WO2021240777A1 - Occupant detection device and occupant detection method - Google Patents

Occupant detection device and occupant detection method Download PDF

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Publication number
WO2021240777A1
WO2021240777A1 PCT/JP2020/021331 JP2020021331W WO2021240777A1 WO 2021240777 A1 WO2021240777 A1 WO 2021240777A1 JP 2020021331 W JP2020021331 W JP 2020021331W WO 2021240777 A1 WO2021240777 A1 WO 2021240777A1
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WIPO (PCT)
Prior art keywords
occupant
living body
vehicle
detection device
seat
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PCT/JP2020/021331
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French (fr)
Japanese (ja)
Inventor
永 菅原
Original Assignee
三菱電機株式会社
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
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Publication date
Application filed by 三菱電機株式会社 filed Critical 三菱電機株式会社
Priority to DE112020007262.2T priority Critical patent/DE112020007262T8/en
Priority to PCT/JP2020/021331 priority patent/WO2021240777A1/en
Priority to JP2022527439A priority patent/JP7399283B2/en
Publication of WO2021240777A1 publication Critical patent/WO2021240777A1/en

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    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60RVEHICLES, VEHICLE FITTINGS, OR VEHICLE PARTS, NOT OTHERWISE PROVIDED FOR
    • B60R21/00Arrangements or fittings on vehicles for protecting or preventing injuries to occupants or pedestrians in case of accidents or other traffic risks
    • B60R21/01Electrical circuits for triggering passive safety arrangements, e.g. airbags, safety belt tighteners, in case of vehicle accidents or impending vehicle accidents

Definitions

  • the present disclosure relates to an occupant detection device that detects an occupant in a vehicle, and particularly to a technique for determining the attributes of the detected occupant.
  • Patent Document 1 it is confirmed by using an electromagnetic wave sensor whether or not a seat on which a child seat of a vehicle is installed has a vital sign, and if the seat has a vital sign, a child (infant) in the vehicle.
  • An occupant detection device that determines that there is a occupant has been proposed.
  • Patent Document 1 The technique of Patent Document 1 is based on the premise that the occupant is correctly seated in the seat, and it is difficult to correctly detect, for example, the occupant with the backrest tilted down.
  • the present disclosure has been made to solve the above problems, and an object of the present invention is to provide a occupant detection device capable of accurately determining the seat where the occupant of the vehicle is and the attributes of the occupant.
  • the occupant detection device has a biological information acquisition unit that acquires biological information in the vehicle detected by an electromagnetic wave sensor, and a biological information existing in the vehicle based on the biological information, and the position of the detected biological body is searched for.
  • a biological detection unit that specifies the size and the occupant determination unit that determines the attributes of the seat and occupant of the vehicle based on the positional relationship between the position of the living body and the position of each seat of the vehicle and the size of the living body. To prepare for.
  • the occupant detection device determines the seats with occupants of the vehicle and the attributes of the occupants based on the positional relationship between the position of the living body specified from the biological information and the position of each seat of the vehicle and the size of the living body. Therefore, the attributes of the occupants in the vehicle can be accurately determined.
  • FIG. 1 is a block diagram showing a configuration of the occupant detection device 10 according to the first embodiment.
  • the occupant detection device 10 is mounted on the vehicle.
  • the occupant detection device 10 does not have to be permanently installed in the vehicle, and may be realized on a portable device that can be brought into the vehicle, such as a mobile phone, a smartphone, or a PND (Portable Navigation Device).
  • a part or all of the functions of the occupant detection device 10 may be realized on a server installed outside the vehicle and capable of communicating with the occupant detection device 10.
  • the occupant detection device 10 is connected to an electromagnetic wave sensor 21 included in a vehicle equipped with the occupant detection device 10.
  • the electromagnetic wave sensor 21 is a sensor that detects a living body existing in the vehicle, and is composed of, for example, a millimeter wave radar.
  • the electromagnetic wave sensor 21 detects a vital sign, which is a sign indicating the existence of a living body, and outputs information on the position of a detection point of the vital sign as biological information.
  • the distance from the electromagnetic wave sensor 21 to the detection point is calculated based on the frequency spectrum of the reflected wave of the radar, and the electromagnetic wave sensor is based on the phase difference of the reflected wave of the radar received by a plurality of antennas. It can be obtained by calculating the direction of the detection point from 21.
  • the millimeter-wave radar can detect a living body through resin or cloth
  • the electromagnetic wave sensor 21 is difficult to see, such as a child riding on a rear-facing child seat, a sideways child seat, a child seat with a sunshade, or a person wearing a blanket. Can detect various people.
  • the electromagnetic wave sensor 21 is installed on the ceiling of the vehicle, and all the seats of the vehicle are included in the detection range of the electromagnetic wave sensor 21.
  • the occupant detection device 10 includes a biological information acquisition unit 11, a biological detection unit 12, and an occupant determination unit 13.
  • the biological information acquisition unit 11 acquires the biological information output by the electromagnetic wave sensor 21.
  • the biological detection unit 12 searches for a living body existing in the vehicle based on the biological information acquired by the biological information acquisition unit 11, and specifies the position and size of the detected living body. More specifically, the biological detection unit 12 specifies the position and size of the biological body based on the distribution of the detection points of vital signs included in the biological information.
  • the size of the living body specified by the living body detection unit 12 may be classified into at least an adult size and a child size, and is defined by, for example, the NHTSA (National Highway Traffic Safety Administration) standard. Standard adult males (AM50), petite adult females (AF05), large adult males (AM95), 10-year-old, 6-year-old and 3-year-old children (10YO, 6YO, 3YO) according to the size of the human body dummy. ) And so on.
  • the size of the living body specified by the biological information acquisition unit 11 is classified into two, an adult size and a child size.
  • the size of the living body is equal to or larger than a predetermined threshold value, it is determined to be an adult size, and if it is less than the threshold value, it is determined to be a child size.
  • a predetermined threshold value if it is equal to or larger than a predetermined threshold value, it is determined to be an adult size, and if it is less than the threshold value, it is determined to be a child size.
  • child a person of an age (for example, 12 years or younger) who may cause an accident if left in a vehicle is defined as a child.
  • FIG. 3 shows the distribution of vital sign detection points when the vehicle is viewed in a plane
  • FIG. 4 shows the distribution of vital sign detection points when the vehicle is viewed from the side. If the detection points of vital signs are distributed as shown in FIGS. 3 and 4, the biological detection unit 12 determines that an adult-sized living body exists at a position on the left side of the center in the front-rear direction of the vehicle.
  • the occupant determination unit 13 identifies the seat where the occupant of the vehicle is located from the positional relationship between the position of the living body specified by the living body detection unit 12 and the position of each seat of the vehicle, and determines the size of the living body specified by the living body detection unit 12. Based on this, the attributes of the occupant are determined. For example, in the case of FIGS. 3 and 4 above, the biological detection unit 12 determines that the occupant is in the seat on the left side of the second row of the vehicle, and the attribute of the occupant is an adult. In the present embodiment, the attributes of the occupants determined by the occupant determination unit 13 are classified into two categories, an adult and a child, but may be further subdivided as in the above-mentioned human body dummy, for example.
  • the number of seats specified by the occupant judgment unit 13 for one occupant is not limited to one, and may be multiple.
  • the detection points of vital signs when the vehicle is viewed in a plan view are distributed as shown in FIG. 5, the position of the living body specified by the living body detection unit 12 straddles the positions of two adjacent seats. Then, the occupant determination unit 13 determines that there is one occupant so as to straddle the two seats. Further, when the occupant tilts the backrest of the seat, the detection points of vital signs may be distributed as shown in FIG. In this case, the position of the living body specified by the living body detection unit 12 straddles the positions of the two seats arranged in front and behind, and the occupant determination unit 13 straddles the two seats. Judge that there is a occupant.
  • the occupant determination unit 13 since the occupant determination unit 13 identifies the seat where the occupant is located from the positional relationship between the living body and each seat specified by the biological detection unit 12, the occupant determination unit 13 correctly detects the occupant existing so as to straddle the plurality of seats. can do. This prevents erroneous detection, for example, in which an occupant seated so as to straddle two seats is detected as two children, and improves the determination accuracy of the occupant's attributes.
  • FIG. 7 is a flowchart showing the operation of the occupant detection device 10 according to the first embodiment. Hereinafter, the operation of the occupant detection device 10 will be described with reference to FIG. 7.
  • the biological information acquisition unit 11 acquires the biological information output by the electromagnetic wave sensor 21 (step S101). Then, the biological detection unit 12 searches for a living body (vital sign) existing in the vehicle based on the biological information acquired by the biological information acquisition unit 11 (step S102), and specifies the position and size of the detected living body. (Step S103).
  • the occupant determination unit 13 executes the following processes of steps S104 to S108 for each detected living body based on the position and size of the living body detected by the living body detection unit 12.
  • the occupant determination unit 13 selects a living body to be processed (hereinafter referred to as "target living body") (step S104), and determines the target living body based on the positional relationship between the position of the target living body and the position of each seat. Identify the seat with the corresponding occupant (step S105).
  • target living body a living body to be processed
  • the occupant determination unit 13 confirms the size of the target living body (step S106). If the size of the target organism is an adult size (YES in step S106), the occupant determination unit 13 determines that the occupant corresponding to the target organism is an adult (step S107). If the size of the target living body is the size of a child (NO in step S106), the occupant determination unit 13 determines that the occupant corresponding to the target living body is a child (step S108).
  • the occupant determination unit 13 When the process of steps S104 to S108 is executed for all living organisms, the occupant determination unit 13 outputs the determination result of the position (seat) and attribute (adult or child) of each occupant, and ends the process.
  • the occupant detection device 10 sets the attributes of the seat and the occupant of the vehicle in the positional relationship between the position of the living body specified from the biological information and the position of each seat of the vehicle. Judgment is based on the size of the living body. Therefore, for example, the positions and attributes of occupants existing so as to straddle a plurality of seats can be accurately determined.
  • the attributes of the occupants detected by the occupant detection device 10 may include not only humans but also animals. That is, animals may be included in the classification of the size of the living body specified by the living body detection unit 12. Furthermore, the classification of animals may be subdivided into large, medium, small and the like.
  • FIG. 8 and 9 are diagrams showing an example of the hardware configuration of the occupant detection device 10, respectively.
  • Each function of the component of the occupant detection device 10 shown in FIG. 1 is realized by, for example, the processing circuit 50 shown in FIG. That is, the occupant detection device 10 acquires the biological information in the vehicle detected by the electromagnetic wave sensor, searches for the living body existing in the vehicle based on the biological information, identifies the position and size of the detected living body, and identifies the position and size of the detected living body.
  • a processing circuit 50 for determining the attributes of the seat and the occupant of the vehicle based on the positional relationship between the position of the living body and the position of each seat of the vehicle and the size of the living body is provided.
  • the processing circuit 50 may be dedicated hardware, or may be a processor (central processing unit (CPU: Central Processing Unit), processing unit, arithmetic unit, microprocessor, microcontroller, etc.) that executes a program stored in the memory. It may be configured by using a DSP (also called a Digital Signal Processor)).
  • CPU Central Processing Unit
  • DSP Digital Signal Processor
  • the processing circuit 50 may be, for example, a single circuit, a composite circuit, a programmed processor, a parallel programmed processor, an ASIC (Application Specific Integrated Circuit), or an FPGA (Field-Programmable). GateArray), or a combination of these, etc.
  • the functions of the components of the occupant detection device 10 may be realized by individual processing circuits, or these functions may be collectively realized by one processing circuit.
