CN114312841A

CN114312841A - Vehicle information processing method, device, electronic equipment and storage medium

Info

Publication number: CN114312841A
Application number: CN202111680642.7A
Authority: CN
Inventors: 王子岩; 刘杨; 夏娜; 孙佳鹏; 赵腾飞
Original assignee: Apollo Zhilian Beijing Technology Co Ltd
Current assignee: Apollo Zhilian Beijing Technology Co Ltd
Priority date: 2021-12-31
Filing date: 2021-12-31
Publication date: 2022-04-12

Abstract

The disclosure provides a vehicle information processing method, relates to the technical field of computers, and particularly relates to technologies of automatic driving, automatic parking, vehicle networking and the like. The specific implementation scheme is as follows: acquiring current position information of a target vehicle; determining a first target autonomous driving mode from a plurality of autonomous driving modes according to the target location information and the current location information; controlling the target vehicle to perform a corresponding operation based on the first target automatic driving mode; determining a second target autonomous driving mode from among autonomous driving modes other than the first target autonomous driving mode from among the plurality of autonomous driving modes in response to determining that the target vehicle exits the first target driving mode; and controlling the target vehicle to perform a corresponding operation based on the second target automatic driving mode, wherein at least one of the current position information and the target position information represents a parking area. The present disclosure also provides a vehicle information processing apparatus, an electronic device, and a storage medium.

Description

Vehicle information processing method, device, electronic equipment and storage medium

Technical Field

The present disclosure relates to the field of computer technologies, and in particular, to technologies such as automatic driving, automatic parking, and vehicle networking. More specifically, the present disclosure provides a vehicle information processing method, apparatus, electronic device, and storage medium.

Background

Based on the autonomous driving technique, the vehicle may perform the following operations: automatic parking into a parking space, automatic parking out of a parking space or automatic driving on a road.

Disclosure of Invention

The disclosure provides a vehicle information processing method, apparatus, device and storage medium.

According to a first aspect, there is provided a vehicle information processing method including: acquiring current position information of a target vehicle; determining a first target automatic driving mode from a plurality of automatic driving modes according to the target position information and the current position information; controlling the target vehicle to execute corresponding operation based on the first target automatic driving mode; determining a second target autonomous driving mode from among autonomous driving modes other than the first target autonomous driving mode among the plurality of autonomous driving modes in response to determining that the target vehicle exits the first target driving mode; and controlling the target vehicle to perform a corresponding operation based on the second target automatic driving mode, wherein at least one of the current position information and the target position information represents a parking area.

According to a second aspect, there is provided a vehicle information processing method including: under the condition that the current position information represents the parking area, sending target position information to a target vehicle; and under the condition that the target position information is determined to represent the parking area, responding to the acquisition of the first request, and sending the target position information to the target vehicle.

According to a third aspect, there is provided a vehicle information processing apparatus including: the acquisition module is used for acquiring the current position information of the target vehicle; a first determining module, configured to determine a first target automatic driving mode from a plurality of automatic driving modes according to target location information and the current location information; the first control module is used for controlling the target vehicle to execute corresponding operation based on the first target automatic driving mode; a second determination module for determining a second target autonomous driving mode from among autonomous driving modes other than the first target autonomous driving mode among the plurality of autonomous driving modes in response to determining that the target vehicle exits the first target autonomous driving mode; and a second control module configured to control the target vehicle to perform a corresponding operation based on the second target automatic driving mode, wherein at least one of the current position information and the target position information represents a parking area.

According to a fourth aspect, there is provided a vehicle information processing apparatus including: the first sending module is used for sending target position information to a target vehicle under the condition that the current position information represents a parking area; and the second sending module is used for responding to the first request and sending the target position information to the target vehicle under the condition that the target position information represents the parking area.

According to a fifth aspect, there is provided 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 a method provided in accordance with the present disclosure.

According to a sixth aspect, there is provided a non-transitory computer readable storage medium having stored thereon computer instructions for causing a computer to perform a method provided in accordance with the present disclosure.

According to a seventh aspect, there is provided a computer program product comprising a computer program which, when executed by a processor, implements a method provided according to the present disclosure.

According to an eighth aspect, an autonomous vehicle is provided that includes the electronic device provided by the present disclosure.

It should be understood that the statements in this section do not necessarily identify key or critical features of the embodiments of the present disclosure, nor do they limit the scope of the present disclosure. Other features of the present disclosure will become apparent from the following description.

