JP2023084897A - Information processing device and information processing system - Google Patents

Abstract

To provide an information processing device etc. for suitably analyzing a situation of an attempted accident to suitably call attention to a vehicle.SOLUTION: In an information processing device 20, an attempted accident data acquisition unit 212 acquires attempted accident data including at least information indicating that a vehicle has encountered an attempted accident and vehicle position data from a plurality of different vehicles, a date and time data acquisition unit 213 acquires date and time data related to the date and time when the attempted accident data was acquired, an estimation unit 214 estimates occurrence probability of the attempted accident at a position related to the attempted accident data based on the attempted accident data and the date and time data, and an attention information output unit 215, when the estimated occurrence probability is higher than a preset threshold, outputs attention information for calling attention to a vehicle present in the vicinity of a position related to the attempted accident.SELECTED DRAWING: Figure 3

Description

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

Techniques have been disclosed to prevent similar accidents from occurring by providing information about the location of the accident to the driver of the vehicle.

For example, information about a location requiring caution in terms of traffic safety is stored in a support database, and a search is made to see if a location requiring caution is included in the route to the input destination. , and a system for outputting such places requiring attention (Patent Document 1).

Further, for example, a technique for collecting images around the location of an accident has been disclosed (Patent Document 2). In a system based on this technology, when an accident is detected, information about the accident is sent from the accident vehicle to the information center, and the information center notifies other vehicles in the vicinity of the location of the accident of the occurrence of the accident. Acquire images captured by cameras of other vehicles.

JP 2006-163973 A JP 2012-098105 A

The techniques described above collect the fact that an accident actually occurred. However, even if accidents do not occur, dangerous or attempted accident situations do occur.

SUMMARY OF THE INVENTION The present invention has been made to solve such problems, and provides an information processing apparatus or the like that suitably analyzes the circumstances of an attempted accident and suitably alerts a vehicle.

An information processing apparatus according to the present invention includes an attempted accident data acquisition section, a date and time data acquisition section, an estimation section, and a warning information output section. The attempted accident data acquisition unit acquires attempted accident data including at least information indicating that the vehicle encountered the attempted accident and vehicle position data indicating the position where the vehicle encountered the attempted accident from a plurality of different vehicles. The date and time data acquisition unit acquires date and time data related to the date and time when the attempted accident data was acquired. Based on the attempted accident data and the date and time data, the estimating unit estimates the probability of an attempted accident occurring at a location corresponding to the attempted accident data. The warning information output unit outputs warning information for calling attention to a vehicle existing near the location of the attempted accident when the estimated probability of occurrence is higher than a preset threshold.

An information processing method according to the present invention has an attempted accident data acquisition step, a date and time data acquisition step, an estimation step, and a warning information output step. The attempted accident data acquisition step acquires attempted accident data from a plurality of different vehicles, including at least information indicating that the vehicle encountered the attempted accident and vehicle position data indicating the location where the vehicle encountered the attempted accident. The date and time data obtaining step obtains date and time data relating to the date and time when the attempted accident data was obtained. The estimating step estimates the probability of an attempted accident occurring at a location corresponding to the attempted accident data based on the attempted accident data and the date and time data. The warning information outputting step outputs warning information for calling attention to a vehicle existing near the location of the attempted accident when the estimated probability of occurrence is higher than a preset threshold.

Advantageous Effects of Invention According to the present invention, it is possible to provide an information processing device or the like that suitably analyzes the circumstances of an attempted accident and suitably warns a vehicle.

1 is a schematic diagram of an information processing system according to a first embodiment; FIG. 1 is a block diagram of an image analysis system according to Embodiment 1; FIG. 1 is a block diagram of an information processing device according to a first embodiment; FIG. 4 is a flowchart of an image analysis method according to Embodiment 1; 4 is a flowchart of an information processing method according to the first embodiment; It is a figure which shows the example of the image which an image-analysis apparatus processes. FIG. 10 is a diagram showing an example of an image displayed by a terminal that receives caution information from an information processing device; 2 is a block diagram of an image analysis system according to a second embodiment; FIG. 2 is a block diagram of an information processing device according to a second embodiment; FIG. 9 is a flowchart of an information processing method according to the second embodiment;

BEST MODE FOR CARRYING OUT THE INVENTION Hereinafter, the present invention will be described through embodiments of the invention, but the invention according to the scope of claims is not limited to the following embodiments. Moreover, not all the configurations described in the embodiments are essential as means for solving the problems. For clarity of explanation, the following descriptions and drawings are omitted and simplified as appropriate. In each drawing, the same elements are denoted by the same reference numerals, and redundant description is omitted as necessary.

