CN114714995A - Vehicle cabin matching and adjusting method based on human body parametric model - Google Patents
Vehicle cabin matching and adjusting method based on human body parametric model Download PDFInfo
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- 230000036544 posture Effects 0.000 description 26
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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
- B60N2/0244—Non-manual adjustments, e.g. with electrical operation with logic circuits
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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
- B60N2/0244—Non-manual adjustments, e.g. with electrical operation with logic circuits
- B60N2/0268—Non-manual adjustments, e.g. with electrical operation with logic circuits using sensors or detectors for adapting the seat or seat part, e.g. to the position of an occupant
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
- Y02T10/00—Road transport of goods or passengers
- Y02T10/10—Internal combustion engine [ICE] based vehicles
- Y02T10/40—Engine management systems
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Abstract
The invention relates to a vehicle cabin matching and adjusting method based on a human body parameterized model. The method comprises the steps of S1, acquiring a parameter set of a driver; s2, judging whether the similarity between the parameter set of the driver and the existing parameter set of the driver exceeds a threshold value, if so, updating the existing parameter set of the driver, and if not, adding a new driver and the parameter set thereof; s3, calculating vehicle cabin adjusting parameters; s4, judging whether the correction parameters exist, if so, adjusting the vehicle cabin according to the adjustment parameters and the correction parameters, and if not, adjusting the vehicle cabin according to the adjustment parameters; s5, judging whether the driver is satisfied, if not, updating the correction parameters according to the manual adjustment of the driver; and S6, ending. The invention provides a vehicle cabin matching and adjusting method based on a human body parameterized model, which can optimally adjust a vehicle cabin and improve the comfort and safety of vehicle driving through the human body parameterized model.
Description
Technical Field
The invention relates to the technical field of vehicle computer aided engineering design, in particular to a vehicle cabin matching and adjusting method based on a human body parameterized model.
Background
With the transformation of automobiles from traditional vehicles to intelligent travel equipment, various functions of the automobiles are also transformed into more humanized and scientific. The adjustment effect on the driver seat can influence the riding comfort of the driver, and further directly influence the fatigue degree of the driver and the like. Adjustment to the optimal seat position also ensures the safety of the driver in driving the vehicle. Since drivers often change when using home cars and companies, the requirements for the vehicle seat and steering wheel are different for each driver due to their different ages, sizes and driving habits, and therefore different drivers need to readjust the seat position and the steering wheel position. In addition, conventional seats require manual adjustment in each direction, and occupants often lack knowledge of how to adjust to the correct sitting position.
Disclosure of Invention
Aiming at the problems in the prior art, the invention provides a vehicle cabin matching and adjusting method based on a human body parameterized model, which can optimally adjust a vehicle cabin and improve the comfort and safety of vehicle driving.
Specifically, the invention provides a vehicle cabin matching and adjusting method of a seat cushion based on a human parametric model, which comprises the following steps:
s1, acquiring a parameter set of the driver, wherein the parameter set at least comprises human body shape parameters and posture parameters;
s2, judging whether the similarity between the parameter set of the driver and the existing parameter set of the driver exceeds a threshold value, if so, updating the existing parameter set of the driver, and if not, adding a new driver and the parameter set thereof;
s3, calculating the vehicle cabin adjusting parameters according to the updated parameter set or the new parameter set;
s4, judging whether a correction parameter exists, if so, adjusting the vehicle cabin according to the adjusting parameter and the correction parameter, and if not, adjusting the vehicle cabin according to the adjusting parameter;
s5, judging whether the driver is satisfied, if not, updating the correction parameters according to the manual adjustment of the driver;
and S6, ending.
According to one embodiment of the present invention, in step S2, the similarity between the human body shape parameter β 1 in the driver 'S parameter set and the standard shape parameter β 0 in the existing driver' S parameter set is compared, and if yes, the existing driver 'S parameter set is updated according to the driver' S parameter set.
According to one embodiment of the invention, the step of updating the existing parameter set of the driver according to the parameter set of the driver comprises the following steps:
and optimizing the standard shape parameter beta 0 in a fitting and incremental mode.