Drawings

The drawings are included to provide a better understanding of the present solution and are not to be construed as limiting the present disclosure. Wherein:

FIG. 1A is a schematic diagram of an exemplary application scenario in which the vehicle information processing method and apparatus may be applied, according to one embodiment of the present disclosure;

FIG. 1B is a schematic diagram of an exemplary application scenario to which a vehicle information processing method and apparatus may be applied, according to another embodiment of the present disclosure

FIG. 2 is a flow diagram of a vehicle information processing method according to one embodiment of the present disclosure;

FIG. 3 is a flow chart of a vehicle information processing method according to another embodiment of the present disclosure;

FIG. 4 is a flow chart of a vehicle information processing method according to another embodiment of the present disclosure;

FIG. 5 is a flow chart of a vehicle information processing method according to another embodiment of the present disclosure;

FIG. 6 is a schematic diagram of a vehicle information processing method according to another embodiment of the present disclosure;

FIG. 7 is a block diagram of a vehicle information processing device according to one embodiment of the present disclosure;

FIG. 8 is a block diagram of a vehicle information processing device according to one embodiment of the present disclosure; and

fig. 9 is a block diagram of an electronic device to which a vehicle information processing method may be applied according to one embodiment of the present disclosure.

Detailed Description

Exemplary embodiments of the present disclosure are described below with reference to the accompanying drawings, in which various details of the embodiments of the disclosure are included to assist understanding, and which are to be considered as merely exemplary. 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 constructions are omitted in the following description for clarity and conciseness.

According to a manual-based vehicle information processing method, a driver parks a vehicle out of a parking area and drives the vehicle to a start point of a preset task. And controlling the vehicle to execute a preset task based on the automatic driving technology. The method needs to depend on manual control of vehicle running, and the automatic driving capability is not good.

According to another automatic parking-based vehicle information processing method, a vehicle may be parked from a parking area to a position near the parking area based on an automatic parking-out technique. Next, the driver controls the vehicle to travel to the start point of the preset task. Alternatively, after the vehicle completes the preset task, the driver controls the vehicle to travel to a position near the parking area. And then, based on the automatic parking technology, the vehicle is parked in the parking area. The preset task may be performed based on an automatic driving technique. The method divides the task of controlling the vehicle to automatically execute the preset task and the task of executing the automatic parking into two scenes. Automation is respectively realized in the two scenes, but the switching between the two scenes cannot realize automation, and the two scenes are split.

Fig. 1A is a schematic diagram of an exemplary application scenario to which the vehicle information processing method and apparatus may be applied, according to one embodiment of the present disclosure.

As shown in fig. 1A, a vehicle 101 and a vehicle 102 can travel on a road. The vehicle 101 may be parked on the parking space 103. The vehicle 101 may be automatically parked from the parking space 103. Vehicle 101 may perform a preset task between station 104 and station 105.

Server 106 may communicate with vehicle 101 to send instructions to vehicle 101.

Fig. 1B is a schematic diagram of an exemplary application scenario to which the vehicle information processing method and apparatus may be applied, according to another embodiment of the present disclosure.

As shown in fig. 1B, the vehicle 101 and the vehicle 102 can travel on a road. Vehicle 101 may perform a preset task between station 104 and station 105. After the preset task is finished, the vehicle 101 may go to a position near the parking space 107. After reaching a location near parking space 107, vehicle 103 may automatically park in parking space 107.

It should be noted that fig. 1A or fig. 1B are only examples of application scenarios in which the embodiments of the present disclosure may be applied to help those skilled in the art understand the technical content of the present disclosure, but do not mean that the embodiments of the present disclosure may not be applied to other devices, systems, environments or scenarios.

Fig. 2 is a flowchart of a vehicle information processing method according to one embodiment of the present disclosure.

As shown in fig. 2, the method 200 may include operations S210 to S250. The method 200 may be applied to a vehicle end.

In operation S210, current location information of the target vehicle is acquired.

For example, the current location information may be geographic coordinates of the target vehicle.

In operation S220, a first target autonomous driving mode is determined from a plurality of autonomous driving modes based on the target location information and the current location information.

In an embodiment of the present disclosure, at least one of the current position information and the target position information is used to characterize the parking area.

For example, the current location information may characterize a parking area, and the target location information may characterize a non-parking area. In one example, the parking area may be, for example, parking space 103 in fig. 1A. The non-parking area may be, for example, station 104 in fig. 1A.

For another example, the current location information may characterize a non-parking area, and the target location information may characterize a parking area. In one example, the parking area may be, for example, parking space 107 in fig. 1B.

The non-parking area may be, for example, station 105 in fig. 1B.

In the disclosed embodiment, the plurality of autonomous driving modes may include an autonomous parking mode, and an autonomous driving mode.

