WO2022143427A1 - Procédé de détection de conducteur - Google Patents

Procédé de détection de conducteur Download PDF

Info

Publication number
WO2022143427A1
WO2022143427A1 PCT/CN2021/140971 CN2021140971W WO2022143427A1 WO 2022143427 A1 WO2022143427 A1 WO 2022143427A1 CN 2021140971 W CN2021140971 W CN 2021140971W WO 2022143427 A1 WO2022143427 A1 WO 2022143427A1
Authority
WO
WIPO (PCT)
Prior art keywords
driver
information
vehicle
operating vehicle
identity information
Prior art date
Application number
PCT/CN2021/140971
Other languages
English (en)
Chinese (zh)
Inventor
何裕康
梁冠华
毛宁元
许亮
Original Assignee
上海商汤临港智能科技有限公司
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by 上海商汤临港智能科技有限公司 filed Critical 上海商汤临港智能科技有限公司
Publication of WO2022143427A1 publication Critical patent/WO2022143427A1/fr

Links

Images

Classifications

    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B61—RAILWAYS
    • B61L—GUIDING RAILWAY TRAFFIC; ENSURING THE SAFETY OF RAILWAY TRAFFIC
    • B61L23/00—Control, warning or like safety means along the route or between vehicles or trains
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B61—RAILWAYS
    • B61L—GUIDING RAILWAY TRAFFIC; ENSURING THE SAFETY OF RAILWAY TRAFFIC
    • B61L27/00—Central railway traffic control systems; Trackside control; Communication systems specially adapted therefor

