Vehicle abnormal state reminding method and system, automatic driving vehicle and medium

Abstract

The invention relates to the technical field of vehicle control, and discloses a vehicle abnormal state reminding method and system, an automatic driving vehicle and a medium. The method comprises the steps of obtaining real-time state information of a vehicle in response to any vehicle control instruction sent by a user; judging whether the vehicle is in an abnormal state or not based on the real-time state information; and when the vehicle is in the abnormal state, determining a target abnormal state set of the vehicle and corresponding target priority information according to the vehicle state information at the current moment and a preset abnormal state database, and generating voice data and playing the voice data so as to remind the vehicle of the abnormal state. Thus, based on the target abnormal state set and the corresponding target priority information, the voice data is generated and played to remind the vehicle abnormal state, it can be avoided that reminding is conducted on multiple abnormal states at the same time, judgment of a user on the vehicle abnormal state is not likely to be affected, and therefore the use experience of the user on the vehicle is improved.

Description

Technical Field

[0001] The present application relates to the field of vehicle control technology, and in particular to a vehicle abnormal state reminder method, system, automatic driving vehicle and medium. Background Art

[0002] In recent years, the vehicle industry has developed rapidly. While owning cars, users are also paying more and more attention to the vehicle experience. Among them, when the vehicle is in an abnormal state, timely reminding the user is a key link to ensure the vehicle experience. The existing technology usually reminds the abnormal state of the vehicle through the indicator light of the instrument, steering wheel vibration, or voice playback. However, when the vehicle is in multiple abnormal states at the same time, the existing reminder method will remind multiple abnormal states at the same time, which is easy to affect the user's judgment of the abnormal state of the vehicle, making the user have a poor experience of using the vehicle.

[0003] It should be noted that the information disclosed in the above background technology section is only used to enhance the understanding of the background of the present application, and therefore may include information that does not constitute the prior art known to ordinary technicians in the field. Summary of the invention

[0004] In order to provide a basic understanding of some aspects of the disclosed embodiments, a brief summary is given below. The summary is not an extensive review, nor is it intended to identify key / critical elements or delineate the scope of protection of these embodiments, but rather serves as a prelude to the detailed description that follows.

[0005] In order to overcome the problem that the existing reminder method will remind multiple abnormal conditions at the same time, which is easy to affect the user's judgment of the vehicle status and make the user have a poor vehicle experience, the embodiments of the present disclosure provide a vehicle abnormal state reminder method, system, autonomous driving vehicle and medium.

[0006] In some embodiments, a vehicle abnormal state reminder method includes: in response to any vehicle control command issued by a user, obtaining real-time state information of the vehicle; based on the real-time state information, determining whether the vehicle is in an abnormal state; when the vehicle is in an abnormal state, determining a target abnormal state set of the vehicle and corresponding target priority information according to the vehicle state information at the current moment and a preset abnormal state database; wherein the target abnormal state set includes one or more abnormal states corresponding to the vehicle state information in the abnormal state database, and the target priority information includes the priority corresponding to each abnormal state in the target abnormal state set; based on the target abnormal state set and the target priority information, generating and playing voice data to remind the vehicle of abnormal state.

[0007] In some embodiments, a vehicle abnormal state reminder system includes: an instruction receiving device for receiving a vehicle control instruction issued by a user; a reminder device for determining whether the vehicle is in an abnormal state based on the real-time state information of the vehicle, and when the vehicle is in an abnormal state, determining a target abnormal state set and corresponding target priority information corresponding to the real-time state information, and performing a vehicle state reminder based on the target abnormal state set and the corresponding target priority information. The instruction receiving device and the reminder device are in communication connection with each other.

[0008] In some embodiments, an autonomous driving vehicle, applied to low-speed unmanned driving scenarios and / or low-speed autonomous driving scenarios, includes: a processor and a memory storing program instructions, wherein the processor is configured to execute the vehicle abnormal status reminder method as described above when running the program instructions.

[0009] In some embodiments, a computer-readable storage medium stores instructions, and when the instructions are executed on a terminal device, the terminal device executes the vehicle abnormal state reminder method as described above.

[0010] The vehicle abnormal state reminder method, system, autonomous driving vehicle and medium provided by the embodiments of the present disclosure can achieve the following technical effects:

[0011] By responding to any vehicle control command issued by the user, the real-time status information of the vehicle is obtained, and then based on the real-time status information, it is determined whether the vehicle is in an abnormal state. In the case of an abnormal state, one or more abnormal states and corresponding priorities of the vehicle are determined based on the vehicle status information at the current moment and the abnormal state database, that is, the target abnormal state set and the corresponding target priority information are determined. In this way, based on the target abnormal state set and the corresponding target priority information, voice data is generated and played to remind the abnormal state of the vehicle, which can avoid reminding multiple abnormal states at the same time, and is not easy to affect the user's judgment of the abnormal state of the vehicle, thereby improving the user's experience of using the vehicle.

