CN115123299A - Automated driving method, apparatus, electronic device and automated driving vehicle - Google Patents

Abstract

The disclosure provides an automatic driving method, an automatic driving device, electronic equipment, a readable storage medium and an automatic driving vehicle, and relates to the technical field of artificial intelligence such as automatic driving and intelligent transportation. The automatic driving method comprises the following steps: acquiring driver information of a vehicle, wherein the driver information is one of a driver and a non-driver; and controlling the vehicle to carry out automatic driving according to a target driving strategy corresponding to the driver information, wherein the target driving strategy corresponding to the driver information with the driver is a first driving strategy, and the target driving strategy corresponding to the driver information without the driver is a second driving strategy. The method and the device can improve the flexibility and the safety of the vehicle during automatic driving.

Description

Automated driving method, apparatus, electronic device, and automated driving vehicle

technical field

The present disclosure relates to the technical field of data processing, and in particular, to the technical field of artificial intelligence such as automatic driving and intelligent transportation. An automatic driving method, apparatus, electronic device, readable storage medium and automatic driving vehicle are provided.

Background technique

With the vigorous development of computer technology, the field of artificial intelligence has also developed rapidly, and technologies such as intelligent transportation, intelligent vehicles, and intelligent driving have also been used more and more widely. Autonomous driving is an indispensable part of intelligent transportation, intelligent vehicles, intelligent driving and other fields.

SUMMARY OF THE INVENTION

According to a first aspect of the present disclosure, there is provided an automatic driving method, comprising: acquiring driver information of a vehicle, where the driver information is one of a driver and no driver; The corresponding target driving strategy is to control the vehicle to perform automatic driving, wherein the target driving strategy corresponding to the driver information with a driver is the first driving strategy, and the target driving strategy corresponding to the driver information without a driver is the first driving strategy. Second driving strategy.

According to a second aspect of the present disclosure, there is provided an automatic driving device, comprising: an acquisition unit for acquiring driver information of a vehicle, where the driver information is one of a driver and no driver; a control unit , for controlling the vehicle to perform automatic driving according to the target driving strategy corresponding to the driver information, wherein the target driving strategy corresponding to the driver information with a driver is the first driving strategy, and the target driving strategy corresponding to the driver information with a driver is the first driving strategy, and the target driving strategy corresponding to the driver information with a driver is the first driving strategy The target driving strategy corresponding to the driver information is the second driving strategy.

According to a third aspect of the present disclosure, there is provided an electronic device, comprising: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores information that can be used by the at least one processor Instructions that are executed, the instructions being executed by the at least one processor to enable the at least one processor to perform the method as described above.

According to a fourth aspect of the present disclosure, there is provided a non-transitory computer-readable storage medium storing computer instructions, wherein the computer instructions are used to cause the computer to perform the method as described above.

According to a fifth aspect of the present disclosure, there is provided a computer program product comprising a computer program which, when executed by a processor, implements the method as described above.

According to a sixth aspect of the present disclosure, there is provided an autonomous driving vehicle comprising the above electronic device for performing the above method.

It can be seen from the above technical solutions that the present disclosure obtains different driving strategies by determining whether there is a driver in the vehicle, so that the vehicle can perform automatic driving according to different driving strategies when the vehicle has different driver information. This improves the flexibility and safety of the vehicle during autonomous driving.

It should be understood that what is described in this section is not intended to identify key or critical features of embodiments of the disclosure, nor is it intended to limit the scope of the disclosure. Other features of the present disclosure will become readily understood from the following description.

Description of drawings

The accompanying drawings are used for better understanding of the present solution, and do not constitute a limitation to the present disclosure. in:

1 is a schematic diagram according to a first embodiment of the present disclosure;

2 is a schematic diagram according to a second embodiment of the present disclosure;

3 is a schematic diagram according to a third embodiment of the present disclosure;

FIG. 4 is a block diagram of an electronic device used to implement the automatic driving method of the embodiment of the present disclosure.

Detailed ways

Exemplary embodiments of the present disclosure are described below with reference to the accompanying drawings, which include various details of the embodiments of the present disclosure to facilitate understanding and should be considered as exemplary only. Accordingly, those of ordinary skill in the art will recognize that various changes and modifications of the embodiments described herein can be made without departing from the scope and spirit of the present disclosure. Also, descriptions of well-known functions and mechanisms are omitted from the following description for clarity and conciseness.

