Information processing device

Abstract

Collect information on locations where cargo collapse is likely to occur. [Solution] The acceleration of the moving object is acquired, information regarding the position of the moving object is acquired, and based on the acceleration and the position of the moving object, candidate locations where cargo collapse may occur on the moving object are detected. When a candidate location where cargo collapse may occur is detected, a question is output asking whether to record the candidate location where cargo collapse may occur on the moving object as a cargo collapse risk location. Information regarding the answer to the outputted question is acquired, and if the answer includes a predetermined answer, the candidate location where cargo collapse may occur is stored as a cargo collapse risk location.

Description

Technical Field

[0001] The present invention relates to an information processing apparatus.

Background Art

[0002] Various technologies have been developed to prevent the occurrence of load collapse in vehicles transporting goods. For example, in Patent Document 1, a safe driving speed is calculated based on the total weight of the cargo bed, etc., and by notifying the calculated safe driving speed, the driver is encouraged to drive safely and the occurrence of load collapse is prevented.

Prior Art Documents

Patent Documents

[0003]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0004] In a sharp curve, a curve that can be traveled at high speed, a road with unevenness, etc., there is a possibility of load collapse. If information on such a point where load collapse may occur can be obtained in advance, it becomes possible to encourage the driver to drive safely at that point and prevent load collapse.

[0005] As an example of the problems to be solved by the present invention, collecting points where load collapse may occur can be cited.

Means for Solving the Problems

[0006] To solve the above problems, the invention described in claim 1 includes: an acceleration acquisition processing unit that acquires the acceleration of a moving body; a position information acquisition processing unit that acquires information about the position of the moving body; a detection unit that detects candidate load collapse risk locations, which are candidate locations where load collapse may occur on the moving body, based on the acceleration and the position of the moving body; a question output processing unit that, when a candidate load collapse risk location is detected, outputs a question asking whether to record the candidate load collapse risk location as a load collapse risk location, which is a location where load collapse may occur on the moving body; an answer information acquisition processing unit that acquires information about the answer to the outputted question; and a storage processing unit that, if the answer includes a predetermined answer, stores the candidate load collapse risk location as the load collapse risk location.

[0007] The invention described in claim 9 is an information processing method performed by a computer, comprising: an acceleration acquisition process step for acquiring the acceleration of a moving body; a position information acquisition process step for acquiring information about the position of the moving body; a detection process step for detecting candidate load collapse risk locations, which are candidate locations where load collapse may occur on the moving body, based on the acceleration and the position of the moving body; a question output process step for outputting a question when a candidate load collapse risk location is detected, asking whether to record the candidate load collapse risk location as a load collapse risk location, which is a location where load collapse may occur on the moving body; an answer information acquisition process step for acquiring information about the answer to the outputted question; and a storage process step for storing the candidate load collapse risk location as a load collapse risk location if the answer includes a predetermined answer.

[0008] The invention described in claim 10 is an information processing program that causes a computer to execute the information processing method described in claim 9.

[0009] The invention described in claim 11 stores the information processing program described in claim 10. [Brief explanation of the drawing]

[0010] [Figure 1]This is an information processing device 100 according to one embodiment of the present invention. [Figure 2] This diagram illustrates the relationship between the information processing device 100 and the mobile device M. [Figure 3] This is a diagram showing the control unit 110. [Figure 4] This figure shows an example of the processing operations performed by the control unit 110 when a potential cargo collapse risk location is detected. [Modes for carrying out the invention]

[0011] An information processing device according to one embodiment of the present invention includes: an acceleration acquisition processing unit that acquires the acceleration of a moving object; a position information acquisition processing unit that acquires information regarding the position of the moving object; a detection unit that detects candidate cargo collapse risk locations, which are candidate locations where cargo collapse may occur on the moving object, based on the acceleration and the position of the moving object; a question output processing unit that, when a candidate cargo collapse risk location is detected, outputs a question asking whether to record the candidate cargo collapse risk location as a cargo collapse risk location, which is a location where cargo collapse may occur on the moving object; an answer information acquisition processing unit that acquires information regarding the answer to the outputted question; and a storage processing unit that, if the answer includes a predetermined answer, stores the candidate cargo collapse risk location as the cargo collapse risk location. Thus, in this embodiment, when a candidate cargo collapse risk location is detected, the detected candidate cargo collapse risk location is stored as a cargo collapse risk location after confirmation with the user. For this reason, in this embodiment, even if a location where the acceleration accidentally increases due to the driver's driving operations (sudden steering, sudden braking, or sudden acceleration) is detected as a candidate cargo collapse risk location, it is possible to prevent that location from being stored as a cargo collapse risk location. As a result, this embodiment makes it possible to collect data on locations where cargo collapse is at risk. This allows drivers to be encouraged to drive safely at these locations, thereby preventing cargo collapse.