  • FIG. 9 shows an example of the hardware configuration of the occupant detection device 10 when the processing circuit 50 is configured by using the processor 51 that executes the program.
  • the functions of the components of the occupant detection device 10 are realized by software (software, firmware, or a combination of software and firmware).
  • the software or the like is described as a program and stored in the memory 52.
  • the processor 51 realizes the functions of each part by reading and executing the program stored in the memory 52. That is, the occupant detection device 10 performs a process of acquiring biometric information in the vehicle detected by the electromagnetic wave sensor when executed by the processor 51, and searches for and detects a living body existing in the vehicle based on the biometric information.
  • the memory 52 is a non-volatile or non-volatile memory such as a RAM (RandomAccessMemory), a ROM (ReadOnlyMemory), a flash memory, an EPROM (ErasableProgrammableReadOnlyMemory), and an EEPROM (ElectricallyErasableProgrammableReadOnlyMemory). Volatile semiconductor memory, HDD (Hard Disk Drive), magnetic disk, flexible disk, optical disk, compact disk, mini disk, DVD (Digital Versatile Disc) and its drive device, etc., or any storage medium used in the future. You may.
  • the present invention is not limited to this, and a configuration may be configured in which a part of the components of the occupant detection device 10 is realized by dedicated hardware and another part of the components is realized by software or the like.
  • the function is realized by the processing circuit 50 as dedicated hardware, and for some other components, the processing circuit 50 as the processor 51 is stored in the memory 52. It is possible to realize the function by reading and executing it.
  • the occupant detection device 10 can realize each of the above-mentioned functions by hardware, software, or a combination thereof.
  • the occupant determination unit 13 determines whether or not the living body detected by the living body detection unit 12 has reached the floor of the vehicle, and if not, the living body. Is judged to be a child's occupant.
  • the configuration of the occupant detection device 10 according to the second embodiment is the same as that in FIG.
  • FIG. 13 is a flowchart showing the operation of the occupant detection device 10 according to the second embodiment.
  • the flow of FIG. 13 is obtained by adding step S111 after step S105 to the flow of FIG. 7. Since the other steps are the same as those in FIG. 7, the description of those steps is omitted here.
  • step S111 the occupant determination unit 13 confirms whether or not the target living body has reached the floor. At this time, if the target living body has reached the floor (YES in step S111), the process proceeds to step S106, and the occupant determination unit 13 determines the attributes of the occupant (adult or child) corresponding to the target living body, as in the first embodiment. Is determined based on the size of the target organism. However, if the target living body has not reached the floor (NO in step S111), the process proceeds to step S108, and the occupant determination unit 13 determines that the occupant corresponding to the target living body is a child.
  • the occupant detection device 10 can improve the accuracy of determining the attributes of the occupants by determining the living body that has not reached the floor as a child.
  • FIG. 14 is a block diagram showing the configuration of the occupant detection device 10 according to the third embodiment.
  • the configuration of the occupant detection device 10 in FIG. 14 is the configuration in which the child seat detection unit 14 is added to the configuration in FIG. Since the other elements are the same as those in FIG. 1, the description of these elements will be omitted here.
  • the child seat detection unit 14 detects the seat in which the child seat is installed.
  • the method of detecting the seat in which the child seat is installed may be any method, for example, a method of detecting the image of the child seat from the image in the vehicle taken by the camera, or the output signal of the load sensor provided in each seat. It may be a method of detecting based on the pull-out amount or tension of the seat belt of each seat.
  • the occupant determination unit 13 determines the attribute of the occupant in consideration of the position of the seat where the child seat is installed. Specifically, the occupant determination unit 13 determines that the living body detected in the seat in which the child seat is installed is a child occupant.
  • FIG. 15 is a flowchart showing the operation of the occupant detection device 10 according to the third embodiment.
  • the flow of FIG. 15 is obtained by adding steps S121 and S122 described below to the flow of FIG. 7. Since the other steps are the same as those in FIG. 7, the description of those steps is omitted here.
  • step S121 the child seat detection unit 14 searches for a seat in the vehicle in which the child seat is installed.
  • step S121 is executed after steps S101 to S103, but the order may be reversed.
  • Step S122 is executed after step S105.
  • the occupant determination unit 13 confirms whether or not the child seat is installed in the seat where the occupant corresponding to the target living body is present. If a child seat is not installed in the seat (NO in step S122), the process proceeds to step S106, and the occupant determination unit 13 determines the attribute of the occupant (adult or child) corresponding to the target living body, as in the first embodiment. Is determined based on the size of the target living body. However, if a child seat is installed in the seat (YES in step S111), the process proceeds to step S108, and the occupant determination unit 13 determines that the occupant corresponding to the target living body is a child.
  • the occupant detection device 10 accurately determines the attribute (child) of the occupant in the seat where the child seat is installed in order to determine the attribute of the occupant in consideration of the position of the seat where the child seat is installed. can do.
  • FIG. 16 is a block diagram showing the configuration of the occupant detection device 10 according to the fourth embodiment.
  • the configuration of the occupant detection device 10 of FIG. 16 is a configuration in which an in-vehicle image acquisition unit 15 and an occupant image detection unit 16 are added to the configuration of FIG. Further, an in-vehicle camera 22 is connected to the occupant detection device 10. Since the other elements are the same as those in FIG. 1, the description of these elements will be omitted here.
  • the in-vehicle camera 22 is a camera that photographs each seat in the vehicle.
  • the in-vehicle camera 22 may be composed of one camera or may be composed of a plurality of cameras provided for each seat.
  • the in-vehicle camera 22 is installed at a position where all seats can be simultaneously photographed, for example, in the vicinity of an overhead console (OHC) or a rear view mirror.
  • OOC overhead console
  • the image taken by the in-vehicle camera 22 inside the vehicle is referred to as an “in-vehicle image”.
  • the vehicle interior image acquisition unit 15 of the occupant detection device 10 acquires the vehicle interior image taken by the vehicle interior camera 22.
  • the occupant image detection unit 16 analyzes the in-vehicle image acquired by the in-vehicle image acquisition unit 15 based on the position of the living body detected by the in-vehicle image detection unit 12, and from the in-vehicle image to the living body detected by the in-vehicle detection unit 12. Search for images of the corresponding occupants.
  • the occupant determination unit 13 extracts the facial or skeletal characteristics of the occupant from the image of the occupant, and the extracted facial or skeletal characteristics. By estimating the age of the occupant based on the above, the attribute (adult or child) of the occupant is determined.
  • the occupant determination unit 13 sets the attribute of the occupant corresponding to the living body to the size of the living body as in the first embodiment. Judgment based on.
  • FIG. 17 is a flowchart showing the operation of the occupant detection device 10 according to the fourth embodiment.
  • the flow of FIG. 17 is obtained by adding steps S131 to S134 described below to the flow of FIG. 7. Since the other steps are the same as those in FIG. 7, the description of those steps is omitted here.
  • step S131 the vehicle interior image acquisition unit 15 acquires the vehicle interior image taken by the vehicle interior camera 22.
  • step S131 is executed after steps S101 to S103, but the order may be reversed.
  • Step S132 is executed after step S105.
  • the occupant image detection unit 16 searches for the image of the occupant corresponding to the target living body from the in-vehicle image by analyzing the in-vehicle image acquired by the in-vehicle image acquisition unit 15 based on the position of the target living body. ..
  • Step S133 is executed after step S132.
  • the occupant determination unit 13 confirms whether or not the image of the occupant corresponding to the target living body is detected in step S132. If the image of the occupant corresponding to the target living body is detected (YES in step S133), the process proceeds to step S134.
  • the occupant determination unit 13 analyzes the image of the occupant corresponding to the target living body and estimates the age from the characteristics of the occupant's face or skeleton to determine the attribute (adult or child) of the occupant. to decide.
  • step S133 If the image of the occupant corresponding to the target living body is not detected (NO in step S133), the process proceeds to step S106, and the occupant determination unit 13 determines the attribute of the occupant corresponding to the target living body (adult) as in the first embodiment. Whether it is a child or a child) is determined based on the size of the target living body.
  • the occupant detection device 10 determines the occupant's attributes from the characteristics of the occupant's face or skeleton, it is possible to improve the determination accuracy of the occupant's attributes.
  • FIG. 18 is a block diagram showing the configuration of the occupant detection device 10 according to the fifth embodiment.
  • the configuration of the occupant detection device 10 of FIG. 18 is a configuration in which a facial expression change detection unit 17 is added to the configuration of FIG. Since the other elements are the same as those in FIG. 16, the description of these elements is omitted here.
  • the facial expression change detection unit 17 detects the change in the facial expression of the occupant by monitoring the change in the image of the occupant's face detected by the occupant image detection unit 16. More specifically, the facial expression change detection unit 17 can see the eyes (outer corners of both eyes, inner corners of both eyes, upper eyelids, lower eyelids, etc.), nose (base of nose, back of nose, ala of nose, tip of nose, etc.) and mouth from the image of the face of the occupant. Facial parts such as (upper lip, lower lip, etc.) are extracted as feature points, and the presence or absence of changes in facial expressions is determined from the positional relationship of those feature points.
  • the method for detecting the change in facial expression is not limited to this, and any method may be used.
  • the occupant determination unit 13 determines the attributes of the occupant in consideration of the detection result of the facial expression change of the occupant by the facial expression change detection unit 17. Specifically, the occupant determination unit 13 determines that the face of the occupant detected by the occupant image detection unit 16 does not change the facial expression for a certain period of time or more, and determines that the face does not belong to the occupant, and determines the attributes of the occupant. , Judgment is based on the size of the living body, not the image.
  • FIG. 19 is a flowchart showing the operation of the occupant detection device 10 according to the fifth embodiment.
  • the flow of FIG. 19 is obtained by adding step S135 described below to the flow of FIG. Since the other steps are the same as those in FIG. 17, the description of these steps will be omitted here.
  • Step S135 is executed when it is determined in step S133 that the image of the occupant corresponding to the target living body is detected (when it is determined to be YES in step S133).
  • step S135 whether or not the occupant determination unit 13 has not changed the facial expression of the occupant's face corresponding to the target living body for a certain period of time or more based on the detection result of the facial expression change of the occupant by the facial expression change detection unit 17. To judge. If the state in which the facial expression does not change continues for a certain period of time or more (YES in step S135), the process proceeds to step S106, and the occupant determination unit 13 determines that the occupant is an adult based on the size of the target living body, as in the first embodiment.
  • step S135) If the state in which there is no change in facial expression continues for less than a certain period of time (NO in step S135), the process proceeds to step S134, and the occupant determination unit 13 is the same as in the fourth embodiment of the occupant corresponding to the target living body.
  • the attribute (adult or child) of the occupant is determined.
  • the attribute of the occupant is based on the size of the living body instead of the image. to decide. This prevents children from being mistakenly identified as adults when they are wearing a mask or wearing a shirt with a person's face printed on them.
  • the effect of being able to detect the camouflage that makes the child look like an adult by putting on a mask it is possible to expect the effect of being able to detect the camouflage that makes the child look like an adult by putting on a mask.
  • the embodiments 2 to 5 described above can be combined with each other.
  • the configuration of the occupant detection device 10 is as shown in FIG.
  • the configuration of the occupant detection device 10 of FIG. 20 is the configuration of FIG. 1 with the addition of the child seat detection unit 14, the vehicle interior image acquisition unit 15, the occupant image detection unit 16, and the facial expression change detection unit 17. Further, an in-vehicle camera 22 is connected to the occupant detection device 10.
  • FIG. 21 shows a flowchart showing the operation of the occupant detection device 10 shown in FIG. 20.