FIG. 1 is a schematic diagram according to a first embodiment of the present disclosure. As shown in FIG. 1 , the automatic driving method of this embodiment specifically includes the following steps:

S101. Obtain driver information of a vehicle, where the driver information is one of a driver and no driver;

S102. Control the vehicle to perform automatic driving according to a target driving strategy corresponding to the driver information, wherein the target driving strategy corresponding to the driver information with a driver is a first driving strategy, and the driving strategy without a driver The target driving strategy corresponding to the operator information is the second driving strategy.

In the automatic driving method of this embodiment, the driver information of the vehicle is first obtained, and then the vehicle is controlled to perform automatic driving according to the target driving strategy corresponding to the driver information. The driving strategy enables the vehicle to perform automatic driving according to different driving strategies under the condition of different driver information, thereby improving the flexibility and safety of the vehicle during automatic driving.

The vehicle in this embodiment may be a taxi, a family car, a shuttle bus, a bus, and the like with automatic driving capability.

The driver information obtained by executing S101 in this embodiment is specifically whether there is a driver in the vehicle or there is no driver in the vehicle; wherein, the driver in this embodiment may be a person (driver) driving the vehicle, or may be used to ensure the safety of the vehicle Driving safety officer.

When performing S101 to obtain the driver information of the vehicle in this embodiment, an optional implementation method that may be adopted is: performing personnel detection on the driving seat in the vehicle, and in this embodiment, an in-vehicle camera or a driving position sensor may be used to detect the personnel in the driving seat Detect; obtain the driver information according to the person detection result, specifically, obtain the driver information with the driver when a person is detected in the driving seat, otherwise obtain the driver information without the driver.

That is to say, this embodiment obtains the driver information of the vehicle through the sensing device existing in the vehicle. Since the sensing device in the vehicle can detect people in the driving position in real time, this embodiment can improve the accuracy of the obtained driver information. accuracy.

When acquiring the driver information of the vehicle in S101 in this embodiment, the following methods may also be used: acquiring the driving information of the vehicle, and the driving information acquired in this embodiment may include the driving tasks of the vehicle (for example, a closed road pick-up task, an open road reception task etc.), at least one of information such as the driving route of the vehicle and the driving area of the vehicle; the driver information corresponding to the acquired driving information is taken as the driver information of the vehicle.

Before executing S101 in this embodiment, the correspondence between different driving information and different driver information may also be preset, for example, the driver information corresponding to line A is no driver and the driver information corresponding to task A In this embodiment, the driver information can be obtained according to the obtained driving information through the preset corresponding relationship, and the preset corresponding relationship can be stored locally in the vehicle or in a cloud server.

That is to say, in this embodiment, the driver information of the vehicle is obtained through the driving information of the vehicle, especially in the case where there is no sensing device in the vehicle or the existing sensing device is faulty, the process of obtaining the driver information can be further improved. Success rate.

In addition, when S101 is executed in this embodiment, the driver information of the vehicle can also be acquired according to a preset time interval, and by continuously acquiring the driver information, it is possible to avoid the occurrence of personnel changes in the driving seat and driving of the vehicle during driving. When the route changes, etc., the driver information after the change cannot be obtained in time.

In this embodiment, after S101 is executed to obtain the driver information of the vehicle, S102 is executed to control the vehicle to perform automatic driving according to the target driving strategy corresponding to the driver information.

Wherein, in this embodiment, the target driving strategy corresponding to the driver information with the driver is the first driving strategy, and the target driving strategy corresponding to the driver information without the driver is the second driving strategy; the different driving strategies include Different perception strategies, different control strategies and different exception handling strategies.

Usually, when the vehicle is in an emergency, if there is a driver in the vehicle, the driver can take over the vehicle; if there is no driver in the vehicle, the vehicle needs to handle it by itself. Therefore, in general, the target driving strategy corresponding to the driver information without a driver is conservative, and the target driving strategy corresponding to the driver information with a driver is more aggressive.

In this embodiment, when S102 is executed, the determined first driving strategy includes a first perception strategy, a first control strategy, and a first abnormality handling strategy; in this embodiment, when S102 is executed, the determined second driving strategy includes a second driving strategy. A perception strategy, a second control strategy, and a second exception handling strategy.

Specifically, the first sensing strategy in this embodiment is used to control the vehicle to turn on the basic sensing device; the second sensing strategy in this embodiment is used to control the vehicle to turn on the enhanced sensing device on the basis of turning on the basic sensing device.