For example, the auto-park mode may control the target vehicle to park in the parking area. In one example, based on the automatic parking mode, the target vehicle may be controlled to park in, for example, the parking space 103 in fig. 1A.

For example, the auto park mode may control the target vehicle to park out of the parking area. In one example, based on the automatic pull-out mode, the target vehicle may be controlled to pull out from, for example, the parking space 103 in fig. 1A.

For example, the automatic travel mode may control the target vehicle to travel along the travel route. In one example, based on the automatic travel mode, after parking from, for example, the parking space 103 in fig. 1A, the target vehicle may be controlled to travel to, for example, the station 104 in fig. 1A along the travel route.

In operation S230, the target vehicle is controlled to perform a corresponding operation based on the first target autonomous driving mode.

For example, based on the first target autonomous driving mode, the control target vehicle may be exited from the first target autonomous driving mode after the control target vehicle performs the corresponding operation.

In operation S240, in response to determining that the target vehicle exits the first target autonomous mode, a second target autonomous mode is determined from among autonomous modes other than the first target autonomous mode among the plurality of autonomous modes.

For example, the second target autonomous driving mode may be determined again after the target vehicle exits the first target driving mode.

In operation S250, the target vehicle is controlled to perform a corresponding operation based on the second target autonomous driving mode.

For example, based on the second target autonomous driving mode, the control target vehicle may be exited from the second target autonomous driving mode after the control target vehicle performs the corresponding operation.

Through the embodiment of the disclosure, the vehicle can be controlled to run based on the target position and the current position, so that the automatic driving of the whole scene is realized.

In some embodiments, the method 200 differs in that it further includes: and determining a driving route according to the current position information and the target position information. For example, at least one of the start point and the end point of the driving route characterizes a preset position corresponding to a parking area, and the distance between the preset position and the parking area is smaller than a preset distance threshold. In one example, the preset distance threshold may be 1 meter.

Fig. 3 is a flowchart of an information processing method of a vehicle according to another embodiment of the present disclosure.

As shown in fig. 3, the method 300 may include operations S310 to S370.

In operation S310, current location information of a target vehicle is acquired.

For example, the target location information may characterize, for example, station 104 in fig. 1A. Also for example, target position information may also be acquired.

Next, the method 300 may determine a first target autonomous driving mode from a plurality of autonomous driving modes, which will be described in detail with reference to operations S321 and S322.

In operation S321, it is determined whether the current location information represents a parking area?

In the disclosed embodiment, operation S322 may be performed in response to the current position information characterizing the parking area.

In the embodiment of the present disclosure, operation S370 may be performed in response to the current position information characterizing the non-parking area.

For example, it may be determined whether the current location information characterizes, for example, the parking space 103 in fig. 1A.

In operation S322, the auto park mode is determined as the first target auto drive mode.

For example, the auto park mode may be determined as the first target auto drive mode from among the plurality of auto drive modes described above.

Next, the method 300 may control the target vehicle to perform a corresponding operation based on the first target automatic driving mode, which will be described in detail with reference to operations S331 and S332

In operation S331, the target vehicle is controlled to be parked based on the automatic parking-out mode.

For example, the target vehicle is parked out of the parking area. In one example, the target vehicle may be parked out of the parking space 103.

In operation S332, the control target vehicle exits the automatic park-out mode.

For example, after the target vehicle parks out of the parking space 103, the target vehicle may be controlled to exit the automatic parking-out mode with a distance of 1 meter between the target vehicle and the parking space 103.

In operation S340, in response to determining that the target vehicle exits the automatic park-out mode, the automatic travel mode is determined as the second target automatic driving mode.

For example, the automatic travel mode may be determined as the first target automatic driving mode from among the automatic driving modes other than the automatic parking mode among the plurality of automatic driving modes described above.

Next, the method 300 may control the target vehicle to perform a corresponding operation based on the second target autonomous driving mode, which will be described in detail with reference to operations S351 and S352.

In operation S351, the control target vehicle travels along the travel route based on the automatic travel mode.

For example, in the present embodiment, the starting point of the driving route may be a preset position Loc _1 at a distance of 1 meter from the parking space 103, and the ending point of the driving route may be, for example, the station 104 in fig. 1A.

In operation S352, the target vehicle is controlled to exit the automatic travel mode in response to determining that the target vehicle travels to the target position.

For example, after the target vehicle travels to, for example, station 104 in fig. 1A, the target vehicle may be controlled to exit the automatic travel mode.

In operation S360, the control target vehicle performs a preset task.

For example, the preset task may be to travel back and forth between, for example, station 104 and station 105 in fig. 1A.

In operation S370, the flow ends.

