Monitoring device, monitoring method, and monitoring program

Abstract

To prevent false detection.SOLUTION: A monitoring device 100 is provided, comprising an acquisition unit 122 configured to acquire coordinates of a moving object as identified based on information detected by a moving object sensor provided in a vehicle, an estimation unit 123 for estimating the weather based on the coordinates of the moving object, and a modification unit 124 for modifying settings of the moving object sensor provided in the vehicle according to the weather estimated by the estimation unit 123.SELECTED DRAWING: Figure 1

Description

Technical Field

[0001] The present invention relates to a monitoring device, a monitoring method, and a monitoring program.

Background Art

[0002] Conventionally, with respect to a microwave sensor that detects an object using microwaves, there is a technique for accurately discriminating between an object to be detected such as a human body and an object not to be detected (for example, plants swayed by the wind) and avoiding false alarms (for example, Patent Document 1).

Prior Art Documents

Patent Documents

[0003]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0004] However, in the prior art, there are cases where false detections cannot be prevented. For example, a moving object sensor provided in a vehicle may misdetect raindrops as a person who is an object to be detected. Thus, as an example of the problem to be solved by the present invention, the above-described problem can be cited.

Means for Solving the Problems

[0005] In order to solve the above-described problems and achieve the object, the invention according to claim 1 includes an acquisition unit that acquires coordinates of a moving object specified based on information detected by a moving object sensor provided in a vehicle, an estimation unit that estimates the weather based on the coordinates of the moving object, and a change unit that changes the setting of the moving object sensor provided in the vehicle according to the weather estimated by the estimation unit.

[0006] The invention according to claim 4 is a method executed by a monitoring device, comprising: an acquisition step of acquiring coordinates of a moving object specified based on information detected by a moving object sensor provided inside a vehicle; an estimation step of estimating weather based on the coordinates of the moving object; and a change step of changing settings of the moving object sensor provided inside the vehicle according to the weather estimated in the estimation step.

[0007] The invention according to claim 5 is characterized in that a computer is caused to execute an acquisition step of acquiring coordinates of a moving object specified based on information detected by a moving object sensor provided inside a vehicle, an estimation step of estimating weather based on the coordinates of the moving object, and a change step of changing settings of the moving object sensor provided inside the vehicle according to the weather estimated in the estimation step.

Brief Description of the Drawings

[0008]

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Embodiments for Carrying Out the Invention

[0009] Next, with reference to the drawings, embodiments for carrying out the present invention (hereinafter referred to as embodiments) will be described. Note that the present invention is not limited by the embodiments described below. Further, in the description of the drawings, the same parts are denoted by the same reference numerals.

[0010] [First Embodiment] [1. Overview] First, an overview of the monitoring device 100 according to the first embodiment will be described. The monitoring device 100 is a device that changes the settings of a moving body sensor according to the weather. Conventionally, for the purpose of preventing acts such as automobile theft and vandalism in a parked vehicle, the parked vehicle has been monitored. In a device or the like for monitoring a parked vehicle, a person who approaches or peeks into the parked vehicle is regarded as an object to be detected. However, when raindrops are detected by the moving body sensor, there may be a false detection that a person, who is an object to be detected, exists.

[0011] Therefore, the monitoring device 100 prevents false detection by changing the settings of the moving body sensor according to the weather estimated based on the coordinates of the moving body. For example, the monitoring device 100 acquires the coordinates of the moving body specified based on the information detected by the moving body sensor provided in the vehicle, estimates the weather based on the coordinates of the moving body, and changes the settings of the moving body sensor provided in the vehicle according to the estimated weather. The monitoring according to the following embodiments shows an example realized only by the monitoring device 100 provided in the vehicle.

[0012] [2. Configuration of Monitoring Device] Next, with reference to FIG. 1, the monitoring device 100 according to the embodiment will be described. FIG. 1 is a diagram showing a configuration example of the monitoring device 100 according to the embodiment. As shown in FIG. 1, the monitoring device 100 includes a communication unit 110, a storage unit 130, and a control unit 120. Hereinafter, each unit included in the monitoring device 100 will be described.

