvement, the information about the rider's not good at or what he wants to improve in the self-reported information is different from the information about challenges or areas for improvement in the advice information that is output.

[0033] In the present invention and embodiments, among the plurality of pieces of advice information related to turning that correspond to at least a portion of the driving data related to turning, the advice information related to turning that is highly relevant to the self-reported information related to turning is advice information determined from at least a portion of the driving data related to turning and the self-reported information related to turning. In the present invention and embodiments, among the plurality of pieces of advice information related to turning that correspond to at least a portion of the driving data related to turning, the advice information related to turning that is highly relevant to the self-reported information related to turning may be either of the following two examples of advice information. The advice information in the first example is advice information related to turning that is highly relevant to the self-reported information related to turning, extracted from the plurality of advice information related to turning that corresponds to at least a portion of the driving data related to turning. The advice information in the second example is advice information related to turning that is extracted from the plurality of advice information related to turning that is highly relevant to the self-reported information related to turning, in accordance with at least a portion of the driving data related to turning. In the second example, the plurality of pieces of advice information output in a plurality of cases where the acquired driving data related to turning is the same but the acquired self-reported information related to turning is different corresponds to "plurality of advice information related to turning that corresponds to at least a portion of the driving data related to turning." In the description of the advice information in the first example above, "plural pieces of advice information regarding turning that correspond to at least a portion of the driving data regarding turning" may be plural pieces of advice information extracted from a large number of pieces of advice information regarding turning stored in a non-transitory storage medium possessed by the straddled vehicle data processing device in accordance with at least a portion of the driving data regarding turning, or may be plural pieces of advice information generated in accordance with at least a portion of the driving data regarding turning.In the description of the advice information in the second example above, the "plurality of pieces of advice information about turning that are highly relevant to the self-reported information about turning" may be a plurality of pieces of advice information about turning that are highly relevant to the self-reported information about turning and that are extracted from a large number of pieces of advice information about turning stored in a non-transitory storage medium possessed by the straddled vehicle data processing device, or a plurality of pieces of advice information about turning that are highly relevant to the self-reported information about turning and that are generated based on the self-reported information about turning. In the present invention and embodiments, among the plurality of pieces of advice information about turning that correspond to at least a portion of the traveling data about turning acquired in the data acquisition process, the advice information about turning that is highly relevant to the self-reported information about turning may be acquired using, for example, at least one of the following five types of trained models. Here, an example will be described in which the advice information about turning that is highly relevant to the self-reported information about turning is acquired from the plurality of pieces of advice information about turning that correspond to the traveling data about turning acquired in the data acquisition process. The first trained model receives as input driving data related to turning and self-reported information related to turning, and outputs, from among a plurality of pieces of advice information related to turning that correspond to the driving data related to turning, advice information related to turning that is highly relevant to the self-reported information related to turning. The first trained model may output the advice information of the first example described above, or may output the advice information of the second example described above. To acquire the advice information of the first example described above, at least one of the following second trained model and third trained model may be used instead of the first trained model. The second trained model receives as input driving data related to turning, and outputs a plurality of pieces of advice information related to turning that correspond to the driving data related to turning. The third trained model receives as input a plurality of pieces of advice information related to turning that correspond to the driving data related to turning and self-reported information related to turning, and outputs advice information related to turning that is highly relevant to the self-reported information related to turning, extracted from the plurality of pieces of advice information related to turning that correspond to the driving data related to turning.To acquire the advice information of the second example described above, at least one of the following fourth trained model and fifth trained model may be used instead of the first trained model. The fourth trained model receives self-reported information about turning as input and outputs a plurality of pieces of advice information about turning that are highly relevant to the self-reported information about turning. The fifth trained model receives a plurality of pieces of advice information about turning that are highly relevant to the self-reported information about turning and driving data about turning as input and outputs advice information about turning extracted in accordance with the driving data about turning from the plurality of pieces of advice information about turning that are highly relevant to the self-reported information about turning. When acquiring advice information about turning that is highly relevant to the self-reported information about turning from the plurality of pieces of advice information about turning that are based on at least a portion of the driving data about turning acquired in the data acquisition process, it is sufficient to replace "driving data about turning" in the input or output of the first, second, third, and fifth trained models described above.