[0012] The above general description and the following description are exemplary and explanatory only and are not intended to limit the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0013] One or more embodiments are exemplarily described by corresponding drawings, which do not limit the embodiments. Elements with the same reference numerals in the drawings are shown as similar elements, and the drawings do not constitute a scale limitation, and wherein:

[0014] Figure 1 It is a flow chart of a vehicle abnormal state reminder method provided by an embodiment of the present disclosure;

[0015] Figure 2 It is a flow chart of another method for reminding a vehicle of abnormal state provided by an embodiment of the present disclosure;

[0016] Figure 3 It is a structural schematic diagram of a vehicle abnormal state reminder system provided by an embodiment of the present disclosure;

[0017] Figure 4 It is a schematic diagram of the structure of an autonomous driving vehicle provided in an embodiment of the present disclosure. DETAILED DESCRIPTION

[0018] In order to be able to understand the features and technical contents of the embodiments of the present disclosure in more detail, the implementation of the embodiments of the present disclosure is described in detail below in conjunction with the accompanying drawings. The attached drawings are for reference only and are not used to limit the embodiments of the present disclosure. In the following technical description, for the convenience of explanation, a full understanding of the disclosed embodiments is provided through multiple details. However, one or more embodiments can still be implemented without these details. In other cases, to simplify the drawings, well-known structures and devices can be simplified for display.

[0019] The terms "first", "second", etc. in the specification and claims of the embodiments of the present disclosure and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the terms used in this way can be interchanged where appropriate, so that the embodiments of the embodiments of the present disclosure described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions.

[0020] Unless otherwise stated, the term "plurality" means two or more.

[0021] In the embodiment of the present disclosure, the character " / " indicates that the preceding and following objects are in an "or" relationship. For example, A / B indicates: A or B.

[0022] The term "and / or" is a description of the association relationship between objects, indicating that three relationships can exist. For example, A and / or B means: A or B, or, A and B.

[0023] The term "correspondence" may refer to an association relationship or a binding relationship. The correspondence between A and B means that there is an association relationship or a binding relationship between A and B.

[0024] A vehicle abnormal state reminder method provided by an embodiment of the present disclosure is applied to a vehicle. In some embodiments, the vehicle is an autonomous driving vehicle, and the autonomous driving vehicle is applied to a low-speed unmanned driving scenario and / or a low-speed autonomous driving scenario.

[0025] Specifically, low speed means that the driving speed is less than the preset standard (for example, 60km / h). The vehicle is mainly operated in a limited range such as closed parks, construction sites, campuses, scenic spots, etc., and has special design and functional requirements. The application scenarios mainly include:

[0026] 1) Transportation in scenic spots or parks: In closed or semi-closed environments such as large industrial parks, tourist attractions, and university campuses, fixed-point shuttle services are provided to reduce the time people spend walking or waiting for traditional transportation.

[0027] 2) Logistics distribution and express delivery services: In residential areas, commercial areas and warehousing and logistics centers, we undertake the "last mile" delivery task, autonomously shuttle through narrow streets and complex indoor environments, and accurately deliver to designated locations.

[0028] 3) Cleaning and sanitation operations: Carry out 24-hour uninterrupted cleaning work in public areas such as streets, parks, and squares to improve urban cleaning efficiency.

[0029] 4) Agricultural cultivation and field management: In the agricultural field, precise operations are carried out according to preset routes and parameters to reduce labor costs and improve agricultural production efficiency and quality.

[0030] 5) Smart parking and automatic parking: Through on-board sensors and cloud control systems, the car can autonomously find and park in an empty parking space, saving the driver's time and energy.

[0031] Specifically, in a low-speed unmanned driving scenario, the driver is not required to participate at all. The vehicle can autonomously perceive the environment, make decisions and perform driving actions. The driver (or passenger) does not need to perform any driving operations or monitoring during the driving of the vehicle. Correspondingly, the vehicle control command issued by the user can be a vehicle start control command.

[0032] Specifically, in low-speed autonomous driving scenarios, although the vehicle has certain autonomous driving capabilities, the driver still needs to be in the car and monitor or control when necessary. Autonomous driving technology is designed to provide assistance to make driving safer and easier, but the driver still needs to stay focused so that he can take over control when the system requires it. Correspondingly, the vehicle control commands issued by the user can be all assisted driving commands including vehicle start control commands.

