Information processing device

The information processing device predicts occupant falling risks by comparing their direction with vehicle sway, providing alerts and adjustments to prevent falls, addressing the variability of falling risks due to vehicle rocking.

JP2025121750APending Publication Date: 2025-08-20TOYOTA JIDOSHA KK
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Patent Information

Application Number
JP2024017423
Authority / Receiving Office
JP · JP
Patent Type
Applications
Current Assignee / Owner
Filing Date
2024-02-07
Publication Date
2025-08-20

AI Technical Summary

Technical Problem

The risk of an occupant falling over in a vehicle varies depending on the direction of vehicle rocking, which existing systems fail to predict effectively.

Method used

An information processing device with a control unit that compares the forward/backward direction of an occupant with the swaying direction of the vehicle to predict the risk of falling, using sensors and cameras to detect occupant and vehicle movements, and alerts or adjusts vehicle operations accordingly.

Benefits of technology

Accurately predicts the risk of occupants falling based on vehicle rocking direction, enabling proactive alerts and adjustments to prevent falls and ensure safe vehicle operation.

✦ Generated by Eureka AI based on patent content.

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Abstract

To predict a risk of a crew member who inverts depending on an oscillation direction of a vehicle since the inverting risk of the crew member varies depending on the oscillation direction the vehicle oscillates when the crew member is standing and riding in the vehicle.SOLUTION: In a vehicle, an on-vehicle appliance which is an information processing device comprises a control unit. When detecting a crew member who is standing in the vehicle, the control unit predicts an inversion risk of the crew member who is inverting on the basis of a result of comparing a forward / backward direction of the crew member with an oscillation direction of the crew member.SELECTED DRAWING: Figure 1
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Description

[Technical Field]

[0001] The present disclosure relates to an information processing device. [Background technology]

[0002] Conventionally, a vehicle sway prediction system is known that predicts vehicle sway that will occur when the vehicle travels on a road ahead and causes a notification device to issue a notification that vehicle sway is predicted (Patent Document 1). [Prior art documents] [Patent documents]

[0003] [Patent Document 1] International Publication No. 2021 / 084685 Summary of the Invention [Problem to be solved by the invention]

[0004] There are cases where an occupant gets into a vehicle in a standing position. When an occupant gets into a vehicle in a standing position, the risk of the occupant falling over varies depending on the direction in which the vehicle rocks. It would be useful if the risk of the occupant falling over could be predicted depending on the direction in which the vehicle rocks.

[0005] In view of the above, an object of the present disclosure is to predict the risk of an occupant falling depending on the direction of rocking of the vehicle. [Means for solving the problem]

[0006] An information processing device according to one embodiment of the present disclosure includes a control unit that, when it detects an occupant standing in a vehicle, predicts the risk of the occupant falling based on the result of comparing the forward / backward direction of the occupant with the swaying direction of the vehicle. [Effects of the Invention]

[0007] According to one embodiment of the present disclosure, it is possible to predict the risk of an occupant falling depending on the direction of vehicle rocking. [Brief explanation of the drawings]

[0008] [Figure 1] 1 is a block diagram showing a schematic configuration of a vehicle according to an embodiment of the present disclosure. [Figure 2] FIG. 2 is a diagram showing an example of the interior of the vehicle shown in FIG. [Figure 3] 2 is a flowchart showing an example of a procedure for the vehicle shown in FIG. 1. DETAILED DESCRIPTION OF THE INVENTION

[0009] Hereinafter, embodiments of the present disclosure will be described with reference to the drawings.

[0010] (Vehicle configuration) 1, a vehicle 1 according to this embodiment includes an on-board device 10, a detection mat 20, a camera 30, a reading device 40, a speaker 50, display devices 60 and 61, an automatic driving system 70, a strap 80, and a handrail 90. These components can communicate with each other via an on-board network such as a CAN (Controller Area Network), a dedicated line, or short-range wireless communication.

[0011] The in-vehicle device 10 is an information processing device. The in-vehicle device 10 is mounted on a vehicle 1. As will be described later, the in-vehicle device 10 can predict the risk of occupants 2 and 3 standing in the vehicle 1, as shown in FIG. 2, falling.

