JP2022115445A - Information processor and information processing system - Google Patents

Abstract

To provide an information processor and an information processing system that can efficiently collect important information at the time of violation.SOLUTION: An information processor according to the embodiment includes a detection unit, a determination unit, and a collection unit. The detection unit detects violations of traffic rules based on driving information about vehicle driving and traffic rule information about traffic rules. When the violation is detected by the detection unit, the determination unit determines whether or not the violation information regarding contents of the violation satisfies predetermined collection conditions. The collection unit collects detection information detected by a device mounted on the vehicle when the determination unit determines that the violation information satisfies the predetermined collection conditions.SELECTED DRAWING: Figure 2

Description

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

Conventionally, there has been proposed a technique for collecting an image showing the situation at the time of violation when a driver's driving operation violates a traffic rule (see, for example, Patent Literature 1). The collected images are used, for example, to guide safe driving to drivers of commercial vehicles.

JP 2020-123074 A

However, if all violating videos are collected as in the conventional technology, there is a risk that the number of videos will become enormous. If the number of videos increases, it takes time for the manager to extract important videos, which causes problems such as ineffective instruction. Such a problem can occur not only with video but also with any information collected from on-vehicle devices.

SUMMARY OF THE INVENTION It is an object of the present invention to provide an information processing apparatus and an information processing system capable of efficiently collecting important information at the time of violation.

In order to solve the above-described problems and achieve the object, an information processing apparatus according to the present invention includes a detection section, a determination section, and a collection section. The detection unit detects violation of traffic rules based on travel information about travel of the vehicle and traffic rule information about traffic rules. The judging unit judges whether or not the violation information about the content of the violation satisfies a predetermined collection condition when the violation is detected by the detection unit. The collection unit collects detection information detected by devices of the vehicle when the determination unit determines that the violation information satisfies the predetermined collection condition.

ADVANTAGE OF THE INVENTION According to this invention, important information at the time of violation can be collected efficiently.

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

Hereinafter, embodiments of an information processing apparatus and an information processing system disclosed in the present application will be described in detail with reference to the accompanying drawings. In addition, this invention is not limited by embodiment shown below.

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

The in-vehicle device 10 is, for example, a drive recorder, stores image information (an example of detection information) obtained by imaging the surroundings of the vehicle C, and transmits such image information to the information processing device 1 . Note that the detected information is not limited to image information, and may be arbitrary information detected by devices (sensors, various control devices, etc.) mounted on the vehicle C. FIG.

In addition, the in-vehicle device 10 acquires travel information regarding travel of the vehicle C and transmits the travel information to the information processing device 1 . The travel information is information detected by various sensors provided in the vehicle C, for example. For example, the travel information includes position information of the vehicle C, vehicle speed information, acceleration information, steering information, and the like.

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 of viewing detection information collected by the information processing device 1 and a function of analyzing the detection information.

The information processing device 1 is configured as, for example, 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 apparatus 1 will be described with reference to FIG.

Specifically, as shown in FIG. 1, first, the information processing device 1 acquires travel information from each vehicle C, and detects violations of traffic rules based on the travel information and traffic rule information related to traffic rules. (Step S1). Here, the traffic rules are traffic rules stipulated by the Road Traffic Law, and include, for example, temporary stops, speed restrictions, prohibition of parking and stopping, one-way traffic, and the like.

Subsequently, when a violation is detected, the information processing device 1 determines whether or not the violation information regarding the content of the violation satisfies a predetermined collection condition (step S2). The violation information includes, for example, information about the driver driving the violating vehicle C, the type of violation, the area where the violation occurred, detailed information about the violation, and the like. The driver information includes, for example, the driver's history of past violations, a safe driving score, which will be described later, and the like. The detailed information includes information about the extent of the violation (eg, how much speeding was done, etc.).

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

That is, the information processing apparatus 1 according to the embodiment extracts only violations whose violation information satisfies the collection condition among the violations that have occurred, and collects detection information. In other words, rather than collecting all violating detections, collection conditions can be set to collect detections that are important to administrators and the like. That is, according to the information processing apparatus 1 according to the embodiment, it is possible to efficiently collect important information at the time of violation.

