EP3010764A1 - Verfahren und vorrichtung zum bestimmen einer kollisionscharakteristik einer kollision eines fahrzeugs - Google Patents
Verfahren und vorrichtung zum bestimmen einer kollisionscharakteristik einer kollision eines fahrzeugsInfo
- Publication number
- EP3010764A1 EP3010764A1 EP14731612.9A EP14731612A EP3010764A1 EP 3010764 A1 EP3010764 A1 EP 3010764A1 EP 14731612 A EP14731612 A EP 14731612A EP 3010764 A1 EP3010764 A1 EP 3010764A1
- Authority
- EP
- European Patent Office
- Prior art keywords
- sensor signal
- collision
- signal
- time
- vehicle
- 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.)
- Withdrawn
Links
Classifications
-
- G—PHYSICS
- G07—CHECKING-DEVICES
- G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
- G07C5/00—Registering or indicating the working of vehicles
- G07C5/08—Registering or indicating performance data other than driving, working, idle, or waiting time, with or without registering driving, working, idle or waiting time
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60R—VEHICLES, VEHICLE FITTINGS, OR VEHICLE PARTS, NOT OTHERWISE PROVIDED FOR
- B60R21/00—Arrangements or fittings on vehicles for protecting or preventing injuries to occupants or pedestrians in case of accidents or other traffic risks
- B60R21/01—Electrical circuits for triggering passive safety arrangements, e.g. airbags, safety belt tighteners, in case of vehicle accidents or impending vehicle accidents
- B60R21/013—Electrical circuits for triggering passive safety arrangements, e.g. airbags, safety belt tighteners, in case of vehicle accidents or impending vehicle accidents including means for detecting collisions, impending collisions or roll-over
- B60R21/0136—Electrical circuits for triggering passive safety arrangements, e.g. airbags, safety belt tighteners, in case of vehicle accidents or impending vehicle accidents including means for detecting collisions, impending collisions or roll-over responsive to actual contact with an obstacle, e.g. to vehicle deformation, bumper displacement or bumper velocity relative to the vehicle
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60R—VEHICLES, VEHICLE FITTINGS, OR VEHICLE PARTS, NOT OTHERWISE PROVIDED FOR
- B60R21/00—Arrangements or fittings on vehicles for protecting or preventing injuries to occupants or pedestrians in case of accidents or other traffic risks
- B60R21/01—Electrical circuits for triggering passive safety arrangements, e.g. airbags, safety belt tighteners, in case of vehicle accidents or impending vehicle accidents
- B60R2021/01204—Actuation parameters of safety arrangents
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60R—VEHICLES, VEHICLE FITTINGS, OR VEHICLE PARTS, NOT OTHERWISE PROVIDED FOR
- B60R21/00—Arrangements or fittings on vehicles for protecting or preventing injuries to occupants or pedestrians in case of accidents or other traffic risks
- B60R21/01—Electrical circuits for triggering passive safety arrangements, e.g. airbags, safety belt tighteners, in case of vehicle accidents or impending vehicle accidents
- B60R21/013—Electrical circuits for triggering passive safety arrangements, e.g. airbags, safety belt tighteners, in case of vehicle accidents or impending vehicle accidents including means for detecting collisions, impending collisions or roll-over
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60R—VEHICLES, VEHICLE FITTINGS, OR VEHICLE PARTS, NOT OTHERWISE PROVIDED FOR
- B60R21/00—Arrangements or fittings on vehicles for protecting or preventing injuries to occupants or pedestrians in case of accidents or other traffic risks
- B60R21/01—Electrical circuits for triggering passive safety arrangements, e.g. airbags, safety belt tighteners, in case of vehicle accidents or impending vehicle accidents
- B60R21/013—Electrical circuits for triggering passive safety arrangements, e.g. airbags, safety belt tighteners, in case of vehicle accidents or impending vehicle accidents including means for detecting collisions, impending collisions or roll-over
- B60R21/0132—Electrical circuits for triggering passive safety arrangements, e.g. airbags, safety belt tighteners, in case of vehicle accidents or impending vehicle accidents including means for detecting collisions, impending collisions or roll-over responsive to vehicle motion parameters, e.g. to vehicle longitudinal or transversal deceleration or speed value
- B60R21/0133—Electrical circuits for triggering passive safety arrangements, e.g. airbags, safety belt tighteners, in case of vehicle accidents or impending vehicle accidents including means for detecting collisions, impending collisions or roll-over responsive to vehicle motion parameters, e.g. to vehicle longitudinal or transversal deceleration or speed value by integrating the amplitude of the input signal
Definitions
- the present invention relates to a method for determining a collision characteristic of a collision of a vehicle for triggering safety means of the vehicle, to a device for determining a collision characteristic of a collision of a vehicle for triggering safety means of the vehicle and to a corresponding computer program product.