Through the embodiment of the disclosure, the vehicle can be driven to the starting station of the preset task from the parking space continuously under the control of multiple automatic driving modes. The mobile terminal can drive to the initial station of the preset task without waiting for the next external instruction or the manual intervention.

In some embodiments, in response to the current location information characterizing the no-parking area, after operation S370 of method 300, the current location of the vehicle may be taken as a starting point of another driving route, and the target location may be taken as an ending point of the driving route. Next, the vehicle may be controlled to travel to the target position according to the travel route based on the automatic travel mode.

Fig. 4 is a flowchart of a vehicle information processing method according to another embodiment of the present disclosure.

As shown in fig. 4, the method 400 includes operations S410 to S460.

In operation S410, current location information of a target vehicle is acquired.

For example, the current location information of the target vehicle may be, for example, any location between station 104 and station 105 in fig. 1B. For example, target position information may also be acquired.

Next, the method 400 may determine a first target autonomous driving mode from a plurality of autonomous driving modes, which will be described in detail with reference to operation S421 and operation S422.

In operation S421, it is determined whether the target position information represents a parking area?

In the disclosed embodiment, operation S422 is performed in response to determining that the target position information characterizes a parking area.

In the disclosed embodiment, in response to determining that the target location information does not characterize a parking area, operation S460 is performed.

For example, it may be determined whether the target location information characterizes, for example, parking space 107 in FIG. 1B.

In operation S422, the automatic travel mode is determined as the first target automatic driving mode.

For example, the automatic travel mode may be determined as the first target automatic driving mode from among the plurality of automatic driving modes described above.

Next, the method 400 may control the target vehicle to perform a corresponding operation based on the first target autonomous driving mode, which will be described in detail with reference to operations S431 and S432.

In operation S431, the control target vehicle travels along the travel route based on the automatic travel mode.

For example, in this embodiment, the starting point of the travel route may be any of the positions described above, for example, between the station 104 and the station 105 in fig. 1B. The end point of the driving route may be a preset position Loc _2 at a distance of 1 meter from, for example, the parking space 107 in fig. 1B.

In operation S432, in response to determining that the target vehicle travels to the preset position, the target vehicle is controlled to exit the automatic travel mode.

For example, when the target vehicle travels to a preset position Loc _2 at a distance of 1 meter from the parking space 107, the automatic travel mode may be exited.

In operation S440, in response to determining that the target vehicle exits the automatic travel mode, the automatic parking mode is determined as the second target automatic driving mode.

For example, the auto-park mode may be determined as the second target auto-driving mode from among the plurality of auto-driving modes described above except for the auto-driving mode.

Next, the method 400 may control the target vehicle to perform a corresponding operation based on the second target autonomous driving mode, which will be described in detail with reference to operation S451 and operation S452.

In operation S451, the target vehicle is controlled to be parked based on the automatic parking mode.

For example, the target vehicle may be controlled to park in the parking space 107 from the preset position Loc _ 2.

In operation S452, the control target vehicle exits the automatic parking mode.

For example, after the target vehicle is parked in parking space 107, the target vehicle may be controlled to exit the automatic parking mode.

In operation S460, the flow ends.

Through the embodiment of the disclosure, after the preset task is finished, the vehicle can be automatically parked into the parking space from any position on the route corresponding to the preset task. It is not necessary to wait for human intervention after driving to the vicinity of the parking space (e.g., the preset position described above), and it is not necessary to wait for the next external command to park the parking space.

In some embodiments, the current location information may be obtained based on a high-precision map, and the target location information may be obtained based on a high-precision map.

Fig. 5 is a flowchart of a vehicle information processing method according to one embodiment of the present disclosure.

As shown in fig. 5, the method 500 may include operations S510 and S520. The method 500 may be applied to a server. In one example, the server may be a MaaS (Mobility as a Service) based server.

In operation S510, in the case where it is determined that the current location information represents a parking area, target location information is transmitted to the target vehicle.

For example, in a case where the target vehicle is in, for example, the parking space 103 in fig. 1A, the target position information may be transmitted to the target vehicle. In this case, the target location information may characterize station 104 in fig. 1A. Next, the target vehicle may proceed from the parking space 103 to the station 104 to perform a preset task.

In operation S520, in a case where it is determined that the target position information represents the parking area, the target position information is transmitted to the target vehicle in response to acquiring the first request.

For example, the first request may characterize back to the library, e.g., the first request may characterize returning the vehicle to the parking space. After acquiring the first request, the target location information may be transmitted to the target vehicle. In this case, the target location information may characterize, for example, the parking space 103 in fig. 1A. Next, the target vehicle may travel from any location between station 104 and station 105 back to parking space 103.