  • the flow of FIG. 21 is obtained by adding the above-mentioned steps S111, S121, S122, and S131 to S135 to the flow of FIG. 7.
  • step S122 described in the third embodiment is added after step S103 of the flow of FIG. 19, and step S111 described in the second embodiment is added between steps S105 and S132.
  • step S122 described in the third embodiment are added (step S111 is executed when NO is determined in step S122). According to this modification, the effects of the second to fifth embodiments can be obtained.
  • the occupant detection devices 10 of the first to fifth embodiments include, for example, an occupant monitoring system that monitors the physical condition of the occupants in each seat, a child abandonment warning system that prevents children from being left behind in the vehicle, and the like. It is widely applicable to systems that utilize the attributes of.
  • an occupant monitoring system that monitors the physical condition of the occupants in each seat
  • a child abandonment warning system that prevents children from being left behind in the vehicle, and the like. It is widely applicable to systems that utilize the attributes of.
  • the sixth embodiment an example in which the occupant detection device 10 is applied to a child abandonment warning system is shown.
  • FIG. 22 is a block diagram showing the configuration of the child abandonment warning system 30 according to the sixth embodiment.
  • the child abandonment warning system 30 includes an occupant detection device 10 according to any one of the first to fifth embodiments and an alarm output unit 31 (the child abandonment warning system 30 of FIG. 22 is the first embodiment.
  • the occupant detection device 10 is provided).
  • the alarm output unit 31 monitors whether or not the occupant in the vehicle is only a child based on the determination result of the attribute of the occupant by the occupant detection device 10, and if the state of only the child continues for a certain period of time or more, the child is left behind. It is judged that there is a risk of being damaged, and an alarm is issued outside the vehicle.
  • FIG. 23 is a flowchart showing the operation of the child abandonment warning system 30.
  • the operation of the child abandonment warning system 30 will be described with reference to FIG. 23.
  • the occupant detection device 10 When the child abandonment warning system 30 is activated, the occupant detection device 10 first executes an occupant detection process for determining the presence or absence of occupants in each seat and the attributes of the occupants (adult or child) (step S201). In the occupant detection process, the occupant detection device 10 executes the process shown in FIGS. 7, 15, 17, 19, or 21.
  • the alarm output unit 31 confirms whether or not there is an occupant in the vehicle based on the result of the occupant detection process (step S202). If there are no occupants in the vehicle (NO in step S202), the alarm output unit 31 determines that all the occupants have disembarked from the vehicle and ends the process.
  • step S202 When there is an occupant in the vehicle (YES in step S202), the alarm output unit 31 confirms whether the occupant in the vehicle is only a child (step S203). If the occupants in the vehicle include an adult (NO in step S203), the process returns to step S201.
  • step S203 the alarm output unit 31 confirms whether the occupant in the vehicle has been a child only for a certain period of time or more (step S204). If the occupant in the vehicle is only a child for a certain period of time or longer (NO in step S204), the process returns to step S201.
  • step S204 If the occupant in the vehicle remains only a child for a certain period of time (YES in step S204), the alarm output unit 31 determines that the child may be left behind in the vehicle and goes out of the vehicle. An alarm is issued (step S205).
  • the child abandonment warning system 30 may detect the getting on and off of the occupant based on the door open / close signal, the output signal of the load sensor of the seat, and the like, and the process of FIG. 23 may be started at the timing when the occupant gets on and off. ..
  • the process of FIG. 23 is started at the timing when the occupants get on and off, it can be detected that after all the occupants get off the vehicle once, only the child is put on the vehicle again and left behind.
  • the child abandonment warning system 30 detects that the child may be left behind and issues an alarm, so that the child can be prevented from being left behind. Further, since the occupant detection process (step S201) for determining the presence / absence of an occupant in the vehicle and the attributes of the occupant is performed by the occupant detection device 10 according to any one of the first to fifth embodiments, the child is left behind. The fear can be detected accurately.

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Abstract

In an occupant detection device (10), a living body information acquisition unit (11) acquires living body information which is information on the inside of a vehicle and is detected by an electromagnetic wave sensor (21). A living body detection unit (12) searches for a living body existing in the vehicle on the basis of the living body information, and identifies the position and the size of a detected living body. An occupant determination unit (13) determines, on the basis of a positional relationship between the position of the detected living body and the position of each seat of the vehicle and the size of the living body, a seat on which an occupant of the vehicle exists and an attribute of the occupant.

Description

乗員検出装置および乗員検出方法Crew detection device and occupant detection method
 本開示は、車両内の乗員を検出する乗員検出装置に関し、特に、検出された乗員の属性を判断する技術に関する。 The present disclosure relates to an occupant detection device that detects an occupant in a vehicle, and particularly to a technique for determining the attributes of the detected occupant.
 例えば下記の特許文献1には、車両のチャイルドシートが設置された座席にバイタルサインがあるか否かを電磁波センサを用いて確認し、その座席にバイタルサインが有る場合に車両内に子供(乳幼児)がいると判断する乗員検出装置が提案されている。 For example, in Patent Document 1 below, it is confirmed by using an electromagnetic wave sensor whether or not a seat on which a child seat of a vehicle is installed has a vital sign, and if the seat has a vital sign, a child (infant) in the vehicle. An occupant detection device that determines that there is a occupant has been proposed.
特開2019-123354号公報Japanese Unexamined Patent Publication No. 2019-123354
 特許文献1の技術は、乗員が座席に正しく着座していることが前提であり、例えば背もたれを倒している乗員などを正しく検出することは困難である。 The technique of Patent Document 1 is based on the premise that the occupant is correctly seated in the seat, and it is difficult to correctly detect, for example, the occupant with the backrest tilted down.
 本開示は以上のような課題を解決するためになされたものであり、車両の乗員がいる座席および当該乗員の属性を精度よく判断可能な乗員検出装置を提供することを目的とする。 The present disclosure has been made to solve the above problems, and an object of the present invention is to provide a occupant detection device capable of accurately determining the seat where the occupant of the vehicle is and the attributes of the occupant.
 本開示に係る乗員検出装置は、電磁波センサにより検出された車両内の生体情報を取得する生体情報取得部と、生体情報に基づいて車両内に存在する生体を探索し、検出された生体の位置およびサイズを特定する生体検出部と、生体の位置と車両の各座席の位置との位置関係および生体のサイズに基づいて、車両の乗員がいる座席および乗員の属性を判断する乗員判断部と、を備える。 The occupant detection device according to the present disclosure has a biological information acquisition unit that acquires biological information in the vehicle detected by an electromagnetic wave sensor, and a biological information existing in the vehicle based on the biological information, and the position of the detected biological body is searched for. A biological detection unit that specifies the size and the occupant determination unit that determines the attributes of the seat and occupant of the vehicle based on the positional relationship between the position of the living body and the position of each seat of the vehicle and the size of the living body. To prepare for.
 本開示に係る乗員検出装置は、車両の乗員がいる座席および乗員の属性を、生体情報から特定された生体の位置と車両の各座席の位置との位置関係および生体のサイズに基づいて判断するため、車両内にいる乗員の属性を精度よく判断することができる。 The occupant detection device according to the present disclosure determines the seats with occupants of the vehicle and the attributes of the occupants based on the positional relationship between the position of the living body specified from the biological information and the position of each seat of the vehicle and the size of the living body. Therefore, the attributes of the occupants in the vehicle can be accurately determined.
 本開示の目的、特徴、態様、および利点は、以下の詳細な説明と添付図面とによって、より明白となる。 The purposes, features, aspects, and advantages of the present disclosure will be made clearer by the following detailed description and accompanying drawings.
実施の形態1に係る乗員検出装置の構成を示す図である。It is a figure which shows the structure of the occupant detection device which concerns on Embodiment 1. 車両の座席配置の例を示す図である。It is a figure which shows the example of the seat arrangement of a vehicle. バイタルサインの検出点の分布の例を示す図である。It is a figure which shows the example of the distribution of the detection point of the vital sign. バイタルサインの検出点の分布の例を示す図である。It is a figure which shows the example of the distribution of the detection point of the vital sign. バイタルサインの検出点の分布の例を示す図である。It is a figure which shows the example of the distribution of the detection point of the vital sign. バイタルサインの検出点の分布の例を示す図である。It is a figure which shows the example of the distribution of the detection point of the vital sign. 実施の形態1に係る乗員検出装置の動作を示すフローチャートである。It is a flowchart which shows the operation of the occupant detection device which concerns on Embodiment 1. 乗員検出装置のハードウェア構成例を示す図である。It is a figure which shows the hardware configuration example of the occupant detection device. 乗員検出装置のハードウェア構成例を示す図である。It is a figure which shows the hardware configuration example of the occupant detection device. バイタルサインの検出点の分布の例を示す図である。It is a figure which shows the example of the distribution of the detection point of the vital sign. バイタルサインの検出点の分布の例を示す図である。It is a figure which shows the example of the distribution of the detection point of the vital sign. バイタルサインの検出点の分布の例を示す図である。It is a figure which shows the example of the distribution of the detection point of the vital sign. 実施の形態2に係る乗員検出装置の動作を示すフローチャートである。It is a flowchart which shows the operation of the occupant detection device which concerns on Embodiment 2. 実施の形態3に係る乗員検出装置の構成を示す図である。It is a figure which shows the structure of the occupant detection device which concerns on Embodiment 3. 実施の形態3に係る乗員検出装置の動作を示すフローチャートである。It is a flowchart which shows the operation of the occupant detection device which concerns on Embodiment 3. 実施の形態4に係る乗員検出装置の構成を示す図である。It is a figure which shows the structure of the occupant detection device which concerns on Embodiment 4. 実施の形態4に係る乗員検出装置の動作を示すフローチャートである。It is a flowchart which shows the operation of the occupant detection device which concerns on Embodiment 4. 実施の形態5に係る乗員検出装置の構成を示す図である。It is a figure which shows the structure of the occupant detection device which concerns on Embodiment 5. 実施の形態5に係る乗員検出装置の動作を示すフローチャートである。It is a flowchart which shows the operation of the occupant detection device which concerns on Embodiment 5. 実施の形態2~5の組み合わせに係る乗員検出装置の構成を示す図である。It is a figure which shows the structure of the occupant detection device which concerns on the combination of Embodiments 2-5. 実施の形態2~5の組み合わせに係る乗員検出装置の動作を示すフローチャートである。It is a flowchart which shows the operation of the occupant detection device which concerns on the combination of Embodiments 2-5. 実施の形態6に係る子供置き去り警報システムの構成を示す図である。It is a figure which shows the structure of the child leaving warning system which concerns on Embodiment 6. 実施の形態6に係る子供置き去り警報システムの動作を示すフローチャートである。It is a flowchart which shows the operation of the child leaving warning system which concerns on Embodiment 6.
 <実施の形態1>
 図1は、実施の形態1に係る乗員検出装置10の構成を示すブロック図である。本実施の形態では、乗員検出装置10は、車両に搭載されているものとする。ただし、乗員検出装置10は、車両に常設される必要はなく、例えば携帯電話やスマートフォン、PND(Portable Navigation Device)など、車両に持ち込み可能な携帯型の装置上で実現されていてもよい。また、乗員検出装置10の機能の一部または全部が、車両の外部に設置され乗員検出装置10と通信可能なサーバー上で実現されていてもよい。
<Embodiment 1>
FIG. 1 is a block diagram showing a configuration of the occupant detection device 10 according to the first embodiment. In the present embodiment, it is assumed that the occupant detection device 10 is mounted on the vehicle. However, the occupant detection device 10 does not have to be permanently installed in the vehicle, and may be realized on a portable device that can be brought into the vehicle, such as a mobile phone, a smartphone, or a PND (Portable Navigation Device). Further, a part or all of the functions of the occupant detection device 10 may be realized on a server installed outside the vehicle and capable of communicating with the occupant detection device 10.
