Passenger detection methods, devices, equipment and storage media in the crew cabin

Abstract

This invention discloses a method, apparatus, device, and storage medium for passenger detection in the passenger compartment. The method includes the following steps: when a change in vehicle height is detected, acquiring position determination parameters, and preliminarily determining the position of a target object based on the determination parameters, wherein the target object is the factor causing the change in vehicle height; acquiring image features inside the passenger compartment, determining whether the image features of the target object are human features, and if so, determining that the target object is a passenger and recording the position of the target object so that the vehicle's safety protection system can execute corresponding safety protection strategies for the passenger at the position; detecting the weight distribution of different seats on the vehicle based on the height monitoring sensor of the vehicle chassis, and combining this with the onboard camera to detect whether each seat is occupied by a passenger or stacked items, that is, by fusing the signals from the height monitoring sensor and the camera, passengers at each position can be accurately detected, avoiding missed or false detections.

Description

Technical Field

[0001] This invention relates to the field of automotive safety, and more particularly to methods, devices, equipment, and storage media for detecting passengers in the passenger compartment. Background Technology

[0002] For safety reasons, existing vehicles are equipped with sensors in the passenger compartment to monitor occupants and provide timely reminders. This allows for accurate detection of passenger positions during driving, timely reminders to the driver to wear seat belts, and precise deployment of airbags to reduce collision injuries.

[0003] Current passenger detection systems primarily rely on traditional seat pressure sensors to detect the presence of passengers in the passenger compartment. However, these systems suffer from poor robustness. When passengers are not seated in their pre-set positions or are not in an upright posture, they may be falsely detected as absent. For example, if a passenger sits in an abnormal posture with their buttocks only slightly touching the seat or with their legs raised and their buttocks deeply touching the seat, the occupant detection device may fail to detect them. Therefore, existing occupant detection systems have low accuracy, leading to missed or false detections. Summary of the Invention

[0004] The main objective of this invention is to provide a passenger detection method, apparatus, device, and storage medium for the passenger cabin, aiming to solve the technical problem of low passenger detection accuracy in existing passenger detection systems.

[0005] To achieve the above objectives, the present invention provides a passenger detection method for the passenger cabin, the passenger detection method for the passenger cabin comprising the following steps:

[0006] When a change in vehicle height is detected, position determination parameters are acquired, and the position of the target object is initially determined based on the determination parameters. The target object is the factor that causes the change in vehicle height.

[0007] The system acquires image features within the passenger compartment, determines whether the image features of the target object are human features, and if so, identifies the target object as a passenger and records the location of the target object so that the vehicle's safety protection system can execute corresponding safety protection strategies for the passenger at that location.

[0008] Optionally, the step of acquiring position determination-related parameters when a change in vehicle height is detected, and preliminarily determining the position of the target object based on the determination-related parameters, wherein the target object is the factor causing the change in vehicle height, includes:

[0009] When a change in vehicle height is detected, position determination parameters are acquired, which are measured by a height monitoring sensor installed on the axle.

[0010] Based on the preset detection model and the location determination parameters, the location of the target object is initially determined.

[0011] Optionally, the detection model is a position parameter interpolation table.

[0012] The step of initially determining the location of the target object based on the preset detection model and the location determination parameters includes:

[0013] Obtain the location parameter interpolation table, which is established from historical location data, including altitude monitoring sensor values ​​and measured passenger positions;

[0014] Based on the location judgment parameters and the location parameter interpolation table, the weight distribution state of each position in the passenger compartment is fitted to obtain the measured passenger position corresponding to the location judgment parameters, so as to determine the position of the target object.

[0015] Optionally, the step of acquiring image features within the passenger compartment, determining whether the image features of the target object are human features, and if so, identifying the target object as a passenger and recording the location of the target object so that the vehicle's safety protection system can execute corresponding safety protection strategies for passengers at that location, includes:

[0016] Image features of the crew cabin are acquired through cameras inside the crew cabin.

[0017] The key feature points in the image features are analyzed to determine whether the image features are human features.

