CN113320536A

CN113320536A - Vehicle control method and system

Info

Publication number: CN113320536A
Application number: CN202110805737.0A
Authority: CN
Inventors: 李昌远; 阮春彬; 李晨
Original assignee: Beijing Voyager Technology Co Ltd
Current assignee: Beijing Voyager Technology Co Ltd
Priority date: 2021-07-16
Filing date: 2021-07-16
Publication date: 2021-08-31

Abstract

The embodiment of the specification discloses a vehicle control method and a vehicle control system, wherein the method comprises the following steps: acquiring feedback information of a vehicle driving condition input by a user at a user terminal, wherein the driving condition comprises the following steps: at least one of a driving route, a driving location, a driving section, a driving environment, a driving state, and a driving parameter, the vehicle being a vehicle on which the user is seated; and operating a travel system to adjust at least one of the travel route and the travel parameter in a current trip of the vehicle based on the feedback information.

Description

Vehicle control method and system

Technical Field

The embodiment of the specification relates to the technical field of vehicle control, in particular to a vehicle control method and system.

Background

With the continuous development of computer technology, intelligent travel (e.g., shared travel or automatic driving, etc.) has also been rapidly developed. Taking automated driving as an example, an autonomous vehicle may refer to a vehicle capable of achieving a certain level of driving automation. For example, autonomous vehicles may be controlled by a system (e.g., a back-end remote control) to enable autonomous driving. The automatic driving vehicle can be used as a taxi or a public transport means and the like, and the problem that how to control the automatic driving vehicle when the automatic driving vehicle provides service for human is urgently needed to be solved so as to better meet different requirements of users on the current journey.

Disclosure of Invention

An aspect of an embodiment of the present specification provides a vehicle control method including: acquiring feedback information of a vehicle driving condition input by a user at a user terminal, wherein the driving condition comprises the following steps: at least one of a driving route, a driving location, a driving section, a driving environment, a driving state, and a driving parameter, the vehicle being a vehicle on which the user is seated; and operating a travel system to adjust at least one of the travel route and the travel parameter in a current trip of the vehicle based on the feedback information.

One aspect of the embodiments herein provides a vehicle control system including: the system comprises an acquisition module, a processing module and a display module, wherein the acquisition module is used for acquiring feedback information of a vehicle driving condition input by a user at a user terminal, and the driving condition comprises: at least one of a driving route, a driving location, a driving section, a driving environment, a driving state, and a driving parameter, the vehicle being a vehicle on which the user is seated; and an adjustment module for operating a driving system to adjust at least one of the driving route and the driving parameter in the current trip of the vehicle based on the feedback information.

One of the embodiments herein provides a vehicle control apparatus, the apparatus including at least one processor and at least one memory; the at least one memory is for storing computer instructions; the at least one processor is configured to execute at least some of the computer instructions to implement operations corresponding to the vehicle control method of any of the preceding claims.

One of the embodiments of the present specification provides a computer-readable storage medium storing computer instructions that, when executed by a processor, implement operations corresponding to the vehicle control method according to any one of the preceding claims.

Drawings

The present description will be further described by way of exemplary embodiments, which will be described in detail by way of the accompanying drawings. These embodiments are not intended to be limiting, and in these embodiments like numerals are used to indicate like structures, wherein:

FIG. 1 is a schematic diagram of an application scenario of a vehicle control system according to some embodiments herein;

FIG. 2 is a flow chart of a vehicle control method according to some embodiments herein;

FIG. 3 is a flow chart illustrating operation of a travel system according to some embodiments of the present description;

FIG. 4 is a flow chart illustrating operation of a travel system according to some embodiments of the present description;

FIG. 5 is a schematic illustration of the operation of a travel system according to some embodiments of the present description;

FIG. 6 is a flow diagram illustrating sending alert information according to some embodiments of the present description.

Detailed Description

In order to more clearly illustrate the technical solutions of the embodiments of the present disclosure, the drawings used in the description of the embodiments will be briefly described below. It is obvious that the drawings in the following description are only examples or embodiments of the present description, and that for a person skilled in the art, the present description can also be applied to other similar scenarios on the basis of these drawings without inventive effort. Unless otherwise apparent from the context, or otherwise indicated, like reference numbers in the figures refer to the same structure or operation.

It should be understood that "system", "device", "unit" and/or "module" as used in this specification is a method for distinguishing different components, elements, parts or assemblies at different levels. However, other words may be substituted by other expressions if they accomplish the same purpose.

As used in this specification and the appended claims, the terms "a," "an," "the," and/or "the" are not intended to be inclusive in the singular, but rather are intended to be inclusive in the plural, unless the context clearly dictates otherwise. In general, the terms "comprises" and "comprising" merely indicate that steps and elements are included which are explicitly identified, that the steps and elements do not form an exclusive list, and that a method or apparatus may include other steps or elements.

Flow charts are used in this description to illustrate operations performed by a system according to embodiments of the present description. It should be understood that the preceding or following operations are not necessarily performed in the exact order in which they are performed. Rather, the various steps may be processed in reverse order or simultaneously. Meanwhile, other operations may be added to the processes, or a certain step or several steps of operations may be removed from the processes.

FIG. 1 is a schematic diagram of an application scenario of a vehicle control system according to some embodiments of the present disclosure. The vehicle control system 100 may be applied to a transportation service system, a traffic service system, and the like. In some embodiments, the vehicle control system 100 may be applied to an autonomous vehicle. In some embodiments, the vehicle control system 100 may be applied to a web appointment service, a designated drive service, express delivery, take-away, and the like. In some embodiments, the vehicle control system 100 may include a server 110, a network 120, a user terminal 130, a database 140, and a vehicle 150. The server 110 may include a processing device 112.