- Detection of collisions for, for example, airbag control devices of vehicles is based on acceleration sensors. Used
- non-trigger cases use a rating of
- Signal characteristics that are stronger in a triggering case usually than in a non-triggering case in particular a strength of signals of such sensors. For example, a trend towards lighter and shorter vehicles requires a harder front structure. This increases in particular signal amplitudes of sensor signals, for example, in slow non-triggering situations against hard obstacles against fast triggering crashes against soft
- DE 101 41 886 A1 discloses a method for determining a triggering time for restraining means in a vehicle. This is done by forming two Time windows for the speed reduction in a crash determines a slope of the speed reduction in the respective time windows as well as a location of the time windows. Disclosure of the invention
- an improved method for determining a collision characteristic of a collision of a vehicle for triggering safety means of the vehicle an improved device for determining a collision characteristic of a collision of a vehicle to trigger
- a characterization of a collision of a vehicle can be realized by means of a recognition of a shape characteristic or a shape characteristic of a signal curve of a sensor signal.
- Vehicle in particular a detection of a collision type using the shape property of the collision course in the sensor signal done.
- the sensor signal, and thus the collision course can be subdivided into different phases up to the required triggering time for safety means of the vehicle.
- the shape properties can be determined.
- a collision characteristic of a collision of a vehicle for a plurality of collision scenarios to be determined accurately, accurately and reliably.
- a change in a shape or a shape characteristic of an acceleration signal course for collision characterization allows precise conclusions to be drawn about the present collision situation. This can be a
- Triggering algorithm to be optimized for each present collision type and release vehicle safety agents in a timely and robust manner.
- the characteristic properties of the different collision types can be more clearly recognizable in the shape characteristics of the signal profile than in conventional features, which are based in particular on the signal strength.
- conventional features which are based in particular on the signal strength.
- Characteristics in the sensor signal are less or less pronounced than in non-triggering collisions, for example, the shape characteristics are significantly different from those in non-trigger situations.
- An advantage of embodiments of the present invention is, especially for hard front structures, a safe, accurate and robust distinction or separation of tripping collisions and
- a triggering collision can be understood here to mean a collision with a high degree of severity, which justifies the triggering of safety means of the vehicle. Under one
- Non-triggering collision can be a collision with a low one
- Severity level that justifies no triggering of vehicle safety devices can be a physical shock with elastic and inelastic parts. A distribution and sequence of these proportions may be characteristic of each type of collision.
- Elastic components may, for example, correspond to a harmonic oscillation in the measured sensor signal or acceleration signal, while inelastic components or deformations may take the form of, for example, plateaus in the
- the vehicle may be a motor vehicle, in particular a road-bound motor vehicle, such as a passenger car
- the security means may include at least one airbag, at least one belt tensioner, an adaptive
- the triggering time may represent a point in time at which a safety device is to be triggered in order to perform a safety function of the safety device.
- the sensor signal may represent a signal provided by a sensor or provided by a sensor and preprocessed signal.
- a signal may be provided by a sensor and preprocessed by the sensor to obtain the sensor signal.
- the signal may be provided by a sensor and pre-processed by a downstream device, such as a controller, to obtain the sensor signal.
- the method may include a step of reading in the sensor signal from an interface to a collision sensor or collision-relevant sensor or from an interface to a preprocessing device.
- the vehicle may include the at least one collision sensor configured to output the signal indicative of the sensor signal
- Determining the collision characteristic can be used or that can be preprocessed to the sensor signal.
- the collision sensor may be an acceleration sensor or the like.
- the collision characteristic may include information regarding the collision type, the collision severity, and / or at least one other collision property.
- the collision characteristic is suitable to be used as a decision criterion in triggering safety means of the vehicle.