 図1に示すように、乗員検出装置10は、当該乗員検出装置10を搭載する車両が備える電磁波センサ21に接続されている。電磁波センサ21は、車両内に存在する生体を検出するセンサであり、例えばミリ波レーダーで構成される。電磁波センサ21は、生体が存在する旨を示すサインであるバイタルサインを検出し、バイタルサインの検出点の位置の情報を、生体情報として出力する。バイタルサインの検出点の位置は、例えば、レーダーの反射波の周波数スペクトルに基づき電磁波センサ21から検出点までの距離を算出し、複数のアンテナで受信したレーダーの反射波の位相差に基づき電磁波センサ21からの検出点の方向を算出することで求めることができる。 As shown in FIG. 1, the occupant detection device 10 is connected to an electromagnetic wave sensor 21 included in a vehicle equipped with the occupant detection device 10. The electromagnetic wave sensor 21 is a sensor that detects a living body existing in the vehicle, and is composed of, for example, a millimeter wave radar. The electromagnetic wave sensor 21 detects a vital sign, which is a sign indicating the existence of a living body, and outputs information on the position of a detection point of the vital sign as biological information. For the position of the detection point of the vital sign, for example, the distance from the electromagnetic wave sensor 21 to the detection point is calculated based on the frequency spectrum of the reflected wave of the radar, and the electromagnetic wave sensor is based on the phase difference of the reflected wave of the radar received by a plurality of antennas. It can be obtained by calculating the direction of the detection point from 21.
 また、ミリ波レーダーは樹脂や布を透過して生体を検出できるため、電磁波センサ21は、後ろ向きチャイルドシート、横向きチャイルドシート、サンシェード付きのチャイルドシートなどに乗った子供や、毛布を被った人物など、視認困難な人物を検出することができる。本実施の形態では、電磁波センサ21は車両の天井に設置されており、車両の全ての座席が電磁波センサ21の検出範囲に含まれるものとする。 In addition, since the millimeter-wave radar can detect a living body through resin or cloth, the electromagnetic wave sensor 21 is difficult to see, such as a child riding on a rear-facing child seat, a sideways child seat, a child seat with a sunshade, or a person wearing a blanket. Can detect various people. In the present embodiment, the electromagnetic wave sensor 21 is installed on the ceiling of the vehicle, and all the seats of the vehicle are included in the detection range of the electromagnetic wave sensor 21.
 図1に示すように、乗員検出装置10は、生体情報取得部11、生体検出部12および乗員判断部13を備えている。 As shown in FIG. 1, the occupant detection device 10 includes a biological information acquisition unit 11, a biological detection unit 12, and an occupant determination unit 13.
 生体情報取得部11は、電磁波センサ21が出力する生体情報を取得する。生体検出部12は、生体情報取得部11が取得した生体情報に基づいて車両内に存在する生体を探索し、検出された生体の位置およびサイズを特定する。より具体的には、生体検出部12は、生体情報に含まれるバイタルサインの検出点の分布に基づいて、生体の位置およびサイズを特定する。 The biological information acquisition unit 11 acquires the biological information output by the electromagnetic wave sensor 21. The biological detection unit 12 searches for a living body existing in the vehicle based on the biological information acquired by the biological information acquisition unit 11, and specifies the position and size of the detected living body. More specifically, the biological detection unit 12 specifies the position and size of the biological body based on the distribution of the detection points of vital signs included in the biological information.
 生体検出部12が特定する生体のサイズは、少なくとも大人サイズと子供サイズとに分類されていればよいが、例えばNHTSA(National Highway Traffic Safety Administration:米国高速道路交通安全協会)の規格で定められている人体ダミーのサイズに準じて、標準体型の成人男性(AM50)、小柄な成人女性(AF05)、大柄な成人男性(AM95)、10歳、6歳および3歳の子供(10YO、6YO、3YO)などと細分化してもよい。本実施の形態では、生体情報取得部11が特定する生体のサイズは、大人サイズと子供サイズとの2つに分類されるものとする。つまり、生体のサイズが予め定められた閾値以上であれば大人サイズと判断され、閾値未満であれば子供サイズと判断される。なお、「子供」の定義は国や法律によって異なるが、車両に置き去りにされると事故を招きかねない年齢(例えば12歳以下)の者が、子供として定義されることが好ましい。 The size of the living body specified by the living body detection unit 12 may be classified into at least an adult size and a child size, and is defined by, for example, the NHTSA (National Highway Traffic Safety Administration) standard. Standard adult males (AM50), petite adult females (AF05), large adult males (AM95), 10-year-old, 6-year-old and 3-year-old children (10YO, 6YO, 3YO) according to the size of the human body dummy. ) And so on. In the present embodiment, the size of the living body specified by the biological information acquisition unit 11 is classified into two, an adult size and a child size. That is, if the size of the living body is equal to or larger than a predetermined threshold value, it is determined to be an adult size, and if it is less than the threshold value, it is determined to be a child size. Although the definition of "child" differs depending on the country and law, it is preferable that a person of an age (for example, 12 years or younger) who may cause an accident if left in a vehicle is defined as a child.
 例えば車両の座席が図2のように配置されている場合において、電磁波センサ21により検出されるバイタルサインの検出点の分布の例を図3および図4に示す。図3は車両を平面視したときのバイタルサインの検出点の分布であり、図4は車両を側面視したときのバイタルサインの検出点の分布である。バイタルサインの検出点が図3および図4のように分布していれば、生体検出部12は、車両の前後方向中央の左寄りの位置に、大人サイズの生体が存在すると判断する。 For example, when the seats of the vehicle are arranged as shown in FIG. 2, an example of the distribution of the detection points of the vital signs detected by the electromagnetic wave sensor 21 is shown in FIGS. 3 and 4. FIG. 3 shows the distribution of vital sign detection points when the vehicle is viewed in a plane, and FIG. 4 shows the distribution of vital sign detection points when the vehicle is viewed from the side. If the detection points of vital signs are distributed as shown in FIGS. 3 and 4, the biological detection unit 12 determines that an adult-sized living body exists at a position on the left side of the center in the front-rear direction of the vehicle.
 乗員判断部13は、生体検出部12が特定した生体の位置と車両の各座席の位置との位置関係から車両の乗員がいる座席を特定するとともに、生体検出部12が特定した生体のサイズに基づいて、当該乗員の属性を判断する。例えば上記の図3および図4の例であれば、生体検出部12は、車両の2列目左側の座席に乗員がおり、当該乗員の属性は大人であると判断する。本実施の形態では、乗員判断部13が判断する乗員の属性は、大人と子供との2つに分類されるものとするが、例えば上記の人体ダミーのようにさらに細分化されてもよい。 The occupant determination unit 13 identifies the seat where the occupant of the vehicle is located from the positional relationship between the position of the living body specified by the living body detection unit 12 and the position of each seat of the vehicle, and determines the size of the living body specified by the living body detection unit 12. Based on this, the attributes of the occupant are determined. For example, in the case of FIGS. 3 and 4 above, the biological detection unit 12 determines that the occupant is in the seat on the left side of the second row of the vehicle, and the attribute of the occupant is an adult. In the present embodiment, the attributes of the occupants determined by the occupant determination unit 13 are classified into two categories, an adult and a child, but may be further subdivided as in the above-mentioned human body dummy, for example.
 ここで、乗員判断部13が1人の乗員に対して特定する座席は1つとは限らず、複数の場合もある。例えば、車両を平面視したときのバイタルサインの検出点が図5のように分布している場合、生体検出部12が特定する生体の位置が、隣り合う2つの座席の位置に跨がることになり、乗員判断部13は、その2つの座席に跨がるように1人の乗員がいると判断する。また、乗員が座席の背もたれを倒すと、バイタルサインの検出点は図6のように分布することもある。この場合、生体検出部12が特定する生体の位置が、前後に並ぶ2つの座席の位置に跨がることになり、乗員判断部13は、その2つの座席に跨がるように1人の乗員がいると判断する。 Here, the number of seats specified by the occupant judgment unit 13 for one occupant is not limited to one, and may be multiple. For example, when the detection points of vital signs when the vehicle is viewed in a plan view are distributed as shown in FIG. 5, the position of the living body specified by the living body detection unit 12 straddles the positions of two adjacent seats. Then, the occupant determination unit 13 determines that there is one occupant so as to straddle the two seats. Further, when the occupant tilts the backrest of the seat, the detection points of vital signs may be distributed as shown in FIG. In this case, the position of the living body specified by the living body detection unit 12 straddles the positions of the two seats arranged in front and behind, and the occupant determination unit 13 straddles the two seats. Judge that there is a occupant.
 このように、乗員判断部13は、生体検出部12が特定した生体と各座席との位置関係から乗員がいる座席を特定するため、複数の座席に跨がるように存在する乗員も正しく検出することができる。これにより、例えば2つの座席に跨がるように着座した乗員が2人の子供として検出されるなどの誤検出が防止され、乗員の属性の判断精度が向上する。 In this way, since the occupant determination unit 13 identifies the seat where the occupant is located from the positional relationship between the living body and each seat specified by the biological detection unit 12, the occupant determination unit 13 correctly detects the occupant existing so as to straddle the plurality of seats. can do. This prevents erroneous detection, for example, in which an occupant seated so as to straddle two seats is detected as two children, and improves the determination accuracy of the occupant's attributes.
 図7は、実施の形態1に係る乗員検出装置10の動作を示すフローチャートである。以下、図7を参照しつつ、乗員検出装置10の動作を説明する。 FIG. 7 is a flowchart showing the operation of the occupant detection device 10 according to the first embodiment. Hereinafter, the operation of the occupant detection device 10 will be described with reference to FIG. 7.
 乗員検出装置10が起動すると、生体情報取得部11は、電磁波センサ21が出力する生体情報を取得する(ステップS101)。そして、生体検出部12が、生体情報取得部11が取得した生体情報に基づいて車両内に存在する生体(バイタルサイン)を探索し(ステップS102)、検出された生体の位置およびサイズを特定する(ステップS103)。 When the occupant detection device 10 is activated, the biological information acquisition unit 11 acquires the biological information output by the electromagnetic wave sensor 21 (step S101). Then, the biological detection unit 12 searches for a living body (vital sign) existing in the vehicle based on the biological information acquired by the biological information acquisition unit 11 (step S102), and specifies the position and size of the detected living body. (Step S103).
 乗員判断部13は、生体検出部12が検出した生体の位置およびサイズに基づいて、以下のステップS104~S108の処理を、検出された個々の生体に対して実行する。 The occupant determination unit 13 executes the following processes of steps S104 to S108 for each detected living body based on the position and size of the living body detected by the living body detection unit 12.
 まず、乗員判断部13は、処理の対象とする生体(以下「対象生体」という)を選択し(ステップS104)、対象生体の位置と各座席の位置との位置関係に基づいて、対象生体に対応する乗員がいる座席を特定する(ステップS105)。 First, the occupant determination unit 13 selects a living body to be processed (hereinafter referred to as "target living body") (step S104), and determines the target living body based on the positional relationship between the position of the target living body and the position of each seat. Identify the seat with the corresponding occupant (step S105).