[0033] Combination Figure 1 As shown, the embodiment of the present disclosure provides a vehicle abnormal state reminder method, comprising:

[0034] Step S101, in response to any vehicle control instruction issued by the user, obtaining real-time status information of the vehicle.

[0035] In some embodiments, if the vehicle is used in a low-speed unmanned driving scenario, the vehicle control command issued by the user may be a vehicle start control command. If the vehicle is used in a low-speed automatic driving scenario, the vehicle control command issued by the user may be all auxiliary driving commands including the vehicle start control command.

[0036] In other embodiments, the user can issue vehicle control commands through at least one of voice, touch screen, and virtual gestures.

[0037] In some embodiments, the real-time status information of the vehicle includes: whether the voice broadcast needs to be turned off, whether the handbrake is pulled, whether the brake pedal is pressed, whether the accelerator is pressed, whether the emergency stop switch is pressed, the remaining battery percentage of the vehicle, the current speed of the vehicle, the current coordinates of the vehicle, the power battery voltage, the power battery current, the drive motor voltage, the drive motor current, the power battery health, the drive motor health, the body posture data, the vehicle driving range specified in the cloud, etc.

[0038] Step S102, based on the real-time status information, determine whether the vehicle is in an abnormal state.

[0039] Step S103, when the vehicle is in an abnormal state, determine the target abnormal state set of the vehicle and the corresponding target priority information based on the vehicle state information at the current moment and a preset abnormal state database; wherein the target abnormal state set includes one or more abnormal states corresponding to the vehicle state information in the abnormal state database, and the target priority information includes the priority corresponding to each abnormal state in the target abnormal state set.

[0040] In the disclosed embodiment, the vehicle being in an abnormal state indicates that the vehicle is in at least one abnormal state. The abnormal state database includes multiple abnormal states and the priority corresponding to each abnormal state. The priorities corresponding to each abnormal state are different. For example, the abnormal state may be that the accelerator is stepped on when the emergency stop switch is pressed; the abnormal state may also be that the accelerator is stepped on when the percentage of the remaining power of the vehicle is less than a preset threshold; the abnormal state may also be that the brake pedal and the accelerator pedal are stepped on at the same time. In this embodiment, the target abnormal state indicates the abnormal state of the vehicle.

[0041] In some embodiments, the priority of the abnormal state is determined based on the urgency of the abnormal state to characterize the urgency of the abnormal state. For example, the more urgent, the higher the priority. In other embodiments, the priority of the abnormal state is determined based on the frequency of the abnormal state being reminded. For example, the greater the frequency, the greater the priority. In other embodiments, the priority of the abnormal state is determined based on the urgency of the abnormal state and the frequency of being reminded. For example, the more urgent and the higher the frequency, the greater the priority.

[0042] Step S104, generating and playing voice data according to the target abnormal state set and the target priority information to provide a vehicle abnormal state reminder.

[0043] In some embodiments, the voice data may also be a voice data packet determined in advance based on various abnormal states.

[0044] The vehicle abnormal state reminder method provided by the embodiment of the present disclosure is adopted to obtain the real-time state information of the vehicle by responding to any vehicle control command issued by the user, and then determine whether the vehicle is in an abnormal state based on the real-time state information. In the case that the vehicle is in an abnormal state, one or more abnormal states and the corresponding priorities of the vehicle at this time are determined based on the vehicle state information at the current moment and the abnormal state database, that is, the target abnormal state set and the corresponding target priority information are determined. In this way, based on the target abnormal state set and the corresponding target priority information, voice data is generated and played to remind the vehicle of abnormal state, which can avoid reminding multiple abnormal states at the same time, and is not easy to affect the user's judgment of the abnormal state of the vehicle, thereby improving the user's experience of using the vehicle.

[0045] Optionally, based on the target abnormal state set and the target priority information, voice data is generated and played to provide a vehicle abnormal state reminder, including: when the target abnormal state set includes multiple abnormal states, based on the target priority information, the abnormal state corresponding to the maximum priority in the target abnormal state set is determined as the first target abnormal state; based on the first target abnormal state, voice data is generated and played to provide a vehicle abnormal state reminder.

[0046] In this way, by taking the abnormal state with the highest priority in the target abnormal state set as the first target abnormal state, when the vehicle is in multiple abnormal states at the same time, the user can be reminded of the abnormal state with the highest priority that the vehicle is in at this time, thereby taking into account both reminding the user of the vehicle abnormality and not affecting the customer's judgment of the vehicle's status, thereby ensuring the user's experience of using the vehicle.