[0012] The detection unit is configured to detect the position of the moving body when the acceleration satisfies predetermined conditions as a candidate for a load collapse risk location. The predetermined conditions are configured to include the fact that the magnitude of the acceleration exceeds a first threshold when the weight of the longitudinal component of the acceleration is reduced. By doing so, it is possible to suppress the influence of changes in longitudinal acceleration, and the likelihood of detecting locations where the acceleration increases due to the nature of the road (sharp curves, curves where high-speed travel is possible, uneven surfaces) as a candidate for a load collapse risk location increases.

[0013] The predetermined conditions may include the lateral component of the acceleration exceeding a second threshold. By doing so, it becomes possible to detect points where the lateral component of acceleration changes significantly as potential points of risk of cargo collapse, and the likelihood of detecting points where acceleration increases due to road characteristics (sharp curves, curves where high-speed driving is possible, uneven surfaces) as potential points of risk of cargo collapse increases.

[0014] The aforementioned predetermined conditions may include the condition that the vertical component of the acceleration exceeds a third threshold. By doing so, it becomes possible to detect points where the change in the vertical component of acceleration is large as potential points of cargo collapse risk, and the likelihood of detecting points where acceleration increases due to the nature of the road (sharp curves, curves where high-speed driving is possible, uneven surfaces) as potential points of cargo collapse risk increases.

[0015] The detection unit may also detect candidate locations at risk of cargo collapse using a trained model that has learned the acceleration that occurs when a cargo collapse occurs. In this way, locations where the same acceleration changes as when a cargo collapse occurs will be detected as candidates for cargo collapse risk, and the likelihood of detecting only locations that are actually highly likely to collapse as candidates for cargo collapse risk increases.

[0016] The question output processing unit may refrain from outputting the question when the driver of the mobile vehicle is under a heavy load. This prevents further increasing the driver's workload by preventing the question from being output.

[0017] The aforementioned predetermined response should ideally include an affirmative answer to the aforementioned question. Doing so will reduce the burden on the driver.

[0018] Furthermore, an information processing method according to one embodiment of the present invention is an information processing method performed by a computer, comprising: an acceleration acquisition process step for acquiring the acceleration of a moving body; a position information acquisition process step for acquiring information regarding the position of the moving body; a detection process step for detecting candidate load collapse risk locations, which are candidate locations where load collapse may occur on the moving body, based on the acceleration and the position of the moving body; a question output process step for outputting a question when a candidate load collapse risk location is detected, asking whether to record the candidate load collapse risk location as a load collapse risk location where load collapse may occur on the moving body; an answer information acquisition process step for acquiring information regarding the answer to the outputted question; and a storage process step for storing the candidate load collapse risk location as a load collapse risk location if the answer includes a predetermined answer. Thus, in this embodiment, when a candidate load collapse risk location is detected, the detected candidate load collapse risk location is stored as a load collapse risk location after confirmation with the user. Therefore, in this embodiment, even if a point where acceleration accidentally increases due to the driver's driving actions (sudden steering, sudden braking, or sudden acceleration) is detected as a candidate for a cargo collapse risk point, it is possible to prevent that point from being stored as a cargo collapse risk point. As a result, in this embodiment, it is possible to collect cargo collapse risk points. This makes it possible to encourage safe driving by the driver at cargo collapse risk points and to prevent cargo collapse.

[0019] Also, an information processing program according to an embodiment of the present invention causes a computer to execute the above information processing method. By doing so, it becomes possible to use a computer to store the detected landslide risk point candidates as landslide risk points after confirmation by the user.

[0020] Further, a computer-readable storage medium according to an embodiment of the present invention stores the above information processing program. By doing so, the above information processing program can be distributed alone in addition to being incorporated into a device, and it becomes possible to easily perform version updates and the like.

Example

[0021] <Information Processing Device 100> FIG. 1 shows an information processing device 100 according to an embodiment of the present invention. The information processing device 100 includes a control unit 110, a communication unit 120, an acceleration sensor 130, a position information acquisition unit 140, an output unit 150, an input unit 160, and a storage unit 170.