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

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

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

At least one or all of the acquisition unit 31, the detection unit 32, the determination unit 33, the collection unit 34, and the provision unit 35 of the control unit 3 may be implemented by an ASIC (Application Specific Integrated Circuit), an FPGA (Field Programmable Gate Array), or the like. It can also be configured with hardware of

Also, the storage unit 4 corresponds to a RAM or a flash memory. The RAM and flash memory can store traffic regulation information 41, driver information 42, video information 43, various program information, and the like. The information processing apparatus 1 may acquire the above-described 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 stipulated by the Road Traffic Act. The traffic rule information 41 may be, for example, traffic rule information uniquely determined by a manager who manages the vehicle C as a commercial vehicle.

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

"Driver ID" is information for identifying a driver. The "number of violations" indicates, for example, the number of violations that the driver has caused in the most recent predetermined period (for example, one month). Note that the number of violations may be, for example, the total number of violations that have occurred so far, the average number of violations during a predetermined period, or the like. The "safe driving score" is information obtained by scoring the safe driving skills of the driver. 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/deceleration, fluctuation during driving, and inter-vehicle distance. In the example shown in FIG. 3, the higher the safe driving score, the higher the safe driving skill. The "specified flag" is information indicating whether or not the driver is pre-specified by an administrator or the like. The designation flag "1" indicates that the driver has been designated in advance by the administrator.

The video information 43 is an example of detection information, and is information of a video imaged by the vehicle-mounted device 10 functioning as a drive recorder. Note that the image information 43 may be classified according to predetermined 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 travel information about travel of the vehicle C. FIG. The travel information includes position information of the vehicle C, vehicle speed information, acceleration information, steering information, traveling direction information, and the like.

Of the travel 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 traffic rule violations based on the travel information and the traffic rule information 41 . Specifically, the detection unit 32 reads traffic rules corresponding to the position information of the vehicle C from the traffic rule information 41 . Then, the detection unit 32 compares the acquired travel information with the read traffic rules, and detects whether or not the vehicle C has violated the traffic rules.

For example, if there is a traffic rule for a temporary stop on the route of the position information, the detector 32 determines whether the vehicle C has stopped based on the vehicle speed and traveling direction at the temporary stop position. Based on the vehicle speed information of the vehicle C, the detection unit 32 also detects whether or not the vehicle C has exceeded the speed limit of the lane in which it is traveling.

Then, when the violation of the vehicle C is detected, the detection unit 32 updates the number of violations in the driver information 42 and notifies the determination unit 33 of the detection of the violation. In addition, below, the vehicle C which detected violation may be described as a violation vehicle.

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

For example, the determination unit 33 determines whether or not the past violation history of the driver of the violation vehicle satisfies the collection condition. Specifically, the determination unit 33 determines that the collection condition is satisfied when the number of past violations by the driver of the violating vehicle is equal to or greater than a predetermined threshold. As a result, for example, it is possible to collect detection information of drivers who have frequently violated rules in the past and use it for guidance or the like.

Further, the determination unit 33 determines whether or not the safe driving score satisfies the collection condition. Specifically, the determination unit 33 determines that the collection condition is satisfied when the safe driving score of the driver of the violating vehicle is less than a predetermined threshold. As a result, it is possible to collect the detection information of drivers with low safe driving skills and use it for guidance or the like.

Further, the determination unit 33 determines that the collection condition is satisfied when the driver of the violating vehicle is a predesignated driver (designation flag "1" in the driver information 42). Further, the determination unit 33 determines that the collection condition is satisfied when the violated traffic rule (violation type) is a pre-designated traffic rule.

Further, the determination unit 33 determines whether or not the degree of violation satisfies the collection condition. For example, the determination unit 33 determines that the collection condition is satisfied when the degree of violation is equal to or greater than a predetermined threshold. Specifically, the determination unit 33 determines that the collection condition is satisfied when the vehicle speed exceeds the speed limit by a predetermined speed threshold or more in violation due to overspeeding. As a result, it is possible to collect the detection information of a driver who has caused a serious violation that is highly likely to lead to an accident, and use it for guidance or the like.

