JP7536668B2 - Information processing device and information processing system - Google Patents

Description

The present invention relates to an information processing device and an information processing system.

Conventionally, a technology has been proposed that collects video showing the situation when a driver violates a traffic rule due to driving operations (see, for example, Patent Document 1). The collected video is used, for example, to provide guidance on safe driving to drivers who drive commercial vehicles.

JP 2020-123074 A

However, if all footage of violations were collected, as in conventional technology, there was a risk that the number of videos would become enormous. If the number of videos becomes too large, it would take time for the administrator to extract important footage, leading to problems such as the inability to provide guidance efficiently. This issue is not limited to video, but can occur with any information collected from an in-vehicle device.

The present invention has been made in consideration of the above, and aims to provide an information processing device and an information processing system that can efficiently collect important information in the event of a violation.

In order to solve the above-mentioned problems and achieve the object, the information processing device according to the present invention includes a detection unit, a determination unit, and a collection unit. The detection unit detects violations of traffic rules based on driving information related to vehicle driving and traffic rule information related to traffic rules. When the detection unit detects the violation, the determination unit determines whether or not violation information related to the content of the violation satisfies a predetermined collection condition. When the determination unit determines that the violation information satisfies the predetermined collection condition, the collection unit collects detection information detected by equipment of the vehicle.

The present invention makes it possible to efficiently collect important information at the time of a violation.

FIG. 1 is a diagram illustrating an example of the operation of an information processing system according to an embodiment. FIG. 2 is a block diagram illustrating an example of a functional configuration of the information processing device according to the embodiment. FIG. 3 is a diagram illustrating an example of the driver information. FIG. 4 is a flowchart showing the procedure of the process executed by the information processing apparatus according to the embodiment.

Below, embodiments of the information processing device and information processing system disclosed in the present application will be described in detail with reference to the attached drawings. Note that the present invention is not limited to the embodiments described below.

First, an information processing system according to an embodiment will be described with reference to FIG. 1. FIG. 1 is a diagram showing an example of the operation of the information processing system according to an embodiment. As shown in FIG. 1, the information processing system S according to an embodiment includes an information processing device 1, an in-vehicle device 10, and a terminal device 100.

The vehicle-mounted device 10 is, for example, a drive recorder, and stores image information (an example of detected information) captured around the vehicle C, and transmits the image information to the information processing device 1. Note that the detected information is not limited to image information, and may be any information detected by equipment (sensors, various control devices, etc.) mounted on the vehicle C.

The vehicle-mounted device 10 also acquires driving information related to the driving of the vehicle C and transmits it to the information processing device 1. The driving information is, for example, information detected by various sensors provided in the vehicle C. For example, the driving information includes the position information of the vehicle C, vehicle speed information, acceleration information, steering information, etc.

The terminal device 100 is, for example, a terminal used by an administrator who manages the vehicle C, and is, for example, a notebook PC (Personal Computer), a desktop PC, a tablet terminal, or a PDA (Personal Digital Assistant). The terminal device 100 has a function for viewing the detection information collected by the information processing device 1 and a function for analyzing the detection information.

The information processing device 1 is configured as a cloud server that provides cloud services via a network such as the Internet or a mobile phone network. Here, an overview of the processing of the information processing device 1 will be described with reference to FIG. 1.

Specifically, as shown in FIG. 1, first, the information processing device 1 acquires driving information from each vehicle C, and detects violations of traffic rules based on the driving information and traffic rule information related to traffic rules (step S1). Here, the traffic rules are traffic rules defined by the Road Traffic Act, such as stop signs, speed restrictions, no parking or stopping, one-way streets, etc.

Next, when a violation is detected, the information processing device 1 determines whether or not the violation information regarding the details of the violation satisfies a predetermined collection condition (step S2). The violation information includes, for example, driver information of the driver driving the violating vehicle C, the type of violation, the area in which the violation occurred, detailed information on the violation, etc. The driver information includes, for example, the driver's past violation history, a safe driving score (described below), etc. The detailed information includes information on the degree of the violation (for example, how much the speed exceeded the limit, etc.).

