JP7109586B2 - Information processing device and information processing method - Google Patents

Description

TECHNICAL FIELD The present invention relates to an information processing apparatus and an information processing method for transmitting vehicle information to a cloud in a cloud cooperation service in which a vehicle and the cloud cooperate to provide a service to a driver.

A cloud cooperation service is realized in which a vehicle and the cloud cooperate to provide a service to a driver. For example, when sudden braking is detected while the vehicle is running, an image of the front of the vehicle is sent to the cloud along with the location information of the point where the sudden braking was detected. Based on the location information and images collected from multiple vehicles, the cloud determines where vehicle accidents are likely to occur. Then, the cloud notifies the driver of each vehicle of information on places where accidents are likely to occur. Other cloud-linked services include, for example, a service that provides road congestion information to the driver, a service that provides the driver with recommended information on restaurants and the like.

In this way, the cloud-linked service works by linking a vehicle-side function that transmits vehicle data to the cloud and a cloud-side function that provides appropriate information to the driver based on data obtained from the vehicle. It is established. When a vehicle uses a plurality of cloud-linked services, each cloud-linked service has a vehicle-side function and a cloud-side function. In this case, it is difficult for the developer of the cloud cooperation service to grasp the processing details of the other cloud cooperation service. Therefore, since the vehicle side of each cloud-linked service collects vehicle data independently and transmits it to the cloud, the processing becomes redundant and the data processing load on the vehicle side increases. be.

Conventionally, there is disclosed a technique for generating execution count data of a common portion consisting of a sequence of instructions in the same execution order described in object code, and performing processing for grouping the common portion for the object code based on the execution count data. (See Patent Document 1, for example).

JP 2007-18254 A

In Japanese Patent Application Laid-Open No. 2002-200012, processing is performed to collect common parts in one object code. By applying this processing to the cloud cooperation service described above, if there is a common part in one cloud cooperation service, the common part can be put together. However, since Patent Literature 1 does not refer to processing for grouping common parts in a plurality of object codes, it cannot be applied to a plurality of cloud cooperation services. Therefore, as described above, there is a problem that the vehicle-side processing of each cloud cooperation service becomes redundant as a whole, and the data processing load on the vehicle side increases.

As described above, conventionally, when a vehicle uses a plurality of cloud cooperation services, the load of data processing on the vehicle side could not be reduced.

SUMMARY OF THE INVENTION The present invention has been made to solve such problems, and it is an object of the present invention to provide an information processing apparatus and an information processing method capable of reducing the load of data processing.

In order to solve the above problems, an information processing apparatus according to the present invention includes an acquisition unit that acquires, from a plurality of service applications, a processing flow composed of a plurality of processing functions ordered for executing each service application. , if there is a common part that performs the same process in order from the beginning in each processing flow acquired by the acquisition unit, the integration unit that integrates the common part, and data based on each processing flow that includes the common part integrated by the integration unit It comprises a data processing execution unit that executes processing, and a transmission unit that transmits the results of data processing executed by the data processing execution unit to each service application. The data processing execution unit executes data processing using data related to vehicle travel , and when the processing flow acquired by the acquisition unit is changed, the integration unit Again, if there is a common portion in which the same processing is performed in order from the top in each processing flow acquired by the acquisition unit, the common portion is integrated .

According to the present invention, the information processing apparatus includes an integration unit that integrates the common portions when there is a common portion that performs the same processing in order from the beginning in each processing flow acquired by the acquisition unit, thereby reducing the data processing load. can be reduced.

Objects, features, aspects and advantages of the present invention will become more apparent from the following detailed description and accompanying drawings.