- the method may also include a step of issuing a
- Determining signal representing the collision characteristic to an interface to security means and / or a control device for
- the step of determining the sensor signal may be divided into the at least one time segment by means of fixed and additionally or alternatively variable timing.
- the at least one time segment may have a fixed or variable length. If at least two time periods are determined in the sensor signal, such may be
- Time segments have an equal or different length. Such an embodiment offers the advantage that the determination of relevant time periods can thus be carried out in a straightforward and less computationally intensive manner.
- the sensor signal may be adaptive in response to a signal property and additionally or alternatively one
- Threshold decision are divided into the at least one period. For example, a time interval change can be determined if a signal property derived from the measured sensor signal exceeds or falls below a threshold value. Such properties can z. B. the signal itself, the integrated signal, a signal gradient, a signal curvature, a relative signal rise, a turning point in the waveform and / or the like. Also, a time period change can be detected when the
- Such an embodiment offers the advantage that an event-controlled subdivision of the sensor signal can be realized, which enables a more precise determination of time sections for the step of the comparison adapted to a respective collision situation.
- the subdivision of the sensor signal or determined periods of time can advantageously map individual collision phases particularly accurately.
- the determination of the collision characteristic can be made even more accurate and accurate.
- the sensor signal can be subdivided into the at least one time segment.
- the further signal may be a signal filtered or otherwise conditioned with respect to the sensor signal, in particular also a further sensor signal, for example also from a sensor other than the sensor signal.
- the sensor signal can be subdivided into the at least one time segment as a function of at least one point of intersection of the sensor signal with the further signal.
- Embodiment offers the advantage that the determination of relevant time periods can be made particularly accurate and reliable taking into account a further signal.
- Collision characteristics can be determined safely and accurately.
- signal strengths, integrals, time durations, curvatures and / or slopes as features of the sensor signal can be compared with one another in the step of comparing.
- Such an embodiment offers the advantage that both a separation of hard tripping collisions of
- Non - trigger situations as well as a powerful detection of soft tripping collisions, in which the measured acceleration signal in the trigger-relevant time may be lower than the strong non-triggering collisions.
- the signal strength features need to be used and also an additional use of more complex signal characteristics, feature combinations or based on additional sensor features can be avoided.
- the at least one period can be subdivided into subsections depending on at least one threshold.
- the threshold value can be based on a maximum signal strength, in particular a maximum signal strength in the particular period under consideration.
- an integral of the sensor signal in a subsection and a product of a time duration of the subsection and a threshold as the features of the sensor signal may be compared with each other.
- Time diagram can be compared with each other here an integral surface and a rectangular area, which comprises at least the integral surface.
- Such an embodiment offers the advantage that essential characteristics of the deformation process of the collision can be determined particularly accurately from such surfaces and in particular from their relationships to each other.
- Several time periods can also be determined in the step of determining.
- the step of comparing features can also be determined in the step of comparing features
- a device for determining a collision characteristic of a collision of a vehicle for triggering safety means of the vehicle has the following features: a device for determining at least one destination-relevant one
- Time period of a collision of the vehicle representing
- the above-mentioned device can be used in conjunction with a
- Vehicle to trigger safety means of the vehicle to determine The device is designed to implement the steps of the method for determining in corresponding devices. Also by this embodiment of the invention in the form of a device, the object underlying the invention can be solved quickly and efficiently.
- a device can be understood as meaning an electrical device, in particular a control device, which processes sensor signals and operates in
- the device may have an interface, which may be formed in hardware and / or software.
- the interfaces can be part of a so-called system ASIC, for example, which contains a wide variety of functions of the device.
- the interfaces are their own integrated circuits or at least partially consist of discrete components.
- the interfaces may be software modules that are present, for example, on a microcontroller in addition to other software modules.
- An advantage is also a computer program product with program code, which on a machine-readable carrier such as a semiconductor memory, a
- Hard disk space or an optical memory is stored and the Carrying out an above method for determining a collision characteristic of a collision of a vehicle for triggering safety means of the vehicle is used when the program is executed on a computer or a device.
- Fig. 1 is a schematic representation of an apparatus for determining
- FIG. 2 is a flowchart of a method for determining according to an embodiment of the present invention
- Figs. 3A to 3E are sensor signal diagrams relating to the determination of time periods according to embodiments of the present invention.