[0013] The communication unit 110 is implemented by, for example, a NIC (Network Interface Card) or the like. The communication unit 110 is connected to the network N in a wired or wireless manner and transmits and receives information to and from, for example, an external device.

[0014] The storage unit 130 is implemented by, for example, a semiconductor memory element such as a RAM (Random Access Memory) or a flash memory, or a storage device such as a hard disk or an optical disk. The storage unit 130 stores information such as the intensity of the signal to be transmitted, the sensitivity to receive the signal, the intensity of the received signal, the angle calculated from the received signal, the distance, the coordinates of the moving object, the installation position of the moving object sensor, and other information necessary for estimating the weather.

[0015] The control unit 120 is implemented using a CPU (Central Processing Unit), an NP (Network Processor), an FPGA (Field Programmable Gate Array), etc., and executes a processing program stored in a memory. As shown in FIG. 1, the control unit 120 includes a sensor unit 121, an acquisition unit 122, an estimation unit 123, a change unit 124, and a notification unit 125. Hereinafter, each unit included in the control unit 120 will be described.

[0016] The sensor unit 121 detects (acquires) information using various sensors. For example, the sensor unit 121 detects a moving object using a moving object sensor such as a distance sensor, a microwave sensor, or a LiDAR (light detection and ranging). Further, the sensor unit 121 detects the position of the vehicle using a positioning sensor such as a GNSS (Global Navigation Satellite System) sensor or a GPS (Global Positioning System) sensor. Further, the sensor unit 121 detects the acceleration of the vehicle using an acceleration sensor. Further, for example, the sensor unit 121 detects the angular velocity of the vehicle using a gyro sensor. Further, for example, the sensor unit 121 acquires an image (moving image / still image) around the vehicle using an imaging device.

[0017] The acquisition unit 122 acquires the coordinates of a moving object identified based on the information detected by a moving object sensor provided inside the vehicle. For example, the acquisition unit 122 acquires the coordinates of a moving object identified from the distance and angle information obtained by analyzing the signal detected by a moving object sensor provided inside the vehicle. Further, the acquisition unit 122 also acquires the intensity of the signal detected by the moving object sensor. For example, in addition to the coordinates of the moving object, the acquisition unit 122 acquires the intensity of the signal detected by a moving object sensor provided inside the vehicle.

[0018] Note that the installation location of the moving object sensor is not limited as long as it is inside the vehicle. For example, as shown in FIG. 2(1), it may be installed near the rearview mirror, or as shown in FIG. 2(2), it may be installed on the center pillar. That is, the moving object sensor is installed at a part inside the vehicle according to the purpose, such as a front pillar, a center pillar, a rear pillar, a rearview mirror, a ceiling, a seat, or a rear glass.

[0019] The estimation unit 123 estimates the weather based on the coordinates of the moving object. For example, the estimation unit 123 estimates the weather based on the coordinates of the moving object and the intensity of the signal. More specifically, the estimation unit 123 estimates that it is a rainy day when the standard deviation of the movement amount of the moving object is within a predetermined range, the average value of the intensity of the signal received by the moving object sensor is less than a predetermined threshold value, the standard deviation of the intensity of the signal is less than a predetermined threshold value, and the coordinates of the moving object are within a predetermined range. Here, the movement amount (movement distance) may be the movement amount of the coordinates of the moving object acquired by the acquisition unit 122, or the movement amount of the center of gravity, which is the midpoint of the coordinates of consecutive moving objects.

[0020] Further, the standard deviation may be calculated for samples from a certain sample up to a predetermined period (for example, 2.0 seconds) before, or for samples from a certain sample up to a predetermined number (for example, 40) before.

[0021] That is, the estimation unit 123 estimates that it is a rainy day when the standard deviation of the moving amount of the moving object is within a predetermined range for a period of a predetermined ratio or more within a predetermined period, and the average value of the intensity of the signal received by the moving object sensor is less than a predetermined threshold value, and the standard deviation of the intensity of the signal received by the moving object sensor is less than a predetermined threshold value for a period of a predetermined ratio or more within a predetermined period, and the coordinates of the moving object are within a predetermined range for a period of a predetermined ratio or more within a predetermined period.