[0018] If so, the target object is determined to be a passenger, and the location of the target object is recorded so that the vehicle's safety protection system can execute corresponding safety protection strategies for the passenger at that location.

[0019] Optionally, after the step of parsing the key feature points in the image features to determine whether the image features are human features, the method includes:

[0020] If not, the target object is determined to be an item, and the steps of obtaining position determination parameters when a change in vehicle height is detected, and preliminarily determining the position of the target object based on the determination parameters, are performed, and the detection of passengers in the passenger compartment continues.

[0021] Optionally, the security protection strategy includes security alerts;

[0022] The step of recording the location of the target object so that the vehicle's safety protection system can execute corresponding safety protection strategies for passengers at that location includes:

[0023] Record the position of the target object;

[0024] Obtain the security protection signal at the location; if the security protection signal is a non-protection signal, output a security warning message.

[0025] Optionally, it is applied to a passenger detection controller, wherein the passenger detector is connected to a height monitoring sensor, a camera, and the passenger detection controller.

[0026] Furthermore, to achieve the above objectives, the present invention also provides a passenger detection device for the passenger compartment, the device comprising:

[0027] The initial judgment module is used to acquire position judgment-related parameters when a change in vehicle height is detected, and to preliminarily determine the position of the target object based on the judgment-related parameters. The target object is the factor that causes the change in vehicle height.

[0028] The determination module is used to acquire image features inside the passenger compartment, determine whether the image features of the target object are human features, and if so, determine that the target object is a passenger and record the position of the target object so that the vehicle's safety protection system can execute corresponding safety protection strategies for the passenger at the position.

[0029] In addition, to achieve the above objectives, this application also provides a passenger detection device for a passenger cabin, the passenger detection device for a passenger cabin includes a memory, a processor and a passenger detection program stored in the memory and executable on the processor, the passenger detection program for a passenger cabin implemented by the processor as described above when executed by the processor.

[0030] In addition, to achieve the above objectives, this application also provides a computer-readable storage medium storing a passenger detection program for the passenger cabin, which, when executed by a processor, implements the steps of the passenger cabin detection method as described above.

[0031] This invention proposes a passenger detection method, device, equipment, and storage medium for the passenger compartment. Upon detecting a change in vehicle height, it acquires position-related parameters and preliminarily determines the position of a target object, which is the factor causing the change in vehicle height. It then acquires image features within the passenger compartment, determines whether the image features of the target object are human features, and if so, identifies the target object as a passenger and records its position. This allows the vehicle's safety protection system to execute corresponding safety protection strategies for the passenger at that position. Through this method, the weight distribution of different seats on the vehicle is detected using height monitoring sensors on the vehicle chassis. Combined with onboard cameras, it can detect whether each seat is occupied by a passenger or stored items. By fusing the signals from the height monitoring sensors and the cameras, passengers at each position can be accurately detected, greatly improving the system's robustness, avoiding missed or false detections, and reducing the overall vehicle hardware cost. Attached Figure Description

[0032] Figure 1 This is a schematic diagram of the terminal / device structure of the hardware operating environment involved in the embodiments of the present invention;

[0033] Figure 2 This is a flowchart illustrating the first embodiment of the passenger detection method in the passenger cabin of the present invention.

[0034] Figure 3 This is a schematic diagram of the functional modules of a preferred embodiment of the passenger detection device in the passenger cabin of the present invention.

[0035] The realization of the objective, functional features and advantages of the present invention will be further explained in conjunction with the embodiments and with reference to the accompanying drawings. Detailed Implementation

[0036] It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.

[0037] The main solution of this invention is:

[0038] For safety reasons, existing vehicles are equipped with sensors in the passenger compartment to monitor occupants and provide timely reminders. This allows for accurate detection of passenger positions during driving, timely reminders to the driver to wear seat belts, and precise deployment of airbags to reduce collision injuries.

[0039] Current passenger detection systems primarily rely on traditional seat pressure sensors to detect the presence of passengers in the passenger compartment. However, these systems suffer from poor robustness. When passengers are not seated in their pre-set positions or are not in an upright posture, they may be falsely detected as absent. For example, if a passenger sits in an abnormal posture with their buttocks only slightly touching the seat or with their legs raised and their buttocks deeply touching the seat, the occupant detection device may fail to detect them. Therefore, existing occupant detection systems have low accuracy, leading to missed or false detections.

