CN103707781A - Driver seat position automatic adjusting system based on distance images - Google Patents
Driver seat position automatic adjusting system based on distance images Download PDFInfo
- Publication number
- CN103707781A CN103707781A CN201310731553.XA CN201310731553A CN103707781A CN 103707781 A CN103707781 A CN 103707781A CN 201310731553 A CN201310731553 A CN 201310731553A CN 103707781 A CN103707781 A CN 103707781A
- Authority
- CN
- China
- Prior art keywords
- image
- seat
- chaufeur
- driver
- seat position
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Images
Abstract
The invention discloses a driver seat position automatic adjusting system based on distance images. The driver seat position automatic adjusting system comprises an image collecting device, an image processing device and a seat adjusting device, and is characterized in that the image collecting device at least comprises a distance image sensor, a CMOS camera and two infrared cameras and is used for collecting strength images and the distance images of a driver in real time and transmitting the collected strength images and distance images to the image processing device; the image processing device is used for processing the collected strength images and distance images of the driver to obtain the position information of the driver, set parameters of adjusting a seat position are generated according to the position information of the driver, and set parameters of adjusting the seat position by the driver are transmitted to the seat adjusting device according to instructions of the driver; the seat adjusting device optimizes and adjusts a vehicle driver seat according to the instructions of the driver and the received set information of adjusting the seat position by the driver. The system detects the positions of the eyes of the driver, the driver seat position is automatically optimized and adjusted by combining vehicle parameters, and the problem that the driver seat position is manually adjusted is solved.
Description
Technical field
The invention belongs to intelligent transport technology field, be specifically related to a kind of driver's seat position automatic adjustment system based on range image.
Background technology
Seat in automobile is the critical facility of impact driving and ride comfort degree, and driver's seat position all has important impact to the safety of chaufeur, Sitting comfort, the visual field, operation convenience etc.The driver's seat and the seat position that are applicable to driver's operation, can reduce the degree of fatigue of chaufeur, the incidence of reduction accident, the whether suitable driving quality that is directly connected to of driver chair of automobile position.
In existing driver's seat position optimizing device, although can realize the multi-faceted adjusting of driver's seat, but be all almost to be regulated manually by chaufeur, when same vehicle changes chaufeur driving, again the suitable seat position of manual regulation, makes troubles to driver behavior again.The present invention therefore.
Summary of the invention
The invention provides a kind of driver's seat position automatic adjustment system based on range image, it is all that manual regulation, control process are complicated that this system has solved the multi-faceted adjusting of driver's seat in prior art, hommization not; The not equal technical matters of the degree that different chaufeurs regulates.
In order to solve these problems of the prior art, technical scheme provided by the invention is:
A kind of driver's seat position automatic adjustment system based on range image, comprise image collecting device, image processing apparatus and chair regulating device, it is characterized in that described image collecting device, at least comprise 1 range image sensor, 1 CMOS camera and 2 infrared cameras, for intensity image and the range image of Real-time Collection chaufeur, and the intensity image of collection and range image are transferred to image processing apparatus; Described image processing apparatus is for carrying out fusion treatment to intensity image and the range image of the chaufeur gathering, obtain the location information of chaufeur, and according to the parameters of the location information formation adjusting seat position of chaufeur, according to driver command, the parameters of chaufeur adjusting seat position is transferred to seat adjustment device; Described seat adjustment device, according to the instruction of chaufeur, is optimized adjustment according to the configuration information of the chaufeur adjusting seat position receiving to vehicle driver's seat.
Preferred technical scheme is: range image sensor, CMOS camera and the mouth of infrared camera and the input end of image processing apparatus are connected.
Preferred technical scheme is: described image processing apparatus is DSP disposal system, and the mouth of DSP disposal system is connected with the input end of seat adjustment device.
Preferred technical scheme is: described system also comprises data storage apparatus, described data storage apparatus and image processing apparatus, what receive image processing apparatus reads or stores instruction, for reading or memory of driving person's intensity image and the parameters of range image and adjusting seat position.
Preferred technical scheme is: described system also comprises the input/output unit being connected with image processing apparatus, described input/output unit passes to image processing apparatus according to user's input operation by user instruction, image processing apparatus carries out seat adjustment according to user instruction, and by relevant information output prompting user.
Another object of the present invention is to provide a kind of driver's seat position automatic adjusting method based on range image, it is characterized in that said method comprising the steps of:
(1) receive the automatic adjustment seat instruction of chaufeur, start to gather range image and the intensity image of chaufeur;
(2) intensity image and the range image of the chaufeur gathering are carried out to fusion treatment, obtain the location information of chaufeur, and according to the location information of chaufeur, form the parameters of adjusting seat position;
(3) according to the configuration information of the chaufeur adjusting seat position receiving, vehicle driver's seat is optimized to adjustment.
Preferred technical scheme is: described method step (2) specifically comprises the following steps:
1) range image of the chaufeur collecting is carried out to edge extracting, determine the center of people's face; Utilize face classification device to carry out the detection of people's face the intensity image of the chaufeur collecting; According to the intensity image of the analysis of range image and synchronization acquisition, accurately determine people's face position and size;
2) facial image detecting is followed the tracks of, on the facial image of location, detected position of human eye, obtain position of human eye and distance in image;
3) according to user instruction, obtain the vehicle parameter of chaufeur human parameters and driving, position of human eye and distance in combining image, form the seat position parameters that is applicable to this chaufeur.
