CN112214619A - Article information acquisition method, vehicle machine and vehicle - Google Patents

Article information acquisition method, vehicle machine and vehicle Download PDF

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Publication number
CN112214619A
CN112214619A CN201910626562.XA CN201910626562A CN112214619A CN 112214619 A CN112214619 A CN 112214619A CN 201910626562 A CN201910626562 A CN 201910626562A CN 112214619 A CN112214619 A CN 112214619A
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China
Prior art keywords
vehicle
information
article
image information
lost
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CN201910626562.XA
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Chinese (zh)
Inventor
张仁建
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Shanghai Pateo Electronic Equipment Manufacturing Co Ltd
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Shanghai Pateo Electronic Equipment Manufacturing Co Ltd
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Priority to CN201910626562.XA priority Critical patent/CN112214619A/en
Publication of CN112214619A publication Critical patent/CN112214619A/en
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/50Information retrieval; Database structures therefor; File system structures therefor of still image data
    • G06F16/53Querying
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/50Information retrieval; Database structures therefor; File system structures therefor of still image data
    • G06F16/55Clustering; Classification
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/50Information retrieval; Database structures therefor; File system structures therefor of still image data
    • G06F16/58Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
    • G06F16/5866Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using information manually generated, e.g. tags, keywords, comments, manually generated location and time information

Abstract

The application provides an article information obtaining method, a vehicle machine and a vehicle, wherein when the vehicle machine receives a vehicle unlocking signal, first article image information and the number of passengers in the vehicle are obtained; when the number of passengers in the vehicle is increased, acquiring image information of the people in the vehicle at the moment; when the number of passengers in the vehicle is reduced, acquiring image information of a second item in the vehicle; comparing the second article image information with the first article image information; screening out inconsistent article information when the second article image information is inconsistent with the first article image information; and sending lost information to a server, wherein the lost information comprises the image information of the people in the vehicle, the vehicle information and inconsistent article information. According to the method and the system, the object image information and the figure image information in the vehicle are respectively detected according to the vehicle door unlocking signal and the number of passengers in the vehicle, the increased or decreased object information is corresponding to the corresponding figure image information through image analysis, and the object information is sent to the server platform, so that the lost object can be conveniently found.

Description

Article information acquisition method, vehicle machine and vehicle
Technical Field
The application relates to the technical field of vehicle information service, in particular to an article information acquisition method, and a vehicle machine and a vehicle applying the article information acquisition method.
Background
In life, the event of losing articles in a car happens all the time, and the process of retrieving the lost articles is troublesome, whether for the finder or the lost person. The recovery process is often accompanied by contact between the two parties, the acquisition and presentation of evidence, and the need for intervention by a third party.
With the upgrading of consumption, the operating vehicles are divided into economical, comfortable and luxurious types, and the higher the class type is, the better riding service is enjoyed, which is not limited to the space in the vehicle, the comfort level and the service attitude of the vehicle owner, and the more important the auxiliary functions in the vehicle, such as the information of articles carried by passengers. On the other hand, the articles in the vehicle should be well protected.
Therefore, in order to solve the above problems, the inventors of the present application have studied and proposed an article information acquisition method, a vehicle-mounted device, and a vehicle.
Disclosure of Invention
In view of the above, an object of the present invention is to provide an article information acquiring method, a vehicle, and a vehicle, wherein article image information and person image information in the vehicle are detected according to a vehicle unlocking signal and a state of the number of passengers in the vehicle, and the article image information is divided into article image information before the passengers get on the vehicle and article image information after the passengers get off the vehicle, and then the increased or decreased article information is associated with the corresponding person image information through image analysis, and the information is integrated and then sent to a server platform, so that a loser can query through various terminals of the server platform, thereby greatly facilitating the retrieval of the lost articles.