[0040] This invention provides a solution applicable to the field of automotive safety, addressing the technical problem of low passenger detection accuracy in existing passenger detection systems.

[0041] like Figure 1 As shown, Figure 1 This is a schematic diagram of the terminal structure of the hardware operating environment involved in the embodiments of the present invention.

[0042] The terminal in this invention embodiment can be a PC, or a smartphone, tablet computer, e-book reader, MP3 (Moving Picture Experts Group Audio Layer III) player, MP4 (Moving Picture Experts Group Audio Layer IV) player, portable computer, or other portable terminal devices with display functions.

[0043] like Figure 1 As shown, the terminal may include: a processor 1001, such as a CPU; a network interface 1004; a user interface 1003; a memory 1005; and a communication bus 1002. The communication bus 1002 is used to enable communication between these components. The user interface 1003 may include a display screen and an input unit such as a keyboard. Optionally, the user interface 1003 may also include a standard wired interface or a wireless interface. The network interface 1004 may optionally include a standard wired interface or a wireless interface (such as a Wi-Fi interface). The memory 1005 may be high-speed RAM or non-volatile memory, such as a disk drive. Optionally, the memory 1005 may also be a storage device independent of the aforementioned processor 1001.

[0044] Optionally, the terminal may also include a camera, RF (Radio Frequency) circuitry, sensors, audio circuitry, a WiFi module, and so on. Sensors may include light sensors, motion sensors, and other sensors. Specifically, light sensors may include ambient light sensors and proximity sensors. The ambient light sensor can adjust the display brightness according to the ambient light level, while the proximity sensor can turn off the display and / or backlight when the mobile terminal is moved to the ear. As a type of motion sensor, a gravity accelerometer can detect the magnitude of acceleration in various directions (generally three axes). When stationary, it can detect the magnitude and direction of gravity, and can be used for applications that identify the mobile terminal's posture (such as landscape / portrait switching, related games, magnetometer posture calibration), vibration recognition functions (such as pedometers, taps), etc. Of course, the mobile terminal may also be equipped with other sensors such as gyroscopes, barometers, hygrometers, thermometers, and infrared sensors, which will not be elaborated here.

[0045] Those skilled in the art will understand that Figure 1 The terminal structure shown does not constitute a limitation on the terminal and may include more or fewer components than shown, or combine certain components, or have different component arrangements.

[0046] like Figure 1 As shown, the memory 1005, which serves as a computer storage medium, may include an operating system, a network communication module, a user interface module, and a passenger detection program for the crew cabin.

[0047] exist Figure 1 In the terminal shown, the network interface 1004 is mainly used to connect to the backend server and communicate with the backend server; the user interface 1003 is mainly used to connect to the client (user terminal) and communicate with the client; and the processor 1001 can be used to call the passenger detection program in the passenger cabin stored in the memory 1005 to implement the steps of the passenger cabin detection method described above.

[0048] The specific implementation method of the passenger detection device in the passenger cabin of this application is basically the same as the various embodiments of the passenger detection method in the passenger cabin described above, and will not be repeated here.

[0049] The passenger detection system in the passenger compartment includes an altitude monitoring sensor, a camera, a passenger detection controller, and other systems in the vehicle (such as a power module and a communication system). The passenger detection controller can be a standalone controller or integrated into other controllers in the vehicle.

[0050] The camera is installed inside the passenger cabin and can continuously monitor the target features inside the passenger cabin. The camera signal is connected to the passenger detection controller.

[0051] The height monitoring sensor is installed on the vehicle's axle. The height monitoring sensor is an internal component of the vehicle. The number of sensors is set according to the vehicle's specifications and is not specifically limited here. Typically, four sensors are installed: two on the front axle and two on the rear axle. The height monitoring sensor signal is connected to the passenger detection controller.