In some embodiments, the server 110 may be used to process information and/or data related to vehicle control. The server 110 may be a stand-alone server or a group of servers. The set of servers can be centralized or distributed (e.g., server 110 can be a distributed system). In some embodiments, the server 110 may be regional or remote. For example, server 110 may access information and/or profiles stored in user terminal 130, database 140, vehicle 150, and detection unit 152 via network 120. In some embodiments, the server 110 may be directly connected to the user terminal 130, the database 140, the vehicle 150, and the detection unit 152 to access information and/or material stored therein. In some embodiments, the server 110 may execute on a cloud platform. For example, the cloud platform may include one or any combination of a private cloud, a public cloud, a hybrid cloud, a community cloud, a decentralized cloud, an internal cloud, and the like.

In some embodiments, the server 110 may include a processing device 112. The processing device 112 may process data and/or information related to vehicle control to perform one or more of the functions described in the specification. For example, the processing device 112 may acquire feedback information that the user inputs on the running condition of the vehicle at the user terminal. For another example, the processing device 112 may determine an operation to be performed on the travel system based on the feedback information, where the operation includes, but is not limited to: updating a first navigation route of the vehicle, determining a driving parameter of the vehicle at the target location, and the like. In some embodiments, the processing device may act as a travel system to control the vehicle. For example, the processing device 112 controls the travel of the vehicle based on the updated first navigation route. For another example, the processing device 112 may control the travel of the vehicle at the target location based on the travel parameters of the vehicle at the target location.

In some embodiments, the processing device 112 may include one or more sub-processing devices (e.g., a single core processing device or a multi-core processing device). By way of example only, the processing device 112 may include a Central Processing Unit (CPU), an Application Specific Integrated Circuit (ASIC), an Application Specific Instruction Processor (ASIP), a Graphics Processor (GPU), a Physical Processor (PPU), a Digital Signal Processor (DSP), a Field Programmable Gate Array (FPGA), a programmable logic circuit (PLD), a controller, a micro-controller unit, a Reduced Instruction Set Computer (RISC), a microprocessor, or the like, or any combination thereof. In some embodiments, processing device 122 may be integrated into vehicle 150 and/or user terminal 130.

Network 120 may facilitate the exchange of data and/or information. In some embodiments, one or more components in system 100 (e.g., server 110, user terminal 130, database 140, vehicle 150, detection unit 152) may send data and/or information to other components over network 120. In some embodiments, the network 120 may be any type of wired or wireless network. For example, network 120 may include a cable network, a wired network, a fiber optic network, a telecommunications network, an intranet, the internet, a Local Area Network (LAN), a Wide Area Network (WAN), a Wireless Local Area Network (WLAN), a Metropolitan Area Network (MAN), a Public Switched Telephone Network (PSTN), a bluetooth network, a ZigBee network, a Near Field Communication (NFC) network, the like, or any combination thereof. In some embodiments, network 120 may include one or more network access points. For example, the network 120 may include wired or wireless network access points, such as base stations and/or Internet switching points 120-1, 120-2, …, through which one or more components of the system 100 may connect to the network 120 to exchange data and/or information.

In some embodiments, the user terminal 130 may be a terminal in which a user inputs feedback information on the running condition of the vehicle. In some embodiments, the user may be a service user. For example, the service users may include passengers of a networked car appointment platform, passengers of an autonomous vehicle, navigation service users, and transport service users, among others. In some embodiments, the user terminal 130 may include one or any combination of a mobile device 130-1, a tablet 130-2, a laptop 130-3, an in-vehicle device (not shown), a wearable device (not shown), and the like. In some embodiments, the mobile device 130-1 may include a smart home device, a smart mobile device, a virtual reality device, an augmented reality device, and the like, or any combination thereof. The smart mobile device may include a smartphone, a Personal Digital Assistant (PDA), a gaming device, a navigation device, a point of sale (POS) device, the like, or any combination thereof. The virtual reality device or augmented reality device may include a virtual reality helmet, virtual reality glasses, virtual reality eyeshields, augmented reality helmets, augmented reality glasses, augmented reality eyeshields, and the like, or any combination thereof. In some embodiments, the in-vehicle device may include an in-vehicle computer, an in-vehicle television, or the like. In some embodiments, the wearable device may include a smart bracelet, smart footwear, smart glasses, smart helmet, smart watch, smart garment, smart backpack, smart accessory, or the like, or any combination thereof. In some embodiments, the user terminal 130 may be a device having a positioning technology for locating the position of the user terminal 130.

Database 140 may store data and/or instructions. In some embodiments, database 140 may store data obtained from user terminals 130, vehicle 150 detection unit 152, processing device 112, and the like. In some embodiments, database 140 may store information and/or instructions for server 110 to perform or use to perform the exemplary methods described herein. For example, the database 140 may store current vehicle states (e.g., pitch, speed, acceleration, etc.) collected by the detection unit 152. For another example, the database 140 may store feedback information input by the user at the user terminal 130. In some embodiments, database 140 may include mass storage, removable storage, volatile read-write memory (e.g., random access memory RAM), read-only memory (ROM), the like, or any combination thereof. In some embodiments, database 140 may be implemented on a cloud platform. For example, the cloud platform may include a private cloud, a public cloud, a hybrid cloud, a community cloud, a decentralized cloud, an internal cloud, and the like, or any combination thereof.

In some embodiments, database 140 may be connected to network 120 to communicate with one or more components of system 100 (e.g., server 110, user terminal 130, vehicle 150, detection unit 152, etc.). One or more components of system 100 may access data or instructions stored in database 140 via network 120. For example, the server 110 may obtain the feedback information from the database 140 and perform corresponding processing. In some embodiments, database 140 may be directly connected to or in communication with one or more components in system 100 (e.g., server 110, user terminal 130). In some embodiments, database 140 may be part of server 110. In some embodiments, database 140 may be integrated into vehicle 110.

