CN112339622B - Seat adjusting method and device and vehicle-mounted system - Google Patents

Seat adjusting method and device and vehicle-mounted system Download PDF

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Publication number
CN112339622B
CN112339622B CN202011247344.4A CN202011247344A CN112339622B CN 112339622 B CN112339622 B CN 112339622B CN 202011247344 A CN202011247344 A CN 202011247344A CN 112339622 B CN112339622 B CN 112339622B
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real
road
seat
preset
determining
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CN112339622A (en
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袁玉莲
颜卿
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Ningbo Joynext Technology Corp
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Ningbo Joynext Technology Corp
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    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60N—SEATS SPECIALLY ADAPTED FOR VEHICLES; VEHICLE PASSENGER ACCOMMODATION NOT OTHERWISE PROVIDED FOR
    • B60N2/00—Seats specially adapted for vehicles; Arrangement or mounting of seats in vehicles
    • B60N2/02—Seats specially adapted for vehicles; Arrangement or mounting of seats in vehicles the seat or part thereof being movable, e.g. adjustable
    • B60N2/0224—Non-manual adjustments, e.g. with electrical operation
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60N—SEATS SPECIALLY ADAPTED FOR VEHICLES; VEHICLE PASSENGER ACCOMMODATION NOT OTHERWISE PROVIDED FOR
    • B60N2/00—Seats specially adapted for vehicles; Arrangement or mounting of seats in vehicles
    • B60N2/02—Seats specially adapted for vehicles; Arrangement or mounting of seats in vehicles the seat or part thereof being movable, e.g. adjustable
    • B60N2/0224—Non-manual adjustments, e.g. with electrical operation
    • B60N2/0244—Non-manual adjustments, e.g. with electrical operation with logic circuits
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60R—VEHICLES, VEHICLE FITTINGS, OR VEHICLE PARTS, NOT OTHERWISE PROVIDED FOR
    • B60R16/00—Electric or fluid circuits specially adapted for vehicles and not otherwise provided for; Arrangement of elements of electric or fluid circuits specially adapted for vehicles and not otherwise provided for
    • B60R16/02—Electric or fluid circuits specially adapted for vehicles and not otherwise provided for; Arrangement of elements of electric or fluid circuits specially adapted for vehicles and not otherwise provided for electric constitutive elements
    • B60R16/037—Electric or fluid circuits specially adapted for vehicles and not otherwise provided for; Arrangement of elements of electric or fluid circuits specially adapted for vehicles and not otherwise provided for electric constitutive elements for occupant comfort, e.g. for automatic adjustment of appliances according to personal settings, e.g. seats, mirrors, steering wheel
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00—Scenes; Scene-specific elements
    • G06V20/50—Context or environment of the image
    • G06V20/56—Context or environment of the image exterior to a vehicle by using sensors mounted on the vehicle
    • G06V20/588—Recognition of the road, e.g. of lane markings; Recognition of the vehicle driving pattern in relation to the road
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00—Scenes; Scene-specific elements
    • G06V20/50—Context or environment of the image
    • G06V20/59—Context or environment of the image inside of a vehicle, e.g. relating to seat occupancy, driver state or inner lighting conditions
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00—Scenes; Scene-specific elements
    • G06V20/50—Context or environment of the image
    • G06V20/59—Context or environment of the image inside of a vehicle, e.g. relating to seat occupancy, driver state or inner lighting conditions
    • G06V20/597—Recognising the driver's state or behaviour, e.g. attention or drowsiness

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  • Engineering & Computer Science (AREA)
  • Mechanical Engineering (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Multimedia (AREA)
  • Theoretical Computer Science (AREA)
  • Aviation & Aerospace Engineering (AREA)
  • Transportation (AREA)
  • Traffic Control Systems (AREA)

Abstract

The application discloses a seat adjusting method, a seat adjusting device and a vehicle-mounted system, wherein the method comprises the steps of obtaining current position data and a real-time road image shot by a camera; determining a corresponding road type according to the current position data and the real-time road image; determining a corresponding preset seat adjustment strategy according to the road type and the real-time weather condition; according to the preset seat adjusting strategy, the seat is automatically adjusted, the adjusting strategy of determining the seat according to the current road condition and weather condition is realized, the seat is automatically adjusted according to the adjusting strategy, the seat can be adjusted in real time according to the driving scene, the visual field of a driver can meet the requirement of safe driving, the wrapping degree of the seat can be adjusted in real time when the vehicle passes through a bumpy area, and the safety and the comfort of vehicle driving are improved.