Wherein, the basic sensing device in this embodiment may be a sensing device on the vehicle for sensing the surrounding environment, and the enhanced sensing device may be a sensing device on the vehicle for sensing the blind spot of the vehicle.

That is to say, in this embodiment, when it is determined that there is a driver in the vehicle, only part of the sensing devices on the vehicle are turned on to meet the basic perception requirements, and the existence of small-scale blind spots is appropriately allowed. In this case, all sensing devices on the vehicle are turned on to avoid the existence of blind spots, realize the use of different sensing capabilities in different operating modes, and further save the computing power of the vehicle.

Specifically, the first control strategy in this embodiment is used to control the vehicle to enable the extended driving function set on the basis of enabling the basic driving function set; the second control strategy in this embodiment is used to control the vehicle to enable the basic driving function set .

Among them, the basic driving function set in this embodiment may include functions such as starting, lane keeping, lane changing, following, crossing, and stopping at a stop, and the extended driving function set may include detour avoidance, deceleration avoidance and other functions.

In addition, the extended driving function set in this embodiment may also include all functions in the basic driving function set; the difference is that the same driving function located in different driving function sets has different driving parameters.

For example, for the car following function, the car following function in the extended driving function set in this embodiment has a higher following speed than the car following function in the basic driving function set; for the lane changing function , in this embodiment, the lane changing function located in the extended driving function set has a larger lane change amplitude than the lane changing function located in the basic driving function set.

That is to say, in this embodiment, when it is determined that there is a driver in the vehicle, all driving functions of the vehicle are turned on, and when it is determined that there is no driver in the vehicle, part of the driving functions of the vehicle are turned on, so as to realize different operation modes. Use different driving functions to further improve the safety of the vehicle.

Specifically, the first exception handling strategy is used to control the vehicle to display detected vehicle anomalies, and the second exception handling strategy is used to control the vehicle to handle the detected vehicle anomalies; wherein, the second exception handling strategy may further include Preset actions such as deceleration, braking, etc.

That is to say, in this embodiment, when it is determined that there is no driver in the vehicle, the vehicle itself uses preset processing measures to process the abnormality of the vehicle, and when it is determined that there is a driver in the vehicle, it is only necessary to display the abnormality of the vehicle , the driver handles the abnormality of the vehicle, so as to avoid unnecessary and unreasonable deceleration and braking.

In this embodiment, when the vehicle is controlled to perform automatic driving according to the target driving strategy corresponding to the driver information in S102, the following contents may be further included: determining the driving mode of the vehicle; controlling the vehicle to perform automatic driving according to the target driving strategy and the determined driving mode Autopilot.

The driving mode determined by the execution of S102 in this embodiment may include one of a somatosensory mode, a safety mode, an efficiency mode, a power mode, and an energy-saving mode. The task and passenger attribute information are determined (for example, the driving mode corresponding to the closed road pick-up task is the efficiency mode, the driving mode corresponding to the open road pick-up task is the safety mode, the driving mode corresponding to the male passenger is the power mode, etc.); wherein, Different driving modes focus on different driving indicators. Energy-saving mode focuses on energy-saving indicators, somatosensory mode focuses on somatosensory indicators, and safety mode focuses on safety indicators.

That is to say, in this embodiment, when controlling the vehicle to perform automatic driving, on the basis of using the target driving strategy corresponding to the driver information, the driving mode of the vehicle is also combined, so that the automatic driving of the vehicle can take into account the target driving at the same time. strategy and driving indicators corresponding to driving modes, so as to further improve the automatic driving performance of the vehicle.

In this embodiment, when the vehicle is controlled to perform automatic driving according to the target driving strategy corresponding to the driver information in S102, the following content may be further included: determining the driving style of the vehicle, and the driving style determined in this embodiment may be a conservative driving style and a One of the aggressive driving styles, which can determine the driving style according to the passengers in the vehicle or the driving task of the vehicle; adjust the target driving strategy according to the determined driving style, and control the vehicle to perform automatic driving according to the adjusted target driving strategy.

That is to say, this embodiment can also adjust the target driving strategy in combination with the driving style of the vehicle, so that the adjusted target driving strategy is more suitable for the passengers in the vehicle or the driving task of the vehicle, and further improves the automatic driving of the vehicle. time flexibility.