According to one embodiment of the invention, the vehicle cabin conditioning parameters are calculated in step S3, comprising the steps of:
s31, importing the parameter set as input into a trained human body parameterized model to generate an individual model M1 of the driver; predefining a standard sitting posture parameter theta 0;
s32, obtaining an adjustable domain, wherein the adjustable domain comprises the contact surfaces of a seat and a steering wheel in a vehicle cabin with a human body in the adjusting range of the adjustable domain;
s33, calculating a sitting posture human model, inputting a standard sitting posture parameter theta 0 into the individual model M1, adjusting in the adjustable domain, and simulating to obtain a sitting posture parameter theta 2 and a corresponding individual model M2;
s34, adjusting parameters of the vehicle cabin are calculated based on the individual model M2.
According to an embodiment of the invention, the parameterized human body model is defined as:
wherein, the first and the second end of the pipe are connected with each other,
is a shape parameter;
is an attitude parameter;
a set needing training is selected; w is an LBS function; t isPThe vertex set is subjected to parameter correction; j is the joint position;
is a set of vertices;
is a shape displacement matrix;
is a shape displacement matrix;
is a transformation matrix from the static position vertex to the joint point;
is the mixing weight.
According to one embodiment of the invention, the standard sitting posture comprises the position relation of all parts of the body, and the standard sitting posture parameter θ 0 comprises that the included angle between the upper half body and the vertical plane is 20 degrees, the included angle between the thigh and the horizontal plane is 15 degrees, the included angle between the thigh and the shank is 120 degrees, the included angle between the head and the vertical plane is 0 degree, the included angle between the big arm and the upper half body is 30 degrees, and the included angle between the small arm and the horizontal plane is 15 degrees.
According to one embodiment of the invention, the set of parameters of the driver is obtained by data input or image recognition.
According to one embodiment of the invention, image recognition comprises:
acquiring point cloud data of a driver by using a recognition device containing depth information;
performing point cloud segmentation on the point cloud data based on a point cloud deep learning method, and stripping out the human body point cloud independently;
and acquiring a parameter set of the driver based on the human body point cloud.
According to one embodiment of the invention, the cockpit modulation parameters include the position of the seat and steering wheel matching the set of parameters, denoted as cockpit modulation parameters P (Zs, Xs, Xf, AYb, Zh, Xw, Xsw, AYsw), where Zs denotes the seat high-low position; xs represents the seat front-rear position; xf represents the cushion height; AYb for seat back angle; zh represents the headrest height position; xw represents the lumbar support position; xsw indicates the front and rear steering wheel position; AYsw denotes the steering wheel up-down angle.
According to an embodiment of the invention, the correction parameter is used to correct the cabin conditioning parameter, expressed as a cabin correction parameter D (Δ Zs, Δ Xs, Δ Xf, Δ AYb, Δ Zh, Δ Xw, Δ Xsw, Δ AYsw), where Δ Zs represents seat high and low displacement; Δ Xs represents seat fore-aft displacement; Δ Xf represents cushion height displacement; Δ AYb represents the seat back angle change; Δ Zh represents the headrest height displacement; Δ Xw represents the lumbar support displacement; Δ Xsw steering wheel fore and aft displacement; delta AYsw steering wheel up-down angle.
According to the vehicle cabin matching and adjusting method based on the human body parameterized model, the vehicle cabin can be optimally adjusted through the human body parameterized model, and the comfort and safety of vehicle driving are improved.
It is to be understood that both the foregoing general description and the following detailed description of the present invention are exemplary and explanatory and are intended to provide further explanation of the invention as claimed.
Drawings
The accompanying drawings, which are included to provide a further explanation of the invention and are incorporated in and constitute a part of this application, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention. In the drawings:
fig. 1 shows a flow chart of a vehicle cabin matching and adjusting method based on an anthropometric parameterized model according to an embodiment of the invention.
Fig. 2 shows a schematic representation of different body shape models.
Fig. 3 shows a schematic view of different body pose models.
Figure 4 shows a schematic diagram of a standard sitting posture of one embodiment of the present invention.
FIG. 5 shows a schematic diagram of an adjustable domain of one embodiment of the present invention.
FIG. 6 shows a schematic view of a seat adjustable domain of one embodiment of the present invention.
