Greenhouse gas discharge amount evaluation device, greenhouse gas discharge amount evaluation method, and greenhouse gas discharge amount evaluation program

Abstract

To provide a greenhouse gas discharge amount evaluation device, greenhouse gas discharge amount evaluation method, and greenhouse gas discharge amount evaluation program capable of easily evaluating a greenhouse gas discharge amount to be discharged by a mobile body.SOLUTION: A greenhouse gas discharge amount evaluation device comprises: a moving characteristic estimation section for estimating moving characteristics including a moving speed of a mobile body from a change amount of a video which is obtained by photographing an external environment of the mobile body by a photographing section arranged in the mobile body; and an evaluation section for evaluating a greenhouse gas discharge amount of the mobile body based on the moving characteristics.SELECTED DRAWING: Figure 1

Description

[Technical field]

[0001] The present disclosure relates to a greenhouse gas emission assessment device, a greenhouse gas emission assessment method, and a greenhouse gas emission assessment program. [Background technology]

[0002] Patent document 1 describes an information processing device that generates statistical information about transportation infrastructure based on video data from a camera that continuously captures traffic conditions, and calculates carbon dioxide emissions in the transportation infrastructure using the generated statistical information. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] International Publication No. 2019 / 187291 Summary of the Invention [Problem to be solved by the invention]

[0004] In the green sector, there is an urgent need to visualize greenhouse gas emissions such as carbon dioxide, and there is a growing need to visualize greenhouse gas emissions from moving bodies, including vehicles, etc. In this context, there is a demand for an easy evaluation of greenhouse gas emissions from moving bodies.

[0005] One of the objects of the present disclosure has been made to solve the above-mentioned problems, and is to provide a greenhouse gas emission assessment device, a greenhouse gas emission assessment method, and a greenhouse gas emission assessment program that can easily assess the amount of greenhouse gas emissions emitted by moving bodies such as vehicles. [Means for solving the problem]

[0006] The greenhouse gas emission assessment device according to the present disclosure includes a movement characteristic estimation unit that estimates movement characteristics including the movement speed of the moving body from the amount of change in an image of the environment outside the moving body captured by a capturing unit arranged in the moving body, and an assessment unit that evaluates the greenhouse gas emissions of the moving body from the movement characteristics.

[0007] The greenhouse gas emission assessment device according to the present disclosure includes an estimation unit that estimates the travel speed of the vehicle based on an image of the outside of the vehicle captured by a camera disposed in the vehicle, and an assessment unit that assesses the amount of greenhouse gas emissions emitted by the vehicle based on at least the travel speed.

[0008] The greenhouse gas emission assessment method according to the present disclosure includes having a movement characteristic estimation unit estimate movement characteristics including the movement speed of the moving body from the amount of change in an image captured by a capturing unit arranged in the moving body of the environment outside the moving body, and having an assessment unit evaluate the greenhouse gas emissions of the moving body from the movement characteristics.

[0009] The greenhouse gas emission assessment program of the present disclosure causes a computer to execute the following steps: have a movement characteristic estimation unit estimate movement characteristics including the movement speed of the moving body from the amount of change in image captured by a capture unit installed in the moving body of the environment outside the moving body, and have an evaluation unit evaluate the greenhouse gas emissions of the moving body from the movement characteristics. Effect of the Invention

[0010] According to the present disclosure, it is possible to provide a greenhouse gas emission assessment device, a greenhouse gas emission assessment method, and a greenhouse gas emission assessment program that can easily assess the greenhouse gas emissions emitted by a moving body. [Brief description of the drawings]

[0011] [Figure 1] 1 is a block diagram illustrating a greenhouse gas emission assessment device according to the present disclosure. [Diagram 2]1 is a schematic diagram illustrating a vehicle as a moving body to be evaluated for greenhouse gas emissions in a greenhouse gas emission evaluation device according to the present disclosure; [Diagram 3] 1 is a flow chart illustrating a greenhouse gas emission assessment method using a greenhouse gas emission assessment device according to the present disclosure. [Figure 4] 1 is a block diagram illustrating a greenhouse gas emission assessment device according to the present disclosure. [Diagram 5] 1 is a block diagram illustrating a greenhouse gas emission assessment device and a plurality of vehicles according to the present disclosure. [Figure 6] 1 is a block diagram illustrating a greenhouse gas emission assessment device according to the present disclosure. [Figure 7] 1 is a schematic diagram illustrating environmental information in a greenhouse gas emission assessment device according to the present disclosure. FIG. [Figure 8] 1 is a schematic diagram illustrating environmental information in a greenhouse gas emission assessment device according to the present disclosure. FIG. [Figure 9] 1 is a schematic diagram illustrating environmental information in a greenhouse gas emission assessment device according to the present disclosure. FIG. [Figure 10] 1 is a schematic diagram illustrating environmental information in a greenhouse gas emission assessment device according to the present disclosure. FIG. [Figure 11] 1 is a flow chart illustrating a greenhouse gas emission assessment method using a greenhouse gas emission assessment device according to the present disclosure. [Figure 12] 1 is a block diagram illustrating a greenhouse gas emission assessment device according to the present disclosure. [Figure 13] 1 is a flow chart illustrating a greenhouse gas emission assessment method using a greenhouse gas emission assessment device according to the present disclosure. [Figure 14] 1 is a block diagram illustrating a greenhouse gas emission assessment device according to the present disclosure. [Figure 15] 1 is a flow chart illustrating a greenhouse gas emission assessment method using a greenhouse gas emission assessment device according to the present disclosure. [Figure 16]1 is a block diagram illustrating a greenhouse gas emission assessment device according to the present disclosure. [Figure 17] 1 is a flow chart illustrating a greenhouse gas emission assessment method using a greenhouse gas emission assessment device according to the present disclosure. [Figure 18] 1 is a block diagram illustrating a greenhouse gas emission assessment device according to the present disclosure. [Figure 19] 1 is a flow chart illustrating a greenhouse gas emission assessment method using a greenhouse gas emission assessment device according to the present disclosure. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0012] Hereinafter, an embodiment of the present disclosure will be described with reference to the drawings. Note that the following description and drawings are omitted and simplified as appropriate for clarity of explanation. In addition, in each of the following drawings, the same elements are given the same reference numerals, and duplicate explanations are omitted as necessary.