[0022] More specifically, the estimation unit 123 estimates that it is a rainy day when the standard deviation of the moving amount of the moving object is within a predetermined range (25 to 75) for 80% or more of the period of 1.5 seconds, and the average of the intensity of the signal received by the moving object sensor for 0.5 seconds is less than 14.5, and the standard deviation of the intensity of the signal received by the moving object sensor is less than the threshold value (0.7) for 80% or more of the period of 1.5 seconds, and the absolute value of the X coordinate of the moving object is less than 300 cm for 80% or more of the period of 1.5 seconds, and the Y coordinate of the moving object exceeds -50 cm for 80% or more of the period of 1.5 seconds.

[0023] Note that the conditions of the above time elements may be represented by the number of data. For example, when 20 data are taken per second, the above 1.5 seconds is represented by 30 data. That is, the estimation unit 123 estimates that it is a rainy day when the standard deviation of the moving amount of the moving object is within a predetermined range (25 to 75) with 24 or more data, and the average of 10 data of the intensity of the signal received by the moving object sensor is less than 14.5, and the standard deviation of the intensity of the signal received by the moving object sensor is less than the threshold value (0.7) with 24 or more data, and the absolute value of the X coordinate of the moving object is less than 300 cm with 24 or more data, and the Y coordinate of the moving object exceeds -50 cm with 24 or more data.

[0024] The changing unit 124 changes the settings of the moving body sensor provided in the vehicle according to the weather estimated by the estimating unit 123. For example, when the estimating unit 123 determines that it is a rainy day, the changing unit 124 changes the sensitivity of the moving body sensor. For example, when the estimating unit 123 estimates that it is a rainy day, the changing unit 124 reduces the sensitivity of receiving the signal of the moving body sensor. Also, for example, when it is estimated that it is a rainy day, the changing unit 124 reduces the sensitivity of receiving the signal from a predetermined angle (〇〇〇° to 〇〇〇°). That is, the changing unit 124 changes the settings so as not to receive the signal from the angle at which false detections frequently occur due to rain.

[0025] The notification unit 125 performs a predetermined notification based on one or more of the position of the moving body acquired by the acquisition unit 122 and the position of the moving body estimated by the estimation unit 123. For example, when one or more of the position of the moving body acquired by the acquisition unit 122 and the position of the moving body estimated by the estimation unit 123 are in a predetermined positional relationship (for example, within a predetermined distance) with the vehicle, it is notified to the pre-registered user terminal that a moving body is approaching the vehicle. Note that the notification to the user terminal includes those that can be performed using the functions provided in the user terminal, such as e-mail, incoming call, and notification to the application. At this time, the notification unit 125 may transmit the image captured by the imaging device to the user terminal.

[0026] Also, for example, when one or more of the position of the moving body acquired by the acquisition unit 122 and the position of the moving body estimated by the estimation unit 123 are in a predetermined positional relationship (for example, within a predetermined distance) with the vehicle, the notification unit 125 issues an alarm by sound or light around the vehicle using a speaker or a light.

[0027] 〔3. Estimation process〕 Next, with reference to FIGS. 3 and 4, the estimation process by the monitoring device 100 will be described. FIGS. 3 and 4 are diagrams for explaining an example of the estimation process by the monitoring device 100. FIG. 3 shows data identified based on information detected by the moving object sensor in a rainy situation. For example, information such as the coordinates (X, Y) of the moving object and the signal strength (Level) is shown. Here, in rainy weather, characteristic movements of the coordinates of the moving object and changes in the signal strength as described below can be observed.

[0028] For example, when the moving object sensor detects raindrops as a moving object, as shown by the dotted line portion in the coordinates of the moving object in FIG. 3, the coordinates of the moving object have the characteristic of fluctuating within a predetermined range. That is, when the moving object sensor detects raindrops as a moving object, the standard deviation of the movement amount takes a value within a predetermined range. Also, for example, when the moving object sensor detects raindrops as a moving object, as shown by the dotted line portion in the signal strength in FIG. 3, since the signal strength is low, the average value of the signal strength is equal to or less than a predetermined threshold.