[0052] The passenger detection controller fuses the input height monitoring sensor information and camera feature information to accurately detect passengers in each seat position in the passenger cabin, greatly improving the system's robustness and avoiding missed or false detections.

[0053] In this embodiment, the weight distribution of different seats in the vehicle is detected by the height monitoring sensor of the vehicle chassis, and the vehicle camera can detect whether each seat is occupied by passengers or stacked items. The signals from the height monitoring sensor and the camera are fused together, thereby accurately detecting passengers in each position, greatly improving the robustness of the system, avoiding missed detections or false detections, and reducing the hardware cost of the whole vehicle.

[0054] Reference Figure 2 , Figure 2 The first embodiment of the passenger detection method, apparatus, device, and storage medium in the passenger compartment of the present invention provides a passenger detection method for the passenger compartment. The method is implemented based on the passenger detection system and is applied to a passenger detection controller. The passenger detection method includes:

[0055] Step S10: When a change in vehicle height is detected, position determination parameters are obtained, and the position of the target object is initially determined based on the determination parameters. The target object is the factor that causes the change in vehicle height.

[0056] Step S20: Obtain image features inside the passenger compartment, determine whether the image features of the target object are human features, if so, determine that the target object is a passenger, and record the position of the target object so that the vehicle's safety protection system can execute corresponding safety protection strategies for the passenger at the position.

[0057] In this embodiment, it should be noted that the application scenario of this application is a passenger detection system based on traditional seat pressure sensors to detect whether there are passengers in the seats of the passenger compartment. When the passenger is not seated in the preset position, or when the passenger's sitting posture is not correct, it will be falsely detected as the passenger being absent, leading to missed detections or false detections. In order to improve the accuracy of detection, the detection method of this invention can be used to detect passengers in the passenger compartment to achieve the requirement of high precision. Specifically, when a change in vehicle height is detected, position judgment-related parameters are obtained, and the position of the target object is initially determined based on the judgment-related parameters; image features in the passenger compartment are obtained, and it is determined whether the image features of the target object are human features. If so, the target object is determined to be a passenger. Therefore, by fusing height monitoring sensor information and camera feature information, passengers in each seat position in the passenger compartment can be accurately detected, solving the problem of low detection accuracy and missed detections or false detections in existing passenger detection systems.

[0058] The specific steps are as follows:

[0059] Step S10: When a change in vehicle height is detected, position determination parameters are obtained, and the position of the target object is initially determined based on the determination parameters. The target object is the factor that causes the change in vehicle height.

[0060] In this embodiment, a change in vehicle height indicates the presence of passengers or items. Therefore, it is necessary to detect passengers or items and determine their location for appropriate safety measures. Upon detecting a change in vehicle height, location-related parameters are acquired. These parameters are measured by height sensors mounted on the axles. The weight distribution of each seat in the passenger compartment is obtained using these parameters, thus initially determining the location of the target object causing the change in vehicle height. It should be noted that this location could be a passenger or an item; that is, the target object could be either a passenger or an item. Further determination is needed to determine whether it is a passenger to complete passenger detection in the passenger compartment.

[0061] Furthermore, the step of acquiring position determination-related parameters when a change in vehicle height is detected, and preliminarily determining the position of the target object based on the determination-related parameters, wherein the target object is the factor causing the change in vehicle height, includes:

[0062] Step S11: When a change in vehicle height is detected, position determination related parameters are obtained. These position determination related parameters are measured by a height monitoring sensor installed on the axle.

[0063] Step S12: Based on the preset detection model and the location judgment parameters, the location of the target object is initially determined.

[0064] In this embodiment, when a change in vehicle height is detected, position determination parameters are acquired. These parameters are measured by height monitoring sensors on the axles. It can be understood that when a passenger enters the passenger compartment or an item is placed inside, the vehicle's height changes. This change is collected and recorded by the height monitoring sensors, resulting in the position determination parameters. These parameters are then input into a preset detection model to obtain position information, which represents the location of the target object—the location that caused the change in vehicle height.

[0065] It should be noted that the detection model can be an interpolation table model.

