Detection method for occupying seat by passenger, intelligent cabin, vehicle, medium and product

Abstract

The invention discloses a method for detecting seat occupancy of passengers, an intelligent cabin, a vehicle, a medium and a product, and relates to the technical field of vehicles, the method for detecting seat occupancy of passengers is applied to the intelligent cabin, and a plurality of ultra-wideband radar detection devices are configured in the intelligent cabin. The method specifically comprises the following steps: detecting a plurality of detection targets in the intelligent cabin through a plurality of ultra wide band radar detection devices to determine target passengers; multiple preset seat areas corresponding to the target passenger are determined, and whether the multiple preset seat areas are the same seat overlapping areas or not is judged; if it is judged that the multiple preset seat areas are the same seat overlapping area, it is determined that the passenger occupies the seat according to the radar detection parameters corresponding to the target passenger. By adopting the method and the device, the intelligent cabin can accurately identify whether the vehicle seat is occupied by the target passenger with the organism characteristics or not, and the vehicle seat occupied by the target passenger can be determined.

Description

Technical Field

[0001] This application relates to the field of vehicle technology, and in particular to a method for detecting occupant seat occupancy, a smart cockpit, a vehicle, a storage medium, and a computer program product. Background Technology

[0002] With the continuous development of the automotive industry, more and more vehicles are equipped with seat occupancy detection functions, and these functions control the automatic operation of various functional modules within the vehicle to improve the riding experience for passengers.

[0003] In related technologies, technicians typically install seat pressure sensors in vehicles to determine the occupancy of seats. However, seat pressure sensors can usually only identify pressure changes on the seat, but cannot determine whether the source of the pressure changes is an occupant with biological characteristics.

[0004] Thus, when an object without biological characteristics is placed on the seat, the seat pressure sensor can still detect changes in pressure on the seat, causing the vehicle to identify an incorrect occupant occupying the seat, which in turn causes the vehicle to activate the wrong functional modules, greatly reducing the passenger's riding experience. Summary of the Invention

[0005] The main objective of this application is to provide a method for detecting occupant seat occupancy, a smart cockpit, a vehicle, a storage medium, and a computer program product, aiming to solve the technical problem in the related art that vehicles can easily identify incorrect occupant seat occupancy.

[0006] To achieve the above objectives, this application proposes a method for detecting occupant seat occupancy. This method is applied to a smart cockpit equipped with multiple ultra-wideband radar detection devices. The method includes:

[0007] Multiple ultra-wideband radar detection devices are used to detect multiple targets within the smart cockpit to identify target occupants;

[0008] Determine multiple preset seat areas corresponding to the target occupant, and determine whether the multiple preset seat areas are the same overlapping seat areas;

[0009] If multiple preset seat areas are determined to be the same overlapping seat area, the seat occupied by the occupant is determined according to the radar detection parameters corresponding to the target occupant.

[0010] In one embodiment, the step of detecting multiple targets within the smart cockpit using multiple ultra-wideband radar detection devices to determine the target occupant includes:

[0011] Multiple detection radar signals are emitted to multiple detection targets within the intelligent cockpit using multiple ultra-wideband radar detection devices.

[0012] The system receives the reflected radar signals corresponding to each of the multiple detection radar signals through multiple ultra-wideband radar detection devices, wherein the reflected radar signals are the reflected signals formed after the detection radar signals come into contact with the detection target;

[0013] The target occupants are determined based on the reflected radar signals described above.

[0014] In one embodiment, the step of determining the target occupant based on each of the reflected radar signals includes:

[0015] Identify the live radar signals present in each of the aforementioned reflected radar signals, wherein the live radar signals are reflected radar signals whose radar signal characteristics change;

[0016] The detection target corresponding to the live radar signal is identified as the target occupant.

[0017] In one embodiment, the step of determining the plurality of preset seat areas corresponding to the target occupant includes:

[0018] Determine the radar detection parameters corresponding to the target occupant, and determine the occupant position detection results corresponding to each of the multiple ultra-wideband radar detection devices based on the radar detection parameters;

[0019] Based on the occupant position detection results, multiple preset seat areas corresponding to the target occupant are determined, wherein the preset seat areas include multiple seat determination areas and multiple seat overlap areas.

[0020] In one embodiment, the step of determining the seat occupied by the occupant based on the radar detection parameters corresponding to the target occupant includes:

[0021] Read the echo signal power value contained in each radar detection parameter, and determine the first comparison result based on each echo signal power value;

[0022] If it is determined that the first comparison result shows that there are differences in the power values ​​of each echo signal, a target echo signal power value is determined among the power values ​​of each echo signal, wherein the target echo signal power value is the echo signal power value with the largest value.

[0023] Based on the target echo signal power value, multiple preset vehicle seats within the seat overlap area are screened to determine the seat occupied by the occupant.

[0024] In one embodiment, the step of determining the first comparison result based on the power values ​​of each of the echo signals includes:

[0025] Determine the power difference between the echo signal power values.

[0026] Determine a preset signal difference threshold and determine whether the echo signal power difference reaches the preset signal difference threshold;

[0027] If it is determined that the power difference of the echo signal reaches the preset signal difference threshold, then the first comparison result is determined to be that there is a difference in the power values ​​of each echo signal;

[0028] If it is determined that the power difference of the echo signal does not reach the preset signal difference threshold, then the first comparison result is determined to be that there is no difference in the power values ​​of each echo signal.

[0029] In one embodiment, after the step of determining the first comparison result based on the power values ​​of each of the echo signals, the method further includes:

[0030] If the first comparison result shows that there is no difference in the power values ​​of each echo signal, the displacement direction of the biological characteristics corresponding to the target occupant is determined based on each of the radar detection parameters.

[0031] The occupant's seat is determined based on the displacement direction of the biological characteristics.

[0032] In one embodiment, the step of determining the occupant's seat occupancy based on the displacement direction of the biological characteristics includes:

[0033] Determine the cockpit partition line corresponding to the intelligent cockpit, and determine the target angle difference between the biological feature displacement direction and the cockpit partition line;

[0034] A preset angle difference threshold is determined, and the target angle difference is compared with the preset angle difference threshold to obtain a second comparison result;

[0035] If the second comparison result indicates that the target angle difference reaches the preset angle difference threshold, the front vehicle seat in the seat overlap area is determined to be an occupant seat.

[0036] If the second comparison result indicates that the target angle difference does not reach the preset angle difference threshold, the rear vehicle seats within the seat overlap area are determined to be occupied by occupants.

[0037] In one embodiment, the step of determining the cockpit partition line corresponding to the smart cockpit includes:

[0038] Determine the radar deployment location and detection angle parameters for each of the multiple ultra-wideband radar detection devices;

[0039] The cockpit dividing line corresponding to the smart cockpit is determined based on the deployment location of each radar and the detection angle parameters of each radar.

[0040] In one embodiment, prior to the step of detecting multiple targets within the smart cockpit using multiple ultra-wideband radar detection devices to determine the target occupant, the method further includes:

[0041] Determine the seat movement range corresponding to each of the multiple preset vehicle seats within the intelligent cockpit;

[0042] The overlapping area and the defined area of ​​each seat in the smart cockpit are determined based on the range of movement of each seat.

[0043] In addition, to achieve the above objectives, this application also proposes an intelligent cockpit, which includes: multiple ultra-wideband radar detection devices, a memory, a processor, and a computer program stored in the memory and executable on the processor, the computer program being configured to implement the steps of the occupant occupancy detection method as described above.

[0044] In addition, to achieve the above objectives, this application also proposes a vehicle that includes the intelligent cockpit as described above.

[0045] In addition, to achieve the above objectives, this application also proposes a storage medium, which is a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, it implements the steps of the occupant occupancy detection method described above.

[0046] In addition, to achieve the above objectives, this application also provides a computer program product, which includes a computer program that, when executed by a processor, implements the steps of the occupant seat occupancy detection method described above.

[0047] The occupant seat detection method provided in this application is applied to a smart cockpit. The smart cockpit is equipped with multiple ultra-wideband radar detection devices. The multiple ultra-wideband radar detection devices detect multiple targets in the smart cockpit to identify target occupants; determine multiple preset seat areas corresponding to the target occupants, and determine whether the multiple preset seat areas are the same overlapping seat areas; if the multiple preset seat areas are determined to be the same overlapping seat areas, then determine the occupant seat based on the radar detection parameters corresponding to the target occupant.