[0034] Whether the output advice information is advice information about turning that is highly relevant to the self-reported information about turning, among multiple pieces of advice information about turning that correspond to the driving data about turning, can be estimated, for example, by the following method: The straddled vehicle data processing device acquires the same driving data and the self-reported information modified in several variations as information for different riders, and the output advice information is compared. Also, the straddled vehicle data processing device acquires the same self-reported information and the driving data modified in several variations as information for different riders, and the output advice information is compared. For example, if the same advice information is output when the self-reported information is slightly different, and different advice information is output when the self-reported information is significantly different, and the same advice information is output when the driving data is slightly different, and different advice information is output when the driving data is significantly different, it can be estimated that the output advice information is the above-mentioned advice information.

[0035] In the present invention and the embodiments, the data acquisition process may acquire multiple pieces of self-reported information about turning that are self-reported by the rider at different times. The multiple pieces of self-reported information about turning that are self-reported by the rider at different times may be, for example, self-reported information that the rider self-reported before and after a certain driving training session.

[0036] In the present invention and embodiments, the data acquisition process may acquire pre-training travel data related to the turning of the straddled vehicle before a predetermined driving training session, and post-training travel data related to the turning of the straddled vehicle after the predetermined driving training session. Driving training other than the predetermined driving training session may or may not have been conducted before the travel of the pre-training travel data. Driving training other than the predetermined driving training session may or may not have been conducted after the travel of the post-training travel data. When the pre-training travel data and the post-training travel data are acquired, the data output process may output output data in which advice information related to turning that is highly relevant to self-reported information related to turning, among a plurality of pieces of advice information related to turning that are based on at least a portion of at least one of the pre-training travel data and the post-training travel data, is associated with at least the self-reported information related to turning, at least a portion of the pre-training travel data related to turning, and at least a portion of the post-training travel data related to turning. In other words, the output advice information may be advice information determined based on at least a portion of at least one of the pre-training travel data and the post-training travel data, and the self-reported information related to turning. When the advice information to be output is advice information determined based on at least a portion of the pre-training driving data and self-reported information, rather than based on the post-training driving data, this self-reported information may be information self-reported by the rider before the specified driving training.When the advice information to be output is advice information determined based on at least a portion of the post-training driving data and self-reported information, rather than based on the pre-training driving data, this self-reported information may be information self-reported by the rider after the specified driving training.When the advice information to be output is advice information determined based on at least a portion of the pre-training driving data, at least a portion of the post-training driving data, and self-reported information, this self-reported information may be information self-reported by the rider both before and after the specified driving training, or may be information self-reported by the rider before the specified driving training, or may be information self-reported by the rider after the specified driving training.

[0037] In the present invention and embodiments, the output data may include advice information determined based on at least a portion of the driving data related to turning and the self-reported information related to turning, as well as advice information determined based on the self-reported information related to turning self-reported by the rider, without relying on the driving data related to turning. For example, in a case where the data acquisition process acquires pre-training driving data related to the turning of the straddled vehicle before a predetermined driving training session and post-training driving data related to the turning of the straddled vehicle after the predetermined driving training session, and the output data includes advice information determined based on the pre-training driving data and the self-reported information related to turning self-reported by the rider before the predetermined driving training session, the output data may also include advice information determined based on the self-reported information related to turning self-reported by the rider after the predetermined driving training session, without relying on the post-training driving data. Conversely to this example, when the output data includes advice information determined based on post-training driving data and self-reported information regarding turning that the rider self-reported after the specified driving training, the output data may also include advice information determined based on self-reported information regarding turning that the rider self-reported before the specified driving training, rather than based on pre-training driving data.

