Method, device, electronic equipment and storage medium for intelligent vehicle control

Abstract

The embodiment of the present application discloses a method, device, electronic device and storage medium for intelligent vehicle control, which is used to intelligently analyze the physiological characteristics of the target passenger to determine whether the user has motion sickness characteristics. When the target passenger has motion sickness characteristics, the cause of motion sickness is detected for the vehicle, and the corresponding motion sickness relief operation is performed, thereby improving the degree of intelligence in alleviating the user's motion sickness. The method of the embodiment of the present application includes: obtaining the physiological characteristics of the target passenger; judging whether the target passenger has motion sickness based on the physiological characteristics; if so, obtaining vehicle driving information, the vehicle driving information includes acceleration information of the target vehicle; judging whether the target vehicle has driving bumps based on the acceleration information; if so, sending a reminder to reduce driving bumps to the driver.

Description

Technical Field

[0001] The embodiments of the present application relate to the field of vehicle control, and in particular to methods, devices, electronic devices and storage media for intelligent vehicle control. Background Art

[0002] With the development of diversified transportation modes, people have more and more choices in travel modes, and driving comfort has become an important consideration for passengers' travel choices. Among them, motion sickness is the main aspect that tests the driving comfort of a vehicle.

[0003] During the driving process, many passengers and even drivers may experience motion sickness. When riding in a vehicle, due to various factors such as swaying, bumping, rotating, and accelerating, some passengers will experience motion sickness symptoms such as cold sweats, nausea, vomiting, and dizziness. Especially for new energy vehicles, which accelerate quickly, motion sickness is more likely to occur.

[0004] The existing vehicles mainly alleviate passengers' motion sickness by manually opening windows or manually controlling ventilation devices, thereby changing the in-vehicle environment and the comfort level of passengers. The level of intelligence in alleviating users' motion sickness is low. Summary of the invention

[0005] In a first aspect, the present application provides a method for intelligent vehicle control to solve the problem of low intelligence level in alleviating motion sickness of users. The method for intelligent vehicle control includes:

[0006] Obtain the physiological characteristics of the target passenger;

[0007] Determine whether the target passenger suffers from motion sickness based on physiological characteristics;

[0008] If yes, then obtain the vehicle driving information, which includes the acceleration information of the target vehicle;

[0009] Determine whether the target vehicle has bumpy driving according to the acceleration information;

[0010] If so, a reminder to reduce driving bumps is sent to the driver.

[0011] Optionally, the physiological characteristics include passenger body behavior characteristics, passenger facial features, and passenger vital signs information;

[0012] Determine whether the target passenger is experiencing motion sickness based on physiological characteristics, including:

[0013] Acquire motion sickness features from a motion sickness feature database, where the motion sickness features include motion sickness limb behavior features, motion sickness facial features, and motion sickness physical sign data;

[0014] Analyze the passenger's limb behavior characteristics, passenger's facial characteristics, and passenger's physical sign information in the physiological characteristics and the motion sickness limb behavior characteristics, motion sickness facial characteristics, and motion sickness physical sign data to generate an analysis result;

[0015] Whether the target passenger suffers from motion sickness is determined based on the comparison result.

[0016] Optionally, the vehicle driving information further includes vehicle speed information. After determining whether the target vehicle has driving bumps according to the acceleration information, the method further includes:

[0017] If the target vehicle does not have bumpy driving, determine whether the target vehicle is speeding based on the vehicle speed information;

[0018] If the target vehicle is speeding, a prompt to reduce the speed will be sent to the driver.

[0019] Optionally, the vehicle driving information further includes in-vehicle air information. After determining whether the target vehicle is speeding according to the vehicle speed information, the method further includes:

[0020] If the target vehicle is not speeding, determine whether the air circulation of the target vehicle is obstructed based on the air information inside the vehicle;

[0021] When the air circulation of the target vehicle is blocked, the windows of the target vehicle are opened according to the position information of the target passenger.

[0022] Optionally, after determining whether air circulation of the target vehicle is obstructed according to the in-vehicle air information, the method further includes:

[0023] When the air circulation of the target vehicle is not obstructed, a seat adjustment request is sent to the target passenger;

[0024] Determine whether a confirmation adjustment instruction from the target passenger is received within a preset time;

[0025] If so, the seat is automatically adjusted according to the position information of the target passenger.

[0026] Optionally, obtain the target passenger's physiological characteristics, including:

[0027] Periodically obtain vehicle passenger information, where the vehicle passenger information includes location information of target passengers on the target vehicle during driving;

[0028] Obtaining a riding video of the target passenger according to the location information of the target passenger;

[0029] The physiological characteristics of the target passengers are obtained based on the riding video.

[0030] Optionally, after determining that the target passenger suffers from motion sickness according to the comparison result, the method further includes:

[0031] Search the Internet for motion sickness relief methods and announce them using the target vehicle's public address system.