Preferred technical scheme is: in described method step (1), receive after the automatic adjustment seat instruction of chaufeur, described method also comprises the step that judges whether to carry out the automatic adjustment seat instruction of chaufeur according to following condition, and described condition is:
I) whether the kinematic velocity of current steering vehicle is zero;
Ii) whether current steering vehicle has adopted brake measure;
Iii) the pilot harness of the current steering vehicle state in fastening whether;
When three kinds of conditions that and if only if all meet, just carry out the automatic adjustment seat instruction of chaufeur.
The range image that the present invention utilizes range image sensor and infrared camera to obtain combines with intensity image, detect chaufeur position of human eye, in conjunction with vehicle parameter, realize the Automatic Optimal of driver's seat position, solve the problem that needs manual mode to regulate driver's seat position.Can increase the memory function of seat position in addition, when chaufeur is in the past driven same vehicle again, the seat position that only need transfer in the past according to the face recognition result of storage regulates record to carry out Automatic Optimal.
In order to describe easily content of the present invention, the image of first adjusting the distance defines.
Range image, i.e. depth image.In three dimensional computer graphics is learned, depth image refers to look from observation visual angle, a kind of image that the information that image comprises is relevant to object scene surface distance or an image channel.Like this, suppose that the change direction (being that pick up camera is taken direction) of image depth values is identical with the visual field direction Z direction of the three-dimensional scenic of required description, so just can describe at an easy rate whole three-dimensional scenic.Therefore, depth image is also referred to as range image.Compare with coloured image, depth image is the three-dimensional feature of reflection surface directly, and is not subject to the impact of the factors such as illumination, shade and colourity.In the present invention, the image-forming principle of utilizing range image sensor, 2 infrared cameras to obtain range image is time-of-flight method: by sending continuously light pulse to target, then with sensor, receive the light returning from object, by calculating the turnaround time of light pulse, obtain the distance of object.
In range image, black represents infinite distance, and white represents infinitely near, between the gray areas of black and white corresponding to object the physical distance to range image sensor.No matter, under any illuminating ray, it can collect the information of each point in the visual field, and is generated a range image in order to represent environmental information.Each point on range image, all has the numerical value one from 0 to 255, and different numerical value represents that this point is to the distance of infrared camera.Therefore, can be according to the data value of each point on range image, learn that they arrive the distance of range image sensor.Time flight method is a kind of method of measurement, and high speed light wave or sound wave that it is emitted by laser or microwave and millimeter wave radar can very fast being reflected back when these ripples run into object, can calculate the position of obstacle or target by this reflection.
Broadly, image is exactly all pictures with visual effect, and it comprises: on paper medium, on egative film or photo, TV, projector or computer screen, according to different recording modes, can be divided into analog image and digital image.Analog image can be changed and be carried out document image monochrome information by the power of certain physical quantity (as optical, electrical etc.), for example simulated television image; Digital image is by the data of Computer Storage, to carry out the monochrome information of each point on document image.Intensity image of the present invention narrowly refers to the digital image of processing for image being obtained by visible image capturing head, and it is two dimensional image, by array or matrix representation, by numeral, describes arbitrarily pixel, intensity and color.Image storage format conventional in computing machine has BMP, TIFF, EPS, JPEG, GIF, PSD, PDF etc.
The driver's seat position automatic adjustment system that the present invention is based on range image analysis comprises image collecting device, image processing apparatus and chair regulating device.
Wherein image capture module can be arranged on the top of meter panel of motor vehicle, the front face image of take in the time of can photographing steerman in the face of vehicle dead ahead is benchmark, after vehicle launch, adopt camera to obtain range image sequence and intensity image sequence, with near status information Real-time Obtaining chaufeur head and head.Described image collecting device at least comprises range image sensor, 2 infrared cameras, 1 CMOS camera, and range image sensor and 2 infrared cameras combine for obtaining range image sequence; CMOS camera, for obtaining intensity image sequence.
Image processing apparatus adopts DSP disposal system, and DSP disposal system is carried out Treatment Analysis to the range image sequence collecting and intensity image sequence.Wherein can also comprise input/output unit, wherein output unit is read out instrument, the information of can carrying out shows and arranges, for showing the date of the adjusting seat position data of Pilot Name and correspondence, and can be by choosing Pilot Name and regulating the date directly be optimized seat position.
Image processing apparatus has image capture module, range image sensor application module, people's face detection module, face tracking module, human eye detection module, supplemental characteristic library module, data management module, is used for carrying out the driver's seat position Automatic Optimal adjustment based on range image analysis.Image capture module wherein, for sending instruction, the range image sequence collecting by range image sensor, infrared camera and CMOS camera collection intensity image sequence to image collecting device.Range image sensor application module, research combines the range image information getting with the intensity image information of same time, accurately identify the method for driver's eyes position; People's face detection module, fusion distance image and intensity image information, detect position and the size (border) of people face part in intensity image; Face tracking module, follows the tracks of the facial image detecting, to reduce loss and false drop rate; Human eye detection module detects position of human eye on the facial image of location; Supplemental characteristic library module, comprises chaufeur human parameters as data such as height, body weight, and vehicle parameter is as data such as automobile model, the adjustable amplitude peak of seat position, headstock height; Data management module, for memory of driving person's face recognition result and the corresponding seat position data message that is applicable to this chaufeur; Seat adjusting module, adjusts parameter for reading seat, and generates seat adjustment instruction and send to chair regulating device according to the parameter of seat adjustment.