Definitions

  • the present disclosure relates to the field of transportation technology, and in particular, to a driver detection method, device, device, vehicle, medium and program product.
  • Rail vehicle drivers include diesel locomotive drivers, electric locomotive drivers, EMU drivers, and urban rail transit vehicle drivers.
  • diesel locomotive drivers, electric locomotive drivers, and EMU drivers are those who are engaged in railway transportation of passengers and goods, and they are the main traffic types in the railway industry; urban rail transit vehicle drivers are engaged in subway and light rail.
  • urban rail transit vehicle drivers are engaged in subway and light rail.
  • the above-mentioned various types of drivers are directly responsible for ensuring the safety of passengers' lives and property. Therefore, the driver management of rail transit is of great significance.
  • the present disclosure provides a driver detection method, device, equipment, vehicle, medium and product, which are used to solve the problem that the driver management of rail transit is affected by the shift of vehicle drivers.
  • the present disclosure provides a driver detection method for an operating vehicle, including:
  • a first safety control is performed on the operating vehicle.
  • the identity information includes at least one of face information, height information, body shape information, and identification information.
  • the detecting, based on the image information, the identity information of the current driver of the operating vehicle includes:
  • determining the current driver of the operating vehicle from the person entering the driving area based on the image information includes:
  • the detection result of the position and/or action it is determined that the person who satisfies the preset relative positional relationship with the driver's seat, or the person who performs a predetermined vehicle start operation is the current driver of the operating vehicle.
  • performing the first safety control on the operating vehicle includes at least one of the following:
  • the method further includes:
  • the method further includes:
  • performing the second safety control on the operating vehicle includes at least one of the following:
  • the determining the identity information of the target driver of the operating vehicle based on the driver scheduling information of the operating vehicle includes:
  • the identity information of the target driver of the operating vehicle is determined based on the adjusted driver schedule information.
  • the method further includes:
  • the operating vehicle is controlled according to the operation of the current driver.
  • the method further includes:
  • the driving environment of the operating vehicle is adjusted according to the driving environment configuration information of the target driver.
  • the driving environment configuration information includes seat position information and/or rearview mirror position information.
  • the present disclosure provides a driver detection device for operating a vehicle, including:
  • the image acquisition module is used to acquire the image information of the driving area of the operating vehicle
  • an identity detection module configured to detect the identity information of the current driver of the operating vehicle based on the image information
  • an identity determining module configured to determine the identity information of the target driver of the operating vehicle based on the driver scheduling information of the operating vehicle
  • a vehicle control module configured to perform a first safety control on the operating vehicle when the identity information of the current driver is inconsistent with the identity information of the target driver.
  • the present disclosure provides an electronic device, comprising: a memory, a processor, and a computer program stored on the memory and executable on the processor, the processor implementing the above-mentioned program when the processor executes the program The driver detection method of the operating vehicle.
  • the present disclosure provides a vehicle in which the electronic device of the third aspect is provided.
  • a camera device is further provided in the vehicle, and the camera device is used to collect image information of the driving area.
  • the present disclosure provides a computer-readable storage medium, where computer-executable instructions are stored in the computer-readable storage medium, and when the computer-executable instructions are executed by a processor, are used to implement the above-mentioned driver detection of an operating vehicle method.
  • the present disclosure provides a computer program product, including a computer program, which, when executed by a processor, implements the above-mentioned method for detecting a driver of an operating vehicle.
  • the driver detection method, device, device, vehicle, medium and product provided by the present disclosure include acquiring image information of the driving area of the operating vehicle; detecting the identity information of the current driver of the operating vehicle based on the image information; The driver scheduling information determines the identity information of the target driver of the operating vehicle; in the case that the identity information of the current driver is inconsistent with the identity information of the target driver, the first safety control is performed on the operating vehicle.
  • the identity information of the current driver is first determined according to the image information of the driving area, and then the identity information of the target driver driving the vehicle is determined in combination with the scheduling information. Determines whether the current driver is the target driver specified by the schedule information.
  • the safety control of the vehicle can avoid the situation that the non-designated driver controls the vehicle, thereby effectively verifying whether the driver is the driver on duty and realizing the safety management of the operating vehicle.
  • the above method can help to automate the management of the drivers of rail transit.
  • FIG. 1 is a schematic flowchart of a method for detecting a driver of an operating vehicle according to an embodiment of the present disclosure.
  • Fig. 2 is a schematic diagram of detecting the identity information of the current driver of the operating vehicle based on image information in an embodiment of the disclosure.
  • FIG. 3 is a schematic diagram of determining the current driver of the operating vehicle from the person entering the driving area based on image information in an embodiment of the present disclosure.
  • FIG. 4 is a schematic structural diagram of a driver detection device for an operating vehicle according to an embodiment of the present disclosure.
  • FIG. 5 is a schematic diagram of an electronic device provided by an embodiment of the present disclosure.
  • FIG. 6 is a schematic diagram of a vehicle according to an embodiment of the present disclosure.
  • the words “if”, “if” as used herein may be interpreted as “at” or “when” or “in response to determining” or “in response to detecting”.
  • the phrases “if determined” or “if detected (the stated condition or event)” can be interpreted as “when determined” or “in response to determining” or “when detected (the stated condition or event),” depending on the context )” or “in response to detection (a stated condition or event)”.
  • Work shift (shift work/shift duty): It refers to the labor collective of several shifts in terms of time based on the division of labor.
  • driver A is responsible for driving from 6 am to 12 noon
  • driver B is responsible for driving from 12 noon to 6 pm
  • driver C is responsible for driving from 6 pm to 11 pm.
  • working shifts can also prevent a single vehicle driver from driving fatigued due to long working hours. If driver A is only responsible for the driving work from 6:00 am to 12:00 noon, the driver A can rest at other times to facilitate the next driving work.
  • Cross-shift The behavior of staff members to carry out work activities in shifts not corresponding to them.