In order to achieve the above technical effects, the present application provides an article information acquiring method, as one embodiment, the article information acquiring method includes: when a vehicle unlocking signal is received, acquiring image information of a first article in the vehicle and the number of passengers; when the number of the passengers in the vehicle is increased, acquiring the image information of the people in the vehicle at the moment; when the number of passengers in the vehicle is reduced, acquiring image information of a second item in the vehicle; comparing the second article image information with the first article image information;
screening out inconsistent article information when the second article image information is inconsistent with the first article image information; and sending lost information to a server, wherein the lost information comprises the image information of the people in the vehicle, the vehicle information and the inconsistent article information.
As one of the embodiments, the first article image information and the second article image information include at least one of trunk article image information, vehicle rear space article image information, and passenger compartment article image information.
As one embodiment, the step of acquiring the image information of the first item and the number of passengers in the vehicle when receiving the door unlock signal includes: when a vehicle unlocking signal is received, and when the biological characteristic information of a non-driver does not exist in the vehicle, acquiring the image information of each area of the vehicle; and integrating image information of each area of the vehicle to generate image information of a first article in the vehicle.
As one embodiment, the step of screening out inconsistent article information when the second article image information is inconsistent with the first article image information further includes: when the articles included in the second article image information are more than the articles included in the first article image information, marking the inconsistent article information as the lost articles to be received; and/or when the articles included in the second article image information are less than the articles included in the first article image information, marking the inconsistent article information as the lost article to be retrieved.
As one embodiment, the step of screening out inconsistent article information when the second article image information is inconsistent with the first article image information further includes: and updating the first article image information by the second article image information.
As one embodiment, after the step of sending the missing information to the server, the method further includes: and receiving lost article identification information sent by the server after the lost information is acquired, wherein the lost article identification information comprises a contact way of the owner.
As one embodiment, after the step of sending the missing information to the server, the method further includes: acquiring lost article identification information, wherein the lost article identification information comprises a contact way of a loser; and when the lost article identification information is received, sending reminding information to the vehicle owner. Searching an alarm center closest to the vehicle; and sending the position of the alarm center closest to the vehicle to the owner.
In one embodiment, in the article information acquiring method, the number of passengers is acquired by pressure sensor detection, infrared image detection, and/or video image recognition.
In order to solve the technical problem, the present application further provides a car machine, as one of the implementation manners, the car machine includes a processor, and the processor is configured to execute program data to implement the article information obtaining method.
As one of the implementation modes, the vehicle machine is provided with a vehicle machine communication module, and the vehicle machine communication module supports a CAN bus, a 3G network, a 4G network, a 5G network, a WIFI network and/or Bluetooth.
In order to solve the technical problem, the application further provides a vehicle, and the vehicle is provided with the vehicle machine.
According to the article information obtaining method, the vehicle machine and the vehicle, the article image information and the figure image information in the vehicle are respectively detected according to the vehicle unlocking signal and the number of passengers in the vehicle, the article image information is divided into the article image information before the passengers get on the vehicle and the article image information after the passengers get off the vehicle, the increased or decreased article information corresponds to the corresponding figure image information through image analysis, the information is sent to the server platform after being integrated, a loser can inquire through various terminals of the server platform, and the lost articles are greatly convenient to search.
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Fig. 1 is a schematic flow chart of an embodiment of an article information acquisition method according to the present application.
Fig. 2 is a schematic diagram of a vehicle machine according to the present application.
Detailed Description
To further clarify the technical measures and effects adopted by the present application to achieve the intended purpose, the following detailed description of the embodiments, methods, steps, features and effects of the present application will be made with reference to the accompanying drawings and preferred embodiments.
The foregoing and other technical matters, features and effects of the present application will be apparent from the following detailed description of preferred embodiments, which is to be read in connection with the accompanying drawings. While the present application has been described in terms of specific embodiments and examples for achieving the desired objects and objectives, it is to be understood that the invention is not limited to the disclosed embodiments, but is to be accorded the widest scope consistent with the principles and novel features as defined by the appended claims.
