CN102424027B - Device and method for identifying passenger type and sitting posture based on sitting trace - Google Patents
Device and method for identifying passenger type and sitting posture based on sitting trace Download PDFInfo
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- CN102424027B CN102424027B CN201110357718.2A CN201110357718A CN102424027B CN 102424027 B CN102424027 B CN 102424027B CN 201110357718 A CN201110357718 A CN 201110357718A CN 102424027 B CN102424027 B CN 102424027B
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Abstract
The invention relates to a device and method for identifying the passenger type and sitting posture based on a sitting trace, which are used for the decision of an intelligent passenger restraining system in automobile passive safety. The method comprises the following steps of: acquiring the dot matrix information of a sensing array according to a switching signal on a measurement sensor array to form the sitting trace of a passenger; comparing the dot matrix information with the typical dot matrix information of all kinds of passengers pre-stored in a memory; and identifying the passenger type most approaching to the dot matrix and the sitting posture of the passenger. In the invention, a switch array is used as a measurement sensor, thus the cost is low and the service life is long; any modification on the seat structure is not required, the device is convenient and quick to install and has a wide application range; and the device can be used as a real-time recorder for the hip movement of the passenger.
Description
Technical field
The present invention relates to the passenger type on automotive seat and take gesture recognition apparatus and method, according to its recognition result, for the decision-making of the intelligent occupant restrain system of vehicle passive safety.And can be used as the real-time recorder of passenger's hip motion.
Background technology
When automobile crashes, safety strap, safety air bag are actv. passenger protection measures.But up to the present; various countries are about the rules of passenger protection in collision, and most only regulation normally taken the protecting standard of attitude under certain impact strength (the United States Federal's MVSR increased for No. 208 protection of 5 hundredths woman occupants and child passenger is required) to 50 hundredths male sex chaufeurs and occupant.
By normal seating position, the common gas-bag system of 50 hundredths male sex occupant designs, very likely in expansion process, off normal occupant and little stature women or children are caused to mortal injury, not only do not have due protective effect, also can become new injury source, therefore novel intelligent occupant restrain system is all being studied by Ge great car company at present, as adopt the safety air bag of multistage gas generator, by occupant's type and seating position on judgement seat, carry out air bag system and open quick-fried decision-making, to 3 years old, 6 years old child passengers, 5 hundredths woman occupants and the occupant that offs normal are different according to impact strength, by decision-making process, judged, determine that safety air bag is that excessive risk is launched or low-risk is launched or do not launch.
Equally; for adapting to the passenger type of different statures and the situation of offing normal; force-limiting device, preloader in advanced belt system; all be designed to multistage trigger mode; which rank of works to carry out decision-making according to specific circumstances, realizes different stature passenger types, difference and takes the occupant of attitude and all can be effectively protected.
Therefore for the exploitation of intelligent occupant restrain system decision-making process, the passenger type of taking on correct identification seat and to take attitude be the most important condition, to the correct decisions of this system with effectively protection is most important.
Current existing passenger differentiating apparatus is as the passenger differentiating apparatus (patent publication No.: CN101462525A) with independent frame structure, adopt the passenger differentiating apparatus (patent publication No.: CN101462526A) of two load cells, passenger differentiating apparatus (patent publication No.: CN101654091A), their feature is on the carrying structure of seat, the mode of design weight sensor is identified passenger's quality, and then judgement passenger's stature type, therefore need to change cushion frame structure, with installed load sensor, and they cannot judge that what on seat, take is passenger or general article, also cannot judge the attitude of taking of passenger, the installation of its means of identification is complicated, recognition system is on the high side.
Summary of the invention
The technical matters that patent of the present invention will solve is: a kind of passenger type and sitting posture means of identification and method are provided, without the carrying structure to seat, make any change, can identify the passenger type of taking on seat and the attitude of taking.