[0047] For example, the target abnormal state set includes abnormal state 1, abnormal state 2, and abnormal state 3; the priority information corresponding to the target abnormal state set includes abnormal state 1 with a priority of 5, abnormal state 2 with a priority of 6, and abnormal state 3 with a priority of 3. Abnormal state 2 is determined as the first target abnormal state. For another example, abnormal state 2 is when the emergency stop switch is pressed and the accelerator is stepped on, then the generated voice data is "Please check the emergency stop and handbrake" to remind the driver to check whether the emergency stop and handbrake components are in normal condition.

[0048] Optionally, based on the first target abnormal state, voice data is generated and played to remind the abnormal state of the vehicle, including: determining the playback information based on the first target abnormal state; based on the first target abnormal state, voice data is generated, and the voice data is played according to the playback information to remind the abnormal state of the vehicle. The playback information includes at least one of the playback volume, the number of playbacks, and the playback timbre.

[0049] Different abnormal states have different effects on the vehicle. Therefore, the generated voice data is played according to the playback information corresponding to the first target abnormal state, so that the user can be reminded more in line with the actual situation of the vehicle.

[0050] In some embodiments, determining the playback information based on the first target abnormal state includes: determining the playback information based on the priority of the first target abnormal state. For example, setting the playback information corresponding to the top 10 abnormal states in priority to include: the playback volume is 5, the number of playbacks is 3, and the playback tone is clear.

[0051] In other embodiments, the playback information is determined based on the abnormal state of the first target, including: determining the playback information based on the abnormal state of the first target, adjusting the determined playback information based on the vehicle driving scene, and using the adjusted playback information as the final playback information. In this way, the playback information is adjusted based on the vehicle driving scene, so that a voice reminder service can be provided to the user more intelligently, so as to further improve the user's experience of using the vehicle. For example, when the vehicle is in a driving scene with a congested road, a sharp turn, a long slope, a narrow road meeting, etc., the playback volume and / or the number of playbacks are lowered. At this time, the driving scene of the vehicle is more complicated, and the user is prone to anxiety. Appropriately lowering the playback volume and / or the number of playbacks can reduce the stimulation to the user and ensure the user's experience.

[0052] In other embodiments, determining the playback information based on the first target abnormal state includes: determining the playback information based on the first target abnormal state, adjusting the determined playback information based on the in-car scene, and using the adjusted playback information as the final playback information. Among them, the in-car scene includes a quiet scene, a normal scene, and a noisy scene. In this way, the playback information is adjusted based on the in-car scene, so that a voice reminder service can be provided to the user more intelligently, so as to further improve the user's experience of using the vehicle. For example, when the in-car scene is a quiet scene, the playback volume and / or the number of playbacks are lowered, and the tone is adjusted to be soft to avoid sudden reminder information irritating the user; when the in-car scene is a noisy scene, the playback volume and / or the number of playbacks are increased to ensure that the user can hear the corresponding reminder information in time.

[0053] Optionally, a vehicle abnormal status reminder method also includes: continuously acquiring real-time status information of the vehicle to obtain updated real-time status information; based on the updated real-time status information, determining whether the vehicle is in an abnormal state; if the vehicle is in an abnormal state, determining a second target abnormal state and a corresponding priority corresponding to the updated real-time status information; and providing a vehicle abnormal status reminder based on the second target abnormal state and the corresponding priority.

[0054] Based on the reminder of the first target abnormal state, the user usually handles the abnormal state (for example, solves the fault or misoperation corresponding to the abnormal state), thereby changing the real-time status information of the vehicle. In this way, by continuously acquiring the real-time status information of the vehicle to update the latest real-time status information, if the vehicle is in an abnormal state, the second target abnormal state and the corresponding priority are determined based on the latest updated real-time status information, so as to remind the vehicle of the abnormal state based on the latest target abnormal state.

[0055] Optionally, a vehicle abnormal status reminder is provided based on the second target abnormal status and the corresponding priority, including: if the priority of the second target abnormal status is greater than the priority of the first target abnormal status, and in the process of playing the voice data corresponding to the first target abnormal status, then stop playing the voice data corresponding to the first target abnormal status, and use the second target abnormal status as the updated first target abnormal status; based on the updated first target abnormal status, generate new voice data and play it to provide a vehicle abnormal status reminder.

[0056] In this way, during the process of playing the voice data corresponding to the first target abnormal state, the vehicle is in the second target abnormal state with a higher priority, indicating that the vehicle is in a more severe abnormal state at this time. By interrupting the currently playing voice data corresponding to the first target abnormal state and playing the voice data corresponding to the second target abnormal state with a higher priority, the user can promptly know that the vehicle is in a more severe abnormal state at this time, so that the user can deal with the abnormal state in time.