<Embodiment 1>
BEST MODE FOR CARRYING OUT THE INVENTION Hereinafter, embodiments of the present invention will be described with reference to the drawings. FIG. 1 is a schematic diagram of an information processing system according to a first embodiment. An information processing system 1 is shown in FIG. The information processing system 1 includes an image analysis system 10 mounted on a vehicle 90 traveling on a road, and an information processing device 20 . The image analysis system 10 and the information processing device 20 are connected so as to be able to communicate wirelessly.

The image analysis system 10 is a terminal that outputs attempted accident data regarding attempted accidents encountered by the vehicle 90 . The attempted accident data is data relating to an attempted accident encountered by the vehicle 90, and includes at least information indicating the attempted accident. In the present disclosure, an attempted accident refers to a situation in which there was a high possibility that the vehicle 90 would contact or collide with another object, although an accident did not occur. An attempted accident does not mean that a collision actually occurs. Therefore, an acceleration sensor, for example, cannot accurately detect an attempted accident. Therefore, the image analysis system 10 according to the present disclosure detects an attempted accident by analyzing image data of an image of the exterior of the vehicle 90 captured while the vehicle 90 is running. Details of the image analysis system 10 will be described later.

The image analysis system 10 may be a detachable terminal installed in the vehicle 90 or may be integrated with the vehicle 90 . That is, image analysis system 10 may be part of vehicle 90 . The image analysis system 10 is wirelessly connected to the information processing device 20 and transmits attempted accident data to the information processing device 20 .

The information processing device 20 is wirelessly communicably connected to the image analysis system 10 and acquires attempted accident data from the image analysis system 10, which is a terminal. The information processing device 20 is a computer or server having a communication function. The information processing device 20 is not limited to one device, and may be configured by distributed computing. The information processing device 20 collects the attempted accident data acquired from the image analysis system 10 and outputs warning information regarding the attempted accident data to the vehicle 90 . With such a configuration, the information processing system 1 can supply the vehicle 90 with caution information for calling attention when the vehicle 90 is heading to the location where the attempted accident occurred.

The attempted accident data includes information indicating an attempted accident, as described above, but the attempted accident data may additionally include the following data. That is, the attempted accident data may include image data of the situation of the attempted accident. The image data may include identification data of other vehicles and people included in the image, and position data of those objects in the image. The attempted accident data may include data regarding the location and date and time of the attempted accident. The attempted accident data may also include data on the traveling speed and traveling direction of the vehicle 90 when the attempted accident occurred.

Next, the image analysis system 10 will be described with reference to FIG. FIG. 2 is a block diagram of the image analysis system 10 according to the first embodiment. The image analysis system 10 may be, for example, a drive recorder, a navigation system, a smart phone, or a tablet terminal. Image analysis system 10 may also be part of the system of vehicle 90 . The image analysis system 10 may be communicably connected to an ECU (Electronic Control Unit) of the vehicle 90 . The image analysis system 10 has a camera 11, a communication device 12 and an image analysis device 100 as main components.

The camera 11 is a photographing device installed so as to photograph the exterior of the vehicle 90 . The camera 11 includes, for example, an objective lens, an imaging device, an image signal processing circuit, and the like. The camera 11 captures at least the front of the vehicle 90, that is, the traveling direction. The camera 11 performs this photographing operation, for example, every 1/30 second, generates image data for each photographed image, and supplies this to the image data acquisition unit 112 of the image analysis apparatus 100 . The camera 11 may photograph not only the front of the vehicle 90 but also the rear and left and right directions of the vehicle 90 . Camera 11 may be an omnidirectional camera.

The communication device 12 is a device that outputs attempted accident data to the outside of the vehicle 90 . The communication device 12 is a device having a wireless communication function including, for example, an antenna, a transmission/reception signal processing circuit, and the like. The communication device 12 is communicably connected to the communication control unit 116 of the image analysis device 100 , receives attempted accident data from the image analysis device 100 , and transmits the received data to the information processing device 20 . Further, the communication device 12 may receive a predetermined signal from the information processing device 20 and supply the received signal to the communication control section 116 .