FIG. 7 is a schematic diagram of a simulated human body model adjusted in the adjustable domain according to an embodiment of the present invention.
Detailed Description
It should be noted that the embodiments and features of the embodiments in the present application may be combined with each other without conflict.
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application. It is to be understood that the embodiments described are only a few embodiments of the present application and not all embodiments. The following description of at least one exemplary embodiment is merely illustrative in nature and is in no way intended to limit the application, its application, or uses. 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 application.
It is noted that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of example embodiments according to the present application. As used herein, the singular forms "a", "an" and "the" are intended to include the plural forms as well, and it should be understood that when the terms "comprises" and/or "comprising" are used in this specification, they specify the presence of stated features, steps, operations, devices, components, and/or combinations thereof, unless the context clearly indicates otherwise.
The relative arrangement of the components and steps, the numerical expressions, and numerical values set forth in these embodiments do not limit the scope of the present application unless specifically stated otherwise. Meanwhile, it should be understood that the sizes of the respective portions shown in the drawings are not drawn in an actual proportional relationship for the convenience of description. Techniques, methods, and apparatus known to those of ordinary skill in the relevant art may not be discussed in detail but are intended to be part of the specification where appropriate. In all examples shown and discussed herein, any particular value should be construed as merely illustrative, and not limiting. Thus, other examples of the exemplary embodiments may have different values. It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, further discussion thereof is not required in subsequent figures.
In the description of the present application, it is to be understood that the directions or positional relationships indicated by the directional terms such as "front, rear, upper, lower, left, right", "lateral, vertical, horizontal" and "top, bottom", etc., are generally based on the directions or positional relationships shown in the drawings, and are for convenience of description and simplicity of description only, and in the case of not making a reverse description, these directional terms do not indicate and imply that the device or element being referred to must have a particular orientation or be constructed and operated in a particular orientation, and therefore should not be construed as limiting the scope of the present application; the terms "inner and outer" refer to the inner and outer relative to the profile of the respective component itself.
It should be noted that the terms "first", "second", and the like are used to define the components, and are only used for convenience of distinguishing the corresponding components, and the terms have no special meanings unless otherwise stated, and therefore, the scope of protection of the present application is not to be construed as being limited. Further, although the terms used in the present application are selected from publicly known and used terms, some of the terms mentioned in the specification of the present application may be selected by the applicant at his or her discretion, the detailed meanings of which are described in relevant parts of the description herein. Further, it is required that the present application is understood, not simply by the actual terms used but by the meaning of each term lying within.
Fig. 1 shows a flow chart of a vehicle cabin matching and adjusting method based on an anthropometric parameterized model according to an embodiment of the invention. As shown in the figure, the invention provides a vehicle cabin matching and adjusting method based on a human body parameterized model. The adjusting method comprises the following steps:
and S1, acquiring a parameter set of the driver. The parameter set includes at least a body shape parameter and a pose parameter. Fig. 2 shows a schematic view of different body shape models, with different body shapes being tall, fat, etc. The body shape parameters are used to describe different body shapes. Fig. 3 shows schematic diagrams of different body posture models, with different body postures such as waist-crossing, leg-raising, hand-raising, body-bending, and the like, and posture parameters are used for describing the different body postures.
And S2, judging whether the similarity between the parameter set of the driver and the existing parameter set of the driver exceeds a threshold value. If so, updating the existing parameter set of the driver; and if not, adding a new driver and a parameter set thereof. An existing driver refers to a plurality of drivers (P1, P2 …) in the data record, each driver having a corresponding set of parameters. Since present home cars often have two or more drivers, each driver having a respective set of parameters. When the similarity exceeds the threshold, the same person is judged, i.e., one of the existing drivers is determined. Due to the fact that the body type changes, or dressing changes generated according to weather changes and personal subjective postures exist, the parameter set of the existing driver needs to be updated. If the similarity does not exceed the threshold, judging that the driver is a new driver, and recording the new driver and the corresponding parameter set.
And S3, calculating the vehicle cabin adjusting parameters according to the updated parameter set or the new parameter set.
And S4, judging whether the correction parameters exist, if so, adjusting the vehicle cabin according to the adjusting parameters and the correction parameters, and if not, adjusting the vehicle cabin according to the adjusting parameters.