- FIGS. 4A to 4D show sensor signal diagrams relating to the comparison of features according to exemplary embodiments of the present invention.
- FIG. 1 shows a schematic representation of an apparatus for determining a collision characteristic of a collision of a vehicle for triggering safety means of the vehicle according to an embodiment of the present invention. Shown are a vehicle 100, for example a collision sensor 102, a first interface 104, a second interface 106, security means 108, a device 110 for determining or a
- Determining device Determining device, a determination device 112 and a
- the apparatus 10 for determining has the
- the Device 1 10 is connected to the collision sensor 102 via the first interface 104 and to the security means 108 via the second interface 106
- the collision sensor 102 is configured to generate and provide a sensor signal.
- the sensor signal is usable to detect a collision of the
- the collision sensor 102 includes an acceleration sensor according to an embodiment of the present invention. According to another
- the collision sensor 102 has a plurality of
- Sensor elements wherein the sensor elements are formed to detect an acceleration and / or an environment of the vehicle 100. According to one exemplary embodiment, detection of front collisions in an airbag control unit takes place by means of senses in the x direction
- Acceleration sensors which are usually centrally on a center tunnel of the vehicle 100 and / or at positions on the vehicle periphery, z. B.
- the security means 108 are designed to protect occupants of the vehicle 100 and / or road users in an environment of the vehicle 100 from collision sequences.
- the security means 108 comprise at least one security device, such as
- the security means 108 has a control unit for activating or triggering the at least one
- the device 110 is part of the security means 108, in particular part of a control device for activating or triggering the at least one security device of the security means 108.
- the device 110 for determining is designed to be a
- the device 110 is configured to transmit the sensor signal from the first interface 104 to the
- the determination device 112 is designed in order to determine at least one determination-relevant period of time of the sensor signal before a triggering time for the safety means.
- Comparator 114 is configured to compare at least two features of the sensor signal in the at least one determined period of time to each other to determine the collision characteristic. Also is the
- Device 100 are designed to divert a determination signal, which represents the determined collision characteristic, to the second interface 106 to the security means 108, in particular to the control device for the security means 108.
- the security means 108 in particular the control unit of the security means 108, are designed to trigger the security means 108 in response to the determination signal from the device 110.
- the determination device 1 is 12
- the determination device 1 is 12
- the detection means 112 is formed to divide the sensor signal depending on a comparison of the sensor signal with another signal in the at least one time period.
- the comparison device 1 14 is designed to compare shape-dependent and additionally or alternatively time-dependent features of the sensor signal with each other.
- the comparison device 1 14 is designed to compare shape-dependent and additionally or alternatively time-dependent features of the sensor signal with each other.
- Comparator 114 is designed to provide signal strengths, integrals, durations, curvatures and, additionally or alternatively, slopes as features of the invention
- the comparison device 1 14 is designed to subdivide the at least one time segment into subsections as a function of at least one threshold value. In this case, features of the sensor signal from at least one
- Comparing means 1 14 formed to thereby an integral of the sensor signal in a subsection and a product of a time duration of the subsection and a threshold value as the characteristics of the sensor signal to each other.
- the determination device 1 is 12
- Detecting sensor signal, and the comparison device 1 14 is formed to compare features from different periods of the sensor signal with each other.
- FIG. 2 shows a flowchart of a method 200 for determining a collision characteristic of a collision of a vehicle for triggering safety means of the vehicle according to an embodiment of the present invention.
- the method 200 is in connection with a
- Determination device such as the determination device or device for
- the method 200 has a step 210 of determining at least one destination-relevant one
- Time period of a collision of the vehicle representing
- the method 200 includes a step 220 of comparing at least two
- Characteristics of the sensor signal in the at least one time period with each other to determine the collision characteristic are
- the sensor signal representing the collision course is subdivided into at least one time segment or at least one phase up to the required triggering time of the security means. This is done for example by means of the detection device 1 12 of
- FIGS. 3A to 3E show sensor signal diagrams relating to the determination of time periods according to embodiments of the present invention. The determination of the time intervals is carried out using the
- FIG. 3A shows a sensor signal diagram regarding the determination of FIG
- the time t is plotted on the abscissa axis of the sensor signal diagram and an acceleration a is plotted on the ordinate axis of the sensor signal diagram, which is alternatively also referred to as Acc (Accelaration for
- the acceleration may be the sensor reading of the sensor 102 or a pre-processed quantity derived therefrom, e.g. a filtered or integrated
- the course or the sensor signal 300 in this case represents an acceleration of a vehicle during a collision of the vehicle in different collision phases. Furthermore, five time sections Et and five partial integrals or partial integral areas dv1, dv2, dv3, dv4 and dv5 are shown by way of example. In this case, the sensor signal 300 is subdivided by way of example into the five time intervals Et. Thus, owing to the subdivision into the exemplary five time intervals Et, the five partial integrals dv1, dv2, dv3, dv4 and dv5 between the sensor signal 300 and the abscissa axis of the
- FIG. 3A shows a subdivision of the sensor signal into temporally separated, by way of example equidistant, periods of time Et.