Next, the image analysis device 100 will be described. The image analysis device 100 includes, for example, a CPU (Central Processing Unit), a MCU (Micro Controller Unit), or a RAM (Random Access Memory), etc., and the combination of such hardware and pre-stored programs is described in the present disclosure. Realize the function to Alternatively, the image analysis device 100 may implement the functions described in the present disclosure as software. The image analysis apparatus 100 has a vehicle position data acquisition unit 111, an image data acquisition unit 112, a moving body detection unit 113, a determination unit 114, an attempted accident data generation unit 115, a communication control unit 116, and a storage unit 120 as main components. are doing. Also, the above-described components are connected by a bus 101 so as to be able to communicate with each other.

The vehicle position data acquisition unit 111 acquires vehicle position data regarding the position of the vehicle 90 . More specifically, the vehicle position data acquisition unit 111 may acquire vehicle position data by receiving signals from, for example, GNSS (Global Navigation Satellite System) satellites. The vehicle position data acquisition unit 111 may also acquire vehicle position data from a positioning system that the vehicle 90 has.

The image data acquisition unit 112 acquires image data of an image of the outside of the vehicle 90 . More specifically, the image data acquisition unit 112 is communicably connected to the camera 11 and acquires image data generated by the camera 11 .

The moving object detection unit 113 detects a moving object included in the image of the image data acquired by the image data acquiring unit 112 . A moving object is, for example, another vehicle, a bicycle, a motorbike, a pedestrian, a wheelchair, or the like. The moving object detection unit 113 has, for example, a predetermined recognition dictionary in advance, and performs the above detection by comparing the recognition dictionary with the image data. At this time, the moving object detection unit 113 may use a technique such as HOG (Histogram of oriented gradients) or a support vector machine, or may use a learned model learned by machine learning. good.

The determination unit 114 determines whether or not the image is in an attempted accident state based on the detected relationship between the moving body and the vehicle 90 . Regarding this determination, the determination unit 114 determines that an attempted accident is occurring when, for example, the detected moving object exists in the traveling direction of the vehicle 90 and there is a risk that this moving object will come into contact with the vehicle 90 .

The determination unit 114 may set a planned passage area for the vehicle 90 and determine whether or not there is an attempted accident based on the positional relationship between the position of the moving object and the planned passage area. In order to make such a determination, the determining unit 114 detects, for example, a moving object that has entered the planned passage area set in the image data.

Alternatively, the determination unit 114 detects, for example, a moving object that may enter the planned passage area in the image data. Whether or not there is a risk of intrusion into the planned passage area can be determined, for example, by analyzing the traveling direction and traveling speed of the moving object from different frames in the image data at different times in a plurality of frames in the continuous image data. can be determined by Note that the planned traffic area is set in consideration of the safety factor. Therefore, when there is a possibility that the moving body exists closer than the predetermined distance to the vehicle 90, the determination unit 114 can determine this situation as an attempted accident state.

When it is determined that the image is in an attempted accident state, the attempted accident data generation unit 115 generates attempted accident data in which the attempted accident state and the vehicle position data are linked so that the attempted accident data can be output. The attempted accident data includes at least information indicating an attempted accident, but also includes vehicle location data indicating the location where vehicle 90 encountered the attempted accident. The attempted accident data generation unit 115 stores the attempted accident data in the storage unit 120 . Thereby, the image analysis apparatus 100 can output the stored attempted accident data as necessary.

The communication control unit 116 is communicably connected to the communication device 12 and controls the communication device 12 . The communication control unit 116 also supplies the attempted accident data stored in the storage unit 120 to the communication device 12 and causes the communication device 12 to transmit the attempted accident data. In this case, the destination is the information processing device 20 . Further, when the communication control unit 116 receives a predetermined signal from the information processing device 20, the communication control unit 116 may execute processing according to this signal.

The storage unit 120 is a nonvolatile storage device such as a flash memory, SSD (Solid State Drive), or HDD (Hard Disk Drive). The storage unit 120 stores, for example, attempted accident data generated by the attempted accident data generation unit 115 . In addition, the storage unit 120 may store a program for the image analysis device 100 to execute the functions described above.

Note that the image analysis device 100 may receive predetermined caution information from the information processing device 20 . Predetermined warning information is, for example, information relating to attempted accident data on the route of the vehicle 90 output by the information processing device 20 . By receiving this caution information, the driver of the vehicle 90 equipped with the image analysis system 10 can recognize that there is a place in the direction of travel that requires caution in driving. Further, in this case, the image analysis apparatus 100 may have means for making the driver of the vehicle 90 recognize this caution information. That is, the image analysis system 10 may have a display and a speaker (not shown) to notify caution information. Also, the image analysis apparatus 100 may have an interface for supplying this caution information to another apparatus.