  • driver A is responsible for the driving work from 6:00 am to 12:00 noon
  • driver B is responsible for the driving work from 12:00 noon to 6:00 pm
  • driver C is responsible for the driving work from 6:00 pm to 6:00 pm
  • driver A's driving work of the rail vehicle at 9:00 am does not belong to shift work
  • driver A's driving work of the rail vehicle at 1:00 pm is part-time shift.
  • the driver detection method, device, device, vehicle, medium and product provided by the present disclosure aim to solve the technical problem that the driver management of rail transit is affected by the shift of vehicle drivers.
  • the method for detecting a driver of an operating vehicle provided by the present disclosure firstly determines the identity information of the current driver according to the image information of the driving area, and then determines the identity information of the target driver who drives the vehicle in combination with the scheduling information. By comparing the identity information with the identity information, it can be accurately determined whether the current driver is the target driver specified by the schedule information.
  • identity information When the above two kinds of identity information are inconsistent, the safety control of the vehicle can avoid the situation that the undesignated driver controls the vehicle, so that the identity of the current driver of the operating vehicle can be effectively verified, so that the operating vehicle can be effectively implemented. security controls.
  • the processing steps of the driver detection method of the operating vehicle in the present disclosure can be implemented by a terminal device or a server, wherein the terminal device can be, for example, a vehicle-mounted terminal provided in the operating vehicle, and the terminal device can be connected with the vehicle control system of the operating vehicle. connection, so as to facilitate the terminal equipment to obtain information and control the vehicle.
  • the terminal device can be, for example, a vehicle-mounted terminal provided in the operating vehicle, and the terminal device can be connected with the vehicle control system of the operating vehicle. connection, so as to facilitate the terminal equipment to obtain information and control the vehicle.
  • the operating vehicle can be a vehicle that is driven and controlled by different drivers at different time periods.
  • the operating vehicle can be a rail vehicle, such as a train, subway, etc.; the operating vehicle can also be a non-rail vehicle, such as a bus, a taxi , online car-hailing, vehicles belonging to operational fleets, etc.
  • FIG. 1 is a schematic diagram of a method for detecting a driver of an operating vehicle provided by an embodiment of the present disclosure. The method is applied to a terminal device as an example for explanation. As shown in FIG. 1 , the method mainly includes the following steps:
  • the driving area refers to the area in the operating vehicle where the driver performs vehicle driving control.
  • the driver is usually located in the driving area of the operating vehicle, and the terminal device can obtain the image information of the driving area of the operating vehicle to obtain the image information of the driver.
  • the image information of the driving area may be captured by a camera device disposed inside the operating vehicle, and then the terminal device obtains the image information captured by the camera device.
  • the terminal device After acquiring the image information of the driving area, the terminal device performs detection based on the image information to acquire the identity information of the current driver, so as to facilitate identity comparison and verification. For example, the driver's face can be recognized based on the driving area to obtain the driver's identity information.
  • the terminal device can obtain the driver scheduling information of the operating vehicle by communicating with the management platform terminal device, and the management platform terminal device is used to manage the running information of the operating vehicle.
  • the driver scheduling information obtained by the terminal device includes the identity information of the driver on duty corresponding to multiple time periods.
  • the management platform terminal device can pre-determine the driver's personal information according to the operating time, operating shift and other information of the operating vehicle.
  • Good scheduling information may include driver identity information corresponding to different time periods during the running period of the vehicle, and the driver identity information refers to information that can determine the real identity of the driver.
  • the corresponding shift information is that driver A is responsible for driving; from 12:00 noon to 6:00 pm , the corresponding shift schedule information is that driver B is responsible for the driving work; from 6:00 pm to 11:00 pm, the corresponding shift schedule information is that driver C is responsible for the driving work.
  • the method of arranging shifts of equal duration or non-equivalent duration may be adopted, and the details may be adjusted according to the actual situation.
  • the identity information of the target driver of the operating vehicle can be determined according to the current time node and the vehicle information of the operating vehicle.
  • the current time node refers to the time node where vehicle driving needs to be performed.
  • the current time node may be 6:00 in the morning, that is, the time when the driver enters the cab of the vehicle for the first time; the current time node may also be 12:00 noon or 6:00 pm, that is, the time when the driver who changes shift first enters the cab of the vehicle point; the current time node may also be the time point when the driver returns to the cab of the vehicle after temporarily leaving the cab while the vehicle is parked, such as 9:30 in the morning.
  • the current time node may also be a time point slightly ahead of the above time point, for example, it may also be 5:55 in the morning or the like.
  • vehicle information of the operating vehicle may specifically include identification information and/or type information of the operating vehicle, such as license plate information, shift information, model information, and the like.
  • the terminal device compares the identity information of the target driver with the identity information of the current driver, if the identity information of the current driver is inconsistent with the identity information of the target driver, it means that the current driver is not responsible for the current operating vehicle at the current time node.
  • the target driver of the driving work at this time, there may be a situation where a non-duty driver drives the vehicle, such as a non-registered driver driving the vehicle, or the driver "cross-shift".
  • the terminal device may perform first safety control on the operating vehicle, such as issuing an alarm or controlling the vehicle to prevent the current driver from driving the vehicle.
  • This embodiment provides a driver detection method for operating a vehicle.
  • the identity information of the current driver is determined according to the image information of the driving area, and then the identity information of the target driver driving the vehicle is determined in combination with the shift information.
  • the identity comparison of the two kinds of identity information can accurately determine whether the current driver is the target driver specified by the schedule information.
  • the safety control of the vehicle can avoid the situation where the undesignated driver controls the vehicle, thereby effectively verifying whether the driver is the driver on duty and realizing the safety management of the operating vehicle.
  • it can also help to automate the management of drivers of rail transit.
  • the driver's identity information includes at least one of face information, height information, body shape information, and identification information.