- the sensor signal 300 is subdivided into time segments or phases of the same duration, for example 8 ms duration.
- a division into variable time windows, z. B. a phase change after 5ms, 8ms, 12 ms, 18ms, etc. is conceivable.
- Collision phase is, for example, the respective partial integral or a partial area between the sensor signal 300 and the abscissa axis.
- FIG. 3B shows a sensor signal diagram regarding the determination of FIG
- Time segments according to an embodiment of the present invention.
- the time t is plotted and on the ordinate axis of the sensor signal diagram is a possibly.
- preprocessed acceleration as a change in velocity dv plotted on the sensor signal diagram is a curve of the speed change dv over the time t, wherein the course of a graphical representation of a sensor signal 300 corresponds, such as the sensor signal of Figures 1 and 2.
- the curve or the sensor signal 300 represents Here, a change in speed of a vehicle in a collision of the
- Sensor signal diagram example divided into the five speed differences ⁇ due to the division into the exemplary five speed differences ⁇ , the five time intervals t1, t2, t3, t4 and t5 result on the abscissa axis of the sensor signal diagram.
- an adaptive subdivision of the sensor signal 300 results into different time segments t1, t2, t3, t4 and t5 or phases, which are distinguished by the example equidistant thresholds on the velocity differences ⁇ as a derived signal feature, e.g. B. integral, are defined.
- a measure for characterizing each time interval t1, t2, t3, t4 and t5 of the sensor signal 300 is, for example, a time duration of the respective time segment.
- the sequence of durations of Time intervals t1, t2, t3, t4 and t5 allow conclusions about the shape of the
- FIG. 3C shows a sensor signal diagram regarding the determination of FIG
- the time t is plotted and on the ordinate axis of the sensor signal diagram is a possibly.
- preprocessed acceleration a is plotted.
- a profile of the acceleration a over the time t is shown, the curve corresponding to a graphical representation of a sensor signal 300, such as
- the course or the sensor signal 300 in this case represents an acceleration of a vehicle in a collision of the vehicle in different collision phases. Furthermore, five time segments t1, t2, t3, t4 and t5 and five partial integrals or dv1, dv2, dv3, dv4 and dv5 are shown by way of example. Furthermore, a
- Reference threshold 310 shown as a parallel to the abscissa axis.
- the sensor signal 300 is using intersections of the
- the five partial integrals dv1, dv2, dv3, dv4 and dv5 result between the sensor signal 300 and the abscissa axis of the sensor signal diagram.
- an adaptive division of the center signal 300 into different time segments t1, t2, t3, t4 and t5 is obtained by exceeding and falling short of the reference threshold 310 to a feature which is, for example, an acceleration signal or filtered
- Acceleration signal is to be specified.
- Measurements for characterizing each time interval t1, t2, t3, t4 and t5 are in particular a time duration or a partial integral of the respective time period.
- a sequence of the time periods of the time intervals t1, t2, t3, t4 and t5 or a sequence of the partial integrals dv1, dv2, dv3, dv4 and dv5 makes it possible to draw conclusions about a form of the collision course and thus of a collision type.
- FIGS. 3B and 3C exemplary embodiments for an event-controlled or adaptive classification of the transmission signal 300 into different time segments t1, t2, t3, t4 and t5 or phases are shown. In other words, this is an event-driven or adaptive determination of relevant for determining a collision characteristic
- Periods t1, t2, t3, t4 and t5. For example, a
- Time interval change or phase change be determined when a signal characteristic derived from the measured sensor signal 300 exceeds or falls below certain threshold values.