[0032] In a first aspect, the present application provides a vehicle intelligent control device to solve the problem of low intelligence level in alleviating motion sickness of users. The vehicle intelligent control device includes:

[0033] A first acquisition unit, used to acquire physiological characteristics of a target passenger;

[0034] A first judging unit is used to judge whether the target passenger suffers from motion sickness according to physiological characteristics;

[0035] A second acquisition unit is used to acquire vehicle driving information when the first judgment unit determines that the target passenger suffers from motion sickness, wherein the vehicle driving information includes acceleration information of the target vehicle;

[0036] A second judgment unit is used to judge whether the target vehicle has a bumpy ride according to the acceleration information;

[0037] The first prompting unit is used to send a reminder to reduce the driving bumps to the driver when the second judgment unit determines that the target vehicle has driving bumps.

[0038] Optionally, the physiological characteristics include passenger body behavior characteristics, passenger facial features, and passenger vital signs information;

[0039] The first judgment unit is specifically:

[0040] Acquire motion sickness features from a motion sickness feature database, where the motion sickness features include motion sickness limb behavior features, motion sickness facial features, and motion sickness physical sign data;

[0041] Analyze the passenger's limb behavior characteristics, passenger's facial characteristics, and passenger's physical sign information in the physiological characteristics and the motion sickness limb behavior characteristics, motion sickness facial characteristics, and motion sickness physical sign data to generate an analysis result;

[0042] Whether the target passenger suffers from motion sickness is determined based on the comparison result.

[0043] Optionally, the vehicle driving information further includes vehicle speed information, and the device further includes:

[0044] A third judgment unit is used to judge whether the target vehicle is speeding according to the vehicle speed information when the target vehicle does not have a bumpy ride;

[0045] The second prompting unit is used to send a prompt to the driver to reduce the driving speed when the target vehicle is speeding.

[0046] Optionally, the vehicle driving information further includes in-vehicle air information, and the device further includes:

[0047] A fourth judgment unit is used to judge whether the air circulation of the target vehicle is obstructed according to the air information in the vehicle if the target vehicle is not speeding;

[0048] The opening unit is used to open the window of the target vehicle according to the position information of the target passenger when the air circulation of the target vehicle is blocked.

[0049] Optionally, the device further comprises:

[0050] a sending unit, configured to send a seat adjustment request to a target passenger when air circulation of the target vehicle is not obstructed;

[0051] A fifth determination unit, used to determine whether a confirmation adjustment instruction of the target passenger is received within a preset time;

[0052] The adjustment unit is used to automatically adjust the seat according to the position information of the target passenger when receiving a confirmation adjustment instruction from the target passenger within a preset time.

[0053] Optionally, the first acquisition unit is specifically:

[0054] Periodically obtain vehicle passenger information, where the vehicle passenger information includes location information of target passengers on the target vehicle during driving;

[0055] Obtaining a riding video of the target passenger according to the location information of the target passenger;

[0056] The physiological characteristics of the target passengers are obtained based on the riding video.

[0057] Optionally, the device further comprises:

[0058] The execution unit is used for searching the motion sickness relief method through the Internet and announcing the method through the broadcasting system of the target vehicle.

[0059] A third aspect of the present application provides an electronic device, characterized in that it includes:

[0060] Processor, memory, input-output unit, and bus;

[0061] The processor is connected to the memory, the input and output unit, and the bus;

[0062] The memory stores a program, and the processor calls the program to execute the first aspect and any optional vehicle intelligent control method of the first aspect.

[0063] The fourth aspect of the present application provides a computer-readable storage medium, on which a program is stored. When the program is executed on a computer, the method for intelligent vehicle control as described in the first aspect and any optional method of intelligent vehicle control as described in the first aspect is executed.

[0064] It can be seen from the above technical solutions that the embodiments of the present application have the following advantages:

[0065] First, the physiological characteristics of the target passenger are obtained, and it is determined whether the target passenger experiences motion sickness based on the physiological characteristics. If the target passenger experiences motion sickness, the vehicle driving information is first obtained, and the vehicle driving information includes the acceleration information of the target vehicle. It is determined whether the target vehicle has a bumpy ride based on the acceleration information. If the target vehicle has a bumpy ride, a reminder to reduce the bumpy ride is sent to the driver. In the embodiment of the present application, the physiological characteristics of the target passenger are intelligently analyzed to determine whether the user has motion sickness characteristics. When the target passenger has motion sickness characteristics, the cause of motion sickness is detected for the vehicle, and a corresponding motion sickness relief operation is performed, thereby improving the degree of intelligence in alleviating the user's motion sickness. BRIEF DESCRIPTION OF THE DRAWINGS

[0066] Figure 1 A schematic diagram of an embodiment of the method for intelligent vehicle control according to an embodiment of the present application;

[0067] Figure 2-1 to Figure 2-2 A schematic diagram of another embodiment of the method for intelligent vehicle control according to an embodiment of the present application;

[0068] Figure 3 A schematic diagram of an embodiment of a device for intelligent vehicle control according to an embodiment of the present application;

[0069] Figure 4 A schematic diagram of another embodiment of the device for intelligent vehicle control according to an embodiment of the present application;

[0070] Figure 5 This is a schematic diagram of an embodiment of an electronic device of the present application. DETAILED DESCRIPTION

[0071] In the following description, specific details such as specific system structures, technologies, etc. are provided for the purpose of illustration rather than limitation, so as to provide a thorough understanding of the embodiments of the present application. However, it should be clear to those skilled in the art that the present application may also be implemented in other embodiments without these specific details. In other cases, detailed descriptions of well-known systems, devices, circuits, and methods are omitted to prevent unnecessary details from obstructing the description of the present application.