[0022] The control unit 110 is configured by, for example, a computer. The communication unit 120 is a communication device for transmitting and receiving information to and from other devices. The acceleration sensor 130 is a sensor that measures the acceleration of a moving object. The position information acquisition unit 140 is a device for acquiring position information such as an antenna that receives signals transmitted from satellites constituting GNSS (Global Navigation Satellite System) including GPS (Global Positioning System). The output unit 150 is an output device that outputs information such as a display and a speaker. The input unit 160 is an input device for receiving information input from switches, keyboards, touch panels, microphones, cameras, and the like. The storage unit 170 is a storage device for storing information such as a hard disk and a memory.

[0023] The information processing device 100 may be a device that moves with the mobile body M, such as a vehicle, as shown in Figure 2(A) (for example, an in-vehicle device such as a drive recorder or navigation system installed on the mobile body M, or a smartphone located inside the mobile body M), or it may be a device installed outside the mobile body M that communicates with a device O that moves with the mobile body M (for example, an in-vehicle device installed on the mobile body M, or a smartphone located inside the mobile body M), as shown in Figure 2(B) (for example, a server). If the information processing device 100 is a device installed outside the mobile body that communicates with a device O that moves with the mobile body M, the information processing device 100 does not need to have an acceleration sensor 130, a position information acquisition unit 140, an output unit 150, or an input unit 160.

[0024] Figure 3 shows the control unit 110. The control unit 110 includes an acceleration acquisition processing unit 111, a moving object position information acquisition processing unit 112, a detection unit 113, a question output processing unit 114, an answer information acquisition processing unit 115, and a storage processing unit 116.

[0025] The acceleration acquisition processing unit 111 acquires the acceleration of the moving object. For example, the acceleration acquisition processing unit 111 acquires the acceleration of the moving object measured by the acceleration sensor 130. Alternatively, for example, the acceleration acquisition processing unit 111 may acquire the acceleration of the moving object from other devices that move with the moving object (for example, in-vehicle devices such as navigation systems installed on the moving object, or smartphones inside the moving object) by communicating using the communication unit 120.

[0026] The acceleration acquisition processing unit 111 may acquire all three axis components of acceleration, or it may acquire only the left-right component of acceleration (i.e., the component of the horizontal plane component of acceleration that is perpendicular to the direction of travel of the moving object) and the up-down component (i.e., the vertical component of acceleration).

[0027] The mobile object location information acquisition processing unit 112 acquires mobile object location information, which includes information about the location of the mobile object. In this case, for example, the mobile object location information acquisition unit 112 acquires mobile object location information from the mobile object location information acquisition unit 140. Alternatively, for example, the mobile object location information acquisition processing unit 112 may acquire mobile object location information from other devices that move with the mobile object (for example, in-vehicle devices such as navigation systems installed on the mobile object, or smartphones inside the mobile object) by communicating using the communication unit 120.

[0028] The detection unit 113 detects candidate locations where load collapse is likely to occur on the moving object, based on the acquired acceleration and position of the moving object.

[0029] When a candidate for a cargo collapse risk location is detected, the question output processing unit 114 outputs a question (for example, "A strong impact has been detected. Do you want to record the location where the impact was detected as a cargo collapse risk location?") asking whether to record the candidate as a cargo collapse risk location on the moving vehicle. At this time, for example, the question output processing unit 114 outputs the question using the output unit 150. Alternatively, the question output processing unit 114 may output the question from other devices that move with the moving vehicle (for example, a display or speaker installed on the moving vehicle, or a smartphone inside the moving vehicle) by communicating using the communication unit 120.

[0030] The response information acquisition processing unit 115 acquires response information, which includes information about the answer to the question output by the question output processing unit 114. For example, the response information acquisition processing unit 115 acquires response information by receiving input from the input unit 160. Alternatively, the response information acquisition processing unit 115 may acquire response information from other devices that move with the mobile device (for example, an input device installed on the mobile device or a smartphone inside the mobile device) by communicating using the communication unit 120.

[0031] For example, the response information acquisition processing unit 115 acquires affirmative responses to the questions output by the question output processing unit 114 (for example, "A strong impact has been detected. Should you record the location where the impact was detected as a cargo collapse risk location?") and negative responses to the questions (for example, "No," "Do not record," or "This is not a cargo collapse risk location").