Referring to fig. 1, fig. 1 is a schematic flow chart of an embodiment of an article information obtaining method according to the present application.
The article information acquiring method according to the present embodiment may include, but is not limited to, the following steps:
step S1: and when the vehicle unlocking signal is received, acquiring the image information of the first article in the vehicle and the number of passengers.
It should be noted that the in-vehicle first item image information in step S1 represents the in-vehicle item information when the operating vehicle is not carrying passengers. Therefore, it is necessary to acquire the image information of the article when the vehicle is empty, that is, when the vehicle unlocking signal is received, the image information of the first article in the vehicle is acquired.
However, often the driver may not sit in the driving position after the vehicle is unlocked, and may put his/her own articles into the vehicle by opening the door of the non-driving position, in order to prevent the false detection when this occurs, in one embodiment, step S1 may be, but is not limited to: and when the vehicle unlocking signal is received and a person is detected in the vehicle driving position, the image information of the first article in the vehicle and the number of passengers are obtained. It is worth mentioning that, here, the person may detect the driving position of the vehicle by arranging a pressure sensor at the driving position of the vehicle, or by image acquisition detection or video acquisition detection.
In one embodiment, step S1: when the vehicle unlocking signal is received, the first article image information in the acquired first article image information and the first article image information in the passenger number comprise at least one of trunk article image information, vehicle rear-empty compartment article image information and passenger seat article image information. It should be noted that in the present embodiment, the article image information may be acquired by an infrared image detection technique and/or an image recognition technique.
For the generation of the first item image information, in another embodiment, step S1: when the vehicle unlocking signal is received, the step of acquiring the image information of the first article in the vehicle and the number of passengers comprises the following steps: when a door unlocking signal is received and biological characteristic information of a non-driver does not exist in the vehicle, acquiring image information of each area of the vehicle; and integrating image information of each area of the vehicle to generate image information of a first article in the vehicle.
In more detail, in another embodiment, step S1: when the vehicle unlocking signal is received, the step of acquiring the image information of the first article in the vehicle and the number of passengers comprises the following steps: when a door unlocking signal is received and biological characteristic information of a non-driver does not exist in the vehicle, acquiring image information of each area of the vehicle; and integrating image information of each area of the vehicle, and adding a first time watermark and a first GPS position information watermark to generate image information of a first article in the vehicle. By adding more detailed information, more sufficient evidence can be provided.
Step S2: when the number of passengers in the vehicle increases, the image information of the people in the vehicle at the moment is acquired.
It is worth to be noted that the number of passengers in the vehicle can be detected by a pressure sensor, an infrared image, or the like, or can be detected accurately by comprehensive application of a plurality of detection methods. For example, in one embodiment, the number of passengers is obtained by pressure sensor detection, infrared image detection, and/or video image recognition. The misjudgment of passengers and articles can be solved through the comprehensive application of various means, for example, the sum of the pressure sensors in the vehicle is detected and infrared image detection is carried out, and under the condition that the sum of the pressure sensors in the vehicle is increased, the infrared image detection is carried out to further detect whether the infrared wavelength which is in line with the human body exists. Specifically, the in-vehicle pressure sensors may be disposed in the seat and the area below the seat, and the misjudgment of the image capturing time point occurring when the passenger adjusts the posture in the vehicle can be avoided by providing the pressure sensors in the areas and using the sum of the detection values of the pressure sensors as the basis. Therefore, in one embodiment, step S2 may be: when the sum of the detection values of the pressure sensors in the vehicle is increased and the infrared wavelength which accords with the human body exists in the non-driving area, the image information of the human body in the vehicle at the moment is acquired, and the pressure sensors are arranged in the standing area below the seat and the seat in the vehicle.
Step S3: when the number of passengers in the vehicle is reduced, image information of a second article in the vehicle is acquired.