[0066] The step of initially determining the location of the target object based on the preset detection model and the location determination parameters includes:

[0067] Step S121: Obtain the position parameter interpolation table, which is established from historical position data, including altitude monitoring sensor values ​​and measured passenger positions;

[0068] Step S122: Based on the location judgment related parameters and the location parameter interpolation table, fit the weight distribution state of each position in the passenger compartment to obtain the measured passenger position corresponding to the location judgment related parameters, so as to determine the position of the target object.

[0069] In this embodiment, the detection model is a location parameter interpolation table, which is established from historical location data. Specifically, based on detection variables such as different numbers of passengers, different weights of passengers, and passengers distributed in different locations, the height monitoring sensor data under different scenarios, i.e., location judgment related parameters, are obtained through the internal integrated algorithm of the passenger detection controller, thereby establishing the location parameter interpolation table.

[0070] For example, when there are two passengers weighing 60kg in the passenger compartment, and these two passengers are sitting in the driver's seat and the front passenger seat respectively, the height monitoring sensor on the axle will detect the change in the height of the vehicle body when the two passengers sit in the car. At this time, the height monitoring sensor will feed back a position judgment related parameter. The two passengers, each weighing 60kg, driver's seat, front passenger seat, and position judgment related parameter are all historical position data. In this way, multiple sets of historical position data that can cover all riding scenarios can be obtained, and a position parameter interpolation table can be established.

[0071] It should be noted that during the acquisition of historical location data, due to the significant range of different variables, it is possible to set segment ranges for the variables to collect and establish historical location data. The segment range or amplitude can be set according to requirements and is not specifically limited here. For example, passenger weight can be set to a range of (10kg-200kg), with weight information divided into increments of 10kg, gradually increasing to cover all weight scenarios. The amplitude division of other variables is basically the same and will not be elaborated further. This amplitude division improves the efficiency of historical location data collection.

[0072] Based on the location judgment parameters and the location parameter interpolation table, the weight distribution of each position in the passenger compartment is fitted. The position where the weight distribution is concentrated is the location of the passenger or item. Specifically, the currently acquired location judgment parameters are input into the location parameter interpolation table for fitting and matching, which can obtain the measured passenger position corresponding to the location judgment parameters. This measured passenger position is the position that causes the change in vehicle height, which is also the position of the target object determined above. At this time, it is not known whether the weight change at this position is caused by the passenger. Therefore, it is necessary to further determine whether the target object causing the height change is a passenger in order to realize the passenger detection in the passenger compartment.

[0073] Step S20: Obtain image features inside the passenger compartment, determine whether the image features of the target object are human features, if so, determine that the target object is a passenger, and record the position of the target object so that the vehicle's safety protection system can execute corresponding safety protection strategies for the passenger at the position.

[0074] In this embodiment, after determining the location causing the change in vehicle height, the target object causing the weight change at that location is further analyzed to determine whether it was caused by a passenger. This allows for the detection of the location information of each passenger in the passenger compartment, ensuring the safety of each passenger. Specifically, image features within the passenger compartment are acquired through analysis of images captured by cameras within the passenger compartment. The image features are analyzed to determine whether the object corresponding to the image is a person or a passenger. If it is a person or a passenger, the person's features can be analyzed from the image features. Therefore, if the person's features are determined, the target object can be identified as a passenger, thus allowing for more precise detection of the passenger and subsequent safety measures.

[0075] Further, the step of acquiring image features within the passenger cabin, determining whether the image features of the target object are human features, and if so, identifying the target object as a passenger and recording the location of the target object so that the vehicle's safety protection system can execute corresponding safety protection strategies for passengers at that location, includes:

[0076] Step S21: Obtain image features inside the crew cabin, the image features being acquired by a camera inside the crew cabin;

[0077] Step S22: Analyze the key feature points in the image features to determine whether the image features are human features;

[0078] Step S23: If yes, then determine that the target object is a passenger, record the location of the target object, so that the vehicle's safety protection system can execute the corresponding safety protection strategy for the passenger at the location.