Next, the information processing device 20 will be described with reference to FIG. FIG. 3 is a block diagram of the information processing device 20 according to the first embodiment. The information processing apparatus 20 has a communication section 211, an attempted accident data acquisition section 212, a date and time data acquisition section 213, an estimation section 214, a warning information output section 215, and a storage section 220 as main components.

The communication unit 211 is an interface for communicably connecting with the image analysis system 10 . The communication unit 211 may be, for example, an interface capable of wireless communication with the image analysis system 10 . The communication unit 211 may be an interface capable of communicating with the image analysis system 10 via the Internet, a telephone line, or the like.

The attempted accident data acquisition unit 212 acquires attempted accident data including at least information indicating that the vehicle 90 has encountered an attempted accident and position data from a plurality of different vehicles. More specifically, the attempted accident data acquisition unit 212 acquires the attempted accident data via the communication unit 211 . That is, in the information processing system 1, a plurality of vehicles 90 may exist.

The date and time data acquisition unit 213 acquires date and time data related to the date and time when the attempted accident data was acquired. Date and time data includes date and time.

The estimation unit 214 uses the attempted accident data and the date and time data to estimate the probability of an attempted accident occurring at a location corresponding to the attempted accident data. More specifically, the estimation unit 214 counts the number of attempted accident data in a predetermined period. The estimation unit 214 calculates the probability of an attempted accident occurring at that position from the number of attempted accident data collected and the length of the predetermined period. Note that the probability of occurrence may be called the frequency of occurrence. The predetermined period is, for example, 1 month, 3 months, 12 months, or the like.

In this case, the estimation unit 214 calculates the probability of occurrence of an attempted accident from a plurality of attempted accident data, date and time data, etc. stored in the storage unit 220 . Further, the estimation unit 214 may recalculate and update the probability of occurrence of an attempted accident for each predetermined period for locations where the probability of occurrence of an attempted accident has already been calculated. With such a configuration, the information processing apparatus 20 can dynamically calculate the occurrence probability in response to conditions such as road conditions.

When executing the above-described estimation, even if the vehicle position data in the multiple attempted accident data do not match, the estimation unit 214 determines that the multiple attempted accident data are located within a predetermined range. Data can be the object of operations as one place. By performing such processing, the estimation unit 214 can indicate a tendency that attempted accident data is likely to occur within a predetermined range. The predetermined range may be set according to the type of road, such as expressway or general road. Also, the predetermined range may be set according to the type of area, such as an urban area, a school road, or a park.

Warning information output unit 215 outputs warning information for calling attention to vehicle 90 traveling at a location where the attempted accident occurs when the estimated probability of occurrence is higher than a preset threshold. As a result, the information processing device 20 can appropriately call attention to the vehicle 90 traveling in a position where the probability of an attempted accident is higher than the predetermined threshold.

The storage unit 220 is a storage device including a non-volatile memory and a magnetic recording device, and stores the above-described attempted accident data, date and time data, probability of occurrence of attempted accident, caution information related to the attempted accident data, and the like. For example, the storage unit 220 appropriately supplies these stored data and the like to the estimation unit 214 . Note that the storage unit 220 may erase data before a preset period. The preset period in this case is, for example, three years or five years. In other words, in this case, the information processing device 20 calculates the occurrence probability by totaling the attempted accident data up to a preset period.

Next, processing executed by the image analysis apparatus 100 will be described with reference to FIG. FIG. 4 is a flow chart of an image analysis method according to the first embodiment. The flowchart shown in FIG. 4 is triggered by activation of the image analysis apparatus 100, for example.

First, the vehicle position data acquisition unit 111 acquires vehicle position data regarding the position of the vehicle 90 (step S101). The vehicle position data acquisition unit 111 supplies the acquired vehicle position data to the attempted accident data generation unit 115 .

The image data acquisition unit 112 acquires image data of an image of the outside of the vehicle 90 (step S102). The image data acquisition unit 112 supplies the acquired image data to the moving object detection unit 113 and the determination unit 114 .

The moving object detection unit 113 detects a moving object included in the image of the image data acquired from the image data acquisition unit 112 (step S103). The moving body detection unit 113 supplies information about the detected moving body to the determination unit 114 .