[0029] Also, for example, when the moving object sensor detects raindrops as a moving object, as shown by the dotted line portion in the signal strength in FIG. 3, since the fluctuation of the signal strength is small, the standard deviation of the signal strength takes a low value. Also, for example, when the moving object sensor detects raindrops as a moving object, since it is detected in the vicinity of the moving object sensor, most of the coordinates of the moving object take values within a predetermined range.

[0030] Therefore, based on the conditions shown in FIG. 4, when raindrops are detected by the moving object sensor, the estimation unit 123 estimates rainy weather from the movement of coordinates and the change in signal intensity that are characteristically observed. For example, when the standard deviation of the movement amount of the moving object is within a predetermined range (25 to 75) during 80% or more of a 1.5 - second period, and the average of the signal intensity received by the moving object sensor is less than 14.5 for 0.5 seconds, and the standard deviation of the signal intensity received by the moving object sensor is less than the threshold value (0.7) during 80% or more of a 1.5 - second period, and the absolute value of the X - coordinate of the moving object is less than 300 cm during 80% or more of a 1.5 - second period, and the Y - coordinate of the moving object exceeds - 50 cm during 80% or more of a 1.5 - second period, the estimation unit 123 estimates that it is a rainy day.

[0031] Thus, when the monitoring device 100 detects raindrops as moving objects, it can estimate rainy weather from the movement of the coordinates of the moving objects and the signal intensity that are characteristically observed. Note that the distances on the X - coordinate and Y - coordinate from the above - mentioned moving object are examples of values shown by experiments using a minivan with an overall length of about 4600 mm and a width of about 1700 mm as the target vehicle. When using the technology described in this specification, it is desirable to appropriately change according to the vehicle type, vehicle size, situation, etc.

[0032] 〔4. Change Processing〕 Next, with reference to FIG. 5, the change processing performed by the monitoring device 100 will be described. FIG. 5 is a diagram for explaining an example of the change processing by the monitoring device 100. FIG. 5 shows an example of a rainy - day situation. When raindrops are detected by the moving object sensor, according to the above - mentioned estimation processing, the estimation unit 123 estimates that it is a rainy day.

[0033] After that, the change unit 124 changes the settings of the moving object sensor. For example, the change unit 124 lowers the reception sensitivity of the moving object sensor according to the estimation unit 123. That is, since the signal intensity when the moving object sensor detects raindrops as moving objects is low, by lowering the reception sensitivity of the moving object sensor, signals from raindrops can be prevented from being received, and false detection can be prevented.

[0034] At this time, the modification unit 124 may change the reception sensitivity only for a specific range. For example, when it is estimated that it is raining, the modification unit 124 lowers the sensitivity of receiving signals from a predetermined angle (〇〇〇° to 〇〇〇°). That is, depending on the location of the vehicle and environmental factors, etc., it is conceivable that raindrops may be detected as moving objects only at a specific angle. Therefore, by changing only the reception sensitivity for a specific angle, it is possible to prevent false detection by raindrops and continue monitoring by receiving signals from other moving objects.

[0035] [5. Flowchart] Next, the processing by the monitoring device 100 having the above-described configuration will be described with reference to the flowchart of FIG. 6. The flowchart of FIG. 6 is mainly executed by the control unit 120. Also, this flowchart can be configured as a program executed by the CPU included in the control unit 120 to form a monitoring program. Note that each of the following steps can also be executed in a different order, and there may be processes that are omitted.

[0036] First, the acquisition unit 122 acquires the coordinates of the moving object specified based on the information detected by the moving object sensor provided in the vehicle and the intensity of the signal received by the moving object sensor provided in the vehicle (step S101). For example, the acquisition unit 122 acquires the coordinates of the moving object specified from the information on the distance and angle obtained by analyzing the signal detected by the moving object sensor provided in the vehicle and the intensity of the signal received by the moving object sensor provided in the vehicle.

[0037] Subsequently, the estimation unit 123 determines whether the standard deviation of the amount of movement calculated from the coordinates of the moving object acquired by the acquisition unit 122 is less than the threshold value (step S102). Here, when it is determined by the estimation unit 123 that the standard deviation of the amount of movement is not less than the threshold value (step S102: No), the process returns to step S101 again.