 さらに、乗員判断部13は、対象生体のサイズを確認する(ステップS106)。対象生体のサイズが大人サイズであれば(ステップS106でYES)、乗員判断部13は対象生体に対応する乗員は大人であると判断する(ステップS107)。また、対象生体のサイズが子供サイズであれば(ステップS106でNO)、乗員判断部13は対象生体に対応する乗員は子供であると判断する(ステップS108)。 Further, the occupant determination unit 13 confirms the size of the target living body (step S106). If the size of the target organism is an adult size (YES in step S106), the occupant determination unit 13 determines that the occupant corresponding to the target organism is an adult (step S107). If the size of the target living body is the size of a child (NO in step S106), the occupant determination unit 13 determines that the occupant corresponding to the target living body is a child (step S108).
 乗員判断部13は、ステップS104~S108の処理を全ての生体に対して実行すると、各乗員の位置(座席)および属性(大人か子供か)の判断結果を出力して、処理を終了する。 When the process of steps S104 to S108 is executed for all living organisms, the occupant determination unit 13 outputs the determination result of the position (seat) and attribute (adult or child) of each occupant, and ends the process.
 以上のように、実施の形態1に係る乗員検出装置10は、車両の乗員がいる座席および乗員の属性を、生体情報から特定された生体の位置と車両の各座席の位置との位置関係および生体のサイズに基づいて判断する。そのため、例えば複数の座席に跨がるように存在する乗員の位置および属性を精度よく判断することができる。 As described above, the occupant detection device 10 according to the first embodiment sets the attributes of the seat and the occupant of the vehicle in the positional relationship between the position of the living body specified from the biological information and the position of each seat of the vehicle. Judgment is based on the size of the living body. Therefore, for example, the positions and attributes of occupants existing so as to straddle a plurality of seats can be accurately determined.
 なお、乗員検出装置10が検出する乗員の属性には、人間だけでなく、動物が含まれてもよい。すなわち、生体検出部12が特定する生体のサイズの分類に動物が含まれてもよい。さらに、動物の分類は大型、中型、小型などに細分化されてもよい。 The attributes of the occupants detected by the occupant detection device 10 may include not only humans but also animals. That is, animals may be included in the classification of the size of the living body specified by the living body detection unit 12. Furthermore, the classification of animals may be subdivided into large, medium, small and the like.
 図8および図9は、それぞれ乗員検出装置10のハードウェア構成の例を示す図である。図1に示した乗員検出装置10の構成要素の各機能は、例えば図8に示す処理回路50により実現される。すなわち、乗員検出装置10は、電磁波センサにより検出された車両内の生体情報を取得し、生体情報に基づいて車両内に存在する生体を探索し、検出された生体の位置およびサイズを特定し、生体の位置と車両の各座席の位置との位置関係および生体のサイズに基づいて、車両の乗員がいる座席および乗員の属性を判断する、ための処理回路50を備える。処理回路50は、専用のハードウェアであってもよいし、メモリに格納されたプログラムを実行するプロセッサ(中央処理装置(CPU:Central Processing Unit)、処理装置、演算装置、マイクロプロセッサ、マイクロコンピュータ、DSP(Digital Signal Processor)とも呼ばれる)を用いて構成されていてもよい。 8 and 9 are diagrams showing an example of the hardware configuration of the occupant detection device 10, respectively. Each function of the component of the occupant detection device 10 shown in FIG. 1 is realized by, for example, the processing circuit 50 shown in FIG. That is, the occupant detection device 10 acquires the biological information in the vehicle detected by the electromagnetic wave sensor, searches for the living body existing in the vehicle based on the biological information, identifies the position and size of the detected living body, and identifies the position and size of the detected living body. A processing circuit 50 for determining the attributes of the seat and the occupant of the vehicle based on the positional relationship between the position of the living body and the position of each seat of the vehicle and the size of the living body is provided. The processing circuit 50 may be dedicated hardware, or may be a processor (central processing unit (CPU: Central Processing Unit), processing unit, arithmetic unit, microprocessor, microcontroller, etc.) that executes a program stored in the memory. It may be configured by using a DSP (also called a Digital Signal Processor)).
 処理回路50が専用のハードウェアである場合、処理回路50は、例えば、単一回路、複合回路、プログラム化したプロセッサ、並列プログラム化したプロセッサ、ASIC(Application Specific Integrated Circuit)、FPGA(Field-Programmable Gate Array)、またはこれらを組み合わせたものなどが該当する。乗員検出装置10の構成要素の各々の機能が個別の処理回路で実現されてもよいし、それらの機能がまとめて一つの処理回路で実現されてもよい。 When the processing circuit 50 is dedicated hardware, the processing circuit 50 may be, for example, a single circuit, a composite circuit, a programmed processor, a parallel programmed processor, an ASIC (Application Specific Integrated Circuit), or an FPGA (Field-Programmable). GateArray), or a combination of these, etc. The functions of the components of the occupant detection device 10 may be realized by individual processing circuits, or these functions may be collectively realized by one processing circuit.
 図9は、処理回路50がプログラムを実行するプロセッサ51を用いて構成されている場合における乗員検出装置10のハードウェア構成の例を示している。この場合、乗員検出装置10の構成要素の機能は、ソフトウェア等(ソフトウェア、ファームウェア、またはソフトウェアとファームウェアとの組み合わせ)により実現される。ソフトウェア等はプログラムとして記述され、メモリ52に格納される。プロセッサ51は、メモリ52に記憶されたプログラムを読み出して実行することにより、各部の機能を実現する。すなわち、乗員検出装置10は、プロセッサ51により実行されるときに、電磁波センサにより検出された車両内の生体情報を取得する処理と、生体情報に基づいて車両内に存在する生体を探索し、検出された生体の位置およびサイズを特定する処理と、生体の位置と車両の各座席の位置との位置関係および生体のサイズに基づいて、車両の乗員がいる座席および乗員の属性を判断する処理と、が結果的に実行されることになるプログラムを格納するためのメモリ52を備える。換言すれば、このプログラムは、乗員検出装置10の構成要素の動作の手順や方法をコンピュータに実行させるものであるともいえる。 FIG. 9 shows an example of the hardware configuration of the occupant detection device 10 when the processing circuit 50 is configured by using the processor 51 that executes the program. In this case, the functions of the components of the occupant detection device 10 are realized by software (software, firmware, or a combination of software and firmware). The software or the like is described as a program and stored in the memory 52. The processor 51 realizes the functions of each part by reading and executing the program stored in the memory 52. That is, the occupant detection device 10 performs a process of acquiring biometric information in the vehicle detected by the electromagnetic wave sensor when executed by the processor 51, and searches for and detects a living body existing in the vehicle based on the biometric information. The process of identifying the position and size of the living body, and the process of determining the seat with the occupant of the vehicle and the attributes of the occupant based on the positional relationship between the position of the living body and the position of each seat of the vehicle and the size of the living body. , Provide a memory 52 for storing the program that will be executed as a result. In other words, it can be said that this program causes the computer to execute the procedure and method of operation of the components of the occupant detection device 10.
 ここで、メモリ52は、例えば、RAM(Random Access Memory)、ROM(Read Only Memory)、フラッシュメモリ、EPROM(Erasable Programmable Read Only Memory)、EEPROM(Electrically Erasable Programmable Read Only Memory)などの、不揮発性または揮発性の半導体メモリ、HDD(Hard Disk Drive)、磁気ディスク、フレキシブルディスク、光ディスク、コンパクトディスク、ミニディスク、DVD(Digital Versatile Disc)およびそのドライブ装置等、または、今後使用されるあらゆる記憶媒体であってもよい。 Here, the memory 52 is a non-volatile or non-volatile memory such as a RAM (RandomAccessMemory), a ROM (ReadOnlyMemory), a flash memory, an EPROM (ErasableProgrammableReadOnlyMemory), and an EEPROM (ElectricallyErasableProgrammableReadOnlyMemory). Volatile semiconductor memory, HDD (Hard Disk Drive), magnetic disk, flexible disk, optical disk, compact disk, mini disk, DVD (Digital Versatile Disc) and its drive device, etc., or any storage medium used in the future. You may.
 以上、乗員検出装置10の構成要素の機能が、ハードウェアおよびソフトウェア等のいずれか一方で実現される構成について説明した。しかしこれに限ったものではなく、乗員検出装置10の一部の構成要素を専用のハードウェアで実現し、別の一部の構成要素をソフトウェア等で実現する構成であってもよい。例えば、一部の構成要素については専用のハードウェアとしての処理回路50でその機能を実現し、他の一部の構成要素についてはプロセッサ51としての処理回路50がメモリ52に格納されたプログラムを読み出して実行することによってその機能を実現することが可能である。 The configuration in which the functions of the components of the occupant detection device 10 are realized by either hardware or software has been described above. However, the present invention is not limited to this, and a configuration may be configured in which a part of the components of the occupant detection device 10 is realized by dedicated hardware and another part of the components is realized by software or the like. For example, for some components, the function is realized by the processing circuit 50 as dedicated hardware, and for some other components, the processing circuit 50 as the processor 51 is stored in the memory 52. It is possible to realize the function by reading and executing it.
 以上のように、乗員検出装置10は、ハードウェア、ソフトウェア等、またはこれらの組み合わせによって、上述の各機能を実現することができる。 As described above, the occupant detection device 10 can realize each of the above-mentioned functions by hardware, software, or a combination thereof.
 <実施の形態2>
 子供の乗員は座席に着座したときに足が床に届かないことがある。その場合、電磁波センサ21により検出されるバイタルサインの検出点の分布は、例えば図10のようになり、床に届いていない生体が生体検出部12によって検出される。また、子供の乗員は座席上に横たわることもある。その場合、バイタルサインの検出点の分布は、例えば図11および図12のようになり、この場合も、床に達していない生体が生体検出部12によって検出される。
<Embodiment 2>
Children's occupants may not reach the floor when seated. In that case, the distribution of the detection points of the vital signs detected by the electromagnetic wave sensor 21 is as shown in FIG. 10, for example, and the living body that has not reached the floor is detected by the living body detection unit 12. Children's occupants may also lie on their seats. In that case, the distribution of the detection points of vital signs is as shown in FIGS. 11 and 12, for example, and in this case as well, the living body that has not reached the floor is detected by the living body detection unit 12.
 それに対し、大人の乗員は床に足が届いた状態で着座するのが通常である。よって、乗員が大人の場合は、バイタルサインの検出点の分布は、先に示した図3および図4のようになり、床に達する生体が生体検出部12によって検出される。 On the other hand, adult occupants usually sit with their feet on the floor. Therefore, when the occupant is an adult, the distribution of the detection points of vital signs is as shown in FIGS. 3 and 4, and the living body reaching the floor is detected by the living body detection unit 12.
 そこで、実施の形態2に係る乗員検出装置10では、乗員判断部13が、生体検出部12により検出された生体が車両の床に達しているか否かを判断し、達していなければ、その生体を子供の乗員と判断する。なお、実施の形態2に係る乗員検出装置10の構成は、図1と同様である。 Therefore, in the occupant detection device 10 according to the second embodiment, the occupant determination unit 13 determines whether or not the living body detected by the living body detection unit 12 has reached the floor of the vehicle, and if not, the living body. Is judged to be a child's occupant. The configuration of the occupant detection device 10 according to the second embodiment is the same as that in FIG.
 図13は、実施の形態2に係る乗員検出装置10の動作を示すフローチャートである。図13のフローは、図7のフローに対し、ステップS105の後にステップS111を追加したものである。それ以外のステップは、図7と同様であるため、ここではそれらのステップの説明は省略する。 FIG. 13 is a flowchart showing the operation of the occupant detection device 10 according to the second embodiment. The flow of FIG. 13 is obtained by adding step S111 after step S105 to the flow of FIG. 7. Since the other steps are the same as those in FIG. 7, the description of those steps is omitted here.
