Biological body detection device

Abstract

A biological body detection device is provided with at least one radar and an ECU. The radar is mounted in a vehicle, transmits a pulse wave of a predetermined frequency, and receives a reflected wave of the pulse wave. The radar performs a plurality of times of transmission and reception at predetermined intervals. The reception time of the reflected wave is longer than the time corresponding to the distance between the radar and the position farthest from the radar in the end portion of the vehicle. The ECU detects the presence or absence of a living body on the basis of a reception signal during multiple transmissions and receptions.

Description

[0001] Cross-reference to related applications

[0002] This application claims priority to Japanese Patent Application No. 2023-161604, filed in Japan on September 25, 2023, the entire contents of which are incorporated herein by reference. Technical Field

[0003] The disclosure in this specification relates to biological detection devices. Background Technology

[0004] Patent Document 1 discloses a passenger inspection device equipped with radar that transmits pulse waves and receives reflected waves. The description of the aforementioned technical document is incorporated herein by reference as an explanation of the technical elements.

[0005] Patent Document 1: Japanese Patent Application Publication No. 2017-181225

[0006] In biological detection devices using pulsed waves, there is a problem of low detection accuracy. Therefore, further improvements are required for biological detection devices, either from the perspectives mentioned above or from other perspectives not mentioned. Summary of the Invention

[0007] This disclosure was made in view of such a problem, with the aim of providing a biological detection device that can improve the detection accuracy of biological organisms in a vehicle.

[0008] In a bio-detection device using pulsed waves, the presence or absence of a living organism is detected by repeatedly transmitting and receiving signals at predetermined intervals. In-depth research has revealed that during these multiple transmissions and receptions, a time shift occurs in the received waveform, known as a sampling bias. Changes caused by the presence of a living organism are masked by this sampling bias, preventing the detection of the organism. The disclosed bio-detection device is based on this understanding.

[0009] As a publicly available method, a biological detection device includes:

[0010] At least one radar, mounted on a vehicle, transmits pulse waves of a specified frequency and receives reflected pulse waves; and

[0011] The detection department uses radar-received signals to detect the presence of living organisms inside the vehicle.

[0012] The radar performs multiple transmissions and receptions at specified intervals.

[0013] The reception time of the reflected wave is longer than the time equivalent to the distance from the radar at the farthest point in the vehicle's end.

[0014] The detection department detects the presence of living organisms based on the received signals from multiple transmissions and receptions.

[0015] According to the publicly available bio-detection device, multiple transmissions and receptions are performed, and the presence or absence of a living organism is detected based on the multiple received signals. By extending the reception time, the radar receives the indirect wave from the living organism via the metal body of the vehicle. In this way, multipath is actively utilized. Even if sampling deviations occur due to the delayed reception of the indirect wave relative to the direct wave from the metal body, the presence or absence of a living organism can be detected. As a result, the detection accuracy of living organisms inside the vehicle can be improved.

[0016] The various methods disclosed in this specification employ different technical means to achieve their respective purposes. The parenthetical reference numerals in the accompanying drawings listed in the section on technical solutions and technical concepts illustratively show the correspondence with portions of the embodiments described later, and are not intended to limit the scope of the technology. The purposes, features, and effects disclosed in this specification become clearer with reference to the following detailed description and accompanying drawings. Attached Figure Description

[0017] Figure 1 This is a diagram illustrating the detection principle.

[0018] Figure 2 This is a diagram showing an example of a radar's received waveform.

[0019] Figure 3 This is a graph showing the time variation of the received intensity of the reflected wave.

[0020] Figure 4 This is a diagram showing the installation location of the radar in the vehicle.

[0021] Figure 5 This is a graph showing the results of the measured reflection intensity.

[0022] Figure 6 It is Figure 5 The graph shown is a time-distance representation.

[0023] Figure 7 This is a graph showing the time variation in the intensity of the reflected waves received when a child is sitting in seat P.

[0024] Figure 8 It means to Figure 7 A diagram of the waveform after filtering.

[0025] Figure 9 This is a graph representing the sampling deviation during multiple transmissions and receptions.

[0026] Figure 10 This is a graph showing the time variation in the intensity of the reflected waves received when a child is in the trunk.

[0027] Figure 11 It means to Figure 10 A diagram of the waveform after filtering.

[0028] Figure 12 This is a diagram illustrating the biological detection device according to the first embodiment.

[0029] Figure 13 It is a diagram representing indirect waves from a living organism through a metallic body.

[0030] Figure 14 This is a flowchart representing the detection and processing of biological organisms.

[0031] Figure 15 This is a graph showing the time variation of the received signal strength at point SP1.

[0032] Figure 16 It means to Figure 15 A diagram of the waveform after filtering.

[0033] Figure 17 This is a flowchart illustrating the biological detection process performed by the biological detection device according to the second embodiment.

[0034] Figure 18 This is a flowchart illustrating the biological detection process performed by the biological detection device according to the third embodiment.

[0035] Figure 19 This is a diagram representing a variation.

[0036] Figure 20 This is a flowchart illustrating the biological detection process performed by the biological detection device according to the fourth embodiment.

[0037] Figure 21 This is a diagram illustrating an example of the displacement of a moving object relative to the radar.

[0038] Figure 22 It is a graph representing the change in relative velocity.

[0039] Figure 23 This is a diagram illustrating an example of the radar configuration in the biological detection device according to the fifth embodiment.

[0040] Figure 24 This is a flowchart representing the detection and processing of biological organisms.

[0041] Figure 25 This is a diagram showing the received waveform of a pulse from both the in-vehicle radar and the external radar.

[0042] Figure 26 This is a diagram showing an example of the installation positions of multiple radars in a vehicle in the biological detection device of the sixth embodiment.

[0043] Figure 27 This is a diagram representing the detection and processing of biological organisms. Detailed Implementation

[0044] Hereinafter, several embodiments will be described based on the accompanying drawings. Furthermore, sometimes repeated descriptions are omitted by using the same reference numerals for corresponding components in each embodiment. When only a portion of the configuration is described in each embodiment, the other portions of that configuration can be constructed using the configurations of other embodiments described above. Moreover, not only combinations of configurations explicitly shown in the descriptions of each embodiment, but also combinations of configurations from multiple embodiments can be partially combined with each other, even if not explicitly shown, as long as such combinations do not particularly hinder the process.

[0045] (First Implementation)

[0046] As a passenger sensing application within the vehicle, child safety checks have been added to EuroNCAP since 2023, becoming a bonus factor. Specifically, after 2025, it was decided that only the types of child safety checks directly related to child safety would be considered in the evaluation. EuroNCAP stands for European New Car Assessment Program.