Chair regulating device can adopt existing electric seat of car control system, image processing apparatus sends after the parameter of adjusting after instruction and concrete adjustment to chair regulating device, and chair regulating device automatically adjusts according to the destination locations state providing in current position state and parameter.Adjusting as low in seat height, in order to make occupant can find suitable driving sitting position or comfortable Ride Style, by electric device adjusting seat height.As seat temperature regulates, when seat, be equipped with after the devices such as electro heat, refrigeration and ventilation, seat temperature can be heated up by occupant's demand or cooling, ventilation function can effectively improve the circulation of air environment of human body and seat contact portion, make contact surface dry and comfortable comfortable, be difficult for producing sweat.As leg support of seat regulates, by seat front end cushion length or angle, can keep and thigh between good contact, provide the more support of multiple location of shank, to meet the requirement of passenger to traveling comfort.As regulated before and after seat, by the front and back position of adjusting seat, to meet the requirement of passenger to vehicular drive.
With respect to scheme of the prior art, advantage of the present invention is:
The invention provides a kind of driver's seat position Automatic Optimal system of analyzing based on range image, the range image that utilizes range image sensor and infrared camera to obtain combines with intensity image, detect chaufeur position of human eye, in conjunction with vehicle parameter, realize the Automatic Optimal of driver's seat position, solved the problem that regulates manually driver's seat position, also increased in addition the memory function of seat position, when chaufeur is in the past driven same vehicle again, the seat position that only need transfer in the past according to the face recognition result of storage regulates record to carry out Automatic Optimal adjustment.
Accompanying drawing explanation
Below in conjunction with drawings and Examples, the invention will be further described:
Fig. 1 is the structured flowchart of the driver's seat position automatic adjustment system based on range image in the present invention;
Fig. 2 is the software architecture figure of the driver's seat position automatic adjustment system image processing system based on range image in the present invention;
Fig. 3 is the workflow schematic diagram of the driver's seat position automatic adjustment system based on range image in the present invention.
Fig. 4 is the processing flow chart of the driver's seat position automatic adjustment system range image based on range image in the present invention;
Fig. 5 (a) certain width range image for collecting, (b) middle white portion is that the profile that this range image is corresponding extracts result.
The specific embodiment
Below in conjunction with specific embodiment, such scheme is described further.Should be understood that these embodiment are not limited to limit the scope of the invention for the present invention is described.The implementation condition adopting in embodiment can be done further adjustment according to the condition of concrete producer, and not marked implementation condition is generally the condition in normal experiment.
Embodiment
As shown in Figure 1, should the driver's seat position automatic adjustment system based on range image analysis comprise image collecting device, image processing apparatus and chair regulating device.
Wherein image collecting device can be arranged on the top of meter panel of motor vehicle, the front face image of take in the time of can photographing steerman in the face of vehicle dead ahead is benchmark, after vehicle launch, adopt camera to obtain range image sequence and intensity image sequence, with near status information Real-time Obtaining chaufeur head and head.Described image collecting device at least comprises range image sensor, 2 infrared cameras, 1 CMOS camera, and range image sensor and 2 infrared cameras combine for obtaining range image sequence; CMOS camera, for obtaining intensity image sequence.
Image processing apparatus adopts DSP disposal system, and DSP disposal system is carried out Treatment Analysis to the range image sequence collecting and intensity image sequence.Wherein can also comprise input/output unit, wherein output unit is read out instrument, the information of can carrying out shows and arranges, for showing the date of the adjusting seat position data of Pilot Name and correspondence, and can be by choosing Pilot Name and regulating the date directly be optimized seat position.
Image processing apparatus comprises the modules such as image acquisition, range image sensor application, the detection of people's face, face tracking, human eye detection, parameter database, data management, is used for carrying out the driver's seat position Automatic Optimal adjustment based on range image analysis.Image capture module wherein, for sending instruction, the range image sequence collecting by range image sensor, infrared camera and CMOS camera collection intensity image sequence to image collecting device.Range image sensor application module, research combines the range image information getting with the intensity image information of same time, accurately identify the method for driver's eyes position; People's face detection module, fusion distance image and intensity image information, detect position and the size (border) of people face part in intensity image; Face tracking module, follows the tracks of the facial image detecting, to reduce loss and false drop rate; Human eye detection module detects position of human eye on the facial image of location; Supplemental characteristic library module, comprises chaufeur human parameters as data such as height, body weight, and vehicle parameter is as data such as automobile model, the adjustable amplitude peak of seat position, headstock height; Data management module, for memory of driving person's face recognition result and the corresponding seat position data message that is applicable to this chaufeur; Seat adjusting module, adjusts parameter for reading seat, and generates seat adjustment instruction and send to chair regulating device according to the parameter of seat adjustment.