In addition, when S102 is executed in this embodiment, the vehicle may be controlled to perform automatic driving in combination with the three types of information: target driving strategy, driving mode and driving style. For example, the target driving strategy is first adjusted according to the driving style, and then the target driving strategy Target driving strategy and driving mode to control the vehicle for autonomous driving.

Wherein, when determining the driving style of the vehicle in S102 in this embodiment, the following methods may be adopted: acquiring target attribute information corresponding to the passengers in the vehicle, and the acquisition method of the target attribute information will be described below; The driving style determined in this embodiment may be one of conservative driving style and aggressive driving style. In this embodiment, the corresponding relationship between target attribute information and driving style may be preset, such as corresponding to male passengers. The driving style is an aggressive driving style, and the driving style corresponding to an elderly passenger is a conservative driving style.

In this embodiment, when the target driving strategy is adjusted according to the driving style in S102, the control strategy in the target driving strategy is mainly adjusted, specifically, the driving parameters of the driving function in the corresponding control strategy are increased or decreased.

For example, when the target driving strategy is the second driving strategy, if the determined driving style is the aggressive driving style, this embodiment may increase the following speed of the following function in the second control strategy when executing S102 ; When the target driving strategy is the first driving strategy, if the determined driving style is a conservative driving style, this embodiment reduces the following speed of the following function in the first control strategy when executing S103.

FIG. 2 is a schematic diagram of a second embodiment according to the present disclosure. As shown in FIG. 2 , the automatic driving method of this embodiment may further include the following contents:

S201. Obtain target attribute information corresponding to a passenger in the vehicle;

S202, determining a target style corresponding to the target attribute information, where the target style is a target interaction style and/or a target display style;

S203. Adjust the interaction style and/or display style of the vehicle according to the target style.

That is to say, this embodiment can also adjust the interaction style and/or display style of the vehicle according to the target attribute information corresponding to the passengers in the vehicle, so that the interaction style and/or display style of the vehicle is more suitable for the passengers in the vehicle , so as to realize the adaptive adjustment of the interaction style and/or display style in the vehicle, and further improve the passenger's riding experience.

When executing S201 in this embodiment to obtain the target attribute information corresponding to the passengers in the vehicle, an optional implementation method that may be adopted is: obtaining the attribute information of all passengers in the vehicle, and the attribute information obtained in this embodiment may include the age and gender of the passengers. , occupation and other different categories of information; the attribute information with the most occurrences in the attribute information of the same category is regarded as the category attribute information of the category; the category attribute information corresponding to different categories is regarded as the target attribute information.

In this embodiment, when S201 is executed to obtain the target attribute information corresponding to the passengers in the vehicle, the following methods may also be used: obtaining the attribute information of the passengers located in a preset position in the vehicle, and the preset position may be the co-pilot position in the vehicle, the rear The position on the right side of the row, etc.; the acquired attribute information is used as the target attribute information.

In this embodiment, when S201 is executed to obtain the attribute information of the passengers in the vehicle, the camera in the vehicle can be used for identification, and the attribute information can be obtained according to the identification result; the attribute information can also be obtained according to the information input or registered by the passengers.

In this embodiment, the target style determined in S202 includes at least one of a target interaction style and a target display style; different interaction styles correspond to different interactive timbres, different interaction frequencies, etc., when the vehicle performs human-machine interaction with passengers. ; Display style, corresponding to the different display colors of the ambient lights in the vehicle, the different display interfaces of the central control screen, etc.

For example, male passengers may prefer a concise and technologically-sense interaction style and/or display style, female passengers may prefer a gorgeous and cute interaction style and/or display style; elderly passengers may prefer a nostalgic and calm interaction style and/or Display style, young passengers may prefer a stylish, two-dimensional interaction style and/or display style.

In addition, after the execution of S203 in this embodiment, the following content may be further included: determining the interaction content corresponding to the driving information of the vehicle, for example, using the task information corresponding to the driving task as the interaction content, and using the area information corresponding to the driving area as the interaction content content, etc.; provide the determined interactive content to the passengers in the vehicle, for example, in the form of voice broadcast, or the form of display on the central control screen.

FIG. 3 is a schematic diagram of a third embodiment according to the present disclosure. As shown in FIG. 3 , the automatic driving device 300 of this embodiment, located in the automatic driving vehicle, includes:

Obtaining unit 301, configured to obtain driver information of the vehicle, where the driver information is one of a driver and no driver;

The control unit 302 is configured to control the vehicle to perform automatic driving according to a target driving strategy corresponding to the driver information, wherein the target driving strategy corresponding to the driver information with a driver is the first driving strategy, and the target driving strategy corresponding to the driver information with no driver The target driving strategy corresponding to the driver's driver information is the second driving strategy.