[0047] Therefore, it is necessary to check the entire area inside the vehicle for biological information such as breathing and body movement to identify the presence of children. One of the evaluation criteria is that the inspection needs to be carried out while the child is covered with a blanket or in a child seat, which makes it difficult to conduct the inspection using cameras or similar methods. Using radio waves is considered more feasible.

[0048] The bio-detection device of this embodiment uses pulse waves to detect the presence of living organisms inside the vehicle, as described later. For example, the bio-detection device can be used for the inspection of children left behind. The living organisms that can be detected by the bio-detection device are not limited to children, but can also include passengers other than children, animals such as dogs or cats, etc.

[0049] First, based on Figure 1 as well as Figure 2 The detection principle of organisms that use pulse waves as radio waves is explained.

[0050] <Detection Principle>

[0051] Figure 1 The detection principle is illustrated. Figure 1 The image shows the displacement of the body surface caused by respiration. Figure 1 In the diagram, solid arrows represent transmitted pulse waves (transmitted waves), dashed arrows represent reflected waves based on the human body, and double-dotted arrows represent transmitted waves that pass through the human body. Figure 2 An example of a radar's received waveform is shown. Figure 3 The time variation of the received intensity of the reflected wave is shown. Figure 3 The temporal variation of the received strength is shown in multiple transmissions and receptions. Here, a human body is shown as an example, represented as organism 100.

[0052] like Figure 1 As shown, if a high-frequency pulse wave is irradiated onto a living organism 100 (human body) from radar 30, part of it will pass through the organism 100, and the other part will be reflected off the body surface for 100 seconds. High frequency refers to frequencies above 1 GHz. Radar 30 is, for example, a UWB radar. UWB stands for Ultra Wide Band. Because respiration causes a displacement of the body surface for 100 seconds, the distance between radar 30 (antenna) and the living organism 100 changes according to respiration. The displacement Δd of the body surface for 100 seconds caused by respiration is, for example, approximately 1 mm to 10 mm.

[0053] Therefore, as Figure 2 As shown by the middle arrow, the intensity of the received reflected wave varies depending on breathing. Figure 2 The received waveform is shown under the specified transmit and receive timing. By monitoring the received waveforms of multiple transmit and receive operations, it is possible to obtain... Figure 3 The waveform shown represents the time variation of the received intensity of the reflected wave. Figure 3 The time variation shown is specific to the respiration of organism 100. Therefore, the presence or absence of an organism can be detected using this time variation. For body movement, since the distance between radar 30 and organism 100 also changes, it can be detected by monitoring the received waveform.

[0054] <Sampling bias>

[0055] Figure 4 The installation location of the radar (UWB radar) used to measure the reflection intensity is shown. Figure 5 The results of the measured reflection intensity are shown. Figure 6 It is Figure 5 The graph shown is a time-distance permutation. For convenience, in Figure 6 In the figure, the distance is shown as half of the distance (round trip distance) corresponding to the received strength, which is the one-way distance. Figure 7 The time variation of the received intensity of the reflected wave when the child (organism) sits on seat P is shown. Figure 7 and Figure 3 correspond. Figure 7 This shows the temporal variation in the intensity of the child's reception at a distance of L1. Figure 8 Showing the Figure 7 The waveform after filtering. Figure 8 The waveform after frequency filtering (0.1 to 1 Hz) is shown. Figure 9 The sampling deviation is shown in multiple transmission and reception operations.

[0056] like Figure 4 As shown, when measuring the reflection intensity, the radar 30 is positioned near the front end of the vehicle roof and near the center in the left-right direction, specifically on the top console. Figure 5 The received waveform shows the waveform in the absence of any living organisms inside the vehicle (reference waveform). The horizontal axis represents the elapsed time from the transmission of the pulse wave to the reception of the reflected wave, i.e., the reception time. For example... Figure 5 As shown, the location with higher received intensity near time zero (0) is due to reflection (direct wave) from the metal roof. In the received waveform, not only the roof but also reflections from metal bodies such as the vehicle body are superimposed depending on the distance from the radar 30. In the region with shorter received time, the direct wave effect of the metal body is greater, resulting in higher received intensity.

[0057] When detecting the presence of living beings inside the vehicle, such as children, consider monitoring the reception strength of radar 30 at distances equivalent to the distance between each seat where a child might be present. In this case, if... Figure 6 The diagram shows the conversion of time to distance, examining changes in position equivalent to the distance from radar 30 to each seat. Figure 6 The following Equation 1 holds between the distance shown (one-way distance) and the time Δt from the transmission of the pulse wave to its reception. C is the speed of light (3 × 10⁻⁶). 8 (m / s). Twice the one-way distance is the round-trip distance.

[0058] One-way distance × 2 = c × Δt ··· (Equation 1)

[0059] Figure 6 The dotted lines indicate the positions of the front seats (D and P seats), rear seats (behind D and P seats), and the trunk. The front seats are located at a distance L1 from the radar (30 units). The rear seats are located at a distance L2 from the radar (30 units). The trunk is located at a distance L3 from the radar (30 units). Distances L1, L2, and L3 satisfy the relationship L1 < L2 < L3. D seat is the driver's seat, and P seat is the front passenger seat.

[0060] However, even if the child is in the front seat, such as Figure 7 as well as Figure 8 As shown, it is also clear that waveforms equivalent to breathing cannot be checked. The reason why checks cannot be performed at locations close to radar 30, such as D and P seats, is due to the sampling deviation of radar 30. In multiple transmissions and receptions, such as... Figure 9 As illustrated, a time offset on the order of nanoseconds occurs in the received waveform. Therefore, at a given sampling point, a deviation occurs in the reference received strength.

[0061] The greater the received signal strength, the greater the impact of this bias. For example, in the case of a child in a seat (e.g., the front seat) where the effect is equivalent to the residual reflection from the ceiling, minute changes such as breathing are masked by the received signal strength variation caused by the sampling bias. Thus, it can be seen that changes in a living organism are masked by variations caused by the sampling bias, making it impossible to detect the organism's activity.

[0062] Figure 10 The time variation of the received intensity of the reflected wave when the child is in the trunk is shown. Figure 10 and Figure 3 correspond. Figure 10 The temporal variation of the received intensity is shown when the child is at a distance L3. Figure 11 Showing the Figure 10 The waveform after applying filtering. Figure 11 and Figure 8 Similarly, the waveform after frequency filtering (0.1 to 1 Hz) is shown.