And S5, judging whether the driver is satisfied, and if not, updating the correction parameters according to manual adjustment of the driver. As will be readily appreciated, the correction parameters are associated with a particular driver.
And S6, ending.
Preferably, in step S2, the similarity between the human body shape parameter β 1 in the driver 'S parameter set and the standard shape parameter β 0 in the existing driver' S parameter set is compared, and if yes, the existing driver 'S parameter set is updated according to the driver' S parameter set. Preferably, the step of updating the existing driver parameter set according to the driver parameter set comprises: and optimizing the standard shape parameter beta 0 in a fitting and incremental mode.
Preferably, in step S3, vehicle cabin conditioning parameters are calculated, comprising the steps of:
s31, using the parameter set as input, importing a trained human body parameterized model containing bones and skins, and generating an individual model M1 of the driver. A standard sitting posture parameter θ 0 is predefined. Figure 4 shows a schematic diagram of a standard sitting posture of one embodiment of the present invention. As shown in the figure, an initial standard sitting posture parameter θ 0 including the angle between each part of the human body and the standard surface and the angle between each part needs to be predefined based on ergonomics. Wherein the included angle alpha 1 between the upper half body of the human body and the vertical plane is 20 degrees, the included angle alpha 2 between the thigh of the human body and the horizontal plane is 15 degrees, the included angle between the thigh and the shank is 120 degrees, the head is vertical, the included angle between the upper arm and the upper half body is 30 degrees, and the included angle between the forearm and the horizontal plane is 15 degrees.
And S32, obtaining an adjustable domain, wherein the adjustable domain comprises the contact surfaces of the seat and the steering wheel in the vehicle cabin and the human body in the adjusting range of the adjustable domain. FIG. 5 shows a schematic diagram of an adjustable domain of one embodiment of the present invention. The adjustable field includes the interface of the human body with the seat 501 and the interface of the human hand with the steering wheel 502. The range covered by the contour 503 and the contour 504 respectively represent the adjustable fields of the seat 501 and the steering wheel 502, and the seat 501 and the steering wheel 502 have corresponding positions with the adjustable fields. FIG. 6 shows a schematic view of a seat adjustable domain of one embodiment of the present invention. Conventionally, the possible interfaces of the seat with the human body include a headrest, a backrest, and a cushion. The seat adjustable domain acquisition method comprises the following steps:
t1: adjusting the seat to the frontmost position and the highest position, enabling the cushion to the highest position, the waist support to the frontmost position, the headrest to the highest position and the backrest angle to be the smallest, and taking the possible contact surface (shown as part A in figure 6) of the seat and the human body at the moment as a part of the boundary of the adjustable area of the seat.
T2: the backrest of the seat is adjusted to enable the headrest to be located at the highest point position, and the maximum area covered by the seat in the subsequent moving process is ensured. The trace of the headrest top sweep (top dashed line shown in detail B in fig. 6) is taken as part of the boundary of the seat adjustability domain.
T3: the seat is adjusted along the last-then-lowest, first-lowest-then-last two paths, respectively, taking the trace swept by the top of the headrest and the front of the cushion (lower left and upper right dashed lines shown in detail C in fig. 6) as part of the boundary of the adjustable domain of the seat.
T4: the seat back is rotated to the final position, taking the trace of the sweep of the top of the headrest (the rightmost dashed line shown in detail D in fig. 6) as part of the boundary of the seat adjustability field.
T5: the area (solid line shown in fig. 6, part E) surrounded by the possible contact surface of the seat with the human body and the boundary portions obtained in the previous four steps is taken as the complete seat adjustable area.
For more complex chairs, including for example waist rests, leg rests, etc., the additional field of adjustability provided by these functions needs to be taken into account.
The adjustable area of the steering wheel is the area surrounded by the adjustable ranges of the steering wheel in the front-back direction and the up-down direction. The method for acquiring the adjustable domain of the steering wheel can refer to the aforementioned method for acquiring the adjustable domain of the seat, and is not described in detail herein.