[0013] <Embodiment 1> A greenhouse gas emission assessment device according to a first embodiment will be described. Fig. 1 is a block diagram illustrating a greenhouse gas emission assessment device 10 according to the present disclosure. As shown in Fig. 1, the greenhouse gas emission assessment device 10 includes a movement characteristic estimation unit 11 and an assessment unit 15. The movement characteristic estimation unit 11 and the assessment unit 15 function as a movement characteristic estimation means and an assessment means, respectively.

[0014] The movement characteristic estimation unit 11 estimates the movement characteristic of the moving body. FIG. 2 is a schematic diagram illustrating a vehicle 20 as a moving body to be evaluated for greenhouse gas emissions in the greenhouse gas emission evaluation device 10 according to the present disclosure. As shown in FIG. 2, the moving body includes, for example, the vehicle 20. Note that the moving body is not limited to the vehicle 20 as long as it is a moving object. The moving body may include types such as trains, ships, airplanes, and drones as the type of moving body. The vehicle 20 includes types such as automobiles, trucks, and motorcycles as the type. The vehicle 20 also includes types such as electric vehicles, gasoline vehicles, and hybrid vehicles. Furthermore, the vehicle 20 includes types such as light vehicles, small cars, medium-sized cars, and large cars as the type. In the following, the moving body will be described as the vehicle 20 as appropriate, but unless otherwise limited, in the following description, the moving body may be replaced with the vehicle 20, or the vehicle 20 may be replaced with the moving body.

[0015] The vehicle 20 has a photographing unit 21. Thus, the photographing unit 21 is disposed in the vehicle 20. The photographing unit 21 photographs an image 22 of the environment outside the vehicle 20. Specifically, the photographing unit 21 photographs the image 22 of the environment outside the vehicle 20 from the viewpoint of the vehicle 20. The photographing unit 21 includes, for example, a drive recorder. In that case, the photographing unit 21 may photograph the environment in front of the vehicle 20 as the image 22. Note that the photographing unit 21 is not limited to a drive recorder as long as it can photograph the image 22 of the environment outside the vehicle 20. The photographing unit 21 may be provided in a smartphone, tablet, mobile PC, digital camera, or the like. In addition, the image 22 of the environment photographed by the photographing unit 21 is not limited to an image including the front of the vehicle 20, but may also include an image including the rear, side, and upper side of the vehicle 20, as long as it is an image outside the vehicle 20.

[0016] The image capturing unit 21 capturing the image 22 of the environment outside the vehicle 20 may capture the image 22 in which the vehicle 20 is not shown. The image captured by the image capturing unit 21 includes the image 22 captured from inside the vehicle 20 of the environment outside the vehicle 20. The image 22 captured by the image capturing unit 21 may include information on the date and time of capture and the time of capture. Furthermore, the image captured by the image capturing unit 21 may include information on audio data acquired at the time of capture.

[0017] The imaging unit 21 may be connected to the greenhouse gas emission assessment device 10 via a communication circuit including at least one of wireless and wired. For example, the imaging unit 21 may be connected to the greenhouse gas emission assessment device 10 via a network NW such as the Internet or an intranet. The greenhouse gas emission assessment device 10 may be disposed in the vehicle 20. The imaging unit 21 outputs the captured video 22 to the greenhouse gas emission assessment device 10. For example, the imaging unit 21 outputs the captured video to the movement characteristics estimation unit 11 in the greenhouse gas emission assessment device 10.

[0018] The imaging unit 21 may be independent of the greenhouse gas emission assessment device 10, or may be included in the greenhouse gas emission assessment device 10. When the imaging unit 21 is included in the greenhouse gas emission assessment device 10, the imaging unit 21 outputs the captured image to the movement characteristics estimation unit 11.

[0019] The movement characteristic estimation unit 11 estimates the movement characteristic of the vehicle 20 from the amount of change in the image captured by the image capturing unit 21. For example, the movement characteristic estimation unit 11 estimates the movement characteristic of the vehicle 20 from the amount of change between the image 22a and the image 22b. Specifically, for example, the movement characteristic estimation unit 11 estimates the movement speed of the vehicle 20 as the movement characteristic of the vehicle 20 by image analysis of the image 22a and the image 22b. For example, the movement characteristic estimation unit 11 may estimate the movement speed of the vehicle 20 from the amount of change between the position of a traffic light in the image 22a and the position of a traffic light in the image 22b. The image 22b was captured a predetermined time after the time when the image 22a was captured.