[0063] When the child is in the trunk, such as Figure 10 as well as Figure 11 As shown, the waveform equivalent to breathing cannot be detected. The trunk is located far from radar 30, and there are obstacles such as seats on the straight path from radar 30 to the trunk. Therefore, it is believed that the radio waves are attenuated, making breathing detection difficult.

[0064] The biological detection device of this embodiment is based on the above-described view. Next, the general structure of the biological detection device will be described.

[0065] <Biological Detection Device>

[0066] Figure 12 The schematic structure of the biological detection device of this embodiment is shown. Figure 13 Indirect waves are shown. For example... Figure 12 As shown, the biological detection device 20 includes at least one radar 30 and an ECU 40. ECU is short for Electronic Control Unit. ECU 40 is sometimes referred to as an electronic control device.

[0067] Radar 30 transmits pulse waves at a predetermined frequency and receives reflected pulse waves. Radar 30 has an antenna 31. Antenna 31 may include both a transmitting antenna and a receiving antenna, or it may include an antenna that can transmit and receive simultaneously. The frequency of the pulse wave is high, as described above, for example, a frequency above 1 GHz. Radar 30 is a UWB radar or a millimeter-wave radar. As an example, radar 30 in this embodiment is an IR-type UWB radar. IR is short for Impulse Radio. The so-called pulse signal used in UWB communication can be a signal with a pulse width of an extremely short time (e.g., 2 ns) and a bandwidth of 500 MHz (strictly speaking, 499.2 MHz) or more, i.e., an ultra-wide bandwidth signal.

[0068] Radar 30 is installed in vehicle 10. The biological detection device 20 may have only one radar 30 or multiple radars. As an example, the biological detection device 20 of this embodiment has only one radar 30. Figure 4 as well as Figure 13 As shown, radar 30 is positioned near the front end of the roof 11 and approximately in the center of the left-right direction within the vehicle interior. Radar 30 is also located on the overhead console. Radar 30 can, for example, also function as the radar for a smart entry system. Antenna 31 can, for example, be an omnidirectional antenna.

[0069] During the biological detection process described later, radar 30 performs multiple transmissions and receptions at predetermined intervals. Radar 30 performs these multiple transmissions and receptions at time intervals that are sufficiently short relative to the breathing cycle. The reception time of the reflected waves is longer than the time corresponding to the distance between the radar 30 and the farthest point at the end of the vehicle 10 from radar 30. Thus, radar 30... Figure 13 As shown, the indirect wave from the organism via the metal body of vehicle 10 is received. Thus, the organism detection device 20 actively utilizes multipath. As an example, in this embodiment, vehicle 10 is a five-seater sedan. The farthest end of vehicle 10 from radar 30 is the rear end of the vehicle, and the distance from radar 30 to the rear end is approximately 2 meters. The reception time of the reflected wave is longer than the time equivalent to a distance of 2 meters to the rear end of the vehicle. The reception time could also be, for example, the time equivalent to a round trip distance of 4 meters between radar 30 and the rear end of the vehicle (approximately 13 ns). Radar 30 could also perform another transmission / reception after 100 ms following a previous transmission / reception.

[0070] ECU 40 controls the operation of radar 30. Based on the signals received by radar 30, ECU 40 detects the presence of living organisms inside the vehicle. ECU 40 is equivalent to a detection unit. ECU 40 detects the presence of living organisms based on multiple received signals. As an example, in this embodiment, ECU 40 detects the presence of living organisms based on the time variation of multiple received signals. ECU 40 is configured to include a processor 41, memory 42, and storage 43, etc.

[0071] Processor 41 performs various processes by accessing memory 42. Memory 42 is a rewritable volatile storage medium. Memory 42 is, for example, RAM. RAM is short for Random Access Memory. Memory 43 is a rewritable non-volatile storage medium. The program executed by processor 41 is stored in memory 43. ECU 40 constructs multiple functional units by accessing memory and executing programs. Processor 41 executing programs is equivalent to executing the biological detection method described later. ECU 40 may also have multiple processors 41. ECU 40 may also be used as the ECU of a smart entry system, for example. ECU 40 only needs to include the function of detecting the presence of living beings in the vehicle together with radar 30, such as a child safety check function.

[0072] <Biological Detection Methods>

[0073] Figure 14 This is a flowchart illustrating the processes performed by the biodetection device, i.e., the biodetection method. For example, if the door of vehicle 10 is locked, the biodetection device 20 performs... Figure 14 The biological detection and processing shown.

[0074] ECU40 controls the operation of radar 30 to perform transmission and reception processing within a specified period (step S10). Thus, radar 30 performs transmission and reception processing. As an example, in this embodiment, the specified period is ten seconds from the time the vehicle door is locked. During the specified period, radar 30 repeatedly performs transmission and reception multiple times at specified intervals. As described above, the reception time for one transmission is 13 ns, and multiple transmissions and receptions are performed at 100 ms intervals.

[0075] Next, ECU40 acquires multiple received signals from radar 30 during the aforementioned specified period and begins cyclic processing (step S20). ECU40 sequentially performs cyclic processing on pre-set sampling points. Sampling points are, for example,... Figure 6 The specified value of the distance shown, or, Figure 5The time specified is shown. Multiple sampling points can also be set at specified intervals or at specified time intervals. For example, sampling points can be set every 0.1 m or every 1 ns. Sampling points can also be set based on data obtained through experiments, etc.

[0076] ECU40 calculates the time variation of the received intensity at the specified sampling points, i.e., the amplitude (step S30). Next, ECU40 compares the calculated amplitude with a threshold to determine if the amplitude is greater than the threshold (step S40). As described above, the received intensity of the reference waveform is generally greater the closer it is to the radar 30. A threshold is set based on the sampling points. A threshold is set based on the amplitude of the reference waveform. A threshold is set considering the sampling deviation, i.e., the deviation of the received intensity of the reference waveform. This helps to suppress false judgments.

[0077] If the amplitude is below the threshold, ECU40 performs steps S30 and S40 for the next sampling point. If the amplitude of all sampling points is below the threshold, ECU40 ends the loop processing (step S50). Next, ECU40 determines that there is no living organism 100 in the vehicle (step S60) and ends the series of processes. In step S40, if the amplitude is greater than the threshold, ECU40 determines that breathing or body movement is superimposed on the reference waveform, in other words, there is a living organism 100 in the vehicle (step S70), and ends the series of processes.

[0078] The ECU40 detects the presence of a living organism 100 based on the temporal variation of the received intensity at the sampling point. As described above, the reflected wave sampled immediately after transmission is superimposed with direct waves from metallic objects such as the ceiling 11. Therefore, variations such as breathing are easily masked by changes in received intensity caused by sampling deviations.