[0038] In the present invention and the embodiments, the perceived growth degree information indicating the degree of growth in the driving technique related to turning that is set by the rider based on the rider's bodily sensation may be, for example, information indicating the degree of achievement of a goal set by the rider. The perceived growth degree information may also be information indicating a transition in the degree of achievement of a goal set by the rider.

[0039] In the present invention and its embodiments, the support system that derives self-reported information by exchanging information with the rider via a terminal device may be, for example, a system called a chatbot. The chatbot may be a scenario-type chatbot or an AI (artificial intelligence) chatbot. The support system does not have to be included in the straddled vehicle data processing device. When the self-reported information is information obtained from the support system, the self-reported information may be information obtained directly by the straddled vehicle data processing device from the support system, or information obtained by the straddled vehicle data processing device from the support system via another device.

[0040] In this specification, the "forward direction of the vehicle" refers to the direction in which an upright straddled vehicle travels straight on a horizontal plane. In this specification, the "left-right direction of the vehicle" refers to the direction perpendicular to the forward direction of the vehicle, as seen from the perspective of a rider riding the straddled vehicle. In this specification, the "up-down direction of the vehicle" refers to the direction perpendicular to the horizontal plane when the straddled vehicle is placed on a horizontal plane.

[0041] In the present invention and embodiments, the words including, comprising, having, and their derivatives are used herein to encompass additional items in addition to the listed items and equivalents thereof.

[0042] Unless otherwise defined, all terms (including technical and scientific terms) used herein 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 interpreted to have a meaning consistent with the meaning in the context of the relevant technology and this disclosure, and should not be interpreted in an idealized or overly formal sense.

[0043] In the present invention and this specification, "at least one of multiple options" includes all possible combinations of the multiple options. "At least one of multiple options" may be any one of the multiple options, or all of the multiple options. For example, "at least one of A, B, and C" may be A only, B only, C only, A and B, A and C, B and C, or A, B, and C. "A and / or B" means both A and B, or A and B. In this definition, A and B are not limited to nouns, but may also be verbs.

[0044] In this specification, the term "preferable" is non-exclusive. "Preferable" means "preferably, but not limited to." In this specification, a configuration described as "preferable" at least achieves the above-mentioned effect obtained by the configuration (1) described above. In addition, in this specification, the term "may" is non-exclusive. "may" means "may, but not limited to." In this specification, "may" implicitly includes the possibility that "may not." In this specification, a configuration described as "may" at least achieves the above-mentioned effect obtained by the configuration (1) described above.

[0045] The present invention does not restrict the above-described preferred configurations from being combined with each other, except for combinations that result in inconsistencies. Before describing the 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 components set forth in the following description or illustrated in the drawings. The present invention is also possible in embodiments other than those described below. The present invention is also possible in embodiments that incorporate various modifications of the embodiments described below. Furthermore, the present invention can be implemented by appropriately combining the embodiments and modifications described below.

[0046] The straddled vehicle data processing device and straddled vehicle data processing method of the present invention use a technology different from that of the straddled vehicle data processing device of Patent Document 1, which allows for increased freedom in designing hardware resources while ensuring the functionality of advice information to encourage the development of the rider's driving technique.

[0047] FIG. 1 shows the configuration of a straddled vehicle data processing device according to a first embodiment of the present invention. FIG. 2 shows the configuration of a straddled vehicle data processing device according to a second embodiment of the present invention. FIG. 3 shows the configuration of a straddled vehicle data processing device according to a third embodiment of the present invention. FIG. 4 shows the configuration of a straddled vehicle data processing device according to a fourth embodiment of the present invention. FIG. 5 shows the configuration of a straddled vehicle data processing device according to a fifth embodiment of the present invention. FIG. 6 shows the configuration of a straddled vehicle data processing device according to a sixth embodiment of the present invention. FIG. 7 is a schematic diagram for explaining an example of output data of the sixth embodiment of the present invention.