[0020] Furthermore, the movement characteristic estimation unit 11 estimates the acceleration of the vehicle 20 from the amount of change in the image 22. For example, the movement characteristic estimation unit 11 may estimate the acceleration of the vehicle 20 from the amount of change in the estimated movement speed. Furthermore, the movement characteristic estimation unit 11 may estimate the position, movement time, and travel distance of the vehicle 20 from the amount of change in the image 22. For example, the movement characteristic estimation unit 11 estimates the position of the vehicle 20 as the movement characteristic from landmark information included in the image of the environment. In this way, the movement characteristic estimation unit 11 estimates the movement characteristic including the movement speed of the moving body from the amount of change in the image of the environment outside the moving body captured by the imaging unit 21 arranged on the moving body. The movement characteristic may include the movement time, acceleration, position, and travel distance of the vehicle 20 in addition to the movement speed of the vehicle 20.

[0021] The evaluation unit 15 evaluates the greenhouse gas emissions of the vehicle 20 from the travel characteristics. For example, the evaluation unit 15 evaluates the greenhouse gas emissions using the travel speed and travel time estimated as the travel characteristics. Specifically, the evaluation unit 15 can evaluate the greenhouse gas emissions from the product of the travel distance of the vehicle 20 and the emission coefficient (travel distance of the vehicle 20 x emission coefficient). Here, the travel distance of the vehicle 20 can be calculated by the product of the travel speed and travel time (travel speed x travel time). The emission coefficient may be a coefficient that depends on the type of the vehicle 20, etc., or a coefficient that depends on environmental conditions such as the travel road surface and weather. The greenhouse gas includes gases that are generally called greenhouse gases, such as carbon dioxide (CO2) and N2O.

[0022] The greenhouse gas emissions are not limited to the greenhouse gas emissions actually emitted from the exhaust port of a vehicle 20 such as a gasoline-powered vehicle while the vehicle 20 is running. For example, the greenhouse gas emissions may be the emissions emitted in order to store the electricity used by the vehicle 20 such as an electric vehicle while the vehicle 20 is running in the battery of the vehicle 20.

[0023] When the moving body is a vehicle 20, the movement characteristic estimation unit 11 estimates the movement speed of the vehicle 20 based on an image of the outside of the vehicle 20 captured by a camera arranged on the vehicle 20. The evaluation unit 15 evaluates the amount of greenhouse gas emissions emitted by the vehicle 20 based on at least the movement speed. Here, the movement characteristic estimation unit 11 may be simply referred to as an estimation unit.

[0024] The vehicle 20 may have an output unit 23. The output unit 23 may output the video 22 captured by the imaging unit 21. The output unit 23 may also output the greenhouse gas emission amount evaluated by the evaluation unit 15. In this way, the output unit 23 can present the greenhouse gas emission amount to the driver of the vehicle 20.

[0025] 3 is a flow chart illustrating a greenhouse gas emission assessment method using the greenhouse gas emission assessment device 10 according to the present disclosure. As shown in FIG 3, the greenhouse gas emission assessment method includes a step S11 of estimating a transfer characteristic and a step S15 of assessing.

[0026] In step S11 of estimating movement characteristics, the movement characteristics estimation unit 11 estimates the movement characteristics including the movement speed of the moving object from the amount of change in an image captured by the imaging unit 21 arranged in the moving object of the environment outside the moving object.

[0027] In the evaluation step S15, the evaluation unit 15 evaluates the greenhouse gas emissions of the mobile object from the estimated movement characteristics.

[0028] Fig. 4 is a block diagram illustrating a greenhouse gas emission assessment apparatus 10 according to the present disclosure. As shown in Fig. 4, the greenhouse gas emission assessment apparatus 10 may further include a processor PRC, a memory MMR, a storage device STR, and a user interface UI. The greenhouse gas emission assessment apparatus 10 includes an information processing device such as a microcomputer, a personal computer, a server, a tablet, or a mobile terminal.

[0029] The storage device STR stores, as a program, the processing executed by each component of the greenhouse gas emission assessment device 10. The processor PRC also loads the program from the storage device STR into the memory MMR and executes the program. In this way, the processor PRC realizes the functions of each component of the greenhouse gas emission assessment device 10, such as the movement characteristic estimation unit 11 and the assessment unit 15. The user interface UI may include input devices such as a keyboard, a mouse, an imaging device, etc., and output devices such as a display, a printer, a speaker, etc.

[0030] Each of the components of the greenhouse gas emission assessment device 10 may be realized by dedicated hardware. Also, some or all of the components may be realized by a general-purpose or dedicated circuit, a processor PRC, or a combination of these. These may be configured by a single chip, or by multiple chips connected via a bus. Some or all of the components may be realized by a combination of the above-mentioned circuits, etc., and a program. Also, a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), an FPGA (Field-programmable Gate Array), a quantum processor (quantum computer control chip), etc. can be used as the processor PRC.

[0031] Furthermore, when some or all of the components of the greenhouse gas emission assessment device 10 are realized by a plurality of information processing devices, circuits, etc., the plurality of information processing devices, circuits, etc. may be arranged in a centralized manner or in a distributed manner. For example, the information processing devices, circuits, etc. may be realized in a form in which they are connected to each other via a communication network NW by a client-server system, a cloud computing system, etc. Furthermore, the functions of the greenhouse gas emission assessment device 10 may be provided in a SaaS (Software as a Service) format.

[0032] The greenhouse gas emission evaluation device 10 may be disposed in a place other than a mobile object including the vehicle 20. For example, the greenhouse gas emission evaluation device 10 may be disposed in a management center that manages a plurality of mobile objects.