And S33, calculating a sitting posture human model, inputting the standard sitting posture parameter theta 0 into the individual model M1, adjusting the standard sitting posture parameter theta 0 in the obtained adjustable domain, and simulating to obtain a sitting posture parameter theta 2 and a corresponding individual model M2. FIG. 7 is a schematic diagram of a simulated human body model adjusted in the adjustable domain according to an embodiment of the present invention. As shown, a predefined standard sitting posture parameter θ 0 is input into the parameterized mannequin M1, with the start point being the placement of the foot 701 of the mannequin on the pedal 702, the palm 703 and the contour line 706 from the back of the knee 704 to the back of the head 705 of the mannequin as boundary constraints within the adjustable domain. Because the human body model M0 obtained by theta 0 calculation may not meet the defined boundary constraint, at this time, the posture parameters need to be adjusted, and in the adjustable domain, the adjustment ranges are arranged from low to high according to the priority, and include the included angle between the upper half and the vertical plane, the adjustment range of 15-30 degrees, the included angle between the thigh and the horizontal plane, the adjustment range of 10-20 degrees, the included angle between the thigh and the shank, the adjustment range of 105-135 degrees, the included angle between the forearm and the upper half, about 30 degrees, the included angle between the forearm and the horizontal plane, and the adjustment range of 0-30 degrees. And (4) performing iterative calculation, and simulating to obtain a sitting posture parameter theta 2 in a final state and a corresponding human body model M2.
S34, adjusting parameters of the vehicle cabin are calculated based on the individual model M2, i.e. corresponding matching seat positions and steering wheel positions are obtained.
Preferably, the parameterized human body model is defined as:
wherein the content of the first and second substances,
is a shape parameter;
is an attitude parameter;
a set needing training is selected; w is LBS (Linear Blend skinning) function; t is a unit ofPThe vertex set is subjected to parameter correction; j is the joint position;
is a set of vertices;
is a shape displacement matrix;
is a shape displacement matrix;
is a transformation matrix from the static position vertex to the joint point;
is the mixing weight.
If the skin is simply mapped to the skeleton, the epidermis of the human body may be distorted when large bending, twisting, etc. motions occur. By pair shape
And posture
Respectively training to obtain a set of fixed parameters for correctly reflecting the deformation of human soft tissues when the shape and the posture of the human body are changed, so that the deformation of the skin is more real. By varying shape and attitude
To create a body-specific character model.
Preferably, in step S1, the set of parameters of the driver is obtained by data input or image recognition. The data input content comprises simplified shape parameters of chest circumference, waist circumference, hip circumference, thigh circumference, height, sex and the like of the human body. In this case, the detailed shape parameters are obtained by converting the input data by a standard human body scale. Preferably, the image recognition comprises the following steps:
point cloud data of a driver is acquired using a recognition device containing depth information. The recognition device may be RGB-D (structured light, TOF), ultrasonic radar or a common binocular camera.
Then, point cloud data are subjected to point cloud segmentation based on a point cloud deep learning method (such as PointNet, PointNet + +, PointCNN), and human body point clouds are separated out independently;
and finally, acquiring a parameter set of the driver based on the human body point cloud.
Preferably, the cabin conditioning parameters include the position of the seat and steering wheel matching the set of parameters, denoted as cabin conditioning parameters P (Zs, Xs, Xf, AYb, Zh, Xw, Xsw, AYsw), where Zs denotes the seat high-low position; xs represents the seat front-rear position; xf represents the cushion height; AYb denotes the seat back angle; zh represents the headrest height position; xw represents the lumbar support position; xsw indicates the front-rear steering wheel position; AYsw denotes the steering wheel up-down angle.
