CN112308012A - Intelligent driving sitting posture prediction system based on cloud - Google Patents
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Abstract
The invention discloses an intelligent driving sitting posture prediction system based on a cloud end, which comprises a vehicle end system and a cloud end system, wherein the vehicle end system comprises a sitting posture adjustment actuator, a size recognition camera and a vehicle-mounted internet terminal, the cloud end system comprises a bottom database, an original data acquisition system, sitting posture adjustment data, size recognition data, a prediction algorithm model and driver sitting posture prediction, and the vehicle end system is mutually communicated with the cloud end system through the vehicle-mounted internet terminal. Compared with the prior art, the invention has the advantages that: the adjustable parts such as the automobile seat, the steering column, the inside and outside rearview mirror and the like can be automatically adjusted to the optimal positions according to the size of a human body.
Description
Technical Field
The invention relates to the technical field of automatic regulation of automobile driving sitting postures, in particular to an intelligent driving sitting posture prediction system based on a cloud.
Background
In order to accommodate drivers of different sizes, the seat position, steering wheel position, and interior and exterior mirror positions of an automobile are typically designed to be adjustable. The correct driving sitting posture of the driver has great significance for improving the driving safety and the driving comfort. Therefore, if a system is available, the function of automatically adjusting each adjustable part related to the driver to the most reasonable position according to the stature information and the vehicle size information of the driver can be realized, and the riding feeling and the safety of the driver are certainly greatly improved.
At present, in some existing technologies, the human sitting posture is determined according to a comparison table of the human size and the sitting posture, and the convenience and the accuracy of operation are all lacked.
Disclosure of Invention
The invention aims to solve the problems in the prior art, and further provides a cloud-based intelligent driving sitting posture prediction system of a system capable of automatically adjusting adjustable parts such as automobile seats, steering columns, inside and outside rearview mirrors to the optimal position according to the size of a human body.
The purpose of the invention is realized by the following technical scheme:
an intelligent driving sitting posture prediction system based on a cloud end comprises a vehicle end system and a cloud end system, wherein the vehicle end system comprises a sitting posture adjusting actuator, a size recognition camera and a vehicle-mounted internet terminal, the cloud end system comprises a bottom layer database, original data acquisition, sitting posture adjusting data, size recognition data, a prediction algorithm model and driver sitting posture prediction, the vehicle end system is communicated with the cloud end system through the vehicle-mounted internet terminal, the initial position of the driving sitting posture adjusting actuator, the size of a human body joint and the size of a human body characteristic are sent to the cloud end system, and data returned by the cloud end system are sent to the sitting posture adjusting actuator; the cloud system is responsible for receiving and processing data, firstly, a bottom database is established according to original collected data of a vehicle type, then a sitting posture prediction algorithm model is established by using a neural network, machine learning and regression analysis method, the sitting posture of a driver is predicted according to driver size recognition information given by the vehicle end system, the adjustment quantity of a sitting posture adjustment actuator is calculated, and then the information is returned to the vehicle-mounted internet terminal to be correspondingly adjusted by the sitting posture adjustment actuator; if the driver finely adjusts the position of the sitting posture adjustment actuator, the cloud system needs to receive the adjustment amount and optimize the driver sitting posture prediction algorithm model.
Furthermore, the sitting posture adjusting actuator comprises a seat position adjusting mechanism, a steering wheel position adjusting mechanism, an inside and outside rearview mirror position adjusting mechanism, an electric sliding armrest position adjusting mechanism and a head-up display position adjusting mechanism.
Furthermore, the size recognition camera comprises an in-vehicle size recognition camera, an out-vehicle size recognition camera and a vehicle-mounted processing terminal, the vehicle-mounted processing terminal recognizes the sizes and the characteristic positions of the human joints according to the images, and the in-vehicle size recognition camera is responsible for recording the positions of the joints and the human characteristics during normal driving and then sends the positions to the cloud system to optimize the driver sitting posture prediction model.
Further, the vehicle-mounted internet terminal transmits the human joint size, the characteristic size and the position parameter information of the sitting posture adjusting actuator calculated by the vehicle external size identification camera to the cloud system through the mobile network.