[0038] On the other hand, when the estimation unit 123 determines that the standard deviation of the movement amount is less than the threshold value (step S102: Yes), the estimation unit 123 determines whether the average value of the signal strength acquired by the acquisition unit 122 is less than the threshold value (step S103). Here, when the estimation unit 123 determines that the average value of the signal strength is not less than the threshold value (step S103: No), the process returns to step S101 again.

[0039] On the other hand, when the estimation unit 123 determines that the average value of the signal strength is less than the threshold value (step S103: Yes), the estimation unit 123 determines whether the standard deviation of the signal strength acquired by the acquisition unit 122 is less than the threshold value (step S104). Here, when the estimation unit 123 determines that the standard deviation of the signal strength is not less than the threshold value (step S104: No), the process returns to step S101 again.

[0040] On the other hand, when the estimation unit 123 determines that the standard deviation of the signal strength is less than the threshold value (step S104: Yes), the estimation unit 123 determines whether the coordinates of the moving object are within a predetermined range (step S105). Here, when the estimation unit 123 determines that the coordinates of the moving object are not within the predetermined range (step S105: No), the process returns to step S101 again.

[0041] On the other hand, when the estimation unit 123 determines that the coordinates of the moving object are within the predetermined range (step S105: Yes), the estimation unit 123 estimates that it is a rainy day (step S106). Subsequently, the change unit 124 changes the setting of the moving object sensor (step S107). For example, when the estimation unit 123 estimates that it is a rainy day, the change unit 124 reduces the reception sensitivity of the moving object sensor.

[0042] 〔6. Effect〕 The monitoring device 100 according to the embodiment includes an acquisition unit 122 that acquires the coordinates of a moving object identified based on information detected by a moving object sensor provided inside the vehicle, an estimation unit 123 that estimates the weather based on the coordinates of the moving object, and a change unit 124 that changes the setting of the moving object sensor provided inside the vehicle according to the weather estimated by the estimation unit 123.

[0043] Accordingly, the monitoring device 100 can change the settings of the moving body sensor according to the weather estimated based on the coordinates of the moving body, and prevent false detection. That is, when the monitoring device 100 detects raindrops as a moving body, it can estimate that it is a rainy day from the movement of the coordinates of the moving body and the signal intensity that are characteristically observed, and prevent false detection by changing the settings of the moving body sensor.

[0044] The acquisition unit 122 of the monitoring device 100 according to the embodiment further acquires the intensity of the signal detected by the moving body sensor, and the estimation unit 123 estimates the weather based on the coordinates of the moving body and the intensity of the signal. Accordingly, the monitoring device 100 can change the settings of the moving body sensor according to the weather estimated based on the coordinates of the moving body and the intensity of the signal, and prevent false detection.

[0045] The estimation unit 123 of the monitoring device 100 according to the embodiment estimates that it is a rainy day when the standard deviation of the moving amount of the moving body is within a predetermined range, the average value of the intensity of the signal received by the moving body sensor is less than a predetermined threshold value, the standard deviation of the intensity of the signal is less than a predetermined threshold value, and the coordinates of the moving body are within a predetermined range. When the determination unit 124 determines that it is a rainy day by the estimation unit 123, the sensitivity of the moving body sensor is changed.

[0046] Accordingly, when the monitoring device 100 estimates that it is a rainy day, it can prevent false detection by reducing the reception sensitivity of the moving body sensor so that signals from raindrops are not received. In addition, the monitoring device 100 can receive signals from other moving bodies and perform detection without turning off the power of the moving body sensor while preventing false detection due to raindrops.

[0047] [Modification Example] [1. System Configuration] So far, an example has been described in which the monitoring according to the first embodiment is realized only by the monitoring device 100 provided in the vehicle. However, a modification of the above embodiment will be described below. As a modification example, an example will be described in which the monitoring according to the first embodiment is realized by the communication between the monitoring device 100 existing on the cloud and the in-vehicle device 10 provided in the vehicle. FIG. 7 is a diagram showing the configuration of the monitoring system according to the embodiment. In FIG. 7, a monitoring system 1 is shown as an example of the monitoring system according to the embodiment. Note that the description of the content common to the first embodiment will be omitted as appropriate.