[0072] It should be understood that when used in the present specification and the appended claims, the term "comprising" indicates the presence of described features, wholes, steps, operations, elements and / or components, but does not exclude the presence or addition of one or more other features, wholes, steps, operations, elements, components and / or combinations thereof.

[0073] It should also be understood that the term “and / or” used in the specification and appended claims refers to any and all possible combinations of one or more of the associated listed items, and includes these combinations.

[0074] As used in the specification and appended claims of this application, the term "if" can be interpreted as "when" or "uponce" or "in response to determining" or "in response to detecting", depending on the context. Similarly, the phrase "if it is determined" or "if [described condition or event] is detected" can be interpreted as meaning "uponce it is determined" or "in response to determining" or "uponce [described condition or event] is detected" or "in response to detecting [described condition or event]", depending on the context.

[0075] In addition, in the description of the present application specification and the appended claims, the terms "first", "second", "third", etc. are only used to distinguish the descriptions and cannot be understood as indicating or implying relative importance.

[0076] References to "one embodiment" or "some embodiments" etc. described in the specification of this application mean that one or more embodiments of the present application include specific features, structures or characteristics described in conjunction with the embodiment. Therefore, the statements "in one embodiment", "in some embodiments", "in some other embodiments", "in some other embodiments", etc. that appear in different places in this specification do not necessarily refer to the same embodiment, but mean "one or more but not all embodiments", unless otherwise specifically emphasized in other ways. The terms "including", "comprising", "having" and their variations all mean "including but not limited to", unless otherwise specifically emphasized in other ways.

[0077] In the prior art, the way vehicles alleviate passengers' motion sickness is mainly by manually opening windows or manually controlling ventilation devices, thereby changing the in-vehicle environment and the comfort level of passengers. The degree of intelligence in alleviating users' motion sickness is low.

[0078] Based on this, the present application provides a method, device, electronic device and storage medium for intelligent vehicle control, which are used to determine whether the user has motion sickness symptoms by intelligently analyzing the physiological characteristics of the target passenger. When the target passenger has motion sickness symptoms, the cause of motion sickness is detected for the vehicle and corresponding motion sickness relief operations are performed, thereby improving the intelligence level of alleviating the user's motion sickness.

[0079] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0080] The method of the present application can be applied to a server, a device, a terminal or other devices with logic processing capabilities, and the present application does not limit this. For the convenience of description, the following description is made by taking the execution subject as an example of a terminal.

[0081] See also Figure 1 The present application provides an embodiment of a method for intelligent vehicle control, comprising:

[0082] 101. Obtain the physiological characteristics of the target passenger.

[0083] The physiological characteristics of the target passenger refer to the manifestation of various physical characteristics of the target passenger when the target passenger is in the target vehicle and the target vehicle enters the driving state. The target passenger can be a driver or a non-driver.

[0084] The terminal obtains the physiological characteristics of the target passenger through a camera and an infrared camera. The camera obtains physiological characteristics such as the target passenger's movement information and micro-expression information, and the infrared camera obtains physiological characteristics such as the target passenger's body heat change information. In addition to cameras and infrared cameras, physiological characteristics can also be obtained through a variety of data extraction instruments that obtain biometric characteristics, which are not limited here.

[0085] 102. Determine whether the target passenger suffers from motion sickness based on physiological characteristics.

[0086] The terminal determines whether the target passenger suffers from motion sickness based on the motion information, micro-expression information and body heat change information in the physiological characteristics. Specifically, the terminal compares the motion information of motion sickness symptoms and the micro-expression information of motion sickness symptoms, and combines the body heat change information to comprehensively determine whether the physiological characteristics of the target passenger have a similarity with the physiological characteristics of motion sickness that reaches a preset value, or comprehensively determines whether the physiological characteristics of the target passenger are consistent with the physiological characteristics of one of the multiple motion sicknesses. If they are consistent, step 103 is executed.

[0087] 103. If yes, obtain vehicle driving information, where the vehicle driving information includes acceleration information of the target vehicle.

[0088] When the target vehicle is in the starting process, the terminal records the acceleration process, deceleration process, uphill and downhill speeds, and tire pressure data of the target vehicle, which are mainly data generated during the vehicle driving process, all of which fall within the scope of the embodiments of the present application.

[0089] When the terminal determines that the target passenger suffers from motion sickness according to the physiological characteristics in the physiological characteristics, it is necessary to judge the cause of the motion sickness, and the terminal obtains the vehicle driving information, which includes the acceleration information of the target vehicle.

[0090] 104. Determine whether the target vehicle has bumpy driving according to the acceleration information.