[0048] <First Embodiment> A straddled vehicle data processing device 1 and straddled vehicle data processing method according to a first embodiment of the present invention will now be described with reference to Figure 1. Figure 1 shows the configuration of the straddled vehicle data processing device 1 of this embodiment and the processing steps of the straddled vehicle data processing method of this embodiment. Figure 1 also shows a motorcycle as an example of a straddled vehicle 10. However, the straddled vehicle 10 of this embodiment is not limited to a motorcycle. Note that second to sixth embodiments, which will be described later, all have the configuration of the first embodiment.

[0049] As shown in FIG. 1 , the straddled vehicle data processing device 1 has a processor 2 and a non-transitory recording medium 3. The processor 2 is configured to execute at least a data acquisition process S1 and a data output process S2. The processor 2 executes the data acquisition process S1 and the data output process S2 by reading a program pre-stored in the non-transitory recording medium 3. The straddled vehicle data processing method of this embodiment includes at least the data acquisition process S1 and the data output process S2. In the data acquisition process S1, at least traveling data 30 related to the turning of the straddled vehicle 10 and self-reported information 40, which is information related to the turning of the straddled vehicle 10 self-reported by the rider R, are acquired. In the data output process S2, output data 20 is output. The output data 20 is data in which at least the self-reported information 40 related to turning and advice information 50 related to turning are associated with each other. The advice information 50 included in the output data 20 is advice information 50 that is highly relevant to the self-reported information 40 related to turning, among a plurality of pieces of advice information related to turning that correspond to at least a portion 30a of the traveling data 30 related to turning. The at least a portion 30a of the traveling data 30 is a portion of the traveling data 30 or the traveling data 30 itself. The output data 20 may be output to, for example, a terminal device (not shown) having a display unit. The output data 20 output to the terminal device having a display unit is displayed on the display unit (not shown) as driving technique information F. FIG. 1 includes an example of the driving technique information F.

[0050] The straddled vehicle data processing device 1 and straddled vehicle data processing method of this embodiment use a technology different from that of the straddled vehicle data processing device of Patent Document 1 to output advice information 50 that has the function of encouraging the rider R to improve his or her driving skills, while improving the design freedom of hardware resources.

[0051] In the first embodiment, the self-reported information 40 may be, for example, information acquired from a support system (not shown) that derives the self-reported information 40 by exchanging information with the rider R via a terminal device into which the rider R can input information. Furthermore, the self-reported information 40 may be, for example, information that the rider R inputs into the terminal device (not shown) and that is transmitted from the terminal device.

[0052] Second Embodiment A straddled vehicle data processing device 1 and a straddled vehicle data processing method according to a second embodiment of the present invention will now be described with reference to FIG.

[0053] In the second embodiment, self-reported information 40 including at least information 41 on a plurality of events related to turning is acquired in the data acquisition process S1. Although the number of the plurality of events is three in Fig. 2 , the number is not limited to three. In the second embodiment, advice information 50 included in output data 20 output in data output process S2 includes at least a plurality of pieces of information 51 that are highly relevant to the information 41 on the plurality of events related to turning included in the self-reported information 40, among a plurality of pieces of advice information related to turning that correspond to at least a portion 30a of traveling data 30 related to turning. Fig. 2 includes an example of driving technique information F when output data 20 of the second embodiment is displayed as driving technique information F on a terminal device (not shown) having a display unit.

[0054] As a modified example of the second embodiment, when self-reported information 40 including at least information 41 of multiple events related to turning is acquired in the data acquisition process S1, the advice information 50 included in the output data 20 output in the data output process S2 may not include multiple pieces of information 51 that are highly relevant to the information 41 of multiple events related to turning included in the self-reported information 40, but may include one piece of information that is highly relevant to the information 41 of multiple events related to turning included in the self-reported information 40.

[0055] Third Embodiment A straddled vehicle data processing device 1 and a straddled vehicle data processing method according to a third embodiment of the present invention will now be described with reference to Fig. 3. The third embodiment may have the configuration of the second embodiment.