1 is a block diagram showing an example of the configuration of an information processing device according to an embodiment of the present invention; FIG. 1 is a block diagram showing an example of the configuration of an information processing device according to an embodiment of the present invention; FIG. It is a figure which shows an example of the processing flow by embodiment of this invention. 1 is a block diagram showing an example hardware configuration of an information processing apparatus according to an embodiment of the present invention; FIG. 4 is a flow chart showing an example of the operation of the information processing device according to the embodiment of the present invention; It is a figure which shows an example of the registered processing flow by embodiment of this invention. 4 is a flow chart showing an example of the operation of the information processing device according to the embodiment of the present invention; It is a figure which shows an example of integration of the process flow by embodiment of this invention. It is a figure which shows an example of the processing flow based on the data processing by embodiment of this invention.

An embodiment of the present invention will be described below based on the drawings.

<Embodiment>
<Configuration>
FIG. 1 is a block diagram showing an example of the configuration of an information processing device 1 according to this embodiment. It should be noted that FIG. 1 shows the minimum necessary configuration of the information processing apparatus according to the present embodiment.

As shown in FIG. 1 , the information processing device 1 includes an acquisition unit 2 , an integration unit 3 , a data processing execution unit 4 and a transmission unit 5 . Acquisition unit 2 acquires a processing flow for executing each service application from a plurality of service applications. A service application is software that implements the cloud cooperation service described above.

When each processing flow acquired by the acquisition unit 2 has a common part in which the same process is performed sequentially from the top, the integration unit 3 integrates the common part. The data processing execution unit 4 executes data processing based on each processing flow including common parts integrated by the integration unit 3 . The transmission unit 5 transmits the result of the data processing executed by the data processing execution unit 4 to each service application.

Next, another configuration of the information processing apparatus including the information processing apparatus 1 shown in FIG. 1 will be described.

FIG. 2 is a block diagram showing an example of the configuration of the information processing device 6 according to another configuration.

As shown in FIG. 2 , the information processing device 6 includes an acquisition unit 2 , a processing flow registration unit 7 , an integration unit 3 , a data processing execution unit 4 and a transmission unit 5 . It is assumed that the information processing device 6 is mounted on a vehicle. For example, the information processing device 6 may be included in a navigation device mounted on a vehicle, or the information processing device 6 alone may be mounted on the vehicle.

The acquisition unit 2 acquires from each service application 8 , 9 , 10 a processing flow for executing each service application 8 , 9 , 10 . When the acquisition unit 2 acquires the processing flow from each service application 8, 9, 10, it determines that each service application 8, 9, 10 has issued a processing request. Further, the acquisition unit 2 acquires the processing flow from each service application 8, 9, 10 and acquires the service ID for identifying each service application 8, 9, 10. FIG.

Each service application 8, 9, 10 may be installed, for example, in a navigation device mounted on a vehicle, or may be installed in a device other than the navigation device. In this case, each service application 8, 9, 10 is stored in a memory provided in the navigation device or in a memory provided in a device other than the navigation device.

Here, the processing flow will be described. FIG. 3 shows an example of a processing flow for executing a service application that implements the drive recorder service. The drive recorder service is one of cloud cooperation services.

As shown in FIG. 3, the processing flow consists of the processing functions of "front camera", "acceleration", "synchronization", "sudden braking", "moving image extraction", and "transmission" in order. . Each processing function is composed of software.

A "front camera" is a processing function that acquires an image from a camera that photographs the front of the vehicle. "Acceleration" is a processing function that acquires acceleration data from an acceleration sensor provided in the vehicle. That is, "front camera" and "acceleration" are processing functions that collect data sources such as video and acceleration data. In addition to the "front camera" and "acceleration" processing functions that collect data sources, for example, the "in-vehicle camera", which is a processing function that acquires images from a camera that captures the inside of the vehicle, and the line of sight of the driver, etc. "Line-of-sight coordinates" is a processing function that detects, "LIDAR (Light Detection and Ranging)" is a processing function that uses laser light to detect pedestrians and objects around the vehicle, and millimeter waves are used to detect vehicle ``millimeter wave'', which is a processing function that detects pedestrians and objects in the vicinity of the vehicle.