[0079] In this embodiment, image features inside the passenger compartment are acquired, and image processing algorithms are used to analyze these features to determine if they represent human figures. If so, the target object is identified as a passenger. By comprehensively analyzing the positional parameters detected by the altitude monitoring sensor and the image features, the passenger inside the passenger compartment and their location can be accurately detected. The passenger's location is recorded, and based on this location information and the vehicle's safety protection system, appropriate safety protection strategies can be implemented for that passenger.

[0080] It should be noted that during the analysis process, key feature points can be set first. These key feature points have a significant impact on image recognition, and by identifying and analyzing them, the target object can be directly identified as a person or object. Secondary feature points can also be set. These secondary feature points also play an important role in image recognition and analysis, but their impact on recognition is lower than that of key feature points. They assist key feature points in image recognition and analysis, quickly identifying the target object. For example, facial features can be set as key feature points, and secondary feature points such as pupils and cheekbones can be set within facial features. By combining the analysis of key and secondary feature points, the object being analyzed can be identified as a person with human characteristics. To further confirm the identity, the recognition of specific points such as hand movements can be set to improve the accuracy of image processing.

[0081] Further, after the step of parsing the key feature points in the image features to determine whether the image features are human features, the method includes:

[0082] Step S24: If not, then determine that the target object is an item, and execute the step of obtaining position judgment-related parameters when a change in vehicle height is detected, and preliminarily determining the position of the target object based on the judgment-related parameters, and continue to detect passengers in the passenger compartment.

[0083] In this embodiment, if the features obtained after image feature recognition and analysis are not human features, it means that the target object is not a passenger, but could be an object placed there. In this case, the step of obtaining position judgment parameters when a change in vehicle height is detected, and preliminarily determining the position of the target object based on the judgment parameters, continues to detect passengers in the passenger compartment. When the position of passengers in the passenger compartment changes, the height monitoring sensor will also collect corresponding data to continue monitoring the position of passengers and provide adaptive safety protection for passengers.

[0084] The step of recording the location of the target object so that the vehicle's safety protection system can execute corresponding safety protection strategies for passengers at that location includes:

[0085] Step A1: Record the position of the target object;

[0086] Step A2: Obtain the security protection signal of the location. If the security protection signal is a non-protection signal, output a security warning message.

[0087] In this embodiment, the safety protection strategy includes safety warnings, recording the location of the target object, obtaining the safety protection signal at that location, and if the safety protection signal is a non-protection signal, it indicates that the passenger at that location is not in a safety protection state. At this time, a safety warning message is output to remind the passenger.

[0088] As an example, when the safety protection strategy requires passengers to wear seat belts, the system records the passenger's location and obtains the seat belt wearing signal of the passenger at that location. If the passenger is not wearing a seat belt, a safety warning message is output to remind the passenger to wear a seat belt.

[0089] As an example, when the safety protection strategy is the configuration of airbags and airbag protection in emergency situations, the passenger's location is recorded, and the airbag configuration signal at that location is obtained. If it is already configured, in an emergency, the airbag at that location is precisely deployed based on the detected passenger location to provide precise protection for the passenger and reduce collision injuries.

[0090] In this embodiment, the steps include: when a change in vehicle height is detected, acquiring position determination parameters, and preliminarily determining the position of a target object based on the determination parameters, wherein the target object is the factor causing the change in vehicle height; acquiring image features inside the passenger compartment, determining whether the image features of the target object are human features, and if so, determining that the target object is a passenger, and recording the position of the target object so that the vehicle's safety protection system can execute corresponding safety protection strategies for the passenger at that position; through the above method, the weight distribution of different seats on the vehicle is detected based on the height monitoring sensor of the vehicle chassis, and combined with the vehicle-mounted camera, it is possible to detect whether each seat is occupied by a passenger or stacked items. By fusing the signals from the height monitoring sensor and the camera, passengers at each position can be accurately detected, greatly improving the robustness of the system, avoiding missed detections or false detections, and reducing the overall hardware cost of the vehicle.

[0091] Reference Figure 3 The first embodiment of the passenger detection method for the passenger cabin of the present invention provides a passenger detection device for the passenger cabin, based on the above. Figure 3 In the embodiment shown, the passenger detection device in the passenger compartment includes:

[0092] The preliminary judgment module 10 is used to acquire position judgment-related parameters when a change in vehicle height is detected, and to preliminarily determine the position of the target object based on the judgment-related parameters, wherein the target object is the factor causing the change in vehicle height;

[0093] The determination module 20 is used to acquire image features inside the passenger compartment, determine whether the image features of the target object are human features, and if so, determine that the target object is a passenger and record the position of the target object so that the vehicle's safety protection system can execute corresponding safety protection strategies for the passenger at the position.

[0094] Preferably, the preliminary judgment module includes:

[0095] The first acquisition submodule is used to acquire position determination related parameters when a change in vehicle height is detected. The position determination related parameters are measured by a height monitoring sensor installed on the axle.

[0096] The determination submodule is used to initially determine the location of the target object based on a preset detection model and the location judgment-related parameters.

[0097] Preferably, the determining submodule includes:

[0098] The acquisition subunit is used to acquire the position parameter interpolation table, which is established from historical position data, including altitude monitoring sensor values ​​and measured passenger positions.

[0099] A subunit is defined to fit the weight distribution state of each position in the passenger compartment based on the position judgment related parameters and the position parameter interpolation table, so as to obtain the measured passenger position corresponding to the position judgment related parameters and thus determine the position of the target object.

[0100] Preferably, the determining module includes:

[0101] The second acquisition submodule is used to acquire image features inside the crew cabin, which are obtained by a camera inside the crew cabin.

[0102] The parsing submodule is used to parse the key feature points in the image features and determine whether the image features are human features;

[0103] The recording submodule is used to determine if the target object is a passenger and record the location of the target object so that the vehicle's safety protection system can execute corresponding safety protection strategies for passengers at the location.

[0104] Preferably, the determining module includes:

[0105] The determination submodule is used to determine that the target object is an item if no, and to perform the step of obtaining position determination-related parameters when a change in vehicle height is detected, and preliminarily determining the position of the target object based on the determination-related parameters, and continuing to detect passengers in the passenger compartment.

[0106] Preferably, the recording submodule includes:

[0107] A recording subunit is used to record the position of the target object;

[0108] The output subunit is used to acquire the safety protection signal of the location. If the safety protection signal is a non-protection signal, a safety warning message is output.

[0109] Preferably, the device further includes:

[0110] The connection module, wherein the passenger detection method for the passenger cabin is applied to the passenger detection controller, is used to connect the passenger detector to the altitude monitoring sensor, the camera, and the passenger detection controller.

[0111] In addition, this application also provides passenger detection equipment for the crew cabin. For example... Figure 1 As shown, Figure 1 This is a schematic diagram of the hardware operating environment involved in the embodiments of this application.

[0112] Furthermore, embodiments of the present invention also propose a computer-readable storage medium storing a passenger detection program for the passenger cabin, wherein the passenger detection program for the passenger cabin, when executed by a processor, implements the steps of the passenger cabin detection method as described above.

[0113] The specific implementation of the computer-readable storage medium in this application is basically the same as the embodiments of the above-described passenger detection method in the crew cabin, and will not be repeated here.

[0114] It should be noted that, in this document, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or system that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or system. Unless otherwise specified, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or system that includes that element.

[0115] The sequence numbers of the above embodiments of the present invention are for descriptive purposes only and do not represent the superiority or inferiority of the embodiments.

[0116] Through the above description of the embodiments, those skilled in the art can clearly understand that the methods of the above embodiments can be implemented by means of software plus necessary general-purpose hardware platforms. Of course, they can also be implemented by hardware, but in many cases the former is a better implementation method. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk) as described above, and includes several instructions to cause a terminal device (which may be a mobile phone, computer, server, air conditioner, or network device, etc.) to execute the methods described in the various embodiments of the present invention.

[0117] The above are merely preferred embodiments of the present invention and do not limit the scope of the patent. Any equivalent structural or procedural transformations made based on the description and drawings of the present invention, or direct or indirect applications in other related technical fields, are similarly included within the scope of patent protection of the present invention.

Claims

1. A method for detecting passengers in a passenger compartment, characterized in that, The passenger detection method for the crew cabin includes the following steps: When a change in vehicle height is detected, position determination parameters are acquired. Based on a preset detection model and the determination parameters, the position of the target object is initially determined. The position determination parameters are measured by a height monitoring sensor installed on the axle. The target object is the factor that causes the change in vehicle height. Acquire image features inside the passenger compartment, determine whether the image features of the target object are human features, if so, determine that the target object is a passenger, and record the position of the target object so that the vehicle's safety protection system can execute corresponding safety protection strategies for the passenger at the position; The detection model is a position parameter interpolation table. The step of initially determining the position of the target object based on the preset detection model and the position determination related parameters includes: Obtain the location parameter interpolation table, which is established from historical location data, including altitude monitoring sensor values ​​and measured passenger positions; Based on the location judgment parameters and the location parameter interpolation table, the weight distribution state of each position in the passenger compartment is fitted to obtain the measured passenger position corresponding to the location judgment parameters, so as to determine the position of the target object.

2. The passenger detection method in the passenger cabin as described in claim 1, characterized in that, The steps of acquiring image features inside the passenger compartment, determining whether the image features of the target object are human features, and if so, determining that the target object is a passenger and recording the location of the target object so that the vehicle's safety protection system can execute corresponding safety protection strategies for passengers at that location, include: Image features of the crew cabin are acquired through cameras inside the crew cabin. The key feature points in the image features are analyzed to determine whether the image features are human features. If so, the target object is determined to be a passenger, and the location of the target object is recorded so that the vehicle's safety protection system can execute corresponding safety protection strategies for the passenger at that location.

3. The passenger detection method in the passenger compartment as described in claim 2, characterized in that, After the step of parsing the key feature points in the image features to determine whether the image features are human features, the method includes: If not, the target object is determined to be an item, and the steps of obtaining position determination parameters when a change in vehicle height is detected, and preliminarily determining the position of the target object based on the determination parameters, are performed, and the detection of passengers in the passenger compartment continues.

4. The passenger detection method in the passenger compartment as described in claim 2, characterized in that, The security protection strategy includes security alerts; The step of recording the location of the target object so that the vehicle's safety protection system can execute corresponding safety protection strategies for passengers at that location includes: Record the position of the target object; Obtain the security protection signal at the location; if the security protection signal is a non-protection signal, output a security warning message.

5. The passenger detection method in the passenger compartment as described in claim 1, characterized in that, It is applied to a passenger detection controller, which is connected to a height monitoring sensor and a camera.

6. A passenger detection device for a passenger compartment, characterized in that, The device comprises: The initial judgment module is used to acquire position judgment-related parameters when a change in vehicle height is detected, and to preliminarily determine the position of the target object based on a preset detection model and the judgment-related parameters. The position judgment-related parameters are measured by a height monitoring sensor installed on the axle, and the target object is the factor that causes the change in vehicle height. The determination module is used to acquire image features inside the passenger compartment, determine whether the image features of the target object are human features, and if so, determine that the target object is a passenger and record the position of the target object so that the vehicle's safety protection system can execute corresponding safety protection strategies for the passenger at the position. The detection model is a position parameter interpolation table, and the preliminary judgment module is also used to implement: Obtain the location parameter interpolation table, which is established from historical location data, including altitude monitoring sensor values ​​and measured passenger positions; Based on the location judgment parameters and the location parameter interpolation table, the weight distribution state of each position in the passenger compartment is fitted to obtain the measured passenger position corresponding to the location judgment parameters, so as to determine the position of the target object.

7. A passenger detection device for a passenger cabin, characterized in that, The passenger detection device for the passenger cabin includes: a memory, a processor, and a passenger detection program for the passenger cabin stored in the memory and executable on the processor, wherein the passenger detection program for the passenger cabin, when executed by the processor, implements the steps of the method as described in any one of claims 1 to 5.

8. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a passenger detection program for the passenger cabin, which, when executed by a processor, implements the steps of the passenger cabin detection method as described in any one of claims 1 to 5.

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