[0033] FIG. 5 is a block diagram illustrating a greenhouse gas emission evaluation device 10 and a plurality of vehicles 20a-20c according to the present disclosure. As shown in FIG. 5, the greenhouse gas emission evaluation device 10 may be disposed in a management center 30. The management center 30 may include a system for monitoring the safety of the traveling of the vehicles 20a-20c. The greenhouse gas emission evaluation device 10 may acquire images of the environment outside each of the vehicles 20a-20c from each of the imaging units 21a-21c disposed in the plurality of vehicles 20a-20c. Then, the greenhouse gas emission evaluation device 10 may evaluate greenhouse gas emissions of the plurality of vehicles 20a-20c.

[0034] Specifically, for example, the movement characteristic estimation unit 11 estimates the movement characteristic of each of the vehicles 20a to 20c from the amount of change in the image captured by each of the image capturing units 21a to 21c arranged in the vehicles 20a to 20c. The evaluation unit 15 evaluates the greenhouse gas emission amount of each of the vehicles 20a to 20c from the movement characteristic of each of the vehicles 20a to 20c. In this manner, the greenhouse gas emission evaluation device 10 can evaluate the greenhouse gas emission amount of the multiple vehicles 20. Therefore, the greenhouse gas emission evaluation device 10 can evaluate the greenhouse gas emission amount of the multiple vehicles 20a to 20c. This can reduce costs. In addition, each of the image capturing units 21a to 21c transmits an image of the environment outside each of the vehicles 20a to 20c to the management center 30. The management center 30 monitors the safety of the traveling of each of the vehicles 20a to 20c based on the image. Therefore, by disposing the greenhouse gas emission evaluation device 10 in the management center 30, not only can the safe driving of the vehicle 20 be monitored, but also greenhouse gas emission evaluation can be performed on the management center 30 side.

[0035] Although three vehicles 20 are shown in the figure, the number of vehicles 20 is not limited to three, but may be two, or may be four or more.

[0036] Next, the effects of this embodiment will be described. The greenhouse gas emission assessment device 10 estimates movement characteristics from the amount of change in an image captured of the environment outside the vehicle 20. Then, the greenhouse gas emission assessment device 10 evaluates the greenhouse gas emissions of the vehicle 20 from the estimated movement characteristics. This allows the greenhouse gas emission assessment device 10 to easily evaluate the greenhouse gas emissions. In addition, the greenhouse gas emission assessment device 10 can estimate the movement characteristics of the vehicle 20 from images from a drive recorder or the like that is generally attached to the vehicle 20 or the like. This allows the greenhouse gas emissions emitted by the vehicle 20 to be easily evaluated.

[0037] The greenhouse gas emission assessment device 10 estimates movement characteristics such as movement speed and movement time from images from a drive recorder or the like. Therefore, since the greenhouse gas emission assessment device 10 does not use GPS (Global Positioning System) information, it can use images from an inexpensive drive recorder that does not have a GPS information acquisition means. Therefore, it is possible to assess greenhouse gas emissions at low cost.

[0038] As a related technique, there is a technique for evaluating greenhouse gas emissions according to vehicle information such as vehicle type and vehicle speed detected by a roadside camera. However, this technique is limited in the places where it can be installed. Therefore, the places where the greenhouse gas emissions can be evaluated are also limited. Therefore, it is difficult to evaluate the greenhouse gas emissions of the entire road on which the vehicle 20 has traveled.

[0039] In contrast, in the present embodiment, the greenhouse gas emissions are evaluated using images captured by the imaging unit 21 disposed in the vehicle 20. Therefore, it is possible to evaluate the greenhouse gas emissions over the entire travel route on which the vehicle 20 has traveled.

[0040] Another related technology is a technology for evaluating greenhouse gas emissions using various sensors mounted on the vehicle 20. However, information acquired by the various sensors mounted on the vehicle 20 can only be used by limited businesses such as automobile vendors, making it difficult for businesses that use the vehicle 20 to evaluate greenhouse gas emissions. Also, in addition to the sensors that are standardly mounted on the vehicle 20, it is costly to newly install a dedicated sensor for evaluating greenhouse gas emissions externally on the vehicle 20.

[0041] As such, there has been a demand for technology that enables businesses other than automobile vendors, such as users of vehicle 20 or businesses that use vehicle 20, to easily and at low cost measure greenhouse gas emissions over the entire road without relying on information from sensors that are standardly installed on vehicle 20.

[0042] In this embodiment, the greenhouse gas emissions can be evaluated from images captured by a drive recorder or the like that is generally attached to a vehicle 20, etc. This makes it possible to easily evaluate the greenhouse gas emissions over the entire road at low cost.

[0043] <Embodiment 2> Next, a greenhouse gas emission assessment device 10a according to a second embodiment will be described. Fig. 6 is a block diagram illustrating the greenhouse gas emission assessment device 10a according to the present disclosure. As shown in Fig. 6, the greenhouse gas emission assessment device 10a further includes a mobile body estimation unit 12. The mobile body estimation unit 12 has a function as a mobile body estimation means.

[0044] The moving object estimation unit 12 estimates the type of the moving object from the environmental information included in the video of the environment. The environmental information includes information associated with the moving object. The environmental information may include, for example, information on energy supply facilities for the vehicle 20, such as a gas station or a charging station. The environmental information may also include information on a parking lot where the vehicle 20 is parked. The environmental information may also include information on a toll booth, such as ETC on a highway. In addition, the environmental information may include road attributes such as the width of the road on which the vehicle 20 runs, regulatory information such as height restrictions and traffic regulations set on the road on which the vehicle 20 runs, and road types such as highways. The environmental information may also include bus-only roads and taxi-only roads. When the vehicle runs on a bus-only road, it can be estimated that the vehicle is a bus and a large vehicle as the type. When the vehicle runs on a taxi-only section, it can be estimated that the vehicle is a taxi and a regular car as the type.