"Sync" is a processing function that synchronizes multiple data sources. In the example of FIG. 3, the image acquired from the front camera and the acceleration data acquired from the acceleration sensor are synchronized.

"Sudden braking" is a processing function that detects sudden braking of the vehicle based on the acceleration data, and serves as a trigger for transmitting the result of data processing based on the processing flow. In addition to the "sudden braking", processing functions that serve as triggers include, for example, "focus on the line of sight", which is a processing function for detecting that the line of sight of the driver or the like is in a predetermined direction, and sudden acceleration of the vehicle. "rapid acceleration", which is a processing function for detecting , and "periodic", which is a processing function for periodically transmitting data sources.

"Extracting moving images" is a processing function for extracting moving images within a certain period of time from images captured by the camera, and generates information to be transmitted as a result of data processing based on the processing flow. As a processing function for generating information to be transmitted as a result of data processing, in addition to "moving image extraction", for example, "image extraction" for extracting at least one image from a plurality of images, and "map generation" for generating a map. , and “risk information” that generates information about driving risks.

Returning to the description of FIG. 2, the processing flow registration unit 7 has a storage device such as a hard disk or a semiconductor memory (not shown), and registers the processing flow acquired by the acquisition unit 2 in the storage device in association with the service ID. do. When the acquisition unit 2 acquires a new processing flow from a registered service application, the processing flow registration unit 7 overwrites the registered processing flow with the new processing flow.

The integration unit 3 compares the processing flows registered in the processing flow registration unit 7, and if there is a common part in which the same process is performed sequentially from the beginning in each process flow, integrates the common part. Further, the integration unit 3 compares each processing flow and does not perform integration processing for processing flows that do not have a common portion. In this manner, the integration unit 3 executes processing for optimizing each processing flow registered in the processing flow registration unit 7 . Note that the integration unit 3 executes the above process when the processing flow registered in the processing flow registration unit 7 is changed, or when a new processing flow is registered in the processing flow registration unit 7 .

The data processing execution unit 4 executes data processing based on each processing flow including common parts integrated by the integration unit 3 . Specifically, the data processing execution unit 4 uses data acquired from at least one of the camera 11, the sensor 12, the microphone 13, the touch panel 14, and the ECU (Electronic Control Unit) 15 to optimize the data in the integration unit 3. Data processing is executed based on each processing flow. Each optimized process flow includes at least one of the process flow that integrates the common parts described above and the process flow that is not integrated.

The camera 11 is a camera provided in a vehicle, and includes, for example, a camera that captures the front of the vehicle and a camera that captures the interior of the vehicle. The sensor 12 is a sensor provided in the vehicle, such as an acceleration sensor. A microphone 13 collects the voice of the driver or the like. The touch panel 14 receives a user's operation using the touch panel. The ECU 15 collects vehicle-related data such as whether or not an airbag is used, whether or not a seatbelt is worn, tire air pressure, remaining amount of gasoline or electricity, and the like. In addition, the ECU 15 may collect information detected by the sensor 12 .

For example, when the data processing execution unit 4 executes data processing based on the processing flow shown in FIG. Synchronize the two. Then, when the sudden braking of the vehicle is detected based on the acceleration data detected by the sensor 12, a moving image for several seconds before and after the detection of the sudden braking is extracted from the image taken by the camera 11, and the extracted image is transmitted. .

The transmission unit 5 transmits the result of the data processing executed by the data processing execution unit 4 to each service application 8, 9, 10. FIG.

FIG. 4 is a block diagram showing an example of the hardware configuration of the information processing device 6. As shown in FIG.