Chair regulating device can adopt existing electric seat of car control system, image processing apparatus sends after the parameter of adjusting after instruction and concrete adjustment to chair regulating device, and chair regulating device automatically adjusts according to the destination locations state providing in current position state and parameter.Adjusting as low in seat height, in order to make occupant can find suitable driving sitting position or comfortable Ride Style, by electric device adjusting seat height.As seat temperature regulates, when seat, be equipped with after the devices such as electro heat, refrigeration and ventilation, seat temperature can be heated up by occupant's demand or cooling, ventilation function can effectively improve the circulation of air environment of human body and seat contact portion, make contact surface dry and comfortable comfortable, be difficult for producing sweat.As leg support of seat regulates, by seat front end cushion length or angle, can keep and thigh between good contact, provide the more support of multiple location of shank, to meet the requirement of passenger to traveling comfort.As regulated before and after seat, by the front and back position of adjusting seat, to meet the requirement of passenger to vehicular drive.
As shown in Figure 3, the invention will be further described, and the driver's seat position self-align workflow of analyzing based on range image is as follows:
1,, after vehicle launch, the driver's seat position automatic adjustment system based on range image analysis is started working.
Adopt camera to obtain range image sequence and intensity image sequence, with near status information Real-time Obtaining chaufeur head and head.Range image sensor and 2 infrared cameras combine for obtaining range image sequence; CMOS camera, for obtaining intensity image sequence.
2, the treating process of range image
Rang sensor and 2 infrared cameras obtain the range image sequence of chaufeur face and near the environment of face according to time-of-flight, on every width range image, the gray value of every bit represents that chaufeur and seat wait until the physical distance of camera, as shown in Figure 5, be the range image that a pair collects.
As shown in Figure 4, for range image, tentatively determine through the following steps the position of chaufeur people face part: the range image collecting is coloured image, first it is carried out to gray processing processing, then be converted to bianry image, and use prewitt operator to carry out edge extracting, more level and smooth for making ensuing exterior contour extract result, first carry out morphological dilations and erosion operation, then carry out profile extraction, finally carry out width projection, and according to width drop shadow curve, the summit (being the top of the head) of finding out from profilograph starts the maximum value and location of pixels corresponding to minimal value difference that occur for the first time, can calculate the position of facial image.
If the pixel coordinate in the image upper left corner is (0, 0), as shown in Figure 5, (a) certain width range image for collecting, (b) in, white portion is that the profile that this range image is corresponding extracts result, the summit that P point is chaufeur human body contour outline curve is the top of the head, M1, M2 correspondence is from P point first width maximum point down, N1, N2 correspondence is from P point first width minimum point down, according to P, M1, M2, N1, the location of pixels information at N2 place, can extract the chaufeur head position EFGH in human body contour outline curve, while being reduced to former range image, accuracy in order to ensure location information, the present embodiment is taked the method to the distance of 20 pixels of external expansion by EFGH, so just obtained people's face location information of chaufeur in range image.
3, the treating process of intensity image
(1) training of human face detects segregator
Through test of many times, obtain a large amount of facial images, for making training sample variation, improve the accuracy of segregator, choose the facial image (intensity image) in multiple expression, multi-angle, many illumination variation situation, carry out pretreatment and be normalized to the positive sample of 24 * 24 sizes; From video sequence, intercept the image that does not contain people's face any part under different background, different light situation of change, carry out pretreatment and be normalized to 24 * 24 sizes as negative sample; Then extract the Harr feature of samples pictures, for complexity that greatly simplify to calculate, improved detection speed, the present embodiment adopts the harr feature of 6 kinds of forms such as conventional edge, linearity, diagonal line, and utilizes " integrogram " to carry out quick computation of characteristic values; Finally based on Adaboost method training of human face, detect segregator.
(2) training human eye detection segregator
The step of training human eye detection segregator is identical with the step that training of human face detects segregator, only need to change training sample: gather the eye image (intensity image) of different chaufeurs in different light, the situation of whether wearing glasses and do not contain the image (intensity image) of human eye any part, carry out pretreatment and be normalized to after the human eye sample of 24 * 12 sizes, the method training human eye detection segregator that adopts conventional harr feature to combine with Adaboost.
(3), for the up-to-date intensity image obtaining, adopt following steps to process:
To the intensity image obtaining by CMOS camera, first carry out the image pretreatments such as gray processing, illumination compensation, then use the people's face training to detect segregator and carry out the detection of people's face, obtain position and the size (border) of the image of people face part.
4, the fusion of intensity image and range image information
Through above-mentioned steps, on the range image I1 and intensity image I2 collecting at synchronization, position and the size (border) of human face region have tentatively been obtained respectively, and represent by the pixel coordinate in the human face region upper left corner and the width of human face region and length, be designated as respectively J (x1, y1), w1, h1 and Q (x2, y2), w2, h2.
Range image I1 is identical with intensity image I2 size, at synchronization, the relative position of human face region on two width images also roughly overlaps, when all detect human face region on two width images, and the position of human face region and big or small when corresponding, can obtain accurate human face region information by following formula, as people's face testing result, be designated as F (x, y), w, h:
5. in order to reduce the undetected and flase drop situation of chaufeur people face, on intensity image, the facial image detecting is followed the tracks of.Wherein, track algorithm structure is following three steps: prediction, tracking and target update, first utilize the kinematic parameter of target and predict for the ad hoc rules of native system the region that in next frame, moving target may occur; Then for the variation of moving target between consecutive frame, utilize eigenwert calculation cost functional value, obtain the succeeding target of moving target correspondence in next frame in present frame, set up corresponding relation; Finally the object chain of tracked moving target, target position information and target signature amount are upgraded.