Note that, in step S2: when the number of passengers in the vehicle is reduced, the image information of the second article in the vehicle is obtained, wherein the image information of the second article in the vehicle comprises at least one of the image information of a trunk article, the image information of an article in a rear empty space of the vehicle and the image information of an article in a front passenger space. Namely, the acquisition area of the first article image information is consistent with the acquisition area of the second article image information. In one embodiment, step S2: when the sum of the detection values of the in-vehicle pressure sensors is reduced, the method for acquiring the image information of the in-vehicle second object comprises the following steps: and adding a second time watermark and a second GPS position information watermark on the second article image information.
Step S4: and comparing the second article image information with the first article image information.
Step S5: and screening out inconsistent article information when the second article image information is inconsistent with the first article image information.
In one embodiment, step S5: when the second article image information is inconsistent with the first article image information, screening out inconsistent article information further comprises: when the articles included in the second article image information are more than the articles included in the first article image information, marking inconsistent article information as the lost articles to be received; and/or when the second article image information comprises less articles than the first article image information, marking inconsistent article information as the lost article to be retrieved. It is worth mentioning that the lost articles can be prevented from being repeatedly uploaded to the server by informationally labeling the inconsistent articles, and automatic duplicate removal processing can be performed when the driver does not find the lost articles in time. And the classification of the articles can be well carried out on the server by classifying the inconsistent articles, such as the articles to be picked and the articles to be retrieved.
In another embodiment, step S5: when the second article image information is inconsistent with the first article image information, screening out inconsistent article information further comprises: and updating the first article image information by the second article image information.
Step S6: and sending lost information to a server, wherein the lost information comprises the image information of the people in the vehicle, the vehicle information and inconsistent article information.
Note that, in one embodiment, step S6: sending lost information to a server, wherein the lost information comprises in-vehicle figure information, vehicle information and inconsistent article information and then further comprises: and receiving lost article identification information sent by the server after acquiring the lost information, wherein the lost article identification information comprises a contact way of the owner.
In another embodiment, step S6: sending lost information to a server, wherein the lost information comprises in-vehicle figure information, vehicle information and inconsistent article information and then further comprises: acquiring lost article identification information, wherein the lost article identification information comprises a contact way of a loser; and when the lost article identification information is received, sending reminding information to the vehicle owner. Searching an alarm center closest to the vehicle; and sending the position of the alarm center closest to the vehicle to the owner.
In addition, the method can perform overlay search by networking of the commercial vehicles, for example, in one embodiment, step S6: sending lost information to a server, wherein the lost information comprises in-vehicle figure information, vehicle information and inconsistent article information and then further comprises: transmitting the loss information to other vehicles in the Internet of vehicles system through wireless communication; and when the request information of other vehicles is received, the vehicles communicate in real time through the Internet of vehicles. In this case, the passenger of the lost article can search for other vehicles in the nearby internet of vehicles system, and search and retrieve the information of the lost article on the vehicle.
According to the article information acquisition method provided by the embodiment, the article image information and the figure image information in the vehicle are respectively detected according to the vehicle unlocking signal and the number of passengers in the vehicle, the article image information is divided into the article image information before the passengers get on the vehicle and the article image information after the passengers get off the vehicle, the increased or decreased article information is corresponding to the corresponding figure image information through image analysis and is sent to the server platform after information integration, and a loser can inquire through various terminals of the server platform, so that the lost article can be greatly found conveniently.
Referring to fig. 2, the present application further provides a cart machine, as an implementation manner, the cart machine includes a memory 20 and a processor 21, the memory 20 stores a computer program, and the processor 21 is configured to execute the computer program, so as to implement the steps of the article information obtaining method.
In one embodiment, the vehicle machine is provided with a vehicle machine communication module, and the vehicle machine communication module supports a CAN bus, a 3G network, a 4G network, a 5G network, a WIFI network and/or Bluetooth.