[0079] On the other hand, in the sampling of the reflected wave after a certain period of time following transmission, the influence of the direct wave from the metal body is weakened, and the waveform of the reflected wave from the living organism 100 is observed to undergo further diffuse reflection within the vehicle body before reaching the radar 30. The indirect wave from the living organism 100 via the metal body arrives at the radar 30 with a delay relative to the direct wave from the metal body. Therefore, compared with the location where the reflection intensity of the reference waveform is higher, changes such as breathing are easily observed.

[0080] Figure 15 Show Figure 6 The temporal variation of the received intensity at sampling point SP1 is shown by a double-dotted line. Figure 15 and Figure 3 correspond. Figure 16 Showing the Figure 15 The waveform after filtering. Figure 16 and Figure 8Similarly, the waveform after frequency filtering (0.1–1 Hz) is shown. Sampling point SP1 is a distance longer than 2 m to the rear of the vehicle, for example, 2.4 m. The distance of sampling point SP1 is more than twice the distance to the front seat (distance L1). ECU40 includes sampling point SP1 as a sampling point. Figure 16 As shown, at sampling point SP1, the influence of direct waves from the metal body is reduced, while indirect waves from the organism 100 via the metal body can be observed. Figure 16 In the study, changes based on respiration are manifested as amplitude.

[0081] Furthermore, at locations far from radar 30, such as the trunk, as described above, there may be direct wave attenuation, preventing the signal from reaching the living organism 100 located in the trunk. However, pulse waves can reach the living organism 100 through reflection paths such as the floor, and the reflected waves from the living organism 100 can undergo diffuse reflection within the vehicle body and reach radar 30. Thus, at sampling points where the influence of direct waves based on metallic bodies is reduced, as described above, changes caused by breathing, etc., can be detected.

[0082] <Summary of the First Implementation>

[0083] In this embodiment, the focus is on the superposition of the received waveform of the radar 30 with the reflected wave from a living organism (passenger) being delayed in the time direction along various paths within the vehicle. According to the living organism detection device 20 of this embodiment, the radar 30 performs multiple transmissions and receptions, and the ECU 40 (detection unit) detects the presence or absence of a living organism 100 based on the multiple received signals. In each transmission and reception, the reception time of the reflected wave is longer than the time corresponding to the distance from the radar 30 to the furthest point at the end of the vehicle 10. By lengthening the reception time, the radar 30 receives the indirect wave from the living organism 100 via the metal body of the vehicle 10. Thus, multiple paths are actively utilized.

[0084] At sampling points where indirect waves are superimposed, the influence of direct waves based on the metallic body is relatively small; for example, the received strength of the reference waveform is low. Therefore, even if... Figure 9 As illustrated, even with nanosecond-level time shifts (sampling deviations) generated during multiple receptions, the presence or absence of a living being 100 can still be detected. This improves the accuracy of detecting living beings 100 inside the vehicle. For example, it can improve the accuracy of checks for abandoned children.

[0085] The ECU40 can also detect the presence or absence of a living organism 100 based on the temporal variation, or amplitude, of the received intensity during multiple receptions. Variations such as breathing or body movement are superimposed on a reference waveform. In other words, the amplitude increases the amount of breathing or body movement. Thus, the presence or absence of a living organism 100 can be detected based on amplitude. By using amplitude, not only variations based on breathing but also variations based on body movement can be detected.

[0086] UWB radar can also be used as radar 30. In recent years, the market demand for utilizing smartphones (smartphones) as car keys has increased. In UWB, one such method, the location of the smartphone is determined by measuring the communication time between the smartphone and the car using compressed pulsed radio waves, which then triggers the opening and closing of the car key and the starting of the engine. By using UWB radar, it can be used interchangeably with smart entry systems, reducing costs. No additional sensing radar is required. Furthermore, millimeter-wave radar can be used instead of UWB radar.

[0087] (Second Implementation)

[0088] This embodiment is a variation of the aforementioned embodiment, and the description of the aforementioned embodiment can be referenced. In the aforementioned embodiment, the presence or absence of living organisms is detected based on amplitude. Alternatively, the presence or absence of living organisms can be detected based on frequency characteristics.

[0089] Figure 17 The process performed by the biological detection device of this embodiment is shown to be the biological detection method. Figure 17 In the biological detection process shown, the processing in steps S130 and S140 is similar to... Figure 14 The processes in steps S30 and S40 shown are different. Other processes are the same. Figure 14 The processing shown is the same.

[0090] For example, if the doors of vehicle 10 are locked, the biometric detection device 20 will execute... Figure 17 The biological detection and processing shown. The processing in steps S110 and S120 is similar to... Figure 14 The processes in steps S10 and S20 are identical. In the loop processing, ECU40 calculates the frequency response (step S130). ECU40 calculates the frequency response, for example, based on the time variation of the received intensity at a specified sampling point. ECU40 uses a high-speed Fourier transform (FFT) on the time variation (amplitude) of the received intensity to calculate the frequency response. ECU40 calculates kurtosis, for example, as a frequency response. Kurtosis is the value obtained by dividing the received intensity at the peak frequency by the average intensity of the other frequencies.

[0091] Next, ECU 40 compares the calculated kurtosis with a threshold to determine if the kurtosis is greater than the threshold (step S140). If the kurtosis is below the threshold, ECU 40 performs steps S130 and S140 on the next sampling point. If the kurtosis of all sampling points is below the threshold, ECU 40 ends the loop processing (step S150), determines that there is no living organism 100 inside the vehicle (step S160), and ends the series of processes. The processing in step S150 is the same as that in step S50. The processing in step S160 is the same as that in step S60.

[0092] In step S140, if the kurtosis is greater than the threshold, the ECU40 determines that breathing has been detected, meaning there is a living organism 100 inside the vehicle (step S170), and terminates the series of processes. The process in step S170 is the same as that in step S70. The other configurations are the same as those described in the aforementioned embodiment.

[0093] <Summary of the Second Implementation>

[0094] According to this embodiment, the same effects as those described above can be achieved. For example, even if a time offset on the order of nanoseconds occurs during multiple receptions, i.e., a sampling deviation, the presence or absence of a living organism 100 can still be detected. Therefore, the detection accuracy of living organisms 100 inside the vehicle can be improved.

[0095] ECU40 can also detect the presence or absence of a living organism 100 based on the frequency characteristics of multiple received signals. It can detect the presence or absence of a living organism 100 based on whether the frequency characteristics are specific to respiration.