The determination unit 114 recognizes the positional relationship between the vehicle 90 and the mobile object from the image data received from the image data acquisition unit 112 and the information about the mobile object received from the mobile object detection unit 113 . Accordingly, the determination unit 114 determines whether or not the vehicle 90 related to the image data is in an attempted accident state (step S104). When determining that the vehicle 90 related to the image data is in an attempted accident state (step S104: YES), the determination unit 114 proceeds to step S105. On the other hand, if it is not determined that the vehicle 90 related to the image data is in an attempted accident state (step S104: NO), the determination unit 114 proceeds to step S106.

In step S105, the attempted accident data generation unit 115 generates attempted accident data in which the attempted accident state and the vehicle position data are linked so that the attempted accident data can be output (step S105). The attempted accident data generation unit 115 may store the generated attempted accident data in the storage unit 120 or may output the data to the information processing device 20 .

In step S106, the image analysis apparatus 100 determines whether or not to end the series of processes (step S106). When determining to end the series of processes (step S106: YES), the image analysis apparatus 100 ends the process. On the other hand, when not determining to end the series of processes (step S106: NO), the image analysis apparatus 100 returns to step S101 and repeats the process.

The processing executed by the image analysis apparatus 100 has been described above. Note that step S101 described above may be performed at the same time as step S102, or may be performed between steps S102 and S105. In other words, the image data may include vehicle position data in the header portion. Alternatively, the vehicle position data and the image data do not need to be obtained at the same timing, and a difference of several tens of milliseconds to several hundreds of milliseconds, for example, is permissible.

After the attempted accident data generation unit 115 generates the attempted accident data in step S105 described above, when storing the generated attempted accident data in the storage unit 120, the image analysis device 100 stores the attempted accident data at a predetermined timing. Send to processing device 20 . In this case, the image analysis apparatus 100 preferably includes data (date and time data) regarding the date and time when the attempted accident state occurred in the attempted accident data.

Next, processing executed by the information processing device 20 will be described with reference to FIG. FIG. 5 is a flowchart of an information processing method according to the first embodiment; The flowchart of FIG. 5 is started when the information processing apparatus 20 is activated, for example.

First, the information processing device 20 determines whether or not the attempted accident data acquisition unit 212 has acquired attempted accident data (step S201). If it is not determined that the attempted accident data has been acquired (step S201: NO), the information processing device 20 repeats step S201. On the other hand, when the attempted accident data acquisition unit 212 acquires attempted accident data (step S201: YES), the information processing apparatus 20 proceeds to step S202.

In step S202, the date and time data acquisition unit 213 acquires date and time data relating to the date and time when the attempted accident data was acquired (step S202). The information processing device 20 associates the attempted accident data with the date and time data, and supplies these data to the estimation unit 214 . The date and time data acquired by the date and time data acquisition unit 213 may be included in the attempted accident data. If the date and time data is not included in the attempted accident data, the date and time data acquisition unit 213 may acquire the date and time when the attempted accident data was acquired as the date and time data. In this case, the date/time data acquisition unit 213 can acquire the date/time data from a clock (not shown) of the information processing device 20 .

Next, the estimation unit 214 estimates the probability of occurrence of an attempted accident at the location corresponding to the attempted accident data from the attempted accident data and the date and time data (step S203). Note that in the flowchart shown in FIG. 5, the estimation unit 214 calculates the occurrence probability P1.

Next, the information processing device 20 compares the occurrence probability P1, which is the result of the estimation performed by the estimation unit 214, with a predetermined threshold value Pth, and determines whether the occurrence probability P1 is higher than the threshold value Pth (step S204). ).

When determining that the occurrence probability P1 is higher than the threshold Pth (step S204: YES), the information processing apparatus 20 proceeds to step S205. In this case, the information processing device 20 outputs caution information related to the attempted accident data (step S205). As a result, the vehicle that has received such caution information can recognize this caution information when traveling in the vicinity of the location of the attempted accident.

On the other hand, if it is not determined in step S204 that the occurrence probability P1 is higher than the threshold value Pth (step S204: NO), the information processing apparatus 20 does not output warning information regarding attempted accident data, and proceeds to step S206. That is, when the occurrence probability P1 is not greater than the threshold value Pth, the information processing device 20 does not call other vehicles to pay attention to the attempted accident data.

In step S206, the information processing apparatus 20 determines whether or not to end the series of processes (step S206). When determining to end the series of processes (step S206: YES), the information processing apparatus 20 ends the process. On the other hand, when not determining to end the series of processes (step S206: NO), the information processing apparatus 20 returns to step S201 and repeats the process.