6. according to the detection and tracking result to facial image, carry out location, chaufeur people face position, obtain location of pixels and the size information of human face region, then utilize principal component analysis (PCA) (Principal Component Analysis, PCA) method carry out recognition of face and store recognition result.
7. on the facial image of location, use the human eye detection segregator training to carry out eye image detection.
8. if just in time can see that with chaufeur headstock position is as the criterion, detect after position of human eye, in conjunction with the data in chaufeur human parameters data bank and vehicle parameter data bank, determine that the distance that driver's seat should move carries out Automatic Optimal and the information such as date, chaufeur face recognition result, seat position are stored.
9. when different chaufeurs is driven same vehicle, first system carries out recognition of face to chaufeur, if recognition result is not present in memory system, just through above-mentioned same step, date, the new information such as seat position corresponding to chaufeur face recognition result, face recognition result, fresh driver are stored.
10. when chaufeur is in the past driven same vehicle again, equally first system carries out recognition of face to chaufeur, if find the face recognition result that can mate in memory system, only need find out the numbering of the chaufeur corresponding with this face recognition result, then transfer corresponding seat position and regulate record to carry out the Automatic Optimal of seat position.
Above-mentioned example is only explanation technical conceive of the present invention and feature, and its object is to allow person skilled in the art can understand content of the present invention and implement according to this, can not limit the scope of the invention with this.All equivalent transformations that Spirit Essence is done according to the present invention or modification, within all should being encompassed in protection scope of the present invention.
Claims (8)
1. the driver's seat position automatic adjustment system based on range image, comprise image collecting device, image processing apparatus and chair regulating device, it is characterized in that described image collecting device, at least comprise 1 range image sensor, 1 CMOS camera and 2 infrared cameras, for intensity image and the range image of Real-time Collection chaufeur, and the intensity image of collection and range image are transferred to image processing apparatus; Described image processing apparatus is for carrying out fusion treatment to intensity image and the range image of the chaufeur gathering, obtain the location information of chaufeur, and according to the parameters of the location information formation adjusting seat position of chaufeur, according to driver command, the parameters of chaufeur adjusting seat position is transferred to seat adjustment device; Described seat adjustment device, according to the instruction of chaufeur, is optimized adjustment according to the configuration information of the chaufeur adjusting seat position receiving to vehicle driver's seat.
2. the driver's seat position automatic adjustment system based on range image according to claim 1, is characterized in that range image sensor, CMOS camera and the mouth of infrared camera and the input end of image processing apparatus are connected.
3. the driver's seat position automatic adjustment system based on range image according to claim 1, is characterized in that described image processing apparatus is DSP disposal system, and the mouth of DSP disposal system is connected with the input end of seat adjustment device.
4. the driver's seat position automatic adjustment system based on range image according to claim 1, it is characterized in that described system also comprises data storage apparatus, described data storage apparatus and image processing apparatus, what receive image processing apparatus reads or stores instruction, for reading or memory of driving person's intensity image and the parameters of range image and adjusting seat position.
5. the driver's seat position automatic adjustment system based on range image according to claim 1, it is characterized in that described system also comprises the input/output unit being connected with image processing apparatus, described input/output unit passes to image processing apparatus according to user's input operation by user instruction, image processing apparatus carries out seat adjustment according to user instruction, and by relevant information output prompting user.
6. the driver's seat position automatic adjusting method based on range image, is characterized in that said method comprising the steps of:
(1) receive the automatic adjustment seat instruction of chaufeur, start to gather range image and the intensity image of chaufeur;
(2) intensity image and the range image of the chaufeur gathering are carried out to fusion treatment, obtain the location information of chaufeur, and according to the location information of chaufeur, form the parameters of adjusting seat position;
(3) according to the configuration information of the chaufeur adjusting seat position receiving, vehicle driver's seat is optimized to adjustment.
7. driver's seat according to claim 6 position automatic adjusting method, is characterized in that described method step (2) specifically comprises the following steps:
1) range image of the chaufeur collecting is carried out to edge extracting, determine the center of people's face; Utilize face classification device to carry out the detection of people's face the intensity image of the chaufeur collecting; According to the intensity image of the analysis of range image and synchronization acquisition, accurately determine people's face position and size;
2) facial image detecting is followed the tracks of, on the facial image of location, detected position of human eye, obtain position of human eye and distance in image;
3) according to user instruction, obtain the vehicle parameter of chaufeur human parameters and driving, position of human eye and distance in combining image, form the seat position parameters that is applicable to this chaufeur.