[0048] In this embodiment, the intelligent cockpit first invokes multiple ultra-wideband radar detection devices configured within it to detect the interior of the intelligent cockpit, thereby identifying target occupants with biological signs among multiple detected targets. Then, the intelligent cockpit determines multiple preset seat areas corresponding to the target occupants and judges whether the multiple preset seat areas are the same seat overlap area. Finally, if the intelligent cockpit determines that multiple preset seat areas are all the same seat overlap area, it reads the radar detection parameters obtained by the multiple ultra-wideband radar detection devices when detecting the target occupants, and filters multiple preset vehicle seats in the seat overlap area according to the radar detection parameters to determine the seat occupied by the occupant.

[0049] Thus, this application solves the technical problem in related technologies where vehicles easily identify incorrect occupant seat occupancy. Specifically, this application uses multiple ultra-wideband radar detection devices to detect the smart cockpit, thereby identifying target occupants with biological characteristics within the vehicle. It further identifies the preset seat area where the target occupant is located when the multiple ultra-wideband radar devices detect the target occupant. When multiple preset seat areas are determined to be the same overlapping area, the vehicle seat occupied by the target occupant is determined based on the radar detection parameters obtained by the ultra-wideband radar detection devices. This avoids the situation where the smart cockpit misidentifies a seat with non-biological characteristics as occupied by an occupant when such items are placed on it. This allows the smart cockpit to accurately identify whether a vehicle seat is occupied by a target occupant with biological characteristics and to determine the seat occupied by the target occupant, ensuring that the vehicle can activate the correct functional modules based on seat occupancy and guaranteeing the occupant's riding experience. Attached Figure Description

[0050] The accompanying drawings, which are incorporated in and form part of this specification, illustrate embodiments consistent with this application and, together with the description, serve to explain the principles of this application.

[0051] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, for those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0052] Figure 1 A flowchart illustrating an embodiment of the method for detecting occupant seat occupancy in this application;

[0053] Figure 2 This is a schematic diagram of the cabin area division involved in an embodiment of the method for detecting occupant seat occupancy in this application;

[0054] Figure 3This is a radial schematic diagram of the radar equipment involved in an embodiment of the method for detecting occupant seat occupancy in this application;

[0055] Figure 4 This is a schematic diagram of the detection results of the overlapping area involved in an embodiment of the method for detecting occupant seat occupancy in this application;

[0056] Figure 5 This is a schematic diagram of the radar detection area of ​​UWB radar device A, which is involved in an embodiment of the method for detecting occupant seat occupancy in this application.

[0057] Figure 6 This is a schematic diagram of the radar detection area of ​​the UWB radar device B involved in an embodiment of the method for detecting occupant seat occupancy in this application.

[0058] Figure 7 This is a simplified flowchart illustrating the detection method for occupant seat occupancy in this application;

[0059] Figure 8 This is a schematic diagram of a first scenario involving an embodiment of the method for detecting occupant seat occupancy in this application;

[0060] Figure 9 This is a schematic diagram of a second scenario involving an embodiment of the method for detecting occupant seat occupancy in this application;

[0061] Figure 10 This is a schematic diagram of a third scenario involving an embodiment of the method for detecting occupant seat occupancy in this application;

[0062] Figure 11 This is a schematic diagram of a fourth scenario in one embodiment of the method for detecting occupant seat occupancy in this application;

[0063] Figure 12 This is a schematic diagram of the equipment structure of the hardware operating environment involved in the detection method for occupant seat occupation in this application.

[0064] The purpose, features, and advantages of this application will be further explained in conjunction with the embodiments and with reference to the accompanying drawings. Detailed Implementation

[0065] It should be understood that the specific embodiments described herein are merely illustrative of the technical solutions of this application and are not intended to limit this application.

[0066] To better understand the technical solution of this application, a detailed description will be provided below in conjunction with the accompanying drawings and specific implementation methods.

[0067] In this embodiment, for ease of description, the following description will focus on a smart cockpit with two UWB (Ultra Wide Band) radar devices, or a mobile terminal, data storage control terminal, PC, or other terminal connected to the electronic control unit of the smart cockpit.

[0068] Based on the aforementioned intelligent cockpit, this application presents the overall concept of the method for detecting occupant seat occupancy.

[0069] With the continuous development of the automotive industry, more and more vehicles are equipped with seat occupancy detection functions. These functions control the automatic operation of various vehicle modules to improve the passenger experience. In related technologies, technicians typically install seat pressure sensors in vehicles to determine seat occupancy. However, these sensors usually only detect pressure changes on the seat and cannot determine whether the source of the pressure changes is a biological occupant. Therefore, even when non-biological objects are placed on the seat, the pressure sensors can still detect pressure changes, leading the vehicle to incorrectly identify seat occupancy and activate incorrect functional modules, significantly reducing the passenger experience.

[0070] To address the above issues, this application provides a method for detecting seat occupancy. This method is applied to a smart cockpit equipped with multiple ultra-wideband radar detection devices. The method includes: detecting multiple targets within the smart cockpit using the multiple ultra-wideband radar detection devices to identify a target occupant; determining multiple preset seat areas corresponding to the target occupant and judging whether these preset seat areas are identical overlapping areas; if multiple preset seat areas are determined to be identical overlapping areas, then determining seat occupancy based on the radar detection parameters corresponding to the target occupant.

[0071] Thus, this application solves the technical problem in related technologies where vehicles easily identify incorrect occupant seat occupancy. Specifically, this application uses multiple ultra-wideband radar detection devices to detect the smart cockpit, thereby identifying target occupants with biological characteristics within the vehicle. It further identifies the preset seat area where the target occupant is located when the multiple ultra-wideband radar devices detect the target occupant. When multiple preset seat areas are determined to be the same overlapping area, the vehicle seat occupied by the target occupant is determined based on the radar detection parameters obtained by the ultra-wideband radar detection devices. This avoids the situation where the smart cockpit misidentifies a seat with non-biological characteristics as occupied by an occupant when such items are placed on it. This allows the smart cockpit to accurately identify whether a vehicle seat is occupied by a target occupant with biological characteristics and to determine the seat occupied by the target occupant, ensuring that the vehicle can activate the correct functional modules based on seat occupancy and guaranteeing the occupant's riding experience.

[0072] Based on the overall concept of the occupant seat occupancy detection method of this application, the embodiments of this application provide a method for detecting occupant seat occupancy, referring to... Figure 1 , Figure 1 This is a flowchart illustrating the first embodiment of the method for detecting occupant seat occupancy in this application.

[0073] In this embodiment, the method for detecting occupant seat occupancy is applied to a smart cockpit, which is equipped with multiple ultra-wideband radar detection devices. The method for detecting occupant seat occupancy includes steps S10 to S30:

[0074] Step S10: Detect multiple targets within the smart cockpit using multiple ultra-wideband radar detection devices to determine the target occupants;

[0075] It should be noted that the ultra-wideband radar detection equipment can specifically be a UWB radar device, and the quantity of this ultra-wideband radar detection equipment is 2. Please refer to... Figure 2 , Figure 2 This is a schematic diagram of the cabin area division involved in one embodiment of the method for detecting occupant seat occupancy in this application, as shown below. Figure 2 As shown, UWB radar device A is deployed at the front of the smart cockpit, and UWB radar device B is deployed at the rear of the smart cockpit. It is understood that this UWB radar device needs to support a 4x4 MIMO (Multiple Input Multiple Output) antenna array to ensure that the UWB radar device can have two scanning areas in the radial and two in the tangential directions, thus forming a total of four scanning areas. Furthermore, it is understood that... (Please refer to...) Figure 2 and Figure 3 ,in, Figure 3This is a radial schematic diagram of the radar equipment involved in an embodiment of the occupant seat occupancy detection method of this application, as shown below. Figure 2 and Figure 3 As shown, the radar radial directions of multiple UWB radar devices should be on the same horizontal line.

[0076] In this embodiment, the smart cockpit first calls two ultra-wideband radar detection devices configured in the cockpit to scan the interior of the cockpit, thereby screening the various detection targets contained in the cockpit to identify target occupants with biological characteristics in the cockpit.