The flowchart executed by the information processing apparatus 20 has been described above. By executing the above-described method, the information processing device 20 collects attempted accident data from a plurality of different vehicles, estimates the probability of occurrence from the plurality of attempted accident data, and determines the probability of occurrence of an attempted accident that is higher than a predetermined threshold. , to output predetermined warning information to the vehicle. With such a configuration, the information processing device 20 can warn the vehicle of a location with a probability of occurrence higher than a predetermined probability.

Next, an example of image data processed by the image analysis apparatus 100 will be described with reference to FIG. FIG. 6 is a diagram showing an example of an image processed by the image analysis device. A running image 300 is shown in FIG. A running image 300 is an image of the front of the vehicle 90 captured by the camera 11 . The traveling image 300 includes other vehicles traveling in oncoming lanes and a plurality of pedestrians. Each of these moving bodies is surrounded by a rectangle. This indicates that the moving body detection unit 113 is detecting these moving bodies. A traveling image 300 includes a planned passage area 301 and a person image 302 .

The planned passage area 301 is an area through which the vehicle 90 is planned to pass. More specifically, the planned passage area 301 is a trapezoidal or triangular area formed from the lower side of the rectangular traveling image 300 toward the vanishing point of the image. That is, the planned passage area 301 is set along the road extending in front of the vehicle 90 .

The shape of the planned passage area 301 in the left-right direction may be set so as to change according to the angle of the steering wheel of the vehicle 90 . That is, for example, when the vehicle 90 proceeds to the right rather than going straight, or when the vehicle 90 turns to the right, the planned passage area 301 may be set to the right rather than when going straight. At this time, the shape of the planned passage area 301 may also be set so as to be deformed from the center toward the right side according to the magnitude of the rotation angle of the steering wheel. Note that, of course, the same setting can be made for the case on the left side.

The vertical shape of the planned passage area 301 may be set according to the running speed of the vehicle 90 . More specifically, for example, the vertical dimension of the planned passage area 301 may be set to be larger as the speed of the vehicle 90 is faster and smaller as the speed of the vehicle 90 is slower. Alternatively, the width dimension of the planned passage area 301 in the left-right direction may be set to be larger as the speed of the vehicle 90 is faster and smaller as the speed of the vehicle 90 is slower.

A person image 302 is an image of a child. A person image 302 included in the traveling image 300 interferes with the planned passage area 301 . In other words, the person in the person image 302 is likely to come into contact with the vehicle 90 .

In the situation described above, the determination unit 114 determines that the situation is an attempted accident situation. Therefore, the attempted accident data generation unit 115 generates attempted accident data at the position where the traveling image 300 was acquired, based on the traveling image 300 .

Next, an example in which a terminal included in vehicle 90 that receives caution information from information processing device 20 displays this caution information will be described with reference to FIG. 7 . FIG. 7 is a diagram showing an example of an image displayed by a terminal (for example, a display of the image analysis system 10 (not shown), a navigation system, a mobile terminal, etc.) that has received caution information from the information processing device. That is, it is assumed that the vehicle that receives the caution information has a function of superimposing the caution information received from the information processing device 20 on the screen of the navigation system.

A navigation image 400 is shown in FIG. Navigation image 400 includes a map image, destination 401 and vehicle icon 490 superimposed on the map image. In the navigation image 400 , a guide route 404 is superimposed on the road connecting the vehicle icon 490 and the destination 401 . Furthermore, a registered position 402 is indicated on the guidance route 404 . The registered position 402 is the position of the attempted accident data included in the caution information received from the information processing device 20 . Also, the navigation image 400 has a message 403 added to the registered position 402 . A message 403 is a message for calling attention to the registered position 402, and describes "a position where there are many protruding parts" and "be careful". Information described in the message 403 may be included in the information processing device 20 .

The navigation system of the vehicle registers the caution information received from the information processing device 20 so as to be superimposed on the map information. Then, the navigation system makes the driver recognize the message related to the caution information when the vehicle is traveling toward the registered position.

Examples of caution information have been described above, but the means for making the driver recognize the caution information when the terminal receives it is not limited to the above. For example, the vehicle may output an audible warning message. If the vehicle has a head-up display device, a warning message may be displayed on the head-up display device.

The first embodiment has been described above. According to Embodiment 1, it is possible to provide an image analysis apparatus or the like that suitably analyzes the circumstances of an attempted accident and suppresses the occurrence of an accident. Alternatively, according to Embodiment 1, it is possible to provide an information processing device or the like that suitably analyzes the situation of an attempted accident and suitably calls attention to the vehicle.