Through the embodiment of the disclosure, the server only needs to issue different target positions to the target vehicle before and after the vehicle executes the preset task. Interaction between the server and the vehicle is reduced, and resources are saved.

Fig. 6 is a schematic diagram of a vehicle information processing method according to one embodiment of the present disclosure.

As shown in fig. 6, the method 600 may be performed by the vehicle end 610 and the server 620 together.

After the target vehicle is started in the parking area, operation S6101 may be performed.

In operation S6101, a second request for acquiring the first target location information is transmitted.

For example, in the present embodiment, the second request may be sent in various ways, so that the server 620 may perform operation S6201.

In operation S6201, first target position information is transmitted to a target vehicle.

For example, the first target location information may characterize a first location, which may be, for example, station 104 in fig. 1A.

In this embodiment, after the server 620 executes the operation S6201, the vehicle end 610 may execute the operation S6102.

In operation S6102, a first target information position is acquired.

For example, first target location information transmitted by the server 620 may be acquired.

In operation S6103, current location information of the target vehicle is acquired.

For example, the current location information may be a geographic location coordinate.

In operation S6104, it is determined whether the current location information represents a parking area?

In the disclosed embodiment, in response to determining that the current location information characterizes a parking area, operation S6105 is performed.

In the disclosed embodiment, in response to determining that the current location information does not characterize a parking area, operation S6116 is performed. In operation S6116, the flow ends.

For example, the parking area may be, for example, the parking space 103 in fig. 1.

It will be appreciated that whether the current location information characterizes a parking area may be determined in various ways. For example, a difference between the coordinates of the parking space 103 and the coordinates of the target vehicle may be calculated, and when the difference is smaller than a preset difference range, it is determined that the current position information represents the parking area.

In operation S6105, the auto park mode is determined as the first target auto drive mode.

For example, from among the plurality of automatic driving modes described above, the automatic parking mode is determined as the first target automatic driving mode.

In operation S6106, the target vehicle is parked out of the parking area based on the automatic parking-out mode.

For example, based on the automatic parking-out mode, the target vehicle is parked out of the parking space 103. After the target vehicle is parked, the target vehicle is at a preset position Loc _1 at a distance of 1 meter from the parking space 103. Next, the target vehicle may be controlled to exit the automatic park-out mode.

In response to the target vehicle exiting the automatic-parking-out mode, operation S6107 may be performed.

In operation S6107, the automatic travel mode is determined as the second target automatic driving mode.

For example, the automatic travel mode may be determined as the second target automatic driving mode from among the automatic driving modes other than the automatic parking mode among the plurality of automatic driving modes described above.

In operation S6108, the control target vehicle is driven to the first position based on the automatic driving mode.

For example, based on the automatic travel mode, the target vehicle is controlled to travel to, for example, the station 104 in fig. 1A according to the first travel route. The starting point of the first travel route may be the preset position Loc _1 described above. The end point of the first travel route may be the station 104.

In operation S6109, the control target vehicle performs a preset task.

For example, the target vehicle may be controlled to travel back and forth between, for example, station 104 and station 105 in fig. 1A to perform a preset task.

Next, after the preset task is completed, for example, the target vehicle may be controlled to perform the corresponding operation according to the plurality of automatic driving modes described above.

For example, in response to the first request, the server 620 may perform operation S6202.

In operation S6202, second target position information is transmitted to the target vehicle.

For example, the second target position information may characterize a parking area. In one example, the parking area may be, for example, parking space 103 in fig. 1A.

In this embodiment, after the server 620 executes the operation S6202, the vehicle end 610 executes the operation S6110.

In operation S6110, second target location information is acquired.

For example, the second target location information transmitted by the server 620 may be acquired.

In operation S6111, it is determined whether the second target position information represents a parking area?

In the disclosed embodiment, in response to determining that the second target position information characterizes a parking area, operation S6112 is performed.

In the disclosed embodiment, in response to determining that the second target location information does not characterize a parking area, operation S6116 as described above is performed.

In operation S6112, the automatic travel mode is determined as the third target automatic driving mode.

For example, from among the plurality of automatic driving modes described above, the automatic travel mode is determined as the third target automatic driving mode.

In operation S6113, the target vehicle is controlled to travel to a preset position based on the automatic travel mode.

For example, based on the automatic travel mode, the target vehicle may be controlled to travel to the preset position Loc _1 described above in accordance with the second travel route so that the target vehicle is parked in the parking space 103. The start point of the second travel route may be any position between the station 104 and the station 105, and the end point of the second travel route may be the preset position Loc _ 1.