Furthermore, the sitting posture prediction algorithm model firstly needs to collect vehicle type original data, establish a MongoDB and MYSQL database, then perform data cleaning and data mining on the data through python, and then establish a K-means difference driving posture depth analysis model, a neural network driving sitting posture prediction model and a multiple regression vision field prediction model, so as to be integrated into a driver sitting posture prediction model.
Furthermore, the cloud system predicts the best sitting posture of the driver through a driver sitting posture prediction model according to the human joint size, the characteristic size and the sitting posture adjustment actuator position parameters sent by the vehicle-mounted internet terminal of the vehicle-end system and the built-in vehicle parameter information, converts the best sitting posture position of the driver into the adjustment quantity of the sitting posture adjustment actuator, and returns the data to the vehicle-mounted internet terminal, wherein the adjustment quantity comprises the adjustment quantity of each parameter of a seat position, a cushion position, a backrest position, a leg support position, a waist support position, a steering wheel position, an inside and outside rearview mirror position, a HUD position and an electric sliding armrest position.
Compared with the prior art, the invention has the advantages that:
the driving sitting posture is predicted more accurately as much as possible by utilizing a neural network and a deep learning technology. The sizes and the joint characteristic positions of all joints of the human body can be more accurately obtained through an image recognition technology. A large number of reference driver sitting posture parameters are stored in the cloud platform, and the driving sitting posture is accurately predicted through a neural network model based on the relation between the sizes of human body joints and the driving sitting posture. And if the driver finely tunes the sitting posture, the fine tuning data is returned to the cloud system to update the algorithm model, so that the accuracy of prediction is further improved, and the perception quality of the client is improved.
Drawings
FIG. 1 is a schematic diagram of the system of the present invention.
Fig. 2 is a flow chart of the present invention.
Detailed Description
As shown in connection with fig. 1-2. When the invention is implemented in detail, the sitting posture adjusting actuator 1 mainly has two functions, provides the initial positions of the parts influencing the driving sitting posture, and adjusts the positions of the parts to the optimal positions according to the data returned by the cloud system. Generally, the sitting posture adjusting actuator includes, at most, a seat position adjusting mechanism, a steering wheel position adjusting mechanism, an inside and outside rearview mirror position adjusting mechanism, an electric slide armrest position adjusting mechanism, a head up display position adjusting mechanism, and the like according to the vehicle type configuration. The size recognition camera comprises an in-car camera, an out-car camera and a processing terminal thereof. The vehicle-mounted camera is used for recording images and transmitting data to the vehicle-mounted processing terminal when a driver approaches to a vehicle with a key, and the vehicle-mounted processing terminal is used for identifying the size of a human body joint and the position of human body characteristics according to the images. The camera in the vehicle is used for recording the positions of all joints and human body characteristics during normal driving and then sending the positions to the cloud system to optimize the driver sitting posture prediction model. The vehicle-mounted internet terminal is responsible for mutual communication between the automobile and the cloud system, generally comprises the steps of sending the initial position of the driving sitting posture adjusting actuator, the size of a human body joint and the size of a human body characteristic to the cloud system, and sending data returned by the cloud system to the sitting posture adjusting actuator. The cloud system is responsible for receiving and processing data. Firstly, a bottom layer database is established according to original collected data of a vehicle type, then a sitting posture prediction algorithm model is established by using methods such as a neural network, machine learning and regression analysis, the sitting posture of a driver is predicted according to driver size recognition information given by a vehicle end system, the adjustment quantity of a sitting posture adjustment actuator is calculated, and the sitting posture adjustment actuator returns to a vehicle-mounted internet terminal. If the driver finely adjusts the position of the sitting posture adjustment actuator, the cloud system needs to receive the adjustment amount and optimize the driver sitting posture prediction algorithm model.
The operation is described below with reference to specific structures:
1: the sitting posture adjusting actuator identifies the position parameters of the sitting posture adjusting actuator and transmits the data to the vehicle-mounted internet terminal.