Each function of the acquisition unit 2, the processing flow registration unit 7, the integration unit 3, the data processing execution unit 4, and the transmission unit 5 in the information processing device 6 is realized by a processing circuit. That is, the information processing device 6 acquires processing flows from a plurality of service applications, registers the acquired processing flows, and if there is a common portion in which the same processing is performed in order from the beginning in each processing flow, integrates the common portion. and a processing circuit for executing data processing based on each processing flow including the integrated common portion and transmitting the result of the data processing to each service application. The processing circuit is a processor 16 (also called a central processing unit, a processing unit, an arithmetic unit, a microprocessor, a microcomputer, or a DSP (Digital Signal Processor)) that executes programs stored in a memory 17 .

Each function of the acquisition unit 2, the processing flow registration unit 7, the integration unit 3, the data processing execution unit 4, and the transmission unit 5 in the information processing device 6 is realized by software, firmware, or a combination of software and firmware. Software or firmware is written as a program and stored in memory 17 . The processing circuit reads out and executes a program stored in the memory 17 to implement the function of each unit. That is, the information processing device 6 performs a step of acquiring processing flows from a plurality of service applications, a step of registering the acquired processing flows, and, if there is a common portion performing the same processing in order from the beginning in each processing flow, the common portion , the step of executing data processing based on each processing flow including the integrated common part, and the step of sending the result of data processing to each service application are stored as a result of executing the program. A memory 17 is provided for It can also be said that these programs cause a computer to execute the procedures or methods of the acquisition unit 2 , the processing flow registration unit 7 , the integration unit 3 , the data processing execution unit 4 and the transmission unit 5 . Here, memory means non-volatile or volatile memories such as RAM (Random Access Memory), ROM (Read Only Memory), flash memory, EPROM (Erasable Programmable Read Only Memory), EEPROM (Electrically Erasable Programmable Read Only Memory). semiconductor memory, magnetic disk, flexible disk, optical disk, compact disk, DVD, etc., or any storage medium that will be used in the future.

<Action>
FIG. 5 is a flow chart showing an example of the operation of the information processing device 6. As shown in FIG.

In step S<b>11 , the acquiring unit 2 determines whether or not the process flow has been acquired from the service applications 8 , 9 , 10 . The acquiring unit 2 repeats the process of step S11 until the process flow is acquired from the service applications 8, 9, and 10, and when the process flow is acquired from the service applications 8, 9, and 10, the process proceeds to step S12. At this time, the acquiring unit 2 also acquires service IDs that identify the respective service applications 8, 9, and 10. FIG. In this embodiment, a case where there are three service applications will be described, but the present invention is not limited to this. Multiple service applications are sufficient.

In step S<b>12 , the processing flow registration unit 7 registers the processing flow acquired by the acquisition unit 2 . In this embodiment, it is assumed that the processing flow registration unit 7 registers the processing flow shown in FIG. In FIG. 6, the service application 8 has a service ID of "a" and a processing flow of "A→B→D". The service application 9 has a service ID of "b" and a processing flow of "A→B→C". The service application 10 has a service ID of "c" and a processing flow of "E→B→D".

In step S<b>13 , the integration unit 3 determines whether or not two or more process flows are registered in the process flow registration unit 7 . If two or more processing flows are registered, the process proceeds to step S14. On the other hand, if two or more process flows are not registered, the process proceeds to step S15.

In step S14, the integration unit 3 optimizes each processing flow.

Here, the details of the processing of the integration unit 3 will be described. FIG. 7 is a flow chart showing an example of the operation of the integrating section 3, and shows the detailed operation of step S14 in FIG.

In step S<b>21 , the integration unit 3 determines whether the processing flow registered in the processing flow registration unit 7 has been changed, or whether a new processing flow has been registered in the processing flow registration unit 7 . If the processing flow registered in the processing flow registration unit 7 has been changed or a new processing flow has been registered in the processing flow registration unit 7, the process proceeds to step S22. On the other hand, if the processing flow registered in the processing flow registration unit 7 has not been changed and no new processing flow has been registered in the processing flow registration unit 7, the operation of FIG. 7 ends.

In step S<b>22 , the integration unit 3 compares each processing flow registered in the processing flow registration unit 7 . In the present embodiment, the three processing flows shown in FIG. 6 are registered in the processing flow registration unit 7, so the three processing flows are compared.

In step S23, the integration unit 3 determines whether or not there is a common part in which the same process is performed sequentially from the beginning in each process flow. If there is a common portion, the process proceeds to step S24. On the other hand, if there is no common portion, the operation of FIG. 7 ends.

In this embodiment, among the three processing flows shown in FIG. 6, each processing flow of service applications 8 and 9 has a common portion. Specifically, as shown in FIG. 8, in the processing flow of service applications 8 and 9, the same processing of "A→B" is performed from the top to the second. Therefore, for each processing flow of the service applications 8 and 9, the processing of step S24 is performed. On the other hand, the processing flow of the service application 10 does not have a common part where the same processing is performed from the beginning as compared with the processing flows of the service applications 8 and 9 . Therefore, the processing flow of the service application 10 ends without performing the processing of step S24.

In step S24, the integration unit 3 integrates the common parts of each processing flow. Specifically, as shown in FIG. 8 , the integration unit 3 integrates “A→B”, which is a common part of each processing flow of the service applications 8 and 9 .

Then, the integration unit 3 distributes the result of the processing of the common portion to the processing after the common portion in each processing flow to be integrated. Specifically, as shown in FIG. 8, the integrating unit 3 converts the result of the integrated common part "A→B" into the common parts in the processing flows of the service applications 8 and 9 to be integrated. It is distributed to subsequent processing, that is, “D” in the processing flow of service application 8 and “C” in the processing flow of service application 9 .

Returning to FIG. 5, in step S15, the data processing execution unit 4 executes data processing according to each processing flow optimized in step S14. Specifically, the data processing execution unit 4 executes processing according to each optimized processing flow shown in FIG. At this time, the data processing execution unit 4 executes processing using data acquired from the camera 11, the sensor 12, the microphone 13, the touch panel 14, and the ECU 15 as necessary.

In step S<b>16 , the transmission unit 5 transmits the result of the data processing executed by the data processing execution unit 4 to each service application 8 , 9 , 10 . For example, the transmission unit 5 transmits to the service application 8 the result of executing data processing according to the processing flow of the service application 8, that is, the result of "D" in the processing flow shown in FIG. At this time, the transmission unit 5 transmits the data processing result to the service application 8 based on the service ID.

Each service application 8, 9, 10 transmits the data processing result obtained from the transmission unit 5 to the cloud outside the vehicle. Then, in the cloud, the data received from each service application 8, 9, 10 is used to perform processing corresponding to each cloud cooperation service, and the processing result is sent to each service application 8, 9, 10 as appropriate. In this way, a cloud cooperation service is realized.

<effect>
Conventionally, the vehicle side of each cloud-linked service collects vehicle data independently and sends it to the cloud, so the overall processing becomes redundant and the data processing load on the vehicle side increases. there were. On the other hand, according to the present embodiment, when there is a common portion in which the same processing is performed in order from the beginning in each processing flow acquired from a plurality of service applications, the information processing device 6 integrates the common portion before data processing. Since the processing is performed, it is possible to reduce the load of data processing.

Conventionally, a service application processes data, so when a service application is changed, it is necessary to recompile the changed service application. On the other hand, according to the present embodiment, the data processing execution unit 4 collectively performs data processing without distinguishing between the service applications 8, 9, and 10 based on the processing flow optimized by the integration unit 3. Running. Therefore, when the service applications 8, 9, and 10 are changed, the data processing execution unit 4 only needs to execute data processing based on the changed processing flow and does not need to be recompiled. Further, the data processing execution unit 4 can dynamically change the data processing even if the service application is changed during execution of the data processing.

Conventionally, service applications have performed data processing, so service application developers had to consider the hardware configuration installed in each vehicle when developing service applications. On the other hand, according to the present embodiment, the data processing execution unit 4 uses vehicle-related data as necessary when executing data processing. That is, the information processing apparatus 6 according to the present embodiment can perform data processing without considering the hardware configuration installed in each vehicle, thereby reducing the burden on service application developers.

In addition, within the scope of the invention, the embodiments can be appropriately modified or omitted.

While the present invention has been described in detail, the foregoing description is, in all its aspects, illustrative and not intended to limit the invention. It is understood that numerous variations not illustrated can be envisioned without departing from the scope of the invention.

1 information processing device 2 acquisition unit 3 integration unit 4 data processing execution unit 5 transmission unit 6 information processing device 7 processing flow registration unit 8, 9, 10 service application 11 camera 12 sensor 13 microphone , 14 touch panel, 15 ECU, 16 processor, 17 memory.

Claims (9)

an acquisition unit for acquiring, from a plurality of service applications, a processing flow composed of a plurality of processing functions ordered for executing each of the service applications;
an integration unit that, if there is a common portion performing the same processing in order from the top in each of the processing flows acquired by the acquisition unit, integrates the common portion;
a data processing execution unit that executes data processing based on each of the processing flows including the common part integrated by the integration unit;
a transmission unit configured to transmit a result of the data processing executed by the data processing execution unit to each of the service applications;
with
The service application is software that realizes a cloud cooperation service in which the vehicle and the cloud cooperate to provide a service to the driver,
The data processing execution unit executes the data processing using data related to travel of the vehicle ,
when the processing flow acquired by the acquisition unit is changed,
The information processing apparatus , wherein the integration unit integrates the common portions when there is a common portion in which the same processing is performed in order from the beginning in each of the processing flows acquired by the acquisition unit. 2. The information processing apparatus according to claim 1, wherein said integration unit distributes a result of processing of said common part to processes subsequent to said common part in each of said process flows to be integrated. . 2. The information processing apparatus according to claim 1, further comprising a processing flow registration unit that registers each of said processing flows acquired by said acquisition unit in association with each of said service applications. The information processing device is mounted on the vehicle,
The information according to claim 1, wherein the data processing execution unit executes the data processing based on each of the processing flows including the common portion integrated by the integration unit and data related to the vehicle. processing equipment. If there is a processing function group that performs the same processing in order from the first processing function in each of the processing flows acquired by the acquisition unit, the integration unit integrates the processing function group as the common part. The information processing apparatus according to claim 1 , wherein When the acquiring unit acquires each of the processing flows different from each other,
If there is a processing function group that performs the same processing in order from the first processing function in each of the processing flows acquired by the acquisition unit, the integration unit integrates the processing function group as the common part. The information processing apparatus according to claim 1 , wherein The information processing apparatus according to claim 1, wherein said cloud cooperation service includes a drive recorder service. The service application has a processing function of acquiring an image from a camera that captures the front of the vehicle, a processing function of acquiring acceleration data from an acceleration sensor provided in the vehicle, a processing function of synchronizing a plurality of data sources, and the acceleration 2. The method according to claim 1, comprising a processing function for detecting sudden braking of the vehicle based on data, a processing function for extracting a moving image within a certain period of time from the image captured by the camera, and a processing function for transmitting the extracted moving image. The information processing device described. obtaining from a plurality of service applications a processing flow composed of a plurality of processing functions ordered to execute each said service application;
If there is a common portion that performs the same processing in order from the top in each of the acquired processing flows, integrate the common portion,
performing data processing based on each of the processing flows including the integrated common portion;
sending results of the data processing performed to each of the service applications;
The service application is software that realizes a cloud cooperation service in which the vehicle and the cloud cooperate to provide a service to the driver,
executing the data processing using data relating to travel of the vehicle ;
When the acquired processing flow is changed,
An information processing method, wherein if there is a common portion in which the same processing is performed in order from the beginning in each of the acquired processing flows, the common portion is integrated .

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