Description

Seat adjusting method and device and vehicle-mounted system
Technical Field
The invention relates to the field of vehicle control, in particular to a seat adjusting method, a seat adjusting device and a vehicle-mounted system.
Background
In order to meet the driving and using requirements of a user, a seat of a vehicle generally has a seat adjusting function, and the user can manually or electrically adjust the angle, height and the like of the seat. However, the seat adjusting function of the vehicle generally requires manual operation of a user, and when the driving conditions such as a driving road change, the vehicle seat cannot be adjusted in real time according to the change of the driving conditions, and particularly, the visual field range of a driver is affected and the driving safety cannot be guaranteed because the vehicle seat cannot be adjusted in time under the driving conditions such as mountainous regions.
Disclosure of Invention
In order to overcome the defects in the prior art, the invention mainly aims to provide a seat adjusting method, a seat adjusting device and an on-board system.
In order to achieve the above object, the present invention provides, in a first aspect, a seat adjusting method, including:
acquiring current position data of a vehicle and a real-time road image shot by a first preset camera;
determining a corresponding road type according to the current position data and the real-time road image;
determining a corresponding preset seat adjustment strategy according to the road type and the real-time weather condition;
and automatically adjusting the seat according to the preset seat adjusting strategy.
In some embodiments, the method comprises:
acquiring human body characteristic data of a driver, wherein the human body characteristic data comprises body type data of the driver;
the step of determining the corresponding preset seat adjustment strategy according to the road type and the real-time weather condition comprises the following steps:
and determining a preset seat adjustment strategy corresponding to the driver seat according to the road type, the human body characteristic data of the driver and the real-time weather condition.
In some embodiments, the driver's anthropometric feature data further includes the driver's field of view coverage, the method comprising:
recognizing the sitting posture of the driver in the image according to a real-time image shot by a second preset camera, wherein the second preset camera is used for shooting the driver in the vehicle;
and determining the visual field coverage range of the driver according to the sitting posture.
In some embodiments, the method comprises:
recognizing the sitting posture of the driver seat after adjustment in the image according to the real-time image shot by the second preset camera;
and adjusting the angle of the vehicle rearview mirror according to the adjusted sitting posture.
In some embodiments, each road type comprises corresponding road attributes and terrain data, the determining a corresponding road type from the current location data and the real-time road image comprises:
predicting road attributes corresponding to the real-time road image by using the trained preset model;
acquiring terrain data corresponding to the current position data;
and determining a corresponding road type according to the predicted road attribute and the corresponding terrain data.
In some embodiments, the acquiring of the real-time weather condition comprises:
querying and acquiring a real-time weather condition corresponding to the current position data by adopting a preset method; and/or the presence of a gas in the gas,
and determining the real-time weather condition according to the vehicle exterior image shot by the first preset camera.
In some embodiments, the preset seat adjustment strategy includes an adjustment method and a corresponding adjustment degree of the seat; the determining of the preset seat adjustment strategy corresponding to the driver seat according to the road type, the human body characteristic data of the driver and the real-time weather condition comprises the following steps:
determining a preset seat adjustment strategy corresponding to the driver seat according to the road type and the real-time weather condition;
and when the human body characteristic data of the driver meet a preset condition, adjusting the adjustment degree contained in a preset seat adjustment strategy according to a preset rule.