[0077] For example, during vehicle operation, the smart cockpit first controls the UWB radar device A located at the front of the cockpit and the UWB radar device B located at the rear of the cockpit, so that UWB radar device A and UWB radar device B simultaneously scan the cockpit to screen various detection targets contained in the cockpit, thereby identifying target occupants with biological characteristics.

[0078] In this way, the intelligent cockpit can scan the cockpit using multiple ultra-wideband radar detection devices installed inside the cockpit, thereby identifying target occupants with biological characteristics among the multiple detected targets, and then determining the occupant seat occupied by the target occupant in the cockpit.

[0079] In one feasible implementation, step S10 may specifically include steps S101 to S103:

[0080] Step S101: Employ multiple detection radar signals to multiple targets within the smart cockpit using multiple ultra-wideband radar detection devices;

[0081] Step S102: Receive the reflection radar signals corresponding to each of the multiple detection radar signals through multiple ultra-wideband radar detection devices, wherein the reflection radar signal is the reflection signal formed after the detection radar signal comes into contact with the detection target;

[0082] Step S103: Determine the target occupants based on the reflected radar signals.

[0083] In this embodiment, the smart cockpit first controls the operation of two ultra-wideband radar detection devices configured within the cockpit, causing each device to transmit multiple detection radar signals into the cockpit. Subsequently, when these multiple detection radar signals come into contact with a detection target within the cockpit, they are reflected and form corresponding reflected radar signals. The smart cockpit then controls the two ultra-wideband radar detection devices to receive the reflected radar signals corresponding to their respective transmitted detection radar signals. Finally, the smart cockpit processes the acquired multiple reflected radar signals to identify a target occupant with biological characteristics among the multiple detection targets contained within the cockpit.

[0084] For example, such as Figure 2 As shown, the intelligent cockpit first controls UWB radar device A, located at the front of the cockpit, and UWB radar device B, located at the rear of the cockpit. UWB radar device A emits multiple first detection radar signals into the cockpit, and UWB radar device B emits multiple second detection radar signals into the cockpit. Subsequently, each of the multiple first and second detection radar signals reflects upon contact with an object within the cockpit, forming a first reflected radar signal corresponding to the first detection radar signal and a second reflected radar signal corresponding to the second detection radar signal. The intelligent cockpit then controls UWB radar device A to receive the multiple first reflected radar signals corresponding to the multiple first detection radar signals, and controls UWB radar device B to receive the multiple second reflected radar signals corresponding to the multiple second detection radar signals. Finally, the intelligent cockpit processes the multiple first and second reflected radar signals to filter multiple detection targets within the cockpit, thereby identifying the occupant with biological characteristics among the multiple detection targets.

[0085] In this way, the intelligent cockpit can scan the cockpit using multiple ultra-wideband radar detection devices installed inside the cockpit, thereby identifying target occupants with biological characteristics among the multiple detected targets, and then determining the occupant seat occupied by the target occupant in the cockpit.

[0086] In one feasible implementation, step S103 may specifically include steps S1031 to S1032:

[0087] Step S1031: Determine the live radar signal present in each of the reflected radar signals, wherein the live radar signal is a reflected radar signal whose radar signal characteristics change;

[0088] Step S1032: Identify the detection target corresponding to the live radar signal as the target occupant.

[0089] In this embodiment, after receiving multiple reflected radar signals, the intelligent cockpit first extracts the radar signal features corresponding to each of the multiple reflected radar signals, and compares the radar signal features corresponding to each of the multiple reflected radar signals to determine whether there are any changes in the radar signal features. Then, the intelligent cockpit identifies the reflected radar signals whose radar signal features have changed among the multiple reflected radar signals, and identifies the reflected radar signals whose radar signal features have changed as live radar signals. Finally, the intelligent cockpit identifies the detection target corresponding to the live radar signal in the cockpit, and identifies the detection target corresponding to the live radar signal in the cockpit as the target occupant.

[0090] For example, after obtaining multiple first reflection radar signals and multiple second reflection radar signals, the intelligent cockpit first extracts multiple radar signal features corresponding to each of the multiple first reflection radar signals and multiple second reflection radar signals, and compares the multiple radar signal features corresponding to each of the multiple first reflection radar signals and multiple second reflection radar signals to obtain multiple comparison results. The intelligent cockpit reads the multiple comparison results to determine the first reflection radar signals and second reflection radar signals whose radar signal features have changed. The intelligent cockpit then determines the first reflection radar signals and second reflection radar signals whose radar signal features have changed as live radar signals. Finally, the intelligent cockpit determines the detection target corresponding to the live radar signal and determines the detection target corresponding to the live radar signal as the target occupant present in the cockpit.

[0091] It should be noted that when a target occupant performs actions with biological characteristics such as breathing, parts of their body will change with breathing and heartbeat, which will cause the radar detection signal to generate different reflected radar signals during the reflection process. This allows the smart cockpit to determine whether the detected target is a target occupant with biological characteristics based on the reflected radar signals.

[0092] In this way, the intelligent cockpit can scan the cockpit using multiple ultra-wideband radar detection devices installed inside the cockpit, thereby identifying target occupants with biological characteristics among the multiple detected targets, and then determining the occupant seat occupied by the target occupant in the cockpit.

[0093] Step S20: Determine multiple preset seat areas corresponding to the target occupant, and determine whether the multiple preset seat areas are the same overlapping seat areas;

[0094] It should be noted that the preset seating area corresponds to the seating area of ​​each preset seat in the cabin, for example, as Figure 2 As shown, when there are a driver's seat, a front passenger seat, a rear seat behind the driver's seat, and a rear seat behind the front passenger seat in the cabin, the cabin can be divided into Area-1, which can detect the target occupant's location in the driver's seat; Area-2, which can detect the target occupant's location in the front passenger seat; Area-3, which can detect the target occupant's location in the rear seat behind the driver's seat; Area-4, which can detect the target occupant's location in the rear seat behind the front passenger seat; and Area 1, which can detect the target occupant's location in either the driver's seat or the rear seat behind the driver's seat; and Area 2, which can detect the target occupant's location in either the front passenger seat or the rear seat behind the front passenger seat.

[0095] In this embodiment, after determining the presence of a target occupant in the cockpit, the intelligent cockpit further determines the preset seat area corresponding to the target occupant in the cockpit when each of the two ultra-wideband radar detection devices detects the target occupant, and determines whether the two preset seat areas obtained by the two ultra-wideband radar detection devices are the same seat overlap area.

[0096] For example, after determining the presence of a target occupant in the cockpit, the smart cockpit further accesses UWB radar A and UWB radar B respectively to determine the first preset seat area corresponding to the target occupant in the cockpit when UWB radar device A detects the target occupant. At the same time, the smart cockpit determines the second preset seat area corresponding to the target occupant in the cockpit when UWB radar device B detects the target occupant. The smart cockpit then determines whether the first preset seat area and the second preset seat area are the same seat overlap area.

[0097] In this way, the intelligent cockpit can determine the preset seat area corresponding to the target occupant in the cockpit based on multiple ultra-wideband radar detection devices, and determine whether multiple ultra-wideband radar detection devices have detected that the target occupant is in the same seat overlap area.

[0098] In one feasible implementation, the step of "determining the multiple preset seat areas corresponding to the target occupant" in step S20 above may specifically include steps S201 to S202:

[0099] Step S201: Determine the radar detection parameters corresponding to the target occupant, and determine the occupant position detection results corresponding to each of the multiple ultra-wideband radar detection devices based on the radar detection parameters;

[0100] Step S202: Based on the occupant position detection results, determine multiple preset seat areas corresponding to the target occupant, wherein the preset seat areas include multiple seat determination areas and multiple seat overlap areas.

[0101] It should be noted that the radar detection parameters are detection parameters that can reflect the positional relationship between the target occupant and the ultra-wideband radar detection equipment. Specifically, they may include the radial angle parameter formed between the radial directions of the target occupant and the ultra-wideband radar detection equipment, and the tangential angle parameter formed between the tangential directions of the target occupant and the ultra-wideband radar detection equipment.