[0096] (Third Implementation)

[0097] This embodiment is a variation of the aforementioned embodiment, and the description of the aforementioned embodiment can be referenced. In the aforementioned embodiment, the presence or absence of living organisms is detected based on amplitude or frequency characteristics. Alternatively, the presence or absence of living organisms can be detected based on both amplitude and frequency characteristics.

[0098] Figure 18 The process performed by the biological detection device of this embodiment is also known as the biological detection method. Figure 18 The biological detection and processing shown is configured to... Figure 14 The processing added as shown Figure 17 Steps S130 and S140.

[0099] For example, if the doors of vehicle 10 are locked, the biometric detection device 20 will execute... Figure 18 The biological detection and processing shown. Steps S210, S220, S230, and S240 are related to... Figure 14The processing of steps S10, S20, S30, and S40 is the same. In step S240, if the amplitude is below the amplitude threshold, ECU40 calculates the frequency response (step S250). ECU40 calculates kurtosis, for example, as a frequency response characteristic. Next, ECU40 determines whether the kurtosis is greater than the kurtosis threshold (step S260). The processing of steps S250 and S260 is the same as... Figure 17 The processes shown in steps S130 and S140 are the same.

[0100] If the kurtosis is below the threshold, ECU40 performs the processing after step S230 for the next sampling point. If, for all sampling points, the amplitude is below the amplitude threshold and the kurtosis is below the kurtosis threshold, ECU40 ends the loop processing (step S270), determines that there is no living organism 100 inside the vehicle (step S280), and terminates the series of processes. The processing in steps S270 and S280 is the same as that in steps S50 and S60.

[0101] If the amplitude is greater than the amplitude threshold in step S240, the ECU40 determines that there is a living organism 100 inside the vehicle (step S290) and terminates the series of processes. If the kurtosis is greater than the kurtosis threshold in step S260, the process of step S290 is also executed, and the series of processes terminates. The process of step S290 is the same as the process of step S70. Other configurations are the same as those described in the aforementioned embodiment.

[0102] <Summary of the Third Implementation>

[0103] According to this embodiment, the same effects as those described above can be achieved. For example, even if a time offset on the order of nanoseconds occurs during multiple receptions, i.e., a sampling deviation, the presence or absence of a living organism 100 can still be detected. Therefore, the detection accuracy of living organisms 100 inside the vehicle can be improved.

[0104] The ECU40 can first determine the presence of a living being 100 based on the time variation, or amplitude, of multiple received signals. If no living being 100 is detected based on amplitude, the presence of a living being 100 can be determined based on the frequency characteristics of multiple received signals. As described above, by using amplitude, not only can changes based on the breathing of the living being 100 be detected, but also changes based on body movement can be detected. Furthermore, even if minute changes based on breathing are masked by variations in the received signal caused by sampling deviations, and the living being 100 cannot be detected by amplitude, breathing can still be detected by using frequency characteristics, i.e., the living being 100 can be detected. In other words, the detection accuracy of the living being 100 inside the vehicle can be further improved.

[0105] <Variation Example>

[0106] ECU40 can also first detect the presence or absence of a living organism 100 based on amplitude, and if a living organism 100 is detected based on amplitude, it can then detect the presence or absence of a living organism 100 based on the frequency characteristics of multiple received signals. For example... Figure 19 As shown, ECU40 determines whether the amplitude is greater than the amplitude threshold (step S240), and calculates the frequency response if the amplitude is greater than the amplitude threshold (step S250). ECU40 determines whether the kurtosis is greater than the kurtosis threshold (step S260), and determines that there is a living organism if the kurtosis is greater than the kurtosis threshold (step S290). In other words, if the amplitude is greater than the amplitude threshold and the kurtosis is greater than the kurtosis threshold, it is determined that there is a living organism. If the values ​​in steps S240 and S260 are below the threshold, the loop process is executed until there are no more sampling points. If there are no more sampling points, the loop process ends (step S270), and it is determined that there is no living organism (step S280).

[0107] Increasing the number of sampling points increases the likelihood of detecting a living organism 100, while conversely increasing the likelihood of reacting to disturbances such as pedestrians outside the vehicle. When using amplitude, for example, there are cases where the minute changes in breathing at a distance from the radar 30, such as under the feet, when the radar 30 is mounted on the roof, become equivalent to changes in breathing outside the vehicle. According to this embodiment, not only amplitude but also frequency characteristics are used. Since the presence or absence of a living organism 100 is detected in two stages, false detections can be suppressed.

[0108] (Fourth Implementation)

[0109] This embodiment is a variation based on the aforementioned embodiment, and the description of the aforementioned embodiment can be referenced. In the aforementioned embodiment, an example of eliminating interference by using amplitude and frequency characteristics was shown. Alternatively, interference can be eliminated by using relative velocity.

[0110] Figure 20 The process performed by the biological detection device of this embodiment is also known as the biological detection method. Figure 21 An example of the displacement of a moving body relative to a radar (e.g., a UWB radar) is shown. Figure 22 This shows the change in relative velocity.

[0111] For example, if the doors of vehicle 10 are locked, the biometric detection device 20 will execute... Figure 20 The biological detection and processing shown. Steps S310, S320, S330, and S340 are related to... Figure 14 The processes shown in steps S10, S20, S30, and S40 are the same.

[0112] If the amplitude is greater than the threshold in step S340, ECU40 calculates the relative speed based on any received waveform from multiple received signals (received waveforms) (step S350). Based on the relative speed, ECU40 determines whether it is a moving object 110 outside the vehicle (step S360).

[0113] By using radar 30 as a Doppler sensor, the relative velocity of the moving body 110 relative to radar 30 can be calculated. When calculating the relative velocity based on the Doppler principle, the time span used for measurement is extended, that is, the reception time of the reflected wave. Thus, a result incorporating a component of the relative velocity within this time span is obtained. Figure 21 As shown, when the moving body 110 moves across the radar 30, if the time width is widened, the relative velocity takes on a line-of-sight component, and therefore changes constantly. As a result, as... Figure 22 As shown, relative speed has various values ​​and can be used as a characteristic quantity to determine whether it is a moving object 110 outside the vehicle. The moving object 110 outside the vehicle is, for example, a pedestrian outside the vehicle or an adjacent vehicle.

[0114] Furthermore, the distance to the moving object 110 can be calculated along with the relative speed, and the presence or absence of the moving object 110 outside the vehicle can be determined based on the distance and relative speed. By increasing the distance, it is possible to more reliably detect whether the moving object 110 is outside the vehicle.