  • the face information is the driver's face feature information
  • the height information is the driver's height data
  • the body type information is the driver's body type information
  • the identity information is the driver's name, ID and other information.
  • the face information, height information, and body shape information can be obtained by detecting the external features of the driver in the image
  • the identity information can be obtained by detecting and identifying items such as work cards worn by the driver.
  • driver's identity information when there are a large number of vehicle drivers, information that can uniquely determine the driver's identity, such as face information, identity identification information, can be used as the driver's identity information, so that the driver can be effectively identified.
  • driver's identity information only one of the above information may be used as the driver's identity information, or multiple types of the above information may be used as the driver's identity information, which may be selected according to the actual situation.
  • the driver by using at least one of face information, height information, body shape information, and identity information as the driver's identity information, the driver can be effectively identified according to the driver's identity information.
  • FIG. 2 is a schematic diagram of detecting the identity information of the current driver of the operating vehicle based on image information in an embodiment of the disclosure. As shown in FIG. 2 , detecting the identity information of the current driver of the operating vehicle based on the image information includes:
  • S220 Identify the current driver based on the image information to obtain the current driver's identity information.
  • the camera device installed in the operating vehicle can capture the image of the driving area in real time, and then send the captured image information to the terminal device, and the terminal device performs personnel detection on the received image information to determine whether a person enters the driving area.
  • the current driver of the operating vehicle can be determined according to the image information, and the current driver can be identified by at least one method such as face recognition, height recognition, body shape recognition, and identification identification.
  • the driver performs identification to obtain the identity information of the current driver.
  • the terminal device determines the current driver of the operating vehicle from the person entering the driving area based on the image information, and identifies the current driver based on the image information. Identify and obtain the identity information of the current driver.
  • the identity information of the current driver can be confirmed immediately after detecting that the person enters the driving area, which can improve the speed of the driver's identity detection; on the other hand, by identifying the current driver By identifying, the identity information of the current driver can be obtained, so that it is convenient to determine whether the current driver is the target driver and realize the safety management of the vehicle.
  • FIG. 3 is a schematic diagram of determining the current driver of the operating vehicle from the person entering the driving area based on image information in an embodiment of the present disclosure. As shown in FIG. 3 , based on the image information, the current driver of the operating vehicle is determined from the person entering the driving area. driver, including:
  • position detection and/or motion detection may be performed on persons entering the driving area according to the image information.
  • position detection it can be confirmed whether the preset relative positional relationship between the person entering the driving area and the driver's seat is satisfied, for example, the person is located in the driver's seat of the vehicle, etc.; through motion detection, it can be confirmed whether the person entering the driving area is working or not. Prepare for a scheduled vehicle start operation for vehicle driving control.
  • the current driver can be determined according to whether the preset relative positional relationship between the person and the driver's seat is satisfied.
  • the current driver may be determined based on whether a person is performing or preparing to perform a predetermined vehicle start operation.
  • the current driver may be determined according to whether a preset relative positional relationship is satisfied between the person and the driver's seat and whether the person is performing or preparing to perform a predetermined vehicle starting operation.
  • the position and/or motion of the person entering the driving area is detected based on the image information, and then according to the position and/or motion detection result, the person who satisfies the preset relative positional relationship with the driver's seat is determined, or
  • the person who performs the predetermined vehicle startup operation is the current driver of the operating vehicle, so that the current driver can be accurately determined, which facilitates subsequent driver identification processing.
  • performing the first security control on the operating vehicle includes at least one of the following: controlling the alarm device in the operating vehicle to send out the first alarm information; It is used to warn off-duty drivers for driving vehicles; generate abnormal driver on-duty event records of operating vehicles; add abnormal event records to the driving files of the current driver and/or target driver; intercept the operation of operating vehicles on the current driver the response to.
  • the terminal device can control the alarm device in the operating vehicle to send out the first alarm information
  • the alarm device can be a sound and light alarm device.
  • the terminal device can also send second alarm information to the management platform terminal device, the second alarm information is used to warn off-duty drivers driving vehicles, and the relevant staff of the management platform terminal device can timely know the current situation according to the second alarm information.
  • the driver is inconsistent with the target driver corresponding to the schedule information, so as to facilitate the corresponding processing.
  • the terminal device can also generate a record of abnormal driver on-duty events of the operating vehicle, so that by recording the event, it is convenient for the terminal device and the management platform terminal device to manage the operating on-duty of the operating vehicle.
  • the terminal device can also add abnormal event records to the driving files of the current driver and/or the target driver to record that the current driver has shift shift behavior, and/or the target driver has shift evasion behavior. Recording events can facilitate the terminal equipment and the management platform terminal equipment to carry out the operation and duty management of the operating vehicles.
  • the terminal device can also intercept the operating vehicle's response to the current driver's operation, so that when the current driver is not the target driver, the current driver cannot control and drive the operating vehicle, thereby realizing safe control of the vehicle's driving authority.
  • the method further includes: extracting the image information of the current driver from the image information of the driving area; uploading the image information of the current driver to the management platform terminal device.
  • the image information of the current driver is extracted from the image information and uploaded to the management platform terminal device, so that the evidence can be retained for subsequent identification of the non-identity driver. Normal records are verified or traced.
  • the method further includes: matching the identity information of the current driver with the preset identity information of the registered driver based on the identity information of the current driver; when the identity information of the current driver fails to match the identity information of each preset registered driver In the case of , the second safety control is performed on the operating vehicle.