[0057] Optionally, a vehicle abnormal status reminder is provided based on the second target abnormal status and the corresponding priority, including: if the priority of the second target abnormal status is lower than the priority of the first target abnormal status, then after the vehicle ends the first target abnormal status, the second target abnormal status is used as the updated first target abnormal status; based on the updated first target abnormal status, new voice data is generated and played to provide a vehicle abnormal status reminder.

[0058] Based on the reminder of the first target abnormal state, the user usually handles the abnormal state (for example, solves the fault or erroneous operation corresponding to the abnormal state) to obtain updated real-time status information. In this way, when the vehicle ends the first target abnormal state, the second target abnormal state with a lower priority than the first target abnormal state is used as the updated first target abnormal state to remind the user that the vehicle is still in an abnormal state, so that the user can handle the abnormal state of the vehicle in time.

[0059] Optionally, the embodiment of the present disclosure also provides a vehicle abnormal state reminder method, which also includes: obtaining historical data corresponding to each abnormal state in the abnormal state database; wherein the historical data includes the number and time of each abnormal state being reminded; determining a new priority of each abnormal state based on the historical data; and updating the abnormal state database according to the new priority of each abnormal state.

[0060] In this way, based on the historical data corresponding to each abnormal state, the priority of each abnormal state is adjusted and a new priority is determined, and the abnormal state database is updated, so that the priority of each abnormal state in the abnormal state database can be adaptively adjusted based on the historical data, so as to obtain a more reasonable abnormal state database.

[0061] In some embodiments, if the abnormal state is reminded a large number of times and the reminder time is also close, it means that the vehicle is often in the abnormal state recently, and the priority of the abnormal state can be increased to strengthen the reminder to the user.

[0062] Combination Figure 2 As shown, the embodiment of the present disclosure provides another method for reminding a vehicle of abnormal state, including:

[0063] Step S201, in response to any vehicle control instruction issued by the user, obtain the real-time status information of the vehicle.

[0064] Step S202: determine whether the vehicle is in an abnormal state based on the real-time state information.

[0065] Step S203, when the vehicle is in an abnormal state, a target abnormal state set of the vehicle and corresponding target priority information are determined according to the vehicle state information at the current moment and a preset abnormal state database.

[0066] Step S204: When the target abnormal state set includes multiple abnormal states, based on the target priority information, determine the abnormal state corresponding to the maximum priority in the target abnormal state set as the first target abnormal state.

[0067] Step S205: based on the first target abnormal state, voice data is generated and played to provide a vehicle abnormal state reminder.

[0068] Step S206, obtaining historical data corresponding to each abnormal state in the abnormal state database; wherein the historical data includes the number and time of each abnormal state being reminded.

[0069] Step S207: determining a new priority of each abnormal state based on historical data.

[0070] Step S208: updating the abnormal state database according to the new priority of each abnormal state.

[0071] Combination Figure 3 As shown, the embodiment of the present disclosure provides a vehicle abnormal state reminder system 100, including: an instruction receiving device 101 and a reminder device 102. Among them, the instruction receiving device is used to receive a vehicle control instruction issued by a user. The reminder device is used to determine whether the vehicle is in an abnormal state based on the real-time state information of the vehicle, and when the vehicle is in an abnormal state, determine the target abnormal state set and the corresponding target priority information corresponding to the real-time state information, and provide a vehicle state reminder based on the target abnormal state set and the corresponding target priority information. The instruction receiving device and the reminder device are connected to each other for communication.

[0072] The vehicle abnormal state reminder system provided by the embodiment of the present disclosure is adopted, and the vehicle control command issued by the user is received by the instruction receiving device, and the reminder device determines whether the vehicle is in an abnormal state based on the real-time state information of the vehicle. In the case that the vehicle is in an abnormal state, the corresponding one or more abnormal states and the corresponding priorities of the vehicle at this time are determined, that is, the target abnormal state set and the corresponding target priority information are determined. In this way, the vehicle abnormal state reminder based on the target abnormal state set and the corresponding target priority information can avoid reminding multiple abnormal states at the same time, and is not easy to affect the user's judgment of the abnormal state of the vehicle, thereby improving the user's experience of using the vehicle.

[0073] In some embodiments, the instruction receiving device may be a touch screen display, which is used to receive the vehicle control instructions issued by the user by receiving the user's touch operation. The user's touch operation reflects the user's subjective intention. In other embodiments, the instruction receiving device may be an intelligent device with a voice interaction function, such as a car speaker, a car tablet, etc. The instruction receiving device is used to receive the vehicle control instructions issued by the user through voice. In other embodiments, the instruction receiving device may be an intelligent device with a visual recognition function. The instruction receiving device is used to receive and recognize the vehicle control instructions issued by the user in the form of virtual gestures.