<Embodiment 2>
Next, Embodiment 2 will be described. Embodiment 2 differs from Embodiment 1 in that additional information is handled. Further, the information processing apparatus according to the second embodiment differs from that of the first embodiment in the function of transmitting caution information.

FIG. 8 is a block diagram of an image analysis system 10B according to the second embodiment. The image analysis system 10B has an image analysis device 100B instead of the image analysis device 100. FIG. Moreover, the image analysis system 10B further has a GNSS sensor 13 .

The GNSS sensor 13 includes an antenna that receives signals transmitted from GNSS satellites. The GNSS sensor generates vehicle position data from signals received from GNSS satellites and supplies the generated vehicle position data to the vehicle position data acquisition unit 111 .

The image analysis device 100B has an incidental data generator 117 . The additional data generation unit 117 generates predetermined additional data related to the date and time when the image was taken. The accompanying data includes the year, month, day, time, etc. when the camera 11 captured the image. The ancillary data may also include the weather at the location where the image data was acquired at this date and time. The additional data may also include the day of the week, season, holiday, holiday, predetermined event, and the like that accompany the date and time. The additional data generator 117 may acquire the above-described additional data via the Internet and the communication device 12, for example.

Further, in this case, the attempted accident data generation unit 115 generates attempted accident data by linking the incidental data when it is determined that the image of the image data acquired by the image data acquisition unit 112 is in an attempted accident state. . That is, the image analysis device 100B generates attempted accident data including supplementary data, and transmits this to the information processing device 20B.

FIG. 9 is a block diagram of an information processing device 20B according to the second embodiment. The information processing device 20B shown in FIG. 9 differs from the information processing device 20 according to the first embodiment in that an additional data acquisition unit 216 and a movement data acquisition unit 217 are further provided.

The incidental data acquisition unit 216 acquires predetermined incidental data related to the date and time when the image data related to the attempted accident data was captured. The additional data acquired by the additional data acquisition unit 216 may be included in advance in the attempted accident data. The incidental data may be data that the information processing device 20B acquires that is not included in the attempted accident data. In this case, the additional data acquisition unit 216 may acquire additional data from another information terminal or the like via the Internet, for example. The additional data acquired by the information processing device 20B is the same as that described with reference to FIG. That is, for example, the incidental data acquired by the image analysis device 100B and the incidental data acquired by the information processing device 20B may be the same or complementary.

The estimating unit 214 according to the present embodiment estimates the probability of occurrence by adding additional data. More specifically, the estimating unit 214 estimates the probability of occurrence based on a predetermined time period. may The predetermined temporal cycle may be, for example, a cycle cycle in which the same pattern such as the day of the week or season is repeated. The predetermined time period may also be a preset period such as one year, three months or four weeks. Alternatively, the predetermined time period may be set as a more specific period within a preset period, such as between 8:00 and 9:00 am in one day.

By estimating the occurrence probability in consideration of such incidental data, the information processing device 20B can estimate that many attempted accidents will occur, for example, during weekday morning commuting hours. Alternatively, with such a configuration, the information processing device 20B can estimate a situation in which many attempted accidents occur due to the angle of the sun in a specific season.

Further, when the incidental data includes data regarding weather, the estimation unit 214 can transmit information to the vehicle that an attempted accident state is likely to occur depending on the weather.

The movement data acquisition unit 217 acquires movement data related to movement of the vehicle. The movement data includes at least vehicle location data for the vehicle. The movement data may include the speed of movement of the vehicle. Travel data may include the type of road the vehicle is traveling on. In this case, the caution information output unit 215 can output caution information to a vehicle approaching the position indicated by the vehicle position data of the attempted accident data. As a result, the information processing device 20B can appropriately call attention to a vehicle heading for a position where the probability of an attempted accident is higher than a predetermined threshold.

Note that when the probability of occurrence is higher than a preset threshold and there is no vehicle near the location of the attempted accident, the warning information output unit 215 holds the warning information in a state in which it can be output. The information processing device 20B also stores attention position information related to this attention information in the storage unit 220 . As a result, when there is a vehicle heading for a position where the probability of an attempted accident is higher than a predetermined threshold value, the information processing device 20 can call attention to the vehicle at a suitable timing. The storage unit 220 according to the present embodiment stores caution information so that it can be output to a vehicle approaching the position indicated by the caution information.

With the above configuration, the information processing apparatus 20B according to the present embodiment can dynamically call attention to the vehicle traveling toward the location where the attempted accident occurred.