The vehicle in this embodiment may be a taxi, a family car, a shuttle bus, a bus, and the like with automatic driving capability.

The driver information acquired by the acquiring unit 301 is specifically whether there is a driver in the vehicle or there is no driver in the vehicle; wherein, the driver in this embodiment may be a person driving the vehicle, or may be a safety officer who ensures the safe driving of the vehicle.

When the obtaining unit 301 obtains the driver information of the vehicle, an optional implementation manner that may be adopted is: performing personnel detection on the driving seat in the vehicle; obtaining the driver information according to the personnel detection result, specifically when detecting that there is a person in the driving seat In the case of , obtain the driver information with a driver, otherwise obtain the driver information without a driver.

That is to say, the obtaining unit 301 obtains the driver information of the vehicle through the sensing device existing in the vehicle. Since the sensing device in the vehicle can detect people in the driving seat in real time, this embodiment can improve the accuracy of the obtained driver information. accuracy.

When acquiring the driver information of the vehicle, the acquiring unit 301 may also adopt the following methods: acquiring the driving information of the vehicle; and using the driver information corresponding to the acquired driving information as the driver information of the vehicle.

The obtaining unit 301 may also preset the corresponding relationship between different driving information and different driver information, and through the preset corresponding relationship, the driver information can be obtained according to the obtained driving information, and the preset corresponding relationship can be obtained. Relationships can be stored locally on the vehicle or on a cloud server.

That is to say, the obtaining unit 301 obtains the driver information of the vehicle through the driving information of the vehicle, especially when there is no sensing device in the vehicle or the existing sensing device is faulty, it can further improve the accuracy of obtaining the driver information. Success rate.

In addition, the obtaining unit 301 can also obtain the driver information of the vehicle according to preset time intervals, and by continuously obtaining the driver information, it is possible to avoid situations such as changes in the driver's seat and changes in the driving route during the driving of the vehicle. When the driver information is changed, the driver information after the change cannot be obtained in time.

In this embodiment, after the obtaining unit 301 obtains the driver information of the vehicle, the control unit 302 controls the vehicle to perform automatic driving according to the target driving strategy corresponding to the driver information.

The target driving strategy determined by the control unit 302 corresponding to the driver information with a driver is the first driving strategy, and the target driving strategy corresponding to the driver information without a driver is the second driving strategy; different driving strategies It contains different perception strategies, different control strategies and different exception handling strategies.

Usually, when the vehicle is in an emergency, if there is a driver in the vehicle, the driver can take over the vehicle; if there is no driver in the vehicle, the vehicle needs to handle it by itself. Therefore, in general, the target driving strategy corresponding to the driver information without a driver is conservative, and the target driving strategy corresponding to the driver information with a driver is more aggressive.

The first driving strategy determined by the control unit 302 and corresponding to the driver information includes a first perception strategy, a first control strategy and a first abnormality handling strategy; the target driving strategy determined by the control unit 303 and corresponding to no driver information It includes a second perception strategy, a second control strategy and a second exception handling strategy.

When controlling the vehicle to perform automatic driving according to the target driving strategy corresponding to the driver information, the control unit 302 may further include the following contents: determining the driving mode of the vehicle; controlling the vehicle to perform automatic driving according to the target driving strategy and the determined driving mode .

The driving mode determined by the control unit 302 may include one of a somatosensory mode, a safety mode, an efficiency mode, a power mode, and an energy-saving mode. Passenger attribute information is determined; among them, different driving modes focus on different driving indicators, energy-saving mode focuses on energy-saving indicators, somatosensory mode focuses on somatosensory indicators, and safety mode focuses on safety indicators.

That is to say, when the control unit 302 controls the vehicle to perform automatic driving, on the basis of using the target driving strategy corresponding to the driver information, it will also combine the driving mode of the vehicle, so that the automatic driving of the vehicle can take into account the target driving strategy and the driving mode at the same time. The driving indicators corresponding to the driving mode can further improve the automatic driving performance of the vehicle.

When controlling the vehicle to perform automatic driving according to the target driving strategy corresponding to the driver information, the control unit 302 may further include the following contents: determining the driving style of the vehicle; adjusting the target driving strategy according to the determined driving style, The target driving strategy controls the vehicle for autonomous driving.