[0074] Optionally, the reminder device includes: an acquisition module, a judgment module, a determination module and a playback module. The acquisition module is used to obtain the real-time status information of the vehicle in response to any vehicle control command issued by the user. The judgment module is used to determine whether the vehicle is in an abnormal state based on the real-time status information. The determination module is used to determine the target abnormal state set and the corresponding target priority information of the vehicle according to the vehicle status information at the current moment and the preset abnormal state database when the vehicle is in an abnormal state; wherein the target abnormal state set includes one or more abnormal states corresponding to the vehicle status information in the abnormal state database, and the target priority information includes the priority corresponding to each abnormal state in the target abnormal state set. The playback module is used to generate and play voice data according to the target abnormal state set and the target priority information to remind the vehicle of abnormal state.

[0075] Optionally, the acquisition module includes a CAN bus unit and an Ethernet unit. The CAN bus unit is used to receive data on the vehicle CAN bus. The Ethernet unit is used to establish a network connection and receive data on the vehicle Ethernet. That is, the CAN bus unit and the Ethernet unit are used to obtain real-time status information of the vehicle.

[0076] Optionally, the determination module processes user operation data, vehicle CAN bus data and cloud Ethernet data through data format processing, filtering processing, logical judgment based on saved experience, logical judgment based on cloud dynamic experience and other calculation processes to determine the target abnormal state set and corresponding target priority information.

[0077] In some embodiments, the playback module may be a vehicle-mounted speaker, a vehicle-mounted tablet, etc. with a voice playback function.

[0078] Optionally, a vehicle abnormal state reminder system further includes a touch screen. The touch screen is also used to display vehicle data information. In this embodiment, the touch screen is a central control screen.

[0079] In some embodiments, the touch screen may also be used as a command receiving device, for receiving the vehicle control command issued by the user by receiving the user's touch operation. In this way, receiving the vehicle control command issued by the user through the touch screen can improve the human interaction performance of the vehicle, thereby improving the user experience.

[0080] Optionally, the touch display screen is also used to display vehicle information in a preset UI format. The preset UI format includes screen position, font or icon size, font or icon color, font type, etc. The vehicle information includes vehicle speed, voltage, current, location, fault alarm, etc. In this way, by receiving the user's vehicle control command and displaying the vehicle information on the touch display screen, the user can understand the current vehicle information.

[0081] Combination Figure 4 As shown, an embodiment of the present disclosure provides an autonomous driving vehicle 200, which is applied to low-speed unmanned driving scenarios and / or low-speed autonomous driving scenarios. The vehicle includes a processor (processor) 201 and a memory (memory) 202. Optionally, the vehicle may also include a communication interface (Communication Interface) 203 and a bus 204. Among them, the processor 201, the communication interface 203, and the memory 202 can communicate with each other through the bus 204. The communication interface 203 can be used for information transmission. The processor 201 can call the logic instructions in the memory 202 to execute the vehicle abnormal state reminder method of the above embodiment.

[0082] The low speed in the disclosed embodiment means that the driving speed is less than the preset standard (for example, 60 km / h). The autonomous driving vehicle mainly operates in a limited range such as closed parks, construction sites, campuses, scenic spots, etc., and has special design and functional requirements. The application scenarios mainly include:

[0083] 1) Transportation in scenic spots or parks: In closed or semi-closed environments such as large industrial parks, tourist attractions, and university campuses, fixed-point pick-up services are provided to reduce the time people spend walking or waiting for traditional transportation. 2) Logistics distribution and express delivery services: In residential areas, commercial areas, and warehousing and logistics centers, it undertakes the "last mile" delivery task, autonomously shuttles through narrow streets and complex indoor environments, and accurately delivers to designated locations. 3) Cleaning and sanitation operations: In public areas such as streets, parks, and squares, 24-hour uninterrupted cleaning work is carried out to improve urban cleaning efficiency. 4) Agricultural farming and field management: In the agricultural field, precise operations are carried out according to preset routes and parameters to reduce labor costs and improve agricultural production efficiency and quality. 5) Smart parking and automatic parking: Through on-board sensors and cloud control systems, it can autonomously find and park in vacant parking spaces, saving drivers' time and energy.

[0084] Specifically, in a low-speed unmanned driving scenario, the driver is not required to participate at all. The vehicle can autonomously perceive the environment, make decisions and perform driving actions. The driver (or passenger) does not need to perform any driving operations or monitoring during the driving of the vehicle. Correspondingly, the vehicle control command issued by the user can be a vehicle start control command.