The vehicle 150 may be any type of driving vehicle, such as an autonomous vehicle, a net reservation driver, etc. In some embodiments, vehicle 150 may be a vehicle in which a user is riding. As used herein, an autonomous vehicle may refer to a vehicle that is capable of achieving a level of driving automation. For example, the level of driving automation may include a first level, i.e., the vehicle is primarily supervised by humans and has a particular autonomous function (e.g., autonomous steering or acceleration), a second level, i.e., the vehicle has one or more advanced driver assistance systems (ADAS, e.g., adaptive cruise control systems, lane keeping systems) that may control braking, steering, and/or accelerating the vehicle, a third level, i.e., the vehicle is capable of being automatically driven when one or more certain conditions are met, a fourth level, i.e., the vehicle may be operated without human input or inattention, but still subject to certain limitations (e.g., limited to a certain area), a fifth level, i.e., the vehicle may be operated autonomously in all circumstances, and the like, or any combination thereof.

In some embodiments, vehicle 150 may have an equivalent structure that enables vehicle 150 to move or fly. For example, the vehicle 150 may include the structure of a conventional vehicle, such as a chassis, a suspension, a steering device (e.g., a steering wheel), a braking device (e.g., a brake pedal), an accelerator, and so forth. As another example, the vehicle 150 may have a body and at least one wheel. The body may be any type of body, such as a sports vehicle, a coupe, a sedan, a light truck, a station wagon, a Sport Utility Vehicle (SUV), a minivan, or a switch car. At least one wheel may be configured as all-wheel drive (AWD), front-wheel drive (FWR), rear-wheel drive (RWD), or the like. In some embodiments, it is contemplated that the vehicle 150 may be an electric vehicle, a fuel cell vehicle, a hybrid vehicle, a conventional internal combustion engine vehicle, or the like.

In some embodiments, the vehicle 150 is able to sense its environment and travel using one or more detection units 152. The at least two detection units 152 may include sensor devices (e.g., radars (e.g., lidar devices)), Global Positioning System (GPS) modules, Inertial Measurement Units (IMUs), cameras, and the like, or any combination thereof. A radar (e.g., a lidar device) may be configured to scan the surroundings of vehicle 150 and generate corresponding data. A GPS module may refer to a device capable of receiving geolocation and time information from GPS satellites and determining the geographic location of the device. An IMU may refer to an electronic device that uses various inertial sensors to measure and provide specific forces, angular rates of a vehicle, and sometimes magnetic fields around the vehicle. In some embodiments, the various inertial sensors may include acceleration sensors (e.g., piezoelectric sensors), velocity sensors (e.g., hall sensors), distance sensors (e.g., radar, infrared sensors), steering angle sensors (e.g., tilt sensors), traction-related sensors (e.g., force sensors), and the like. The camera may be configured to acquire one or more images related to a target (e.g., a person, animal, tree, barricade, building, or vehicle) within range of the camera.

It will be understood by those of ordinary skill in the art that when an element (or component) of the vehicle control system 100 executes, the element may execute via electrical and/or electromagnetic signals. For example, when user terminal 130 sends feedback information to server 110, a processor of user terminal 130 may generate an electrical signal encoding the feedback information. The processor of the user terminal 130 may then send the electrical signal to the output port. If user terminal 130 communicates with server 110 via a wired network, the output port may be physically connected to a cable, which may also send electrical signals to the input port of server 110. If user terminal 130 communicates with server 110 via a wireless network, the output port of user terminal 130 may be one or more antennas that convert electrical signals to electromagnetic signals. Within an electronic device, such as user terminal 130 and/or server 110, when its processor processes instructions, issues instructions, and/or performs actions, the instructions and/or actions are performed by electrical signals. For example, when the processor retrieves or saves data from a storage medium (e.g., database 140), it may send electrical signals to the storage medium's read/write device, which may read or write structured data in the storage medium. The configuration data may be transmitted to the processor in the form of electrical signals via a bus of the electronic device. Herein, an electrical signal may refer to one electrical signal, a series of electrical signals, and/or at least two discrete electrical signals.

In some embodiments, a processing device (e.g., processing device 112) may include an acquisition module and an operation module.

The obtaining module may be configured to obtain feedback information of a driving condition of the vehicle, which is input by a user at the user terminal, where the driving condition includes: at least one of a driving route, a driving location, a driving section, a driving environment, a driving state, and a driving parameter, the vehicle being a vehicle on which the user is seated. In some embodiments, the vehicle is an autonomous vehicle.

The operation module may be configured to operate a driving system to adjust at least one of the driving route and the driving parameter in a current trip of the vehicle based on the feedback information.

In some embodiments, the operation module may be configured to determine a target navigation route from a plurality of second navigation routes based on the feedback information and a driving condition corresponding to the feedback information, and update the first navigation route based on the target navigation route; wherein the first navigation route is a navigation route being used by the vehicle.

In some embodiments, the operation module may be configured to determine a target location from a first navigation route based on the feedback information and the driving condition corresponding to the feedback information; and adjusting the driving parameters of the vehicle at the target position; wherein the first navigation route is a navigation route being used by the vehicle.

In some embodiments, the operation module may be configured to obtain historical feedback information related to at least one of the target location and the user, and historical driving conditions corresponding to the historical feedback information; and adjusting the driving parameters of the vehicle at the target position based on the historical feedback information and the historical driving condition.

In some embodiments, the operation module may be configured to send, based on the feedback information, a warning message to the driving system, where the warning message is used to warn a driving terminal to adjust driving of the vehicle.

In some embodiments, the operation module may be configured to determine a target location from a first navigation route based on the feedback information and the driving condition corresponding to the feedback information; sending the reminding information to the driving system based on the relation between the current position of the vehicle and a target position, wherein the target position is derived from track points in a first navigation route; wherein the first navigation route is a navigation route being used by the vehicle.