The control unit 302 can also combine the three kinds of information of the target driving strategy, driving mode and driving style to control the vehicle to perform automatic driving. For example, the control unit 302 first adjusts the target driving strategy according to the driving style, and then according to the adjusted target driving strategy and the driving style. Driving mode, which controls the vehicle for autonomous driving.

Wherein, when determining the driving style of the vehicle, the control unit 302 may adopt the following methods: acquire target attribute information corresponding to the passengers in the vehicle; and determine the driving style corresponding to the acquired target attribute information.

When adjusting the target driving strategy according to the driving style, the control unit 302 mainly adjusts the control strategy in the target driving strategy, and specifically increases or decreases the driving parameter of the driving function in the corresponding control strategy.

The automatic driving device 300 of this embodiment may further include an adjustment unit 303 for performing the following: acquiring target attribute information corresponding to the passengers in the vehicle; determining a target style corresponding to the target attribute information, where the target style is the target interaction style and /or target display style; according to the target style, adjust the interaction style and/or display style of the vehicle.

When the adjustment unit 303 acquires the target attribute information corresponding to the passengers in the vehicle, an optional implementation method that can be adopted is: acquiring the attribute information of all the passengers in the vehicle; The category attribute information of the category; the category attribute information corresponding to different categories is used as the target attribute information.

When acquiring the target attribute information corresponding to the passengers in the vehicle, the adjusting unit 303 may also adopt the following methods: acquire the attribute information of the passengers located in the preset position in the vehicle; and use the acquired attribute information as the target attribute information.

When the adjustment unit 303 acquires the attribute information of the passengers in the vehicle, it can identify through the camera in the vehicle, and obtain the attribute information according to the identification result; it can also obtain the attribute information according to the information input or registered by the passengers.

The target style determined by the adjustment unit 303 includes at least one of the target interaction style and the target display style; different interaction styles correspond to different interactive timbres, different interaction frequencies, etc., when the vehicle interacts with passengers in a human-machine interaction; display The style corresponds to the different display colors of the ambient lights in the vehicle, the different display interfaces of the central control screen, etc.

In addition, the adjusting unit 303 may further perform the following: determine the interactive content corresponding to the driving information of the vehicle; and provide the determined interactive content to the passengers in the vehicle.

In the technical solution of the present disclosure, the acquisition, storage and application of the user's personal information involved are all in compliance with the provisions of relevant laws and regulations, and do not violate public order and good customs.

According to embodiments of the present disclosure, the present disclosure also provides an electronic device, a readable storage medium, and a computer program product.

As shown in FIG. 4 , it is a block diagram of an electronic device of an automatic driving method according to an embodiment of the present disclosure. Electronic devices are intended to represent various forms of digital computers, such as laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. Electronic devices may also represent various forms of mobile devices, such as personal digital processors, cellular phones, smart phones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions are by way of example only, and are not intended to limit implementations of the disclosure described and/or claimed herein.

As shown in FIG. 4 , the device 400 includes a computing unit 401 that can be executed according to a computer program stored in a read only memory (ROM) 402 or loaded from a storage unit 408 into a random access memory (RAM) 403 Various appropriate actions and handling. In the RAM 403, various programs and data necessary for the operation of the device 400 can also be stored. The computing unit 401 , the ROM 402 and the RAM 403 are connected to each other through a bus 404 . An input/output (I/O) interface 405 is also connected to bus 404 .

Various components in device 400 are connected to I/O interface 405, including: input unit 406, such as keyboard, mouse, etc.; output unit 407, such as various types of displays, speakers, etc.; storage unit 408, such as magnetic disk, optical disk etc.; and a communication unit 409, such as a network card, modem, wireless communication transceiver, and the like. The communication unit 409 allows the device 400 to exchange information/data with other devices through a computer network such as the Internet and/or various telecommunication networks.

Computing unit 401 may be various general-purpose and/or special-purpose processing components with processing and computing capabilities. Some examples of computing units 401 include, but are not limited to, central processing units (CPUs), graphics processing units (GPUs), various specialized artificial intelligence (AI) computing chips, various computing units that run machine learning model algorithms, digital signal processing processor (DSP), and any suitable processor, controller, microcontroller, etc. The computing unit 401 executes the various methods and processes described above, such as the automatic driving method. For example, in some embodiments, an autonomous driving method may be implemented as a computer software program tangibly embodied on a machine-readable medium, such as storage unit 408 .