[0045] 7 to 10 are schematic diagrams illustrating environmental information in the greenhouse gas emission evaluation device 10a according to the present disclosure. As shown in FIG. 7, an image 22c of the environment captured by the image capture unit 21 includes a gas station GS as environmental information. The movement characteristic estimation unit 11 estimates, from the amount of change in the image 22c, that the vehicle 20 has stopped at the position of the gas station GS as a movement characteristic. The movement characteristic estimation unit 11 then estimates that the vehicle 20 has refueled at the gas station GS. In this case, the moving object estimation unit 12 estimates that the type of the vehicle 20 is a gasoline-powered vehicle. Note that the vehicle 20d shown in FIG. 7 is another vehicle 20d different from the host vehicle 20 in which the image capture unit 21 is located.

[0046] As shown in Fig. 8, the image 22d of the environment captured by the image capturing unit 21 includes a charging station ES as environmental information. From the amount of change in the image 22d, the movement characteristic estimation unit 11 estimates that the vehicle 20 stopped at the position of the charging station ES as a movement characteristic. The movement characteristic estimation unit 11 then estimates that the vehicle 20 was charged at the charging station ES. In this case, the moving object estimation unit 12 estimates that the type of the vehicle 20 is an EV.

[0047] As shown in Fig. 9, the image 22e of the environment captured by the image capturing unit 21 includes a parking lot PA as environmental information. The movement characteristic estimation unit 11 estimates that the vehicle 20 is parked in a space for light vehicles in the parking lot PA. In this case, the mobile object estimation unit 12 estimates that the type of the vehicle 20 is a light vehicle based on the space in which the vehicle 20 is parked. Note that if the space in which the vehicle 20 is parked is for standard vehicles or large vehicles, the mobile object estimation unit 12 estimates that the type of the vehicle 20 is a standard vehicle or large vehicle, respectively.

[0048] As shown in Fig. 10, the image 22f of the environment captured by the image capturing unit 21 includes an ETC (Electronic Toll Collection) toll gate as environmental information. The movement characteristic estimation unit 11 estimates that the toll for large vehicles was paid on a display unit such as a monitor at the toll gate ETC. In this case, the moving object estimation unit 12 estimates that the type of the vehicle 20 is a large vehicle.

[0049] The video 22 may include audio data as environmental information. The moving object estimation unit 12 may estimate the type of the vehicle 20 from the sound emitted by the vehicle 20. For example, the moving object estimation unit 12 preliminarily records the sounds emitted by the vehicle 20, such as a light vehicle, a small vehicle, a medium-sized vehicle, and a large vehicle, together with the video 22 as the type. The moving object estimation unit 12 also preliminarily records the sounds emitted by the vehicle 20, such as a gasoline vehicle, an electric vehicle, and the like, together with the video 22 as the type. The moving object estimation unit 12 may then estimate the type of the vehicle 20 by comparing the sounds with the stored sounds.

[0050] The evaluation unit 15 evaluates the greenhouse gas emission amount by using the movement characteristics and the type of the vehicle 20. For example, the evaluation unit 15 changes the emission coefficient used when evaluating the greenhouse gas emission amount depending on the type of the vehicle 20.

[0051] 11 is a flow chart illustrating a greenhouse gas emission assessment method using the greenhouse gas emission assessment device 10a according to the present disclosure. As shown in FIG. 11, the greenhouse gas emission assessment method further includes a step S12 of estimating a moving body.

[0052] In a step S12 of estimating a moving object, the moving object estimation unit 12 estimates the type of the moving object from environmental information included in an image of the environment and associated with the moving object. In a step S15 of evaluating, the evaluation unit 15 evaluates the greenhouse gas emissions using the movement characteristics and the type.

[0053] According to this embodiment, the moving object estimation unit 12 estimates the type of the host vehicle 20, etc., which is not directly captured in the image 22, from the image 22 captured by the imaging unit 21. Therefore, the evaluation unit 15 can evaluate the greenhouse gas emissions taking into account the type of the vehicle 20. This can improve the accuracy of the evaluation of the greenhouse gas emissions.

[0054] <Embodiment 3> Next, a greenhouse gas emission assessment device 10b according to a third embodiment will be described. Fig. 12 is a block diagram illustrating the greenhouse gas emission assessment device 10b according to the present disclosure. As shown in Fig. 12, the greenhouse gas emission assessment device 10b further includes a classification unit 13. The classification unit 13 has a function as a classification means.

[0055] The classification unit 13 classifies the travel environment in which the vehicle 20 travels from the image of the environment. The travel environment includes a state in which the road on which the vehicle 20 travels is a slope, a state in which the vehicle 20 travels at high speed on an expressway or the like, a state in which the road on which the vehicle 20 travels is in a packed snow state during snowfall, a state in which the vehicle 20 travels in a convoy, and the like.