It should be noted that the above description of the vehicle control system and its modules is merely for convenience of description and should not limit the present disclosure to the illustrated embodiments. It will be appreciated by those skilled in the art that, given the teachings of the present system, any combination of modules or sub-system configurations may be used to connect to other modules without departing from such teachings. In some embodiments, the disclosed acquisition module and operation module may be different modules in a system, or may be a module that implements the functions of two or more modules described above. For example, each module may share one memory module, and each module may have its own memory module. Such variations are within the scope of the present disclosure.

FIG. 2 is a flow chart of a vehicle control method according to some embodiments described herein. As shown in fig. 2, the process 200 may include the following

steps

210 and 220. In some embodiments, flow 200 may be performed by a processing device (e.g., processing device 112).

Step 210, obtaining feedback information of the running condition of the vehicle, which is input by the user at the user terminal. In some embodiments, step 210 may be performed by an acquisition module.

The user refers to a passenger riding in the vehicle. The vehicle may be a vehicle used in an intelligent trip, i.e. a vehicle on which a user rides. For example, the vehicle may be a shared vehicle in a networked appointment. Also for example, the vehicle may be an autonomous vehicle or the like. Preferably, the vehicle is an autonomous vehicle, and specific details regarding the autonomous vehicle may be referred to above and will not be described herein.

The user terminal is a terminal that a user performs an operation or receives information. In some embodiments, the user terminal may be a terminal that provides an online service for the user. For example, the user terminal may be a terminal that provides a network car-booking service for the user. For another example, the user terminal may be a terminal that provides an automatic driving service to the user. The user terminal may include, but is not limited to, one or more combinations of a notebook, a tablet, a cell phone, a Personal Digital Assistant (PDA), an in-car camera, a dedicated touch device, and a wearable device, among others. In some embodiments, the user terminal may also be a device terminal inside the vehicle for collecting information or providing information, such as a vehicle-mounted terminal, an electronic device, or a remote control device.

The running condition of the vehicle may include information related to running of the vehicle. The running condition may include: one or more combinations of a travel route, a travel position, a travel section, a travel environment, a travel state, a travel parameter, and the like.

The travel route may be a route on which the vehicle travels from a departure point to a destination. In some embodiments, the travel route may be at least one navigation route automatically generated by the processing device based on the origin and destination. The origin and destination may be obtained in a variety of ways. For example, by a user entering the acquisition at a user terminal.

The travel position may be a position through which the vehicle travels. The location may include a point, area, or segment. In some embodiments, the travel location may be a location that the vehicle has passed, a current location, or an upcoming location. The driving location may be a track point in the driving route. For example, the driving location may include a departure place, a destination, a current location, and the like.

The road segment may be a route formed by at least two position points on a road network. The at least two location points may be adjacent or non-adjacent. For example, a road segment may be a section or the entirety of a road.

In some embodiments, the travel segment may be a segment over which the vehicle travels. In some embodiments, the travel segment may be a segment that the vehicle has traveled, a segment that the current location is on, or a segment that is about to travel. In some embodiments, the travel segment may also be a preset segment included in the travel route. The preset section may be specifically set according to an actual demand, and for example, the preset section may include at least one of a turning section, a roundabout section, a no-parking section, a one-way driving section, and an accident-prone section.

The running environment may be environmental information related to the vehicle or the running of the vehicle. The running environment may include an environment inside the vehicle when the vehicle runs and an environment outside the vehicle when the vehicle runs. In some embodiments, the driving environment may include air quality inside the vehicle, humidity inside the vehicle, temperature inside the vehicle, number of occupants inside the vehicle, tidiness inside the vehicle, light inside the vehicle, appearance of occupants inside the vehicle, and the like. In some embodiments, the driving environment may include at least one of a weather environment, a road condition environment, and a time environment.

In some embodiments, the weather environment may reflect air temperature, air pressure, humidity, visibility, and the like. For example, the weather environment may include rain, snow, sunny, and the like.

In some embodiments, the road condition environment may reflect a smooth driving condition of the vehicle. For example, the road condition environment may reflect road severity, number of lanes, road congestion, road closure, road construction, traffic control, and the like. For example, the road conditions may include traffic flow, number of traffic lights, construction ahead, etc.

In some embodiments, the time environment may reflect time information of vehicle travel. For example, the time context may include whether it is a holiday, whether it is a workday, whether it is a commute peak, and so forth.

The running state may be state information of the vehicle during running of the vehicle. In some embodiments, the driving conditions may include: a normal running state, an abnormal running state, and the like. The abnormal driving state may be driving in which a driving event occurs, and the normal driving state may be driving in which no driving event occurs. The driving event can be events related to vehicle operation and events affecting the ride experience of the user, which occur during the driving process of the vehicle. In some embodiments, the driving event may include a start, stop, acceleration, deceleration, jerk, overspeed, jerk, turn, and bump event of the vehicle.

The running parameter refers to a parameter reflecting a running condition of the vehicle. In some embodiments, the driving parameters include, but are not limited to: velocity parameters and acceleration parameters, etc.

The feedback information may reflect the attitude of the user to the driving condition of the vehicle. In some embodiments, the feedback information may include whether the driving condition of the vehicle is satisfactory and/or satisfactory (e.g., highly satisfactory, generally satisfactory and unsatisfactory, etc.), and/or the like. In some embodiments, the feedback information may also reflect other information. For example, a cause of satisfaction or dissatisfaction, a recommendation of a running condition of the vehicle, and the like.

In some embodiments, the user may enter the feedback information in a variety of ways. For example, the user may send feedback information by clicking an icon or text button, sending text or voice, or making a gesture action or a facial action, etc. For example, the user sends feedback information representing dissatisfaction by clicking the 'click-on' icon. And the user makes a preset gesture corresponding to 'satisfaction' as the sent feedback information facing the camera of the terminal.

The ways of the different embodiments can be combined. For example, in some embodiments, the user may enter feedback information on the driving parameters of the vehicle in the mobile terminal. For example, in some embodiments, the user may click on an icon at a cell phone interface to enter feedback information for the travel event.