In some embodiments, the method comprises:
acquiring human body characteristic data of a passenger, wherein the human body characteristic data comprises body type data of the passenger;
the step of determining the corresponding preset seat adjustment strategy according to the road type and the real-time weather condition comprises the following steps:
and determining a preset seat adjustment strategy corresponding to the seat taken by the passenger according to the road type, the human body characteristic data of the passenger and the real-time weather condition.
In a second aspect, the present application provides an adjustment device for a seat, the device comprising:
the acquisition module is used for acquiring current position data and a real-time road image shot by the camera;
the processing module is used for determining a corresponding road type according to the current position data and the real-time road image; determining a corresponding preset seat adjustment strategy according to the road type and the real-time weather condition;
and the adjusting module is used for automatically adjusting the seat according to the preset seat adjusting strategy.
In a third aspect, the present application provides an in-vehicle system, comprising:
one or more processors;
and memory associated with the one or more processors for storing program instructions that, when read and executed by the one or more processors, perform operations comprising:
acquiring current position data and a real-time road image shot by a camera;
determining a corresponding road type according to the current position data and the real-time road image;
determining a corresponding preset seat adjustment strategy according to the road type and the real-time weather condition;
and automatically adjusting the seat according to the preset seat adjusting strategy.
The invention has the following beneficial effects:
the application provides a seat adjusting method, which comprises the steps of obtaining current position data and a real-time road image shot by a camera; determining a corresponding road type according to the current position data and the real-time road image; determining a corresponding preset seat adjustment strategy according to the road type and the real-time weather condition; according to the preset seat adjusting strategy, the seat is automatically adjusted, the adjusting strategy of determining the seat according to the current road condition and weather condition is realized, the seat is adjusted according to the adjusting strategy, the seat can be adjusted in real time according to the driving scene, the visual field of a driver can meet the requirement of safe driving, meanwhile, the wrapping degree of the seat can be adjusted in real time when the vehicle passes through a bumpy area, and the safety and the comfort of vehicle driving are improved.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
FIG. 1 is a schematic diagram of a vehicle seat control system provided in an embodiment of the present application;
FIG. 2 is a flow chart of a method provided by an embodiment of the present application;
FIG. 3 is a block diagram of an apparatus according to an embodiment of the present disclosure;
FIG. 4 is a block diagram of an in-vehicle system according to an embodiment of the present disclosure.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
As described in the background art, in the prior art, a vehicle seat needs to be manually adjusted, cannot be automatically adjusted according to a real-time driving scene of a vehicle, and cannot ensure that a view field of a driver in various driving scenes can meet the requirement of safe driving.
In order to solve the technical problem, the application provides a seat adjusting method, which comprises the steps of obtaining current position data of a vehicle and a real-time road image shot by a first preset camera; determining a corresponding road type according to the current position data and the real-time road image; determining a corresponding preset seat adjustment strategy according to the road type and the real-time weather condition; according to preset seat adjustment strategy, the seat is automatically adjusted, and the seat can be automatically adjusted according to the actual driving scene, so that the actual requirements that the height, wrapping performance and other parameters of the seat can drive are met.
Example one
As shown in fig. 1, the present application provides a vehicle comprising a seat adjustment module, an adjustment decision module, and a data acquisition module. The seat adjusting module can adjust the backrest angle of a driver seat and other sitting positions of the vehicle, the wrapping degree of the seat, the height of the seat and the front and back adjustment of the position of the seat. The data acquisition module can include GPS orientation module, communication module, the interior camera of car and car, locate the sensor on the seat etc. accessible GPS orientation and modes such as V2X communication confirm the current position of vehicle and gather real-time data such as the interior image of car and the car of car. The adjustment decision module can make a decision according to the data acquired by the data acquisition module, determine an adjustment strategy of the seat, and control the seat adjustment module to automatically adjust the seat according to the adjustment strategy so as to meet the real-time driving requirement.
Specifically, the process of adjusting the seat of the vehicle according to the real-time driving condition comprises the following steps:
step one, acquiring current position data and a real-time road image;
the current position of the vehicle can be determined according to the GPS positioning result and the preset high-precision map.