[0102] Furthermore, the occupant position detection result indicates the location of the target occupant within the radar detection range of the ultra-wideband radar when the target occupant is detected. For example, please refer to... Figure 5 and Figure 6 ,in, Figure 5This is a schematic diagram of the radar detection area of ​​UWB radar device A, which is involved in one embodiment of the method for detecting occupant seat occupancy according to this application. Figure 6 This is a schematic diagram of the radar detection area of ​​the UWB radar device B involved in an embodiment of the occupant seat occupancy detection method of this application, as shown below. Figure 5 As shown, when the target occupant is in the preset seat area 4 within the cabin, if the preset seat area 4 corresponds to the first radar detection area within the radar detection range of the UWB radar device A, then the occupant position detection result obtained by the UWB radar device A is the first radar detection area. It can be understood that when determining the radar detection range of the UWB radar device A, the radar detection range can be divided to obtain multiple radar detection areas. Similarly, as... Figure 6 As shown, if the preset seat area 4 corresponds to the third radar detection area within the radar detection range of the UWB radar device B, then the occupant position detection result obtained by the UWB radar device B is the third radar detection area.

[0103] Furthermore, the seat overlap area detection is based on the results of a single UWB radar device and cannot determine the seat area occupied by the target occupant. For example, when the target occupant adjusts the front passenger seat backward, their position will be in the center of the cabin. In this case, the detection result based on a single UWB radar device cannot accurately determine whether the target occupant is in the front passenger seat or the seat behind the front passenger seat. Similarly, the seat determination area can accurately determine the seat area occupied by the target occupant. For example, when the target occupant adjusts the front passenger seat forward, their position will be in the front of the cabin. In this case, the detection result based on a single UWB radar device can accurately determine that the target occupant is in the front passenger seat.

[0104] In this embodiment, after determining the presence of a target occupant within the cockpit, the intelligent cockpit further reads the radar detection data acquired by each ultra-wideband radar detection device when detecting the target occupant. The intelligent cockpit then determines the occupant position detection results obtained by each of the two ultra-wideband radar detection devices when detecting the target occupant based on the radar detection data. Finally, the intelligent cockpit determines the preset seat area corresponding to the target occupant within the cockpit based on the occupant position detection results, and determines whether the preset seat area is a seat determination area or a seat overlap area.

[0105] For example, after determining the presence of a target occupant within the cockpit, the smart cockpit further invokes UWB radar device A and UWB radar device B to detect the target occupant, thereby determining the first radar detection parameters obtained by UWB radar device A when detecting the target occupant, and the second radar detection parameters obtained by UWB radar device B when detecting the target occupant. The smart cockpit then determines the first radar radial angle parameter θ1 formed by the radial direction between the target occupant and UWB radar device A, and the first radar tangential angle parameter formed by the tangential direction between the target occupant and UWB radar device A, which are included in the first radar detection parameters. The intelligent cockpit then uses the first radar radial angle parameter θ1 and the first radar tangential angle parameter... Determine the first positional relationship between the target occupant and UWB radar device A, and determine the first radar detection area of ​​the target occupant within the first radar detection range corresponding to UWB radar device A based on the first positional relationship, thereby determining the first radar detection area as the position detection result of the first occupant corresponding to UWB radar device A;

[0106] Simultaneously, the intelligent cockpit determines the second radar radial angle parameter θ2 formed between the radial direction of the target occupant and the UWB radar device B, and the second radar tangential angle parameter formed between the tangential direction of the target occupant and the UWB radar device B, which are included in the second radar detection parameters. The intelligent cockpit then measures the radial angle parameter θ2 of the second radar and the tangential angle parameter of the second radar. Calculations are performed to obtain the second positional relationship between the target occupant and the UWB radar device B. Based on the second positional relationship, the third radar detection area of ​​the target occupant within the second radar detection range corresponding to the UWB radar device B is determined, thereby defining the third radar detection area as the second occupant position detection result corresponding to the UWB radar device B.

[0107] Subsequently, the intelligent cockpit determines that the preset seat area corresponding to the first occupant's position detection result in the cockpit is the seat overlap area 2, and also determines that the preset seat area corresponding to the second occupant's position detection result in the cockpit is the seat overlap area 2.

[0108] In this way, the intelligent cockpit can determine the preset seat area corresponding to the target occupant in the cockpit based on multiple ultra-wideband radar detection devices, and determine whether multiple ultra-wideband radar detection devices have detected that the target occupant is in the same seat overlap area.

[0109] Step S30: If it is determined that multiple preset seat areas are the same seat overlap area, then the seat occupied by the occupant is determined according to the radar detection parameters corresponding to the target occupant;

[0110] In this embodiment, if the smart cockpit determines that multiple preset seat areas corresponding to the target occupant are the same seat overlap area, it further reads the radar detection parameters corresponding to the target occupant and filters the multiple preset vehicle seats contained in the seat overlap area according to the radar detection parameters to determine the seat occupied by the occupant.

[0111] For example, please refer to Figure 4 , Figure 4 This is a schematic diagram illustrating the detection results of the overlapping area in one embodiment of the method for detecting occupant seat occupancy according to this application. Figure 4 As shown, if the smart cockpit determines that both UWB radar device A and UWB radar device B have detected that the preset seat area where the target occupant is located is seat overlap area 2, it will further read the detection parameters of each radar and filter the front passenger seat and the rear front passenger seat included in seat overlap area 2 according to the detection parameters of each radar to determine the seat occupied by the target occupant.

[0112] In this way, when multiple ultra-wideband radar detection devices simultaneously detect that the target occupant is in the same seat overlap area, the intelligent cockpit can further determine the seat occupied by the target occupant in the seat overlap area based on the radar detection parameters.

[0113] In one feasible implementation, the step of "determining the seat occupied by the occupant based on the radar detection parameters corresponding to the target occupant" in step S30 above may specifically include steps S301 to S303:

[0114] Step S301: Read the echo signal power value contained in each radar detection parameter, and determine the first comparison result based on each echo signal power value;

[0115] Step S302: If it is determined that the first comparison result shows that there are differences in the power values ​​of each echo signal, determine the target echo signal power value among the power values ​​of each echo signal, wherein the target echo signal power value is the echo signal power value with the largest value;

[0116] Step S303: Based on the target echo signal power value, filter multiple preset vehicle seats in the seat overlap area to determine the seat occupied by the occupant.

[0117] In this embodiment, if the intelligent cockpit determines that the preset seat areas corresponding to the target occupant are all the same seat overlap areas, it further reads the radar detection parameters to obtain the echo signal power value contained in each radar detection parameter. The intelligent cockpit then processes each echo signal power value to obtain a first comparison result corresponding to multiple ultra-wideband radar detection devices. After that, the intelligent cockpit reads the first comparison result, and if it determines that there is a difference in the echo signal power value in the first comparison result, it filters each echo signal power value to determine the target echo signal power value with the largest value. Finally, the intelligent cockpit filters multiple preset vehicle seats in the seat overlap area based on the target echo signal power value to determine the seat occupied by the occupant.

[0118] For example, please refer to Figure 10 , Figure 10 This is a schematic diagram of a third scenario in an embodiment of the occupant seat occupancy detection method of this application. If the smart cockpit determines that the preset seat area corresponding to the target occupant is the aforementioned overlapping seat area 2, it further reads the aforementioned first radar detection parameters and second radar detection parameters to obtain the first echo signal power value P1 contained in the first radar detection parameters and the second echo signal power value P2 contained in the second radar detection parameters. The smart cockpit then processes the first echo signal power value P1 and the second echo signal power value P2 to obtain a first comparison result. After that, the smart cockpit reads the first comparison result, and if it determines that there is a difference in the echo signal power values, it determines the target echo signal power value with the largest value among the first echo signal power value P1 and the second echo signal power value P2. Finally, if the smart cockpit determines that the target echo signal power value is the first echo signal power value P1, it determines that when the aforementioned UWB radar device B transmits the second radar detection signal to the target occupant, the second radar detection signal is absorbed by the back of the vehicle seat, that is, if... Figure 10 As shown, the second radar detection signal cannot directly contact the target occupant. The smart cockpit thus determines that there is a seat back between the target occupant and the UWB radar device B, thereby determining that the target occupant is in the front seat and identifying the front passenger seat in the seat overlap area 2 as the seat occupied by the target occupant.