After the user inputs the feedback information, the feedback information may be stored in a storage device or directly transmitted to a processing device. The processing device (e.g., the obtaining module) may obtain the feedback information directly from the user terminal, or may read the feedback information from the storage device.

In some embodiments, after the processing device obtains the feedback information, the processing device may process the feedback information to determine an attitude reflected by the feedback information. For example, the processing device may determine the attitude represented by the icon clicked on the user terminal by the user through a preset relationship between the icon and the attitude. For another example, the processing device may identify (e.g., via a model or algorithm, etc.) text, pictures, video, or speech sent by the user terminal to determine the reflected attitude.

In some embodiments, the user may input the feedback information at the user terminal according to his or her will or needs. For example, the user inputs feedback information at the user terminal according to a vehicle running condition (e.g., the vehicle is running too fast or the vehicle is suddenly braked). For another example, the user inputs feedback information at the user terminal at any time.

In some embodiments, the user may input the feedback information based on the first reminder information sent by the processing device. The first reminding information is information for reminding a user to feed back.

Based on the feedback information, the driving system is operated to adjust at least one of a driving route and a driving parameter of the current trip of the vehicle, step 220.

In some embodiments, the travel system may include a system that directly changes the travel of the vehicle. For example, the travel system may include an autonomous vehicle control platform. The autonomous vehicle control platform may send the adjusted driving parameters to the autonomous vehicle to directly change the driving of the autonomous vehicle.

In some embodiments, the travel system may include a system that indirectly alters travel of the vehicle. For example, the driving system may include a driving terminal (e.g., a driver terminal, a vehicle terminal), a network appointment control platform, and the like. The driver may receive the adjusted driving parameter from the driving terminal and drive the vehicle according to the adjusted driving parameter to indirectly change the driving of the vehicle. The network appointment control platform can send an instruction to the driving terminal, and the instruction can comprise adjustment information of the driving parameters of the vehicle. For another example, the driving terminal may determine the adjusted driving parameters directly according to the feedback information of the user.

In some embodiments, the current trip of the vehicle may be a trip in which the vehicle is being used, which may be related to the first navigation route. For specific details of the first navigation route, reference may be made to step 320 and the related description thereof, which are not described herein again. In some embodiments, the operation of the travel system may be an operation related to adjusting at least one of a travel route and a travel parameter in a current trip of the vehicle. For example, updating a navigation route that the vehicle is using, adjusting a driving parameter of the vehicle at a target location, sending a reminder to the driving terminal, and the like.

In some embodiments, different feedback information may correspond to different operations. For example, if the feedback information reflects that the user is dissatisfied with the vehicle speed, the driving parameters of the vehicle may be adjusted. For another example, if the feedback information reflects that the user is dissatisfied with the navigation route, the navigation route may be updated. For specific details regarding operation of the travel system of the vehicle based on the feedback information, reference may be made to fig. 3-6 and their associated description, which are not repeated herein.

Some embodiments of the present description may operate a driving system based on feedback information of a user, adjust at least one of a driving route and a driving parameter in a current trip of a vehicle, improve a driving condition corresponding to feedback dissatisfaction of the user on the current trip, and improve a riding experience of the user; meanwhile, the user can timely feed back the travel process, the situation that the actual requirements of the user cannot be met by the current travel control automatically set by the automatic driving vehicle can be avoided, and the riding experience of the user is further improved.

In some embodiments, the processing device may send a feedback reward to the user terminal based on the feedback information. The feedback reward may be in a variety of forms. For example, the feedback reward may be a coupon or the like. The feedback rewards may be preset according to requirements. In some embodiments, the processing device may determine whether to feedback a reward to the user or determine a reward degree for feeding back the reward based on the receptivity of the feedback information. The processing device may calculate the reward degree based on a plurality of negative feedback information of the driving condition and corresponding preset weights thereof. By giving feedback rewards to the users, the users can actively feed back the feedback information, and the information collection integrity is improved.

FIG. 3 is a flow chart illustrating operation of a travel system according to some embodiments of the present description. As shown in fig. 3, the process 300 may include the following

steps

310 and 320. In some embodiments, flow 300 may be performed by a processing device (e.g., processing device 112).

A plurality of second navigation routes are generated based on the current location and destination of the vehicle, step 310. In some embodiments, step 310 may be performed by an operations module.

In some embodiments, the current position of the vehicle may be obtained through a positioning technique. Such as a positioning system like GPS or GNSS. In some embodiments, the processing device may automatically generate a plurality of second navigation routes based on the current location and destination of the vehicle.

And 320, determining a target navigation route from the plurality of second navigation routes based on the feedback information and the driving condition corresponding to the feedback information, and updating the first navigation route based on the target navigation route. In some embodiments, step 320 may be performed by an operations module.

The different embodiments may be combined. For example, in some embodiments, the feedback information reflects that the user has fed back that the vehicle at a plurality of turns included in the driving condition is not stationary, the processing device may determine a route with fewer turns from the second navigation route as the target navigation route; in some embodiments, the feedback information reflects that the user has fed back that the driving condition for a plurality of road jams included in the driving condition is not satisfied, and the processing device may determine a route with clear roads as the target navigation route from the second navigation route.

As previously mentioned, the first navigation route is the navigation route being used by the vehicle. In some embodiments, the processing device may replace the route from the current location to the destination in the first navigation route with the target navigation route, resulting in an updated first navigation route.

In some embodiments, the processing device may display the updated navigation route to the user to enable the user to confirm whether to update or adjust. Wherein the content of the target navigation route may be highlighted. Such as color highlighting, course bolding highlighting, etc.

In some embodiments, the processing device may further compare and display the updated first navigation route and the first navigation route information before updating. The content displayed by contrast may include, but is not limited to: time consumption comparison, road condition comparison and driving event comparison. For example, comparison of the number of turning roads and the number thereof, comparison of the number of maintenance roads and the number thereof, and comparison of the degree of road congestion.