Preferably, the correction parameter is used to correct the cabin conditioning parameter, expressed as a cabin correction parameter D (Δ Zs, Δ Xs, Δ Xf, Δ AYb, Δ Zh, Δ Xw, Δ Xsw, Δ AYsw), where Δ Zs represents the seat height displacement; Δ Xs represents seat fore-aft displacement; Δ Xf represents cushion height displacement; Δ AYb represents the seat back angle change; Δ Zh represents the headrest height displacement; Δ Xw represents the lumbar support displacement; Δ Xsw steering wheel fore and aft displacement; delta AYsw steering wheel up-down angle. As will be readily appreciated, the correction parameters are used to record the results of a particular driver manual adjustment, with each variable of the correction parameter D corresponding to a variable in the adjustment parameter P. Preferably, the height displacement delta Zs of the seat is kept within the range of +/-10 mm; the front and back displacement of the seat is delta Xs, and the retention range is +/-15 mm; the height displacement delta Xf of the cushion is kept within the range of +/-5 mm; the change of the angle of the seat back is delta AYb, and the reserved range is +/-2 degrees; the height displacement of the headrest is delta Zh, and the retention range is +/-5 mm; the waist support displacement delta Xw is within the retention range of +/-5 mm; the front and back displacement of the steering wheel is delta Xsw, and the retention range is +/-5 mm; the vertical angle delta AYsw of the steering wheel, and the retention range is +/-5 mm. It should be noted that, if each variable of the correction parameter D is within the retention range, the correction parameter D is automatically retained; if the variables are beyond the reserved range, the current driver determines whether to reserve.
The invention also can provide a vehicle cabin matching and adjusting system, which is used for adjusting the positions of a seat and a steering wheel by applying the vehicle cabin matching and adjusting method and realizing the matching of different drivers.
The database in the vehicle cabin matching and adjusting system stores the existing parameter set of the driver. When a driver approaches or enters the vehicle, the system captures the current driver's set of parameters and compares them to the existing driver's set of parameters. And when the similarity exceeds the threshold value T, judging the driver as the same person, recording the parameter set of the current driver, and bringing the parameter set into the database corresponding to the parameter set of the driver. And (3) optimizing the data of the same driver in the database by fitting, increment and the like to obtain the standard shape parameter beta 0 corrected by the driver, thereby realizing the update of the parameter set. If the threshold is not reached, it is considered as a new driver, and a new driver is added to the database of the system, and the parameter set is recorded and used as the standard shape parameter β 0 for that driver.
Next, the vehicle cabin conditioning parameters P are calculated from the updated parameter set or the recorded new parameter set. The cabin correction parameter D is present if the driver has made manual adjustments to the seat and steering wheel during the previous operation. If the variables of the adjusted correction parameter D are within the reserved range, the correction parameter D will be automatically stored in the system, and if the variables of the adjusted correction parameter D are outside the reserved range, the driver can select whether to reserve the variables.
If the correction parameter D exists, the position finally matched by the driver is P ═ adjustment parameter P + adjustment parameter D; if no correction parameter D is available, the position that the driver finally matches is the adjustment parameter P.
The vehicle cabin match adjustment system sends adjustment commands to various motors in the vehicle that adjust the seat and steering wheel to a final matched position. If the current driver is not satisfied, the adjustment data can be recorded into the correction parameter D for the next use by manual adjustment.
The vehicle cabin matching and adjusting method based on the human body parameterized model introduces the human body parameterized model in the animation production field, and the model can accurately output the outer surface grid of the character in the specified posture by inputting the human bodies with different postures and body types. With the use of the anthropometric model, the positions of the seat and the steering wheel can be optimally adjusted in the specified adjustable domain according to ergonomic requirements. Meanwhile, a driver database is established, the change of the body type of the driver is fed back, the accuracy of each time of adjustment of the vehicle cabin is ensured, and the comfort and the safety of vehicle driving are further improved.
It will be apparent to those skilled in the art that various modifications and variations can be made to the above-described exemplary embodiments of the present invention without departing from the spirit and scope of the invention. Thus, it is intended that the present invention cover the modifications and variations of this invention provided they come within the scope of the appended claims and their equivalents.
Claims (10)
1. A vehicle cabin matching and adjusting method based on a human body parameterized model comprises the following steps:
s1, acquiring a parameter set of the driver, wherein the parameter set at least comprises human body shape parameters and posture parameters;
s2, judging whether the similarity between the parameter set of the driver and the existing parameter set of the driver exceeds a threshold value, if so, updating the existing parameter set of the driver, and if not, adding a new driver and the parameter set thereof;
s3, calculating the vehicle cabin adjusting parameters according to the updated parameter set or the new parameter set;
s4, judging whether a correction parameter exists, if so, adjusting the vehicle cabin according to the adjusting parameter and the correction parameter, and if not, adjusting the vehicle cabin according to the adjusting parameter;
s5, judging whether the driver is satisfied, if not, updating the correction parameters according to the manual adjustment of the driver;
and S6, ending.