For achieving the above object, the technical solution used in the present invention is as follows:
Employing is taken trace testing cushion to placing passenger between the skin parcel cloth of Chain cushion and backrest and seat foam material, the survey sensor array that this trace testing cushion consists of diaphragm or thin-film switch forms, by judgement trace, measure the switching of unit in diaphragm switch array in pad, form passenger and take trace on cushion and backrest, the trace of take on cushion is main distinguishing rule, judgement passenger's type, trace on backrest, for auxiliary distinguishing rule, is judged and is taken attitude and the situation of offing normal.
The inventive system comprises: comprise sensor array, micro controller system, line output interface, alignment input interface, judged result output interface arrangement, memory device, switch is set; Sensor array comprises line (17), alignment (18) and sensor (19), sensor is diaphragm or thin-film switch, sensor (19) is arranged at the infall of line (17) and alignment (18), and line (17) is 8 ~ 96 row, and alignment (18) is 16 ~ 128 row; Line (17) is connected with the delivery port of micro controller system by line output interface, and alignment (18) is connected with the input port of micro controller system by alignment input interface, switch is set and is connected with micro controller system, and memory device is connected with micro controller system.
Control signal is divided into two groups of line and alignments, and sensor is arranged on the point of crossing of rowaand column lines, and when a point of crossing has pressure-acting, line and alignment are connected.Line is connected with the delivery port of micro controller system, alignment is connected to the input port of micro controller system, micro controller system circulation is to mouth output low level signal, each is constantly set to low level by one of line, other line output high level, detect the input of alignment simultaneously, which by the condition discrimination sensor that line is exported and alignment monitors, press, for example, when first line output low level, if monitor first alignment, be input as low level, the sensor that can judge the first row first row is depressed, can monitor the state of sensor array in this way, thereby form passenger's the trace of taking.
The trace recording according to testing cushion adopts following method to carry out the identification of passenger type and sitting posture:
A, micro controller system circulate to line output low level signal by delivery port, when sensor pressurized, produce signal, micro controller system is accepted the signal of sensor array by alignment input interface, if the element of a matrix of sensor array signal formation is 1 o'clock entirely, judge on seat without passenger;
B, when the element of a matrix of sensor array signal formation is not 1 entirely, the imprinted matrix that micro controller system forms sensor array carries out image recognition, trace image (matrix neutral element forms image) is U-shaped, judges on seat it is passenger, otherwise is general object on seat;
C, when B step recognition result is general object, sensor array is taken to trace root characteristic curve and carries out feature identification; On identification seat, whether be further passenger, trace root characteristic curve be shaped as circular arc type, be judged to be passenger, otherwise be general object on seat; Whether, when the sitting posture of seated passenger is the abnomal condition of offing normal, the trace image on cushion is non-U-shaped, by being passenger on the shape recognition seat of trace root characteristic curve;
When D, result are passenger, identification passenger type; Calculate trace image rear portion and account in whole testing cushion length 15-35% area division, the number of sensors that accumulative total activates and the ratio of this area sensor total quantity, when this ratio >=75%, be judged to be the above passenger of 95 hundredths; When this ratio is when 64%-70% is interval, be judged to be 50 hundredths passengers; When this ratio is when 56%-62% is interval, be judged to be 5 hundredths women passengers; When this ratio is when 30%-38% is interval, be judged to be 6 years old children; When this ratio is ≤25% time, be judged to be 3 years old and following children, in the time of outside this ratio is between above-mentioned given area, adopt interpolation method judgement;
E, according to the row number at the last sensor place of activating in sensor array, in conjunction with the sensor on backrest, whether activate, judge occupant's the situation of offing normal of taking attitude and occupant; Backrest upper sensor activates, occupant to take attitude normal, safety air bag adopts excessive risk to launch strategy; The passenger type identifying in step D is that 5 hundredths are when following, and the sensor on backrest does not activate, and the last row number that activate of cushion are greater than a half of total row number, that judges occupant takes attitude as the situation of offing normal, safety air bag employing low-risk expansion or do not launch strategy.