- a signal feature can, for. B. the signal itself, the integrated signal, a signal gradient, a
- a time interval change is defined by an inflection point or zero crossing of the second derivative in the signal curve of the sensor signal 300.
- FIG. 3D shows a sensor signal diagram regarding the determination of FIG
- Time segments according to an embodiment of the present invention.
- the time t is plotted and on the ordinate axis of the sensor signal diagram is a possibly.
- preprocessed acceleration a is plotted.
- a profile of the acceleration a over the time t is shown, the curve corresponding to a graphical representation of a sensor signal 300, such as
- the course or the sensor signal 300 in this case represents an acceleration of a vehicle in a collision of the vehicle in different collision phases. Furthermore, four time segments t1, t2, t3 and t4 and four partial integrals or
- Partial integral areas dv1, dv2, dv3 and dv4 are shown. Further, another signal 320 is shown. This signal may either be a signal from another sensor or it may be a feature derived from the signal 300 by further preprocessing, e.g. a more filtered signal 300.
- a change from one time period to a next time period thus takes place, for example, at each intersection point of the sensor signal 300 with the further signal 320.
- the four partial integrals dv1 result, dv2, dv3 and dv4 between the sensor signal 300 and the abscissa axis of the sensor signal diagram.
- FIG. 3D shows an adaptive division of the sensor signal 300 into different time segments t1, t2, t3 and t4.
- the time intervals t1, t2, t3 and t4 are defined here, for example, due to intersections by superimposing or crossing over two differently filtered signals of the sensor signal 300 and the further signal 320.
- Dimensions for characterizing each time interval t1, t2, t3 and t4 are z , B. a period of time or a partial integral of the respective period. According to that shown in Fig. 3D
- FIG. 3E shows a sensor signal diagram regarding the determination of FIG
- Time segments according to an embodiment of the present invention.
- the time t is plotted on the abscissa axis of the sensor signal diagram and an acceleration a is plotted on the ordinate axis of the sensor signal diagram.
- a curve of the acceleration a over the time t is shown, wherein the course of a graphical representation of a sensor signal 300 corresponds, such as the sensor signal of Figures 1 and 2.
- the course or the sensor signal 300 in this case represents an acceleration of a vehicle in a collision of the vehicle in different collision phases.
- two time segments t1 and t2 as well as two partial integrals or partial integral surfaces dv1 and dv2 are shown by way of example.
- the sensor signal 300 is subdivided by way of example into the two time intervals t1 and t2.
- the sensor signal 300 is subdivided into the time segments t1 and t2 by means of two expected corridors 330 and 340, for example
- Expectation corridor 330, 340 is, for example, by extrapolation of a average or maximum gradient of the sensor signal 300 defined.
- the first time period t1 ends and another expectation corridor 340 is defined.
- Period t2 Dimensions for the characterization of each period t1 and t2 are z. B. a period of time or a partial integral of the respective period. In other words, there is thus a subdivision of the sensor signal 300 in FIG.
- Periods or crash phases as soon as the signal waveform of the sensor signal 300 leaves or reaches predetermined signal ranges or expectation corridors 330, 340 again. For example, will be an average or maximum
- equivalent features M can now be detected. These are, for example, a maximum or minimum signal value, an integrated signal (dv1, dv2, dv3, ...), a time duration (t1, t2, t3, ...), an averaged signal value of each time period, etc.
- each time segment i (M1, M2, M3,...) are now compared with one another, for example, allowing conclusions to be drawn about a rough shape of the signal curve of the sensor signal 300 and thus the determination of the collision characteristic
- a ratio of the integral in a second time period to the integral in a first time period, a ratio of the integral in FIG a third time period to the integral in the second time period, etc. are evaluated. Such conditions allow statements about whether a deceleration in the collision course is stronger or weaker. In the latter case, there is a high probability of an abuse situation or
- a ratio can be different Rate species, eg. B. by querying a corresponding quotient against a threshold or a threshold Thd, z. M2 / M1> Thd, ie, whether the quotient is greater than the threshold value, or by avoiding division in the form M2> M1 * Thd, or by generalization in the form M2> Thd (M 1), at which the threshold value is configured as a function of M1, etc.
- a comparison of features or a shape evaluation is provided within a time segment of the sensor signal 300 or a crash phase.