The real-time road image can be obtained by shooting through a camera preset on the vehicle, obtained through communication modes such as V2X communication and the like, or acquired in any other modes, which is not limited in the present application.
Determining the type of the current road according to the current position data and the real-time road image;
preferably, the predicted driving route and the current speed of the vehicle may also be obtained, and the type of the road where the vehicle is located after the preset time period is determined as the current type of the road, so as to adjust the seat according to the route that the vehicle will pass through.
The terrain data corresponding to the current position data can be inquired and obtained, and the terrain data comprises corresponding terrain and the curvature and the slope of the road corresponding to the acquired terrain. The terrain may include mountainous regions, urban roads, highways, unpaved roads, and the like. According to the terrain data and the road attributes, the corresponding current road type can be determined. Preferably, the corresponding road attributes may be predicted from the real-time road images using a pre-trained machine learning model.
The machine learning model may be a classifiable model, and the training process of the machine learning model includes:
s1, acquiring a training data set;
a plurality of road attributes may be predetermined and a road image corresponding to each road attribute may be collected. Corresponding training data can be generated according to the determined road attributes and the road images. The training data set includes one or more training data. The road attributes may include whether or not pothole, whether or not it is a mountain road, whether or not it is a wading road, whether or not it is a winding mountain road, and the like.
And S2, training the machine learning model by using the training data set.
The trained machine learning model may determine road attributes from the road images, and may determine corresponding road types from the road attributes and terrain.
Preferably, a corresponding 3D virtual model may be generated from the road properties and the terrain data, so that a corresponding road type may be determined from the 3D virtual model.
Step three, acquiring a real-time weather condition;
the real-time weather condition can be analyzed and determined according to an image shot by a camera on the vehicle in advance, and the real-time weather condition corresponding to the current position can be acquired from a third party cloud service and the like in modes of V2X communication and the like.
The visibility level of the current driving scene can be determined according to the real-time weather condition. For example, the visibility level corresponding to each weather may be preset, or it may be determined that the visibility level is high when the weather is clear or cloudy, and it may be determined that the visibility level is low when a fog weather, a heavy rain weather, or the like occurs.
Step four, acquiring human body characteristic data of a driver;
the human characteristic data includes body shape data, which may include the height, weight, etc. of the driver. The height data and the weight data of the driver which are stored in advance can be obtained from a preset server, and the weight data can also be determined through a preset sensor on a driver seat.
Meanwhile, the passengers can upload the body data of height, weight and the like to a preset server or a vehicle so that the vehicle can obtain corresponding data.
The human characteristic data may also include a driver's field of view. The sitting posture of the driver can be determined according to the real-time image shot by the camera in the vehicle for shooting the driver, and then the visual field range of the driver can be determined according to the sitting posture. For example, the back-angling of the driver's seat and the height of the driver's eyes relative to the vehicle's driving instrument panel in the real-time image may be determined based on the sitting posture to determine the driver's field of view. And the corresponding rear adjusting angle of the driving seat can be obtained according to the seat adjusting module.
Fifthly, determining a corresponding preset seat adjustment strategy according to the road type, the human body characteristic data and the real-time weather condition;
the seat adjustment strategy comprises adjusting the seat backrest angle, the wrapping degree and the height of the seat of the driver seat and other sitting positions of the vehicle, and adjusting the seat position back and forth and the corresponding adjusting degree.
The road type and the seat adjustment strategy corresponding to the weather condition can be preset. For example:
for a vehicle running on a winding mountain road, the wrapping degree of the seat can be adjusted to be more compact so as to reduce the influence of the driving roll on the driving comfort;
for vehicles running in a hollow road section, the wrapping degree of the seat can be adjusted to be more compact so as to reduce bumpy weightlessness;
for vehicles running in severe weather conditions such as heavy fog, heavy rain and the like, the seat back can be adjusted to be upright, and the alertness of a driver is improved;
for vehicles traveling on unconventional roads such as mountain roads, wading roads, etc., the seat may be raised to extend the driver's field of vision.