According to its recognition result, for the Intelligent Constraint system of vehicle passive safety (adopt multistage gas generator technology safety air bag, adopt the belt system of multistage force-limiting device, multistage preloader) decision-making, according to passenger type (95 hundredths, 50 hundredths, 5 hundredths adults, 6 years old, 3 years old following children) and take the difference (normal sitting position or the sitting posture of offing normal) of attitude, judge that safe automobile air bag is that excessive risk is launched, or low-risk is launched, or does not launch; And the judgement multistage force-limiting device of seat belt system is, the triggering rank of preloader, the passenger who realizes different passenger type, different sitting postures all can be effectively protected.
Seat is taken to trace and carry out real-time collection, while can registration of vehicle bumping, the real time kinematics track of passenger's shank, hip, thus passenger's athletic posture is reconstructed and is verified.
Beneficial effect of the present invention is as follows: adopt switch arrays as survey sensor, cost is low, and the life-span is long; Armchair structure is not needed to make any change, and quick and easy for installation, range of use is extensive, and can be used as the real-time recorder of passenger's hip motion.
Accompanying drawing explanation
Fig. 1 is passenger type and sitting posture means of identification arrangement structure schematic diagram;
Fig. 2 is for taking trace metering circuit figure;
Fig. 3 is trace measurement mechanism composition diagram;
Fig. 4 takes trace schematic diagram on the normal seating position Chain cushion of different statures;
Fig. 5 is passenger and sitting posture recognition system diagram of circuit;
Fig. 6 is that 5,50,95 hundredths are taken activation unit, trace rear portion scope;
Fig. 7 is activation unit, the trace rear portion scope of taking on 6 years old children's cushion.
In figure, 1, mounting bracket before seat, 2, cushion frame, 3, sitting basin of seat, 4, cushion foam, 5, cushion parcel cloth, 6, Chain cushion trace testing cushion, 7, cushion flank, 8, backrest parcel cloth, 9, backrest flank, 10, backrest foam, 11, back of seat trace testing cushion, 12, seat lower guideway, 13, headrest, 14, mounting bracket after seat, 15, power lead, 16, upper resistance, 17, line, 18, alignment, 19, diaphragm switch sensor, 20, Chain cushion outline line, 21, 5 hundredths passenger riding traces, 22, 50 hundredths passenger riding traces, 23, 95 hundredths passenger riding traces.
The specific embodiment
With reference to accompanying drawing, in conjunction with instantiation, the present invention is described: the layout of passenger type and sitting posture means of identification as shown in Figure 1, the typical structure of seat by seat before mounting bracket 1, cushion frame 2, sitting basin of seat 3, cushion foam 4, cushion parcel cloth 5, cushion flank 7, backrest parcel cloth 8, backrest flank 9, backrest foam 10, seat lower guideway 12, rest the head on 13, mounting bracket 14 forms after seat.Trace measurement module placement location is wherein shown in Chain cushion trace testing cushion 6 and the back of seat trace testing cushion 11 in Fig. 1, this trace testing cushion forms sensor array as shown in Figure 2 by diaphragm switch sensor, sensor array consist of power lead 15, upper resistance 16, line 17, alignment 18, diaphragm switch sensor 19.The trace of take on cushion is main distinguishing rule, judgement passenger's type, and the trace on backrest, for auxiliary distinguishing rule, is judged and is taken attitude and the situation of offing normal.
Control signal is divided into line 17 and 18 liang of groups of alignment, and sensor 19 is arranged on the point of crossing of line 17 and alignment 18, and when a point of crossing has pressure-acting, line 17 and alignment 18 are connected.The delivery port of line 17 and micro controller system is connected, alignment 18 is connected to the input port of micro controller system, micro controller system circulation is to mouth output low level signal, each is constantly set to low level by one of line 17, other line 17 output high level, detect the input of alignment 18 simultaneously, which sensor of condition discrimination monitoring by line 17 outputs and alignment 18 is pressed, for example, when first line output low level, if monitor first alignment, be input as low level, the sensor that can judge the first row first row is depressed, can monitor the state of sensor array in this way, thereby form passenger's the trace of taking.