[0056] The evaluation unit 15 evaluates the greenhouse gas emissions using the travel characteristics and the classification result of the travel environment. For example, when the classification unit 13 classifies the travel environment as a slope state, the evaluation unit 15 evaluates the greenhouse gas emissions using the emission evaluation model A generated to correspond to the vehicle 20 traveling on a slope. When the classification unit 13 classifies the travel environment as a high-speed travel state, the evaluation unit 15 evaluates the greenhouse gas emissions using the emission evaluation model B generated to correspond to the vehicle 20 traveling at high speed. When the classification unit 13 classifies the travel environment as a packed snow road state, the evaluation unit 15 evaluates the greenhouse gas emissions using the emission evaluation model C generated to correspond to the vehicle 20 traveling on a packed snow road surface. When the classification unit 13 classifies the travel environment as a platooning state, the evaluation unit 15 evaluates the greenhouse gas emissions using the emission evaluation model D generated to correspond to the vehicle 20 traveling in a platoon.

[0057] 13 is a flow chart illustrating a greenhouse gas emission assessment method using the greenhouse gas emission assessment device 10b according to the present disclosure. As shown in FIG 11, the greenhouse gas emission assessment method further includes a step S13 of classifying the travel environment.

[0058] In step S13 of classifying the moving environment, the moving environment in which the moving object moves is classified from the video of the environment by the classification unit 13. In step S15 of evaluation, the evaluation unit 15 is caused to evaluate the greenhouse gas emissions using the moving characteristics and the classification result of the moving environment.

[0059] According to this embodiment, the classification unit 13 classifies the moving environment in which the moving object moves from the video 22 of the environment captured by the imaging unit 21. Therefore, the evaluation unit 15 can evaluate the greenhouse gas emissions taking into account the moving environment. This can improve the accuracy of the evaluation of the greenhouse gas emissions.

[0060] Furthermore, when the moving body is a vehicle 20 and the image capturing unit 21 is a drive recorder, the image capturing unit 21 can accurately determine whether the road is on a slope, whether the vehicle is traveling at high speed, whether the road surface is packed with snow, whether the vehicles are traveling in a convoy, etc. This can further improve the accuracy of the evaluation of greenhouse gas emissions.

[0061] <Embodiment 4> Next, a greenhouse gas emission assessment apparatus 10c according to a fourth embodiment will be described. Fig. 14 is a block diagram illustrating the greenhouse gas emission assessment apparatus 10c according to the present disclosure. As shown in Fig. 14, the greenhouse gas emission assessment apparatus 10c further includes a correction unit 14. The correction unit 14 functions as a correction means.

[0062] The correction unit 14 corrects the emission assessment model that evaluates the amount of greenhouse gas emissions. For example, the emission assessment model may include the emission assessment model A to the emission assessment model D described above. The emission assessment model may also include the emission assessment model E generated to correspond to a vehicle 20 that runs normally on dry flat ground at a legal speed. The emission assessment model has a corresponding energy refill interval. For example, the emission assessment model A generated to correspond to a vehicle 20 that runs on a slope and the emission assessment model B generated to correspond to a vehicle 20 that runs at high speed consume a lot of energy such as gasoline. Therefore, the refill interval of these energies is shorter than that of the emission assessment model E generated to correspond to a vehicle 20 that runs normally. On the other hand, the emission assessment model D generated to correspond to a vehicle 20 that runs in a platoon consumes less energy such as gasoline. Therefore, the energy refill interval of the emission assessment model D is longer than that of the emission assessment model E.

[0063] The movement characteristic estimation unit 11 calculates the refill interval of the energy used for moving the vehicle 20 from the amount of change in the image captured of the environment outside the vehicle 20. Specifically, the movement characteristic estimation unit 11 calculates the refill interval of the energy from the interval at which the vehicle stops at gas stations in the captured image.

[0064] If the refill interval obtained from the video 22 is not a refill interval corresponding to the emission assessment model, the correction unit 14 corrects the emission assessment model. For example, if the refill interval obtained from the video 22 is longer than the refill interval of the currently used emission assessment model, the correction unit 14 corrects the emission assessment model to one having a longer refill interval than the current emission assessment model. In this way, the correction unit 14 corrects the emission assessment model based on the refill interval. The evaluation unit 15 evaluates the greenhouse gas emissions using the corrected emission assessment model.

[0065] Fig. 15 is a flow chart illustrating a greenhouse gas emission assessment method using the greenhouse gas emission assessment device 10c according to the present disclosure. As shown in step S11 of Fig. 15, movement characteristics are estimated. Specifically, the greenhouse gas emission assessment device 10c causes the movement characteristic estimation unit 11 to estimate the movement characteristics including the movement speed of the moving object from the amount of change in an image captured by the imaging unit 21 arranged in the moving object of the environment outside the moving object.

[0066] Next, as shown in step S13, the classification unit 13 classifies the moving environment in which the moving object moves from the video of the environment. Next, as shown in step S13a, the greenhouse gas emission assessment device 10c determines whether energy has been charged. If energy has not been charged in step S13a (NO), the greenhouse gas emission assessment device 10c causes the assessment unit 15 to evaluate the greenhouse gas emissions using the moving characteristics and the classification result of the moving environment, as shown in step S15.

[0067] On the other hand, if energy has been charged in step S13a (YES), it is determined in step S13b whether the charging interval is a predetermined interval. Specifically, the greenhouse gas emission evaluation device 10c determines whether the charging interval is compatible with the current emission evaluation model. If the charging interval is a predetermined interval (YES) in step S13b, the process proceeds to step S15, where the evaluation unit 15 evaluates the greenhouse gas emissions.

[0068] On the other hand, if it is determined in step S13b that the refill interval is not a predetermined interval (NO), as shown in step S14, the greenhouse gas emission evaluation device 10c causes the correction unit 14 to correct the emission assessment model based on the refill interval. Then, the process proceeds to step S15, where the evaluation unit 15 evaluates the greenhouse gas emissions using the corrected emission assessment model.