The seat adjustment strategies for the driver's seat and other passenger seats of the same driver's yard type of vehicle may be the same or different.
Preferably, the seat adjustment strategy may further include a corresponding rearview mirror adjustment strategy, so as to prevent the driver from being unable to safely use the rearview mirror after the seat adjustment. Preferably, after the driving seat is adjusted, a camera in the vehicle is used for shooting the sitting posture of the driver, and the adjustment strategy of the rearview mirror is determined according to the sitting posture of the driver.
Preferably, for a driver or passenger with a weight exceeding a predetermined value or a BMI index exceeding a predetermined threshold, a predetermined degree of adjustment to the seat slope in the determined seat adjustment strategy may be reduced.
Preferably, the degree of adjustment included in the seat adjustment strategy is adjustable based on topographical data included in the current road type, such as curvature and slope of the road.
The degree of height adjustment of the seat in the determined seat adjustment strategy may be increased when the driver's field of view is less than a preset range.
For a heavier driver or passenger, the degree of adjustment to the seat slope in other situations may be reduced.
And step six, automatically adjusting the seat according to the determined seat adjustment strategy.
When an instruction of stopping the automatic adjustment of the seat by the user is received, the vehicle does not automatically adjust the seat any more. Preferably, the user may issue an instruction to stop the automatic adjustment of the seat through a preset stop button.
Example two
In accordance with the above embodiments, the present application provides a method of adjusting a seat, as shown in fig. 2, the method including:
a method of adjusting a seat, the method comprising:
210. acquiring current position data of a vehicle and a real-time road image shot by a first preset camera;
220. determining a corresponding road type according to the current position data and the real-time road image;
preferably, each road type includes corresponding road attributes and topographic data, and determining the corresponding road type according to the current location data and the real-time road image includes:
221. predicting road attributes corresponding to the real-time road image by using the trained preset model;
222 obtaining terrain data corresponding to the current position data;
223. and determining a corresponding road type according to the predicted road attribute and the corresponding terrain data.
230. Determining a corresponding preset seat adjustment strategy according to the road type and the real-time weather condition;
preferably, the method comprises:
231. acquiring human body characteristic data of a driver, wherein the human body characteristic data comprises body type data of the driver;
the step of determining the corresponding preset seat adjustment strategy according to the road type and the real-time weather condition comprises the following steps:
232. and determining a preset seat adjustment strategy corresponding to the driver seat according to the road type, the human body characteristic data of the driver and the real-time weather condition.
Preferably, the human characteristic data of the driver further includes a visual field coverage of the driver, and the method includes:
233. recognizing the sitting posture of the driver in the image according to a real-time image shot by a second preset camera, wherein the second preset camera is used for shooting the driver in the vehicle;
234. and determining the visual field coverage range of the driver according to the sitting posture.
Preferably, the method comprises:
235. recognizing the sitting posture of the driver seat after adjustment in the image according to the real-time image shot by the second preset camera;
236. and adjusting the angle of the vehicle rearview mirror according to the adjusted sitting posture.
Preferably, the process of acquiring the real-time weather condition includes:
237. the method inquires and acquires the real-time weather condition corresponding to the current position data;
and/or
And determining the real-time weather condition according to the vehicle exterior image shot by the first preset camera.
Preferably, the preset seat adjustment strategy comprises an adjustment method and a corresponding adjustment degree of the seat; the determining of the preset seat adjustment strategy corresponding to the driver seat according to the road type, the human body characteristic data of the driver and the real-time weather condition comprises the following steps:
238. determining a preset seat adjustment strategy corresponding to the driver seat according to the road type and the real-time weather condition;
and when the human body characteristic data of the driver meet a preset condition, adjusting the adjustment degree contained in a preset seat adjustment strategy according to a preset rule.