[0119] Similarly, please refer to Figure 11 , Figure 11 This is a schematic diagram of a fourth scenario in an embodiment of the occupant seat occupancy detection method of this application. If the smart cockpit determines that the target echo signal power value is the second echo signal power value P2, then it determines that when the aforementioned UWB radar device A transmits the first radar detection signal to the target occupant, the first radar detection signal is absorbed by the back of the vehicle seat, that is, if... Figure 11As shown, the first radar detection signal cannot directly contact the target occupant. The smart cockpit then determines that there is a seat back between the target occupant and the UWB radar device A, and thus determines that the target occupant is in the rear seat. The front passenger seat in the seat overlap area 2 is identified as the seat occupied by the target occupant.

[0120] In this way, when multiple ultra-wideband radar detection devices simultaneously detect that the target occupant is in the same seat overlap area, the intelligent cockpit can further determine the seat occupied by the target occupant in the seat overlap area based on the radar detection parameters.

[0121] In one feasible implementation, the step of "determining the first comparison result based on the power values ​​of each echo signal" in step S301 above may specifically include steps S3011 to S3014:

[0122] Step S3011: Determine the echo signal power difference between each of the echo signal power values;

[0123] Step S3012: Determine a preset signal difference threshold and determine whether the echo signal power difference reaches the preset signal difference threshold;

[0124] Step S3013: If it is determined that the power difference of the echo signal reaches the preset signal difference threshold, then the first comparison result is determined to be that there is a difference in the power values ​​of each echo signal;

[0125] Step S3014: If it is determined that the power difference of the echo signal does not reach the preset signal difference threshold, then the first comparison result is determined to be that there is no difference in the power values ​​of each echo signal.

[0126] In this embodiment, after acquiring the echo signal power values ​​collected by the two ultra-wideband radar detection devices, the smart cockpit first calculates the difference between the two echo signal power values ​​to obtain the echo signal power difference between them. Then, the smart cockpit reads the storage module configured in the vehicle to obtain a preset signal difference threshold and compares the echo signal power difference with the preset signal difference threshold to determine whether the echo signal power difference reaches the preset signal difference threshold. Finally, if the smart cockpit determines that the echo signal power difference reaches the preset signal difference threshold, it determines that the first comparison result is that there is a difference between the echo signal power values. Similarly, if the smart cockpit determines that the echo signal power difference does not reach the preset signal difference threshold, it determines that there is no difference between the echo signal power values.

[0127] For example, after the smart cockpit receives the first echo signal power value collected by UWB radar device A and the second echo signal power value collected by UWB radar device B, it first calculates the first and second echo signal power values ​​to determine the echo signal power difference between them. Then, the smart cockpit reads the storage module configured in the vehicle to obtain a preset signal difference threshold of 3dB. The smart cockpit then compares the echo signal power difference with the preset signal difference threshold to determine if the echo signal power difference is within the threshold range. If the difference in echo signal power reaches 3dB, the intelligent cockpit determines that the radar detection signal emitted by UWB radar device B or UWB radar device A to the target occupant cannot directly contact the target occupant, thus determining that the first comparison result is that there is a difference in the power values ​​of each echo signal. Similarly, if the intelligent cockpit determines that the difference in echo signal power does not reach 3dB, the intelligent cockpit determines that the radar detection signal emitted by UWB radar device B and UWB radar device A to the target occupant can directly contact the target occupant, thus determining that the first comparison result is that there is no difference in the power values ​​of each echo signal.

[0128] In this embodiment, the intelligent cockpit first invokes two ultra-wideband radar detection devices configured within the cockpit to scan the interior, thereby filtering the various detection targets contained within the cockpit to identify target occupants with biological characteristics. Then, the intelligent cockpit determines the preset seat area corresponding to the target occupant within the cockpit when each of the two ultra-wideband radar detection devices detects the target occupant, and judges whether the two preset seat areas obtained by the two ultra-wideband radar detection devices are the same overlapping seat area. Finally, if the intelligent cockpit determines that multiple preset seat areas corresponding to the target occupant are the same overlapping seat area, it further reads the radar detection parameters corresponding to the target occupant and filters the multiple preset vehicle seats contained within the overlapping seat area based on the radar detection parameters to determine the seat occupied by the occupant.

[0129] Thus, this application solves the technical problem in related technologies where vehicles easily identify incorrect occupant seat occupancy. Specifically, this application uses multiple ultra-wideband radar detection devices to detect the smart cockpit, thereby identifying target occupants with biological characteristics within the vehicle. It further identifies the preset seat area where the target occupant is located when the multiple ultra-wideband radar devices detect the target occupant. When multiple preset seat areas are determined to be the same overlapping area, the vehicle seat occupied by the target occupant is determined based on the radar detection parameters obtained by the ultra-wideband radar detection devices. This avoids the situation where the smart cockpit misidentifies a seat with non-biological characteristics as occupied by an occupant when such items are placed on it. This allows the smart cockpit to accurately identify whether a vehicle seat is occupied by a target occupant with biological characteristics and to determine the seat occupied by the target occupant, ensuring that the vehicle can activate the correct functional modules based on seat occupancy and guaranteeing the occupant's riding experience.

[0130] Based on the first embodiment of this application, a second embodiment of this application is proposed herein. In this second embodiment, content that is the same as or similar to that in the first embodiment described above can be referred to the above description and will not be repeated hereafter. Furthermore, after step S301 above, the method for detecting occupant seat occupancy in this application may further include steps A10 to A20:

[0131] Step A10: If it is determined that there is no difference in the power values ​​of each echo signal in the first comparison result, the displacement direction of the biological characteristics corresponding to the target occupant is determined based on each of the radar detection parameters;

[0132] Step A20: Determine the seat occupied by the occupant based on the displacement direction of the biological characteristics;

[0133] It should be noted that the direction of displacement of this biometric feature corresponds to the direction of displacement of the biometric feature generated by the target occupant. This can be understood as follows: when the target occupant sits in different postures in a vehicle seat, their skin will undergo certain displacements in different directions due to biometric features such as breathing and heartbeat. For example, when the target occupant is in the front passenger seat, if the seat back is not reclined, the target occupant needs to lean against the seat back in an upright position. Thus, when the target occupant breathes, their skin surface will shift radially upwards on the radar. Displacement occurs; similarly, when the target occupant is in the front passenger seat, if the back of the front passenger seat is laid flat, the target occupant will be lying flat against the back of the seat. In this way, when the target occupant breathes, the surface of their skin will be displaced in the tangential direction of the radar. Similarly, when the target occupant is in the rear passenger seat, since the back of the rear passenger seat cannot be laid flat, the target occupant needs to be in an upright position against the rear passenger seat. In this way, when the target occupant breathes, the surface of their skin will be displaced in the radial direction of the radar.

[0134] In this embodiment, after determining that the first comparison result shows that there is no difference in the power values ​​of each echo signal, the smart cockpit further reads each radar detection parameter and determines the biological characteristic displacement direction corresponding to the target occupant based on each radar detection parameter. Then, the smart cockpit filters each vehicle preset seat in the seat overlap area based on the biological characteristic displacement direction to determine the seat occupied by the occupant.

[0135] For example, after reading the first comparison result, the smart cockpit reads the first comparison result and, if it determines that there is no intensity difference between the power values ​​of each echo signal, further reads the first radar detection parameters and each of the second radar detection parameters, and processes each of the first radar detection parameters and each of the second radar detection parameters to determine the direction of bio-feature displacement of the skin on the body surface of the target occupant during breathing. Then, the smart cockpit filters the front passenger seat and the rear front passenger seat in the seat overlap area 2 based on the bio-feature displacement direction to determine the seat occupied by the target occupant.

[0136] In this way, when multiple ultra-wideband radar detection devices detect that the echo signal power received by each device is similar, the intelligent cockpit can determine the direction of biological feature displacement of the target occupant based on the radar detection parameters, and determine the seat occupied by the target occupant based on the direction of biological feature displacement.

[0137] In one feasible implementation, step A20 above may specifically include steps A201 to A204:

[0138] Step A201: Determine the cockpit partition line corresponding to the intelligent cockpit, and determine the target angle difference between the biological feature displacement direction and the cockpit partition line;

[0139] Step A202: Determine a preset angle difference threshold, and compare the target angle difference with the preset angle difference threshold to obtain a second comparison result;

[0140] Step A203: If the second comparison result indicates that the target angle difference reaches the preset angle difference threshold, determine that the front vehicle seat in the seat overlap area is an occupied seat.