[0048] As shown in FIG. 7, the monitoring system 1 includes an in-vehicle device 10 and a monitoring device 100. Further, the in-vehicle device 10 and the monitoring device 100 are communicably connected by wire or wirelessly via a network N. Also, the monitoring system 1 shown in FIG. 7 may include any number of in-vehicle devices 10 and any number of monitoring devices 100. Here, if the in-vehicle device 10 is an edge computer that performs edge processing near the user, the monitoring device 100 may be, for example, a cloud computer that performs processing on the cloud side. That is, the monitoring device 100 may be a server device. As shown in FIG. 7, in the present invention, the monitoring according to the embodiment is realized in the monitoring system 1 by transmitting and receiving information between the monitoring device 100, which is a server device existing on the cloud, and the in-vehicle device 10 provided in the vehicle.

[0049] The in-vehicle device 10 may be a dedicated sensor device built in or externally attached to the vehicle VEx, or may be a device such as a recording device (drive recorder) installed in the vehicle VEx for crime prevention or countermeasures against aggressive driving.

[0050] Further, the in-vehicle device 10 may be composed of a sensor device and a notification device. As an example of this, the in-vehicle device 10 may be a composite device in which independent sensor devices and notification devices are communicably connected to each other. Also, as another example, the in-vehicle device 10 may be a single device having a sensor function and a notification function.

[0051] In addition, the user can also substitute this by connecting a predetermined sensor to a portable terminal device (e.g., smartphone, tablet terminal, notebook PC, desktop PC, PDA, etc.) that is routinely used and introducing a predetermined application. For example, a portable terminal device equipped with a predetermined sensor or to which a predetermined sensor is connected can be construed as the in-vehicle device 10 herein. When the portable terminal device is utilized as the in-vehicle device 10, for example, it is installed on the dashboard of the vehicle VEx during driving.

[0052] In addition, the in-vehicle device 10 may be provided with various sensors. For example, the in-vehicle device 10 may be provided with a distance sensor, a moving object sensor such as a microwave sensor or LiDAR, a temperature sensor, a microphone, a positioning sensor such as a GNSS sensor or a GPS sensor, an acceleration sensor, a gyro sensor, an imaging device such as a camera, and various sensors such as a barometric pressure sensor.

[0053] The monitoring device 100 may acquire various data based on the sensor information detected by these sensors (e.g., by analyzing the sensor information). For example, the monitoring device 100 acquires information on moving objects inside and outside the vehicle from the moving object sensor. Also, for example, the monitoring device 100 acquires the temperature inside the vehicle from the temperature sensor. Also, for example, the monitoring device 100 acquires sound from the microphone. Also, for example, the monitoring device 100 acquires the angular velocity from the gyro sensor. Also, for example, the monitoring device 100 acquires data of a moving image obtained by photographing the outside from inside the vehicle VEx using the camera. Note that the monitoring device 100 may acquire the sensor information detected by not only the sensors provided in the in-vehicle device 10 but also the sensors provided in the vehicle VEx itself.

[0054] [2. Configuration of Monitoring Device] Next, the monitoring device 100 according to the embodiment will be described with reference to FIG. 8. FIG. 8 is a diagram showing a configuration example of the monitoring device 100 according to the embodiment. As shown in FIG. 8, the monitoring device 100 includes a communication unit 110, a storage unit 130, and a control unit 120.

[0055] The control unit 120 is implemented using a CPU, NP, FPGA, etc., and executes a processing program stored in a memory. As shown in FIG. 8, the control unit 120 includes an acquisition unit 122, an estimation unit 123, and a modification unit 124.

[0056] [Others] [1. Hardware Configuration] Also, the monitoring device 100 according to the above-described embodiments and modifications is realized by, for example, a computer 1000 having a configuration as shown in FIG. 9. FIG. 9 is a hardware configuration diagram showing an example of a computer that realizes the functions of the monitoring device 100. The computer 1000 includes a CPU 1100, a RAM 1200, a ROM 1300, an HDD 1400, a communication interface (I / F) 1500, an input / output interface (I / F) 1600, and a media interface (I / F) 1700.