[0012] The in-vehicle device 10 includes a communication unit 11, a vibration sensor 12, an acceleration sensor 13, a storage unit 14, and a control unit 15.

[0013] The communication unit 11 includes at least one communication module capable of communicating with components of the vehicle 1. The communication module is a communication module that complies with the standards of an in-vehicle network such as CAN, a dedicated line, or short-range wireless communication.

[0014] The communication unit 11 includes at least one communication module capable of communicating with other vehicles. The communication module complies with the standards for vehicle-to-vehicle communication or road-to-vehicle communication.

[0015] The vibration sensor 12 detects the vibration direction in which the in-vehicle device 10 vibrates. In this embodiment, the vibration sensor 12 detects the vibration direction in which the vehicle 1 vibrates as a result of the in-vehicle device 10 being mounted on the vehicle 1. The vibration sensor 12 outputs the detection result of the vibration direction of the vehicle 1 to the control unit 15.

[0016] The acceleration sensor 13 detects acceleration acting on the in-vehicle device 10. In this embodiment, the acceleration sensor 13 detects acceleration acting on the vehicle 1 as a result of the in-vehicle device 10 being mounted on the vehicle 1. The acceleration sensor 13 outputs the detection result of the acceleration of the vehicle 1 to the control unit 15.

[0017] The storage unit 14 includes at least one semiconductor memory, at least one magnetic memory, at least one optical memory, or a combination of at least two of these. The semiconductor memory may be, for example, a random access memory (RAM) or a read-only memory (ROM). The RAM may be, for example, a static random access memory (SRAM) or a dynamic random access memory (DRAM). The ROM may be, for example, an electrically erasable programmable read-only memory (EEPROM). The storage unit 14 may function as a main storage device, an auxiliary storage device, or a cache memory. The storage unit 14 stores data used in the operation of the in-vehicle device 10 and data obtained by the operation of the in-vehicle device 10. The storage unit 14 may store any program used in the operation of the in-vehicle device 10. For example, the storage unit 14 stores at least one of a system program, an application program, and embedded software.

[0018] The control unit 15 is configured to include at least one processor, at least one dedicated circuit, or a combination of these. The processor is, for example, a general-purpose processor such as a CPU (Central Processing Unit) or a GPU (Graphics Processing Unit), or a dedicated processor specialized for a specific process. The dedicated circuit is, for example, an FPGA (Field-Programmable Gate Array) or an ASIC (Application Specific Integrated Circuit). The control unit 15 controls each part of the in-vehicle device 10 and executes processes related to the operation of the in-vehicle device 10.

[0019] As shown in FIG. 2 , the detection mat 20 is placed on the floor inside the vehicle 1. The detection mat 20 is configured to include, for example, a plurality of pressure sensors arranged in a grid pattern. The detection mat 20 detects the magnitude of pressure acting on itself and the position of the pressure acting on itself. The detection mat 20 detects the magnitude of pressure acting on the floor inside the vehicle 1 and the position of the pressure acting on the floor by detecting the magnitude of pressure acting on itself and the position of the pressure acting on itself. The detection mat 20 transmits the detection result of the pressure acting on the floor inside the vehicle 1 to the in-vehicle device 10.

[0020] 2, the camera 30 is disposed inside the vehicle 1. The camera 30 captures an image of the scenery inside the vehicle 1 and generates an image. The camera 30 transmits data of the generated image to the in-vehicle device 10.

[0021] As shown in FIG. 2 , reading device 40 is placed near the entrance / exit of vehicle 1. When a passenger gets on or off vehicle 1, the passenger touches a contactless boarding card to the reading section of reading device 40. Reading device 40 reads the passenger information from the passenger's boarding card. Reading device 40 transmits the read passenger information to on-board device 10.

[0022] The speaker 50 is capable of outputting sound inside the vehicle 1. The speaker 50 outputs sound inside the vehicle 1 based on a control signal received from the in-vehicle device 10.