[0115] If, in step S340, the amplitude is determined to be below a threshold, or, in step S360, the object is determined to be a moving body 110 outside the vehicle, the ECU40 performs a loop process until there are no more sampling points. If there are no more sampling points, the loop process ends (step S370), and it is determined that there is no living organism (step S380). The processing in steps S370 and S80 is the same as that in steps S50 and S60.

[0116] If, in step S360, it is determined that the object is not a moving body 110 outside the vehicle, then the ECU40 determines that a living being exists (step S390). In other words, if the amplitude is greater than a threshold and the object is not a moving body 110 outside the vehicle, it is determined that a living being exists. The processing in step S390 is the same as that in step S70. The other configurations are the same as those described in the aforementioned embodiment.

[0117] <Summary of the Fourth Implementation>

[0118] According to this embodiment, the same effects as those described above can be achieved. For example, even if a time offset on the order of nanoseconds occurs during multiple receptions, i.e., a sampling deviation, the presence or absence of a living organism 100 can still be detected. Therefore, the detection accuracy of living organisms 100 inside the vehicle can be improved.

[0119] When detecting the presence of a living being 100 inside the vehicle, the ECU 40 can calculate the relative velocity of the moving object 110 based on any received signal and determine whether the moving object 110 exists outside the vehicle. By using relative velocity, it is possible to determine whether the living being 100 detected using amplitude is a moving object 110 outside the vehicle. By using relative velocity, interference from pedestrians or adjacent vehicles outside the vehicle can be eliminated, and false detections can be suppressed. In other words, the detection accuracy of the presence or absence of a living being 100 inside the vehicle can be improved.

[0120] An example is shown that combines the detection of a living organism 100 using amplitude and the detection of a moving object 110 outside a vehicle using relative velocity, but this is not a limitation. The detection of a living organism 100 using frequency characteristics and the detection of a moving object 110 outside a vehicle using relative velocity can also be combined. The detection of a living organism 100 using both amplitude and frequency characteristics and the detection of a moving object 110 outside a vehicle using relative velocity can also be combined.

[0121] (Fifth Implementation)

[0122] This embodiment is a variation based on the aforementioned embodiment, and the description of the aforementioned embodiment can be referenced. In the aforementioned embodiment, the biological detection device only has a radar installed inside the vehicle. Alternatively, it may have a radar installed inside the vehicle and a radar installed outside the vehicle.

[0123] Figure 23 An example of radar configuration in the biological detection device of this embodiment is shown. Figure 24 This illustrates the processing performed by the biological detection device, which is also known as the biological detection method. Figure 25 The received waveforms of a pulse from the in-vehicle radar and the external radar are shown.

[0124] like Figure 23 As illustrated, the biometric detection device 20 includes an in-vehicle radar 301 and external radars 302, serving as radar 30. The in-vehicle radar 301 is the radar 30 located inside the vehicle, and the external radars 302 are the radars 30 located outside the vehicle. As an example, in this embodiment, multiple radars 30 also function as a smart entry system. These multiple radars 30 are, for example, UWB radars. Each radar 30 includes one in-vehicle radar 301 and four external radars 302. The in-vehicle radar 301 is used, for example, for engine starting. The external radars 302 are located near the four corners of the vehicle 10. The external radars 302 are used for key unlocking and activating.

[0125] For example, if the doors of vehicle 10 are locked, the biometric detection device 20 will execute... Figure 24The biological detection process is shown. The biological detection device 20 controls the operation of radars 30 (301, 302) to perform transmission and reception processing within a specified period (step S410). The ECU 40 causes the external radar 302 and the internal radar 301 to operate in parallel. For example, the ECU 40 controls the timing of pulse transmission, the time of reception of reflected waves, and the transmission and reception intervals of the internal radar 301 and the external radar 302 to be substantially the same. The processing in steps S410, S420, S430, and S440 is similar to... Figure 14 The processes in steps S10, S20, S30, and S40 are the same. The ECU 40 executes steps S430 and S440 based on the received signal from the in-vehicle radar 301. In step S440, if the amplitude is greater than a threshold, the ECU 40 calculates the change in received intensity caused by the moving body 110 (step S450). Based on the magnitude of the change, the ECU 40 determines whether it is a moving body 110 outside the vehicle (step S460).

[0126] As described above, the bio-detection device 20 includes an in-vehicle radar 301 and an external radar 302. It can eliminate interference from moving objects 110 outside the vehicle based on the difference in reception strength between the in-vehicle radar 301 and the external radar 302. For example, when a pedestrian or adjacent vehicle 110 crosses outside the vehicle, such as... Figure 25 The change in reception strength of the in-vehicle radar 301, indicated by the middle arrow, is relatively small, while the change in reception strength of the external radar 302 is relatively large. Therefore, this difference can be used to determine whether the object is a moving body 110 outside the vehicle. For example, if the change in reception strength of the external radar 302 is greater than that of the in-vehicle radar 301, the ECU 40 determines that it is a moving body 110 outside the vehicle.

[0127] If, in step S440, the amplitude is determined to be below a threshold, or if, in step S460, a moving object 110 outside the vehicle is determined to be present, the ECU 40 performs a loop process until there are no more sampling points. If there are no sampling points, the loop process ends (step S470), and it is determined that there is no living organism (step S480). The processing in steps S470 and S480 is the same as that in steps S50 and S60.

[0128] If it is determined in step S460 that the object is not a moving body 110 outside the vehicle, then the ECU40 determines that a living body is present (step S490). In other words, if the amplitude is greater than the threshold and the object is not a moving body 110 outside the vehicle, it is determined that a living body is present. The processing in step S490 is the same as that in step S70. The other configurations are the same as those described in the aforementioned embodiment.

[0129] <Summary of the Fifth Implementation>

[0130] According to this embodiment, the same effects as those described above can be achieved. For example, even if a time offset on the order of nanoseconds occurs during multiple receptions, i.e., a sampling deviation, the presence or absence of a living organism 100 can still be detected. Therefore, the detection accuracy of living organisms 100 inside the vehicle can be improved.

[0131] Radar 30 may also include an in-vehicle radar 301 and an external radar 302. ECU 40 can also detect the presence or absence of a living being 100 based on the received signals from both the in-vehicle radar 301 and the external radar 302. Compared to the in-vehicle radar 301, the external radar 302 is more susceptible to interference from moving objects 110 outside the vehicle, such as pedestrians or adjacent vehicles. By using the received signals from both the in-vehicle radar 301 and the external radar 302, interference from pedestrians or adjacent vehicles can be eliminated, suppressing false detections. In other words, the detection accuracy of the presence or absence of a living being 100 inside the vehicle can be improved.