[0091] The terminal determines whether the target vehicle has a bumpy ride based on the acceleration information. When the vehicle is on a flat road, the acceleration will tend to rise steadily and smoothly or fall steadily and smoothly. However, when the route is bumpy, the acceleration of the vehicle will produce an extremely short mutation. Therefore, it can be determined from the acceleration curve of the vehicle whether the target vehicle is on a steep road section, that is, whether the target vehicle has a bumpy ride. If so, execute step 105.

[0092] 105. If yes, a reminder to reduce driving bumps is sent to the driver.

[0093] When the terminal determines that the target vehicle has bumpy driving based on the acceleration information, the terminal determines that the current target passenger's motion sickness may be due to the target vehicle being on a steep road section, which causes bumps during the target vehicle's driving and ultimately leads to the target passenger's motion sickness. At this time, it is necessary to send a reminder to the driver to reduce driving bumps, so that the driver can slow down as much as possible to reduce bumps.

[0094] The physiological characteristics of the target passenger are obtained, and it is determined whether the target passenger experiences motion sickness based on the physiological characteristics. If the target passenger experiences motion sickness, the vehicle driving information is first obtained, and the vehicle driving information includes the acceleration information of the target vehicle. It is determined whether the target vehicle has a bumpy ride based on the acceleration information. If the target vehicle has a bumpy ride, a reminder to reduce the bumpy ride is sent to the driver. In the embodiment of the present application, the physiological characteristics of the target passenger are intelligently analyzed to determine whether the user has motion sickness characteristics. When the target passenger has motion sickness characteristics, the cause of motion sickness is detected for the vehicle, and a corresponding motion sickness relief operation is performed, thereby improving the intelligence level of alleviating the user's motion sickness.

[0095] See also Figure 2-1 to Figure 2-2 The present application provides an embodiment of a method for intelligent vehicle control, comprising:

[0096] 201. Periodically obtain vehicle passenger information, where the vehicle passenger information includes location information of target passengers on the target vehicle during driving.

[0097] The terminal periodically obtains vehicle passenger information. The vehicle passenger information includes the location information of the target passengers on the target vehicle during driving. The purpose is to repeatedly detect the physical condition of the target passengers. The occurrence of motion sickness symptoms is related to human physical differences. People with better physical fitness may not experience motion sickness, but it may also be related to the riding time. Periodic detection is required for use.

[0098] Secondly, periodic detection can also be performed when motion sickness symptoms have already occurred and the terminal of the target vehicle has responded to the situation. At this time, it is still necessary to detect the physiological characteristics of the target passenger after a period of time to determine whether the motion sickness symptoms have been relieved or whether the motion sickness symptoms continue.

[0099] 202. Obtain a riding video of the target passenger according to the location information of the target passenger.

[0100] The terminal first obtains the location information of the target passenger, obtains the target passenger's riding video based on the target passenger's location information, determines whether the target passenger is in the driver's seat, the co-pilot seat, or the back seat, etc. based on the target passenger's location information, and then obtains the target passenger's riding video.

[0101] 203. Generate physiological characteristics of target passengers based on the riding video.

[0102] The terminal captures the target passenger's micro-expression information and movement information based on the ride video, as well as body heat change information from the goods photographed by the infrared camera.

[0103] 204. Acquire motion sickness features from a motion sickness feature database, where the motion sickness features include motion sickness limb behavior features, motion sickness facial features, and motion sickness physical sign data.

[0104] Motion sickness physical behavior characteristics are mainly reflected in the actions that passengers are prone to when they are motion sick, such as holding their foreheads, massaging their temples, and holding their abdomens. Motion sickness facial characteristics mainly analyze the facial micro-expressions of motion sickness passengers, which mainly include frowning and nausea. Motion sickness physical sign data mainly analyzes the body temperature and heart rate of motion sickness users.

[0105] The terminal obtains big data information of motion sickness characteristics from its own motion sickness feature database. The motion sickness characteristics include motion sickness limb behavior characteristics, motion sickness facial features and motion sickness physical sign data, and uses the big data information to analyze the motion sickness characteristics.

[0106] 205. Analyze the passenger's limb behavior characteristics, passenger's facial characteristics, and passenger's physical sign information in the physiological characteristics and the motion sickness limb behavior characteristics, motion sickness facial characteristics, and motion sickness physical sign data to generate an analysis result.

[0107] 206. Determine whether the target passenger suffers from motion sickness based on the comparison result.

[0108] The terminal analyzes the passenger's body behavior characteristics, facial characteristics and physical sign information in the physiological characteristics and motion sickness body behavior characteristics, motion sickness facial characteristics and motion sickness physical sign data to generate an analysis result, and determines whether the target passenger has motion sickness based on the comparison result. The following is an example:

[0109] When the terminal detects that a passenger has boarded the vehicle and that the vehicle has entered the driving state, the terminal acquires the vehicle passenger information every 5 minutes and analyzes the number of people in the target vehicle and their corresponding positions. When the terminal detects that there are passengers in the main driver and the co-driver, the terminal uses the camera to capture the video information of driver A and passenger B respectively, and captures the facial image, action image and body temperature change image of driver A and passenger B through the video information, and acquires the heart rate data of driver A and passenger B. The terminal acquires the motion sickness feature from the motion sickness feature database, which includes motion sickness limb behavior features, motion sickness facial features and motion sickness physical sign data, and compares the physiological features of driver A and passenger B. The motion sickness feature database contains the heart rate data, micro-expression data, action data and heat change of target vehicles with multiple motion sickness symptoms. The terminal compares driver A and passenger B with each motion sickness passenger in the database to find a matching motion sickness case. If there is a matching motion sickness case, it means that the target passenger has motion sickness.