The car machine provided by the embodiment detects the object image information and the figure image information in the car respectively according to the state of the car unlocking signal and the number of passengers in the car, the object image information is divided into the object image information before the passengers get on the car and the object image information after the passengers get off the car, the increased or decreased object information corresponds to the corresponding figure image information through image analysis, the information is integrated and then sent to the server platform, the owner can inquire through various terminals of the server platform, and the lost objects are greatly convenient to retrieve.
With continuing reference to fig. 2 and the embodiments thereof, the present application further provides a vehicle, which is configured with the vehicle machine as above as one of the embodiments.
It should be noted that, in the present embodiment, both the vehicle and the vehicle may employ a WIFI technology or a 5G technology, for example, a 5G internet of vehicles network is used to implement network connection between the vehicles and the vehicle, the 5G technology employed in the present embodiment may be a technology oriented to scenization, the application utilizes the 5G technology to play a key support role for the vehicle, and it implements connection of people, objects or vehicles at the same time, and may specifically employ the following three typical application scenarios.
The first is eMBB (enhanced Mobile Broadband), so that the user experience rate is 0.1-1 gpbs, the peak rate is 10gbps, and the traffic density is 10Tbps/km 2;
for the second ultra-reliable low-delay communication, the main index which can be realized by the method is that the end-to-end time delay is in the ms (millisecond) level; the reliability is close to 100%;
the third is mMTC (mass machine type communication), and the main index which can be realized by the application is the connection number density, 100 ten thousand other terminals are connected per square kilometer, and the connection number density is 10^6/km 2.
Through the mode, the characteristics of the super-reliable of this application utilization 5G technique, low time delay combine for example radar and camera etc. just can provide the ability that shows for the vehicle, can realize interdynamic with the vehicle, utilize the interactive perception function of 5G technique simultaneously, and the user can do an output to external environment, and the unable light can detect the state, can also do some feedbacks etc.. Further, the present application may also be applied to cooperation of automatic driving, such as vehicle formation and the like.
In addition, the communication enhancement automatic driving perception capability can be achieved by utilizing the 5G technology, and the requirements of passengers in the automobile on AR (augmented reality)/VR (virtual reality), games, movies, mobile office and other vehicle-mounted information entertainment and high precision can be met. For example, in the case of high-speed driving, when the rear passenger has abnormal behavior, the normal driving of the vehicle can be ensured through automatic driving intervention. According to the method and the device, the downloading amount of the 3D high-precision positioning map at the centimeter level can be 3-4 Gb/km, the data volume of the map per second under the condition that the speed of a normal vehicle is limited to 120km/h (kilometer per hour) is 90 Mbps-120 Mbps, and meanwhile, the real-time reconstruction of a local map fused with vehicle-mounted sensor information, modeling and analysis of dangerous situations and the like can be supported.
In the present application, the above-mentioned article information acquiring method may be used in a vehicle system having a vehicle equipment or a vehicle TBOX, and may be connected to a CAN bus of the vehicle.
In one embodiment, the CAN bus may include three network channels CAN _1, CAN _2, and CAN _3, and the vehicle may further include one ethernet network channel, where the three CAN network channels may be connected to the ethernet network channel through two in-vehicle networking gateways, for example, where the CAN _1 network channel includes a hybrid powertrain system, where the CAN _2 network channel includes an operation support system, where the CAN _3 network channel includes an electric dynamometer system, and the ethernet network channel includes a high-level management system, where the high-level management system includes a human-vehicle-road simulation system and a comprehensive information collection unit connected as nodes to the ethernet network channel, and the in-vehicle networking gateways of the CAN _1 network channel, the CAN _2 network channel, and the ethernet network channel may be integrated in the comprehensive information collection unit; the car networking gateway of the CAN _3 network channel and the Ethernet network channel CAN be integrated in a man-car-road simulation system.