Preferably, the method comprises:
239. acquiring human body characteristic data of passengers;
and determining a preset seat adjustment strategy corresponding to the seat taken by the passenger according to the road type, the human body characteristic data of the passenger and the real-time weather condition.
240. And automatically adjusting the seat according to the preset seat adjusting strategy.
EXAMPLE III
In response to the above method, the present application provides an adjustment device for a seat, as shown in fig. 3, the device comprising:
an obtaining module 310, configured to obtain current position data and a real-time road image captured by a camera;
the processing module 320 is configured to determine a corresponding road type according to the current position data and the real-time road image; determining a corresponding preset seat adjustment strategy according to the road type and the real-time weather condition;
and the adjusting module 330 is configured to automatically adjust the seat according to the preset seat adjusting strategy.
Preferably, the obtaining module 310 is further configured to obtain human body feature data of a driver, where the human body feature data includes body shape data of the driver; the processing module 320 may further be configured to determine a preset seat adjustment strategy corresponding to the driver seat according to the road type, the human body characteristic data of the driver, and the real-time weather condition.
Preferably, the human body characteristic data of the driver further includes a visual field coverage of the driver, and the processing module 320 is further configured to identify a sitting posture of the driver in the image according to a real-time image captured by a second preset camera, where the second preset camera is used for capturing the driver in the vehicle; and determining the visual field coverage range of the driver according to the sitting posture.
Preferably, the processing module 320 is further configured to identify a sitting posture of the driver seat after adjustment in the image according to a real-time image captured by a second preset camera; and adjusting the angle of the vehicle rearview mirror according to the adjusted sitting posture.
Preferably, each road type includes corresponding road attributes and topographic data, and the processing module 320 is further configured to predict the road attributes corresponding to the real-time road image using the trained preset model; acquiring terrain data corresponding to the current position data; and determining a corresponding road type according to the predicted road attribute and the corresponding terrain data.
Preferably, the obtaining module 310 is further configured to query and obtain a real-time weather condition corresponding to the current location data by using a preset method; and/or determining the real-time weather condition according to the vehicle exterior image shot by the first preset camera.
Preferably, the preset seat adjustment strategy comprises an adjustment method and a corresponding adjustment degree of the seat; the processing module 320 may also be configured to determine a preset seat adjustment strategy corresponding to the driver seat according to the road type and the real-time weather condition; and when the human body characteristic data of the driver meet a preset condition, adjusting the adjustment degree contained in a preset seat adjustment strategy according to a preset rule.
Preferably, the obtaining module 310 is further configured to obtain human body feature data of a passenger, where the human body feature data includes body shape data of the passenger; the processing module 320 may further be configured to determine a preset seat adjustment policy corresponding to a seat in which the passenger sits according to the road type, the human body characteristic data of the passenger, and the real-time weather condition.
Example four
Corresponding to the method, the device and the system, the embodiment of the application provides a vehicle-mounted system, which comprises: one or more processors; and memory associated with the one or more processors for storing program instructions that, when read and executed by the one or more processors, perform operations comprising:
acquiring current position data of a vehicle and a real-time road image shot by a first preset camera;
determining a corresponding road type according to the current position data and the real-time road image;
determining a corresponding preset seat adjustment strategy according to the road type and the real-time weather condition;
and automatically adjusting the seat according to the preset seat adjusting strategy.
FIG. 4 illustrates an architecture of an in-vehicle system, which may include, in particular, a processor 1510, a video display adapter 1511, a disk drive 1512, an input/output interface 1513, a network interface 1514, and a memory 1520. The processor 1510, video display adapter 1511, disk drive 1512, input/output interface 1513, network interface 1514, and memory 1520 may be communicatively coupled via a communication bus 1530.
The processor 1510 may be implemented by a general-purpose CPU (Central Processing Unit), a microprocessor, an Application Specific Integrated Circuit (ASIC), or one or more Integrated circuits, and is configured to execute related programs to implement the technical solution provided by the present Application.