[0132] While an example is shown that combines the received signals from the in-vehicle radar 301 and the external radar 302 to detect a moving object 110 outside the vehicle, and the detection of a living being 100 using amplitude, this is not a limitation. It is also possible to combine the received signals from the in-vehicle radar 301 and the external radar 302 to detect a moving object 110 outside the vehicle, and the detection of a living being 100 using frequency characteristics. It is also possible to combine the received signals from the in-vehicle radar 301 and the external radar 302 to detect a moving object 110 outside the vehicle, and the detection of a living being 100 using both amplitude and frequency characteristics.

[0133] (Sixth Implementation Method)

[0134] This embodiment is a variation based on the aforementioned embodiment, and the description of the aforementioned embodiment can be referenced. In the aforementioned embodiment, the biological detection device has only one radar installed in the vehicle. Alternatively, multiple radars installed in the vehicle may be used instead.

[0135] Figure 26 This shows an example of the installation locations of multiple radars in a vehicle. Figure 27 The process performed by the biological detection device of this embodiment is shown, namely, the biological detection method.

[0136] like Figure 26 As illustrated, the bio-detection device 20 includes multiple radars 30 disposed within the vehicle. These radars 30 are, for example, UWB radars. The multiple radars 30 are arranged at predetermined intervals in the longitudinal direction of the vehicle 10. Each radar 30 is mounted on the roof. As an example, in this embodiment, the vehicle 10 is a bus. Three radars 30 are installed in the vehicle 10.

[0137] For example, if the doors of vehicle 10 are locked, the biometric detection device 20 will execute... Figure 27 The biological detection process is shown. ECU 40 first starts loop processing 1 (step S510). The biological detection device 20 sequentially performs loop processing on multiple radars 30. Next, ECU 40 controls the operation of the radars 30 to perform transmit and receive processing within a specified period (step S520). ECU 40 acquires multiple received signals from the radars 30 within the specified period and starts loop processing 2 (step S530). Steps S520, S530, S540, S550, S560, S570, and S580 are related to... Figure 14 The processes shown in steps S10, S20, S30, S40, S50, S60, and S70 are the same. Loop processing 2 (loop 2) is equivalent to the loop processing described in the aforementioned embodiments.

[0138] If step S570 or step S580 is performed on one of the radars 30, then ECU 40 performs the biological detection processing after step S520 on the other radar 30. If the biological detection processing is completed for all radars 30, then ECU 40 ends the loop processing (step S590) and ends the series of processes. The other configurations are the same as those described in the aforementioned embodiment.

[0139] <Summary of the Sixth Implementation>

[0140] According to this embodiment, the same effects as those described above can be achieved. For example, even if a time offset on the order of nanoseconds occurs during multiple receptions, i.e., a sampling deviation, the presence or absence of a living organism 100 can still be detected. Therefore, the detection accuracy of living organisms 100 inside the vehicle can be improved.

[0141] The bio-detection device 20 may also include multiple radars 30 configured within the vehicle. These multiple radars 30 may transmit and receive signals multiple times at different times, and the ECU 40 detects the presence or absence of a living organism 100 based on the received signals from these multiple transmissions and receptions by each radar 30. In the case of a large vehicle 10, such as a bus, it is assumed that multiple radars 30 are installed inside the vehicle to detect the presence or absence of a living organism 100. In this case, if a direct wave passes from one radar 30 directly into another, there is a concern, as mentioned above, that the received signal strength increases, and the changes in received signal strength caused by sampling deviations might mask the changes in the living organism 100. In this embodiment, since the multiple radars 30 transmit and receive signals multiple times at different times, each radar 30 does not receive direct waves from other radars 30. Therefore, the presence or absence of a living organism 100 can be detected within a spacious vehicle, and the reduction in detection accuracy caused by the influence of other radars 30 can be suppressed. For example, the accuracy of child rearing checks can be improved.

[0142] Methods for reducing or eliminating the influence of direct waves from other radars 30 are not limited to Figure 27 The illustrated method for offsetting the transmission and reception timing can also be used. For example, a method that removes the received direct wave based on a predetermined antenna position relationship can also be employed.

[0143] The configuration described in this embodiment can be combined with any of the configurations described in the foregoing embodiments.

[0144] (Other implementation methods)

[0145] The disclosure in this specification and accompanying drawings is not limited to the illustrated embodiments. The disclosure includes the illustrated embodiments and modifications made by those skilled in the art based on these embodiments. For example, the disclosure is not limited to the combination of components and / or elements shown in the embodiments. The disclosure can be implemented in a wide variety of combinations. The disclosure can have additional portions that can be added to the embodiments. The disclosure includes embodiments with components and / or elements omitted. The disclosure includes substitutions or combinations of components and / or elements between one embodiment and other embodiments. The scope of the disclosure is not limited to the description of the embodiments. Some scopes of the disclosure should be understood as shown by the description of the technical solution and include all modifications within the same meaning and scope as the description of the technical solution.

[0146] The disclosures in the specification and accompanying drawings are not limited to the description of the technical solution. The disclosures in the specification and accompanying drawings include the technical ideas described in the technical solution, and involve more diverse and broader technical ideas than those described in the technical solution. Therefore, it is possible to extract diverse technical ideas from the disclosures in the specification and accompanying drawings without being limited by the description of the technical solution.

[0147] When referring to an element or layer as "above," "connected," "linked," or "combined," it indicates either that it is directly above, connected to, or combined with other elements or layers, and that there may be intermediate elements or layers. Conversely, when referring to an element as "directly above," "directly connected to," "directly linked to," or "directly combined" with other elements or layers, there are no intermediate elements or layers. Other terms used to describe the relationships between elements should be interpreted in the same way (e.g., "between" and "directly between," "adjacent" and "directly adjacent," etc.). In the context of this specification, "and / or" includes any combination, and all combinations, relating to one or more of the related listed items. In other words, the reference to A and / or B refers to at least one of A and B.

[0148] To facilitate the description of the relationship between an element or feature and other elements or features as illustrated in the diagram, this document utilizes spatially relative terms such as "inner," "outer," "back," "lower," "lower," "upper," and "higher." These spatially relative terms can encompass different orientations of the device in use or operation, in addition to the orientations depicted in the diagrams. For example, if the device in the diagram is flipped, the element described as "lower" or "directly lower" faces the element described as "upper." Therefore, the term "lower" can encompass both upper and lower orientations. The device may also face other orientations (or be rotated 90 degrees or other orientations), and the spatially relative descriptors used in this specification are interpreted accordingly.

[0149] Processor 41 can employ CPU, MPU, GPU, DFP, etc. CPU stands for Central Processing Unit. MPU stands for Micro-Processing Unit. GPU stands for Graphics Processing Unit. DFP stands for Data Flow Processor.