[0056] In the third embodiment, the data acquisition process S1 acquires multiple pieces of self-reported information 40 related to turning reported by the rider R at different times. While FIG. 3 shows two pieces of self-reported information 40, the number is not limited to two. In the third embodiment, the data output process S2 outputs output data 20 in which at least multiple pieces of self-reported information 40 related to turning reported by the rider R at different times and multiple pieces of advice information 50 related to turning are associated with each other. The multiple pieces of self-reported information 40 and the multiple pieces of advice information 50 related to turning included in the output data 20 are associated with each other such that, among the multiple pieces of advice information related to turning that correspond to at least a portion 30a of the traveling data 30 related to turning, pieces of advice information 50 related to turning that are highly relevant to the self-reported information 40 related to turning are associated with each piece of self-reported information 40. FIG. 3 includes an example of driving technique information F when the output data 20 of the third embodiment is displayed as driving technique information F on a terminal device (not shown) having a display unit.

[0057] Fourth Embodiment A straddled vehicle data processing device 1 and a straddled vehicle data processing method according to a fourth embodiment of the present invention will now be described with reference to Fig. 4. The fourth embodiment may have the configuration of at least one of the second and third embodiments.

[0058] In the fourth embodiment, data acquisition processing S1 acquires perceived growth information 60 indicating the degree of growth in driving skill related to turning that is set by rider R based on rider R's own experience. In the fourth embodiment, data output processing S2 outputs output data 20 in which at least advice information 50 related to turning, self-reported information 40 related to turning, and perceived growth information 60 related to turning are associated. FIG. 4 includes an example of driving technique information F when the output data 20 of the fourth embodiment is displayed as driving technique information F on a terminal device (not shown) having a display unit. In the example of FIG. 4 , perceived growth information 60 is information indicating a progress in the degree of achievement toward a goal set by the rider, but the perceived growth information 60 is not limited to this.

[0059] Fifth Embodiment A straddled vehicle data processing device 1 and a straddled vehicle data processing method according to a fifth embodiment of the present invention will now be described with reference to Fig. 5. The fifth embodiment may have the configuration of at least one of the second to fourth embodiments.

[0060] In the fifth embodiment, the data output process S2 outputs output data 20 in which advice information 50 related to turning, self-reported information 40 related to turning, and at least a portion 30b of the traveling data 30 related to turning acquired in the data acquisition process S1 are at least associated. The at least a portion 30b of the traveling data 30 included in the output data 20 is a portion of the traveling data 30 or the traveling data 30. The at least a portion 30b of the traveling data 30 included in the output data 20 may be the same as or different from the at least a portion 30a of the traveling data 30 (see FIG. 1 ) used to determine the advice information 50 included in the output data 20.

[0061] FIG. 5 shows an example of driving technique information F when the output data 20 of the fifth embodiment is displayed as driving technique information F on a terminal device (not shown) having a display unit. In the example of FIG. 5 , the driving data 30 includes data from when the straddled vehicle turned five times under a first vehicle speed condition imposed on the rider, which is a constraint on vehicle speed, and data from when the straddled vehicle turned five times under a second vehicle speed condition imposed on the rider that is different from the first vehicle speed condition. The first vehicle speed condition is to reduce forward vehicle acceleration during a turning operation and a straight-ahead operation immediately prior to the turning operation. The second vehicle speed condition is to increase forward vehicle acceleration during a turning operation and a straight-ahead operation immediately prior to the start of the turning operation. In the example of FIG. 5 , at least a portion 30b of the driving data 30 included in the output data 20 includes the following data (1) to (4) for each vehicle speed condition. (1) Minimum vehicle speed for each of five turning movements; (2) Change in vehicle speed over time during a series of movements including five turning movements; (3) A trajectory including two turning movements and the vehicle's lateral acceleration when traveling along this trajectory; and (4) A photograph showing the posture of the straddled vehicle and the rider during one turning movement. In the driving technique information F of FIG. 5 , the display of the trajectory and the vehicle's lateral acceleration are integrated, and the vehicle's lateral acceleration is represented by a color gradation (shade). Note that the driving technique information F of FIG. 5 is merely an example of the driving technique information F of the fifth embodiment. The driving data 30 in the fifth embodiment does not need to include data under different vehicle speed conditions. In other words, the driving data 30 in the fifth embodiment may be data that includes at least the above-described data (1) to (4) under a single vehicle speed condition. Furthermore, in the fifth embodiment, at least a portion 30b of the driving data 30 included in the output data 20 is not limited to the above-described data (1) to (4).