[0023] The display devices 60 and 61 are configured to include a display. The display is, for example, an LCD (Liquid Crystal Display) or an organic EL (Electro Luminescence) display. The display device 60 is disposed inside the vehicle 1 as shown in FIG. 2 . The display device 61 is attached to the outside of the vehicle 1. The display devices 60 and 61 display images based on a control signal received from the in-vehicle device 10.

[0024] The automated driving system 70 is a system for automated driving of the vehicle 1. The level of automated driving of the vehicle 1 may be arbitrary.

[0025] 2, the strap 80 is attached to the ceiling of the vehicle 1. The strap 80 includes a grip sensor 81, a vibration unit 82, and a light-emitting unit 83. The strap 80 may include only one of the vibration unit 82 and the light-emitting unit 83.

[0026] The grip sensor 81 includes, for example, a pressure sensor. The grip sensor 81 detects the gripping force of the occupant gripping the strap 80. The grip sensor 81 transmits the detection result of the gripping force of the occupant to the in-vehicle device 10.

[0027] The vibration unit 82 is configured to include, for example, a vibration element. The vibration unit 82 vibrates based on a control signal received from the in-vehicle device 10. When the vibration unit 82 vibrates, the strap 80 vibrates. The vibration of the strap 80 can attract the attention of a passenger holding the strap 80.

[0028] The light emitting unit 83 is configured to include, for example, a light emitting element. The light emitting unit 83 emits light based on a control signal received from the in-vehicle device 10. When the light emitting unit 83 emits light, the strap 80 emits light. The light emitted by the strap 80 can attract the attention of a passenger holding the strap 80.

[0029] 2, the handrail 90 is attached inside the vehicle 1. The handrail 90 includes a grip sensor 91, a vibration unit 92, and a light-emitting unit 93. The handrail 90 may include only one of the vibration unit 92 and the light-emitting unit 93.

[0030] The grip sensor 91 includes, for example, a pressure sensor. The grip sensor 91 detects the gripping force of the occupant gripping the handrail 90. The grip sensor 91 transmits the detection result of the gripping force of the occupant to the in-vehicle device 10.

[0031] The vibration unit 92 is configured to include, for example, a vibration element. The vibration unit 92 vibrates based on a control signal received from the in-vehicle device 10. When the vibration unit 92 vibrates, the handrail 90 vibrates. The vibration of the handrail 90 can attract the attention of an occupant holding the handrail 90.

[0032] The light-emitting unit 93 is configured to include, for example, a light-emitting element. The light-emitting unit 93 emits light based on a control signal received from the in-vehicle device 10. When the light-emitting unit 93 emits light, the handrail 90 emits light. The handrail 90 emitting light can attract the attention of an occupant holding onto the handrail 90.

[0033] (Vehicle operation) Fig. 3 is a flowchart showing an example of a procedure of the vehicle 1 shown in Fig. 1. For example, when the ignition of the vehicle 1 is turned on, the control unit 15 of the in-vehicle device 10 starts the process of S1.

[0034] In the process of S1, the control unit 15 determines whether or not a standing occupant is detected inside the vehicle 1. As one example, the control unit 15 receives a detection result of pressure applied to the floor inside the vehicle 1 from the detection mat 20 via the communication unit 11. The control unit 15 determines whether or not a standing occupant is detected inside the vehicle 1 based on the detection result of pressure applied to the floor inside the vehicle 1. As another example, the control unit 15 receives video data of the inside of the vehicle 1 from the camera 30. The control unit 15 analyzes the received video data to determine whether or not a standing occupant is detected inside the vehicle 1.

[0035] When the control unit 15 determines that a standing occupant is detected in the vehicle 1 (S1: YES), the control unit 15 proceeds to the process of S2. For example, in FIG. 2, the control unit 15 determines that a standing occupant 2 or 3 is detected in the vehicle 1. On the other hand, when the control unit 15 does not determine that a standing occupant is detected in the vehicle 1 (S1: NO), the control unit 15 executes the process of S1 again.