[0150] The functions of processor 41 can also be partially or fully implemented by combining multiple types of computing devices. Alternatively, SoC, ASIC, FPGA, etc., can be used to implement some or all of the functions of processor 41. SoC stands for System on Chip. ASIC stands for Application Specific Integrated Circuit. FPGA stands for Field-Programmable Gate Array. Hardware logic circuits can also be used to implement some or all of the functions of processor 41.

[0151] Programs can also be stored as instructions executed by a computer on a non-transitory tangible storage medium that the computer can read. Media for storing programs include HDDs, SSDs, and flash memory. HDD stands for Hard-disk Drive. SSD stands for Solid State Drive.

[0152] In the above embodiments, an example of detecting the presence or absence of living organisms using the intensity obtained from the IQ signal is shown, but it is not limited to this. For example, the presence or absence of living organisms can also be detected using the IQ signal itself, or using the phase obtained from the IQ signal. The phase, for example, corresponds to the output value of the arctangent of the input value, which is the ratio of the Q (Quadrature-Phase) component of the received signal to the I (In-Phase) component. The magnitude of the I component corresponds to the intensity of the in-phase component of the received signal. The magnitude of the Q component corresponds to the intensity of the quadrature component of the received signal. The I component can be obtained by multiplying the received signal by the carrier wave output by the local oscillator. In addition, the Q component can be obtained by multiplying the received signal by a signal whose phase is shifted by 90° from the output signal of the local oscillator. Furthermore, the presence or absence of living organisms can be detected using only the I component of the IQ signal, or only the Q component.

[0153] (The disclosure of technical ideas)

[0154] This specification discloses several technical ideas described in the following list. Some items are described by selectively referencing the aforementioned items in a multiple dependent form in subsequent items. Furthermore, some items are described by referring to another multiple dependent form. These items described in multiple dependent forms define multiple technical ideas.

[0155] <Technical Concept 1> A biological detection device: comprising:

[0156] At least one radar (30), mounted on a vehicle (10), transmits pulse waves of a predetermined frequency and receives reflected waves of the pulse waves; and

[0157] The detection unit (40) detects whether there are any living organisms inside the vehicle based on the received signals from the aforementioned radar.

[0158] The aforementioned radar performs multiple transmissions and receptions at specified intervals.

[0159] The reception time of the reflected wave is longer than the time corresponding to the distance from the radar to the farthest point at the end of the vehicle.

[0160] The aforementioned detection unit detects the presence or absence of the aforementioned organism based on the received signals from multiple transmissions and receptions.

[0161] <Technical Concept 2> Based on the biological detection device described in Technical Concept 1, wherein,

[0162] The aforementioned detection unit detects the presence or absence of the aforementioned organism based on the time variation of the received signals received multiple times.

[0163] <Technical Concept 3> A biological detection device according to Technical Concept 1 or Technical Concept 2, wherein,

[0164] The detection unit detects the presence or absence of the organism based on the frequency characteristics of the received signals received multiple times.

[0165] <Technical Concept 4> Based on the biological detection device described in Technical Concept 2, wherein,

[0166] After detecting the presence or absence of the organism based on the aforementioned time variation, the detection unit further detects the presence or absence of the organism based on the frequency characteristics of the received signals received multiple times.

[0167] <Technical Idea 5> A biological detection device according to any one of Technical Ideas 1 to 4, wherein,

[0168] The detection unit calculates the relative speed of the moving object based on any of the received signals to determine whether the moving object exists outside the vehicle.

[0169] <Technical Idea 6> A biological detection device according to any one of Technical Ideas 1 to 4, wherein,

[0170] The aforementioned radar includes an in-vehicle radar (301) installed inside the vehicle and an external radar (302) installed outside the vehicle.

[0171] The aforementioned detection unit detects the presence or absence of the aforementioned organism based on the received signals from the in-vehicle radar and the received signals from the external radar.

[0172] <Technical Idea 7> A biological detection device according to any one of Technical Ideas 1 to 6, wherein,

[0173] The vehicle is equipped with multiple of the aforementioned radars located inside the vehicle.

[0174] Multiple radars, as described above, transmit and receive data multiple times at different timings.

[0175] The aforementioned detection unit detects the presence or absence of the aforementioned organisms based on the received signals from multiple transmissions and receptions of each radar.

[0176] <Technical Idea 8> A biological detection device according to any one of Technical Ideas 1 to 7, wherein,

[0177] The radar mentioned above is a UWB radar.

Claims

1. A biological detection device, comprising: At least one radar (30), mounted on a vehicle (10), transmits pulse waves of a predetermined frequency and receives reflected waves of the pulse waves; and The detection unit (40) detects whether there are any living organisms inside the vehicle based on the received signals from the aforementioned radar. The aforementioned radar performs multiple transmissions and receptions at specified intervals. The reception time of the reflected wave is longer than the time corresponding to the distance from the radar to the farthest point at the end of the vehicle. The aforementioned detection unit detects the presence or absence of the aforementioned organism based on the received signals from multiple transmissions and receptions.

2. The biological detection device according to claim 1, wherein, The aforementioned detection unit detects the presence or absence of the aforementioned organism based on the time variation of the received signals received multiple times.

3. The biological detection device according to claim 1, wherein, The detection unit detects the presence or absence of the organism based on the frequency characteristics of the received signals received multiple times.

4. The biological detection device according to claim 2, wherein, After detecting the presence or absence of the organism based on the aforementioned time variation, the detection unit further detects the presence or absence of the organism based on the frequency characteristics of the received signals received multiple times.

5. The biological detection device according to any one of claims 1 to 4, wherein, The detection unit calculates the relative speed of the moving object based on any of the received signals to determine whether the moving object exists outside the vehicle.

6. The biological detection device according to any one of claims 1 to 4, wherein, The aforementioned radar includes an in-vehicle radar (301) installed inside the vehicle and an external radar (302) installed outside the vehicle. The aforementioned detection unit detects the presence or absence of the aforementioned organism based on the received signals from the in-vehicle radar and the received signals from the external radar.

7. The biological detection device according to any one of claims 1 to 4, wherein, The vehicle is equipped with multiple of the aforementioned radars located inside the vehicle. Multiple radars, as described above, transmit and receive data multiple times at different timings. The aforementioned detection unit detects the presence or absence of the aforementioned organisms based on the received signals from multiple transmissions and receptions of each radar.

8. The biological detection device according to any one of claims 1 to 4, wherein, The radar mentioned above is a UWB radar.

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