[0062] Sixth Embodiment A straddled vehicle data processing device 1 and a straddled vehicle data processing method according to a sixth embodiment of the present invention will now be described with reference to Figures 6 and 7. The sixth embodiment is an example of the fifth embodiment. The sixth embodiment may have the configuration of at least one of the second to fourth embodiments.

[0063] As shown in FIG. 6 , in the sixth embodiment, a data acquisition process S1 acquires traveling data 30 including at least pre-training traveling data 31 related to the turning of the straddled vehicle 10 before a predetermined driving training and post-training traveling data 32 related to the turning of the straddled vehicle 10 after the predetermined driving training. In the sixth embodiment, a data output process S2 outputs output data 20 that associates at least advice information 50 related to turning, self-reported information 40 related to turning, at least a portion 31b of the pre-training traveling data 31 related to turning, and at least a portion 32b of the post-training traveling data 32 related to turning. The advice information 50 included in the output data 20 is advice information 50 that is highly related to the self-reported information 40 related to turning, among a plurality of pieces of advice information related to turning that correspond to at least a portion of at least one of the pre-training traveling data 31 and the post-training traveling data 32. Here, at least a portion of at least one of the pre-training traveling data 31 and the post-training traveling data 32 corresponds to at least a portion 30a of the traveling data 30 in the first embodiment. Furthermore, at least a portion 31b of the pre-training running data 31 and at least a portion 32b of the post-training running data 32 included in the output data 20 are included in at least a portion 30b of the running data 30 of the fifth embodiment.

[0064] FIG. 7 shows an example of driving technique information F when the output data 20 of the sixth embodiment is displayed as driving technique information F on a terminal device (not shown) having a display unit. In the example of FIG. 7 , at least a portion 31b of the pre-training driving data 31 included in the output data 20 includes the above-described data (1) to (4) for each vehicle speed condition, similar to the example of FIG. 5 . In the example of FIG. 7 , at least a portion 32b of the post-training driving data 32 included in the output data 20 includes the above-described data (1) to (4) for each vehicle speed condition, similar to the example of FIG. 5 . Note that the driving technique information F of FIG. 7 is merely an example of the driving technique information F of the sixth embodiment. The pre-training driving data 31 and the post-training driving data 32 in the sixth embodiment do not need to include data under different vehicle speed conditions. In other words, the pre-training driving data 31 and the post-training driving data 32 in the sixth embodiment may each be data that includes at least the above-described data (1) to (4) under a single vehicle speed condition. Furthermore, in the sixth embodiment, at least a portion 31b of the pre-training running data 31 and at least a portion 32b of the post-training running data 32 included in the output data 20 are not limited to the above-described data (1) to (4).

[0065] 1: Straddled vehicle data processing device, 2: Processor, 3: Non-transitory recording medium, 10: Straddled vehicle, 20: Output data, 30: Traveling data, 30a, 30b: At least a portion of the traveling data, 31: Pre-training traveling data, 31b: At least a portion of the pre-training traveling data, 32: Post-training traveling data, 32b: At least a portion of the post-training traveling data, 40: Self-reported information, 41: Information on multiple events included in the self-reported information, 50: Advice information, 51: Information on multiple events included in the advice information, 60: Perceived growth information, R: Rider, S1: Data acquisition processing, S2: Data output processing

Claims

1. A straddled vehicle data processing device that acquires driving data related to at least the turning of a straddled vehicle, and generates and outputs advice information on the driving technique of a rider of the straddled vehicle based on at least the acquired driving data, characterized in having a processor configured to execute at least the following: a data acquisition process that acquires at least the driving data related to the turning of the straddled vehicle and self-reported information, which is information related to the turning of the straddled vehicle self-reported by the rider; and a data output process that outputs output data in which the advice information related to turning that is highly related to the self-reported information related to turning, among a plurality of advice information related to turning that correspond to at least a part of the driving data related to turning, and the self-reported information related to turning are at least associated.