Further, the nodes connected to the CAN _1 network channel include: an engine ECU (Electronic Control Unit), a motor MCU, a BATTERY BMS (BATTERY MANAGEMENT SYSTEM, a BATTERY management system), an automatic Transmission TCU (Transmission Control Unit), and a hybrid processor HCU (hybrid vehicle Control Unit); the nodes connected with the CAN _2 network channel are as follows: the system comprises a rack measurement and control system, an accelerator sensor group, a power analyzer, an instantaneous oil consumption instrument, a direct-current power supply cabinet, an engine water temperature control system, an engine oil temperature control system, a motor water temperature control system and an engine intercooling temperature control system; the nodes connected with the CAN _3 network channel are as follows: an electric dynamometer processor.
The speed of the preferable CAN _1 network channel is 250Kbps, and a J1939 protocol is adopted; the rate of the CAN _2 network channel is 500Kbps, and a CANopen protocol is adopted; the rate of the CAN _3 network channel is 1Mbps, and a CANopen protocol is adopted; the rate of the Ethernet network channel is 10/100Mbps, and a TCP/IP protocol is adopted.
In one embodiment, the vehicle networking gateway may be equipped with an IEEE802.3 interface, a DSPI interface, an eSCI interface, a CAN interface, an MLB interface, a LIN interface, and/or an I2C interface.
In one embodiment, for example, the IEEE802.3 interface may be used to connect to a wireless router to provide a WIFI network for the entire vehicle; the DSPI (provider manager component) interface is used for connecting a Bluetooth adapter and an NFC (near field communication) adapter and can provide Bluetooth connection and NFC connection; the eSCI interface is used for connecting the 4G/5G module and communicating with the Internet; the CAN interface is used for connecting a vehicle CAN bus; the MLB interface is used for connecting an MOST (media oriented system transmission) bus in the vehicle, and the LIN interface is used for connecting a LIN (local interconnect network) bus in the vehicle; the IC interface is used for connecting a DSRC (dedicated short-range communication) module and a fingerprint identification module. In addition, the application can merge different networks by mutually converting different protocols by adopting the MPC5668G chip.
In addition, in the vehicle TBOX system, Telematics BOX in the present embodiment is simply referred to as a vehicle TBOX or a Telematics.
Telematics is a synthesis of Telecommunications and information science (information) and is defined as a service system that provides information through a computer system, a wireless communication technology, a satellite navigation device, and an internet technology that exchanges information such as text and voice, which are built in a vehicle. In short, the vehicle is connected to the internet (vehicle networking system) through a wireless network, and various information necessary for driving and life is provided for the vehicle owner.
In addition, Telematics is a combination of wireless communication technology, satellite navigation system, network communication technology and vehicle-mounted computer, when a fault occurs during vehicle running, the vehicle is remotely diagnosed by connecting a service center through wireless communication, and the computer built in the engine can record the state of main parts of the vehicle and provide accurate fault position and reason for maintenance personnel at any time. The vehicle can receive information and check traffic maps, road condition introduction, traffic information, safety and public security services, entertainment information services and the like through the user communication terminal, and in addition, the vehicle of the embodiment can be provided with electronic games and network application in a rear seat. It is easy to understand that, this embodiment provides service through Telematics, can convenience of customers know traffic information, the parking stall condition that closes on the parking area, confirms current position, can also be connected with the network server at home, in time knows the electrical apparatus running condition at home, the safety condition and guest condition of visiting and richen back row passenger's time of riding and so on.
In one embodiment, the vehicle may further be provided with an ADAS (Advanced Driver assistance System) which may collect environmental data inside and outside the vehicle at the first time by using the various sensors mounted on the vehicle, and perform technical processes such as identification, detection, tracking, and the like of static and dynamic objects, so that a Driver can perceive a possible danger at the fastest time to attract attention and improve safety. Correspondingly, the ADAS of the present application may also employ sensors such as radar, laser, and ultrasonic sensors, which can detect light, heat, pressure, or other variables for monitoring the state of the vehicle, and are usually located on the front and rear bumpers, side view mirrors, the inside of the steering column, or on the windshield of the vehicle. It is obvious that various intelligent hardware used by the ADAS function can be accessed to the car networking system by means of an ethernet link to realize communication connection and interaction.