Next, in response to determining that the target vehicle travels to the preset position, operation S6114 may be performed.

In operation S6114, the auto-park mode is determined as the fourth target driving mode.

For example, the automatic parking mode is determined as the fourth target automatic driving mode from among the automatic driving modes other than the automatic travel mode among the plurality of automatic driving modes described above.

In operation S6115, the target vehicle is parked in the parking area based on the automatic parking mode.

For example, based on the automatic parking mode, the target vehicle is parked into the parking space 103 from the preset position Loc _ 1.

Next, the target vehicle may be controlled to exit the automatic parking mode.

In response to the target vehicle exiting the automatic parking mode, operation S6116 may be performed, ending the flow.

It should be noted that the first request in the method 600 may be sent by the vehicle end 610, or may be sent by another terminal or server connected to the server 620.

It is noted that the vehicle end 610 of the method 600 may include a touch component and an autopilot component. The touch control assembly comprises a touch control screen. The touch component can be used for acquiring external instructions or manually input instructions.

It should be noted that, after the flow is ended, the target vehicle may be controlled to perform corresponding operations based on various automatic driving modes or manual driving modes, which is not limited by the present disclosure.

Fig. 7 is a block diagram of a vehicle information processing apparatus according to one embodiment of the present disclosure.

As shown in fig. 7, the apparatus 700 may include an acquisition module 710, a first determination module 720, a first control module 730, a second determination module 740, and a second control module 750.

The obtaining module 710 is configured to obtain current location information of the target vehicle.

And the first determining module is used for determining a first target automatic driving mode from a plurality of automatic driving modes according to the target position information and the current position information.

And the first control module is used for controlling the target vehicle to execute corresponding operation based on the first target automatic driving mode.

A second determination module for determining a second target autonomous driving mode from among autonomous driving modes other than the first target autonomous driving mode among the plurality of autonomous driving modes in response to determining that the target vehicle exits the first target autonomous driving mode.

And the second control module is used for controlling the target vehicle to execute corresponding operation based on the second target automatic driving mode.

For example, at least one of the current position information and the target position information represents a parking area.

In some embodiments, the plurality of automatic driving modes include an automatic park-in mode, an automatic park-out mode, and an automatic travel mode.

In some embodiments, the apparatus 700 further comprises: a third determining module, configured to determine a driving route according to the target location information and the current location information, where at least one of a starting point and an ending point of the driving route represents a preset location corresponding to the parking area, and a distance between the preset location and the parking area is smaller than a preset distance threshold.

In some embodiments, the first determining module comprises: a first determination unit for determining the automatic parking mode as a first target automatic driving mode in response to determining that the current location information represents a parking area.

In some embodiments, the first control module comprises: a first control unit for controlling the target vehicle to park out based on an automatic parking out mode; and a second control unit for controlling the target vehicle to exit the automatic parking-out mode; the second determining module includes: and a second determination unit for determining the automatic travel mode as a second target automatic driving mode.

In some embodiments, the first determining module comprises: a third determination unit for determining the automatic travel mode as the first target automatic driving mode in response to determining that the target position information represents a parking area.

In some embodiments, the first control module comprises: a third control unit configured to control the target vehicle to travel along the travel route based on an automatic travel mode; and a fourth control unit for controlling the target vehicle to exit the automatic travel mode in response to determining that the target vehicle travels to the preset position; the second determining module includes: a fourth determination unit for determining the automatic parking mode as the second target automatic driving mode.

In some embodiments, the current location information is obtained based on a high-precision map, and the target location information is obtained based on the high-precision map.

Fig. 8 is a block diagram of a vehicle information processing apparatus according to another embodiment of the present disclosure.

As shown in fig. 8, the apparatus 800 may include a first transmitting module 810 and a second transmitting module 820.

A first sending module 810, configured to send the target location information to the target vehicle if it is determined that the current location information represents a parking area.

And a second sending module 820, configured to, in response to obtaining the first request, send the target location information to the target vehicle when it is determined that the target location information represents the parking area.

In the technical scheme of the disclosure, the collection, storage, use, processing, transmission, provision, disclosure and other processing of the personal information of the related user are all in accordance with the regulations of related laws and regulations and do not violate the good customs of the public order.

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

FIG. 9 illustrates a schematic block diagram of an example electronic device 900 that can be used to implement embodiments 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, mainframes, and other appropriate computers. The electronic device may also represent various forms of mobile devices, such as personal digital processing, cellular phones, smart phones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions, are meant to be examples only, and are not meant to limit implementations of the disclosure described and/or claimed herein.