 ステップS111では、乗員判断部13が、対象生体が床に達しているか否かを確認する。このとき、対象生体が床に達していれば(ステップS111でYES)、ステップS106へ進み、乗員判断部13は、実施の形態1と同様に、対象生体に対応する乗員の属性(大人か子供か)を、対象生体のサイズに基づいて判断する。しかし、対象生体が床に達していなければ(ステップS111でNO)、ステップS108へ進み、乗員判断部13は、対象生体に対応する乗員は子供であると判断する。 In step S111, the occupant determination unit 13 confirms whether or not the target living body has reached the floor. At this time, if the target living body has reached the floor (YES in step S111), the process proceeds to step S106, and the occupant determination unit 13 determines the attributes of the occupant (adult or child) corresponding to the target living body, as in the first embodiment. Is determined based on the size of the target organism. However, if the target living body has not reached the floor (NO in step S111), the process proceeds to step S108, and the occupant determination unit 13 determines that the occupant corresponding to the target living body is a child.
 実施の形態2に係る乗員検出装置10は、床に達していない生体を子供と判断することで、乗員の属性の判断精度を向上させることができる。 The occupant detection device 10 according to the second embodiment can improve the accuracy of determining the attributes of the occupants by determining the living body that has not reached the floor as a child.
 <実施の形態3>
 図14は、実施の形態3に係る乗員検出装置10の構成を示すブロック図である。図14の乗員検出装置10の構成は、図1の構成に対し、チャイルドシート検出部14を追加したものである。それ以外の要素は図1と同様であるため、ここではそれらの要素の説明は省略する。
<Embodiment 3>
FIG. 14 is a block diagram showing the configuration of the occupant detection device 10 according to the third embodiment. The configuration of the occupant detection device 10 in FIG. 14 is the configuration in which the child seat detection unit 14 is added to the configuration in FIG. Since the other elements are the same as those in FIG. 1, the description of these elements will be omitted here.
 チャイルドシート検出部14は、チャイルドシートが設置された座席を検出する。チャイルドシートが設置された座席の検出方法は任意の方法でよく、例えば、カメラで撮影した車両内の画像からチャイルドシートの画像を検出する方法でもよいし、各座席に設けられた荷重センサの出力信号、各座席のシートベルトの引き出し量あるいは張力などに基づいて検出する方法でもよい。 The child seat detection unit 14 detects the seat in which the child seat is installed. The method of detecting the seat in which the child seat is installed may be any method, for example, a method of detecting the image of the child seat from the image in the vehicle taken by the camera, or the output signal of the load sensor provided in each seat. It may be a method of detecting based on the pull-out amount or tension of the seat belt of each seat.
 また本実施の形態では、乗員判断部13は、チャイルドシートが設置された座席の位置を加味して、乗員の属性を判断する。具体的には、乗員判断部13は、チャイルドシートが設置された座席で検出された生体は子供の乗員であると判断する。 Further, in the present embodiment, the occupant determination unit 13 determines the attribute of the occupant in consideration of the position of the seat where the child seat is installed. Specifically, the occupant determination unit 13 determines that the living body detected in the seat in which the child seat is installed is a child occupant.
 図15は、実施の形態3に係る乗員検出装置10の動作を示すフローチャートである。図15のフローは、図7のフローに対し、以下に説明するステップS121,S122を追加したものである。それ以外のステップは、図7と同様であるため、ここではそれらのステップの説明は省略する。 FIG. 15 is a flowchart showing the operation of the occupant detection device 10 according to the third embodiment. The flow of FIG. 15 is obtained by adding steps S121 and S122 described below to the flow of FIG. 7. Since the other steps are the same as those in FIG. 7, the description of those steps is omitted here.
 ステップS121では、チャイルドシート検出部14が、車両内のチャイルドシートが設置された座席を探索する。図15のフローではステップS121がステップS101~S103の後に実行されるが、その順番は逆でもよい。 In step S121, the child seat detection unit 14 searches for a seat in the vehicle in which the child seat is installed. In the flow of FIG. 15, step S121 is executed after steps S101 to S103, but the order may be reversed.
 ステップS122は、ステップS105の後に実行される。ステップS122では、ステップS121の探索結果に基づいて、乗員判断部13が、対象生体に対応する乗員がいる座席にチャイルドシートが設置されているか否かを確認する。当該座席にチャイルドシートが設置されていなければ(ステップS122でNO)、ステップS106へ進み、乗員判断部13は、実施の形態1と同様に、対象生体に対応する乗員の属性(大人か子供か)を、対象生体のサイズに基づいて判断する。しかし、当該座席にチャイルドシートが設置されていれば(ステップS111でYES)、ステップS108へ進み、乗員判断部13は、対象生体に対応する乗員は子供であると判断する。 Step S122 is executed after step S105. In step S122, based on the search result of step S121, the occupant determination unit 13 confirms whether or not the child seat is installed in the seat where the occupant corresponding to the target living body is present. If a child seat is not installed in the seat (NO in step S122), the process proceeds to step S106, and the occupant determination unit 13 determines the attribute of the occupant (adult or child) corresponding to the target living body, as in the first embodiment. Is determined based on the size of the target living body. However, if a child seat is installed in the seat (YES in step S111), the process proceeds to step S108, and the occupant determination unit 13 determines that the occupant corresponding to the target living body is a child.
 実施の形態3に係る乗員検出装置10は、チャイルドシートが設置された座席の位置を加味して乗員の属性を判断するため、チャイルドシートが設置された座席にいる乗員の属性(子供)を精度よく判断することができる。 The occupant detection device 10 according to the third embodiment accurately determines the attribute (child) of the occupant in the seat where the child seat is installed in order to determine the attribute of the occupant in consideration of the position of the seat where the child seat is installed. can do.
 <実施の形態4>
 人物の体格には個人差があり、大柄な子供や小柄な大人が存在する。そのため、人物の年齢は、体のサイズから判断するよりも顔や骨格の特徴から判断する方が精度よく判断できると考えられる。そこで本実施の形態では、乗員の顔または骨格の特徴が分かる場合には、乗員判断部13が、その特徴から当該乗員の年齢を推定することで、当該乗員の属性を判断する。
<Embodiment 4>
There are individual differences in the physique of a person, and there are large children and small adults. Therefore, it is considered that the age of a person can be judged more accurately by judging from the characteristics of the face and skeleton than by judging from the size of the body. Therefore, in the present embodiment, when the characteristics of the face or skeleton of the occupant are known, the occupant determination unit 13 determines the attributes of the occupant by estimating the age of the occupant from the characteristics.
 図16は、実施の形態4に係る乗員検出装置10の構成を示すブロック図である。図16の乗員検出装置10の構成は、図1の構成に対し、車内画像取得部15および乗員画像検出部16を追加したものである。また、乗員検出装置10には、車内カメラ22が接続されている。それ以外の要素は図1と同様であるため、ここではそれらの要素の説明は省略する。 FIG. 16 is a block diagram showing the configuration of the occupant detection device 10 according to the fourth embodiment. The configuration of the occupant detection device 10 of FIG. 16 is a configuration in which an in-vehicle image acquisition unit 15 and an occupant image detection unit 16 are added to the configuration of FIG. Further, an in-vehicle camera 22 is connected to the occupant detection device 10. Since the other elements are the same as those in FIG. 1, the description of these elements will be omitted here.
 車内カメラ22は、車両内の各座席を撮影するカメラである。車内カメラ22は、1つのカメラで構成されていてもよいし、座席ごとに設けられた複数のカメラから構成されていてもよい。車内カメラ22が1つのカメラで構成される場合、車内カメラ22は、例えばオーバーヘッドコンソール(OHC)やリアビューミラーの近傍など、全ての座席を同時に撮影できる位置に設置される。以下、車内カメラ22が車両内を撮影した画像を「車内画像」という。本実施の形態では、車内カメラ22はオーバーヘッドコンソールに設置された1つのカメラで構成されているものとする。 The in-vehicle camera 22 is a camera that photographs each seat in the vehicle. The in-vehicle camera 22 may be composed of one camera or may be composed of a plurality of cameras provided for each seat. When the in-vehicle camera 22 is composed of one camera, the in-vehicle camera 22 is installed at a position where all seats can be simultaneously photographed, for example, in the vicinity of an overhead console (OHC) or a rear view mirror. Hereinafter, the image taken by the in-vehicle camera 22 inside the vehicle is referred to as an “in-vehicle image”. In the present embodiment, it is assumed that the in-vehicle camera 22 is composed of one camera installed on the overhead console.
 乗員検出装置10の車内画像取得部15は、車内カメラ22が撮影した車内画像を取得する。乗員画像検出部16は、生体検出部12が検出した生体の位置に基づいて、車内画像取得部15が取得した車内画像を解析することで、車内画像から、生体検出部12が検出した生体に対応する乗員の画像を探索する。 The vehicle interior image acquisition unit 15 of the occupant detection device 10 acquires the vehicle interior image taken by the vehicle interior camera 22. The occupant image detection unit 16 analyzes the in-vehicle image acquired by the in-vehicle image acquisition unit 15 based on the position of the living body detected by the in-vehicle image detection unit 12, and from the in-vehicle image to the living body detected by the in-vehicle detection unit 12. Search for images of the corresponding occupants.
 生体検出部12が検出した生体に対応する乗員の画像が検出された場合、乗員判断部13は、当該乗員の画像から乗員の顔または骨格の特徴を抽出し、抽出された顔または骨格の特徴に基づいて当該乗員の年齢を推定することで、当該乗員の属性(大人か子供か)を判断する。生体検出部12が検出した生体に対応する乗員の画像が検出されなかった場合には、乗員判断部13は、実施の形態1と同様に、その生体に対応する乗員の属性を、生体のサイズに基づいて判断する。 When the image of the occupant corresponding to the living body detected by the biological detection unit 12 is detected, the occupant determination unit 13 extracts the facial or skeletal characteristics of the occupant from the image of the occupant, and the extracted facial or skeletal characteristics. By estimating the age of the occupant based on the above, the attribute (adult or child) of the occupant is determined. When the image of the occupant corresponding to the living body detected by the living body detection unit 12 is not detected, the occupant determination unit 13 sets the attribute of the occupant corresponding to the living body to the size of the living body as in the first embodiment. Judgment based on.
 図17は、実施の形態4に係る乗員検出装置10の動作を示すフローチャートである。図17のフローは、図7のフローに対し、以下に説明するステップS131~S134を追加したものである。それ以外のステップは、図7と同様であるため、ここではそれらのステップの説明は省略する。 FIG. 17 is a flowchart showing the operation of the occupant detection device 10 according to the fourth embodiment. The flow of FIG. 17 is obtained by adding steps S131 to S134 described below to the flow of FIG. 7. Since the other steps are the same as those in FIG. 7, the description of those steps is omitted here.
 ステップS131では、車内画像取得部15が、車内カメラ22が撮影した車内画像を取得する。図17のフローではステップS131がステップS101~S103の後に実行されるが、その順番は逆でもよい。 In step S131, the vehicle interior image acquisition unit 15 acquires the vehicle interior image taken by the vehicle interior camera 22. In the flow of FIG. 17, step S131 is executed after steps S101 to S103, but the order may be reversed.
 ステップS132は、ステップS105の後に実行される。ステップS132では、乗員画像検出部16が、対象生体の位置に基づいて、車内画像取得部15が取得した車内画像を解析することで、車内画像から、対象生体に対応する乗員の画像を探索する。 Step S132 is executed after step S105. In step S132, the occupant image detection unit 16 searches for the image of the occupant corresponding to the target living body from the in-vehicle image by analyzing the in-vehicle image acquired by the in-vehicle image acquisition unit 15 based on the position of the target living body. ..