The host computer of the present embodiment vehicle may comprise suitable logic, circuitry, and/or code that may enable operation and/or functional operation of the five layers above the OSI model (Open System Interconnection, Open communication systems Interconnection reference model). Thus, the host may generate and/or process packets for transmission over the network, and may also process packets received from the network. At the same time, the host may provide services to a local user and/or one or more remote users or network nodes by executing corresponding instructions and/or running one or more applications. In various embodiments of the present application, the host may employ one or more security protocols.
In one embodiment, the network connection for the vehicle networking system may be a switch, which may have AVB functionality (Audio Video brightening, meeting the IEEE802.1 set of standards), and/or may include one or more unshielded twisted pair wires, each of which may have an 8P8C module connector.
In a preferred embodiment, the vehicle networking system specifically comprises a vehicle body control module BCM, a power bus P-CAN, a vehicle body bus I-CAN, a combination meter CMIC, a chassis control device and a vehicle body control device.
In this embodiment, the body control module BCM may integrate the functions of the car networking gateway to perform signal conversion, message forwarding, and the like between different network segments, i.e., the power bus P-CAN and the body bus I-CAN, for example, if a processor connected to the power bus needs to communicate with a processor connected to the body bus I-CAN, the body control module BCM may perform signal conversion, message forwarding, and the like between the two processors.
The power bus P-CAN and the vehicle body bus I-CAN are respectively connected with a vehicle body control module BCM.
The combination instrument CMIC is connected with a power bus P-CAN, and the combination instrument CMIC is connected with a vehicle body bus I-CAN. Preferably, the combination meter CMIC of the present embodiment is connected to different buses, such as a power bus P-CAN and a vehicle body bus I-CAN, and when the combination meter CMIC needs to acquire processor information that is attached to any bus, it is not necessary to perform signal conversion and message forwarding through a vehicle body control module BCM, so that gateway pressure CAN be reduced, network load CAN be reduced, and the speed of acquiring information by the combination meter CMIC CAN be increased.
The chassis control device is connected with the power bus P-CAN. The vehicle body control device is connected with a vehicle body bus I-CAN. In some examples, the chassis control device and the vehicle body control device CAN respectively broadcast data such as information to the power bus P-CAN and the vehicle body bus I-CAN, so that other vehicle-mounted processors and other devices hung on the power bus P-CAN or the vehicle body bus I-CAN CAN acquire the broadcast information, and communication between the vehicle-mounted devices such as different processors is realized.
In addition, in the car networking system of the vehicle of the embodiment, two CAN buses, namely a power bus P-CAN and a car body bus I-CAN, CAN be used, the car body control module BCM is used as a gateway, and the structure that the combination instrument CMIC is connected with both the power bus P-CAN and the car body bus I-CAN is adopted, so that the operation that information of a chassis control device or a car body control device is forwarded to the combination instrument CMIC through the gateway when the combination instrument CMIC is hung on one of the two buses in the traditional mode CAN be omitted, therefore, the pressure of the car body control module BCM as the gateway is reduced, the network load is reduced, and information of vehicle-mounted equipment hung on a plurality of buses, such as the power bus P-CAN and the car body bus I-CAN, CAN be more conveniently sent to the combination instrument CMIC for display and information transmission in real-time
According to the vehicle provided by the embodiment, the object image information and the figure image information in the vehicle are respectively detected according to the vehicle unlocking signal and the number of passengers in the vehicle, the object image information is divided into the object image information before the passengers get on the vehicle and the object image information after the passengers get off the vehicle, the increased or decreased object information corresponds to the corresponding figure image information through image analysis, the information is integrated and then sent to the server platform, and a loser can inquire the information through various terminals of the server platform, so that the lost object can be greatly found.