8. driver's seat according to claim 6 position automatic adjusting method, it is characterized in that receiving in described method step (1) after the automatic adjustment seat instruction of chaufeur, described method also comprises the step that judges whether to carry out the automatic adjustment seat instruction of chaufeur according to following condition, and described condition is:
I) whether the kinematic velocity of current steering vehicle is zero;
Ii) whether current steering vehicle has adopted brake measure;
Iii) the pilot harness of the current steering vehicle state in fastening whether;
When three kinds of conditions that and if only if all meet, just carry out the automatic adjustment seat instruction of chaufeur.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201310731553.XA CN103707781B (en) | 2013-12-26 | 2013-12-26 | Based on the driver's seat position automatic adjustment system of range image |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201310731553.XA CN103707781B (en) | 2013-12-26 | 2013-12-26 | Based on the driver's seat position automatic adjustment system of range image |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN103707781A true CN103707781A (en) | 2014-04-09 |
| CN103707781B CN103707781B (en) | 2016-02-24 |
Family
ID=50401266
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201310731553.XA Active CN103707781B (en) | 2013-12-26 | 2013-12-26 | Based on the driver's seat position automatic adjustment system of range image |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN103707781B (en) |
Cited By (25)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104290613A (en) * | 2014-10-31 | 2015-01-21 | 成都众易通科技有限公司 | Automatic adjusting system of driver seat |
| CN105109365A (en) * | 2015-09-18 | 2015-12-02 | 宇龙计算机通信科技(深圳)有限公司 | Method and device for regulating parameters of vehicle seat |
| CN104503476B (en) * | 2014-11-27 | 2017-01-04 | 南京福图信息科技有限公司 | A kind of seat adjuster system based on 3D TV viewing ratio and method |
| CN106335408A (en) * | 2016-10-25 | 2017-01-18 | 辽宁工程技术大学 | Adaptive Adjusting System for Automobile Driver Seat |
| WO2017071502A1 (en) * | 2015-10-27 | 2017-05-04 | 浙江吉利控股集团有限公司 | Vehicle control system based on face recognition |
| CN106778615A (en) * | 2016-12-16 | 2017-05-31 | 中新智擎有限公司 | A kind of method of identifying user identity, device and service for infrastructure robot |
| CN107215295A (en) * | 2016-03-22 | 2017-09-29 | 福特全球技术公司 | The body scans set for internal preference |
| CN107804255A (en) * | 2016-09-08 | 2018-03-16 | 通用汽车环球科技运作有限责任公司 | Method and apparatus for detecting size of the people before space is entered |
| CN108263250A (en) * | 2017-12-28 | 2018-07-10 | 江西爱驰亿维实业有限公司 | Vehicle-mounted memory seat method of adjustment, system and terminal based on recognition of face |
| CN108962348A (en) * | 2018-04-27 | 2018-12-07 | 阜南县藤之府家居工艺品有限公司 | A kind of massage armchair intelligence parameter setting system |
| EP3425421A1 (en) * | 2017-07-07 | 2019-01-09 | Infineon Technologies AG | System and method for identifying a biological target using radar sensors |
| CN109435883A (en) * | 2018-11-19 | 2019-03-08 | 李震成 | Automotive self-adaptive human body intelligent enters system and method |
| CN110148092A (en) * | 2019-04-16 | 2019-08-20 | 无锡海鸿信息技术有限公司 | The analysis method of teenager's sitting posture based on machine vision and emotional state |
| CN110316030A (en) * | 2019-05-24 | 2019-10-11 | 深圳市元征科技股份有限公司 | A kind of adjusting method and regulating device of vehicle seat |
| CN111032446A (en) * | 2017-08-16 | 2020-04-17 | 奥迪股份公司 | Method for operating an occupant protection system of a vehicle and occupant protection system of a vehicle |
| CN111890871A (en) * | 2020-07-21 | 2020-11-06 | 宁波奥克斯电气股份有限公司 | Bluetooth headset for automobile control, automobile control system and control method |
| CN112036468A (en) * | 2020-08-27 | 2020-12-04 | 安徽江淮汽车集团股份有限公司 | Driving operation system adjusting method, vehicle and storage medium |
| US10860872B2 (en) | 2016-03-21 | 2020-12-08 | Ford Global Technologies, Llc | Virtual vehicle occupant rendering |
| CN112477707A (en) * | 2020-12-15 | 2021-03-12 | 四川长虹电器股份有限公司 | Automatic-adjustment automobile seat control system and method based on tof |
| CN112519789A (en) * | 2019-09-17 | 2021-03-19 | Aptiv技术有限公司 | Method and system for determining activity of vehicle occupant |
| CN112659990A (en) * | 2020-12-28 | 2021-04-16 | 浙江合众新能源汽车有限公司 | Driver seat adjusting system |
| CN112955937A (en) * | 2019-02-27 | 2021-06-11 | Jvc建伍株式会社 | Recording/reproducing device, recording/reproducing method, and program |
| CN112997191A (en) * | 2020-06-05 | 2021-06-18 | 华为技术有限公司 | Method and device for acquiring driver image |
| CN114475371A (en) * | 2022-02-23 | 2022-05-13 | 东风汽车集团股份有限公司 | Intelligent adjusting system for front and rear seats of off-road vehicle and control method |
| CN115284976A (en) * | 2022-08-10 | 2022-11-04 | 东风柳州汽车有限公司 | Automatic adjusting method, device and equipment for vehicle seat and storage medium |