Some embodiments of the present description update the first navigation route by feeding back information, so that the user can be prevented from repeatedly passing through the same or similar position where the user has fed back unsatisfied, and the riding experience of the user is improved.

FIG. 4 is a flow chart illustrating operation of a travel system according to some embodiments of the present description. As shown in fig. 4, the process 400 may include the following steps 410 and 420. In some embodiments, flow 400 may be performed by a processing device (e.g., processing device 112).

And step 410, determining a target position from the first navigation route based on the feedback information and the driving condition corresponding to the feedback information. In some embodiments, step 410 may be performed by an operations module.

As previously mentioned, the first navigation route is the navigation route being used. In some embodiments, the processing device may determine whether to use the travel section or the travel position corresponding to the feedback information as the reference position based on the attitude of the user reflected by the feedback information, for example, if the feedback information is negative feedback, then use the travel section or the travel position corresponding to the feedback information as the reference position. Further, the processing device determines a target location associated with the reference location from the first navigation route. The target position related to the reference position may be a position similar to the driving condition of the reference position, for example, the reference position is a turning curve, and the target position is also a turning curve.

And step 420, adjusting the running parameters of the vehicle at the target position. In some embodiments, step 420 may be performed by an operational module.

For specific details of the driving parameters, reference may be made to step 210 and the related description thereof, which are not described herein again. In some embodiments, the processing device may dynamically adjust the driving parameters based on the actual conditions.

In some embodiments, the adjustment mode of the driving parameter may be determined according to the feedback information. For example, if the user feeds back that the vehicle speed is too fast, the vehicle speed is reduced. As another example, the user may feedback that the bump is severe, slowing down and/or bypassing bumps in the road segment.

In some embodiments, the processing device may further acquire historical feedback information (may be simply referred to as "first historical feedback information") relating to at least one of the target location or the user and a historical travel condition corresponding thereto (may be simply referred to as "first historical travel condition"), and adjust the travel parameters of the vehicle at the target location based on the first historical feedback information and the first historical travel condition corresponding thereto.

The historical feedback information associated with the target location may include all historical user past feedback information for the target location. The historical feedback information relating to the user and the target location may include past feedback information of the user to the target location.

In some embodiments, the processing device may determine the adjusted travel parameter at the target location based on the first historical feedback information and its corresponding first historical travel condition. For example, the history travel parameters corresponding to the positive feedback in the first history feedback information are processed (for example, weighted average), and the processed parameters are used as the travel parameters adjusted at the target position. For another example, the first history traveling condition positively fed back in the first history feedback information is matched with the traveling condition at the target position, including traveling environment matching, traveling position matching, and the like, and the target position adjusted traveling parameter is determined based on the traveling parameter in the first history traveling condition whose matching degree satisfies the requirement.

Some embodiments of the present description are advantageous to reduce the negative feedback of the user to the same type of position again by determining the target position and adjusting the driving parameters of the target position in advance, and are advantageous to improve the experience of the user in riding the vehicle.

FIG. 5 is a schematic illustration of operation of a travel system according to some embodiments of the present description. As illustrated by the diagram 500, a processing device (e.g., the processing device 112) may send a reminder to the travel system based on the feedback information.

The driving terminal may be a terminal at which the driver inputs and/or receives information. For example, for the field of online booking, the driving terminal may be a driver terminal or a vehicle-mounted terminal. After the driver receives the reminding information through the driving terminal, the driving of the vehicle can be adjusted. For example, when the driver again travels to the position corresponding to the feedback information, the travel is adjusted. For another example, when the traveling is in another traveling condition similar to the traveling condition corresponding to the feedback information, the traveling is adjusted. For example, when the driving condition is a turn, the driver may adjust the driving condition based on the feedback information when the driver turns the turn later.

In some embodiments, the processing device may determine whether to send the reminder information to the travel system based on the feedback information. For example, if the feedback information is negative feedback, the feedback information is sent, otherwise, the feedback information is not sent. The reminding information can be used for reminding the driving terminal to adjust the driving of the vehicle.

In some embodiments, the content of the reminder information may include feedback information of the user. Illustratively, "sudden braking occurs at the user feedback position a, please note driving". The driver is further reminded whether the driver needs to adjust the subsequent running or not by informing the driver whether the user is satisfied with the running condition or not, or whether the driving parameters such as speed need to be adjusted or not is determined when the driver encounters other running conditions similar to the fed-back running condition.

In some embodiments, the content of the reminder information may include adjustment suggestions for subsequent driving, and the like. After the driver receives the reminding information, the driver can adjust according to the adjustment suggestions in the reminding information. The adjustment advice for the subsequent travel may be a travel parameter at the target position or the like. Reference may be made to fig. 4 and its associated description for determining the driving parameters at the target position. For example, the user may feed back that sudden braking occurs at a position a, where the position a is a traffic light, and the processing device may generate a reminding message "please start to decelerate at 200 meters of the traffic light to avoid sudden braking", and so on.

In some embodiments, the processing device may determine whether to send the reminder information to the travel system based on the feedback information and its corresponding travel condition. For example, if the feedback information is negative and the driving condition is a preset driving condition, the warning information is sent. The preset driving condition may be a driving event caused by driving of a driver, such as sudden braking, excessive speed of the vehicle, etc.

In some embodiments, the feedback information and/or the driving conditions may also determine the manner of the reminder information. The manner of the reminder information may be used to determine the manner of presentation of the reminder information. Such as voice, text, images, video, vibrations, etc. In some embodiments, the type of feedback information is different, and the manner of the reminder information may be different. For example, if the feedback information is positive feedback, the manner of the reminder information may be a manner in which images or voices and the like can be added with encouragement, and if the feedback information is negative feedback, the manner of the reminder information may be a manner in which characters, icons and the like are added. In some embodiments, the driving conditions are different, and the manner of the reminding information can be different. For example, if the driving condition is sudden braking, the mode may be voice, and if the driving condition is too fast, the mode may be vibration.