Next, the processing executed by the information processing device 20 will be further described with reference to FIG. 10 . FIG. 10 is a flowchart of an information processing method according to the second embodiment. The flowchart shown in FIG. 10 is started when warning information is output.

First, the movement data acquisition unit 217 of the information processing device 20B acquires movement data from the vehicle (step S300).

Next, the information processing device 20B determines whether or not the vehicle is heading to the position (caution position) related to the caution information (step S301). If it is not determined that the vehicle is heading to the position (caution position) related to the caution information (step S301: NO), the information processing device 20B returns to step S300. If it is determined that the vehicle is heading to the position (caution position) related to the caution information (step S301: YES), the information processing device 20 proceeds to step S302.

In step S302, the caution information output unit 215 outputs caution information to the vehicle concerned (step S302). That is, when the estimated probability of occurrence is higher than a preset threshold value, caution information output unit 215 outputs caution information to a vehicle heading toward a location where an accident is attempted.

Next, the information processing device 20B determines whether or not to end the series of processes (step S303). When determining to end the series of processes (step S303: YES), the information processing device 20B ends the process. On the other hand, when not determining to end the series of processes (step S303: NO), the information processing device 20B returns to step S300 and repeats the process.

The second embodiment has been described above. According to Embodiment 2, it is possible to provide an image analysis device, an image analysis system, an information processing device, an information processing system, and the like that suitably analyze the situation of an attempted accident and suppress the occurrence of an accident. Alternatively, according to the second embodiment, it is possible to provide an information processing device or the like that suitably analyzes the circumstances of an attempted accident and suitably alerts the vehicle.

It should be noted that the programs described above include instructions (or software code) that, when read into a computer, cause the computer to perform one or more of the functions described in the embodiments. The program may be stored in a non-transitory computer-readable medium or tangible storage medium. By way of example, and not limitation, computer readable media or tangible storage media include random-access memory (RAM), read-only memory (ROM), flash memory, solid-state drive (SSD), or other memory technology. . The program may be transmitted on a transitory computer-readable medium or communication medium. By way of example, and not limitation, transitory computer readable media or communication media include electrical, optical, or other forms of propagated signals.

It should be noted that the present invention is not limited to the above embodiments, and can be modified as appropriate without departing from the scope of the invention.

1 information processing system 10 image analysis system 11 camera 12 communication device 13 GNSS sensor 20 information processing device 90 vehicle 100 image analysis device 101 bus 111 vehicle position data acquisition unit 112 image data acquisition unit 113 mobile body detection unit 114 determination unit 115 attempted accident Data generation unit 116 Communication control unit 117 Supplementary data generation unit 120 Storage unit 201 Bus 211 Communication unit 212 Attempted accident data acquisition unit 213 Date and time data acquisition unit 214 Estimation unit 215 Warning information output unit 216 Supplementary data acquisition unit 217 Movement data acquisition unit 220 Storage unit 300 Driving image 301 Traveling area 302 Person image 400 Navigation image 401 Destination 402 Registered position 403 Message 404 Guidance route 490 Vehicle icon

Claims (5)

an attempted accident data acquisition unit for acquiring attempted accident data from a plurality of different vehicles, including at least information indicating that a vehicle has encountered an attempted accident and vehicle position data indicating a position where the vehicle has encountered the attempted accident;
a date and time data acquisition unit for acquiring date and time data related to the date and time when the attempted accident data was acquired;
an estimating unit for estimating the probability of occurrence of the attempted accident at a position corresponding to the attempted accident data based on the attempted accident data and the date and time data;
a warning information output unit that outputs warning information for calling attention to a vehicle existing in the vicinity of the location where the attempted accident occurs when the estimated probability of occurrence is higher than a preset threshold. processing equipment. further comprising an incidental data acquisition unit for acquiring predetermined incidental data related to the date and time when the image data related to the attempted accident data was captured,
The estimating unit estimates the probability of occurrence by adding additional data.
The information processing device according to claim 1 . The estimation unit estimates the probability of occurrence based on a predetermined temporal cycle.
The information processing apparatus according to claim 1 or 2. further comprising a movement data acquisition unit for acquiring movement data relating to movement of the vehicle;
The caution information output unit outputs caution information to a vehicle approaching a position corresponding to the vehicle position data of the attempted accident data.
The information processing apparatus according to any one of claims 1 to 3. a vehicle including a terminal that outputs the attempted accident data relating to the attempted accident encountered by the vehicle;
The information processing device according to any one of claims 1 to 4, which acquires the attempted accident data from the terminal;
An information processing system comprising

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