[0036] In the process of S2, the control unit 15 predicts the risk of a occupant standing in the vehicle 1 falling over. Generally, a person standing can withstand lateral shaking relatively well. However, a person standing often cannot withstand longitudinal shaking and falls over. Therefore, in this embodiment, the control unit 15 predicts the risk of a fall based on the result of comparing the longitudinal direction of the standing occupant with the rocking direction of the vehicle 1.

[0037] The control unit 15 may detect the front-rear direction of the occupant using any method. As one example, the control unit 15 may receive image data of the interior of the vehicle 1 from the camera 30 via the communication unit 11 and determine the front-rear direction of the occupant by analyzing the received image data. As another example, the control unit 15 may receive a detection result of pressure applied to the floor inside the vehicle 1 from the detection mat 20 via the communication unit 11 and detect the direction in which the toes of the occupant are pointing based on the received detection result of pressure applied to the floor inside the vehicle 1. The control unit 15 may determine the front-rear direction of the occupant by detecting the direction in which the toes of the occupant are pointing. For example, in FIG. 2 , the control unit 15 determines that the front-rear direction of occupant 2 is direction D1. Direction D1 is the traveling direction of the vehicle 1. Furthermore, the control unit 15 determines that the front-rear direction of occupant 3 is direction D2. Direction D2 is a direction perpendicular to the traveling direction of the vehicle 1.

[0038] The control unit 15 may detect the rocking direction of the vehicle 1 by any method. As an example, the control unit 15 may detect the rocking direction of the vehicle 1 by detecting the vibration direction of the vehicle 1 based on the detection result of the vibration sensor 12. Instead of detecting the rocking direction of the vehicle 1, the control unit 15 may receive the rocking direction of the vehicle 1 from the autonomous driving system 70 via the communication unit 11.

[0039] As an example of the processing of S2, the control unit 15 predicts that when the front-rear direction of the occupant and the rocking direction of the vehicle 1 coincide, the risk of the occupant falling will be higher than when the front-rear direction of the occupant and the rocking direction of the vehicle 1 do not coincide. For example, in FIG. 2, the rocking direction of the vehicle 1 is direction D1. In this case, the front-rear direction of the occupant 2 and the rocking direction of the vehicle 1 coincide. Therefore, in the case of occupant 2, the control unit 15 predicts that the risk of the occupant 2 falling will be higher than when the occupant 2 is facing in direction D2. In contrast, the front-rear direction of the occupant 3 and the rocking direction of the vehicle 1 do not coincide. Therefore, in the case of occupant 3, the control unit 15 predicts that the risk of the occupant 3 falling will be lower than when the occupant 3 is facing in direction D1.

[0040] As another example of the process of S2, the control unit 15 acquires data on the physical characteristics of the occupant. The data on the physical characteristics of the occupant may be, for example, the occupant's gender, age, body type, or grip strength. The control unit 15 may receive occupant information read from the occupant's boarding card by the reading device 40 via the communication unit 11 from the reading device 40. The received occupant information may include information such as the occupant's gender or age. The control unit 15 may also acquire data on the occupant's physical characteristics by receiving video data of the interior of the vehicle 1 from the camera 30 and analyzing the received video data. The control unit 15 may also acquire data on the occupant's grip strength by receiving, via the communication unit 11, the detection result of the occupant's grip strength by the grip sensor 81 from the strap 80. The control unit 15 predicts the risk of falling based on the result of comparing the occupant's forward / backward direction with the rocking direction of the vehicle 1 and the acquired data on the occupant's physical characteristics. For example, when an elderly woman and a young woman are standing facing the same direction, the control unit 15 predicts that the elderly woman has a higher risk of falling than the young woman. By using the data on the physical characteristics of the occupants in this way, the risk of the occupants falling can be predicted with higher accuracy.

[0041] As yet another example of the process of S2, the control unit 15 detects the swaying acceleration of the vehicle 1. For example, the control unit 15 receives the acceleration detection result of the vehicle 1 from the acceleration sensor 13 via the communication unit 11, thereby receiving acceleration data of the vehicle 1. The control unit 15 detects the swaying acceleration of the vehicle 1 based on the received acceleration data of the vehicle 1 and the detected swaying direction of the vehicle 1. Furthermore, the control unit 15 predicts the risk of the occupant falling based on the result of comparing the front-rear direction of the occupant with the swaying direction of the vehicle 1 and the detected swaying acceleration of the vehicle 1. For example, when the swaying acceleration of the vehicle 1 is large, the control unit 15 predicts that the risk of falling will be higher than when the swaying acceleration of the vehicle 1 is small. By using the swaying acceleration of the vehicle 1 in this way, the risk of the occupant falling can be predicted with higher accuracy.

[0042] In the process of S3, the control unit 15 determines whether the risk of the occupant falling predicted in the process of S2 is equal to or greater than a threshold. The threshold may be set depending on the manner in which the vehicle 1 is used. If the control unit 15 determines that the risk of the occupant falling is equal to or greater than the threshold (S3: YES), the control unit 15 proceeds to the process of S4. If the control unit 15 determines that the risk of the occupant falling is below the threshold (S3: NO), the control unit 15 proceeds to the process of S5.

[0043] In the process of S4, the control unit 15 executes a process of calling the attention of an occupant whose risk of falling is equal to or greater than a threshold value to avoid falling.

[0044] As an example of the processing of S4, the control unit 15 causes the speaker 50 to output an audio announcement to warn the occupants not to fall by transmitting a control signal to the speaker 50 via the communication unit 11. With this configuration, an audio announcement to warn the occupants not to fall can be output inside the vehicle 1. By outputting an audio announcement to warn the occupants not to fall inside the vehicle 1 in this way, it is possible to warn all occupants not to fall. By warning all occupants not to fall, it is possible to warn not only occupants not to fall but also occupants not to fall.

[0045] As another example of the processing of S4, the control unit 15 causes the display device 60 to display an image for alerting the occupants to the risk of falling, by transmitting a control signal to the display device 60 via the communication unit 11. As described above, the display device 60 is disposed inside the vehicle 1, as shown in FIG. 2 . By causing the display device 60 to display an image for alerting the occupants to the risk of falling, it is possible to alert all occupants inside the vehicle 1 to the risk of falling. By alerting all occupants inside the vehicle 1 to the risk of falling, it is possible to alert not only occupants with a high risk of falling but also occupants with a low risk of falling to the risk of falling.

[0046] As yet another example of the processing of S4, the control unit 15 may vibrate, light up, or vibrate and light up the hanging strap 80 that is within a predetermined range from the occupant whose risk of falling is equal to or greater than the threshold. The predetermined range may be set according to the capacity of the vehicle 1 and the placement position of the hanging strap 80. The control unit 15 may vibrate the vibration unit 82, light up the light-emitting unit 83, or vibrate the vibration unit 82 and light up the light-emitting unit 83 by transmitting a control signal to the hanging strap 80 via the communication unit 11. In this way, by vibrating the hanging strap 80 that is within a predetermined range from the occupant whose risk of falling is equal to or greater than the threshold, it is possible to efficiently alert the occupant whose risk of falling is equal to or greater than the threshold to the risk of falling.

[0047] As yet another example of the processing of S4, the control unit 15 may vibrate, light up, or vibrate and light up handrails 90 that are within a predetermined range of an occupant whose risk of falling is equal to or greater than the threshold. The predetermined range may be set according to the capacity of the vehicle 1 and the location of the handrails 90. The control unit 15 may vibrate the vibration unit 92, light up the light-emitting unit 93, or vibrate the vibration unit 92 and light up the light-emitting unit 93 by transmitting a control signal to the handrail 90 via the communication unit 11. In this way, by vibrating or otherwise causing the handrails 90 that are within a predetermined range of an occupant whose risk of falling is equal to or greater than the threshold, it is possible to efficiently alert occupants whose risk of falling is equal to or greater than the threshold to the risk of falling.

[0048] As yet another example of the process of S4, when an occupant whose risk of falling is equal to or greater than a threshold is wearing a wearable device, the control unit 15 may transmit a signal to the wearable device via the communication unit 11 to warn the occupant about falling. The wearable device may be, for example, a glasses-type, wristwatch-type, shoe-type, or earphone-type wearable device. With this configuration, when the occupant's wearable device receives the signal to warn the occupant about falling, it can execute a process to warn the occupant about falling. For example, if the wearable device is a glasses-type wearable device, it can display an image on the glasses to warn the occupant about falling.

[0049] In the process of S5, the control unit 15 determines whether or not the process of S2 has been executed for all the standing passengers detected in the process of S1. If the control unit 15 determines that the process of S2 has been executed for all the standing passengers (S5: YES), the control unit 15 proceeds to the process of S6. If the control unit 15 does not determine that the process of S2 has been executed for all the standing passengers (S5: NO), the control unit 15 returns to the process of S2.

[0050] In the process of S6, the control unit 15 detects the position information of the occupant who is standing and who was detected in the process of S1. As one example, the control unit 15 receives the detection result of the pressure applied to the floor inside the vehicle 1 from the detection mat 20 via the communication unit 11, and detects the position information of the occupant who is standing based on the received detection result of the pressure applied to the floor inside the vehicle 1. As another example, the control unit 15 receives video data of the interior of the vehicle 1 from the camera 30 via the communication unit 11, and detects the position information of the occupant who is standing by analyzing the received video data.

[0051] In the process of S7, the control unit 15 generates a two-dimensional map. The two-dimensional map associates the position of a standing occupant on the interior floor of the vehicle 1 with the risk of the occupant falling. The control unit 15 generates the two-dimensional map based on the position information of the standing occupant detected in the process of S6 and the risk of the occupant falling predicted in the process of S2. The two-dimensional map may be associated with all of the fall risks predicted in the process of S2, or may be associated with some of the fall risks predicted in the process of S2. The two-dimensional map may be associated with fall risks that are equal to or greater than the above-mentioned threshold, out of the fall risks predicted in the process of S2.

[0052] By generating a two-dimensional map in this way through the process of S7, the position of the standing occupant can be detected, and with this configuration, it is possible to determine whether there is a dangerous object in front of the occupant's head if the occupant falls.

[0053] In the processing of S8, the control unit 15 receives the detection result of the grip force of the occupant by the grip sensor 81 from the strap 80 via the communication unit 11. The control unit 15 receives the detection result of the grip force of the occupant by the grip sensor 91 from the handrail 90 via the communication unit 11.

[0054] In the process of S9, the control unit 15 provides at least one of the two-dimensional map generated in the process of S7 and the detection result of the occupant's grip force detected in the process of S8 to the automated driving system 70. In this embodiment, the control unit 15 provides at least one of the two-dimensional map and the detection result of the occupant's grip force to the automated driving system 70 by transmitting them to the automated driving system 70 via the communication unit 11.

[0055] In this way, by providing the two-dimensional map to the automated driving system 70 by the processing of S9, the automated driving system 70 can automatically drive the vehicle 1 while taking into consideration the position of the occupant associated with the two-dimensional map and the risk of the occupant falling. For example, the automated driving system 70 can automatically drive the vehicle 1 while adjusting the acceleration of the vehicle 1 to adjust the gravitational acceleration acting on the occupant while taking into consideration the risk of the occupant falling.

[0056] In this way, the occupant's gripping force is provided to the automatic driving system 70 in the processing of S9, so that the automatic driving system 70 can automatically drive the vehicle 1 while taking into account the occupant's gripping force. For example, the automatic driving system 70 can determine an upper limit value for the acceleration of the vehicle 1 based on the occupant's gripping force, and automatically drive the vehicle 1 so that the acceleration does not exceed the determined upper limit value.

[0057] In the process of S9, the control unit 15 may provide at least one of the two-dimensional map generated in the process of S7 and the detection result of the occupant's grip force detected in the process of S8 to any terminal device inside the vehicle 1. The control unit 15 may provide at least one of the two-dimensional map and the detection result of the occupant's grip force by transmitting them to the terminal device via the communication unit 11. For example, the driver or conductor of the vehicle 1 may use a terminal device to drive or manage the vehicle 1. In this case, the control unit 15 may provide at least one of the two-dimensional map and the detection result of the occupant's grip force to the terminal device. By providing the two-dimensional map to the terminal device, the driver or conductor can view the two-dimensional map via the terminal device. The driver or conductor can drive the vehicle 1 or support the occupant while taking into account the position of the occupant associated with the two-dimensional map and the risk of the occupant falling. For example, the driver or conductor can grasp the position of a standing passenger on board and check whether there is a dangerous object in the passenger's head if the passenger falls. Also, by providing the detection result of the passenger's grip force to the terminal device, the driver or conductor can grasp the detection result of the passenger's grip force via the terminal device. The driver or conductor can drive the vehicle 1 or support the passenger while taking the passenger's grip force into consideration.

[0058] In the processing of S10, the control unit 15 executes processing to alert people outside the vehicle 1 about the driving of the vehicle 1. When there is a high risk of an occupant falling, the autonomous driving system 70 or the driver often starts or decelerates the vehicle 1 slowly to prevent a standing occupant from falling. If the vehicle 1 starts or decelerates slowly, people around the vehicle 1 or other vehicles may be inconvenienced. Therefore, the control unit 15 executes processing to alert people outside the vehicle 1 about the driving of the vehicle 1. With this configuration, people around the vehicle 1 or drivers of other vehicles can pay attention to the driving of the vehicle 1, thereby reducing the possibility of being inconvenienced even if the vehicle 1 starts or decelerates slowly.

[0059] As an example of the processing of S10, the control unit 15 transmits a control signal to the display device 61 via the communication unit 11, thereby causing the display device 61 to display an image that calls attention to the driving of the vehicle 1. As described above, the display device 61 is attached to the outside of the vehicle 1. By displaying an image that calls attention to the driving of the vehicle 1 on the display device 61, people or other vehicles around the vehicle 1 can pay attention to the driving of the vehicle 1, and therefore the possibility of being inconvenienced by the vehicle 1 starting or decelerating slowly is reduced.

[0060] As another example of the processing of S10, the control unit 15 transmits a signal to other vehicles via vehicle-to-vehicle communication, by the communication unit 11, to call attention to the driving of the vehicle 1. By transmitting a signal to other vehicles to call attention to the driving of the vehicle 1, the drivers of the other vehicles can pay attention to the driving of the vehicle 1, and therefore the possibility of being inconvenienced by the vehicle 1 starting or decelerating slowly is reduced.

[0061] After the process of S10, the control unit 15 returns to the process of S1. If the ignition of the vehicle 1 is turned off while the processes of S1 to S10 are being executed, the process shown in FIG.

[0062] In the case where the processing of S2 and S6 uses data of the image of the interior of the vehicle 1, the control unit 15 may have received data of the image of the interior of the vehicle 1 from the camera 30 in the processing of S1. In this case, the control unit 15 may use the data of the image of the interior of the vehicle 1 received in the processing of S1 in the processing of S2 and S6.

[0063] There are cases where the detection result of the pressure on the floor inside the vehicle 1 is used in the processing of S2 and S6, and the control unit 15 has received the detection result of the pressure on the floor inside the vehicle 1 from the detection mat 20 in the processing of S1. In this case, the control unit 15 may use the detection result of the pressure on the floor inside the vehicle 1 received in the processing of S1 in the processing of S2 and S6.

[0064] In the process of S4, when an audio announcement for alerting occupants to the risk of falling is output from the speaker 50 or an image for alerting occupants to the risk of falling is displayed on the display device 60 as described above, the control unit 15 may execute the process of S4 after the process of S5. That is, when the control unit 15 determines that the process of S2 has been executed for all occupants who are standing and riding in the vehicle (S5: YES), the control unit 15 may execute the process of S4 by outputting an audio announcement for alerting occupants to the risk of falling from the speaker 50. When the control unit 15 determines that the process of S2 has been executed for all occupants who are standing and riding in the vehicle (S5: YES), the control unit 15 may execute the process of S4 by displaying an image for alerting occupants to the risk of falling on the display device 60.

[0065] Regarding the processes of S6 and S7, the control unit 15 may execute the processes of S6 and S7 even if there is no occupant whose fall risk is equal to or greater than the threshold among the standing occupants detected in the process of S1 (S3: NO). In other words, if the control unit 15 predicts the fall risk of a standing occupant falling in the process of S2, it may generate a two-dimensional map regardless of the process result of S3.

[0066] As described above, in the in-vehicle device 10 according to this embodiment, when the control unit 15 detects an occupant standing in the vehicle 1, the control unit 15 predicts the risk of the occupant tipping over based on the result of comparing the fore-and-aft direction of the occupant with the rocking direction of the vehicle 1. As described above, a person in a standing position can generally withstand rocking that occurs in the lateral direction of the person. However, a person in a standing position often cannot withstand rocking that occurs in the fore-and-aft direction of the person and ends up tipping over. Therefore, the risk of tipping over can be predicted based on the result of comparing the fore-and-aft direction of the standing occupant with the rocking direction of the vehicle 1. Therefore, according to this embodiment, the risk of the occupant tipping over can be predicted depending on the rocking direction of the vehicle 1.

[0067] Although the present disclosure has been described based on the drawings and examples, it should be noted that those skilled in the art may make various modifications and alterations based on the present disclosure. Therefore, it should be noted that these modifications and alterations are included in the scope of the present disclosure. For example, the functions included in each component or step can be rearranged so as not to be logically inconsistent, and multiple components or steps can be combined or divided into one.

[0068] For example, in the above-described embodiment, the in-vehicle device 10 has been described as an information processing device that executes various processes. However, any information processing device may execute the various processes of the in-vehicle device 10 according to the present embodiment. For example, a server may execute the various processes of the in-vehicle device 10 according to the present embodiment. In this case, the in-vehicle device 10 may be configured to be able to communicate with the server via a network.

[0069] For example, an embodiment is possible in which a general-purpose computer functions as the in-vehicle device 10 according to the above-described embodiment. Specifically, a program describing the processing content for realizing each function of the in-vehicle device 10 according to the above-described embodiment is stored in the memory of the general-purpose computer, and the program is read and executed by a processor. Therefore, the present disclosure can also be realized as a program executable by a processor or a non-transitory computer-readable medium storing the program. [Explanation of symbols]

[0070] 1: vehicle, 2, 3: occupant, 10: on-board equipment, 11: communication unit, 12: vibration sensor, 13: acceleration sensor, 14: memory unit, 15: control unit, 20: detection mat, 30: camera, 40: reading device, 50: speaker, 60, 61: display device, 70: autonomous driving system, 80: strap, 81: grip sensor, 82: vibration unit, 83: light-emitting unit, 90: handrail, 91: grip sensor, 92: vibration unit, 93: light-emitting unit

Claims

1. An information processing device that includes a control unit that, when an occupant standing in a vehicle is detected, predicts the risk of the occupant falling based on the result of comparing the forward / backward direction of the occupant with the swaying direction of the vehicle.

2. 2. The information processing device according to claim 1, wherein the control unit predicts that the risk of tipping over is higher when the fore-and-aft direction of the occupant and the swaying direction of the vehicle coincide with each other than when the fore-and-aft direction of the occupant and the swaying direction of the vehicle do not coincide with each other.

3. The control unit acquiring data on the physical characteristics of the occupant; The information processing device according to claim 1 , wherein the risk of tipping over is predicted based on a result of comparing the front-to-rear direction of the occupant with the rocking direction of the vehicle and on acquired data on the physical characteristics of the occupant.

4. The information processing device according to claim 1 , wherein the control unit is configured to execute a process for urging the occupant to be careful of tipping over when the tipping risk is equal to or greater than a threshold value.

5. The control unit generates a two-dimensional map; The information processing device according to claim 1 , wherein the two-dimensional map associates the position of the standing occupant on the floor of the vehicle with the risk of the occupant falling.

Citation Information

Patent Citations

  • Vehicle sway prediction system

    WO2021084685A1