Families Citing this family (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111071113A (en) * | 2018-10-19 | 2020-04-28 | 上海商汤智能科技有限公司 | Vehicle seat intelligent adjusting method and device, vehicle, electronic equipment and medium |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1618654A (en) * | 2003-11-22 | 2005-05-25 | 格拉默股份公司 | Vehicle seat with automatic height adjustment and method therefore |
| US20060061175A1 (en) * | 2004-06-22 | 2006-03-23 | C. Rob. Hammerstein Gmbh & Co., Kg | Forwardly movable automotive vehicle seat, more specifically for a two door vehicle |
| CN101073996A (en) * | 2006-05-16 | 2007-11-21 | 格拉默股份公司 | Height adjusting device for vehicle seat and vehicle seat with the same device |
| CN202685999U (en) * | 2012-06-19 | 2013-01-23 | 浙江吉利汽车研究院有限公司杭州分公司 | Automatic adjustment system of driving seat |
| CN103029599A (en) * | 2011-10-06 | 2013-04-10 | 宝马股份公司 | Adjustment device for ergonomically setting a vehicle seat with several adjustable seat components |
| DE102012208644A1 (en) * | 2011-11-23 | 2013-05-23 | Johnson Controls Gmbh | Device and method for adjusting a seating position |
-
2013
- 2013-12-26 CN CN201310731553.XA patent/CN103707781B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1618654A (en) * | 2003-11-22 | 2005-05-25 | 格拉默股份公司 | Vehicle seat with automatic height adjustment and method therefore |
| US20060061175A1 (en) * | 2004-06-22 | 2006-03-23 | C. Rob. Hammerstein Gmbh & Co., Kg | Forwardly movable automotive vehicle seat, more specifically for a two door vehicle |
| CN101073996A (en) * | 2006-05-16 | 2007-11-21 | 格拉默股份公司 | Height adjusting device for vehicle seat and vehicle seat with the same device |
| CN103029599A (en) * | 2011-10-06 | 2013-04-10 | 宝马股份公司 | Adjustment device for ergonomically setting a vehicle seat with several adjustable seat components |
| DE102012208644A1 (en) * | 2011-11-23 | 2013-05-23 | Johnson Controls Gmbh | Device and method for adjusting a seating position |
| CN202685999U (en) * | 2012-06-19 | 2013-01-23 | 浙江吉利汽车研究院有限公司杭州分公司 | Automatic adjustment system of driving seat |
Cited By (38)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104290613A (en) * | 2014-10-31 | 2015-01-21 | 成都众易通科技有限公司 | Automatic adjusting system of driver seat |
| CN104503476B (en) * | 2014-11-27 | 2017-01-04 | 南京福图信息科技有限公司 | A kind of seat adjuster system based on 3D TV viewing ratio and method |
| CN105109365A (en) * | 2015-09-18 | 2015-12-02 | 宇龙计算机通信科技(深圳)有限公司 | Method and device for regulating parameters of vehicle seat |
| WO2017071502A1 (en) * | 2015-10-27 | 2017-05-04 | 浙江吉利控股集团有限公司 | Vehicle control system based on face recognition |
| US10821988B2 (en) | 2015-10-27 | 2020-11-03 | Zhejiang Geely Holding Group Co., Ltd | Vehicle control system based on face recognition |
| US10860872B2 (en) | 2016-03-21 | 2020-12-08 | Ford Global Technologies, Llc | Virtual vehicle occupant rendering |
| CN107215295A (en) * | 2016-03-22 | 2017-09-29 | 福特全球技术公司 | The body scans set for internal preference |
| CN107215295B (en) * | 2016-03-22 | 2022-03-15 | 福特全球技术公司 | Vehicle comprising a body scanning system for internal preference settings |
| CN107804255A (en) * | 2016-09-08 | 2018-03-16 | 通用汽车环球科技运作有限责任公司 | Method and apparatus for detecting size of the people before space is entered |
| CN107804255B (en) * | 2016-09-08 | 2021-02-02 | 通用汽车环球科技运作有限责任公司 | Method and device for detecting the size of a person before entering a space |
| CN106335408A (en) * | 2016-10-25 | 2017-01-18 | 辽宁工程技术大学 | Adaptive Adjusting System for Automobile Driver Seat |
| CN106778615A (en) * | 2016-12-16 | 2017-05-31 | 中新智擎有限公司 | A kind of method of identifying user identity, device and service for infrastructure robot |
| CN106778615B (en) * | 2016-12-16 | 2019-10-18 | 中新智擎科技有限公司 | A kind of method, apparatus and service for infrastructure robot identifying user identity |
| EP3425421A1 (en) * | 2017-07-07 | 2019-01-09 | Infineon Technologies AG | System and method for identifying a biological target using radar sensors |
| US11656333B2 (en) | 2017-07-07 | 2023-05-23 | Infineon Technologies Ag | System and method for identifying a target using radar sensors |
| US10591586B2 (en) | 2017-07-07 | 2020-03-17 | Infineon Technologies Ag | System and method for identifying a target using radar sensors |
| CN111032446B (en) * | 2017-08-16 | 2023-01-10 | 奥迪股份公司 | Method for operating an occupant protection system of a vehicle and occupant protection system of a vehicle |
| CN111032446A (en) * | 2017-08-16 | 2020-04-17 | 奥迪股份公司 | Method for operating an occupant protection system of a vehicle and occupant protection system of a vehicle |
| US11364867B2 (en) | 2017-08-16 | 2022-06-21 | Audi Ag | Method for operating an occupant protection system of a vehicle, and occupant protection system for a vehicle |
| CN108263250A (en) * | 2017-12-28 | 2018-07-10 | 江西爱驰亿维实业有限公司 | Vehicle-mounted memory seat method of adjustment, system and terminal based on recognition of face |
| CN108962348A (en) * | 2018-04-27 | 2018-12-07 | 阜南县藤之府家居工艺品有限公司 | A kind of massage armchair intelligence parameter setting system |
| CN109435883A (en) * | 2018-11-19 | 2019-03-08 | 李震成 | Automotive self-adaptive human body intelligent enters system and method |