In some embodiments, part or all of the computer program may be loaded and/or installed on device 400 via ROM 402 and/or communication unit 409 . When the computer program is loaded into RAM 403 and executed by computing unit 401, one or more steps of the automatic driving method described above may be performed. Alternatively, in other embodiments, the computing unit 401 may be configured to perform the automated driving method by any other suitable means (eg, by means of firmware).

Various implementations of the systems and techniques described herein may be implemented in digital electronic circuitry, integrated circuit systems, field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), systems on a chip System (SOC), Complex Programmable Logic Device (CPLD), computer hardware, firmware, software, and/or combinations thereof. These various embodiments may include being implemented in one or more computer programs executable and/or interpretable on a programmable system including at least one programmable processor that The processor, which may be a special purpose or general-purpose programmable processor, may receive data and instructions from a storage system, at least one input device, and at least one output device, and transmit data and instructions to the storage system, the at least one input device, and the at least one output device an output device.

Program code for implementing the methods of the present disclosure may be written in any combination of one or more programming languages. Such program codes may be provided to a general purpose computer, special purpose computer, or a processor or controller of other programmable autonomous driving devices, such that the program code, when executed by the processor or controller, causes the functions/functions specified in the flowcharts and/or block diagrams Action is implemented. The program code may execute entirely on the machine, partly on the machine, partly on the machine and partly on a remote machine as a stand-alone software package or entirely on the remote machine or server.

In the context of the present disclosure, a machine-readable medium may be a tangible medium that may contain or store a program for use by or in connection with the instruction execution system, apparatus or device. The machine-readable medium may be a machine-readable signal medium or a machine-readable storage medium. Machine-readable media may include, but are not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, devices, or devices, or any suitable combination of the foregoing. More specific examples of machine-readable storage media would include one or more wire-based electrical connections, portable computer disks, hard disks, random access memory (RAM), read only memory (ROM), erasable programmable read only memory (EPROM or flash memory), fiber optics, compact disk read only memory (CD-ROM), optical storage, magnetic storage, or any suitable combination of the foregoing.

To provide interaction with a user, the systems and techniques described herein may be implemented on a computer having a presentation device (eg, a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for presenting information to the user device); and a keyboard and pointing device (eg, a mouse or trackball) through which a user can provide input to the computer. Other kinds of devices can also be used to provide interaction with the user; for example, the feedback provided to the user can be any form of sensory feedback (eg, visual feedback, auditory feedback, or tactile feedback); and can be in any form (including acoustic input, voice input, or tactile input) to receive input from the user.

The systems and techniques described herein may be implemented on a computing system that includes back-end components (eg, as a data server), or a computing system that includes middleware components (eg, an application server), or a computing system that includes front-end components (eg, a user's computer having a graphical user interface or web browser through which a user may interact with implementations of the systems and techniques described herein), or including such backend components, middleware components, Or any combination of front-end components in a computing system. The components of the system may be interconnected by any form or medium of digital data communication (eg, a communication network). Examples of communication networks include: Local Area Networks (LANs), Wide Area Networks (WANs), and the Internet.

A computer system can include clients and servers. Clients and servers are generally remote from each other and usually interact through a communication network. The relationship of client and server arises by computer programs running on the respective computers and having a client-server relationship to each other. The server can be a cloud server, also known as a cloud computing server or a cloud host. It is a host product in the cloud computing service system to solve the traditional physical host and VPS services ("Virtual Private Server", or "VPS" for short) , there are the defects of difficult management and weak business expansion. The server can also be a server of a distributed system, or a server combined with a blockchain.

The present disclosure also provides an automatic driving vehicle, which may include the apparatus 400 of the above-mentioned embodiment, and the apparatus 400 is used to execute the automatic driving method of the embodiment of the present disclosure.

It should be understood that steps may be reordered, added or deleted using the various forms of flow shown above. For example, the steps described in the present disclosure can be executed in parallel, sequentially, or in different orders, as long as the desired results of the technical solutions disclosed in the present disclosure can be achieved, no limitation is imposed herein.

The above-mentioned specific embodiments do not constitute a limitation on the protection scope of the present disclosure. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions may occur depending on design requirements and other factors. Any modifications, equivalent replacements, and improvements made within the spirit and principles of the present disclosure should be included within the protection scope of the present disclosure.