[0032] If the response obtained by the response information acquisition processing unit 115 includes a predetermined response, the memory processing unit 116 stores the candidate for cargo collapse risk location as a cargo collapse risk location. In this case, for example, the memory processing unit 116 stores the candidate for cargo collapse risk location in the memory unit 170. Alternatively, the memory processing unit 116 may store the candidate for cargo collapse risk location in a memory device installed outside the mobile unit.

[0033] For example, a given response includes an affirmative answer to a question. In other words, if the answer to the question asking whether to record the detected candidate for a cargo collapse risk location as a cargo collapse risk location (for example, "A strong impact has been detected. Should you record the location where the impact was detected as a cargo collapse risk location?") is an affirmative answer (for example, "Yes" or "Please record it"), the memory processing unit 116 stores the candidate for a cargo collapse risk location as a cargo collapse risk location. On the other hand, if the answer to the question asking whether to record the detected candidate for a cargo collapse risk location as a cargo collapse risk location (for example, "A strong impact has been detected. Should you record the location where the impact was detected as a cargo collapse risk location?") is not an affirmative answer (for example, if the answer is a negative answer (for example, "No", "Do not record", or "It is not a cargo collapse risk location")), the memory processing unit 116 does not store the candidate for a cargo collapse risk location as a cargo collapse risk location.

[0034] Thus, in this embodiment, when a potential cargo collapse risk location is detected, the detected potential location is stored as a cargo collapse risk location after confirmation with the user. Therefore, in this embodiment, even if a location where acceleration accidentally increases due to the driver's driving actions (sudden steering, sudden braking, or sudden acceleration) is detected as a potential cargo collapse risk location, it is possible to prevent that location from being stored as a cargo collapse risk location. As a result, it is possible to collect cargo collapse risk locations in this embodiment. This makes it possible to encourage safe driving by the driver at cargo collapse risk locations and to prevent cargo collapse.

[0035] Figure 4 shows an example of the processing operations performed by the control unit 110 when a candidate for a cargo collapse risk location is detected. The question output processing unit 114 outputs a question asking whether to record it as a cargo collapse risk location (step S401). The answer information acquisition processing unit 115 acquires answer information containing information about the answer to the question (step S402). If the answer includes a predetermined answer (step S403, YES), the storage processing unit 116 stores the candidate for a cargo collapse risk location as a cargo collapse risk location (step S404). If the answer does not include a predetermined answer (step S403, NO), the storage processing unit 116 terminates processing of the candidate for a cargo collapse risk location.

[0036] <Detection of potential locations at risk of cargo collapse> When a moving vehicle travels on a sharp curve, or even on a gentle curve, if it travels at high speed, the vehicle's lateral acceleration increases, placing a large lateral force on the cargo loaded on it, potentially causing the cargo to shift. Therefore, sharp curves and curves where high-speed travel is possible are locations where cargo shifting is likely to occur. Similarly, when a moving vehicle travels on an uneven road, its vertical acceleration increases, placing a large vertical force on the cargo loaded on it, potentially causing the cargo to shift. Therefore, uneven roads are locations where cargo shifting is likely to occur.

[0037] In other words, changes in the lateral and vertical components of the acceleration of a moving object are likely to be caused by the properties of the road (sharp curves, curves that allow high-speed driving, uneven surfaces). On the other hand, changes in the longitudinal component of acceleration are likely to be caused by the driver's actions (sudden braking or sudden acceleration), and less likely to be caused by the properties of the road (sharp curves, curves that allow high-speed driving, uneven surfaces).

[0038] Therefore, in this embodiment, the detection unit 113 detects, for example, the position of the moving body when its acceleration satisfies predetermined conditions as a candidate location for load collapse risk.

[0039] In this case, the predetermined conditions should include, for example, the condition that "the magnitude of acceleration when the weight of the longitudinal component of acceleration is reduced exceeds the first threshold." Let the longitudinal, lateral, and vertical components of the acceleration of the moving object be Gx, Gy, and Gz, respectively, and set 0≦A<1, for example, (A·Gx 2 +Gy 2 +Gz 2 ) 1 / 2 This can be used as the magnitude of acceleration when the weight of the longitudinal component of acceleration is reduced.

[0040] By doing so, it becomes possible to suppress the effects of changes in acceleration in the longitudinal direction, and the likelihood of detecting points where acceleration increases due to road characteristics (sharp curves, curves where high-speed driving is possible, uneven surfaces) as potential points of cargo collapse risk increases. In particular, when A=0, it becomes possible to detect only points where the changes in the lateral and vertical components of acceleration are large as potential points of cargo collapse risk, and the likelihood of detecting points where acceleration increases due to road characteristics (sharp curves, curves where high-speed driving is possible, uneven surfaces) as potential points of cargo collapse risk increases even more.