  • the current driver's identity information is further matched with the preset registered driver's identity information to confirm whether the current driver is a pre-registered driver.
  • the preset registered driver may be a driver registered in advance on the management platform of the operating vehicle, or a driver authorized by the platform and allowed to drive the operating vehicle.
  • the terminal The equipment performs the second safety control on the operating vehicle to improve the safety of the vehicle.
  • performing the second security control on the operating vehicle includes at least one of the following: controlling the alarm device in the operating vehicle to issue third alarm information; It is used to warn the non-registered driver of the vehicle; to intercept the response of the operating vehicle to the operation of the current driver.
  • the alarm device in the operating vehicle can be controlled to issue third alarm information, and the alarm device can be a sound and light alarm device.
  • the alarm device can be a sound and light alarm device.
  • the fourth alarm information can also be sent to the management platform device, the fourth alarm information is used to warn the non-registered driver driving the vehicle, and the relevant staff of the management platform device can timely know the current driver according to the fourth alarm information. It does not belong to the registered driver of the operating vehicle, so as to facilitate the corresponding processing in a timely manner.
  • the response of the operating vehicle to the operation of the current driver can also be intercepted, so that when the current driver does not belong to the registered driver of the operating vehicle, the current driver cannot control and drive the operating vehicle, thereby improving the safety of the vehicle.
  • the identification information of the target driver of the operating vehicle is determined based on the driver scheduling information of the operating vehicle, including:
  • S310 Receive the scheduling adjustment information sent by the management platform terminal device, and obtain the adjusted driver scheduling information based on the scheduling adjustment information and the driver scheduling information;
  • the identity information of the target driver can be determined according to the driver's shift information.
  • the control terminal further communicates with the management platform device to receive the management platform device. After sending the scheduling adjustment information, the adjusted driver scheduling information is obtained based on the scheduling adjustment information and the driver scheduling information. After obtaining the adjusted driver scheduling information, the terminal device determines the identity information of the target driver of the operating vehicle according to the current time node and the vehicle information of the operating vehicle.
  • the scheduling adjustment information refers to the information that the vehicle management system adjusts the driver's scheduling situation.
  • the original driver schedule information is: from 6:00 am to 12:00 noon, the corresponding schedule information is that driver A is responsible for driving; from 12:00 noon to 6:00 pm, the corresponding schedule information Driver B is responsible for the driving work; from 6:00 pm to 11:00 pm, the corresponding shift information is that driver C is responsible for the driving work.
  • the shift adjustment information is: the working hours of driver B and driver C are swapped, that is, from 12:00 noon to 6:00 pm, the corresponding shift information is that driver C is responsible for driving; At eleven o'clock, the corresponding shift information is that driver B is responsible for driving.
  • driver C When the driver's shift shift detection is performed based on the original driver's shift information, if driver C is in the cab at 12:00 noon, at this time, the driver is identified as driver C by identifying the driver. In the original driver scheduling information, the corresponding target driver should be driver B. At this time, it is considered that driver C has the behavior of skipping shifts.
  • the adjusted driver scheduling information is obtained based on the scheduling adjustment information, and then based on the adjusted driver scheduling information
  • the scheduling information determines the identity information of the target driver corresponding to the current time node, and finally compares the identity information of the target driver with the identity detection information of the current driver to determine whether there is a shift shift behavior.
  • the adjusted driver's shift information obtained based on the shift adjustment information is: from 6:00 am to 12:00 noon, the corresponding shift information is that driver A is responsible for the driving work ; From 12:00 pm to 6:00 pm, the corresponding shift information is that driver C is responsible for driving; from 6:00 pm to 11:00 pm, the corresponding shift information is that driver B is responsible for driving.
  • driver C is in the cab, at this time, the driver is identified as driver C by identifying the driver, and in the adjusted driver schedule information, the corresponding target driver is also It is the driver C, at this time, it is considered that the driver C does not have the behavior of commuting, that is, the driver C is in a normal duty state.
  • the terminal device receives the scheduling adjustment information sent by the management platform terminal device, and obtains the adjusted driver scheduling information based on the scheduling adjustment information and the driver scheduling information. Then, based on the adjusted driver schedule information, the identity information of the target driver of the operating vehicle is determined, so that the real-time and accuracy of the identity information of the target driver can be improved.
  • the method further includes: under the condition that the identity information of the current driver is consistent with the identity information of the target driver, controlling the operating vehicle according to the operation of the current driver.
  • the terminal device can determine that the current driver (that is, the target driver) is in a normal duty state.
  • the operation of the driver controls the operating vehicle to ensure that the current driver (ie the target driver) can drive the operating vehicle normally.
  • the method further includes: when the identity information of the current driver is consistent with the identity information of the target driver, acquiring the driving environment configuration information of the target driver; adjusting the driving environment configuration information according to the target driver's driving environment configuration information The driving environment in which the vehicle is operated.
  • the current driver ie the target driver
  • the terminal device can automatically detect the current driver (ie the target driver) driver) to adjust the driving environment to match the target driver.
  • the terminal device after determining that the current driver can drive the vehicle, the terminal device obtains the driving environment configuration information of the target driver, and then configures the driving environment according to the target driver's driving environment.
  • the information automatically adjusts the driving environment of the operating vehicle, so that the driver does not need to adjust the driving environment by himself.
  • by automatically adjusting the driving environment it can help the current driver to drive the vehicle better and improve driving safety. sex.
  • the driving environment configuration information includes seat position information and/or mirror position information.