The Memory 1520 may be implemented in the form of a ROM (Read Only Memory), a RAM (Random Access Memory), a static storage device, a dynamic storage device, or the like. The memory 1520 may store an operating system 1521 for controlling the operation of the in-vehicle system, a Basic Input Output System (BIOS)1522 for controlling low-level operations of the in-vehicle system. In addition, a web browser 1523, a data storage management 1524, an icon font processing system 1525, and the like may also be stored. The icon font processing system 1525 may be an application program that implements the operations of the foregoing steps in this embodiment of the application. In summary, when the technical solution provided by the present application is implemented by software or firmware, the relevant program codes are stored in the memory 1520 and called for execution by the processor 1510.
The input/output interface 1513 is used for connecting an input/output module to realize information input and output. The i/o module may be configured as a component in a device (not shown) or may be external to the device to provide a corresponding function. The input devices may include a keyboard, a mouse, a touch screen, a microphone, various sensors, etc., and the output devices may include a display, a speaker, a vibrator, an indicator light, etc.
The network interface 1514 is used to connect a communication module (not shown) to enable the device to communicatively interact with other devices. The communication module can realize communication in a wired mode (such as USB, network cable and the like) and also can realize communication in a wireless mode (such as mobile network, WIFI, Bluetooth and the like).
The bus 1530 includes a path to transfer information between the various components of the device, such as the processor 1510, the video display adapter 1511, the disk drive 1512, the input/output interface 1513, the network interface 1514, and the memory 1520.
In addition, the in-vehicle system may also obtain information of specific pickup conditions from the virtual resource object pickup condition information database 1541 for performing condition judgment, and the like.
It should be noted that although the above devices only show the processor 1510, the video display adapter 1511, the disk drive 1512, the input/output interface 1513, the network interface 1514, the memory 1520, the bus 1530, etc., in a specific implementation, the devices may also include other components necessary for proper operation. Furthermore, it will be understood by those skilled in the art that the apparatus described above may also include only the components necessary to implement the solution of the present application, and not necessarily all of the components shown in the figures.
From the above description of the embodiments, it is clear to those skilled in the art that the present application can be implemented by software plus necessary general hardware platform. Based on such understanding, the technical solutions of the present application may be embodied in the form of a software product, which may be stored in a storage medium, such as a ROM/RAM, a magnetic disk, an optical disk, or the like, and includes several instructions for enabling a computer device (which may be a personal computer, a cloud server, or a network device) to execute the method according to the embodiments or some parts of the embodiments of the present application.
The embodiments in the present specification are described in a progressive manner, and the same and similar parts among the embodiments are referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, the system or system embodiments are substantially similar to the method embodiments and therefore are described in a relatively simple manner, and reference may be made to some of the descriptions of the method embodiments for related points. The above-described system and system embodiments are only illustrative, wherein the units described as separate parts may or may not be physically separate, and the parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment. One of ordinary skill in the art can understand and implement it without inventive effort.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents, improvements and the like that fall within the spirit and principle of the present invention are intended to be included therein.

Claims (9)

1. A method of adjusting a seat, the method comprising:
acquiring current position data of a vehicle and a real-time road image shot by a first preset camera;
determining a corresponding road type according to the current position data and the real-time road image;
determining a corresponding preset seat adjustment strategy according to the road type and the real-time weather condition;
automatically adjusting the seat according to the preset seat adjusting strategy;
wherein each road type comprises corresponding road attributes and topographic data, the topographic data comprises a curvature and a slope of the road, and determining the corresponding road type according to the current position data and the real-time road image comprises:
predicting road attributes corresponding to the real-time road image by using the trained preset model;
acquiring terrain data corresponding to the current position data;
and determining a corresponding road type according to the predicted road attribute and the corresponding terrain data.
2. The method according to claim 1, characterized in that it comprises:
acquiring human body characteristic data of a driver, wherein the human body characteristic data comprises body type data of the driver;
the step of determining the corresponding preset seat adjustment strategy according to the road type and the real-time weather condition comprises the following steps:
and determining a preset seat adjustment strategy corresponding to the driver seat according to the road type, the human body characteristic data of the driver and the real-time weather condition.