[0085] Specifically, in low-speed autonomous driving scenarios, although the vehicle has certain autonomous driving capabilities, the driver still needs to be in the car and monitor or control when necessary. Autonomous driving technology is designed to provide assistance to make driving safer and easier, but the driver still needs to stay focused so that he can take over control when the system requires it. Correspondingly, the vehicle control commands issued by the user can be all assisted driving commands including vehicle start control commands.

[0086] In addition, the logic instructions in the memory 202 described above may be implemented in the form of software functional units and when sold or used as independent products, may be stored in a computer-readable storage medium.

[0087] The memory 202 is a computer-readable storage medium that can be used to store software programs and computer executable programs, such as program instructions / modules corresponding to the method in the embodiment of the present disclosure. The processor 201 executes the function application and data processing by running the program instructions / modules stored in the memory 202, that is, the vehicle abnormal state reminder method in the above embodiment is implemented.

[0088] The memory 202 may include a program storage area and a data storage area, wherein the program storage area may store an operating system and an application required for at least one function; the data storage area may store data created according to the use of the terminal device, etc. In addition, the memory 202 may include a high-speed random access memory and may also include a non-volatile memory.

[0089] In an embodiment of the present invention, a computer-readable storage medium is provided, in which instructions are stored. When the instructions are executed, the above-mentioned vehicle abnormal state reminder method is executed.

[0090] The computer-readable storage medium may be a transient computer-readable storage medium or a non-transitory computer-readable storage medium.

[0091] The technical solution of the embodiment of the present disclosure can be embodied in the form of a software product, which is stored in a storage medium and includes one or more instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the method of the embodiment of the present disclosure. The aforementioned storage medium may be a non-transient storage medium, including: a USB flash drive, a mobile hard disk, a read-only memory (ROM, Read-Only Memory), a random access memory (RAM, Random Access Memory), a disk or an optical disk, and other media that can store program codes, or a transient storage medium.

[0092] The above description and accompanying drawings fully illustrate the embodiments of the present disclosure so that those skilled in the art can practice them. Other embodiments may include structural, logical, electrical, process and other changes. The embodiments represent possible changes only. Unless explicitly required, separate components and functions are optional, and the order of operation may vary. The parts and features of some embodiments may be included in or replace the parts and features of other embodiments. Moreover, the words used in this application are only used to describe the embodiments and are not used to limit the claims. As used in the description of the embodiments and claims, unless the context clearly indicates, the singular forms of "a", "an" and "the" are intended to include plural forms as well. Similarly, the term "and / or" as used in this application refers to any and all possible combinations of listings containing one or more associated ones. In addition, when used in the present application, the term "comprise" and its variants "comprises" and / or comprising refer to the presence of stated features, wholes, steps, operations, elements, and / or components, but do not exclude the presence or addition of one or more other features, wholes, steps, operations, elements, components and / or groups thereof. In the absence of further restrictions, the elements defined by the sentence "comprise a ..." do not exclude the presence of other identical elements in the process, method or device including the elements. In this article, each embodiment may focus on the differences from other embodiments, and the same and similar parts between the various embodiments may refer to each other. For the methods, products, etc. disclosed in the embodiments, if they correspond to the method part disclosed in the embodiments, then the relevant parts can refer to the description of the method part.

[0093] Those skilled in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software may depend on the specific application and design constraints of the technical solution. Technicians can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of the embodiments of the present disclosure. Technicians can clearly understand that for the convenience and simplicity of description, the specific working process of the above-described system, device and unit can refer to the corresponding process in the aforementioned method embodiment, and will not be repeated here.

[0094] In the embodiments disclosed herein, the disclosed methods and products (including but not limited to devices, equipment, etc.) can be implemented in other ways. For example, the device embodiments described above are only schematic, for example, the division of units can be only a logical function division, and there can be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the coupling or direct coupling or communication connection between each other shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms. The units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the units can be selected according to actual needs to implement this embodiment. In addition, each functional unit in the embodiment of the present disclosure can be integrated in a processing unit, or each unit can exist physically alone, or two or more units can be integrated in one unit.

[0095] The flowchart and block diagram in the accompanying drawings show the possible architecture, functions and operations of the system, method and computer program product according to the embodiment of the present disclosure. In this regard, each box in the flowchart or block diagram can represent a module, a program segment or a part of the code, and a part of the module, program segment or code contains one or more executable instructions for realizing the specified logical function. In some alternative implementations, the functions marked in the box can also occur in a different order from the order marked in the accompanying drawings. For example, two consecutive boxes can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, which can depend on the functions involved. In the description corresponding to the flowchart and block diagram in the accompanying drawings, the operations or steps corresponding to different boxes can also occur in a different order from the order disclosed in the description, and sometimes there is no specific order between different operations or steps. For example, two consecutive operations or steps can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, which can depend on the functions involved. Each block in the block diagrams and / or flowcharts, and combinations of blocks in the block diagrams and / or flowcharts, may be implemented by a dedicated hardware-based system that performs the specified functions or actions, or may be implemented by a combination of dedicated hardware and computer instructions.