[0110] 207. If yes, obtain vehicle driving information, where the vehicle driving information includes acceleration information of the target vehicle.

[0111] 208. Determine whether the target vehicle has bumpy driving according to the acceleration information.

[0112] 209. If yes, a reminder to reduce driving bumps is sent to the driver.

[0113] Steps 207 to 209 in this embodiment are similar to steps 103 to 105 in the above-mentioned embodiment and are not described again here.

[0114] 210. The vehicle driving information also includes vehicle speed information. If the target vehicle does not experience driving bumps, it is determined whether the target vehicle is speeding based on the vehicle speed information.

[0115] When the terminal determines from the acceleration information that the target vehicle does not have a bumpy ride, it determines whether the target vehicle is speeding according to the speed information in the vehicle driving information. Speeding may affect the psychology of the target passenger and cause motion sickness. When the terminal determines from the speed information in the vehicle driving information that the target vehicle is speeding, step 211 is executed.

[0116] 211. If the target vehicle is speeding, a reminder to reduce the speed will be sent to the driver.

[0117] When the terminal determines that the target vehicle is speeding according to the speed information in the vehicle driving information, the terminal determines that the current target passenger is suffering from motion sickness due to excessive speed, and sends a reminder to the driver to reduce the speed to reduce the motion sickness of the target passenger.

[0118] 212. The vehicle driving information also includes in-vehicle air information. If the target vehicle is not speeding, it is determined whether the air circulation of the target vehicle is obstructed based on the in-vehicle air information.

[0119] When the terminal determines that the target vehicle is not speeding according to the speed information in the vehicle driving information, it means that the motion sickness of the target passenger is not a symptom caused by speeding, and the terminal determines whether the air circulation of the target vehicle is blocked according to the air information in the vehicle. Due to the closed space in the vehicle, there is a peculiar smell in the opening of the vehicle, and the target passenger may have motion sickness due to the pollution of the air in the vehicle. When the terminal determines that the air circulation of the target vehicle is blocked according to the air information in the vehicle, that is, the air is polluted, step 213 is executed.

[0120] 213. When the position information of the target passenger indicates that the target passenger is located in the back seat of the target vehicle, open two rear windows of the target vehicle.

[0121] When the terminal determines that the air circulation of the target vehicle is obstructed based on the in-vehicle air information, and determines that the position information of the target passenger indicates that the target passenger is located in the back seat of the target vehicle, the two rear windows of the target vehicle are opened to allow air to circulate.

[0122] 214. When the air circulation of the target vehicle is not obstructed, a seat adjustment request is sent to the target passenger.

[0123] When the terminal determines that the air in the target vehicle is not obstructed based on the in-vehicle air information, it means that the target passenger's motion sickness symptoms are not caused by air pollution. The terminal sends a seat adjustment request to the target passenger.

[0124] 215. Determine whether a confirmation adjustment instruction from the target passenger is received within a preset time.

[0125] The terminal determines whether a confirmation adjustment instruction from the target passenger is received within a preset time, and if so, executes step 216 .

[0126] 216. If yes, the seat is automatically adjusted according to the position information of the target passenger.

[0127] When the terminal receives the confirmation adjustment instruction from the target passenger within the preset time, it means that the target passenger needs to adjust the seat. The terminal automatically adjusts the seat according to the position information of the target passenger, so that the target passenger can get a rest.

[0128] 217. Search the Internet for motion sickness relief methods and broadcast them using the target vehicle's broadcast system.

[0129] The terminal can also actively query motion sickness relief methods through the Internet and use the broadcasting system of the target vehicle to broadcast the relief methods so that the target passengers can understand the relief methods.