  • the adjustment of the driving environment includes seat position adjustment and/or rearview mirror position adjustment, wherein the seat position adjustment includes front and rear position adjustment and/or up and down height adjustment of the seat, and the rearview mirror position adjustment includes rearview mirror position adjustment angle adjustment, etc. Therefore, by automatically adjusting the driving environment, the driving environment of the operating vehicle can be matched with the driver, which helps the driver to better drive the vehicle and improves the driving safety.
  • the adjustment of the driving environment may also include other configuration adjustments related to personal driving habits, which are not limited herein.
  • steps in the flow charts in the above embodiments are sequentially displayed according to the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless explicitly stated herein, the steps are performed in no strict order and may be performed in other orders. Moreover, at least a part of the steps in the figure may include multiple sub-steps or multiple stages. These sub-steps or stages are not necessarily executed at the same time, but may be executed at different times, and the execution order is not necessarily sequential. Instead, it may be performed in turn or alternately with other steps or at least a portion of sub-steps or stages of other steps.
  • a driver detection apparatus for an operating vehicle is provided.
  • FIG. 4 is a schematic diagram of a driver detection device for an operating vehicle provided by an embodiment of the present disclosure. As shown in FIG. 4 , the device includes:
  • the image acquisition module 100 is used for acquiring image information of the driving area of the operating vehicle
  • the identity detection module 200 is used for detecting the identity information of the current driver of the operating vehicle based on the image information
  • An identity determining module 300 configured to determine the identity information of the target driver of the operating vehicle based on the driver scheduling information of the operating vehicle;
  • the vehicle control module 400 is configured to perform first safety control on the operating vehicle when the identity information of the current driver is inconsistent with the identity information of the target driver.
  • Each module in the above-mentioned driver detection device for operating vehicles can be implemented in whole or in part by software, hardware and combinations thereof.
  • the above modules can be embedded in or independent of the processor in the computer device in the form of hardware, or stored in the memory in the computer device in the form of software, so that the processor can call and execute the operations corresponding to the above modules.
  • This embodiment provides a driver detection device for operating a vehicle.
  • the identity information of the current driver is determined according to the image information of the driving area, and then the identity information of the target driver who drives the vehicle is determined in combination with the shift information.
  • the identity comparison of the two kinds of identity information can accurately determine whether the current driver is the target driver specified by the schedule information.
  • the safety control of the vehicle can avoid the situation that the undesignated driver controls the vehicle, which is helpful for the driver management of rail transit.
  • FIG. 5 is a schematic diagram of an electronic device provided by an embodiment of the present disclosure.
  • the electronic device 10 includes: a memory 11, a processor 12, and a computer program stored in the memory 11 and running on the processor 12, When the processor 12 executes the program, the driver detection method of the operating vehicle as described above is realized.
  • the memory and the processor are directly or indirectly electrically connected to realize data transmission or interaction.
  • these elements can be electrically connected to each other through one or more communication buses or signal lines, such as can be connected through a bus.
  • the memory stores computer-executed instructions for implementing the data access control method, including at least one software function module that can be stored in the memory in the form of software or firmware, and the processor executes various software programs and modules by running the software programs and modules stored in the memory. Functional application and data processing.
  • the memory can be, but is not limited to, random access memory (Random Access Memory, RAM), read only memory (Read Only Memory, ROM), programmable read only memory (Programmable Read-Only Memory, PROM), erasable only memory Read memory (Erasable Programmable Read-Only Memory, EPROM), Electrical Erasable Programmable Read-Only Memory (Electric Erasable Programmable Read-Only Memory, EEPROM), etc.
  • RAM Random Access Memory
  • ROM read only memory
  • PROM programmable read only memory
  • PROM Programmable Read-Only Memory
  • EPROM Erasable Programmable Read-Only Memory
  • Electrical Erasable Programmable Read-Only Memory Electrical Erasable Programmable Read-Only Memory
  • the software programs and modules in the above-mentioned memory may also include an operating system, which may include various software components and/or drivers for managing system tasks (such as memory management, storage device control, power management, etc.), and may Intercommunicate with various hardware or software components to provide the operating environment for other software components.
  • an operating system which may include various software components and/or drivers for managing system tasks (such as memory management, storage device control, power management, etc.), and may Intercommunicate with various hardware or software components to provide the operating environment for other software components.
  • the processor may be an integrated circuit chip with signal processing capability.
  • the above-mentioned processor may be a general-purpose processor, including a central processing unit (Central Processing Unit, CPU), a network processor (Network Processor, NP), and the like.
  • CPU Central Processing Unit
  • NP Network Processor
  • the disclosed methods, steps and logical block diagrams in the embodiments of the present disclosure can be implemented or executed.
  • a general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
  • the electronic device 10 may further include a communication module 13 , so that the electronic device 10 can communicate with other devices.
  • FIG. 6 is a schematic diagram of a vehicle provided by an embodiment of the present disclosure.
  • the above-mentioned electronic device 10 is installed in the vehicle 20 , and the electronic device 10 can communicate with the management platform terminal device through the network, so as to obtain the driver's schedule. class information.
  • a camera device 21 is further provided in the vehicle, and the camera device 21 is used to collect image information of the driving area and send the collected image information to the electronic device 10 .
  • a computer-readable storage medium is provided, and computer-executable instructions are stored in the computer-readable storage medium, and when the computer-executable instructions are executed by a processor, are used to implement the steps of each method embodiment of the present disclosure .
  • a computer program product comprising a computer program that, when executed by a processor, implements the steps of each method embodiment of the present disclosure.
  • Nonvolatile memory may include read only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), or flash memory.
  • Volatile memory may include random access memory (RAM) or external cache memory.
  • RAM is available in various forms such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous chain Road (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), etc.
  • SRAM static RAM
  • DRAM dynamic RAM
  • SDRAM synchronous DRAM
  • DDRSDRAM double data rate SDRAM
  • ESDRAM enhanced SDRAM
  • SLDRAM synchronous chain Road (Synchlink) DRAM
  • SLDRAM synchronous chain Road (Synchlink) DRAM
  • Rambus direct RAM
  • DRAM direct memory bus dynamic RAM
  • RDRAM memory bus dynamic RAM