2. The vehicle cabin matching adjustment method according to claim 1, characterized in that in step S2, the similarity between the human shape parameter β 1 in the driver 'S parameter set and the standard shape parameter β 0 in the existing driver' S parameter set is compared, and if yes, the existing driver 'S parameter set is updated according to the driver' S parameter set.
3. The vehicle cabin matching adjustment method of claim 2, wherein the step of updating the existing set of driver parameters based on the set of driver parameters comprises:
and optimizing the standard shape parameter beta 0 in a fitting and incremental mode.
4. The vehicle cabin matching adjustment method according to claim 1, wherein the vehicle cabin adjustment parameter is calculated in step S3, comprising the steps of:
s31, importing the parameter set as input into a trained human body parameterized model to generate an individual model M1 of the driver; predefining a standard sitting posture parameter theta 0;
s32, obtaining an adjustable domain, wherein the adjustable domain comprises the contact surfaces of a seat and a steering wheel in a vehicle cabin with a human body in the adjusting range of the adjustable domain;
s33, calculating a sitting posture human model, inputting a standard sitting posture parameter theta 0 into the individual model M1, adjusting in the adjustable domain, and simulating to obtain a sitting posture parameter theta 2 and a corresponding individual model M2;
s34, adjusting parameters of the vehicle cabin are calculated based on the individual model M2.
5. The vehicle cabin matching adjustment method of claim 4, wherein the parameterized human body model is defined as:
wherein the content of the first and second substances,
is a shape parameter;
is an attitude parameter;
a set needing training is selected; w is an LBS function; t isPThe vertex set is subjected to parameter correction; j is the joint position;
is a set of vertices;
is a shape displacement matrix;
is a shape displacement matrix;
is a transformation matrix from the static position vertex to the joint point;
is the mixing weight.
6. The vehicle cabin matching adjustment method according to claim 4, wherein the standard sitting posture includes a positional relationship of each part of the body, and the standard sitting posture parameter θ 0 includes an angle between the upper body and the vertical plane of 20 °, an angle between the upper leg and the horizontal plane of 15 °, an angle between the upper leg and the lower leg of 120 °, an angle between the head and the vertical plane of 0 °, an angle between the upper arm and the upper body of 30 °, and an angle between the lower arm and the horizontal plane of 15 °.
7. The vehicle cabin matching adjustment method of claim 1, wherein the set of driver parameters is obtained by data input or image recognition.
8. The vehicle cabin matching adjustment method of claim 7, wherein the image recognition comprises:
acquiring point cloud data of a driver by using a recognition device containing depth information;
performing point cloud segmentation on the point cloud data based on a point cloud deep learning method, and stripping out the human body point cloud independently;
and acquiring a parameter set of the driver based on the human body point cloud.
9. The vehicle cabin matching adjustment method of claim 1, wherein the cabin adjustment parameters include a position of a seat and a steering wheel matching a set of parameters, expressed as a cabin adjustment parameter P (Zs, Xs, Xf, AYb, Zh, Xw, Xsw, AYsw), where Zs represents a seat high-low position; xs represents the seat front-rear position; xf represents the cushion height; AYb denotes the seat back angle; zh represents the headrest height position; xw represents the lumbar support position; xsw indicates the front-rear steering wheel position; AYsw denotes the steering wheel up-down angle.
10. The vehicle cabin matching method of claim 9, wherein the correction parameters are used to correct the cabin tuning parameters, expressed as cabin correction parameters D (Δ Zs, Δ Xs, Δ Xf, Δ AYb, Δ Zh, Δ Xw, Δ Xsw, Δ AYsw), where Δ Zs represents seat height displacement; Δ Xs represents seat fore-aft displacement; Δ Xf represents the cushion height displacement; Δ AYb represents the seat back angle change; Δ Zh represents the headrest height displacement; Δ Xw represents the lumbar support displacement; Δ Xsw steering wheel fore and aft displacement; delta AYsw steering wheel up-down angle.
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