Trace measurement mechanism forms as shown in Figure 3, configuration switch, sensor array, line output interface, alignment input interface, ECU, eeprom memory, judged result output interface, consists of.
According to dissimilar passenger, take the feature difference of trace, as shown in Figure 4, can form the different traces of taking, outline line 20,5 hundredths passenger riding trace 21,50 hundredths passenger riding trace 22, the 95 hundredths passenger riding traces 23 of Chain cushion.According to taking the difference of trace and adopting specific identification process and method, as shown in Figure 5, can carry out passenger type and take the identification of attitude.
Embodiment:
The trace testing cushion 6 of placing on Chain cushion is the diaphragm switch sensor array of 20 row * 25 row, wherein in each grid, place a diaphragm switch, the switch of its activation is to take the middle part of trace, according to the trace in cushion, be U-shaped, therefore and the characteristic line at trace rear portion is circular arc type, judge that on seat, take is passenger.
As shown in Figure 6, from last activation row numbers 2, be accumulated to row numbers 9, account for whole trace testing cushion length 32%, the diaphragm switch quantity that its accumulative total activates and the ratio of this region diaphragm switch sum, trace rear portion is as shown in Figure 6 a, its ratio is 60.5%, meets 5 hundredths occupants; As shown in Figure 6 b, its ratio is 66.5% at trace rear portion, meets 50 hundredths occupants; Trace rear portion is as shown in Fig. 6 c, and its ratio is 79.0%, meets 95 hundredths occupants; And the last row number that activate are 2, therefore judge and normally take attitude, and the situation of not offing normal occurs.
As shown in Figure 7a, the diaphragm switch quantity that its accumulative total activates and the ratio of this region diaphragm switch sum, be 34%, meets 6 years old children passenger's area division; Shown in Fig. 7 b, the row number that finally activate are greater than half of total columns 25, are judged to be 6 years old children and off normal and take state, and safety air bag low-risk is launched or do not launched.
Claims (1)
1. passenger type and the sitting posture recognition methods based on taking trace, it is characterized in that, micro controller system is by the on-off signal on survey sensor array, obtain the lattice information of sensor array, and and memory device in pre-stored all kinds of passengers' typical lattice information compare, and identify the passenger type that approaches this dot matrix most; Concrete steps are:
A, micro controller system circulate to line output low level signal by delivery port, when sensor pressurized, produce signal, micro controller system is accepted the signal of sensor array by alignment input interface, if the element of a matrix of sensor array signal formation is 1 o'clock entirely, judge on seat without passenger;
B, when the element of a matrix of sensor array signal formation is not 1 entirely, the imprinted matrix that micro controller system forms sensor array carries out image recognition, element of a matrix is 0 formed trace image while being U-shaped, judges on seat it is passenger, otherwise is general object on seat;
C, when B step recognition result is general object, sensor array is taken to trace root characteristic curve and carries out feature identification; On identification seat, whether be further passenger, trace root characteristic curve be shaped as circular arc type, be judged to be passenger, otherwise be general object on seat; Whether, when the sitting posture of seated passenger is the abnomal condition of offing normal, the trace image on cushion is non-U-shaped, by being passenger on the shape recognition seat of trace root characteristic curve;
When D, result are passenger, identification passenger type; Calculate trace image rear portion and account in whole testing cushion length 15-35% area division, the number of sensors that accumulative total activates and the ratio of this area sensor total quantity, when this ratio >=75%, be judged to be the above passenger of 95 hundredths; When this ratio is when 64%-70% is interval, be judged to be 50 hundredths passengers; When this ratio is when 56%-62% is interval, be judged to be 5 hundredths women passengers; When this ratio is when 30%-38% is interval, be judged to be 6 years old children; When this ratio is ≤25% time, be judged to be 3 years old and following children, in the time of outside this ratio is between above-mentioned given area, adopt interpolation method judgement;
E, according to the row number at the sensor place of activating from seat rear in sensor array, in conjunction with the sensor on backrest, whether activate, judge occupant's the situation of offing normal of taking attitude and occupant; Backrest upper sensor activates, occupant to take attitude normal, safety air bag adopts excessive risk to launch strategy; The passenger type identifying in step D is that 5 hundredths are when following, and the sensor on backrest does not activate, and the row number that cushion activates from seat rear are greater than a half of total row number, that judges occupant takes attitude as the situation of offing normal, and safety air bag adopts low-risk to launch or do not launch strategy.