[0130] In the embodiment of the present application, first, the vehicle passenger information is periodically obtained, the target passenger's riding video is obtained according to the target passenger's location information, the target passenger's physiological characteristics are generated according to the riding video, and the motion sickness characteristics are obtained from the motion sickness feature database. The motion sickness characteristics include motion sickness limb behavior characteristics, motion sickness facial characteristics and motion sickness physical sign data. The passenger limb behavior characteristics, passenger facial characteristics and passenger physical sign information in the physiological characteristics and the motion sickness limb behavior characteristics, motion sickness facial characteristics and motion sickness physical sign data are analyzed to generate analysis results, and the target passenger is judged whether motion sickness occurs according to the comparison results. If so, the vehicle driving information is obtained, and the vehicle driving information includes the acceleration information of the target vehicle. According to the acceleration information, it is judged whether the target vehicle has driving bumps. If so, a reminder to reduce driving bumps is sent to the driver. The vehicle driving information also includes vehicle speed information. If the target vehicle does not have driving bumps, it is judged whether the target vehicle is speeding according to the vehicle speed information. If the target vehicle is speeding, a reminder to reduce driving speed is sent to the driver. The vehicle driving information also includes in-vehicle air information. If the target vehicle does not have speeding, it is judged whether the air circulation of the target vehicle is blocked according to the in-vehicle air information. When the target passenger's location information indicates that the target passenger is located in the back seat of the target vehicle, open the two windows on the rear side of the target vehicle. When the air circulation of the target vehicle is not obstructed, send a seat adjustment request to the target passenger. Determine whether the target passenger's confirmation adjustment instruction is received within a preset time. If so, automatically adjust the seat according to the target passenger's location information. Query the motion sickness relief method through the Internet and use the target vehicle's broadcasting system to broadcast it. In the embodiment of the present application, the physiological characteristics of the target passenger are intelligently analyzed to determine whether the user has motion sickness characteristics. When the target passenger has motion sickness characteristics, the cause of motion sickness is detected for the vehicle, and the corresponding motion sickness relief operation is performed, thereby improving the degree of intelligence in alleviating the user's motion sickness.

[0131] Secondly, periodic detection can also be performed when motion sickness symptoms have already occurred and the terminal of the target vehicle has responded to the situation. At this time, it is still necessary to detect the physiological characteristics of the target passenger after a period of time to determine whether the motion sickness symptoms have been relieved or whether the motion sickness symptoms continue.

[0132] In addition, by using the data on motion sickness symptoms on mobile phones, the type of motion sickness of the target passengers can be better detected, increasing the accuracy of the judgment.

[0133] See also Figure 3 The present application provides an embodiment of a vehicle intelligent control device, comprising:

[0134] The first acquisition unit 301 is used to acquire the physiological characteristics of the target passenger.

[0135] The first judging unit 302 is used to judge whether the target passenger suffers from motion sickness according to the physiological characteristics.

[0136] The second acquisition unit 303 is used to acquire vehicle driving information when the first judgment unit determines that the target passenger suffers from motion sickness, and the vehicle driving information includes acceleration information of the target vehicle.

[0137] The second judgment unit 304 is used to judge whether the target vehicle has a bumpy ride according to the acceleration information.

[0138] The first prompting unit 305 is used to send a reminder to reduce the driving bumps to the driver when the second judgment unit determines that the target vehicle has driving bumps.

[0139] The first acquisition unit 301 acquires the physiological characteristics of the target passenger, and the first judgment unit 302 judges whether the target passenger has motion sickness based on the physiological characteristics. If the target passenger has motion sickness, the second acquisition unit 303 first acquires the vehicle driving information, and the vehicle driving information includes the acceleration information of the target vehicle. The second judgment unit 304 judges whether the target vehicle has driving bumps based on the acceleration information. If the target vehicle has driving bumps, the first prompt unit 305 sends a reminder to reduce driving bumps to the driver. In the embodiment of the present application, the physiological characteristics of the target passenger are intelligently analyzed to determine whether the user has motion sickness characteristics. When the target passenger has motion sickness characteristics, the cause of motion sickness is detected for the vehicle, and the corresponding motion sickness relief operation is performed, thereby improving the degree of intelligence in alleviating the user's motion sickness.

[0140] See also Figure 4 The present application provides an embodiment of a vehicle intelligent control device, comprising:

[0141] The first acquisition unit 401 is used to acquire the physiological characteristics of the target passenger.

[0142] Optionally, the first obtaining unit 401 is specifically:

[0143] The vehicle passenger information is periodically acquired, and the vehicle passenger information includes the position information of the target passenger on the target vehicle during driving.

[0144] Obtain the target passenger's riding video according to the target passenger's location information.

[0145] The physiological characteristics of the target passengers are obtained based on the riding video.

[0146] The first judging unit 402 is used to judge whether the target passenger suffers from motion sickness according to the physiological characteristics.

[0147] Optionally, the physiological characteristics include passenger body behavior characteristics, passenger facial features and passenger vital signs information.

[0148] The first judgment unit 402 is specifically:

[0149] The motion sickness features are obtained from the motion sickness feature database, where the motion sickness features include motion sickness limb behavior features, motion sickness facial features, and motion sickness physical sign data.

[0150] The passenger's limb behavior characteristics, passenger's facial characteristics and passenger's physical sign information in the physiological characteristics and the motion sickness limb behavior characteristics, motion sickness facial characteristics and motion sickness physical sign data are analyzed to generate an analysis result.

[0151] Whether the target passenger suffers from motion sickness is determined based on the comparison result.

[0152] The second acquisition unit 403 is used to acquire vehicle driving information when the first judgment unit determines that the target passenger suffers from motion sickness, and the vehicle driving information includes acceleration information of the target vehicle.

[0153] The second judgment unit 404 is used to judge whether the target vehicle has a bumpy ride according to the acceleration information.

[0154] The first prompting unit 405 is used to send a reminder to reduce the driving bumps to the driver when the second judging unit 404 determines that the target vehicle has driving bumps.