- each individual time period is individually evaluated with respect to features in terms of its shape in order to determine the collision characteristic. For example, they are
- the shape of the sensor signal 300 in this period is determined retroactively at the end of a period of time.
- FIGS. 4A to 4D show sensor signal diagrams relating to FIG.
- FIG. 4A shows a sensor signal diagram regarding feature comparison according to an embodiment of the present invention.
- FIG. The time t is plotted on the abscissa axis of the sensor signal diagram and an acceleration a is plotted on the ordinate axis of the sensor signal diagram.
- a curve of the acceleration a is shown over the time t, the curve corresponding to a graphical representation of a sensor signal 300, such as the sensor signal from FIGS. 1 and 2 or FIGS. 3A to 3E.
- the course or the sensor signal 300 in this case represents an acceleration of a vehicle during a collision of the vehicle in different collision phases.
- Thresholds 410, 420 and 430 as parallel lines to the abscissa axis of the sensor signal diagram.
- the sensor signal 300 is subdivided in time into the exemplary three subsections t1-1, t1 -2 and t1 -3 in order to compare features.
- Threshold value 430 corresponds to a maximum value of sensor signal 300 in the sensor signal diagram, in particular in the time range of sensor signal 300 shown in FIG. 4A.
- third threshold value 430 corresponds to a maximum acceleration value of a collision profile in the time range of sensor signal 300 shown in FIG. 4A
- threshold value 410 is 25 percent of the maximum value of sensor signal 300 or of third threshold value 430.
- the second threshold value 420 is, for example, 75
- Threshold 430 the sensor signal 300 for comparing features using the thresholds 410, 420, and 430 in FIG.
- Sensor signal diagram also divided in terms of acceleration values.
- FIG. 4A shows a phase of the sensor signal 300 which can be evaluated retroactively at its end in the event of a collision.
- the signal profile of the sensor signal 300 is thus determined by establishing relative threshold values in the
- Subsection t1-1 corresponds, for example, to a start of the collision until, for example, 25 percent of the maximum value of the acceleration or of the sensor signal 300 reached in FIG. 4A has been reached.
- the first subsection t1 -describes, for example, a deformation of soft components, such as, for example. B. a bumper foam of a vehicle.
- a second subsection t1 -2 describes the signal increase from 25 percent to 75 percent of the maximum reached. This represents, for example, a force level increase in an elastic deformation of hard vehicle structures, such. B. a bumper cross member.
- a third subsection t1-3 describes an area around the signal maximum, exceeding the second threshold value 420 in one
- the durations of the subsections are determined.
- a division into a different number of thresholds is conceivable, for example, four or five threshold values, for. With values of 15 percent, 30 percent, 70 percent, and 85 percent of the signal maximum.
- the areas A1, A2, and A3 represent respective areas outside a range between the sensor signal 300 and the abscissa axis of the sensor signal diagram.
- the area A1 corresponds to a range between the sensor signal 300 and the first threshold 410 in the first subsection t1-1.
- the area A2 corresponds to a region between the sensor signal 300 and the second threshold 420 in the second subsection t1 -2.
- the area A3 corresponds to a range between the sensor signal 300 and the third threshold value 430 in the third subsection t1 -3.
- the areas V1, V2a, V2b, V3a, V3b and V3c represent partial integrals of the sensor signal 300 and thus areas within the range between the sensor signal 300 and the abscissa axis of the sensor signal diagram.
- the area V1 corresponds to the integral or partial integral of the sensor signal 300, d. H. a range between the sensor signal 300 and the abscissa axis of the sensor signal diagram, in the first subsection t1 -1.
- V2b correspond to the integral or partial integral of the sensor signal 300, d. H. a range between the sensor signal 300 and the abscissa axis of the sensor signal diagram, in the second subsection t1 -2.
- the area V2a corresponds to a rectangular area between the abscissa axis of
- Subsection t1-2 wherein the area V2b corresponds to an area between the first threshold 410 and the sensor signal 300 in the second subsection t1 -2.
- the areas V3a, V3b and V3c correspond to the integral or
- FIG. 4A thus shows a division of a time or phase of an energy reduction in a collision into subphases and segment surfaces derived therefrom.
- Essential properties of the deformation process of the collision can now be deduced from the durations of the subsections and in particular from their relationships to one another.