[0041] Furthermore, the predetermined conditions may include, for example, the condition that "the lateral component of acceleration exceeds a second threshold." By doing so, it becomes possible to detect points where the change in the lateral component of acceleration is large as potential points of cargo collapse risk, and the likelihood of detecting points where acceleration is large due to the nature of the road (sharp curves, curves where high-speed driving is possible, uneven surfaces) as potential points of cargo collapse risk increases.

[0042] Furthermore, the specified conditions may include the condition that "the vertical component of acceleration exceeds a third threshold." By doing so, it becomes possible to detect points where the change in the vertical component of acceleration is large as potential points of cargo collapse risk, and the likelihood of detecting points where acceleration is large due to the nature of the road (sharp curves, curves where high-speed driving is possible, uneven surfaces) as potential points of cargo collapse risk increases.

[0043] Furthermore, the detection unit 113 may also detect candidate locations at risk of cargo collapse using a trained model that has learned the acceleration that occurs when a cargo collapse occurs. In this way, locations where the same acceleration changes as when a cargo collapse occurs will be detected as candidates for cargo collapse risk, and it will be more likely that only locations that are actually highly likely to collapse will be detected as candidates for cargo collapse risk.

[0044] <Output of questions by the question output processing unit 114> The question output processing unit 114 may output a question immediately after a candidate for a cargo collapse risk location is detected, or it may output a question after a predetermined time (for example, a few seconds to one minute) has elapsed since the detection of the candidate for a cargo collapse risk location. Furthermore, while the answer information acquisition processing unit 115 has not acquired answer information, the question output processing unit 114 may output a question at predetermined intervals (for example, every two minutes).

[0045] Furthermore, even if a candidate location for cargo collapse risk is detected, the question output processing unit 114 may refrain from outputting a question when the moving vehicle is traveling through a location where the driving load is high (for example, an intersection or merging point), and may output the question only after the moving vehicle has passed through the location where the driving load is high.

[0046] Furthermore, the question output processing unit 114 should output a question only when a driver is present inside the vehicle. The question output processing unit 114 should, for example, determine whether or not a driver is present inside the vehicle by using a camera that takes pictures inside the vehicle or a sensor installed on the door of the vehicle.

[0047] Furthermore, the information processing device 100 may also include a load information acquisition processing unit 117 that acquires information regarding the load on the driver of the mobile vehicle. The question output processing unit 114 may refrain from outputting questions when the driver of the mobile vehicle is under load, and only output questions after the load on the driver of the mobile vehicle has been relieved. In this way, it is possible to prevent further increasing the driver's load by outputting questions.

[0048] The load information acquisition processing unit 117 may acquire information regarding the load on the driver of a mobile vehicle from a device that calculates information regarding the load on the driver of a mobile vehicle based on measurements from a measuring device that measures information related to the load on the driver of the mobile vehicle. The measuring device may be, for example, a device that measures the driver's heart rate, a device that measures the driver's sweating state, or a camera that captures images of the driver's facial expression.

[0049] The present invention has been described above with reference to preferred embodiments. Although the present invention has been described with reference to specific examples, various modifications and changes can be made to these examples without departing from the spirit and scope of the invention as described in the claims. [Explanation of symbols]

[0050] 100 Information Processing Devices 110 Control Unit 111 Acceleration acquisition processing unit 112 Mobile object position information acquisition processing unit 112 113 Detection unit 113 114 Question Output Processing Unit 115. Response Information Acquisition Processing Unit 116 Memory Processing Unit 117 Load Information Acquisition Processing Unit 120 Communications Department 130 Accelerometer 140 Location information acquisition unit 150 Output section 160 Input section 170 Storage section

Claims

[Claim 1] An acceleration acquisition processing unit that acquires the acceleration of a moving object, A position information acquisition processing unit that acquires information regarding the position of the moving object, A detection unit detects candidate locations for load collapse risk, which are potential locations where load collapse may occur on the moving body, based on the acceleration and the position of the moving body. An information processing device having a storage processing unit that, when a candidate for a cargo collapse risk location is detected, stores the candidate for a cargo collapse risk location as the cargo collapse risk location based on confirmation with the driver.

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