[0155] The third judgment unit 406, the vehicle driving information also includes vehicle speed information, which is used to judge whether the target vehicle is speeding according to the vehicle speed information when the second judgment unit 404 determines that the target vehicle does not have driving bumps.

[0156] The second prompting unit 407 is used to send a prompt to the driver to reduce the driving speed when the third judging unit 406 determines that the target vehicle is speeding.

[0157] The fourth judgment unit 408, the vehicle driving information also includes in-vehicle air information, which is used to judge whether the air circulation of the target vehicle is blocked according to the in-vehicle air information if the target vehicle is not speeding.

[0158] The opening unit 409 is used to open two rear windows of the target vehicle when the air circulation of the target vehicle is blocked and when the position information of the target passenger indicates that the target passenger is located in the back seat of the target vehicle.

[0159] The sending unit 410 is used to send a seat adjustment request to the target passenger when the air circulation of the target vehicle is not blocked.

[0160] The fifth determination unit 411 is used to determine whether a confirmation adjustment instruction from the target passenger is received within a preset time.

[0161] The adjustment unit 412 is used to automatically adjust the seat according to the position information of the target passenger when a confirmation adjustment instruction is received from the target passenger within a preset time.

[0162] The execution unit 413 is used to search for motion sickness relief methods through the Internet and broadcast them using the broadcasting system of the target vehicle.

[0163] In the embodiment of the present application, first, the first acquisition unit 401 periodically acquires vehicle passenger information, acquires a target passenger's riding video according to the target passenger's location information, generates and acquires the target passenger's physiological characteristics according to the riding video, acquires motion sickness characteristics from the motion sickness characteristic database, and the motion sickness characteristics include motion sickness limb behavior characteristics, motion sickness facial characteristics and motion sickness physical sign data, analyzes the passenger's limb behavior characteristics, passenger's facial characteristics and passenger's physical sign information and motion sickness limb behavior characteristics, motion sickness facial characteristics and motion sickness physical sign data in the physiological characteristics, generates an analysis result, and the first judgment unit 402 judges whether the target passenger has motion sickness according to the comparison result. If so, the second acquisition unit 403 acquires the vehicle driving information, and the vehicle driving information includes the acceleration information of the target vehicle. The second judgment unit 404 judges whether the target vehicle has driving bumps according to the acceleration information. If so, the first prompt unit 405 sends a reminder to reduce driving bumps to the driver. The vehicle driving information also includes vehicle speed information. If the target vehicle does not have driving bumps, the third judgment unit 406 judges whether the target vehicle is speeding according to the vehicle speed information. If the target vehicle is speeding, the second prompt unit 407 sends a reminder to reduce the driving speed to the driver. The vehicle driving information also includes in-vehicle air information. If the target vehicle does not have speeding, the fourth judgment unit 408 judges whether the air circulation of the target vehicle is blocked according to the in-vehicle air information. When the position information of the target passenger indicates that the target passenger is located in the back seat of the target vehicle, the opening unit 409 opens the two windows on the rear side of the target vehicle. When the air circulation of the target vehicle is not blocked, the sending unit 410 sends a seat adjustment request to the target passenger. The fifth judgment unit 411 judges whether the confirmation adjustment instruction of the target passenger is received within a preset time. If so, the adjustment unit 412 automatically adjusts the seat according to the position information of the target passenger. The execution unit 413 searches for motion sickness relief methods through the Internet and broadcasts them using the broadcasting system of the target vehicle. In the embodiment of the present application, the physiological characteristics of the target passenger are intelligently analyzed to determine whether the user has motion sickness symptoms. When the target passenger has motion sickness symptoms, the cause of motion sickness is detected for the vehicle and corresponding motion sickness relief operations are performed, thereby improving the intelligence level of alleviating the user's motion sickness.

[0164] Secondly, periodic detection can also be performed when motion sickness symptoms have already occurred and the terminal of the target vehicle has responded to the situation. At this time, it is still necessary to detect the physiological characteristics of the target passenger after a period of time to determine whether the motion sickness symptoms have been relieved or whether the motion sickness symptoms continue.

[0165] See also Figure 5 , the present application provides an electronic device, including:

[0166] Processor 501 , memory 502 , input / output unit 503 , and bus 504 .

[0167] The processor 501 is connected to the memory 502 , the input and output unit 503 , and the bus 504 .

[0168] The memory 501 stores a program, and the processor 501 calls the program to execute the following steps: Figure 1 to Figure 2-1 and Figure 2-2 Methods for intelligent vehicle control in vehicles.

[0169] The present application provides a computer-readable storage medium, on which a program is stored, and when the program is executed on a computer, the program performs the following steps: Figure 1 to Figure 2-1 and Figure 2-2 Methods for intelligent vehicle control in vehicles.

[0170] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0171] In the several embodiments provided in the present application, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be an indirect coupling or communication connection through some interfaces, devices or units, which can be electrical, mechanical or other forms.

[0172] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0173] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0174] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application is essentially or the part that contributes to the prior art or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including a number of instructions to enable a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present application. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, read-only memory), random access memory (RAM, random access memory), disk or optical disk and other media that can store program code.