 ステップS133は、ステップS132の後に実行される。ステップS133では、乗員判断部13が、ステップS132で対象生体に対応する乗員の画像が検出されたかどうか確認する。対象生体に対応する乗員の画像が検出されていれば(ステップS133でYES)、ステップS134へ進む。ステップS134では、乗員判断部13は、対象生体に対応する乗員の画像を解析して、当該乗員の顔または骨格の特徴から年齢を推定することで、当該乗員の属性(大人か子供か)を判断する。 Step S133 is executed after step S132. In step S133, the occupant determination unit 13 confirms whether or not the image of the occupant corresponding to the target living body is detected in step S132. If the image of the occupant corresponding to the target living body is detected (YES in step S133), the process proceeds to step S134. In step S134, the occupant determination unit 13 analyzes the image of the occupant corresponding to the target living body and estimates the age from the characteristics of the occupant's face or skeleton to determine the attribute (adult or child) of the occupant. to decide.
 対象生体に対応する乗員の画像が検出されていなければ(ステップS133でNO)、ステップS106へ進み、乗員判断部13は、実施の形態1と同様に、対象生体に対応する乗員の属性(大人か子供か)を、対象生体のサイズに基づいて判断する。 If the image of the occupant corresponding to the target living body is not detected (NO in step S133), the process proceeds to step S106, and the occupant determination unit 13 determines the attribute of the occupant corresponding to the target living body (adult) as in the first embodiment. Whether it is a child or a child) is determined based on the size of the target living body.
 実施の形態4に係る乗員検出装置10は、乗員の顔または骨格の特徴から乗員の属性を判断するため、乗員の属性の判断精度を向上させることができる。 Since the occupant detection device 10 according to the fourth embodiment determines the occupant's attributes from the characteristics of the occupant's face or skeleton, it is possible to improve the determination accuracy of the occupant's attributes.
 <実施の形態5>
 図18は、実施の形態5に係る乗員検出装置10の構成を示すブロック図である。図18の乗員検出装置10の構成は、図16の構成に対し、表情変化検出部17を追加したものである。それ以外の要素は図16と同様であるため、ここではそれらの要素の説明は省略する。
<Embodiment 5>
FIG. 18 is a block diagram showing the configuration of the occupant detection device 10 according to the fifth embodiment. The configuration of the occupant detection device 10 of FIG. 18 is a configuration in which a facial expression change detection unit 17 is added to the configuration of FIG. Since the other elements are the same as those in FIG. 16, the description of these elements is omitted here.
 表情変化検出部17は、乗員画像検出部16が検出した乗員の顔の画像の変化を監視することで、その乗員の表情の変化を検出する。より具体的には、表情変化検出部17は、乗員の顔の画像から目(両目尻、両目頭、上瞼、下瞼など)、鼻(鼻根・鼻背・鼻翼・鼻尖など)、口(上唇、下唇など)といった顔のパーツを特徴点として抽出し、それらの特徴点の位置関係から表情の変化の有無を判断する。ただし、表情の変化の検出方法はこれに限られず、任意の方法でよい。 The facial expression change detection unit 17 detects the change in the facial expression of the occupant by monitoring the change in the image of the occupant's face detected by the occupant image detection unit 16. More specifically, the facial expression change detection unit 17 can see the eyes (outer corners of both eyes, inner corners of both eyes, upper eyelids, lower eyelids, etc.), nose (base of nose, back of nose, ala of nose, tip of nose, etc.) and mouth from the image of the face of the occupant. Facial parts such as (upper lip, lower lip, etc.) are extracted as feature points, and the presence or absence of changes in facial expressions is determined from the positional relationship of those feature points. However, the method for detecting the change in facial expression is not limited to this, and any method may be used.
 また本実施の形態では、乗員判断部13は、表情変化検出部17による乗員の表情変化の検出結果を加味して、その乗員の属性を判断する。具体的には、乗員判断部13は、乗員画像検出部16が検出した乗員の顔に表情の変化が一定時間以上なければ、その顔は乗員のものではないと判断し、当該乗員の属性を、画像ではなく、生体のサイズに基づいて判断する。 Further, in the present embodiment, the occupant determination unit 13 determines the attributes of the occupant in consideration of the detection result of the facial expression change of the occupant by the facial expression change detection unit 17. Specifically, the occupant determination unit 13 determines that the face of the occupant detected by the occupant image detection unit 16 does not change the facial expression for a certain period of time or more, and determines that the face does not belong to the occupant, and determines the attributes of the occupant. , Judgment is based on the size of the living body, not the image.
 図19は、実施の形態5に係る乗員検出装置10の動作を示すフローチャートである。図19のフローは、図17のフローに対し、以下に説明するステップS135を追加したものである。それ以外のステップは、図17と同様であるため、ここではそれらのステップの説明は省略する。 FIG. 19 is a flowchart showing the operation of the occupant detection device 10 according to the fifth embodiment. The flow of FIG. 19 is obtained by adding step S135 described below to the flow of FIG. Since the other steps are the same as those in FIG. 17, the description of these steps will be omitted here.
 ステップS135は、ステップS133で対象生体に対応する乗員の画像が検出されたと判断された場合(ステップS133でYESと判断された場合)に実行される。ステップS135では、乗員判断部13が、表情変化検出部17による乗員の表情変化の検出結果に基づいて、対象生体に対応する乗員の顔に表情の変化が無い状態が一定時間以上続いたか否かを判断する。表情の変化が無い状態が一定時間以上続いていれば(ステップS135でYES)、ステップS106へ進み、乗員判断部13は、実施の形態1と同様に、対象生体のサイズに基づいて乗員が大人か子供かを判断する。表情の変化が無い状態が続いたのが一定時間未満であれば(ステップS135でNO)、ステップS134へ進み、乗員判断部13は、実施の形態4と同様に、対象生体に対応する乗員の画像を解析して、当該乗員の顔または骨格の特徴から年齢を推定することで、当該乗員の属性(大人か子供か)を判断する。 Step S135 is executed when it is determined in step S133 that the image of the occupant corresponding to the target living body is detected (when it is determined to be YES in step S133). In step S135, whether or not the occupant determination unit 13 has not changed the facial expression of the occupant's face corresponding to the target living body for a certain period of time or more based on the detection result of the facial expression change of the occupant by the facial expression change detection unit 17. To judge. If the state in which the facial expression does not change continues for a certain period of time or more (YES in step S135), the process proceeds to step S106, and the occupant determination unit 13 determines that the occupant is an adult based on the size of the target living body, as in the first embodiment. Determine if it is a child or a child. If the state in which there is no change in facial expression continues for less than a certain period of time (NO in step S135), the process proceeds to step S134, and the occupant determination unit 13 is the same as in the fourth embodiment of the occupant corresponding to the target living body. By analyzing the image and estimating the age from the facial or skeletal features of the occupant, the attribute (adult or child) of the occupant is determined.
 実施の形態5に係る乗員検出装置10は、乗員画像検出部16が検出した乗員の顔に表情の変化が一定時間以上なければ、その乗員の属性を、画像ではなく、生体のサイズに基づいて判断する。これにより、子供がお面を付けている場合や人の顔がプリントされたシャツを着ている場合などに、大人と誤判定されることが防止される。また、例えば子供を車両に置き去りにしたことを隠すために、子供にお面を付けて大人のように見せかける偽装を見破ることができるという効果も期待できる。 In the occupant detection device 10 according to the fifth embodiment, if there is no change in facial expression on the occupant's face detected by the occupant image detection unit 16 for a certain period of time or more, the attribute of the occupant is based on the size of the living body instead of the image. to decide. This prevents children from being mistakenly identified as adults when they are wearing a mask or wearing a shirt with a person's face printed on them. In addition, for example, in order to hide the fact that the child has been left behind in the vehicle, it is possible to expect the effect of being able to detect the camouflage that makes the child look like an adult by putting on a mask.
 以上説明した実施の形態2~5は、互いに組み合わせることも可能である。例えば、実施の形態2~5の全てを組み合わせた場合、乗員検出装置10の構成は図20のようになる。図20の乗員検出装置10の構成は、図1の構成に対し、上述のチャイルドシート検出部14、車内画像取得部15、乗員画像検出部16および表情変化検出部17を追加したものである。また、乗員検出装置10には、車内カメラ22が接続される。 The embodiments 2 to 5 described above can be combined with each other. For example, when all of the second to fifth embodiments are combined, the configuration of the occupant detection device 10 is as shown in FIG. The configuration of the occupant detection device 10 of FIG. 20 is the configuration of FIG. 1 with the addition of the child seat detection unit 14, the vehicle interior image acquisition unit 15, the occupant image detection unit 16, and the facial expression change detection unit 17. Further, an in-vehicle camera 22 is connected to the occupant detection device 10.
 図20に示す乗員検出装置10の動作を示すフローチャートを図21に示す。図21のフローは、図7のフローに対し、上述のステップS111,S121,S122,S131~S135を追加したものである。言い換えれば、図21のフローは、図19のフローのステップS103の後に実施の形態3で説明したステップS122を追加するとともに、ステップS105とS132との間に、実施の形態2で説明したステップS111と、実施の形態3で説明したステップS122とを追加したものである(ステップS111は、ステップS122でNOと判断された場合に実行される)。この変形例によれば、実施の形態2~5の効果が得られる。 FIG. 21 shows a flowchart showing the operation of the occupant detection device 10 shown in FIG. 20. The flow of FIG. 21 is obtained by adding the above-mentioned steps S111, S121, S122, and S131 to S135 to the flow of FIG. 7. In other words, in the flow of FIG. 21, step S122 described in the third embodiment is added after step S103 of the flow of FIG. 19, and step S111 described in the second embodiment is added between steps S105 and S132. And step S122 described in the third embodiment are added (step S111 is executed when NO is determined in step S122). According to this modification, the effects of the second to fifth embodiments can be obtained.
 <実施の形態6>
 実施の形態1~5の乗員検出装置10は、例えば、各座席の乗員の身体状態を監視する乗員監視システムや、車両内に子供が置き去りにされることを防止する子供置き去り警報システムなど、乗員の属性を利用するシステムに広く適用可能である。実施の形態6では、乗員検出装置10を子供置き去り警報システムに適用した例を示す。
<Embodiment 6>
The occupant detection devices 10 of the first to fifth embodiments include, for example, an occupant monitoring system that monitors the physical condition of the occupants in each seat, a child abandonment warning system that prevents children from being left behind in the vehicle, and the like. It is widely applicable to systems that utilize the attributes of. In the sixth embodiment, an example in which the occupant detection device 10 is applied to a child abandonment warning system is shown.
 図22は、実施の形態6に係る子供置き去り警報システム30の構成を示すブロック図である。この子供置き去り警報システム30は、実施の形態1~5のいずれかに係る乗員検出装置10と、警報出力部31とを備えている(図22の子供置き去り警報システム30は、実施の形態1に係る乗員検出装置10を備えたものである)。 FIG. 22 is a block diagram showing the configuration of the child abandonment warning system 30 according to the sixth embodiment. The child abandonment warning system 30 includes an occupant detection device 10 according to any one of the first to fifth embodiments and an alarm output unit 31 (the child abandonment warning system 30 of FIG. 22 is the first embodiment. The occupant detection device 10 is provided).
 警報出力部31は、乗員検出装置10による乗員の属性の判断結果に基づいて、車両内の乗員が子供だけかどうかを監視し、子供だけの状態が一定時間以上続いた場合に、子供が置き去りにされるおそれがあると判断して、車両外へ警報を発する。 The alarm output unit 31 monitors whether or not the occupant in the vehicle is only a child based on the determination result of the attribute of the occupant by the occupant detection device 10, and if the state of only the child continues for a certain period of time or more, the child is left behind. It is judged that there is a risk of being damaged, and an alarm is issued outside the vehicle.