Further, the determination unit 33 determines that the collection condition is satisfied when the violation occurrence area is a predesignated area. Further, the determination unit 33 determines that the collection condition is satisfied when the frequency or number of occurrences of violations in the violation occurrence area is equal to or greater than a predetermined threshold value. That is, the determination unit 33 determines whether or not the past violation status of the occurrence area satisfies the collection condition. This allows detection information to be collected, for example, when a violation occurs in an area where violations occur frequently.

Note that the determination unit 33 may combine various collection conditions. For example, the determination unit 33 may determine that the collection condition is satisfied when the driver's safe driving score is less than a predetermined threshold and the frequency of violations in the violation occurrence area is equal to or greater than a predetermined threshold.

Further, the determination unit 33 may individually set the collection condition according to the violation characteristics of the driver. Violation characteristics are, for example, information on traffic rules that drivers frequently violate, information on the degree of violation, and the like. For example, the determination unit 33 may set the above threshold in the collection condition for each driver. As a result, it is possible to perform determination processing in accordance with the violation characteristics of the driver, and the collection unit 34 in the subsequent stage can collect important information for each driver with high precision.

The collection unit 34 collects detection information detected by the vehicle-mounted device 10 when the determination unit 33 determines that the violation information satisfies the collection condition. For example, the collection unit 34 collects the detection information by requesting the transmission of the detection information to the vehicle C determined that the violation information satisfies the collection condition.

Alternatively, the collection unit 34 may collect all the detected information from the vehicle-mounted device 10 and store the detected information (for example, the video information 43) in the storage unit 4 only when the collection conditions are satisfied. .

The providing unit 35 provides the designated detection information to the terminal device 100, for example, when there is a request to view the detection information via the terminal device 100. FIG. Further, when an analysis request for the specified detection information is received via the terminal device 100 , the provision unit 35 analyzes the detection information and provides the analysis result to the terminal device 100 . Note that the detection information analysis processing includes, for example, processing for scoring the degree of violation based on the violation information.

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

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

Next, the detection unit 32 detects traffic rule violations based on the traffic rule information 41 and the travel information read from the storage unit 4 (step S102).

Subsequently, when the detection unit 32 detects a violation (step S102: Yes), the determination unit 33 determines whether 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 collecting unit 34 collects the detection information detected by the vehicle-mounted device 10 of the violating vehicle (step S104), and ends the process.

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

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

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

Further effects and modifications can be easily derived by those skilled in the art. Therefore, the broader aspects of the invention are not limited to the specific details and representative embodiments so shown and described. Accordingly, various changes may be made without departing from the spirit or scope of the general inventive concept defined by the appended claims and equivalents thereof.

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 image information 100 terminal device C vehicle S information processing system

Claims (7)

a detection unit that detects a violation of the traffic rules based on travel information about travel of the vehicle and traffic rule information about the traffic rules;
a determination unit that determines, when the violation is detected by the detection unit, whether or not violation information about the content of the violation satisfies a predetermined collection condition;
An information processing apparatus, comprising: a collection unit that collects detection information detected by equipment of the vehicle when the determination unit determines that the violation information satisfies the predetermined collection condition. The violation information is
including information about the past violation history of the driver of said vehicle;
The determination unit is
The information processing apparatus according to claim 1, wherein it is determined whether or not the violation history satisfies the predetermined collection condition. The determination unit is
The information processing apparatus according to claim 1 or 2, wherein it is determined whether or not a score calculated based on the past driving operation of the driver of the vehicle that detected the violation satisfies the predetermined collection condition. . The violation information is
including detailed information about the extent of said violation;
The determination unit is
The information processing apparatus according to any one of claims 1 to 3, wherein it is determined whether or not the degree of violation satisfies the predetermined collection condition. The violation information is
including information indicating the area in which said violation occurred;
The determination unit is
The information processing apparatus according to any one of claims 1 to 4, wherein it is determined whether or not the past violation status of the area satisfies the predetermined collection condition. The determination unit is
The information processing apparatus according to any one of claims 1 to 5, wherein the predetermined collection condition is set according to the violation characteristics of the driver of the vehicle. an information processing device according to any one of claims 1 to 6;
and an in-vehicle device that transmits the detection information to the information processing device.

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