| CN112955937A (en) * | 2019-02-27 | 2021-06-11 | Jvc建伍株式会社 | Recording/reproducing device, recording/reproducing method, and program |
| CN110148092B (en) * | 2019-04-16 | 2022-12-13 | 无锡海鸿信息技术有限公司 | Method for analyzing sitting posture and emotional state of teenager based on machine vision |
| CN110148092A (en) * | 2019-04-16 | 2019-08-20 | 无锡海鸿信息技术有限公司 | The analysis method of teenager's sitting posture based on machine vision and emotional state |
| CN110316030B (en) * | 2019-05-24 | 2021-10-15 | 深圳市元征科技股份有限公司 | Adjusting method and adjusting device for vehicle seat |
| CN110316030A (en) * | 2019-05-24 | 2019-10-11 | 深圳市元征科技股份有限公司 | A kind of adjusting method and regulating device of vehicle seat |
| CN112519789A (en) * | 2019-09-17 | 2021-03-19 | Aptiv技术有限公司 | Method and system for determining activity of vehicle occupant |
| CN112997191A (en) * | 2020-06-05 | 2021-06-18 | 华为技术有限公司 | Method and device for acquiring driver image |
| CN111890871A (en) * | 2020-07-21 | 2020-11-06 | 宁波奥克斯电气股份有限公司 | Bluetooth headset for automobile control, automobile control system and control method |
| CN112036468A (en) * | 2020-08-27 | 2020-12-04 | 安徽江淮汽车集团股份有限公司 | Driving operation system adjusting method, vehicle and storage medium |
| CN112477707B (en) * | 2020-12-15 | 2022-05-10 | 四川长虹电器股份有限公司 | Automatic-adjustment automobile seat control system and method based on tof |
| CN112477707A (en) * | 2020-12-15 | 2021-03-12 | 四川长虹电器股份有限公司 | Automatic-adjustment automobile seat control system and method based on tof |
| CN112659990A (en) * | 2020-12-28 | 2021-04-16 | 浙江合众新能源汽车有限公司 | Driver seat adjusting system |
| CN112659990B (en) * | 2020-12-28 | 2022-07-05 | 浙江合众新能源汽车有限公司 | Driver seat adjusting system |
| CN114475371A (en) * | 2022-02-23 | 2022-05-13 | 东风汽车集团股份有限公司 | Intelligent adjusting system for front and rear seats of off-road vehicle and control method |
| CN115284976A (en) * | 2022-08-10 | 2022-11-04 | 东风柳州汽车有限公司 | Automatic adjusting method, device and equipment for vehicle seat and storage medium |
| CN115284976B (en) * | 2022-08-10 | 2023-09-12 | 东风柳州汽车有限公司 | Automatic adjustment method, device and equipment for vehicle seat and storage medium |
Also Published As
| Publication number | Publication date |
|---|---|
| CN103707781B (en) | 2016-02-24 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN103707781B (en) | Based on the driver's seat position automatic adjustment system of range image | |
| CN103714321B (en) | Driver's Face detection system based on range image and intensity image | |
| CN107909061B (en) | Head posture tracking device and method based on incomplete features | |
| CN102737236B (en) | Method for automatically acquiring vehicle training sample based on multi-modal sensor data | |
| US8055016B2 (en) | Apparatus and method for normalizing face image used for detecting drowsy driving | |
| CN109188932A (en) | A kind of multi-cam assemblage on-orbit test method and system towards intelligent driving | |
| CN111161160B (en) | Foggy weather obstacle detection method and device, electronic equipment and storage medium | |
| CN105302151A (en) | Aircraft docking guidance and type recognition system and method | |
| CN109934108B (en) | Multi-target and multi-type vehicle detection and distance measurement system and implementation method | |
| CN102855476A (en) | Self-adaptive binocular iris synchronous collection system of single image sensor | |
| CN110210474A (en) | Object detection method and device, equipment and storage medium | |
| CN106934380A (en) | A kind of indoor pedestrian detection and tracking based on HOG and MeanShift algorithms | |
| CN104331901A (en) | TLD-based multi-view target tracking device and method | |
| US20180208201A1 (en) | System and method for a full lane change aid system with augmented reality technology | |
| EP4058984A1 (en) | Geometry-aware instance segmentation in stereo image capture processes | |
| CN104517095A (en) | Head division method based on depth image | |
| CN110378210A (en) | A kind of vehicle and car plate detection based on lightweight YOLOv3 and long short focus merge distance measuring method | |
| CN112287896A (en) | Unmanned aerial vehicle aerial image target detection method and system based on deep learning | |
| CN109003326A (en) | A kind of virtual laser radar data generation method based on virtual world | |
| CN110514133A (en) | It is a kind of based on photogrammetric unmanned plane tunnel deformation detection method | |
| CN107203743B (en) | Face depth tracking device and implementation method | |
| CN106291520A (en) | A kind of DAS (Driver Assistant System) based on coded laser light and binocular vision and method | |
| Huang et al. | Measuring the absolute distance of a front vehicle from an in-car camera based on monocular vision and instance segmentation | |
| CN202196428U (en) | Single image sensor self-adaptive binocular iris synchronous acquisition system | |
| CN101320477A (en) | Human body tracing method and equipment thereof |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant |