Driving support device and driving support method

The driving assistance device addresses the challenge of electric scooters tipping over from passing winds by predicting and notifying users of potential hazards, enhancing safety through sensor-based wind prediction and alert systems.

JP2025147894APending Publication Date: 2025-10-07JVC KENWOOD CORP
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Patent Information

Application Number
JP2024048393
Authority / Receiving Office
JP · JP
Patent Type
Applications
Current Assignee / Owner
Filing Date
2024-03-25
Publication Date
2025-10-07

AI Technical Summary

Technical Problem

Electric scooters, lacking rearview mirrors, face difficulty in seeing vehicles behind them, making safe travel challenging due to the risk of tipping over from passing winds.

Method used

A driving assistance device that includes sensors, cameras, and a control unit to predict the strength of passing winds based on vehicle speed, driver information, and environmental conditions, and notifies the user of potential tipping risks.

Benefits of technology

Enhances the safety of electric scooters and similar vehicles by predicting and alerting users to potential overturning hazards from passing winds, promoting safer travel.

✦ Generated by Eureka AI based on patent content.

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Abstract

To support safe riding of bicycles or electric scooter.SOLUTION: A driving support device 1 includes: a wind pressure information storage unit 13 that stores wind pressure information indicating the strength of passing wind generated when a moving vehicle passes another vehicle, corresponding to physical information of the moving vehicle's driver and the speed of the moving vehicle; an other vehicle travel Information acquisition unit 21 that acquires other vehicle travel information indicating the speed of other vehicles; a moving vehicle information acquisition unit 24 that acquires moving vehicle information indicating the speed of the moving vehicle; a driver information acquisition unit 25 that acquires driver information of a driver of the moving vehicle; an other vehicle recognition unit 23 that recognizes other vehicles; a prediction unit 31 that predicts the strength of the passing wind received from an approaching other vehicles within a predetermined distance before the moving vehicle passes the other vehicles, based on the other vehicle travel information, the moving vehicle information, and the recognition result of the other vehicles; a determination unit 32 that determines the possibility of the moving vehicle tipping over; and a notification control unit 39 that notifies the driver of the moving vehicle of the predicted result of the passing wind.SELECTED DRAWING: Figure 1
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Description

[Technical Field]

[0001] The present invention relates to a driving assistance device and a driving assistance method. [Background technology]

[0002] There is known a technology relating to a vehicle control device that, when the wind speed at the traveling location of the vehicle is equal to or greater than a predetermined value, suppresses the automatic overtaking of the preceding vehicle (see, for example, Patent Document 1). [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Japanese Patent Publication No. 2021-014194 Summary of the Invention [Problem to be solved by the invention]

[0004] In recent years, roads have been painted to indicate bicycles and electric scooters are increasingly being used on roads. However, it is particularly difficult for electric scooters, which are not required to be equipped with rearview mirrors, to see vehicles behind them.

[0005] The present disclosure has been made in consideration of the above, and aims to support the safe traveling of moving objects such as bicycles or electric kick scooters. [Means for solving the problem]

[0006] In order to solve the above-mentioned problems and achieve the object, a driving assistance device according to the present disclosure includes a wind pressure information storage unit that stores physical information indicating at least one of a height or a weight of a driver of a moving body, and wind pressure information that indicates the strength of a passing wind generated when the moving body passes another vehicle, which may lead to the moving body tipping over, corresponding to the speed of the moving body; an other vehicle driving information acquisition unit that acquires other vehicle driving information that indicates the speed of the other vehicle; a moving body information acquisition unit that acquires moving body information that indicates the speed of the moving body; and a driver information acquisition unit that acquires driver information that indicates at least one of a height or a weight of the driver of the moving body. The vehicle information processing device includes an other vehicle recognition unit that recognizes other vehicles around the moving body, a prediction unit that predicts the strength of passing wind that the moving body will receive from other vehicles approaching the moving body within a predetermined distance before passing the other vehicle based on the other vehicle driving information, the moving body information, and the recognition result of the other vehicle, a determination unit that determines the possibility of the moving body overturning based on the wind pressure information, the driver information, and the prediction result of the passing wind, and a notification control unit that notifies the driver of the moving body of the prediction result of the passing wind when the determination unit determines that there is a possibility of the moving body overturning.

[0007] The driving assistance method according to the present disclosure includes a wind pressure information storage step of storing driver information indicating at least one of the height or weight of a driver of a moving body and wind pressure information indicating the strength of a passing wind generated when the moving body passes another vehicle, which may lead to the moving body tipping over, in correspondence with the speed of the moving body; an other vehicle driving information acquisition step of acquiring other vehicle driving information indicating the speed of the other vehicle; a moving body information acquisition step of acquiring moving body information indicating the speed of the moving body; a driver information acquisition step of acquiring physical information indicating at least one of the height or weight of the driver of the moving body; and a method of recognizing the other vehicles around the moving body. a prediction step of predicting the strength of passing wind that the moving body will receive from another vehicle approaching the moving body within a predetermined distance before passing the other vehicle based on the other vehicle driving information, the moving body information, and the recognition result of the other vehicle; a determination step of determining the possibility of the moving body overturning based on the wind pressure information, the driver information, and the predicted result of the passing wind; and a notification control step of notifying the driver of the moving body of the predicted result of the passing wind if it is determined by the determination step that there is a possibility of the moving body overturning. [Effects of the Invention]

[0008] According to the present disclosure, it is possible to provide an effect of supporting the safe traveling of a moving body such as a bicycle or an electric kick scooter. [Brief explanation of the drawings]

[0009] [Figure 1] FIG. 1 is a block diagram showing an example of the configuration of a driving assistance device according to the first embodiment. [Figure 2] FIG. 2 is a schematic diagram showing wind that a moving body receives when passing another vehicle. [Figure 3] FIG. 3 is a flowchart showing the flow of processing in the control device according to the first embodiment. [Figure 4] FIG. 4 is a block diagram showing an example of the configuration of a driving assistance device according to the second embodiment. [Figure 5] FIG. 5 is a flowchart showing the flow of processing in the control device according to the second embodiment. [Figure 6] FIG. 6 is a block diagram showing an example of the configuration of a driving assistance device according to the third embodiment. [Figure 7] FIG. 7 is a flowchart showing the flow of processing in the control device according to the third embodiment. [Figure 8] FIG. 8 is a block diagram showing an example of the configuration of a driving assistance device according to the fourth embodiment. [Figure 9] FIG. 9 is a flowchart showing the flow of processing in the control device according to the fourth embodiment. DETAILED DESCRIPTION OF THE INVENTION

[0010] DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS An embodiment of a control device according to the present disclosure will be described in detail below with reference to the accompanying drawings. However, the present invention is not limited to the following embodiment.

[0011] [First embodiment] <Driving support device> 1 is a block diagram showing an example of the configuration of a driving support device according to a first embodiment. When it is determined that there is a possibility that a moving object may overturn due to a passing wind caused by the moving object passing another vehicle, the driving support device 1 notifies the driver of the moving object based on the prediction result of the passing wind.

[0012] The moving object is, for example, a bicycle or a specific small motorized bicycle such as an electric kick scooter. The moving object is a vehicle that may tip over due to the wind generated when passing another vehicle.

[0013] The other vehicle is, for example, an automobile.

[0014] The driving assistance device 1 may be implemented as, for example, a device with a safe driving assistance function that is pre-installed in a mobile body, a navigation device, a drive recorder, or as a function of an infotainment system. The driving assistance device 1 may also be implemented as a function of a portable device that is brought into the mobile body.

[0015] The driving assistance device 1 includes a sensor 11, a camera 12, a wind pressure information storage unit 13, a notification unit 19, and a control device 20.

[0016] The sensor 11 detects other vehicles around the moving body. More specifically, the sensor 11 detects other vehicles around the moving body and acquires sensor data capable of measuring the distance to the other vehicles and the speed of the other vehicles. The sensor 11 is, for example, a LiDAR (Light Detecting and Ranging), a millimeter-wave radar, an infrared sensor, or the like. The sensor 11 outputs the sensor data to the other vehicle travel information acquisition unit 21 of the control device 20. Note that the class of the other vehicles may be determined based on the size of the detection area of ​​the surrounding other vehicles that occupies within the detection area of ​​the sensor 11.

[0017] Camera 12 captures video of the periphery of the moving object. Camera 12 can capture, for example, video of another vehicle approaching from the front of the moving object. Camera 12 is configured, for example, as a visible light camera or a near-infrared camera. Camera 12 may also be configured, for example, as a combination of a visible light camera and a near-infrared camera. Camera 12 constantly captures video from the time the engine starts until it stops, that is, while the moving object is in operation. Camera 12 outputs the captured video to video acquisition unit 22 of control device 20.

[0018] The wind pressure information storage unit 13 is a storage device that stores wind pressure information. The wind pressure information storage unit 13 may be a storage device such as an external server that acquires wind pressure information via a communication function.

[0019] The wind pressure information is information that indicates the strength of the passing wind (overturn threshold) that occurs when a moving body passes another vehicle and leads to the moving body overturning, in accordance with physical information that indicates at least one of the height or weight of the driver of the moving body and the speed of the moving body. The wind pressure information is information that indicates the strength of the passing wind that will cause the moving body to overturn, when the physical information of the driver of the moving body and the speed of the moving body are known.

[0020] The passing wind that can cause a moving body to tip over is a wind blowing from the left or right of the body of the moving body, in other words, a sideways wind.

[0021] The notification unit 19 is a notification device that notifies the driver of the moving body of the predicted passing wind when it is determined that there is a possibility that the moving body will overturn. The notification unit 19 makes the notification based on a control signal from the notification control unit 39.

[0022] The function of the notification unit 19 as a display unit will be described. As an example, the notification unit 19 is a display device arranged around the handle of the mobile body facing the driver of the mobile body. Based on a video signal output from the notification control unit 39, the notification unit 19 displays a video that notifies the driver that there is a possibility of the vehicle tipping over due to wind when passing another vehicle.

[0023] The function of the notification unit 19 as an audio output unit will be described. As an example, the notification unit 19 is an audio output unit arranged around the steering wheel of the mobile object facing the driver. When the notification unit 19 is an audio output unit, it outputs an audio signal output from the notification control unit 39 to notify the driver that there is a high possibility that the mobile object will tip over, and to encourage the driver to take evacuation action such as changing the traveling position or temporarily stopping.

[0024] <Control device> When it is determined that there is a possibility that the moving body may overturn due to passing wind caused by passing another vehicle, the control device 20 controls to notify the driver of the moving body based on the prediction result of the passing wind. The control device 20 is an arithmetic processing device (control device) constituted by, for example, a CPU (Central Processing Unit). The control device 20 loads a stored program into memory and executes instructions included in the program. The control device 20 includes an internal memory (not shown), which is used for temporary storage of data in the control device 20, etc. The control device 20 is a computer that runs the program according to the present disclosure. The control device 20 includes an other vehicle driving information acquisition unit 21, an image acquisition unit 22, an other vehicle recognition unit 23, a moving body information acquisition unit 24, a driver information acquisition unit 25, a prediction unit 31, a determination unit 32, and a notification control unit 39.

[0025] The other vehicle travel information acquisition unit 21 acquires other vehicle travel information indicating the speed of other vehicles. More specifically, the other vehicle travel information acquisition unit 21 acquires the other vehicle travel information based on sensor data acquired from the sensor 11.

[0026] The image acquisition unit 22 acquires an image of the surroundings of the moving object. More specifically, the image acquisition unit 22 acquires an image captured by the camera 12.

[0027] The other vehicle recognition unit 23 recognizes other vehicles present around the moving body. More specifically, the other vehicle recognition unit 23 recognizes other vehicles located in front of the moving body from the image acquired by the image acquisition unit 22. The other vehicle recognition unit 23 recognizes other vehicles that may pass the moving body from the image. The other vehicle recognition unit 23 recognizes the class of the other vehicles.

[0028] The mobile object information acquisition unit 24 acquires mobile object information indicating the speed of the mobile object. The mobile object information acquisition unit 24 acquires mobile object information indicating the direction of movement along with the speed of the mobile object. The mobile object information acquisition unit 24 acquires the mobile object information by, for example, acquiring speed data from a speed sensor disposed on the mobile object.

[0029] The driver information acquisition unit 25 acquires driver information indicating at least one of the height and weight of the driver of the mobile body. The driver information acquisition unit 25 may acquire, for example, driver information set by the driver of the mobile body. The driver information acquisition unit 25 may acquire, for example, measurement data from a weight sensor arranged on the mobile body to acquire the weight information from the driver information. The driver information acquisition unit 25 may acquire, for example, measurement data from a measurement sensor arranged on the handle of the mobile body to measure the position of the driver's head to acquire the height information from the driver information.

[0030] The prediction unit 31 predicts the strength of passing wind that the moving body will receive from another vehicle approaching the moving body within a predetermined distance before passing the other vehicle, based on the other vehicle travel information acquired by the other vehicle travel information acquisition unit 21, the moving body information acquired by the moving body information acquisition unit 24, and the recognition result of the other vehicle by the other vehicle recognition unit 23. The prediction unit 31 predicts the strength of passing wind that the moving body will receive from another vehicle approaching the moving body within a predetermined distance before passing the other vehicle, based on, for example, the speed of the other vehicle, the direction of movement of the other vehicle relative to the moving body, the relative positional relationship including the distance between the other vehicle and the moving body, and the class of the other vehicle.

[0031] The predetermined distance is, for example, several meters, and is the average value of the closest distances when the moving body and another vehicle pass each other.

[0032] The determination unit 32 determines the possibility of the moving body tipping over based on the wind pressure information stored in the wind pressure information storage unit 13, the driver information acquired by the driver information acquisition unit 25, and the predicted result of the passing wind. If the lateral component of the predicted passing wind is equal to or greater than a tipping threshold defined as wind pressure information corresponding to the driver information of the driver of the moving body and the speed of the moving body, the determination unit 32 determines that there is a high possibility that the moving body will tip over.

[0033] FIG. 2 is a schematic diagram showing the wind that a moving body encounters when passing another vehicle. The wind generated by the own vehicle (moving body) moving in the direction indicated by the white arrow is designated as W1, and the wind generated by the other vehicle moving in the direction indicated by the white arrow is designated as W2. The passing wind that affects the own vehicle is calculated as W. The passing wind W is decomposed into a component Wb that is oriented along the moving body's direction of movement, and a component Wa that is perpendicular to Wb and oriented laterally relative to the moving body's body. If the lateral component Wa exceeds the tipping threshold, there is a high possibility that the moving body will tip over.

[0034] When the determination unit 32 determines that there is a possibility that the moving body will tip over, the notification control unit 39 notifies the driver of the moving body of the predicted result of the passing wind. For example, the notification control unit 39 notifies the driver of the moving body of information indicating that there is a possibility that the moving body will tip over due to the passing wind from the notification unit 19. For example, the notification control unit 39 notifies the driver of the moving body of information suggesting evacuation action, such as changing the driving position or temporarily stopping, to reduce the possibility of the moving body tipping over due to the passing wind from the notification unit 19.

[0035] A case will be described where the notification unit 19 is a display unit. The notification control unit 39 outputs a video signal to the notification unit 19 to display a video notifying the user that there is a possibility of the vehicle tipping over due to wind when passing another vehicle, for example.

[0036] A description will be given of the case where the notification control unit 39 is an audio output unit of the notification unit 19. The notification control unit 39 outputs an audio signal to the notification unit 19 to notify that there is a high possibility that the moving object will tip over, and to urge the moving object to take evacuation action such as changing its running position or temporarily stopping.

[0037] <Processing in the control device> Next, the flow of processing in the control device 20 will be described with reference to Fig. 3. Fig. 3 is a flowchart showing the flow of processing in the control device according to the first embodiment. When the driving assistance device 1 is started, the processing of the flowchart shown in Fig. 3 is started. The processing of Fig. 3 is started under any condition. For example, this can be when the moving object equipped with the driving assistance device 1 starts, or when the moving object becomes available for use, or when the operation of the driving assistance device 1 is started by an operation by the user of the driving assistance device 1. Furthermore, the processing of step S101 may be executed on the condition that the moving object is driving.

[0038] The control device 20 acquires other vehicle travel information (step S101). More specifically, the control device 20 acquires other vehicle travel information indicating the speed of other vehicles based on sensor data acquired from the sensor 11 using the other vehicle travel information acquisition unit 21. The control device 20 proceeds to step S102.

[0039] The control device 20 recognizes other vehicles (step S102). More specifically, the control device 20 recognizes the vehicle class of other vehicles located ahead of the moving object from the image acquired by the image acquisition unit 22 using the other vehicle recognition unit 23. The control device 20 proceeds to step S103.

[0040] The control device 20 acquires moving object information (step S103). More specifically, the control device 20 acquires moving object information indicating the moving direction as well as the speed of the moving object using a speed sensor arranged on the moving object via the moving object information acquisition unit 24. The control device 20 proceeds to step S104.

[0041] The control device 20 acquires driver information (step S104). More specifically, the control device 20 acquires driver information indicating at least one of the height and weight of the driver of the mobile body using a weight sensor arranged on the mobile body via the driver information acquisition unit 25. The control device 20 proceeds to step S105.

[0042] The control device 20 predicts the passing wind (step S105). More specifically, the control device 20 predicts the strength of the passing wind that the moving body will receive from another vehicle approaching the moving body within a predetermined distance before the moving body passes another vehicle, based on the speed of the other vehicle, the relative moving direction of the other vehicle with respect to the moving body, the relative positional relationship including the distance between the other vehicle and the moving body, and the class of the other vehicle, using the prediction unit 31. The control device 20 proceeds to step S106.

[0043] The control device 20 determines whether there is a risk of tipping over (step S106). More specifically, the control device 20 determines the possibility of the moving object tipping over based on the wind pressure information, the driver information, and the predicted result of the passing wind using the determination unit 32. The control device 20 determines that there is a high possibility of the moving object tipping over if the lateral component of the passing wind predicted by the determination unit 32 is equal to or greater than a tipping threshold defined as wind pressure information corresponding to the driver information of the driver of the moving object and the speed of the moving object. If the control device 20 determines that there is a risk of tipping over (Yes in step S106), the process proceeds to step S107. If the control device 20 does not determine that there is a risk of tipping over (No in step S106), the process proceeds to step S108.

[0044] When it is determined that there is a risk of tipping over (Yes in step S106), the control device 20 issues a notification (step S107). More specifically, the control device 20 notifies the driver of the moving object of the predicted result of the passing wind through the notification control unit 39. The control device 20, for example, causes the notification control unit 39 to notify the driver of the moving object from the notification unit 19 of information indicating that there is a possibility of tipping over due to the passing wind. The control device 20 proceeds to step S108.

[0045] The control device 20 determines whether or not to end the process (step S108). For example, the control device 20 determines to end the process when the moving body stops and the engine is turned off. When the control device 20 determines to end the process (Yes in step S108), it ends the process of this flowchart. When the control device 20 does not determine to end the process (No in step S108), it executes the process of step S101 again.

[0046] <Effects> As described above, in this embodiment, the strength of the passing wind that the moving body will experience from another vehicle approaching the moving body within a predetermined distance before passing the other vehicle is predicted based on other vehicle travel information, moving body information, and the recognition result of the other vehicle. In this embodiment, if it is determined that the moving body is likely to tip over based on the wind pressure information, driver information, and the predicted result of the passing wind, the predicted result of the passing wind is notified. This embodiment can support the safe traveling of moving bodies such as bicycles and electric kick scooters.

[0047] [Second embodiment] A driving support device 1A according to this embodiment will be described with reference to Figs. 4 and 5. Fig. 4 is a block diagram showing an example of the configuration of a driving support device according to a second embodiment. Fig. 5 is a flowchart showing the flow of processing in a control device according to the second embodiment. The basic configuration of the driving support device 1A is the same as in the first embodiment. The same or corresponding reference numerals are used for the same configuration as in the first embodiment, and description thereof will be omitted. The same applies to the following embodiments. The driving support device 1A differs from the first embodiment in that it includes a weather information acquisition unit 26A and in the processing in the prediction unit 31A and the determination unit 32A.

[0048] The weather information acquisition unit 26A acquires weather information indicating wind speed, wind speed, and wind direction at the current position of the mobile object and along the planned travel route of the mobile object from an external device via a communication unit (not shown), for example.

[0049] The planned travel route of the mobile object is assumed to be acquired from a navigation system of the mobile object via a communication unit (not shown).

[0050] The prediction unit 31A predicts a first predicted value of the passing wind based on weather information and a second predicted value of the passing wind predicted in the same manner as the prediction unit 31 of the first embodiment.

[0051] The prediction unit 31A predicts, as a first predicted value, the strength of the wind that the moving body will experience while traveling, based on weather information. For example, the prediction unit 31A predicts, as a first predicted value, the strength of the wind that the moving body will experience while traveling at its current position or along a planned traveling route, based on weather information.

[0052] The prediction unit 31A predicts, as a second predicted value, the strength of the passing wind that the moving body will receive from another vehicle approaching the moving body within a predetermined distance before the moving body passes the other vehicle, based on the other vehicle driving information, moving body information, and the recognition results of the other vehicle.

[0053] The moving body is subjected to a passing wind that is the sum of the first predicted value and the second predicted value.

[0054] The determination unit 32A determines the possibility of the moving body tipping over based on the wind pressure information, the driver information, the first predicted value, and the second predicted value. When the sum of the lateral component of the first predicted value and the lateral component of the second predicted value of the predicted passing wind is equal to or greater than a tipping threshold defined as wind pressure information corresponding to the driver information of the driver of the moving body and the speed of the moving body, the determination unit 32A determines that there is a high possibility that the moving body will tip over.

[0055] <Processing in the control device> Next, the flow of processing in the control device 20A will be described with reference to Fig. 5. The processing in steps S121 to S124 and steps S128 to S129 in Fig. 5 is similar to the processing in steps S101 to S104 and steps S107 to S108 in the flowchart shown in Fig. 3.

[0056] The control device 20A acquires weather information (step S125). More specifically, the control device 20A acquires weather information indicating the current position of the mobile object and the wind speed along the planned travel route of the mobile object using the weather information acquisition unit 26A. The control device 20A proceeds to step S126.

[0057] The control device 20A predicts the passing wind (step S126). More specifically, the control device 20A uses the prediction unit 31A to predict, as a first predicted value, the strength of the wind that the moving body will experience while traveling, based on weather information. The control device 20A uses the prediction unit 31A to predict, as a second predicted value, the strength of the passing wind that the moving body will experience from another vehicle approaching the moving body within a predetermined distance before passing the other vehicle, based on wind pressure information, other vehicle traveling information, moving body information, driver information, and the recognition result of the other vehicle. The control device 20A proceeds to step S127.

[0058] The control device 20A determines whether there is a risk of tipping over (step S127). More specifically, the control device 20A determines the possibility of the moving object tipping over based on the wind pressure information, the driver information, and the predicted result of the passing wind using the determination unit 32A. The control device 20A determines that there is a high possibility of the moving object tipping over if the sum of the lateral component of the first predicted value of the passing wind and the lateral component of the second predicted value is equal to or greater than the tipping threshold defined as wind pressure information corresponding to the driver information of the driver of the moving object and the speed of the moving object. If the control device 20A determines that there is a risk of tipping over (Yes in step S127), the process proceeds to step S128. If the control device 20A does not determine that there is a risk of tipping over (No in step S127), the process proceeds to step S129.

[0059] <Effects> As described above, in this embodiment, the possibility of a moving object tipping over can be determined based on the first predicted value of passing wind based on weather information and the second predicted value of passing wind calculated in the same manner as in the first embodiment. According to this embodiment, the passing wind can be appropriately predicted by reflecting the weather information.

[0060] [Third embodiment] A driving support device 1B according to this embodiment will be described with reference to Figs. 6 and 7. Fig. 6 is a block diagram showing an example of the configuration of a driving support device according to a third embodiment. Fig. 7 is a flowchart showing the flow of processing in a control device according to the third embodiment. The driving support device 1B differs from the second embodiment in that it includes an anemometer 14B and a wind speed acquisition unit 27B, and in the processing in a prediction unit 31B.

[0061] The anemometer 14B is disposed on the moving body and measures the environmental wind that the moving body actually experiences.

[0062] The wind speed acquisition unit 27B acquires the environmental wind that the moving body actually experiences. The wind speed acquisition unit 27B acquires the wind speed from the anemometer 14B.

[0063] The prediction unit 31B corrects and predicts the strength of the passing wind that the moving body receives from another vehicle approaching the moving body within a predetermined distance before the moving body passes the other vehicle, based on the wind speed of the ambient wind acquired by the wind speed acquisition unit 27B.

[0064] <Processing in the control device> Next, the flow of processing in the control device 20B will be described with reference to Fig. 7. The processing in steps S141 to S145 and steps S148 to S150 in Fig. 7 is similar to the processing in steps S121 to S125 and steps S127 to S129 in the flowchart shown in Fig. 5.

[0065] The control device 20B acquires the wind speed (step S146). More specifically, the control device 20B acquires the wind speed from the anemometer 14B using the wind speed acquisition unit 27B. The control device 20B proceeds to step S147.

[0066] The control device 20B predicts the passing wind (step S147). More specifically, the control device 20B corrects and predicts the strength of the passing wind that the moving object will receive from another vehicle approaching the moving object within a predetermined distance before the moving object passes the other vehicle, using the prediction unit 31B, based on the wind speed acquired by the wind speed acquisition unit 27B. The control device 20B proceeds to step S148.

[0067] <Effects> As described above, in this embodiment, the strength of the passing wind can be corrected and predicted based on the wind speed acquired by the wind speed acquisition unit. According to this embodiment, the passing wind can be appropriately predicted, reflecting the actual wind speed.

[0068] [Fourth embodiment] A driving support device 1C according to this embodiment will be described with reference to Figs. 8 and 9. Fig. 8 is a block diagram showing an example of the configuration of a driving support device according to a fourth embodiment. Fig. 9 is a flowchart showing the flow of processing in the control device according to the fourth embodiment. The driving support device 1C differs from the third embodiment in that it includes a map information storage unit 15C and a map information acquisition unit 28C, and in the processing in a prediction unit 31C.

[0069] The map information storage unit 15C is a storage device that stores map information including information indicating roads and buildings. The map information storage unit 15C stores map information including information indicating buildings and topography that affect winds experienced by a mobile object traveling on a road, such as winds caused by buildings. The map information storage unit 15C may be a storage device such as an external server that acquires map information via a communication function.

[0070] The map information acquisition unit 28C acquires the map information stored in the map information storage unit 15C.

[0071] The prediction unit 31C corrects and predicts the strength of the passing wind that the moving body will receive from another vehicle approaching the moving body within a predetermined distance before the moving body passes the other vehicle, based on map information. If there are buildings and topography that affect the wind that the moving body will receive at the current position or on the traveling route of the moving body, the prediction unit 31C corrects the strength of the passing wind to be stronger.

[0072] <Processing in the control device> Next, the flow of processing in the control device 20C will be described with reference to Fig. 9. The processing in steps S161 to S165 and steps S168 to S170 in Fig. 9 is similar to the processing in steps S141 to S145 and steps S148 to S150 in the flowchart shown in Fig. 7.

[0073] The control device 20C acquires map information (step S166). More specifically, the control device 20C acquires map information from the map information storage unit 15C using the map information acquisition unit 28C. The control device 20C acquires information on buildings and topography that are present at the current position of the mobile object or on the travel route and that affect the wind experienced by the mobile object traveling on the road using the map information acquisition unit 28C. The control device 20C proceeds to step S167.

[0074] The control device 20C predicts the passing wind (step S167). More specifically, the control device 20C corrects and predicts the strength of the passing wind that the moving body will receive from another vehicle approaching the moving body within a predetermined distance before the moving body passes the other vehicle, using the prediction unit 31C, based on the map information. The control device 20C proceeds to step S168.

[0075] <Effects> As described above, in this embodiment, the strength of the passing wind can be corrected and predicted based on map information. According to this embodiment, the passing wind can be appropriately predicted by taking into account the influence of the terrain and buildings.

[0076] The driving assistance device according to the present disclosure has been described above, but the device may be implemented in various different forms other than the above-described embodiment.

[0077] The components of the illustrated driving assistance device are conceptual functional components and do not necessarily have to be physically configured as shown in the drawings. In other words, the specific form of each device is not limited to that shown in the drawings, and all or part of each device may be functionally or physically distributed or integrated in any unit depending on the processing load and usage status of each device.

[0078] The configuration of the driving assistance device is realized, for example, as software, by a program loaded into a memory. In the above embodiment, the functional blocks are described as being realized by the cooperation of these hardware and software. In other words, these functional blocks can be realized in various forms, using only hardware, only software, or a combination of both.

[0079] The above-described components include those that can be easily imagined by a person skilled in the art and those that are substantially the same. Furthermore, the above-described configurations can be appropriately combined. Furthermore, various omissions, substitutions, or modifications of the configurations are possible within the scope of the gist of the present invention. [Explanation of symbols]

[0080] 1. Driving support device 11 Sensors 12 Camera 13 Wind pressure information storage unit 19. Information Department 20 Control device 21 Other vehicle driving information acquisition unit 22 Video acquisition unit 23 Other vehicle recognition unit 24 Mobile information acquisition unit 25 Driver information acquisition unit 31 Prediction Department 32 Judgment section 39 Notification control section

Claims

1. a wind pressure information storage unit that stores physical information indicating at least one of the height and weight of a driver of a moving body and wind pressure information that indicates the strength of passing winds that may occur when the moving body passes another vehicle and lead to the moving body tipping over, in correspondence with the speed of the moving body; an other vehicle travel information acquisition unit that acquires other vehicle travel information indicating the speed of the other vehicle; a moving object information acquisition unit that acquires moving object information indicating a speed of the moving object; a driver information acquisition unit that acquires driver information indicating at least one of a height and a weight of a driver of the moving body; an other vehicle recognition unit that recognizes the other vehicles around the moving object; a prediction unit that predicts the strength of a passing wind that the moving body will receive from another vehicle approaching the moving body within a predetermined distance before the moving body passes the other vehicle, based on the other vehicle travel information, the moving body information, and a recognition result of the other vehicle; a determination unit that determines the possibility of the moving object overturning based on the wind pressure information, the driver information, and the prediction result of the passing wind; a notification control unit that notifies a driver of the moving body of a predicted result of passing wind when the determination unit determines that there is a possibility that the moving body will overturn; A driving assistance device comprising:

2. a weather information acquisition unit for acquiring weather information indicating wind speed; Equipped with The prediction unit predicting, as a first predicted value, a wind strength that the moving body will experience while traveling based on the weather information; predicting, as a second predicted value, a strength of a passing wind that the moving body will receive from the other vehicle approaching the moving body within a predetermined distance before the moving body passes the other vehicle, based on the wind pressure information, the other vehicle travel information, the moving body information, and a recognition result of the other vehicle; the determination unit determines a possibility that the moving object will tip over based on the first predicted value and the second predicted value. The driving assistance device according to claim 1 .

3. a wind speed acquisition unit that acquires wind speed from an anemometer disposed on the moving body; Equipped with the prediction unit corrects and predicts a strength of a passing wind that the moving body receives from another vehicle approaching the moving body within a predetermined distance before the moving body passes the other vehicle, based on the wind speed acquired by the wind speed acquisition unit. The driving support device according to claim 1 or 2.

4. a map information acquisition unit that acquires map information; Equipped with the prediction unit corrects and predicts, based on the map information, a strength of a passing wind that the moving body receives from the other vehicle approaching the moving body within a predetermined distance before the moving body passes the other vehicle. The driving assistance device according to claim 1 .

5. a wind pressure information storage step for storing driver information indicating at least one of the height or weight of a driver of a moving body and wind pressure information indicating the strength of a passing wind generated when the moving body passes another vehicle, which may lead to the moving body tipping over, in correspondence with the speed of the moving body; an other vehicle travel information acquisition step of acquiring other vehicle travel information indicating the speed of the other vehicle; a moving object information acquisition step of acquiring moving object information indicating a speed of the moving object; a driver information acquisition step of acquiring physical information indicating at least one of a height and a weight of a driver of the moving body; a vehicle recognition step of recognizing the vehicle from an image of the periphery of the moving object; a prediction step of predicting a strength of a passing wind that the moving body will receive from another vehicle approaching the moving body within a predetermined distance before the moving body passes the other vehicle, based on the other vehicle travel information, the moving body information, and a recognition result of the other vehicle; a determination step of determining a possibility that the moving object will overturn based on the wind pressure information, the driver information, and the predicted result of the passing wind; a notification control step of notifying a driver of the moving body of a predicted result of passing wind when it is determined in the determination step that there is a possibility that the moving body will overturn; A driving assistance method executed by a driving assistance device, comprising:

Citation Information

Patent Citations

  • Vehicle control device, vehicle control method and program

    JP2021014194A