2: when a driver carries a vehicle key to approach the driving side of the vehicle, the vehicle external dimension identification camera identifies the driver, automatically calculates the dimensions of the human body joint and the characteristic dimension, and transmits data to the vehicle-mounted internet terminal.
3: and the vehicle-mounted internet terminal transmits information such as the sizes and the characteristic sizes of human joints calculated by the vehicle-mounted size recognition camera, the position parameters of the sitting posture adjustment actuator and the like to the cloud system through the mobile network.
4: and a sitting posture prediction model preset by the cloud system. Firstly, acquiring vehicle model original data, establishing a MongoDB and MYSQL database, cleaning the data through python, mining the data, establishing a K-means difference driving posture depth analysis model, a neural network driving sitting posture prediction model and a multiple regression vision prediction model, and integrating the models into a driver sitting posture prediction model.
5: the cloud system predicts the optimal sitting posture of a driver through a driver sitting posture prediction model according to the human joint size, the characteristic size and the sitting posture adjustment actuator position parameter sent by a vehicle-mounted internet terminal of a vehicle-end system and the built-in vehicle parameter information, converts the optimal sitting posture position of the driver into the adjustment quantity of the sitting posture adjustment actuator, generally comprises the adjustment quantities of parameters such as a seat position (a cushion position, a backrest position, a leg support position and a waist support position) steering wheel position, an inside and outside rearview mirror position, a HUD position and an electric sliding armrest position, and returns data to the vehicle-mounted internet terminal.
6: and the vehicle-mounted internet terminal receives the related position parameter adjustment quantity of the optimal sitting posture of the driver returned by the cloud system, and returns the information to the sitting posture adjustment actuator for corresponding adjustment.
7: after a driver enters the vehicle and starts to drive the vehicle, the in-vehicle size recognition camera recognizes various body characteristic position parameters (joint positions, eye positions and the like) of the driver and transmits data to the vehicle-mounted internet terminal, and if the driver finely adjusts the sitting posture adjustment actuator, the fine adjustment amount is also transmitted back to the vehicle-mounted internet terminal.
8: and the vehicle-mounted internet terminal sends the body characteristic position parameters of the driver and the sitting posture fine adjustment amount (if the body characteristic position parameters and the sitting posture fine adjustment amount exist) identified by the in-vehicle identification camera to the cloud system through the mobile network.
9: the cloud system optimizes the driving sitting posture prediction model through the body characteristic parameters of the driver and the sitting posture fine adjustment amount so as to ensure that the subsequent prediction result is more accurate.
Claims (6)
1. An intelligent driving sitting posture prediction system based on a cloud end comprises a vehicle end system and a cloud end system, and is characterized in that the vehicle end system comprises a sitting posture adjustment actuator, a size recognition camera and a vehicle-mounted internet terminal, the cloud end system comprises a bottom database, original data acquisition, sitting posture adjustment data, size recognition data, a prediction algorithm model and driver sitting posture prediction, the vehicle end system is communicated with the cloud end system through the vehicle-mounted internet terminal, the initial position of the driving sitting posture adjustment actuator, the size of a human body joint and the size of a human body characteristic are sent to the cloud end system, and data returned by the cloud end system are sent to the sitting posture adjustment actuator; the cloud system is responsible for receiving and processing data, firstly, a bottom database is established according to original collected data of a vehicle type, then a sitting posture prediction algorithm model is established by using a neural network, machine learning and regression analysis method, the sitting posture of a driver is predicted according to driver size recognition information given by the vehicle end system, the adjustment quantity of a sitting posture adjustment actuator is calculated, and then the information is returned to the vehicle-mounted internet terminal to be correspondingly adjusted by the sitting posture adjustment actuator; if the driver finely adjusts the position of the sitting posture adjustment actuator, the cloud system needs to receive the adjustment amount and optimize the driver sitting posture prediction algorithm model.