[0057] The CPU 1100 operates based on a program stored in the ROM 1300 or the HDD 1400 and controls each part. The ROM 1300 stores a boot program executed by the CPU 1100 when the computer 1000 is started up, a program depending on the hardware of the computer 1000, and the like.

[0058] The HDD 1400 stores a program executed by the CPU 1100 and data used by such a program. The communication interface 1500 receives data from other devices via a predetermined communication network and sends it to the CPU 1100, and sends data generated by the CPU 1100 to other devices via a predetermined communication network.

[0059] The CPU 1100 controls output devices such as a display and a printer and input devices such as a keyboard and a mouse via the input / output interface 1600. The CPU 1100 acquires data from the input device via the input / output interface 1600. Also, the CPU 1100 outputs the generated data to the output device via the input / output interface 1600.

[0060] The media interface 1700 reads the program or data stored in the recording medium 1800 and provides it to the CPU 1100 via the RAM 1200. The CPU 1100 loads such a program from the recording medium 1800 onto the RAM 1200 via the media interface 1700 and executes the loaded program. The recording medium 1800 is, for example, an optical recording medium such as a DVD (Digital Versatile Disc), a PD (Phase change rewritable Disk), a magneto-optical recording medium such as an MO (Magneto-Optical disk), a tape medium, a magnetic recording medium, or a semiconductor memory, etc.

[0061] For example, when the computer 1000 functions as the monitoring device 100 according to the embodiment, the CPU 1100 of the computer 1000 realizes the functions of the control unit 120 by executing the program loaded on the RAM 1200. The CPU 1100 of the computer 1000 reads and executes these programs from the recording medium 1800. As another example, these programs may be acquired from another device via a predetermined communication network.

[0062] 〔2. Others〕 So far, an example of the embodiment according to the present invention has been described, but the present invention is not limited to the above examples. That is, those skilled in the art can variously modify and implement it according to the conventionally known knowledge without departing from the gist of the present invention. As long as the monitoring device of the present invention is still provided by such a modification, of course, it is included in the scope of the present invention.

Explanation of Reference Numerals

[0063] 1 Monitoring system 10 Vehicle-mounted device 100 Monitoring device 110 Communication unit 120 Control unit 121 Sensor unit 122 Acquisition unit 123 Estimation unit 124 Change unit 125 Notification Unit 130 Memory Unit

Claims

1. An acquisition unit that acquires the coordinates of a moving object identified based on information detected by a moving object sensor provided inside the vehicle; An estimation unit that estimates the weather based on the coordinates of the moving object; A change unit that changes the settings of the moving object sensor provided inside the vehicle according to the weather estimated by the estimation unit A monitoring device, characterized by comprising the above.

2. The acquisition unit further acquires the intensity of the signal detected by the moving object sensor, The estimation unit estimates the weather based on the coordinates of the moving object and the intensity of the signal The monitoring device according to claim 1, characterized by the above.

3. The estimation unit When the standard deviation of the movement amount of the moving object is within a predetermined range, the average value of the intensity of the signal received by the moving object sensor is less than a predetermined threshold value, the standard deviation of the intensity of the signal is less than a predetermined threshold value, and the coordinates of the moving object are within a predetermined range, it is estimated as a rainy day. The change unit When it is estimated as a rainy day by the estimation unit, changes the sensitivity of the moving object sensor The monitoring device according to claim 1, characterized by the above.

4. A method executed by a monitoring device, comprising: An acquisition step of acquiring the coordinates of a moving object identified based on information detected by a moving object sensor provided inside the vehicle; An estimation step of estimating the weather based on the coordinates of the moving object; A change step of changing the settings of the moving object sensor provided inside the vehicle according to the weather estimated in the estimation step A monitoring method, characterized by including the above.

5. An acquisition step of acquiring the coordinates of a moving object identified based on information detected by a moving object sensor provided inside the vehicle; An estimation step of estimating the weather based on the coordinates of the moving object; A change step of changing the settings of the moving object sensor provided inside the vehicle according to the weather estimated in the estimation step A monitoring program, characterized by causing a computer to execute the above.

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