Landscapes

  • Engineering & Computer Science (AREA)
  • Mechanical Engineering (AREA)
  • Traffic Control Systems (AREA)

Abstract

La présente invention concerne un procédé de détection de conducteur comprenant les étapes suivantes : acquérir des informations d'image d'une zone de conduite d'un véhicule d'exploitation (S100) ; détecter des informations d'identité du conducteur actuel du véhicule d'exploitation sur la base des informations d'image (S200) ; déterminer des informations d'identité d'un conducteur cible du véhicule d'exploitation sur la base d'informations de planification de conducteur du véhicule d'exploitation (S300) ; et lorsque les informations d'identité du conducteur actuel sont incohérentes avec les informations d'identité du conducteur cible, effectuer une première commande de sécurité sur le véhicule d'exploitation (S400). La présente invention concerne également un appareil de détection de conducteur, un dispositif électronique, un véhicule, un support de stockage lisible par ordinateur et un produit-programme informatique.
PCT/CN2021/140971 2020-12-31 2021-12-23 Procédé de détection de conducteur WO2022143427A1 (fr)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
CN202011641812.6A CN112660204A (zh) 2020-12-31 2020-12-31 驾驶员检测方法、装置、设备、车辆、介质及产品
CN202011641812.6 2020-12-31

Publications (1)

Publication Number Publication Date
WO2022143427A1 true WO2022143427A1 (fr) 2022-07-07

Family

ID=75412248

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/CN2021/140971 WO2022143427A1 (fr) 2020-12-31 2021-12-23 Procédé de détection de conducteur

Country Status (2)

Country Link
CN (1) CN112660204A (fr)
WO (1) WO2022143427A1 (fr)

Families Citing this family (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112660204A (zh) * 2020-12-31 2021-04-16 上海商汤临港智能科技有限公司 驾驶员检测方法、装置、设备、车辆、介质及产品
CN114694284B (zh) * 2022-03-24 2024-03-22 北京金和网络股份有限公司 特种车辆驾驶员身份验证方法及装置
CN114913616B (zh) * 2022-07-19 2022-11-18 深圳高灯计算机科技有限公司 基于电子不停车收费***的车辆通行扣费方法和装置

Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104766471A (zh) * 2015-04-23 2015-07-08 温州旭辉科技有限公司 出租车智能监控***及方法
CN106915328A (zh) * 2015-12-24 2017-07-04 南车株洲电力机车研究所有限公司 机车司乘人员身份认证方法及***
CN107004128A (zh) * 2017-02-16 2017-08-01 深圳市锐明技术股份有限公司 一种驾驶员身份识别方法及装置
CN107578025A (zh) * 2017-09-15 2018-01-12 赵立峰 一种驾驶员识别方法及***
US20190236863A1 (en) * 2018-01-31 2019-08-01 TrueLite Trace, Inc. Vehicle Electronic Logging Device (ELD) Hour-of-Service (HoS) Audit and Correction Guidance System and Method of Operating Thereof
CN110175748A (zh) * 2019-04-28 2019-08-27 西安艾润物联网技术服务有限责任公司 身份验证方法及装置
CN112660204A (zh) * 2020-12-31 2021-04-16 上海商汤临港智能科技有限公司 驾驶员检测方法、装置、设备、车辆、介质及产品
CN112861677A (zh) * 2021-01-28 2021-05-28 上海商汤临港智能科技有限公司 轨交驾驶员的动作检测方法及装置、设备、介质及工具