[0069] According to this embodiment, the movement characteristic estimation unit 11 obtains the recharge interval of the energy used for the movement of the moving body. The correction unit 14 corrects the emission assessment model based on the recharge interval. The evaluation unit 15 evaluates the greenhouse gas emission amount using the corrected emission assessment model. Thus, the evaluation unit 15 can evaluate the greenhouse gas emission amount using an appropriate emission assessment model. This can improve the accuracy of the evaluation.

[0070] <Embodiment 5> Next, a greenhouse gas emission assessment device 10d according to a fifth embodiment will be described. FIG. 16 is a block diagram illustrating a greenhouse gas emission assessment device 10d according to the present disclosure. As shown in FIG. 16, the greenhouse gas emission assessment device 10d further includes a position information estimation unit 11a. The position information estimation unit 11a functions as a position information estimation means.

[0071] The position information estimation unit 11a estimates the position of the moving body from landmark information included in the video of the environment. For example, the position information estimation unit 11a estimates the position of the moving body that has emitted greenhouse gas from the landmark information. Then, the position information estimation unit 11a associates the position of the moving body that has emitted greenhouse gas with the landmark information. In this way, the position information estimation unit 11a can map the position of the moving body that has emitted greenhouse gas on a map. The evaluation unit 15 evaluates the amount of greenhouse gas emissions using the movement characteristics and position information of the moving body.

[0072] Fig. 17 is a flow chart illustrating a greenhouse gas emission assessment method using the greenhouse gas emission assessment device 10d according to the present disclosure. As shown in Fig. 17, the greenhouse gas emission assessment method further includes a step S11a of estimating position information. In the step S11a of estimating position information, the position information estimation unit 11a estimates the position of the moving object from landmark information included in the video of the environment. In the step S15 of evaluation, the evaluation unit 15 evaluates the greenhouse gas emission amount using the movement characteristics and position information of the moving object.

[0073] According to this embodiment, the location information estimation unit 11a estimates the location of the moving object from landmark information included in the video of the environment, and therefore the location information of the greenhouse gas emission can be associated with the map. This makes it possible to identify the location of the greenhouse gas emission.

[0074] Fig. 17 is a block diagram illustrating a greenhouse gas emission assessment device 10d according to the present disclosure. As shown in Fig. 17, the greenhouse gas emission assessment device 10d may include a movement characteristic estimation unit 11, a position information estimation unit 11a, a mobile object estimation unit 12, a classification unit 13, a correction unit 14, and an assessment unit 15. The operation and effects of each component of the greenhouse gas emission assessment device 10d include the operation and effects described in the first to fourth embodiments.

[0075] Fig. 18 is a flow chart illustrating a greenhouse gas emission assessment method using the greenhouse gas emission assessment device 10d according to the present disclosure. As shown in Fig. 18, the greenhouse gas emission assessment method may include steps S11, S11a, S12, S13, S13a, S13b, S14, and S15. Each step includes the operations and effects described in the first to fourth embodiments.

[0076] Although the present disclosure has been described above with reference to the embodiments, the present disclosure is not limited to the above-mentioned embodiments. Various modifications that can be understood by a person skilled in the art can be made to the configuration and details of the present disclosure within the scope of the present disclosure. Furthermore, each embodiment can be appropriately combined with other embodiments.

[0077] Each drawing is merely an example for describing one or more embodiments. Each drawing may relate not only to one particular embodiment, but to one or more other embodiments. As can be understood by those skilled in the art, various features or steps described with reference to any one drawing may be combined with features or steps shown in one or more other drawings to create an embodiment not explicitly shown or described, for example. Not all features or steps shown in any one drawing are necessary to describe an exemplary embodiment, and some features or steps may be omitted. The order of steps described in any drawing may be changed as appropriate.

[0078] A part or all of the above-described embodiments can be described as, but is not limited to, the following supplementary notes.