As shown in fig. 9, the apparatus 900 includes a computing unit 901, which can perform various appropriate actions and processes in accordance with a computer program stored in a Read Only Memory (ROM)902 or a computer program loaded from a storage unit 908 into a Random Access Memory (RAM) 903. In the RAM 903, various programs and data required for the operation of the device 900 can also be stored. The calculation unit 901, ROM 902, and RAM 903 are connected to each other via a bus 904. An input/output (I/O) interface 905 is also connected to bus 904.

A number of components in the device 900 are connected to the I/O interface 905, including: an input unit 906 such as a keyboard, a mouse, and the like; an output unit 907 such as various types of displays, speakers, and the like; a storage unit 908 such as a magnetic disk, optical disk, or the like; and a communication unit 909 such as a network card, a modem, a wireless communication transceiver, and the like. The communication unit 909 allows the device 900 to exchange information/data with other devices through a computer network such as the internet and/or various telecommunication networks.

The computing unit 901 may be a variety of general and/or special purpose processing components having processing and computing capabilities. Some examples of the computing unit 901 include, but are not limited to, a Central Processing Unit (CPU), a Graphics Processing Unit (GPU), various dedicated Artificial Intelligence (AI) computing chips, various computing units running machine learning model algorithms, a Digital Signal Processor (DSP), and any suitable processor, controller, microcontroller, and so forth. The calculation unit 901 executes the respective methods and processes described above, such as the vehicle information processing method. For example, in some embodiments, the vehicle information processing method may be implemented as a computer software program tangibly embodied in a machine-readable medium, such as storage unit 908. In some embodiments, part or all of the computer program may be loaded and/or installed onto device 900 via ROM 902 and/or communications unit 909. When the computer program is loaded into the RAM 903 and executed by the computing unit 901, one or more steps of the vehicle information processing method described above may be performed. Alternatively, in other embodiments, the computing unit 901 may be configured to perform the vehicle information processing method by any other suitable means (e.g., by means of firmware).

Various implementations of the systems and techniques described here above may be implemented in digital electronic circuitry, integrated circuitry, Field Programmable Gate Arrays (FPGAs), Application Specific Integrated Circuits (ASICs), Application Specific Standard Products (ASSPs), system on a chip (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and/or combinations thereof. These various embodiments may include: implemented in one or more computer programs that are executable and/or interpretable on a programmable system including at least one programmable processor, which may be special or general purpose, receiving data and instructions from, and transmitting data and instructions to, a storage system, at least one input device, and at least one output device.

Program code for implementing the methods of the present disclosure may be written in any combination of one or more programming languages. These program codes may be provided to a processor or controller of a general purpose computer, special purpose computer, or other programmable data processing apparatus, such that the program codes, when executed by the processor or controller, cause the functions/operations specified in the flowchart and/or block diagram to be performed. The program code may execute entirely on the machine, partly on the machine, as a stand-alone software package partly on the machine and partly on a remote machine or entirely on the remote machine or server.

In the context of this disclosure, a machine-readable medium may be a tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. The machine-readable medium may be a machine-readable signal medium or a machine-readable storage medium. A machine-readable medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

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

The systems and techniques described here can be implemented in a computing system that includes a back-end component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front-end component (e.g., a user computer having a graphical user interface or a web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such back-end, middleware, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: local Area Networks (LANs), Wide Area Networks (WANs), and the Internet.

The computer system may include clients and servers. A client and server are generally remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other.

It should be understood that various forms of the flows shown above may be used, with steps reordered, added, or deleted. For example, the steps described in the present disclosure may 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, and the present disclosure is not limited herein.

The present disclosure also provides an autonomous vehicle that may include an electronic device such as that shown in fig. 9.

The above detailed description should not be construed as limiting the scope of the disclosure. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions may be made in accordance with design requirements and other factors. Any modification, equivalent replacement, and improvement made within the spirit and principle of the present disclosure should be included in the scope of protection of the present disclosure.

Claims

1. A vehicle information processing method comprising:

acquiring current position information of a target vehicle;

determining a first target autonomous driving mode from a plurality of autonomous driving modes according to target location information and the current location information;

controlling the target vehicle to perform a corresponding operation based on the first target automatic driving mode;

in response to determining that the target vehicle exits the first target autonomous mode, determining a second target autonomous mode from among autonomous modes of the plurality of autonomous modes other than the first target autonomous mode; and

controlling the target vehicle to perform a corresponding operation based on the second target automatic driving mode,

wherein at least one of the current location information and the target location information characterizes a parking area.

2. The method of claim 1, wherein the plurality of autonomous driving modes includes an autonomous park mode, and an autonomous travel mode.