Then, when the information processing device 1 determines that the violation information satisfies the predetermined collection condition, it collects the detection information detected by the device of the vehicle C (the on-board device 10) (step S3).

In other words, the information processing device 1 according to the embodiment extracts only those violations that have occurred whose violation information satisfies the collection conditions and collects the detection information. In other words, rather than collecting the detection information of all violations, the collection conditions can be set so that detection information that is important to the administrator, etc. can be collected. In other words, the information processing device 1 according to the embodiment can efficiently collect important information at the time of a violation.

Next, an example of the functional configuration of the information processing device 1 according to the embodiment will be described with reference to FIG. 2. FIG. 2 is a block diagram showing an example of the functional configuration of the information processing device 1 according to the embodiment. As shown in FIG. 2, the information processing device 1 includes a communication unit 2, a control unit 3, and a storage unit 4.

Here, the information processing device 1 includes, for example, a computer having a CPU (Central Processing Unit), ROM (Read Only Memory), RAM (Random Access Memory), flash memory, input/output ports, etc., and various other circuits.

The computer's CPU functions as the acquisition unit 31, detection unit 32, determination unit 33, collection unit 34, and provision unit 35 of the control unit 3, for example, by reading and executing a program stored in the ROM.

In addition, at least one or all of the acquisition unit 31, detection unit 32, determination unit 33, collection unit 34, and provision unit 35 of the control unit 3 can be configured with hardware such as an ASIC (Application Specific Integrated Circuit) or an FPGA (Field Programmable Gate Array).

The storage unit 4 corresponds to a RAM or a flash memory. The RAM or the flash memory can store traffic rule information 41, driver information 42, video information 43, information on various programs, etc. The information processing device 1 may also acquire the above-mentioned programs and various information via other computers or portable recording media connected via a wired or wireless network.

The traffic rule information 41 is, for example, information on traffic rules established by the Road Traffic Act. Note that the traffic rule information 41 may also be information on traffic rules established independently by an administrator who manages the vehicle C as a commercial vehicle.

Driver information 42 is information about the driver who drives vehicle C. Figure 3 is a diagram showing an example of driver information 42. As shown in Figure 3, driver information 42 includes a "driver ID," a "number of violations," a "safe driving score," and a "designated flag."

"Driver ID" is information that identifies the driver. "Number of violations" indicates, for example, the number of violations that the driver has committed in the most recent specified period (for example, one month). The number of violations may be, for example, the total number of violations committed so far, or the average number of violations in a specified period. "Safe driving score" is information that scores the driver's safe driving technique. The safe driving score can be calculated based on the driver's past driving operations, and can be calculated based on information such as sudden acceleration and deceleration, swaying while driving, and distance between vehicles. In the example shown in FIG. 3, the higher the safe driving score, the higher the safe driving technique. "Designation flag" is information that indicates whether the driver is designated in advance by an administrator or the like. The designation flag "1" indicates that the driver is designated in advance by the administrator.

Video information 43 is an example of detection information, and is information about video captured by the vehicle-mounted device 10 functioning as a drive recorder. Note that video information 43 may be categorized according to certain conditions, such as for each driver or each vehicle.

Next, each function of the control unit 3 (acquisition unit 31, detection unit 32, determination unit 33, collection unit 34, and provision unit 35) will be described in detail.

The acquisition unit 31 acquires various types of information. For example, the acquisition unit 31 acquires driving information related to the driving of the vehicle C. The driving information includes the position information of the vehicle C, vehicle speed information, acceleration information, steering information, traveling direction information, etc.

In addition, among the driving information, vehicle speed information, acceleration information, steering information, and traveling direction information may be calculated based on changes in position information.

The detection unit 32 detects violations of traffic rules based on the driving information and the traffic rule information 41. Specifically, the detection unit 32 reads out the traffic rule corresponding to the position information of the vehicle C from the traffic rule information 41. The detection unit 32 then compares the acquired driving information with the read out traffic rule to detect whether the vehicle C has violated a traffic rule.

For example, if there is a traffic rule requiring a stop on the route of the position information, the detection unit 32 determines whether the vehicle C has stopped temporarily based on the vehicle speed and traveling direction at the stop position. In addition, the detection unit 32 detects whether the vehicle C has exceeded the speed limit of the lane on which it is traveling based on the vehicle speed information of the vehicle C.

When the detection unit 32 detects a violation by the vehicle C, it updates the number of violations in the driver information 42 and notifies the determination unit 33 that a violation has been detected. Note that, hereinafter, the vehicle C that detected the violation may be referred to as the violating vehicle.

When a violation is detected by the detection unit 32, the determination unit 33 determines whether or not the violation information regarding the details of the violation satisfies a predetermined collection condition. As described above, the violation information includes, for example, driver information of the vehicle C that committed the violation, the type of violation, the area where the violation occurred, detailed information about the violation, etc.

For example, the determination unit 33 determines whether the past violation history of the driver of the violating vehicle satisfies the collection condition. Specifically, the determination unit 33 determines that the collection condition is met when the number of past violations of the driver of the violating vehicle is equal to or greater than a predetermined threshold. This makes it possible to collect detection information of drivers who have frequently committed violations in the past and use it for guidance, etc., for example.

The determination unit 33 also determines whether the safe driving score satisfies the collection condition. Specifically, the determination unit 33 determines that the collection condition is met when the safe driving score of the driver of the violating vehicle is less than a predetermined threshold. This allows the detection information of drivers with low safe driving skills to be collected and used for guidance, etc.

The determination unit 33 also determines that the collection condition is met if the driver of the violating vehicle is a pre-designated driver (designation flag "1" in the driver information 42). The determination unit 33 also determines that the collection condition is met if the violated traffic rule (type of violation) is a pre-designated traffic rule.

The determination unit 33 also determines whether the degree of the violation satisfies the collection condition. For example, the determination unit 33 determines that the collection condition is met when the degree of the violation is equal to or greater than a predetermined threshold. Specifically, in the case of a speeding violation, the determination unit 33 determines that the collection condition is met when the vehicle speed exceeds the speed limit by a predetermined speed threshold or more. This makes it possible to collect detection information on drivers who have committed serious violations that are likely to lead to accidents and use it for guidance, etc.

Furthermore, the determination unit 33 determines that the collection condition is met if the area in which the violation occurred is a pre-specified area. The determination unit 33 also determines that the collection condition is met if the frequency or number of violations in the area in which the violation occurred is equal to or greater than a predetermined threshold. In other words, the determination unit 33 determines whether the past violation situation in the area in which the violation occurred satisfies the collection condition. This makes it possible to collect detection information, for example, when a violation occurs in an area where violations occur frequently.

The determination unit 33 may combine various collection conditions. For example, the determination unit 33 may determine that the collection conditions are met when the driver's safe driving score is less than a predetermined threshold and the frequency of violations in the area where the violations occur is equal to or greater than a predetermined threshold.

The determination unit 33 may also set the collection conditions individually according to the driver's violation characteristics. The violation characteristics are, for example, information on traffic rules that the driver frequently violates, information on the severity of the violation, etc. For example, the determination unit 33 may set the above-mentioned thresholds in the collection conditions for each driver. This enables the determination process to be tailored to the driver's violation characteristics, and allows the downstream collection unit 34 to collect important information for each driver with high accuracy.

When the determination unit 33 determines that the violation information satisfies the collection condition, the collection unit 34 collects the detection information detected by the vehicle-mounted device 10. For example, the collection unit 34 collects the detection information by requesting the vehicle C, whose violation information has been determined to satisfy the collection condition, to transmit the detection information.

Alternatively, the collection unit 34 may collect all detection information from the vehicle-mounted device 10, and store the detection information (e.g., video information 43) in the memory unit 4 only when the collection conditions are met.

For example, when a request to view the detection information is made via the terminal device 100, the providing unit 35 provides the specified detection information to the terminal device 100. Furthermore, when a request to analyze the specified detection information is made via the terminal device 100, the providing unit 35 analyzes the detection information and provides the analysis results to the terminal device 100. Note that the analysis process of the detection information may include, for example, a process of scoring the degree of violation based on the violation information.

Next, the processing procedure executed by the information processing device 1 according to the embodiment will be described with reference to FIG. 4. FIG. 4 is a flowchart showing the processing procedure executed by the information processing device 1 according to the embodiment.

As shown in FIG. 4, first, the acquisition unit 31 acquires driving information related to the driving of vehicle C (step S101).

Next, the detection unit 32 detects violations of traffic rules based on the traffic rule information 41 and driving information read from the memory unit 4 (step S102).

Next, if a violation is detected by the detection unit 32 (step S102: Yes), the determination unit 33 determines whether or not the violation information indicating the details of the violation satisfies a predetermined collection condition (step S103).

If the violation information satisfies the predetermined collection condition (step S103: Yes), the collection unit 34 collects the detection information detected by the onboard device 10 of the violating vehicle (step S104) and ends the process.

On the other hand, in step S102, if no violation is detected (step S102: No), the detection unit 32 ends the process without collecting detection information.

In addition, in step S103, if the violation information does not satisfy the collection condition (step S103: No), the determination unit 33 ends the process without collecting detection information.

As described above, the information processing device 1 according to the embodiment includes a detection unit 32, a determination unit 33, and a collection unit 34. The detection unit 32 detects violations of traffic rules based on driving information related to the driving of the vehicle C and traffic rule information 41 related to traffic rules. When a violation is detected by the detection unit 32, the determination unit 33 determines whether or not violation information related to the content of the violation satisfies a predetermined collection condition. When the determination unit 33 determines that the violation information satisfies the predetermined collection condition, the collection unit 34 collects detection information detected by the device of the vehicle C (the on-board device 10). This makes it possible to efficiently collect important information at the time of a violation.

Further advantages and modifications may readily occur to those skilled in the art. Therefore, the invention in its broader aspects is not limited to the specific details and representative embodiments shown and described above. Accordingly, various modifications may be made without departing from the spirit or scope of the general inventive concept as defined by the appended claims and equivalents thereof.

Reference Signs List 1 Information processing device 2 Communication unit 3 Control unit 4 Storage unit 10 Vehicle-mounted device 31 Acquisition unit 32 Detection unit 33 Determination unit 34 Collection unit 35 Provision unit 41 Traffic regulation information 42 Driver information 43 Video information 100 Terminal device C Vehicle S Information processing system

Claims (4)

An information processing device having a control unit for collecting information from a vehicle,
The control unit is
Detecting violations of traffic rules based on driving information collected from the vehicle;
When the violation is detected, if the safe driving technique score calculated based on the driver's past driving operations is less than a threshold and the frequency of violations in the area where the violations occur is equal to or greater than a threshold, a request is made to the vehicle to transmit image information.
Information processing device. The control unit is
Based on the detailed information on the degree of the violation, if the degree of the violation is equal to or greater than a threshold, a request is made to the vehicle to transmit image information.
The information processing device according to claim 1 . The control unit is
The information processing device according to claim 1 , wherein a condition for determining whether or not to request the vehicle to transmit the image information is set according to a violation characteristic of a driver of the vehicle. An information processing device according to any one of claims 1 to 3 ;
and an in-vehicle device that transmits the image information to the information processing device.

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