3. The method of claim 2, wherein the driver's human characteristic data further includes a driver's field of view coverage, the method comprising:
recognizing the sitting posture of the driver in the image according to a real-time image shot by a second preset camera, wherein the second preset camera is used for shooting the driver in the vehicle;
and determining the visual field coverage range of the driver according to the sitting posture.
4. The method of claim 2, wherein the method comprises:
recognizing the sitting posture of the driver seat after adjustment in the image according to the real-time image shot by the second preset camera;
and adjusting the angle of the vehicle rearview mirror according to the adjusted sitting posture.
5. The method according to any one of claims 1 to 4, characterized in that the method comprises:
querying and acquiring a real-time weather condition corresponding to the current position data by adopting a preset method; and/or the presence of a gas in the gas,
and determining the real-time weather condition according to the vehicle exterior image shot by the first preset camera.
6. The method according to any one of claims 2 to 4, wherein the preset seat adjustment strategy comprises a seat adjustment method and a corresponding adjustment degree;
the determining of the preset seat adjustment strategy corresponding to the driver seat according to the road type, the human body characteristic data of the driver and the real-time weather condition comprises the following steps:
determining a preset seat adjustment strategy corresponding to the driver seat according to the road type and the real-time weather condition;
and when the human body characteristic data of the driver meet a preset condition, adjusting the adjustment degree contained in a preset seat adjustment strategy according to a preset rule.
7. The method according to any of claims 2-4, characterized in that the method comprises:
acquiring human body characteristic data of a passenger, wherein the human body characteristic data comprises body type data of the passenger;
the step of determining the corresponding preset seat adjustment strategy according to the road type and the real-time weather condition comprises the following steps:
and determining a preset seat adjustment strategy corresponding to the seat taken by the passenger according to the road type, the human body characteristic data of the passenger and the real-time weather condition.
8. An adjustment device for a seat, the device comprising:
the acquisition module is used for acquiring current position data and a real-time road image shot by the camera;
the processing module is used for determining a corresponding road type according to the current position data and the real-time road image; determining a corresponding preset seat adjustment strategy according to the road type and the real-time weather condition;
the adjusting module is used for automatically adjusting the seat according to the preset seat adjusting strategy;
wherein each road type comprises corresponding road attributes and topographic data, the topographic data comprises a curvature and a slope of the road, and determining the corresponding road type according to the current position data and the real-time road image comprises:
predicting road attributes corresponding to the real-time road image by using the trained preset model;
acquiring terrain data corresponding to the current position data;
and determining a corresponding road type according to the predicted road attribute and the corresponding terrain data.
9. An in-vehicle system, characterized in that the in-vehicle system comprises:
one or more processors;
and memory associated with the one or more processors for storing program instructions that, when read and executed by the one or more processors, perform operations comprising:
acquiring current position data and a real-time road image shot by a camera;
determining a corresponding road type according to the current position data and the real-time road image;
determining a corresponding preset seat adjustment strategy according to the road type and the real-time weather condition;
automatically adjusting the seat according to the preset seat adjusting strategy;
wherein each road type comprises corresponding road attributes and topographic data, the topographic data comprises a curvature and a slope of the road, and determining the corresponding road type according to the current position data and the real-time road image comprises:
predicting road attributes corresponding to the real-time road image by using the trained preset model;
acquiring terrain data corresponding to the current position data;
and determining a corresponding road type according to the predicted road attribute and the corresponding terrain data.
CN202011247344.4A 2020-11-10 2020-11-10 Seat adjusting method and device and vehicle-mounted system Active CN112339622B (en)

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CN113386638A (en) * 2021-07-21 2021-09-14 芜湖雄狮汽车科技有限公司 Method and device for adjusting vehicle seat
CN113859254A (en) * 2021-09-28 2021-12-31 国汽智控(北京)科技有限公司 Vehicle function unit automatic setting method, device, equipment and storage medium
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