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Families Citing this family (12)
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| US9889809B2 (en) * | 2015-03-06 | 2018-02-13 | Ford Global Technologies, Llc | Vehicle seat thermistor for classifying seat occupant type |
| CN106143380A (en) * | 2015-03-27 | 2016-11-23 | 长城汽车股份有限公司 | The airbag deployment control system of a kind of automobile, gas-bag system and automobile |
| CN109421641A (en) * | 2017-08-28 | 2019-03-05 | 长城汽车股份有限公司 | Vehicle airbag control system and method |
| CN107625344A (en) * | 2017-11-02 | 2018-01-26 | 厦门锦裕龙智能科技有限公司 | A kind of Intelligent seat with sitting posture adjustment function |
| CN108394374A (en) * | 2018-04-26 | 2018-08-14 | 奇瑞汽车股份有限公司 | Guard method, device and computer readable storage medium by bus |
| CN109512188B (en) * | 2019-01-04 | 2021-11-16 | 北京环境特性研究所 | Sitting posture detection method and device and seat |
| CN110171383B (en) * | 2019-06-05 | 2020-06-26 | 辽宁尚泽电子科技有限公司 | Multistage control system and method for automobile safety airbag |
| CN111243214A (en) * | 2020-01-19 | 2020-06-05 | 佛山科学技术学院 | Industrial machine room fire monitoring system and method based on machine learning |
| CN111251950B (en) * | 2020-02-13 | 2022-07-19 | 延锋汽车饰件系统有限公司 | Occupant classification protection method, system, device, and computer-readable storage medium |
| CN117601793A (en) * | 2020-04-13 | 2024-02-27 | 武汉路特斯汽车有限公司 | Occupant protection method, device, system, terminal and storage medium |
| CN113650532A (en) * | 2021-09-13 | 2021-11-16 | 白长城 | Automobile driver and passenger sitting posture monitoring system |
| CN116039498B (en) * | 2023-03-31 | 2023-06-06 | 深圳曦华科技有限公司 | Method and device for processing multi-region perception information by domain controller |
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| DE10239604A1 (en) * | 2002-04-19 | 2003-11-13 | Visual Analysis Ag | Seat occupation detection method for vehicle passenger seat identifying seated person or object for corresponding control of airbag device |
| JP5008975B2 (en) * | 2003-06-23 | 2012-08-22 | アイイーイー インターナショナル エレクトロニクス アンド エンジニアリング エス．エイ． | Seat occupancy sensor |
| JP4430381B2 (en) * | 2003-11-20 | 2010-03-10 | 本田技研工業株式会社 | Occupant detection device |
| JP2008002838A (en) * | 2006-06-20 | 2008-01-10 | Takata Corp | System for detecting vehicle occupant, actuator control system, and vehicle |
| KR100856987B1 (en) * | 2007-09-18 | 2008-09-04 | 현대모비스 주식회사 | Apparatus for differentiating passengers |
| DE102008053626B4 (en) * | 2007-10-31 | 2016-09-08 | Denso Corporation | Seat sensor |
| CN101318493A (en) * | 2008-05-29 | 2008-12-10 | 吉林大学 | Recognition method for physical sign of vehicle occupant |
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