[0079] (Appendix 1) a movement characteristic estimation unit that estimates movement characteristics including a movement speed of the moving body from an amount of change in an image captured by an image capture unit disposed in the moving body of an environment outside the moving body; an evaluation unit for evaluating greenhouse gas emissions of the moving object based on the movement characteristics; A greenhouse gas emissions assessment device equipped with (Appendix 2) a moving object estimation unit that estimates a type of the moving object from environmental information included in the image of the environment and associated with the moving object; The evaluation unit evaluates the greenhouse gas emission amount by using the movement characteristics and the type. 2. A greenhouse gas emission assessment device as described in appendix 1. (Appendix 3) A classification unit that classifies a moving environment in which the moving object moves from the image of the environment, The evaluation unit evaluates the greenhouse gas emissions using the movement characteristics and the classification result of the movement environment. 2. A greenhouse gas emission assessment device as described in appendix 1. (Appendix 4) the movement characteristic estimation unit estimates the movement characteristic of each of the moving objects from the amount of change in the video captured by each of the image capture units disposed on the plurality of moving objects; The evaluation unit evaluates the greenhouse gas emissions of each moving object. 2. A greenhouse gas emission assessment device as described in appendix 1. (Appendix 5) the environmental information includes audio data; The moving object estimation unit estimates the type of the moving object from a sound emitted by the moving object. 2. A greenhouse gas emission assessment device as described in appendix 2. (Appendix 6) The method further includes a position information estimation unit that estimates a position of the moving object from landmark information included in the image of the environment. 2. A greenhouse gas emission assessment device as described in appendix 1. (Appendix 7) A correction unit that corrects an emission assessment model for evaluating the greenhouse gas emission effect, The movement characteristic estimation unit calculates a charging interval of energy used for the movement of the moving object, The correction unit corrects the emission amount evaluation model based on the filling interval, The evaluation unit evaluates the greenhouse gas emissions using the corrected emission evaluation model. 2. A greenhouse gas emission assessment device as described in appendix 1. (Appendix 8) The apparatus further includes an output unit that outputs the evaluation result of the greenhouse gas emission amount. 2. A greenhouse gas emission assessment device as described in appendix 1. (Appendix 9) an estimation unit that estimates a moving speed of the vehicle based on an image of an area outside the vehicle captured by a camera disposed in the vehicle; an evaluation unit that evaluates an amount of greenhouse gas emissions emitted by the vehicle based on at least the travel speed; A greenhouse gas emissions assessment device equipped with (Appendix 10) a movement characteristic estimation unit estimating movement characteristics including a movement speed of the moving body from an amount of change in an image captured by an image capture unit disposed in the moving body of an environment outside the moving body; causing an evaluation unit to evaluate an amount of greenhouse gas emissions from the moving object based on the movement characteristics; Greenhouse gas emissions assessment methods. (Appendix 11) a movement characteristic estimation unit estimating movement characteristics including a movement speed of the moving body from an amount of change in an image captured by an image capture unit disposed in the moving body of an environment outside the moving body; causing an evaluation unit to evaluate an amount of greenhouse gas emissions from the moving object based on the movement characteristics; A greenhouse gas emissions assessment program that uses a computer to do this.

[0080] Some or all of the elements (e.g., configurations and functions) described in Supplementary Notes 2 to 8 that are dependent on Supplementary Note 1 may also be dependent on Supplementary Notes 9, 10, and 11 in the same dependent relationship as Supplementary Notes 2 to 8. Some or all of the elements described in any Supplementary Note may be applied to various hardware, software, recording means for recording software, systems, and methods. [Explanation of symbols]

[0081] 10, 10a, 10b, 10c, 10d, 11e Greenhouse gas emission evaluation device 11. Mobility characteristic estimation unit 11a Location information estimation section 12 Mobile object estimation section 13 Classification section 14 Correction section 15 Evaluation Section 20, 20a, 20b, 20c, 20d Vehicles 21, 21a, 21b, 21c Photography Department 22, 22a, 22b, 22c, 22d, 22e, 22f Video 23 Output section 30 Management Center ES Charging Station ETC toll gate GS Gas Station MMR Memory NW Network PA Parking PRC Processor STR storage UI User Interface

Claims

1. a movement characteristic estimation unit that estimates movement characteristics including a movement speed of the moving body from an amount of change in an image captured by an image capture unit disposed in the moving body of an environment outside the moving body; an evaluation unit for evaluating greenhouse gas emissions of the moving object based on the movement characteristics; A greenhouse gas emissions assessment device equipped with

2. a moving object estimation unit that estimates a type of the moving object from environmental information included in the image of the environment and associated with the moving object; The evaluation unit evaluates the greenhouse gas emission amount by using the movement characteristics and the type. The greenhouse gas emission evaluation device according to claim 1 .

3. A classification unit that classifies a moving environment in which the moving object moves from the image of the environment, The evaluation unit evaluates the greenhouse gas emissions using the movement characteristics and the classification result of the movement environment. The greenhouse gas emission evaluation device according to claim 1 .

4. the movement characteristic estimation unit estimates the movement characteristic of each of the moving objects from the amount of change in the video captured by each of the image capture units disposed on the plurality of moving objects; The evaluation unit evaluates the greenhouse gas emissions of each moving object. The greenhouse gas emission evaluation device according to claim 1 .

5. the environmental information includes audio data; The moving object estimation unit estimates the type of the moving object from a sound emitted by the moving object. The greenhouse gas emission evaluation device according to claim 2 .

6. The method further includes a position information estimation unit that estimates a position of the moving object from landmark information included in the image of the environment. The greenhouse gas emission evaluation device according to claim 1 .

7. A correction unit that corrects an emission assessment model for evaluating the greenhouse gas emission effect, The movement characteristic estimation unit calculates a charging interval of energy used for the movement of the moving object, The correction unit corrects the emission amount evaluation model based on the filling interval, The evaluation unit evaluates the greenhouse gas emissions using the corrected emission evaluation model. The greenhouse gas emission evaluation device according to claim 1 .

8. an estimation unit that estimates a moving speed of the vehicle based on an image of an area outside the vehicle captured by a camera disposed in the vehicle; an evaluation unit that evaluates an amount of greenhouse gas emissions emitted by the vehicle based on at least the travel speed; A greenhouse gas emissions assessment device equipped with

9. a movement characteristic estimation unit estimating movement characteristics including a movement speed of the moving body from an amount of change in an image captured by an image capture unit disposed in the moving body of an environment outside the moving body; causing an evaluation unit to evaluate an amount of greenhouse gas emissions from the moving object based on the movement characteristics; Greenhouse gas emissions assessment methods.

10. a movement characteristic estimation unit estimating movement characteristics including a movement speed of the moving body from an amount of change in an image captured by an image capture unit disposed in the moving body of an environment outside the moving body; causing an evaluation unit to evaluate an amount of greenhouse gas emissions from the moving object based on the movement characteristics; A greenhouse gas emissions assessment program that uses a computer to do this.

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