2. A straddled vehicle data processing device as described in claim 1, characterized in that in the data acquisition process, at least the driving data related to turning and the self-reported information including at least information on a plurality of events related to the turning of the straddled vehicle are acquired.

3. A straddled vehicle data processing device as described in claim 2, characterized in that in the data output process, the output data is output in which the advice information regarding turning, which includes at least a plurality of pieces of information that are highly relevant to the information on the plurality of events regarding turning contained in the self-reported information, among the plurality of pieces of advice information regarding turning that correspond to at least a portion of the driving data regarding turning, is at least associated with the self-reported information regarding turning.

4. A straddled vehicle data processing device as described in any one of claims 1 to 3, characterized in that in the data acquisition process, at least the driving data regarding turning and multiple pieces of self-reported information regarding turning self-reported by the rider at different times are acquired, and in the data output process, the output data is output in which at least the multiple pieces of self-reported information regarding turning self-reported by the rider at different times and the multiple pieces of advice information regarding turning are associated so that, among the multiple pieces of advice information regarding turning that correspond to at least a portion of the driving data regarding turning, the advice information regarding turning that is highly relevant to the self-reported information regarding turning is associated with each piece of self-reported information.

5. A straddled vehicle data processing device as described in any one of claims 1 to 4, characterized in that in the data acquisition process, in addition to the driving data regarding turning and the self-reported information regarding turning, at least perceived growth information indicating the degree of growth in driving skill regarding turning based on the rider's personal experience, as set by the rider, is acquired, and in the data output process, the output data is output in which at least the advice information regarding turning that is highly related to the self-reported information regarding turning, the self-reported information regarding turning, and the perceived growth information regarding turning are associated with each other, among a plurality of advice information regarding turning that correspond to at least a portion of the driving data regarding turning.

6. A straddled vehicle data processing device as described in any one of claims 1 to 5, characterized in that in the data output process, output data is output in which the advice information regarding turning that is highly relevant to the self-reported information regarding turning, among the multiple pieces of advice information regarding turning that correspond to at least a portion of the driving data regarding turning, the self-reported information regarding turning, and at least a portion of the driving data regarding turning acquired in the data acquisition process are at least associated with each other.

7. A straddled vehicle data processing device as described in claim 6, characterized in that in the data acquisition process, the driving data including at least pre-training driving data regarding the turning of the straddled vehicle before a specified driving training and post-training driving data regarding the turning of the straddled vehicle after the specified driving training, and the self-reported information regarding turning are at least acquired, and in the data output process, the output data is output in which the advice information regarding turning that is highly relevant to the self-reported information regarding turning, the self-reported information regarding turning, at least a portion of the pre-training driving data regarding turning, and at least a portion of the post-training driving data regarding turning are at least associated with the advice information among the plurality of advice information regarding turning that correspond to at least a portion of at least one of the pre-training driving data and the post-training driving data.

8. A straddled vehicle data processing device as described in any one of claims 1 to 7, characterized in that the self-reported information regarding turning obtained in the data acquisition process is information obtained from a support system that derives the self-reported information by exchanging information with the rider via a terminal device into which the rider can input information.

9. A straddled vehicle data processing method in a straddled vehicle data processing device, which acquires driving data related to at least the turning of the straddled vehicle, and generates and outputs advice information on the driving technique of a rider of the straddled vehicle based on at least the acquired driving data, the straddled vehicle data processing method comprising at least a data acquisition process which acquires at least the driving data related to the turning of the straddled vehicle and self-reported information which is information related to the turning of the straddled vehicle self-reported by the rider, and a data output process which outputs output data in which at least advice information related to turning that is highly related to the self-reported information related to turning, among a plurality of advice information related to turning that correspond to at least a part of the driving data related to turning, and the self-reported information related to turning are associated with each other.

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