2. The cloud-based intelligent driving sitting posture prediction system of claim 1, wherein the sitting posture adjustment actuator comprises a seat position adjustment mechanism, a steering wheel position adjustment mechanism, an inside and outside rearview mirror position adjustment mechanism, an electric sliding armrest position adjustment mechanism, and a heads-up display position adjustment mechanism.
3. The cloud-based intelligent driving sitting posture prediction system according to claim 1, wherein the size recognition camera comprises an in-vehicle size recognition camera, an out-vehicle size recognition camera and a vehicle-mounted processing terminal, the vehicle-mounted processing terminal recognizes sizes of human joints and positions of human body characteristics according to images, and the in-vehicle size recognition camera is responsible for recording positions of each joint and human body characteristics during normal driving and then sends the positions to the cloud system to optimize the driver sitting posture prediction model.
4. The cloud-based intelligent driving sitting posture prediction system of claim 3, wherein the vehicle-mounted internet terminal transmits the human joint size, the characteristic size and the sitting posture adjustment actuator position parameter information calculated by the vehicle external size recognition camera to the cloud system through a mobile network.
5. The cloud-based intelligent driving sitting posture prediction system of claim 1, wherein the sitting posture prediction algorithm model first needs to collect vehicle model original data, establish a Mongo DB and MYSQL database, then perform data cleaning and data mining on the data through python, and then establish a K-means difference driving posture depth analysis model, a neural network driving sitting posture prediction model and a multiple regression vision prediction model, and further integrate into a driver sitting posture prediction model.
6. The cloud-based intelligent driving sitting posture prediction system according to claim 4 or 5, characterized in that the cloud system predicts the optimal driver sitting posture through a driver sitting posture prediction model according to human joint size, characteristic size, sitting posture adjustment actuator position parameters sent by a vehicle-mounted internet terminal of a vehicle-end system and vehicle parameter information built in the cloud system, converts the optimal driver sitting posture position into adjustment quantities of a sitting posture adjustment actuator, including adjustment quantities of parameters of a seat position, a cushion position, a backrest position, a leg rest position, a waist rest position, a steering wheel position, an inside and outside rearview mirror position, a HUD position and an electric sliding armrest position, and returns data to the vehicle-mounted internet terminal.
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113139474A (en) * | 2021-04-26 | 2021-07-20 | 中汽研软件测评(天津)有限公司 | Automobile cabin intelligent adaptive model algorithm under biological recognition technology and data driving |
| CN113190802A (en) * | 2021-05-31 | 2021-07-30 | 北京乐驾科技有限公司 | Automatic adjusting method and device for vehicle-mounted HUD virtual image height and electronic equipment |
| CN113221071A (en) * | 2021-05-31 | 2021-08-06 | 北京乐驾科技有限公司 | Automatic adjusting method and device for vehicle-mounted HUD virtual image height and electronic equipment |
| CN115240231A (en) * | 2022-09-22 | 2022-10-25 | 珠海翔翼航空技术有限公司 | Image recognition-based sitting posture detection and adjustment method for full-motion simulator |
-
2020
- 2020-11-13 CN CN202011271504.9A patent/CN112308012A/en not_active Withdrawn
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113139474A (en) * | 2021-04-26 | 2021-07-20 | 中汽研软件测评(天津)有限公司 | Automobile cabin intelligent adaptive model algorithm under biological recognition technology and data driving |
| CN113190802A (en) * | 2021-05-31 | 2021-07-30 | 北京乐驾科技有限公司 | Automatic adjusting method and device for vehicle-mounted HUD virtual image height and electronic equipment |
| CN113221071A (en) * | 2021-05-31 | 2021-08-06 | 北京乐驾科技有限公司 | Automatic adjusting method and device for vehicle-mounted HUD virtual image height and electronic equipment |
| CN115240231A (en) * | 2022-09-22 | 2022-10-25 | 珠海翔翼航空技术有限公司 | Image recognition-based sitting posture detection and adjustment method for full-motion simulator |
| CN115240231B (en) * | 2022-09-22 | 2022-12-06 | 珠海翔翼航空技术有限公司 | Image recognition-based sitting posture detection and adjustment method for full-motion simulator |
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Application publication date: 20210202 |