Claims (18)

1. An autonomous driving method comprising:

acquiring driver information of a vehicle, wherein the driver information is one of a driver and a non-driver;

and controlling the vehicle to automatically drive according to a target driving strategy corresponding to the driver information, wherein the target driving strategy corresponding to the driver information with the driver is a first driving strategy, and the target driving strategy corresponding to the driver information without the driver is a second driving strategy.

2. The method of claim 1, wherein the obtaining driver information for a vehicle comprises:

performing person detection on a driving seat in the vehicle;

and acquiring the driver information of the vehicle according to the personnel detection result.

3. The method of claim 1, wherein the obtaining driver information for a vehicle comprises:

acquiring the driving information of the vehicle;

and using the driver information corresponding to the running information as the driver information of the vehicle.

4. A method according to any one of claims 1-3, wherein the first driving strategy comprises a first perception strategy, a first control strategy and a first exception handling strategy;

the second driving strategy comprises a second perception strategy, a second control strategy and a second abnormity processing strategy.

5. The method according to any one of claims 1-4, wherein the controlling the vehicle for autonomous driving according to a target driving strategy corresponding to the driver information comprises:

determining a driving mode of the vehicle;

and controlling the vehicle to automatically drive according to the target driving strategy and the driving mode.

6. The method according to any one of claims 1-5, wherein the controlling the vehicle for autonomous driving according to a target driving strategy corresponding to the driver information comprises:

determining a driving style of the vehicle;

and adjusting the target driving strategy according to the driving style, and controlling the vehicle to automatically drive according to the adjusted target driving strategy.

7. The method of any of claims 1-6, further comprising,

acquiring target attribute information corresponding to passengers in the vehicle;

determining a target style corresponding to the target attribute information, wherein the target style is a target interaction style and/or a target display style;

and adjusting the interaction style and/or the display style of the vehicle according to the target style.

8. An autopilot device comprising:

the device comprises an acquisition unit, a processing unit and a control unit, wherein the acquisition unit is used for acquiring driver information of a vehicle, and the driver information is one of a driver and a non-driver;

and the control unit is used for controlling the vehicle to automatically drive according to a target driving strategy corresponding to the driver information, wherein the target driving strategy corresponding to the driver information with the driver is a first driving strategy, and the target driving strategy corresponding to the driver information without the driver is a second driving strategy.

9. The apparatus according to claim 8, wherein the acquisition unit, when acquiring the driver information of the vehicle, specifically performs:

performing personnel detection on a driving position in the vehicle;

and acquiring the driver information of the vehicle according to the personnel detection result.

10. The apparatus according to claim 8, wherein the acquisition unit, when acquiring the driver information of the vehicle, specifically performs:

acquiring the driving information of the vehicle;

and using the driver information corresponding to the running information as the driver information of the vehicle.

11. The apparatus of any of claims 8-10, wherein the first driving strategy includes a first perception strategy, a first control strategy, and a first exception handling strategy;

the second driving strategy comprises a second perception strategy, a second control strategy and a second abnormity processing strategy.

12. The apparatus according to any one of claims 8 to 11, wherein the control unit, when controlling the vehicle to autonomously drive in accordance with a target driving strategy corresponding to the driver information, specifically performs:

determining a driving mode of the vehicle;

and controlling the vehicle to automatically drive according to the target driving strategy and the driving mode.

13. The apparatus according to any one of claims 8 to 12, wherein the control unit, when controlling the vehicle to perform automatic driving in accordance with a target driving policy corresponding to the driver information, specifically performs:

determining a driving style of the vehicle;

and adjusting the target driving strategy according to the driving style, and controlling the vehicle to automatically drive according to the adjusted target driving strategy.

14. The apparatus according to any of claims 8-13, further comprising an adjustment unit for performing:

acquiring target attribute information corresponding to passengers in the vehicle;

determining a target style corresponding to the target attribute information, wherein the target style is a target interaction style and/or a target display style;

and adjusting the interaction style and/or the display style of the vehicle according to the target style.

15. An electronic device, comprising:

at least one processor; and

a memory communicatively coupled to the at least one processor; wherein,

the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method of any one of claims 1-7.

16. A non-transitory computer readable storage medium having stored thereon computer instructions for causing the computer to perform the method of any one of claims 1-7.

17. A computer program product comprising a computer program which, when executed by a processor, implements the method according to any one of claims 1-7.

18. An autonomous vehicle comprising the electronic device of claim 15.

Images