Family Cites Families (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US10173687B2 (en) * 2015-03-16 2019-01-08 Wellen Sham Method for recognizing vehicle driver and determining whether driver can start vehicle
CN112084942A (zh) * 2018-03-09 2020-12-15 西安艾润物联网技术服务有限责任公司 车辆内驾驶员身份在线监测方法、装置和存储介质
CN110356363A (zh) * 2018-04-09 2019-10-22 杭州海康汽车技术有限公司 一种驾驶员身份认证方法、装置、***和服务器
CN109177922A (zh) * 2018-08-31 2019-01-11 北京七鑫易维信息技术有限公司 车辆启动方法、装置、设备及存储介质
CN111277575B (zh) * 2020-01-14 2022-04-05 广州交信投科技股份有限公司 驾驶员身份的识别方法、装置、计算机设备和存储介质
CN111873800B (zh) * 2020-07-31 2022-02-25 科大讯飞股份有限公司 一种基于车载输入法的驾驶安全提示方法、装置以及设备

Patent Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104766471A (zh) * 2015-04-23 2015-07-08 温州旭辉科技有限公司 出租车智能监控***及方法
CN106915328A (zh) * 2015-12-24 2017-07-04 南车株洲电力机车研究所有限公司 机车司乘人员身份认证方法及***
CN107004128A (zh) * 2017-02-16 2017-08-01 深圳市锐明技术股份有限公司 一种驾驶员身份识别方法及装置
CN107578025A (zh) * 2017-09-15 2018-01-12 赵立峰 一种驾驶员识别方法及***
US20190236863A1 (en) * 2018-01-31 2019-08-01 TrueLite Trace, Inc. Vehicle Electronic Logging Device (ELD) Hour-of-Service (HoS) Audit and Correction Guidance System and Method of Operating Thereof
CN110175748A (zh) * 2019-04-28 2019-08-27 西安艾润物联网技术服务有限责任公司 身份验证方法及装置
CN112660204A (zh) * 2020-12-31 2021-04-16 上海商汤临港智能科技有限公司 驾驶员检测方法、装置、设备、车辆、介质及产品
CN112861677A (zh) * 2021-01-28 2021-05-28 上海商汤临港智能科技有限公司 轨交驾驶员的动作检测方法及装置、设备、介质及工具

Also Published As

Publication number Publication date
CN112660204A (zh) 2021-04-16

Similar Documents

Publication Publication Date Title
WO2022143427A1 (fr) Procédé de détection de conducteur
US11748085B2 (en) Autonomous vehicle operator identification
US10482226B1 (en) System and method for autonomous vehicle sharing using facial recognition
US10688961B2 (en) In-vehicle smoke detection and reporting system and method for car sharing and ride sharing vehicles
US11042619B2 (en) Vehicle occupant tracking and trust
US11822327B2 (en) Safety of autonomous vehicles by remote support request
US10387962B1 (en) Methods of reconstructing an accident scene using telematics data
US20180074490A1 (en) Apparatus and method for vehicle remote controlling and remote driving system
US20210036843A1 (en) Systems and methods for a cryptographically guaranteed vehicle identity
GB2522728A (en) Monitoring device
WO2019009382A1 (fr) Système et procédé de détection de brutalité sur des véhicules autonomes pendant la conduite
CN114834474B (zh) 一种基于驾驶人实时状态监测的主动安全辅助驾驶***
CN109299904B (zh) 一种物流控制***
US11186257B2 (en) Automobile driver biometric authentication and GPS services
US20230373495A1 (en) Technologies for driver behavior assessment
CN110751530A (zh) 身份信息安全校验方法、服务器、乘客端及司机端
WO2023236431A1 (fr) Système de surveillance de sécurité de transport d'automobile basé sur la gestion holographique du conducteur
US20200410788A1 (en) Management apparatus, vehicle, inspection apparatus, and vehicle inspection system and inforamtion processing method therefor
CN106781620B (zh) 违章信息***和违章地图的构建方法
US20180096433A1 (en) Calculation of Differential for Insurance Rates
CN113469124B (zh) 公路客运客流量采集与监管平台及其使用方法
CN113240920A (zh) 车辆通行方法及装置、认证服务器和紧急救援***
CN111717156B (zh) 基于机动车、驾驶员及行程的行车控制方法和装置
CN110164073B (zh) 一种列车安防监控***和列车安防监控方法
CN112242061A (zh) 一种基于人脸分析的车辆管理***

Legal Events

Date Code Title Description
121 Ep: the epo has been informed by wipo that ep was designated in this application

Ref document number: 21914164

Country of ref document: EP

Kind code of ref document: A1

NENP Non-entry into the national phase

Ref country code: DE

122 Ep: pct application non-entry in european phase

Ref document number: 21914164

Country of ref document: EP

Kind code of ref document: A1

32PN Ep: public notification in the ep bulletin as address of the adressee cannot be established

Free format text: NOTING OF LOSS OF RIGHTS PURSUANT TO RULE 112(1) EPC (EPO FORM 1205A DATED 28/11/2023)

122 Ep: pct application non-entry in european phase

Ref document number: 21914164

Country of ref document: EP

Kind code of ref document: A1