The preferred embodiments of the present invention have been described in detail with reference to the accompanying drawings, but the present invention is not limited to the specific details of the above embodiments, and various simple modifications can be made to the technical solution of the present invention within the technical idea of the present invention, and these simple modifications are within the protective scope of the present invention. The various features described in the foregoing detailed description may be combined in any suitable manner without departing from the scope of the invention. The invention is not described in detail in order to avoid unnecessary repetition.

Claims (10)

1. An article information acquisition method, characterized by comprising the steps of:
when a vehicle unlocking signal is received, acquiring image information of a first article in the vehicle and the number of passengers;
when the number of the passengers in the vehicle is increased, acquiring the image information of the people in the vehicle at the moment;
when the number of passengers in the vehicle is reduced, acquiring image information of a second item in the vehicle;
comparing the second article image information with the first article image information;
screening out inconsistent article information when the second article image information is inconsistent with the first article image information;
and sending lost information to a server, wherein the lost information comprises the image information of the people in the vehicle, the vehicle information and the inconsistent article information.
2. The article information acquisition method according to claim 1, wherein the first article image information and the second article image information include at least one of trunk article image information, vehicle rear compartment article image information, and passenger compartment article image information.
3. The item information acquisition method according to claim 1, wherein the step of acquiring the first item image information and the number of passengers in the vehicle upon receiving the vehicle unlock signal includes:
when a vehicle unlocking signal is received, and when the biological characteristic information of a non-driver does not exist in the vehicle, acquiring the image information of each area of the vehicle;
and integrating image information of each area of the vehicle to generate image information of a first article in the vehicle.
4. The item information acquisition method according to claim 1, wherein the step of screening out inconsistent item information when the second item image information is inconsistent with the first item image information further comprises:
when the articles included in the second article image information are more than the articles included in the first article image information, marking the inconsistent article information as the lost articles to be received; and/or
And when the articles included in the second article image information are less than the articles included in the first article image information, marking the inconsistent article information as the lost article to be retrieved.
5. The item information acquisition method according to claim 1, wherein the step of screening out inconsistent item information when the second item image information is inconsistent with the first item image information further comprises:
and updating the first article image information by the second article image information.
6. The method for acquiring information on an article according to claim 1, further comprising, after the step of sending the missing information to the server:
and receiving lost article identification information sent by the server after the lost information is acquired, wherein the lost article identification information comprises a contact way of the owner.
7. The method for acquiring information on an article according to claim 1, further comprising, after the step of sending the missing information to the server:
acquiring lost article identification information, wherein the lost article identification information comprises a contact way of a loser;
and when the lost article identification information is received, sending reminding information to the vehicle owner.
Searching an alarm center closest to the vehicle;
and sending the position of the alarm center closest to the vehicle to the owner.
8. The item information acquisition method according to claim 1, wherein the number of passengers is acquired by pressure sensor detection, infrared image detection, and/or video image recognition.
9. A vehicle machine, characterized in that the vehicle machine comprises a processor, and the processor is used for executing program data to realize the article information acquisition method according to any one of claims 1 to 8.
10. A vehicle, characterized in that the vehicle is provided with the vehicle machine according to claim 9.
CN201910626562.XA 2019-07-11 2019-07-11 Article information acquisition method, vehicle machine and vehicle Pending CN112214619A (en)

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CN109685016A (en) * 2018-12-26 2019-04-26 上海理工大学 Cab-getter's lost article fetches system
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CN102343862A (en) * 2010-08-24 2012-02-08 浙江吉利汽车研究院有限公司 Prompting system for articles in trunk of taxicab and control method thereof
CN101937609A (en) * 2010-09-20 2011-01-05 奇瑞汽车股份有限公司 Method and device for reminding passengers of losing goods
CN103247078A (en) * 2013-04-16 2013-08-14 中国电子科技集团公司第二十七研究所 Device and billing method for service allowing passengers to take taxi together
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