In some embodiments, the reminding mode of the reminding information can be determined based on the state of the driving terminal. The driving terminal state can reflect the terminal electric quantity, the terminal standby time, the terminal use time and whether the terminal is used, the current use mode of the terminal (navigation, music playing and the like), and the like. In some embodiments, when the driving terminal state reflects that the driver is talking on a loudspeaker or playing music, etc., the feedback reminding mode can be image display or text; in some embodiments, when the driving terminal state reflects that the driving terminal is in a low battery or standby state, the feedback reminding mode may be performed through the vehicle-mounted device or the wearable device, for example, through a voice display, an image display, a text display, or the like of the vehicle-mounted device or the smart watch.

The ways of the different embodiments can be combined. For example, in some embodiments, the manner of the reminding information may be determined based on the driving terminal state and the driving condition, for example, if the driving terminal state is playing navigation, and the driving condition is sudden braking, the manner of the reminding information is characters or images; in some embodiments, the manner of the reminding information may be determined based on the state of the driving terminal, the feedback information and the driving condition, for example, if the driving terminal is playing navigation, the feedback information is negative feedback, and the driving condition is severe overspeed, the reminding manner may be voice plus image.

FIG. 6 is a flow diagram illustrating sending alert information according to some embodiments of the present description. As shown in fig. 6, the process 600 may include steps 610 and 620. In some embodiments, flow 600 may be performed by a processing device (e.g., processing device 112).

And step 610, determining a target position from the first navigation route based on the feedback information and the driving condition corresponding to the feedback information. In some embodiments, step 610 may be performed by an operational module.

In some embodiments, the target location is derived from a track point in the first navigation route. For specific details of step 610, refer to step 410 and its related description, which are not repeated herein.

And step 620, sending reminding information to the driving system based on the relation between the current position and the target position of the vehicle. In some embodiments, step 620 may be performed by an operational module.

In some embodiments, the current location to target location relationship may include a distance between the current location and the target location, a time taken for the current location to travel to the target location, and/or the like. The time spent by the current position to travel to the target position is related to the current driving environment and can be acquired through a navigation system.

In some embodiments, the processing device may determine whether to send the reminder information to the driving system based on whether a relationship between a current position of the vehicle and the target position satisfies a preset condition. And if the condition is met, sending the reminding information, and if the condition is not met, not sending the reminding information. The preset condition may be a condition related to time or distance, for example, the preset condition may be that the distance is less than a threshold distance, the time is shorter than a threshold distance, or the like.

Some embodiments of the present description may send a warning message to the driving system in advance through a relationship between a current position and a target position of the vehicle, so that the driving terminal knows how to operate the driving system in advance.

In some embodiments, the processing device may also adjust the environment inside the vehicle in real-time based on the feedback information and the mood of the user. For example, if the feedback information of the user is negative feedback (e.g., dissatisfaction) and the emotion of the user is also negative emotion (e.g., restlessness, difficulty or depression), the processing device may adjust the internal environment of the vehicle (e.g., increase air humidity, adjust the temperature in the vehicle, play music, etc.) to relieve the negative emotion of the user and improve the riding experience of the user.

In some embodiments, the processing device may determine whether the vehicle has a safety issue, and if not, the processing device may send a notification message to the user to notify the user that the vehicle has no safety issue.

Embodiments of the present specification also provide a vehicle control apparatus, which includes at least one processor and at least one memory; the at least one memory is for storing computer instructions; the at least one processor is configured to execute at least a portion of the computer instructions to implement operations corresponding to the vehicle control method of any one of the preceding claims.

The embodiment of the specification also provides a computer readable storage medium. The storage medium stores computer instructions that, when executed by a processor, implement operations corresponding to the vehicle control method of any one of the preceding claims.

Having thus described the basic concept, it will be apparent to those skilled in the art that the foregoing detailed disclosure is to be regarded as illustrative only and not as limiting the present specification. Various modifications, improvements and adaptations to the present description may occur to those skilled in the art, although not explicitly described herein. Such modifications, improvements and adaptations are proposed in the present specification and thus fall within the spirit and scope of the exemplary embodiments of the present specification.

Also, the description uses specific words to describe embodiments of the description. Reference throughout this specification to "one embodiment," "an embodiment," and/or "some embodiments" means that a particular feature, structure, or characteristic described in connection with at least one embodiment of the specification is included. Therefore, it is emphasized and should be appreciated that two or more references to "an embodiment" or "one embodiment" or "an alternative embodiment" in various places throughout this specification are not necessarily all referring to the same embodiment. Furthermore, some features, structures, or characteristics of one or more embodiments of the specification may be combined as appropriate.

Moreover, those skilled in the art will appreciate that aspects of the present description may be illustrated and described in terms of several patentable species or situations, including any new and useful combination of processes, machines, manufacture, or materials, or any new and useful improvement thereof. Accordingly, aspects of this description may be performed entirely by hardware, entirely by software (including firmware, resident software, micro-code, etc.), or by a combination of hardware and software. The above hardware or software may be referred to as "data block," module, "" engine, "" unit, "" component, "or" system. Furthermore, aspects of the present description may be represented as a computer product, including computer readable program code, embodied in one or more computer readable media.

The computer storage medium may comprise a propagated data signal with the computer program code embodied therewith, for example, on baseband or as part of a carrier wave. The propagated signal may take any of a variety of forms, including electromagnetic, optical, etc., or any suitable combination. A computer storage medium may be any computer-readable medium that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code located on a computer storage medium may be propagated over any suitable medium, including radio, cable, fiber optic cable, RF, or the like, or any combination of the preceding.