3. The method of claim 2, further comprising:

determining a driving route according to the target position information and the current position information,

at least one of the starting point and the end point of the driving route represents a preset position corresponding to the parking area, and the distance between the preset position and the parking area is smaller than a preset distance threshold value.

4. The method of claim 3, wherein the determining a first target autonomous driving mode from a plurality of autonomous driving modes based on target location information and the current location information comprises:

in response to determining that the current location information characterizes a parking area, determining the auto park mode as a first target auto drive mode.

5. The method of claim 4, wherein the controlling the target vehicle to perform the corresponding operation based on the first target autonomous driving mode comprises:

controlling the target vehicle to park out based on an automatic parking out mode; and

controlling the target vehicle to exit the automatic park-out mode;

the determining a second target autonomous driving mode from among autonomous driving modes other than the first target autonomous driving mode from among the plurality of autonomous driving modes includes:

determining the automatic driving mode as a second target automatic driving mode.

6. The method of claim 3, wherein the determining a first target autonomous driving mode from a plurality of autonomous driving modes based on target location information and the current location information comprises:

determining the automatic driving mode as a first target automatic driving mode in response to determining that the target position information characterizes a parking area.

7. The method of claim 6, wherein the controlling the target vehicle to perform the corresponding operation based on the first target autonomous driving mode comprises:

controlling the target vehicle to travel according to the travel route based on an automatic travel mode; and

controlling the target vehicle to exit the automatic driving mode in response to determining that the target vehicle is driven to the preset position;

determining the auto-park mode as a second target auto-drive mode.

8. The method of any one of claims 1 to 7, wherein the current location information is obtained based on a high-precision map and the target location information is obtained based on the high-precision map.

9. A vehicle information processing method comprising:

under the condition that the current position information represents the parking area, sending target position information to a target vehicle; and

and under the condition that the target position information is determined to represent the parking area, responding to the acquisition of the first request, and sending the target position information to the target vehicle.

10. A vehicle information processing apparatus comprising:

the acquisition module is used for acquiring the current position information of the target vehicle;

a first determination module for determining a first target autopilot mode from a plurality of autopilot modes based on target location information and the current location information;

the first control module is used for controlling the target vehicle to execute corresponding operation based on the first target automatic driving mode;

a second determination module to determine a second target autonomous driving mode from among autonomous driving modes other than the first target autonomous driving mode from among the plurality of autonomous driving modes in response to determining that the target vehicle exits the first target autonomous driving mode; and

a second control module for controlling the target vehicle to perform a corresponding operation based on the second target automatic driving mode,

11. The apparatus of claim 10, wherein the plurality of autonomous driving modes includes an autonomous park mode, and an autonomous travel mode.

12. The apparatus of claim 11, further comprising:

a third determining module for determining a driving route according to the target position information and the current position information,

13. The apparatus of claim 12, wherein the first determining means comprises:

a first determination unit to determine the automatic park out mode as a first target automatic driving mode in response to determining that the current location information characterizes a parking area.

14. The apparatus of claim 13, wherein the first control module comprises:

a first control unit for controlling the target vehicle to park out based on an automatic parking out mode; and

a second control unit for controlling the target vehicle to exit the automatic parking-out mode;

the second determining module includes:

a second determination unit for determining the automatic travel mode as a second target automatic driving mode.

15. The apparatus of claim 12, wherein the first determining means comprises:

a third determination unit to determine the automatic travel mode as the first target automatic driving mode in response to determining that the target position information represents a parking area.

16. The apparatus of claim 15, wherein the first control module comprises:

a third control unit configured to control the target vehicle to travel along the travel route based on an automatic travel mode; and

a fourth control unit for controlling the target vehicle to exit the automatic travel mode in response to determining that the target vehicle travels to the preset position;

the second determining module includes:

a fourth determination unit for determining the automatic parking mode as a second target automatic driving mode.

17. The apparatus according to any one of claims 10 to 16, wherein the current position information is acquired based on a high-precision map, and the target position information is acquired based on the high-precision map.

18. A vehicle information processing apparatus comprising:

the first sending module is used for sending target position information to a target vehicle under the condition that the current position information represents a parking area; and

and the second sending module is used for responding to the first request and sending the target position information to the target vehicle under the condition that the target position information represents the parking area.

19. An electronic device, comprising:

at least one processor; and

a memory communicatively coupled to the at least one processor; wherein the content of the first and second substances,

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 to 9.

20. 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 to 9.

21. A computer program product comprising a computer program which, when executed by a processor, implements the method according to any one of claims 1 to 9.

22. An autonomous vehicle comprising the electronic device of claim 19.