Claims

1. A method for intelligent vehicle control, characterized in that: include: Periodically acquiring vehicle passenger information through a camera and an infrared camera, wherein the vehicle passenger information includes position information of a target passenger on the target vehicle during driving; Acquire a riding video of the target passenger according to the location information of the target passenger; Generating the physiological characteristics of the target passenger according to the riding video; determining whether the target passenger suffers from motion sickness according to the physiological characteristics; The physiological characteristics include passenger's body behavior characteristics, passenger's facial features and passenger's vital signs information; The determining whether the target passenger experiences motion sickness based on the physiological characteristics comprises: acquiring motion sickness characteristics from a motion sickness characteristic database, the motion sickness characteristics comprising motion sickness limb behavior characteristics, motion sickness facial characteristics, and motion sickness physical sign data; analyzing the passenger limb behavior characteristics, the passenger facial characteristics, and the passenger physical sign information in the physiological characteristics with the motion sickness limb behavior characteristics, the motion sickness facial characteristics, and the motion sickness physical sign data to generate an analysis result; and determining whether the target passenger experiences motion sickness based on the analysis result; If yes, then obtaining vehicle driving information, wherein the vehicle driving information includes acceleration information of the target vehicle; Determining whether the target vehicle has a bumpy ride according to the acceleration information; If so, a reminder to reduce driving bumps is sent to the driver; If the target vehicle does not have bumpy driving, determining whether the target vehicle is speeding according to the vehicle speed information; If the target vehicle is speeding, a reminder to reduce the speed is sent to the driver; The vehicle driving information also includes in-vehicle air information. If the target vehicle is not speeding, whether the air circulation of the target vehicle is blocked is determined according to the in-vehicle air information; When the air circulation of the target vehicle is blocked, opening the window of the target vehicle according to the position information of the target passenger; When air circulation of the target vehicle is not obstructed, sending a seat adjustment request to the target passenger; Determining whether a confirmation adjustment instruction of the target passenger is received within a preset time; If so, the seat is automatically adjusted according to the position information of the target passenger.

2. The method according to claim 1, characterized in that After determining that the target passenger suffers from motion sickness according to the analysis result, the method further includes: Motion sickness relief methods were searched on the Internet and announced using the PA system of the target vehicle.

3. A vehicle intelligent control device, characterized in that: include: A first acquisition unit, used to acquire physiological characteristics of a target passenger; The first acquisition unit is specifically: Periodically obtain vehicle passenger information, where the vehicle passenger information includes location information of target passengers on the target vehicle during driving; Obtaining a riding video of the target passenger according to the location information of the target passenger; Obtain the physiological characteristics of the target passenger based on the ride video; A first judging unit, configured to judge whether the target passenger suffers from motion sickness according to the physiological characteristics; Physiological characteristics include passenger limb behavior characteristics, passenger facial characteristics and passenger vital signs information. The first judgment unit is specifically: Acquire motion sickness features from a motion sickness feature database, where the motion sickness features include motion sickness limb behavior features, motion sickness facial features, and motion sickness physical sign data; Analyze the passenger's limb behavior characteristics, passenger's facial characteristics, and passenger's physical sign information in the physiological characteristics and the motion sickness limb behavior characteristics, motion sickness facial characteristics, and motion sickness physical sign data to generate an analysis result; Determine whether the target passenger suffers from motion sickness based on the analysis result; a second acquisition unit, configured to acquire vehicle driving information when the first judgment unit determines that the target passenger suffers from motion sickness, wherein the vehicle driving information includes acceleration information of the target vehicle; A second judgment unit, used for judging whether the target vehicle has a bumpy ride according to the acceleration information; a prompting unit, configured to send a reminder to the driver to reduce the driving bumps when the second judgment unit determines that the target vehicle has driving bumps; The vehicle driving information further includes vehicle speed information. The third judgment unit is used to judge whether the target vehicle is speeding according to the vehicle speed information when the target vehicle does not have driving bumps. The second prompting unit is used to send a prompt to the driver to reduce the speed when the target vehicle is speeding; The vehicle driving information further includes in-vehicle air information, and the fourth judgment unit is used to judge whether the air circulation of the target vehicle is blocked according to the in-vehicle air information when the target vehicle is not speeding; An opening unit, used for opening the window of the target vehicle according to the position information of the target passenger when the air circulation of the target vehicle is blocked; a sending unit, configured to send a seat adjustment request to a target passenger when air circulation of the target vehicle is not obstructed; A fifth determination unit, used to determine whether a confirmation adjustment instruction of the target passenger is received within a preset time; The adjustment unit is used to automatically adjust the seat according to the position information of the target passenger when receiving a confirmation adjustment instruction from the target passenger within a preset time.

4. An electronic device, characterized in that: include: Processor, memory, input-output unit, and bus; The processor is connected to the memory, the input and output unit, and the bus; The memory stores a program, and the processor calls the program to execute the vehicle intelligent control method as described in any one of claims 1 to 2.

5. A computer-readable storage medium having a program stored thereon, wherein the program, when executed on a computer, executes the vehicle intelligent control method according to any one of claims 1 to 2.

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