 図23は、子供置き去り警報システム30の動作を示すフローチャートである。以下、図23を参照しつつ、子供置き去り警報システム30の動作を説明する。 FIG. 23 is a flowchart showing the operation of the child abandonment warning system 30. Hereinafter, the operation of the child abandonment warning system 30 will be described with reference to FIG. 23.
 子供置き去り警報システム30が起動すると、まず乗員検出装置10が、各座席の乗員の有無および乗員の属性(大人か子供か)を判断する乗員検出処理を実行する(ステップS201)。乗員検出処理では、乗員検出装置10により、図7、図15、図17、図19または図21で示した処理が実行される。 When the child abandonment warning system 30 is activated, the occupant detection device 10 first executes an occupant detection process for determining the presence or absence of occupants in each seat and the attributes of the occupants (adult or child) (step S201). In the occupant detection process, the occupant detection device 10 executes the process shown in FIGS. 7, 15, 17, 19, or 21.
 警報出力部31は、乗員検出処理の結果に基づいて、車両内に乗員がいるか否かを確認する(ステップS202)。車両内に乗員がいなければ(ステップS202でNO)、警報出力部31は、全ての乗員が車両から降りたと判断し、処理を終了する。 The alarm output unit 31 confirms whether or not there is an occupant in the vehicle based on the result of the occupant detection process (step S202). If there are no occupants in the vehicle (NO in step S202), the alarm output unit 31 determines that all the occupants have disembarked from the vehicle and ends the process.
 車両内に乗員いる場合(ステップS202でYES)、警報出力部31は、車両内の乗員が子供だけかどうか確認する(ステップS203)。車両内の乗員に大人が含まれていれば(ステップS203でNO)、ステップS201へ戻る。 When there is an occupant in the vehicle (YES in step S202), the alarm output unit 31 confirms whether the occupant in the vehicle is only a child (step S203). If the occupants in the vehicle include an adult (NO in step S203), the process returns to step S201.
 車両内の乗員が子供だけであった場合(ステップS203でYES)、警報出力部31は、車両内の乗員が子供だけの状態が一定時間以上続いているかどうか確認する(ステップS204)。車両内の乗員が子供だけの状態が一定時間以上続いていなければ(ステップS204でNO)、ステップS201へ戻る。 When the occupant in the vehicle is only a child (YES in step S203), the alarm output unit 31 confirms whether the occupant in the vehicle has been a child only for a certain period of time or more (step S204). If the occupant in the vehicle is only a child for a certain period of time or longer (NO in step S204), the process returns to step S201.
 車両内の乗員が子供だけの状態が一定時間以上続いていれば(ステップS204でYES)、警報出力部31は、車両内に子供が置き去りにされるおそれがあると判断して、車両外へ警報を発する(ステップS205)。 If the occupant in the vehicle remains only a child for a certain period of time (YES in step S204), the alarm output unit 31 determines that the child may be left behind in the vehicle and goes out of the vehicle. An alarm is issued (step S205).
 なお、子供置き去り警報システム30が図23の処理を開始するタイミングに制約はないが、子供の置き去りは車両が停止した後に発生するため、車両が停止したタイミングで図23の処理が開始されるとよい。あるいは、子供置き去り警報システム30がドアの開閉信号や座席の荷重センサの出力信号などに基づいて乗員の乗降を検出し、乗員が乗降したタイミングで図23の処理が開始されるようにしてもよい。乗員が乗降したタイミングで図23の処理が開始される場合、車両から全ての乗員が一旦降りた後に、子供だけが再び車両に乗せられて置き去りにされることも検出できる。 Although there is no restriction on the timing at which the child abandonment warning system 30 starts the process of FIG. 23, the child abandonment occurs after the vehicle has stopped, so that the process of FIG. 23 is started at the timing when the vehicle stops. good. Alternatively, the child abandonment warning system 30 may detect the getting on and off of the occupant based on the door open / close signal, the output signal of the load sensor of the seat, and the like, and the process of FIG. 23 may be started at the timing when the occupant gets on and off. .. When the process of FIG. 23 is started at the timing when the occupants get on and off, it can be detected that after all the occupants get off the vehicle once, only the child is put on the vehicle again and left behind.
 実施の形態6に係る子供置き去り警報システム30は、子供が置き去りにされるおそれがあることを検出して警報を発するため、子供の置き去りを防止することができる。また、車両内の乗員の有無および乗員の属性を判断する乗員検出処理(ステップS201)が、実施の形態1~5のいずれかに係る乗員検出装置10によって行われるため、子供の置き去りが発生するおそれを精度よく検出することができる。 The child abandonment warning system 30 according to the sixth embodiment detects that the child may be left behind and issues an alarm, so that the child can be prevented from being left behind. Further, since the occupant detection process (step S201) for determining the presence / absence of an occupant in the vehicle and the attributes of the occupant is performed by the occupant detection device 10 according to any one of the first to fifth embodiments, the child is left behind. The fear can be detected accurately.
 なお、各実施の形態を自由に組み合わせたり、各実施の形態を適宜、変形、省略したりすることが可能である。 It is possible to freely combine each embodiment, and to appropriately modify or omit each embodiment.
 上記した説明は、すべての態様において、例示であって、例示されていない無数の変形例が想定され得るものと解される。 It is understood that the above description is an example in all aspects, and innumerable variations not illustrated can be assumed.
 10 乗員検出装置、11 生体情報取得部、12 生体検出部、13 乗員判断部、14 チャイルドシート検出部、15 車内画像取得部、16 乗員画像検出部、17 表情変化検出部、21 電磁波センサ、22 車内カメラ、30 子供置き去り警報システム、31 警報出力部、50 処理回路、51 プロセッサ、52 メモリ。 10 occupant detection device, 11 biometric information acquisition unit, 12 biometric detection unit, 13 occupant judgment unit, 14 child seat detection unit, 15 in-vehicle image acquisition unit, 16 occupant image detection unit, 17 facial expression change detection unit, 21 electromagnetic wave sensor, 22 in-vehicle Camera, 30 child car seat warning system, 31 warning output unit, 50 processing circuit, 51 processor, 52 memory.

Claims (10)

  1.  電磁波センサにより検出された車両内の生体情報を取得する生体情報取得部と、
     前記生体情報に基づいて前記車両内に存在する生体を探索し、検出された生体の位置およびサイズを特定する生体検出部と、
     前記生体の位置と前記車両の各座席の位置との位置関係および前記生体のサイズに基づいて、前記車両の乗員がいる座席および前記乗員の属性を判断する乗員判断部と、
    を備える乗員検出装置。
    A biometric information acquisition unit that acquires biometric information in the vehicle detected by an electromagnetic wave sensor,
    A biological detection unit that searches for a living body existing in the vehicle based on the biological information and specifies the position and size of the detected living body.
    A occupant determination unit that determines the seat with the occupant of the vehicle and the attributes of the occupant based on the positional relationship between the position of the living body and the position of each seat of the vehicle and the size of the living body.
    A occupant detection device equipped with.
  2.  前記生体検出部は、前記生体情報に含まれるバイタルサインの検出点の分布に基づいて前記生体の位置およびサイズを判断する、
    請求項1に記載の乗員検出装置。
    The biological detection unit determines the position and size of the biological body based on the distribution of detection points of vital signs included in the biological information.
    The occupant detection device according to claim 1.
  3.  前記乗員判断部は、前記生体が複数の座席に跨がって位置する場合、その複数の座席に跨がるように乗員がいると判断する、
    請求項1に記載の乗員検出装置。
    When the living body is located across a plurality of seats, the occupant determination unit determines that the occupant is present so as to straddle the plurality of seats.
    The occupant detection device according to claim 1.
  4.  前記乗員判断部は、前記車両の床に達していない前記生体を子供と判断する、
    請求項1に記載の乗員検出装置。
    The occupant determination unit determines that the living body that has not reached the floor of the vehicle is a child.
    The occupant detection device according to claim 1.
  5.  チャイルドシートが設置された座席を検出するチャイルドシート検出部をさらに備え、
     前記乗員判断部は、前記チャイルドシートの設置された座席で検出された前記生体を子供と判断する、
    請求項1に記載の乗員検出装置。
    It also has a child seat detector that detects the seat in which the child seat is installed.
    The occupant determination unit determines that the living body detected in the seat in which the child seat is installed is a child.
    The occupant detection device according to claim 1.
  6.  前記車両内を撮影した画像である車内画像を取得する車内画像取得部と、
     前記車内画像から前記乗員の画像を探索する乗員画像検出部と、
    をさらに備え、
     前記乗員判断部は、前記乗員の画像が検出された場合、前記乗員の画像に基づいて当該乗員の年齢を推定することで前記乗員の属性を判断する、
    請求項1に記載の乗員検出装置。
    An in-vehicle image acquisition unit that acquires an in-vehicle image that is an image of the inside of the vehicle,
    An occupant image detection unit that searches for an image of the occupant from the in-vehicle image,
    Further prepare
    When the image of the occupant is detected, the occupant determination unit determines the attribute of the occupant by estimating the age of the occupant based on the image of the occupant.
    The occupant detection device according to claim 1.
  7.  前記乗員判断部は、前記乗員の顔の特徴から当該乗員の年齢を推定する、
    請求項6に記載の乗員検出装置。
    The occupant determination unit estimates the age of the occupant from the facial features of the occupant.
    The occupant detection device according to claim 6.
  8.  前記乗員判断部は、前記乗員の骨格の特徴から当該乗員の年齢を推定する、
    請求項6に記載の乗員検出装置。
    The occupant determination unit estimates the age of the occupant from the characteristics of the skeleton of the occupant.
    The occupant detection device according to claim 6.
  9.  前記乗員の顔の画像の変化を監視することで当該乗員の表情の変化を検出する表情変化検出部をさらに備え、
     前記乗員判断部は、前記乗員の表情に一定時間以上変化がない場合、その乗員の属性を、前記乗員の画像ではなく、前記生体のサイズに基づいて判断する、
    請求項6に記載の乗員検出装置。
    It is further provided with a facial expression change detection unit that detects changes in the facial expression of the occupant by monitoring changes in the image of the occupant's face.
    When the facial expression of the occupant does not change for a certain period of time or more, the occupant determination unit determines the attribute of the occupant based on the size of the living body, not on the image of the occupant.
    The occupant detection device according to claim 6.
  10.  乗員検出装置の生体情報取得部が、電磁波センサにより検出された車両内の生体情報を取得し、
     前記乗員検出装置の生体検出部が、前記生体情報に基づいて前記車両内に存在する生体を探索し、検出された生体の位置およびサイズを特定し、
     前記乗員検出装置の乗員判断部が、前記生体の位置と前記車両の各座席の位置との位置関係および前記生体のサイズに基づいて、前記車両の乗員がいる座席および前記乗員の属性を判断する、
    乗員検出方法。
    The biometric information acquisition unit of the occupant detection device acquires the biometric information in the vehicle detected by the electromagnetic wave sensor, and
    The biological detection unit of the occupant detection device searches for a living body existing in the vehicle based on the biological information, identifies the position and size of the detected living body, and determines the position and size of the detected living body.
    The occupant determination unit of the occupant detection device determines the seat with the occupant of the vehicle and the attributes of the occupant based on the positional relationship between the position of the living body and the position of each seat of the vehicle and the size of the living body. ,
    Crew detection method.
PCT/JP2020/021331 2020-05-29 2020-05-29 Occupant detection device and occupant detection method WO2021240777A1 (en)

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