Safe driving assistance system and safe driving assistance method

Abstract

The invention relates to a safe driving assistance system and a safe driving assistance method. In a safe driving assistance system of the present invention, a data center is connected to a plurality of vehicles via a communication network. The data center stores, in a storage device, the position of a first vehicle when the attention information is received from the first vehicle in which the behavior disorder of the vehicle is detected by a G sensor as an attention point. When the data center receives the attention information, the data center transmits, to a second vehicle approaching the attention point, data of an attention image extracted from data of an image captured by an automobile data recorder of the first vehicle and data of an image for a certain period of time before the attention information is received. The display of the second vehicle, which receives the data of the attention image, displays the attention image before the second vehicle arrives at the attention point, and gives an attention alert.

Description

Technical Field

[0001] The invention relates to a safe driving assistance system and a safe driving assistance method. Background Art

[0002] Japanese Patent Application Laid-Open No. 2006-329713 discloses a navigation device that assists safe driving by notifying the driver that the vehicle will travel at the caution point in the future when there is a previously registered caution point on the route to the destination.

[0003] If the driver knows the situation of the caution point in advance, he can perform preventive driving in advance. However, the driver cannot fully understand the situation of the caution point in advance just by notifying that the vehicle will travel at the caution point. Summary of the invention

[0004] The following describes the means for solving the above-mentioned problems and their effects. The safe driving assistance system for solving the above-mentioned problems is a safe driving assistance system in which a data center is connected to a plurality of vehicles via a communication network, the data center is provided with a storage device and a processing device, and the plurality of vehicles are provided with a detection device capable of detecting the disordered behavior of the vehicle, a shooting device capable of shooting an image in front of the vehicle, a navigation device, and a display device capable of displaying an image. In the safe driving assistance system, the processing device receives the position information of the plurality of vehicles from the navigation devices of the plurality of vehicles. The processing device receives the data of the images shot by the shooting devices of the plurality of vehicles and stores it in the storage device. The processing device determines the position of the first vehicle when the attention information is received from the first vehicle among the plurality of vehicles based on the position information of the first vehicle whose disordered behavior is detected by the detection device, and stores the position as an attention point in the storage device. When receiving the caution information, the processing device extracts the data of the caution image of the caution location from the data of the image captured by the camera of the first vehicle and stored in the storage device for a certain period of time before receiving the caution information. The processing device sends the data of the caution image stored in the storage device to a second vehicle among the plurality of vehicles that is close to the caution location stored in the storage device. The display device of the second vehicle that receives the data of the caution image displays the caution image before the second vehicle reaches the caution location to give a caution reminder.

[0005] The safe driving assistance method for solving the above-mentioned problem is a safe driving assistance method in a safe driving assistance system in which a data center and a plurality of vehicles are connected via a communication network, the data center is provided with a storage device and a processing device, and the plurality of vehicles are provided with a detection device capable of detecting the disordered behavior of the vehicle, a camera capable of capturing an image in front of the vehicle, a navigation device, and a display device capable of displaying the image. The safe driving assistance method includes a first step in which the processing device receives the position information of the plurality of vehicles from the navigation devices of the plurality of vehicles. The safe driving assistance method includes a second step in which the processing device receives the image data captured by the camera devices of the plurality of vehicles and stores it in the storage device. The safe driving assistance method includes a third step in which the processing device determines the position of the first vehicle when receiving the attention information from the first vehicle among the plurality of vehicles based on the position information of the first vehicle whose behavior is detected by the detection device, and stores the position as an attention point in the storage device. The safe driving assistance method includes the following step 4: when the processing device receives the caution information, the processing device causes the storage device to store the data of the caution image of the caution location extracted from the data of the image captured by the camera of the first vehicle for a certain period of time before receiving the caution information. The safe driving assistance method includes the step 5 of the processing device sending the data of the caution image stored in the storage device to the second vehicle among the plurality of vehicles that is close to the caution location stored in the storage device. The safe driving assistance method includes the step 6 of prompting the attention by displaying the caution image before the second vehicle reaches the caution location through the display device of the second vehicle.

[0006] The safe driving assistance system and the safe driving assistance method can remind the driver to pay attention in a manner that allows the driver to grasp the situation of the attention point in advance. Therefore, the driver can grasp the situation of the attention point in advance and perform appropriate preventive driving. BRIEF DESCRIPTION OF THE DRAWINGS

[0007] Features, advantages, and technical and industrial significance of exemplary embodiments of the present invention are described below with reference to the accompanying drawings, in which like reference numerals represent like components, wherein:

[0008] Figure 1 It is a diagram showing the configuration of a safe driving support system according to one embodiment.

[0009] Figure 2 It is a diagram showing an example of an image of a drive recorder in the safe driving support system according to the embodiment.

[0010] Figure 3 It is a sequence diagram showing the flow of processing by the data center, the first vehicle, and the second vehicle in the safe driving support system according to the embodiment.

[0011] Figure 4 This is a flowchart showing the flow of processing executed by a navigation device of a vehicle in the safe driving support system according to the embodiment.

[0012] Figure 5 This is a flowchart showing the flow of processing periodically executed by a data center in the safe driving support system according to the embodiment.

[0013] Figure 6 This is a flowchart showing the flow of processing executed by the data center in the safe driving support system according to the embodiment when the vehicle passes through each cautionary point. DETAILED DESCRIPTION

[0014] Below, refer to Figure 1 to Figure 6 An embodiment of a safe driving assistance system will be described.

[0015] Configuration of the safe driving assistance system 10

[0016] like Figure 1 As shown, the safe driving support system 10 is composed of a plurality of vehicles 100 and a data center 200. The data center 200 is communicably connected to the plurality of vehicles 100 via a communication network 300. Each vehicle 100 includes a drive recorder 110 as an example of a camera, and a navigation device 120.

[0017] Figure 2 2 shows an example of an image captured by the driving recorder 110. Figure 2 As shown, the driving recorder 110 captures and records the image in front of the vehicle 100 that can be seen from the driver's seat. The driving recorder 110 includes a G sensor 130. The G sensor 130 measures the magnitude of acceleration or deceleration of the vehicle 100, and detects the disorder of the behavior of the vehicle 100 based on the measured magnitude of acceleration or deceleration.

[0018] The navigation device 120 is configured to include a receiver of a satellite positioning system, a communication device, a display 140 which is an example of a display device capable of displaying images, and a storage device storing data such as map information.

[0019] The drive recorder 110 and the navigation device 120 are connected to each other so as to be able to exchange information with each other. The drive recorder 110 stores information on the date and time of shooting and position information on the place where shooting was performed together with the data of the shot image in a storage device.

[0020] The data center 200 includes a communication device 230. The communication device 230 is installed as hardware such as a network adapter, various communication software, or a combination thereof. Moreover, the communication device 230 is configured to enable wired or wireless communication via the communication network 300. The data center 200 can be configured using a plurality of computers. For example, the data center 200 can be configured by a plurality of server devices.

[0021] The location where the vehicle 100 may be detected to be in a disorderly manner is, for example, Figure 2 In addition to the places where fallen objects are found on the road as shown, there are also places where the broken-down vehicle stops, the fork of the highway, and places where there are signs to draw attention. That is, the places where the disordered behavior of the vehicle 100 may be detected are sometimes places where the driver needs to pay attention. If the conditions of such attention places are known in advance, the driver can perform preventive driving in advance.

[0022] The safe driving assistance system 10 displays the images of the respective cautionary points captured by the driving recorders 110 of the plurality of vehicles 100 whose behaviors are disordered on the displays 140 of the vehicles 100 approaching the respective cautionary points before the plurality of vehicles 100 approaching the respective cautionary points arrive at the respective cautionary points. Thus, the safe driving assistance system 10 warns the drivers of the vehicles 100 approaching the respective cautionary points to pay attention.

[0023] More specifically, in the safe driving support system 10, the data center 200 receives position information from a plurality of vehicles 100. The data center 200 receives the data of the images captured by the driving recorders 110 of the plurality of vehicles 100 and stores them in the storage device 220. The data center 200 receives the caution information from the first vehicle 101 among the plurality of vehicles 100. The first vehicle 101 is a vehicle 100 among the plurality of vehicles 100 whose behavior is detected to be disturbed by the G sensor 130. When receiving the caution information, the data center 200 specifies the position of the first vehicle 101 based on the received position information, stores the position in the storage device 220, and registers it as a caution point. When receiving the caution information, the data center 200 extracts the image data of the caution point from the image data of a certain period before receiving the caution information among the image data captured by the driving recorder 110 of the first vehicle 101 stored in the storage device 220. The data center 200 stores the extracted image data of the caution point in the storage device 220 as the data of the caution image. The data center 200 transmits the data of the attention image stored in the storage device 220 to the second vehicle 102 among the plurality of vehicles 100. The second vehicle 102 is a vehicle approaching the attention point stored in the storage device 220. The display 140 of the second vehicle 102 that has received the attention image data displays the attention image before the second vehicle 102 reaches the attention point to remind the driver to pay attention.

[0024] Transmission and reception of video data in the safe driving assistance system 10

[0025] Next, refer to Figure 3 , the transmission and reception of image data between the data center 200 and the first vehicle 101 and the second vehicle 102 will be described.

[0026] like Figure 3 As shown, in the safe driving assistance system 10, the data center 200 receives the image data from the vehicle 100. In the safe driving assistance system 10, the data center 200 transmits the data of the attention image extracted from the image data captured by the driving recorder 110 of the first vehicle 101 to the second vehicle 102. Thus, the safe driving assistance system 10 can provide the data of the attention image captured by the driving recorder 110 of the first vehicle 101 to the second vehicle 102.

[0027] like Figure 3 As shown, the data center 200 receives the image data from the vehicle 100 and the data center 200 provides the attention image data to the second vehicle 102 in parallel.

[0028] like Figure 3As shown in FIG. 1 , in the process of receiving the image data provided by the vehicle 100, the vehicle 100 periodically transmits the image data captured by the driving recorder 110 and the position information indicating the current position of the vehicle 100 to the data center 200 at a certain period. The data center 200 that receives the image data stores the received image data in the storage device 220. Figure 3 As shown in the upper part of , when the G sensor 130 of the first vehicle 101 detects that the behavior of the first vehicle 101 is disordered, the first vehicle 101 sends attention information to the data center 200. The data center 200 that receives the attention information stores the position of the first vehicle 101 that can be determined based on the received position information of the first vehicle 101 in the storage device 220, thereby registering it as a attention point. The data center 200 that receives the attention information extracts the image data of the registered attention point from the image data captured by the driving recorder 110 of the first vehicle 101, and stores it in the storage device 220 as the attention image data.

[0029] like Figure 3 As shown in the lower part of , in the process of providing the attention image data to the second vehicle 102, when there is a second vehicle 102 approaching the registered attention point, the data center 200 determines that it is necessary to send the attention image data to the second vehicle 102. The data center 200 determines whether there is a second vehicle 102 approaching the registered attention point based on the position information received from the vehicle 100. And, when it is necessary to send the attention image data to the second vehicle 102, the data center 200 sends the attention image data of the attention point approached by the second vehicle 102 to the second vehicle 102.

[0030] Below, refer to Figures 4 to 6 , the flow of processing executed in the vehicle 100 and the flow of processing executed in the data center 200 in order to realize the above-mentioned attention reminder using an image will be described in more detail.

[0031] Processing performed by the navigation device 120 of the vehicle 100

[0032] Figure 4 1 shows the flow of a series of processes executed by the vehicle 100. The series of processes are periodically executed at a certain cycle by the navigation device 120 of the vehicle 100. The series of processes are executed in parallel with the route guidance by the navigation device 120 using the satellite positioning system.

[0033] like Figure 4As shown in FIG. 1 , when the series of processes are started, the navigation device 120 first transmits the image data and the position information capable of specifying the current position of the vehicle 100 to the data center 200 in the process of step S100. The image data transmitted is the image data captured by the driving recorder 110 of the vehicle 100. The position information capable of specifying the current position of the vehicle 100 transmitted is the information that can be obtained from the receiver of the satellite positioning system provided in the navigation device 120.

[0034] Next, in the process of step S110, the navigation device 120 determines whether the behavior of the vehicle 100 is disordered. When the G sensor 130 provided in the driving recorder 110 of the vehicle 100 detects that the behavior of the vehicle 100 is disordered, the navigation device 120 determines that the behavior of the vehicle 100 is disordered. For example, the G sensor 130 of the vehicle 100 measures the magnitude of the acceleration or deceleration of the vehicle 100, and detects that the behavior of the vehicle 100 is disordered when the magnitude of the acceleration or deceleration per unit time exceeds a certain value. That is, when the magnitude of the acceleration or deceleration per unit time measured by the G sensor 130 of the vehicle 100 exceeds a certain value, the navigation device 120 determines that the acceleration of the first vehicle 101 changes suddenly. When the navigation device 120 determines that the behavior of the vehicle 100 is disordered in the process of step S110 (step S110: Yes), the process proceeds to step S120.

[0035] In the process of step S120, the navigation device 120 transmits the caution information to the data center 200. This process is equivalent to Figure 3 The attention information is information that can identify the disordered behavior of the vehicle 100. In addition, the attention information may include position information that can identify the position where the disordered behavior of the vehicle 100 occurs.

[0036] When the caution information is transmitted to the data center 200 by the process of step S120, the process proceeds to step S130. In addition, when the navigation device 120 does not determine that the behavior of the vehicle 100 is disordered in the process of step S110 (step S110: No), the navigation device 120 does not execute the process of step S120 but executes the process of step S130.

[0037] Next, in the process of step S130, the navigation device 120 determines whether the attention image data is received from the data center 200. When the navigation device 120 determines in the process of step S130 that the attention image data is received (step S130: Yes), the process proceeds to step S140.

[0038] In the process of step S140, the display 140 of the navigation device 120 displays the caution image received from the data center 200 to give a caution reminder. Figure 3 The processing of the second vehicle 102 shown in the lower section of . That is, depending on the situation, the vehicle 100 may act as the first vehicle 101 that provides image data and sends attention information, or may act as the second vehicle 102 that receives the data provided by the attention image. Among them, when the attention image is a dynamic image, the navigation device 120 may also adjust the playback speed of the image according to the speed of the vehicle 100 when playing the attention image so that the image captured at the position where the vehicle 100 will pass in a few seconds is displayed on the display 140. As a result, the driver of the vehicle 100 can easily visually grasp the situation before the vehicle 100 arrives at the attention point. If the attention image is displayed through the processing of step S140 in this way, the navigation device 120 ends the series of processing.

[0039] If the navigation device 120 does not determine that the warning image data is received in the process of step S130 (step S130: No), the navigation device 120 does not execute the process of step S140 and ends the series of processes. In other words, the display 140 of the navigation device 120 ends the series of processes without issuing a warning.

[0040] The data center 200 performs processing periodically at a certain period.

[0041] Figure 5 The process flow of the data center 200 is shown. The series of processes are executed by the processing device 210 of the data center 200. The series of processes is equivalent to Figure 3 Processing of data center 200 is shown.

[0042] like Figure 5 As shown, when the series of processes are started, the processing device 210 first receives the position information of the plurality of vehicles 100 in the process of step S200. At this time, the position information received by the processing device 210 is Figure 3 The position information received from the first vehicle 101 and the second vehicle 102.

[0043] Next, in the process of step S210, the processing device 210 stores the received image data in the storage device 220. The image data received by the processing device 210 is Figure 3 The data of the images received from the first vehicle 101 and the second vehicle 102.

[0044] Next, in the process of step S220, the processing device 210 determines whether the attention information is received. The attention information received by the processing device 210 is Figure 3 The warning information received from the first vehicle 101 in the process of step S220. When the processing device 210 determines that the warning information is received from the first vehicle 101 (step S220: Yes), the process proceeds to step S230.

[0045] In the process of step S230, the processing device 210 determines the position of the first vehicle 101 when the warning information is received, and stores the position in the storage device 220, thereby registering it as a warning point. At this time, the processing device 210 determines the position of the first vehicle 101 when the warning information is received based on the position information of the first vehicle 101 received in the process of step S200.

[0046] Next, in the process of step S240, the processing device 210 performs extraction processing. The extraction processing is a process of extracting the data of the image of the attention point registered in the process of step S230 from the data of the image stored in the storage device 220 in the process of step S210 as the data of the attention image. For example, the processing device 210 extracts the data of the attention image from the data of the image for a certain period before receiving the attention information in the data of the image stored in the storage device 220 in the process of step S210. It is preferred that the processing device 210 uses the data of the image that makes it easy to know the status of the attention point as the data of the attention image. For example, the extraction processing may be a process in which the processing device 210 shows the image for a certain period before receiving the attention information to the operator so that the operator extracts a part of it as the attention image. For example, the extraction processing may also be a process in which the processing device 210 analyzes the data of the attention image for a certain period before receiving the attention information through AI to extract the data of the attention image. In addition, the processing device 210 may extract the data of the attention image as the data of a static image or as the data of a dynamic image.

[0047] In the process of step S240, the processing device 210 stores the extracted attention image data in the storage device 220. By performing such a process by the processing device 210, the attention image data extracted from the image data captured by the driving recorder 110 of the first vehicle 101 before the disordered behavior of the first vehicle 101 is detected is stored in the storage device 220.

[0048] Next, in the process of step S250, the processing device 210 performs an update process. The update process is a process of evaluating the data of the newly stored attention image to update the data of the attention image provided to the second vehicle 102. The processing device 210 compares the data of the attention image of the same attention location that has been accumulated in the storage device 220 as the data of the attention image provided to the second vehicle 102 with the data of the newly stored attention image. The processing device 210 updates the data of the attention image provided to the second vehicle 102 based on the result of comparing the data of these attention images. Preferably, the processing device 210 uses the data of the image that more clearly captures the condition of the attention location. Therefore, for example, the processing device 210 selects the data that more clearly captures the condition of the attention location as the data of the attention image provided to the second vehicle 102. Preferably, the processing device 210 uses the data of the new attention image. Therefore, for example, the processing device 210 selects the updated data as the data of the attention image provided to the second vehicle 102.

[0049] The update process may be performed after accumulating a plurality of attention image data about the same attention point in the storage device 220. In this case, the processing device 210 selects one attention image data from the plurality of attention image data about the same attention point to update the attention image data transmitted to the second vehicle 102. For example, the update process may be a process in which the processing device 210 shows the attention image data accumulated in the storage device 220 to the operator so that the operator selects one attention image data. For example, the update process may also be a process in which the processing device 210 analyzes the attention image data by AI and selects the attention image data based on the result.

[0050] If the update process of step S250 is executed and the data of the attention image is stored in the storage device 220, the process proceeds to step S260. In addition, if the processing device 210 does not determine that the attention information is received from the first vehicle 101 in the process of step S220 (step S220: No), the processing device 210 does not execute the processes of steps S230 to S250. In this case, the processing device 210 does not execute the processes of steps S230 to S250 and executes the process of step S260.

[0051] Next, in the process of step S260, the processing device 210 determines whether there is a second vehicle 102 approaching the attention point stored in the storage device 220. At this time, the processing device 210 determines whether there is a second vehicle 102 approaching the attention point for each attention point stored in the storage device 220. The processing device 210 determines the position of the second vehicle 102 based on the position information received in the process of step S200. At the same time, the processing device 210 determines the distance between the determined position of the second vehicle 102 and each attention point stored in the storage device 220. For example, when the distance between the position of the second vehicle 102 and the attention point stored in the storage device 220 is less than a certain distance, the processing device 210 determines that there is a second vehicle 102 approaching the attention point. When the processing device 210 determines that there is a second vehicle 102 approaching the attention point (step S260: Yes), the process proceeds to step S270.

[0052] Next, in the process of step S270 , the processing device 210 selects the data of the attention image to be transmitted to the second vehicle 102 by searching the data of the attention image of the attention point approached by the second vehicle 102 from the data of the plurality of attention images stored in the storage device 220 .

[0053] Next, in the process of step S280, the processing device 210 transmits the attention image data to the second vehicle 102 approaching the attention point. The attention image data transmitted to the second vehicle 102 is the attention image data selected in the process of step S270. Since the processing device 210 transmits the attention image data to the second vehicle 102 approaching the attention point, the timing for the second vehicle 102 to receive the attention image data is the timing before the second vehicle 102 arrives at the attention point. Therefore, Figure 4 In the processing of step S140, the display 140 of the second vehicle 102 displays the attention image when receiving the attention image data, thereby providing attention reminder before the second vehicle 102 reaches the attention location. When the attention image data is transmitted to the second vehicle 102 through the processing of step S280, the processing device 210 ends the series of processing.

[0054] If the processing device 210 does not determine that there is a second vehicle 102 approaching the caution point in the process of step S260 (step S260: No), the processing device 210 does not perform the process of step S270 and the process of step S280. In this case, the processing device 210 does not perform the process of step S270 and the process of step S280 and ends the series of processes. That is, if there is no second vehicle 102 approaching the caution point, the processing device 210 does not send the data of the caution image to the second vehicle 102 and ends the series of processes.

[0055] Processing performed by the data center 200 when the vehicle 100 passes each caution point

[0056] Figure 6 The flow of the processing performed by the data center 200 when the vehicle 100 passes through each registered cautionary point is shown. This series of processing is performed by the processing device 210 of the data center 200. This series of processing is equivalent to Figure 3 Processing of data center 200 is shown.

[0057] like Figure 6 As shown in FIG. 1 , when the series of processes is started, the processing device 210 first counts the number of vehicles 100 that have passed through the caution point without transmitting the caution information to the data center 200 in the process of step S300. The processing device 210 counts the number of vehicles 100 that have passed through each caution point without transmitting the caution information for each caution point stored in the storage device 220 based on the position information received from the plurality of vehicles 100 and whether the caution information has been received. The processing device 210 stores the counted number of vehicles 100 in the storage device 220.

[0058] Next, in step S310, the processing device 210 determines for each of the cautionary points stored in the storage device 220 whether the number of vehicles 100 that have passed through the cautionary point without transmitting caution information is greater than a certain number. At this time, the processing device 210 determines whether the number of vehicles 100 that have passed through the cautionary point without transmitting caution information is greater than a certain number based on the number of vehicles 100 stored in the storage device 220 in the process of step S300. When the processing device 210 determines that the number of vehicles 100 that have passed through the cautionary point without transmitting caution information is greater than a certain number for each of the cautionary points stored in the storage device 220 (step S310: Yes), the process proceeds to step S320.

[0059] Next, in the process of step S320, for a caution point where the number of vehicles 100 passing through the caution point without transmitting caution information is greater than a certain number, the processing device 210 deletes the information of the caution point stored in the storage device 220. Specifically, the processing device 210 deletes the information of the caution point stored in the storage device 220. Figure 5In the processing of step S230 shown in FIG. 2 , the processing device 210 deletes the attention points stored in the storage device 220, where the number of vehicles 100 passing through the attention points without sending attention information is greater than a certain number. That is, the processing device 210 erases the attention points registered, where the number of vehicles 100 passing through the attention points without sending attention information is greater than a certain number. And, when the storage device 220 stores the data of the attention image of the deleted attention point, the processing device 210 deletes the data of the attention image of the deleted attention point. When the information of the attention point where the number of vehicles 100 passing through the attention point without sending attention information is greater than a certain number is deleted by the processing of step S320, the processing device 210 ends the series of processing.

[0060] When the processing device 210 does not determine that the number of vehicles 100 that have passed the caution point without transmitting caution information is greater than a certain number in the process of step S310 (step S310: No), the processing device 210 does not perform the process of step S320. In this case, the processing device 210 does not perform the process of step S320 and ends the series of processes. That is, for each caution point stored in the storage device 220, when the number of vehicles 100 that have passed the caution point without transmitting caution information is not greater than a certain number, the processing device 210 does not delete the information of the caution point and ends the series of processes.

[0061] The role of implementation

[0062] In the safe driving assistance system 10, the processing device 210 of the data center 200 refers to Figure 5 The process of step S200 in the series of processes described above receives position information of a plurality of vehicles 100 from the navigation devices 120 of the plurality of vehicles 100. Figure 5 The processing described here is the first step in the safe driving assistance method according to the safe driving assistance system 10 .

[0063] Furthermore, the processing device 210 refers to Figure 5 In the process of step S210 in the series of processes described above, the data of the images captured by the drive recorders 110 of the plurality of vehicles 100 are received and stored in the storage device 220. Figure 5 The processing described here is the second step in the safe driving assistance method according to the safe driving assistance system 10 .

[0064] Furthermore, the processing device 210 refers to Figure 5The processing of step S230 in the series of processing described above determines the position of the first vehicle 101 when the caution information is received from the first vehicle 101 based on the position information of the first vehicle 101. The first vehicle 101 is a vehicle 100 whose G sensor 130 detects that the behavior of the vehicle 100 is disordered among the plurality of vehicles 100. The processing device 210 stores the determined position of the first vehicle 101 as a caution point in the storage device 220. Figure 5 The processing described here is the third step in the safe driving assistance method according to the safe driving assistance system 10 .

[0065] Furthermore, the processing device 210 refers to Figure 5 The processing of step S240 in the series of processing described above is to store the data of the attention image of the attention point in the storage device 220 when the attention information is received. The data of the attention image is extracted from the data of the image captured by the driving recorder 110 of the first vehicle 101 for a certain period of time before the attention information is received and stored in the storage device 220. Figure 5 The processing described here is the fourth step in the safe driving assistance method according to the safe driving assistance system 10 .

[0066] Furthermore, the processing device 210 refers to Figure 5 In the process of step S280 in the series of processes described above, the data of the attention image stored in the storage device 220 is transmitted to the second vehicle 102 approaching the attention point among the plurality of vehicles 100. Figure 5 The processing described here is the fifth step in the safe driving assistance method involved in the safe driving assistance system 10 .

[0067] Furthermore, the display 140 of the second vehicle 102 refers to Figure 4 In the process of step S140 in the series of processes described above, the caution image is displayed before the second vehicle 102 reaches the caution point, thereby providing a caution reminder. Figure 4 The processing described here is the sixth step in the safe driving assistance method involved in the safe driving assistance system 10 .

[0068] In this way, the safe driving assistance system 10 executes the safe driving assistance method including the first step, the second step, the third step, the fourth step, the fifth step, and the sixth step. By executing such a safe driving assistance method, the safe driving assistance system 10 registers the position of the disordered behavior as the attention point when the behavior of the vehicle 100 is disordered. In addition, the safe driving assistance system 10 extracts the data of the attention image from the data of the image captured by the driving recorder 110 of the first vehicle 101 for a certain period before the disordered behavior. In addition, the safe driving assistance system 10 sends the extracted attention image data to the second vehicle 102 approaching the attention point. In addition, for the safe driving assistance system 10, the display 140 of the second vehicle 102 that receives the attention image data displays the attention image before the second vehicle 102 arrives at the attention point to remind the attention.

[0069] Effects of this embodiment

[0070] (1) The safe driving support system 10 can provide a warning so that the driver can understand the situation of the attention point in advance. Thus, the driver can understand the situation of the attention point in advance and perform appropriate preventive driving.

[0071] (2) When the display 140 of the second vehicle 102 plays a moving image of a caution image to give a caution reminder, the playback speed of the image is adjusted according to the speed of the second vehicle 102 so as to display an image captured at the location to be reached after a predetermined time. Therefore, the driver of the second vehicle 102 can easily visually grasp the situation until the location to be reached after a predetermined time.

[0072] (3) The processing device 210 selects the data of the attention image to be transmitted to the second vehicle 102 from the data of the plurality of attention images about the same attention point stored in the storage device 220, and updates the data of the attention image to be transmitted to the second vehicle 102. Since the safe driving support system 10 updates the data of the attention image, the status of the attention point can be understood based on the appropriate attention image.

[0073] (4) For a caution point where the number of vehicles 100 that have passed through the caution point without sending caution information to the data center 200 is greater than a certain number, the processing device 210 deletes the information of the caution point stored in the storage device 220. That is, when the number of vehicles 100 that have passed through the caution point without disorderly behavior is greater than a certain number, the processing device 210 deletes the information of the caution point. When the number of vehicles 100 that have passed through the caution point without disorderly behavior is greater than a certain number, there is a high possibility that the condition of the caution point has changed to a safe condition. At this time, the processing device 210 deletes the information of the caution point, and even if there is a second vehicle 102 approaching the caution point whose information has been deleted, the caution image is no longer sent to the second vehicle 102. Therefore, it is possible to suppress the situation where the caution reminder is continued even though the condition of the caution point is a safe condition.

[0074] (6) In the event that the vehicle 100 behaves in a disorderly manner, the above-mentioned safe driving assistance method registers the location of the disordered behavior as a caution point, and extracts the data of the caution image from the data of the image captured by the driving recorder 110 of the first vehicle 101 during a certain period before the disordered behavior. Furthermore, the extracted data of the caution image is sent to the second vehicle 102 approaching the caution point. Furthermore, the display 140 of the second vehicle 102 that receives the data of the caution image displays the caution image to provide a caution reminder before the second vehicle 102 arrives at the caution point. Therefore, the above-mentioned safe driving assistance method can provide a caution reminder in a manner that the driver can grasp the status of the caution point in advance. As a result, the driver can grasp the status of the caution point in advance and perform appropriate preventive driving.

[0075] Change Example

[0076] This embodiment can be implemented by being modified as follows. This embodiment and the following modified examples can be implemented in combination with each other within the range that there is no technical contradiction.

[0077] The video data captured by the drive recorder 110 as an example of a camera is transmitted from the plurality of vehicles 100 to the data center 200. Alternatively, for example, when the navigation device 120 is activated, the driver is asked whether or not to allow the transmission of the video data, and the video data is transmitted if the driver permits.

[0078] The plurality of vehicles 100 may operate as the first vehicle 101 or the second vehicle 102. In contrast, there may be a vehicle 100 that only receives the provision of a warning image, that is, a vehicle 100 that only operates as the second vehicle 102. In this case, the vehicle 100 that only receives the provision of a warning image may not include the drive recorder 110.

[0079] Among the plurality of vehicles 100 , there may be a vehicle that only provides images.

[0080] In the above-mentioned safe driving support system 10, the warning image is displayed on the display 140 provided in the navigation device 120 of the second vehicle 102. On the other hand, the warning image may be displayed on a display device different from the display 140 provided in the navigation device 120 in the second vehicle 102. As an example of a display device different from the display 140 provided in the navigation device 120, there is a head-up display that displays an image on a windshield.

[0081] When the warning image is displayed on the display 140 of the second vehicle 102 , a sound that can confirm that the warning image is being displayed may be output from the navigation device 120 .

[0082] In the above-mentioned safe driving support system 10, the detection device for detecting the disordered behavior of the vehicle 100 is the G sensor 130. On the other hand, the detection device for detecting the disordered behavior of the vehicle 100 may be a device different from the G sensor 130. As an example, the detection device may be a steering angle sensor that measures the displacement of the angle of the steering wheel provided in the vehicle 100. As an example, the detection device may be a pedal stroke sensor that measures the displacement of the brake pedal provided in the vehicle 100. In addition, when the steering angle sensor and the pedal stroke sensor are used as the detection device, when the magnitude of the displacement per unit time exceeds a certain value, it may be detected that the behavior of the vehicle 100 is disordered. That is, when the magnitude of the displacement per unit time exceeds a certain value, the warning information may be sent from the first vehicle 101 to the data center 200. In addition, the detection device may be configured by combining some or all of the sensors among the G sensor 130, the steering angle sensor, and the pedal stroke sensor.

[0083] The processing device 210 of the data center 200 transmits the data of the attention image to the second vehicle 102 among the plurality of vehicles 100 that is close to the attention point stored in the storage device 220. On the other hand, when the navigation device 120 of the vehicle 100 performs route guidance, the processing device 210 of the data center 200 may determine whether the route to the guided destination includes the attention point. Furthermore, when the route guided by the navigation device 120 of the vehicle 100 includes the attention point, the processing device 210 may determine whether the route to the guided destination includes the attention point. Figure 5 In the process of step S260, it is determined that there is a second vehicle 102 approaching the cautionary point. As a result, the processing device 210 can transmit the cautionary image data to the second vehicle 102 including the cautionary point on the route guided by the navigation device 120 among the plurality of vehicles 100.

[0084] In the above-mentioned safe driving assistance system 10, the images sent from the plurality of vehicles 100 to the data center 200 are images captured by the drive recorder 110. On the other hand, the images sent from the plurality of vehicles 100 to the data center 200 may be images captured by a camera different from the drive recorder 110. As an example of a camera different from the drive recorder 110, there is a vehicle-mounted camera for driving assistance.

[0085] The processing device 210 counts the number of vehicles 100 that have passed the caution point without disturbing the behavior, and when the counted number of vehicles 100 is greater than a certain number, the information of the caution point is deleted. On the other hand, for example, the processing device 210 may count the ratio of the number of vehicles 100 that have passed the caution point without sending the caution information to the data center to the total number of vehicles 100 that have passed each caution point at regular intervals. Furthermore, when the counted ratio is less than a certain ratio, the information of the caution point stored in the storage device 220 may be deleted.

[0086] The steps included in the above-mentioned safe driving assistance method are not limited in order. If the above-mentioned safe driving assistance method can be implemented, the order of the steps may be changed. For example, the processing of the above-mentioned second step may be performed before the processing device 210 performs the processing of the above-mentioned first step.

Claims

1. A safe driving assistance system, wherein: It is a safe driving assistance system that connects a data center and multiple vehicles via a communication network. The data center is equipped with a storage device and a processing device. The plurality of vehicles are provided with a detection device capable of detecting disordered behavior of the vehicle, a camera capable of capturing images in front of the vehicle, a navigation device, and a display device capable of displaying images. The processing device performs the following processing: receiving position information of the plurality of vehicles from the navigation devices of the plurality of vehicles; receiving data of images captured by the camera devices of the plurality of vehicles and storing the data in the storage device; determining the position of the first vehicle when the attention information is received from the first vehicle based on the position information of the first vehicle detected by the detection device among the plurality of vehicles as having disorderly behavior, and storing the position as an attention point in the storage device; When the caution information is received, data of the caution image of the caution spot extracted from data of the image captured by the camera of the first vehicle during a certain period before the receipt of the caution information and stored in the storage device is stored in the storage device; as well as transmitting the data of the attention image stored in the storage device to a second vehicle among the plurality of vehicles that is approaching the attention point stored in the storage device, The display device of the second vehicle that has received the data of the caution image displays the caution image before the second vehicle reaches the caution point to provide a caution reminder.

2. The safe driving assistance system according to claim 1, wherein: When the attention reminder is provided by playing the dynamic image of the attention image through the display device of the second vehicle, the playback speed of the attention image is adjusted according to the speed of the second vehicle so as to display the image captured at the location where the second vehicle arrives after a predetermined time.

3. The safe driving assistance system according to claim 1, wherein: The processing device performs: causing the storage device to store data on a plurality of the caution images of the same caution point identified based on position information received from the navigation devices of a plurality of the first vehicles; and The data of the warning image to be transmitted to the second vehicle is selected from the data of the plurality of warning images regarding the same warning point stored in the storage device, and the data of the warning image to be transmitted to the second vehicle is updated.

4. The safe driving assistance system according to claim 3, wherein: The processing device counts the number of vehicles that have passed the caution point without transmitting the caution information to the data center, and deletes information on the caution point for which the counted number is equal to or greater than a certain number from the storage device.

5. A safe driving assistance method, wherein: A safe driving assistance method in a safe driving assistance system in which a data center and a plurality of vehicles are connected via a communication network. The data center is equipped with a storage device and a processing device. The plurality of vehicles are provided with a detection device capable of detecting disordered behavior of the vehicle, a camera capable of capturing images in front of the vehicle, a navigation device, and a display device capable of displaying images. The safe driving assistance method comprises: In step 1, the processing device receives position information of the plurality of vehicles from the navigation devices of the plurality of vehicles; In step 2, the processing device receives the data of the images captured by the camera devices of the plurality of vehicles and stores the data in the storage device; In step 3, the processing device determines the position of the first vehicle when the attention information is received from the first vehicle based on the position information of the first vehicle detected by the detection device among the plurality of vehicles as having disordered behavior, and stores the position as an attention point in the storage device; In step 4, when the processing device receives the caution information, the processing device causes the storage device to store data of the caution image of the caution location extracted from the data of the image captured by the camera of the first vehicle during a certain period of time before receiving the caution information. In a fifth step, the processing device transmits the data of the attention image stored in the storage device to a second vehicle among the plurality of vehicles that is approaching the attention point stored in the storage device; and In a sixth step, the display device of the second vehicle displays the caution image before the second vehicle reaches the caution point to provide a caution.

Images