Claims

1. A vehicle abnormal state reminder method, characterized in that: include: Responding to any vehicle control command issued by the user, obtaining real-time status information of the vehicle; Based on the real-time status information, determining whether the vehicle is in an abnormal state; In the case where the vehicle is in an abnormal state, a target abnormal state set of the vehicle and corresponding target priority information are determined according to the vehicle state information at the current moment and a preset abnormal state database; wherein the target abnormal state set includes one or more abnormal states corresponding to the vehicle state information in the abnormal state database, and the target priority information includes the priority corresponding to each abnormal state in the target abnormal state set; According to the target abnormal state set and the target priority information, voice data is generated and played to provide a vehicle abnormal state reminder.

2. The method according to claim 1, characterized in that The generating and playing of voice data according to the target abnormal state set and the target priority information to remind the vehicle of abnormal state includes: In the case where the target abnormal state set includes multiple abnormal states, based on the target priority information, determining the abnormal state corresponding to the maximum priority in the target abnormal state set as the first target abnormal state; Based on the first target abnormal state, voice data is generated and played to provide a vehicle abnormal state reminder.

3. The method according to claim 2, characterized in that Also includes: Continuously obtain the real-time status information of the vehicle and obtain updated real-time status information; Based on the updated real-time status information, determining whether the vehicle is in an abnormal state; If the vehicle is in an abnormal state, determining a second target abnormal state and a corresponding priority corresponding to the updated real-time state information; A vehicle abnormal state reminder is performed based on the second target abnormal state and the corresponding priority.

4. The method according to claim 3, characterized in that The vehicle abnormal state reminder based on the second target abnormal state and the corresponding priority includes: If the priority of the second target abnormal state is greater than the priority of the first target abnormal state, and the voice data corresponding to the first target abnormal state is being played, the voice data corresponding to the first target abnormal state is stopped from being played, and the second target abnormal state is used as the updated first target abnormal state; Based on the updated first target abnormal state, new voice data is generated and played to provide a vehicle abnormal state reminder.

5. The method according to claim 3, characterized in that: The vehicle abnormal state reminder based on the second target abnormal state and the corresponding priority includes: If the priority of the second target abnormal state is lower than the priority of the first target abnormal state, after the vehicle ends the first target abnormal state, the second target abnormal state is used as the updated first target abnormal state; Based on the updated first target abnormal state, new voice data is generated and played to provide a vehicle abnormal state reminder.

6. The method according to any one of claims 1 to 5, characterized in that: Also includes: Acquire historical data corresponding to each abnormal state in the abnormal state database; wherein the historical data includes the number and time of each abnormal state being reminded; Determine a new priority of each of the abnormal states based on the historical data; The abnormal state database is updated according to the new priority of each abnormal state.

7. A vehicle abnormal state reminder system, characterized in that: include: A command receiving device, used for receiving a vehicle control command issued by a user; A reminder device, for determining whether the vehicle is in an abnormal state based on the real-time state information of the vehicle, and when the vehicle is in an abnormal state, determining a target abnormal state set and corresponding target priority information corresponding to the real-time state information, and performing a vehicle state reminder based on the target abnormal state set and the corresponding target priority information; The instruction receiving device and the reminding device are communicatively connected with each other.

8. The system according to claim 7, characterized in that The reminder device comprises: An acquisition module, used to acquire real-time status information of the vehicle in response to any vehicle control command issued by the user; A judgment module, used for judging whether the vehicle is in an abnormal state based on the real-time state information; A determination module, configured to determine, when the vehicle is in an abnormal state, a target abnormal state set of the vehicle and corresponding target priority information according to the vehicle state information at a current moment and a preset abnormal state database; wherein the target abnormal state set includes one or more abnormal states corresponding to the vehicle state information in the abnormal state database, and the target priority information includes the priority corresponding to each abnormal state in the target abnormal state set; The playing module is used to generate and play voice data according to the target abnormal state set and the target priority information to provide a vehicle abnormal state reminder.

9. An autonomous driving vehicle, characterized in that: Applicable to low-speed unmanned driving scenarios and / or low-speed autonomous driving scenarios, including: A processor and a memory storing program instructions, wherein the processor is configured to execute the vehicle abnormal state reminder method as described in any one of claims 1 to 6 when running the program instructions.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores instructions, and when the instructions are executed on a terminal device, the terminal device executes the vehicle abnormal state reminder method as described in any one of claims 1 to 6.

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