Computer program code required for the operation of various portions of this specification may be written in any one or more programming languages, including an object oriented programming language such as Java, Scala, Smalltalk, Eiffel, JADE, Emerald, C + +, C #, VB.NET, Python, and the like, a conventional programming language such as C, Visual Basic, Fortran2003, Perl, COBOL2002, PHP, ABAP, a dynamic programming language such as Python, Ruby, and Groovy, or other programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or processing device. In the latter scenario, the remote computer may be connected to the user's computer through any network format, such as a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet), or in a cloud computing environment, or as a service, such as a software as a service (SaaS).

Additionally, the order in which the elements and sequences of the process are recited in the specification, the use of alphanumeric characters, or other designations, is not intended to limit the order in which the processes and methods of the specification occur, unless otherwise specified in the claims. While various presently contemplated embodiments of the invention have been discussed in the foregoing disclosure by way of example, it is to be understood that such detail is solely for that purpose and that the appended claims are not limited to the disclosed embodiments, but, on the contrary, are intended to cover all modifications and equivalent arrangements that are within the spirit and scope of the embodiments herein. For example, although the system components described above may be implemented by hardware devices, they may also be implemented by software-only solutions, such as installing the described system on an existing processing device or mobile device.

Similarly, it should be noted that in the preceding description of embodiments of the present specification, various features are sometimes grouped together in a single embodiment, figure, or description thereof for the purpose of streamlining the disclosure aiding in the understanding of one or more of the embodiments. This method of disclosure, however, is not intended to imply that more features than are expressly recited in a claim. Indeed, the embodiments may be characterized as having less than all of the features of a single embodiment disclosed above.

Numerals describing the number of components, attributes, etc. are used in some embodiments, it being understood that such numerals used in the description of the embodiments are modified in some instances by the use of the modifier "about", "approximately" or "substantially". Unless otherwise indicated, "about", "approximately" or "substantially" indicates that the number allows a variation of ± 20%. Accordingly, in some embodiments, the numerical parameters used in the specification and claims are approximations that may vary depending upon the desired properties of the individual embodiments. In some embodiments, the numerical parameter should take into account the specified significant digits and employ a general digit preserving approach. Notwithstanding that the numerical ranges and parameters setting forth the broad scope of the range are approximations, in the specific examples, such numerical values are set forth as precisely as possible within the scope of the application.

For each patent, patent application publication, and other material, such as articles, books, specifications, publications, documents, etc., cited in this specification, the entire contents of each are hereby incorporated by reference into this specification. Except where the application history document does not conform to or conflict with the contents of the present specification, it is to be understood that the application history document, as used herein in the present specification or appended claims, is intended to define the broadest scope of the present specification (whether presently or later in the specification) rather than the broadest scope of the present specification. It is to be understood that the descriptions, definitions and/or uses of terms in the accompanying materials of this specification shall control if they are inconsistent or contrary to the descriptions and/or uses of terms in this specification.

Finally, it should be understood that the embodiments described herein are merely illustrative of the principles of the embodiments of the present disclosure. Other variations are also possible within the scope of the present description. Thus, by way of example, and not limitation, alternative configurations of the embodiments of the specification can be considered consistent with the teachings of the specification. Accordingly, the embodiments of the present description are not limited to only those embodiments explicitly described and depicted herein.

Claims

1. A vehicle control method comprising:

acquiring feedback information of a vehicle driving condition input by a user at a user terminal, wherein the driving condition comprises the following steps: at least one of a driving route, a driving location, a driving section, a driving environment, a driving state, and a driving parameter, the vehicle being a vehicle on which the user is seated; and

based on the feedback information, operating a travel system to adjust at least one of the travel route and the travel parameter in a current trip of the vehicle.

2. The method of claim 1, further comprising:

generating a plurality of second navigation routes based on the current location and destination of the vehicle; wherein the operating the travel system based on the feedback information comprises:

determining a target navigation route from the plurality of second navigation routes based on the feedback information and the driving condition corresponding to the feedback information, and updating a first navigation route based on the target navigation route; wherein the content of the first and second substances,

the first navigation route is a navigation route being used by the vehicle.

3. The method of claim 1, the operating the travel system based on the feedback information, comprising:

determining a target position from a first navigation route based on the feedback information and the driving condition corresponding to the feedback information; and

adjusting the driving parameters of the vehicle at the target position; wherein the content of the first and second substances,

the first navigation route is a navigation route being used by the vehicle.

4. The method of claim 3, the adjusting the driving parameters of the vehicle at the target location comprising:

acquiring historical feedback information related to at least one of the target position and the user and historical driving conditions corresponding to the historical feedback information; and

adjusting the driving parameters of the vehicle at the target position based on the historical feedback information and the historical driving conditions.

5. The method of claim 1, the operating the travel system based on the feedback information, comprising:

and sending reminding information to the driving system based on the feedback information, wherein the reminding information is used for reminding a driving terminal to adjust the driving of the vehicle.

6. The method of claim 5, wherein sending a reminder to the travel system based on the feedback information comprises:

sending the reminding information to the driving system based on the relation between the current position of the vehicle and a target position, wherein the target position is derived from track points in a first navigation route; wherein the content of the first and second substances,

the first navigation route is a navigation route being used by the vehicle.

7. The method of claim 1, the vehicle being an autonomous vehicle.

8. A vehicle control system comprising:

the system comprises an acquisition module, a processing module and a display module, wherein the acquisition module is used for acquiring feedback information of a vehicle driving condition input by a user at a user terminal, and the driving condition comprises: at least one of a driving route, a driving location, a driving section, a driving environment, a driving state, and a driving parameter, the vehicle being a vehicle on which the user is seated; and

and the operation module is used for operating a running system based on the feedback information so as to adjust at least one of the running route and the running parameter in the current journey of the vehicle.

9. A vehicle control apparatus, the apparatus comprising at least one processor and at least one memory;

the at least one memory is for storing computer instructions;

the at least one processor is configured to execute at least some of the computer instructions to implement the method of any of claims 1 to 7.

10. A computer readable storage medium storing computer instructions which, when executed by a processor, implement the method of any one of claims 1 to 7.