[0141] Step A204: If the second comparison result indicates that the target angle difference does not reach the preset angle difference threshold, determine that the rear vehicle seats in the seat overlap area are occupied by occupants.

[0142] It should be noted that this cockpit dividing line is a dividing line that can distinguish the left and right parts of the intelligent cockpit. It can be understood that when the two ultra-wideband radar detection devices are respectively configured in the front half and rear half of the cockpit, since their radial directions are on the same horizontal line, the extension lines of the two in the radial direction can divide the driver's seat and the rear seat of the driver's seat into the left half of the cockpit, and divide the passenger seat and the rear seat of the passenger seat into the right half of the cockpit.

[0143] In this embodiment, after obtaining the displacement direction of the biological feature, the intelligent cockpit first determines the cockpit dividing line corresponding to the cockpit and calculates the target angle difference between the displacement direction of the biological feature and the cockpit dividing line. Then, the intelligent cockpit reads the aforementioned storage module to obtain a preset angle difference threshold and compares the target angle difference with the preset angle difference threshold to obtain a second comparison result. Finally, the intelligent cockpit reads the second comparison result. If the second comparison result indicates that the target angle difference reaches the preset angle difference threshold, the intelligent cockpit determines that the rear vehicle seat in the seat overlap area is the seat occupied by the target occupant. Similarly, if the second comparison result indicates that the target angle difference does not reach the preset angle difference threshold, the intelligent cockpit determines that the front vehicle seat in the seat overlap area is the seat occupied by the target occupant.

[0144] For example, please refer to Figure 8 and Figure 9 ,in, Figure 8 This is a schematic diagram of a first scenario involving an embodiment of the method for detecting occupant seat occupancy in this application. Figure 9 This is a schematic diagram of a second scenario in an embodiment of the occupant seat occupancy detection method of this application. After determining the biometric displacement direction corresponding to the target occupant, the smart cockpit first determines the cockpit dividing line parallel to the radar radial direction and calculates the target angle difference between the biometric displacement direction and the cockpit dividing line. Then, the smart cockpit reads the aforementioned storage module to obtain a preset angle difference threshold and compares the target angle difference with the preset angle difference threshold to obtain a second comparison result. Finally, the smart cockpit reads the second comparison result, and when it determines that the second comparison result indicates that the target angle difference reaches the preset angle difference threshold, it determines that there is a significant difference between the displacement direction of the target occupant's skin surface and the cockpit dividing line. Figure 9As shown, the intelligent cockpit determines that the target occupant is currently lying flat on the front passenger seat with the backrest reclined. The intelligent cockpit then identifies the front passenger seat within the seat overlap area 2 as the seat occupied by the target occupant. Similarly, when the intelligent cockpit determines that the second comparison result is that the target angle difference does not reach the preset angle difference threshold, it ensures that the displacement direction of the target occupant's skin surface remains consistent with the cockpit dividing line. Simultaneously, since there is no difference between the first echo signal power value P1 and the second echo signal power value P2, at this time, if... Figure 8 As shown, the intelligent cockpit determines that the front passenger seat is lowered and that the target occupant is leaning against the rear passenger seat with their back upright. The intelligent cockpit then identifies the rear passenger seat within the seat overlap area 2 as the seat occupied by the occupant.

[0145] In this way, when multiple ultra-wideband radar detection devices detect that the echo signal power received by each device is similar, the intelligent cockpit can determine the direction of biological characteristic displacement of the target occupant based on the radar detection parameters, and determine the seat occupied by the target occupant based on the direction of biological characteristic displacement.

[0146] In one feasible implementation, the step of "determining the radar radial dividing lines corresponding to the plurality of ultra-wideband radar detection devices" in step A201 above may specifically include steps A2011 to A2012:

[0147] Step A2011: Determine the radar deployment location and detection angle parameters corresponding to each of the multiple ultra-wideband radar detection devices;

[0148] Step A2012: Determine the cockpit dividing line corresponding to the smart cockpit based on the deployment location of each radar and the detection angle parameters of each radar.

[0149] In this embodiment, after determining the displacement direction of the target occupant's biological characteristics, the intelligent cockpit first reads the aforementioned storage module to obtain the deployment location information and detection angle parameters corresponding to each of the multiple ultra-wideband radar detection devices. Then, based on the deployment location information and detection angle parameters, the intelligent cockpit determines the radar radial direction corresponding to each of the multiple ultra-wideband radar detection devices, and determines the cockpit division line corresponding to each radar radial direction.

[0150] For example, after determining the displacement direction of the biometric features corresponding to the target occupant, the smart cockpit first reads the aforementioned storage module to obtain the deployment location information and detection angle parameters of UWB radar device A and UWB radar device B. Then, the smart cockpit determines the radar radial extension line corresponding to each of the deployment location information and detection angle parameters, and determines the radial extension line as a cockpit dividing line that can divide the cockpit into left and right parts and is parallel to the radar radial direction.

[0151] In this way, the intelligent cockpit can determine the radial direction of each radar based on the deployment location information and detection angle parameters of each of the multiple ultra-wideband radar detection devices, and determine the cockpit dividing line for judging the location of the target occupant based on the radial direction of each radar.

[0152] Based on the first and / or second embodiments of this application, a third embodiment of this application is proposed herein. In this third embodiment, content that is the same as or similar to the above embodiments can be referred to the above description and will not be repeated hereafter. Furthermore, prior to step S10 above, the method for detecting occupant seat occupancy in this application may further include steps B10 to B20:

[0153] Step B10: Determine the seat movement range corresponding to each of the multiple preset vehicle seats in the smart cockpit;

[0154] Step B20: Determine the overlapping area and the defined area of ​​each seat in the smart cockpit based on the movement range of each seat.

[0155] In this embodiment, before the smart cockpit calls the two ultra-wideband radar detection devices configured on the vehicle to detect the cockpit, it first reads the storage module configured in the vehicle to determine the seat movement range corresponding to each of the multiple preset vehicle seats in the cockpit. Then, the smart cockpit divides the cockpit area according to the movement range of each seat, thereby dividing the seat determination area that can accurately identify the seat occupied by the target occupant and the seat overlap area that cannot accurately identify the seat occupied by the target occupant.

[0156] For example, before the smart cockpit invokes the UWB radar devices A and B configured within the cockpit to detect the cockpit, it first reads the storage module configured in the vehicle to determine the respective seat movement ranges of the driver's seat, front passenger seat, rear driver's seat, and rear front passenger seat. Then, based on the movement ranges of each seat, the smart cockpit determines the accurate identification areas within the cockpit for each of the driver's seat, front passenger seat, rear driver's seat, and rear front passenger seat, and divides the cockpit based on these accurate identification areas. The following areas are obtained: Area-1, which can detect that the target occupant is in the driver's seat; Area-2, which can detect that the target occupant is in the front passenger seat; Area-3, which can detect that the target occupant is in the rear seat behind the driver's seat; Area-4, which can detect that the target occupant is in the rear seat behind the front passenger seat; and overlapping area 1, which can detect that the target occupant is in the driver's seat or the rear seat behind the driver's seat; and overlapping area 2, which can detect that the target occupant is in the front passenger seat or the rear seat behind the front passenger seat.

[0157] In this way, the intelligent cockpit can divide the cockpit according to the seat movement trajectory of each preset vehicle seat, thereby accurately determining the overlapping area of ​​the seats occupied by the target occupant.

[0158] For example, to help understand the implementation process of the occupant seat occupancy detection method obtained by combining this embodiment with the above embodiments, please refer to... Figure 7 , Figure 7 This is a simplified flowchart illustrating the method for detecting occupant seat occupancy in this application. Specifically:

[0159] In this embodiment, the smart cockpit first invokes UWB radar device A, configured at the front of the smart cockpit, and UWB radar device B, configured at the rear of the smart cockpit, to simultaneously scan the cockpit. It receives the first reflected radar signals generated by UWB radar device A during the detection process, and the second reflected radar signals generated by UWB radar device B during the detection process. The smart cockpit then processes the first and second reflected radar signals to determine the liveness radar signals contained within them. The smart cockpit identifies the detection target corresponding to the liveness radar signal as a target occupant exhibiting biological characteristics. Subsequently, the smart cockpit reads the first radial angle θ1 and the first tangential angle collected by UWB radar device A during the target occupant detection. And based on the first radial angle θ1 and the first tangential angle The system determines the first radar detection area within the first radar detection range corresponding to UWB radar device A for the target occupant. Simultaneously, the smart cockpit reads the second radial angle θ2 and the second tangential angle collected by UWB radar device B when detecting the target occupant. And based on the second radial angle θ2 and the second tangential angle The target occupant is identified as the third radar detection area within the second radar detection range corresponding to UWB radar device B. Subsequently, the intelligent cockpit determines that the first radar detection area corresponds to the seat overlap area 2 in each preset seat area within the cockpit, and also determines that the third radar detection area corresponds to the seat overlap area 2 in each preset seat area within the cockpit.

[0160] Then, the smart cockpit reads the first echo signal power value P1 received by UWB radar device A when detecting the target occupant, and reads the second echo signal power value P2 received by UWB radar device B when detecting the target occupant. The smart cockpit then calculates the echo signal power difference between the first echo signal power value P1 and the second echo signal power value P2. At this time, the smart cockpit reads the aforementioned storage module to obtain a preset signal difference threshold of 3dB, and determines whether the echo signal power difference reaches 3dB. If the smart cockpit determines that... When the echo signal power difference reaches 3dB and the first echo signal power value P1 is greater than the second echo signal power value P2, the intelligent cockpit determines that the target occupant is in the front seat and identifies the front passenger seat within the seat overlap area 2 as the seat occupied by the target occupant. Similarly, if the intelligent cockpit determines that the echo signal power difference reaches 3dB and the first echo signal power value P1 is less than the second echo signal power value P2, the intelligent cockpit determines that the target occupant is in the rear seat and identifies the rear front passenger seat within the seat overlap area 2 as the seat occupied by the target occupant.

[0161] Furthermore, if the intelligent cockpit determines that the echo signal power difference is less than 3dB, it further determines the biometric displacement direction of the target occupant based on the detection parameters of each radar. Simultaneously, the intelligent cockpit determines the radar radial direction of each UWB radar device A and UWB radar device B based on the deployment location information and detection angle parameters. The intelligent cockpit then determines a cockpit dividing line that divides the cockpit into left and right parts and is parallel to the radar radial direction. The intelligent cockpit then determines the target angle difference between the biometric displacement direction and the cockpit dividing line. The intelligent cockpit compares the target angle difference with a preset angle difference threshold to determine whether the target angle difference reaches the preset angle difference threshold. Finally, if the intelligent cockpit determines that the target angle difference reaches the preset angle difference threshold, it determines that the front passenger seat in the seat overlap area 2 is the seat occupied by the target occupant. Similarly, if the intelligent cockpit determines that the target angle difference does not reach the preset angle difference threshold, it determines that the rear front passenger seat in the seat overlap area 2 is the seat occupied by the target occupant.

[0162] It should be noted that the above examples are only for understanding this application and do not constitute a limitation on the detection method for occupants occupying seats in this application. Any simple modifications based on this technical concept are within the protection scope of this application.

[0163] This application provides an intelligent cockpit, which includes: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, which are executed by the at least one processor to enable the at least one processor to perform the occupant occupancy detection method in Embodiment 1 above.

[0164] The following is for reference. Figure 12 The diagram illustrates a structural schematic suitable for implementing the intelligent cockpit embodiments of this application. The intelligent cockpit in these embodiments may include, but is not limited to, an intelligent cockpit with two UWB (Ultra Wideband) radar devices internally configured, or terminals such as mobile terminals, data storage control terminals, and PCs connected to the electronic control unit associated with the intelligent cockpit. Figure 12 The smart cockpit shown is merely an example and should not impose any limitations on the functionality and scope of use of the embodiments of this application.

[0165] like Figure 12As shown, the smart cockpit may include a processing unit 1001 (e.g., a central processing unit, a graphics processing unit, etc.), which can perform various appropriate actions and processes according to a program stored in a read-only memory (ROM) 1002 or a program loaded from a storage device 1003 into a random access memory (RAM) 1004. The RAM 1004 also stores various programs and data required for the operation of the smart cockpit. The processing unit 1001, ROM 1002, and RAM 1004 are interconnected via a bus 1005. An input / output (I / O) interface 1006 is also connected to the bus. Typically, the following systems can be connected to the I / O interface 1006: input devices 1007 including, for example, a touchscreen, touchpad, keyboard, mouse, image sensor, microphone, accelerometer, gyroscope, etc.; output devices 1008 including, for example, a liquid crystal display (LCD), speaker, vibrator, etc.; storage devices 1003 including, for example, magnetic tape, hard disk, etc.; and communication devices 1009. The communication device 1009 allows the smart cockpit to communicate wirelessly or wiredly with other devices to exchange data. While the figure shows a smart cockpit with various systems, it should be understood that implementing or having all of the systems shown is not required. More or fewer systems may be implemented alternatively.

[0166] Specifically, according to the embodiments disclosed in this application, the processes described above with reference to the flowcharts can be implemented as computer software programs. For example, embodiments disclosed in this application include a computer program product comprising a computer program carried on a computer-readable medium, the computer program containing program code for performing the methods shown in the flowcharts. In such embodiments, the computer program can be downloaded and installed from a network via a communication device, or installed from storage device 1003, or installed from ROM 1002. When the computer program is executed by processing device 1001, it performs the functions defined in the methods of the embodiments disclosed in this application.

[0167] The intelligent cockpit provided in this application employs the occupant seat occupancy detection method described in the above embodiments, which can solve the technical problem in related technologies where vehicles easily identify incorrect occupant seat occupancy. Compared with the prior art, the beneficial effects of the intelligent cockpit provided in this application are the same as those of the occupant seat occupancy detection method provided in the above embodiments, and other technical features in this intelligent cockpit are the same as those disclosed in the previous embodiment method, and will not be repeated here.

[0168] It should be understood that the various parts disclosed in this application can be implemented using hardware, software, firmware, or a combination thereof. In the description of the above embodiments, specific features, structures, materials, or characteristics can be combined in any suitable manner in one or more embodiments or examples.

[0169] The above description is merely a specific embodiment of this application, but the scope of protection of this application is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the scope of the technology disclosed in this application should be included within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of the claims.

[0170] This application provides a computer-readable storage medium having computer-readable program instructions (i.e., a computer program) stored thereon, the computer-readable program instructions being used to execute the occupant occupancy detection method in the above embodiments.

[0171] The computer-readable storage medium provided in this application may be, for example, a USB flash drive, but is not limited to, electrical, magnetic, optical, electromagnetic, infrared, or semiconductor systems or devices, or any combination thereof. More specific examples of computer-readable storage media may include, but are not limited to: electrical connections having one or more wires, portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fibers, portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination thereof. In this embodiment, the computer-readable storage medium may be any tangible medium containing or storing a program that can be used by or in conjunction with an instruction execution system or device. The program code contained on the computer-readable storage medium may be transmitted using any suitable medium, including but not limited to: wires, optical cables, RF (Radio Frequency), etc., or any suitable combination thereof.

[0172] The aforementioned computer-readable storage medium may be included in the smart cockpit; or it may exist independently and not be installed in the smart cockpit.

[0173] The aforementioned computer-readable storage medium carries one or more programs that, when executed by the smart cockpit, cause the smart cockpit to: detect multiple targets within the smart cockpit using multiple ultra-wideband radar detection devices to identify target occupants; determine multiple preset seat areas corresponding to the target occupants and determine whether the multiple preset seat areas are the same overlapping seat areas; if it is determined that the multiple preset seat areas are the same overlapping seat areas, then determine the seat occupied by the occupant based on the radar detection parameters corresponding to the target occupants.

[0174] Computer program code for performing the operations of this application can be written in one or more programming languages ​​or a combination thereof, including object-oriented programming languages ​​such as Java, Smalltalk, and C++, and conventional procedural programming languages ​​such as the "C" language or similar programming languages. The program code can be executed entirely on the user's computer, partially on the user's computer, as a standalone software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In cases involving remote computers, the remote computer can be connected to the user's computer via any type of network—including a Local Area Network (LAN) or a Wide Area Network (WAN)—or can be connected to an external computer (e.g., via the Internet using an Internet service provider).

[0175] The flowcharts and block diagrams in the accompanying drawings illustrate the architecture, functionality, and operation of possible implementations of systems, methods, and computer program products according to various embodiments of this application. In this regard, each block in a flowchart or block diagram may represent a module, segment, or portion of code containing one or more executable instructions for implementing a specified logical function. It should also be noted that in some alternative implementations, the functions indicated in the blocks may occur in a different order than those indicated in the drawings. For example, two consecutively indicated blocks may actually be executed substantially in parallel, and they may sometimes be executed in reverse order, depending on the functions involved. It should also be noted that each block in the block diagrams and / or flowcharts, and combinations of blocks in the block diagrams and / or flowcharts, can be implemented using a dedicated hardware-based system that performs the specified function or operation, or using a combination of dedicated hardware and computer instructions.

[0176] The modules described in the embodiments of this application can be implemented in software or hardware. The names of the modules do not necessarily limit the functionality of the unit itself.

[0177] The readable storage medium provided in this application is a computer-readable storage medium that stores computer-readable program instructions (i.e., a computer program) for executing the above-described method for detecting occupant seat occupancy, thereby solving the technical problem in related technologies where vehicles easily identify incorrect occupant seat occupancy. Compared with the prior art, the beneficial effects of the computer-readable storage medium provided in this application are the same as those of the occupant seat occupancy detection method provided in the above embodiments, and will not be repeated here.

[0178] This application provides a vehicle having the intelligent cockpit described above.

[0179] The vehicle provided in this application solves the technical problem in related technologies where vehicles easily identify incorrect occupant seat occupancy. Compared with the prior art, the beneficial effects of the vehicle provided in this application are the same as those of the occupant seat occupancy detection method provided in the above embodiments, and will not be repeated here.

[0180] This application also provides a computer program product, including a computer program that, when executed by a processor, implements the steps of the occupant occupancy detection method described above.

[0181] The computer program product provided in this application can solve the technical problem in related technologies where vehicles easily identify incorrect occupant seat occupancy. Compared with the prior art, the beneficial effects of the computer program product provided in this application are the same as those of the occupant seat occupancy detection method provided in the above embodiments, and will not be repeated here.

[0182] The above description is only a part of the embodiments of this application and does not limit the patent scope of this application. All equivalent structural transformations made under the technical concept of this application and using the contents of the specification and drawings of this application, or direct / indirect applications in other related technical fields, are included in the patent protection scope of this application.

Claims

1. A method of detecting an occupant occupying a seat, characterized by, The method for detecting the seat occupied by the passenger is applied to an intelligent cabin, a plurality of ultra-wideband radar detection devices are arranged in the intelligent cabin, and the method comprises the steps that: a plurality of detection targets in the intelligent cabin are detected by the plurality of ultra-wideband radar detection devices to determine target passengers; a plurality of preset seat areas corresponding to the target passengers are determined, and it is judged whether the plurality of preset seat areas are the same seat overlapping area; if it is judged that the plurality of preset seat areas are the same seat overlapping area, the seat occupied by the passenger is determined according to each radar detection parameter corresponding to the target passenger.

2. The method of claim 1, wherein The step of detecting a plurality of detection targets in the intelligent cabin by the plurality of ultra-wideband radar detection devices to determine target passengers comprises the steps that: a plurality of detection radar signals are emitted to a plurality of detection targets in the intelligent cabin by the plurality of ultra-wideband radar detection devices; each corresponding reflection radar signal of the plurality of detection radar signals is received by the plurality of ultra-wideband radar detection devices, wherein the reflection radar signal is a reflection signal formed after the detection radar signal contacts the detection target; target passengers are determined based on each reflection radar signal.

3. The method of claim 2, wherein The step of determining target passengers based on each reflection radar signal comprises the steps that: a living body radar signal existing in each reflection radar signal is determined, wherein the living body radar signal is a reflection radar signal in which the radar signal feature changes; the detection target corresponding to the living body radar signal is determined as a target passenger.

4. The method of claim 1, wherein The step of determining a plurality of preset seat areas corresponding to the target passengers comprises the steps that: each radar detection parameter corresponding to the target passenger is determined, and a passenger position detection result corresponding to each of the plurality of ultra-wideband radar detection devices is determined according to each radar detection parameter; a plurality of preset seat areas corresponding to the target passenger are determined based on each passenger position detection result, wherein the preset seat area comprises a plurality of seat determination areas and a plurality of seat overlapping areas.

5. The method of claim 1, wherein The step of determining the seat occupied by the passenger according to each radar detection parameter corresponding to the target passenger comprises the steps that: a first comparison result is determined based on each echo signal power value included in each radar detection parameter; in a case where it is determined that the first comparison result is that each echo signal power value is different, a target echo signal power value is determined from among each echo signal power value, wherein the target echo signal power value is the echo signal power value with the largest value; a plurality of preset vehicle seats in the seat overlapping area are screened based on the target echo signal power value to determine the seat occupied by the passenger.

6. The method of claim 5, wherein The step of determining the first comparison result based on each echo signal power value comprises the steps that: an echo signal power difference value generated between each echo signal power value is determined; a preset signal difference threshold value is determined, and it is judged whether the echo signal power difference value reaches the preset signal difference threshold value; if it is judged that the echo signal power difference value reaches the preset signal difference threshold value, it is determined that the first comparison result is that each echo signal power value is different. If it is determined that the echo signal power difference does not reach the preset signal difference threshold, it is determined that the first comparison result is that there is no difference between the echo signal power values.

7. The method for detecting occupancy of a seat as described in claim 5, characterized in that, After the step of determining the first comparison result based on the echo signal power values, the method further comprises: In a case where it is determined that the first comparison result is that there is no difference between the echo signal power values, determining a biological feature displacement direction corresponding to the target occupant based on the radar detection parameters. Determining the seat occupied by the occupant based on the biological feature displacement direction.

8. The method of claim 7, wherein The step of determining the seat occupied by the occupant based on the biological feature displacement direction comprises: Determining a cabin dividing line corresponding to the intelligent cabin, and determining a target angle difference value generated between the biological feature displacement direction and the cabin dividing line; Determining a preset angle difference threshold, and comparing the target angle difference value with the preset angle difference threshold to obtain a second comparison result; In a case where it is determined that the second comparison result is that the target angle difference value reaches the preset angle difference threshold, determining that the front row vehicle seat in the seat overlapping region is the seat occupied by the occupant; In a case where it is determined that the second comparison result is that the target angle difference value does not reach the preset angle difference threshold, determining that the rear row vehicle seat in the seat overlapping region is the seat occupied by the occupant.

9. The method of claim 8, wherein The step of determining the cabin dividing line corresponding to the intelligent cabin comprises: Determining a radar deployment position and a detection angle parameter corresponding to each of the plurality of ultra-wideband radar detection devices; Determining the cabin dividing line corresponding to the intelligent cabin based on the radar deployment position and the detection angle parameter.

10. The method of claim 1, wherein Before the step of detecting a plurality of detection targets in the intelligent cabin by the plurality of ultra-wideband radar detection devices to determine a target occupant, the method further comprises: Determining a seat movement range corresponding to each of a plurality of preset vehicle seats in the intelligent cabin; Determining each seat overlapping region and each seat determination region corresponding to the intelligent cabin according to the seat movement range.

11. An intelligent cabin, characterized in that, The intelligent cabin comprises a plurality of ultra-wideband radar detection devices, a memory, a processor, and a computer program stored on the memory and executable on the processor, wherein the computer program is configured to implement the steps of the detection method of the seat occupied by the occupant according to any one of claims 1 to 10.

12. A vehicle characterized by comprising: The vehicle comprises the intelligent cabin according to claim 11.

13. A storage medium, characterized by The storage medium is a computer readable storage medium, and the storage medium stores a computer program, wherein the computer program is executed by the processor to implement the steps of the detection method of the seat occupied by the occupant according to any one of claims 1 to 10.

14. A computer program product, characterised in that, The computer program product comprises a computer program, wherein the computer program is executed by the processor to implement the steps of the detection method of the seat occupied by the occupant according to any one of claims 1 to 10.

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