- durations of the plastic subsection t1 -3 and the elastic subsection t1 -2 it can be concluded, for example, whether a collision process is predominantly plastic or elastic. Suitable comparisons of durations are z. For example, the ratio of t1 -3 to t1 -2 or the ratio of the sum of t1 -2 and t1 -3 to t1 -2. Further, a collision process is predominantly plastic or elastic. Suitable comparisons of durations are z. For example, the ratio of t1 -3 to t1 -2 or the ratio of the sum of t1 -2 and t1 -3 to t1 -2. Further, a collision process is predominantly plastic or elastic. Suitable comparisons of durations are z. For example, the ratio of t1 -3 to t1 -2 or the ratio of the sum of t1 -2 and t1 -3 to t1 -2. Further, a collision process is predominantly plastic or elastic. Suitable comparisons of durations are z. For example, the ratio of t1
- Ratio of the time periods from t1 -2 to t1 -1 For example, a measure of a ratio of the deformation paths with increasing force level, here t1 -2, etc
- areas below or above that of the center signal 300 are determined and used to compare features.
- An integral or speed reduction during the first subsection t1-1 is designated V1.
- Figures 4B and 4C illustrate a separate one
- FIG. 4B corresponds to the illustration from FIG. 4A with the FIG.
- the collision characteristic considered the ratio A2 / R2b or V2b / R2b.
- the total integral V2 becomes another one
- Rectangular surface which results from the areas A2, V2b and V2a, set in proportion. These are mathematically equivalent variants.
- FIG. 4C corresponds to the illustration from FIG. 4A with the FIG.
- This rectangular area is also referred to as R3c. For example, to compare features or
- Rectangular area which results from the areas A3, V3c, V3b and V3a, put into proportion.
- FIG. 4D corresponds to the illustration from FIG. 4A with the FIG
- a combination surface of the integral surfaces V2b, V3b and V3c is set in relation to a rectangular area bounded by the third threshold value 430 and the first threshold value 410 and completely overlapping the second subsection t1 - 2 and the third subsection t1 -3.
- the third threshold value 430 and the first threshold value 410 is set in relation to a rectangular area bounded by the third threshold value 430 and the first threshold value 410 and completely overlapping the second subsection t1 - 2 and the third subsection t1 -3.
- Threshold 430 and the abscissa axis is limited and extends completely over the second subsection t1-2 and the third subsection t1 -3.
- Threshold 430 and the abscissa axis is limited and extends completely over the second subsection t1-2 and the third subsection t1 -3.
- a combined form of the second subsection t1-2 and the third subsection t1 -3 is limited and extends completely over the second subsection t1-2 and the third subsection t1 -3.
- Subsection t1-2 and the third subsection t1 -3 evaluated by a combination surface of the integral surfaces V2b, V3b and V3c is set in relation to yet another rectangular area, that of the third
- Threshold 430 and the first threshold 410 is limited and extends completely over the second subsection t1 -2 and the third subsection t1-3.
- This may be with respect to the triggering of the security means 108 z. B. by influencing a threshold level, "AddOn concept", or by switching to other, adapted to a given collision type
- Tripping conditions "path concept" done.
- the embodiments described and shown in the figures are chosen only by way of example. Different embodiments may be combined together or in relation to individual features. Also, an embodiment can be supplemented by features of another embodiment. Furthermore, method steps can be repeated and executed in a different order than in the order described.
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Abstract
Description
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Applications Claiming Priority (2)
| Application Number | Priority Date | Filing Date | Title |
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| DE102013211354.4A DE102013211354B4 (de) | 2013-06-18 | 2013-06-18 | Verfahren und Vorrichtung zum Bestimmen einer Kollisionscharakteristik einer Kollision eines Fahrzeugs |
| PCT/EP2014/062719 WO2014202607A1 (de) | 2013-06-18 | 2014-06-17 | Verfahren und vorrichtung zum bestimmen einer kollisionscharakteristik einer kollision eines fahrzeugs |
Publications (1)
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| EP3010764A1 true EP3010764A1 (de) | 2016-04-27 |
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| EP (1) | EP3010764A1 (de) |
| CN (1) | CN105307903B (de) |
| DE (1) | DE102013211354B4 (de) |
| WO (1) | WO2014202607A1 (de) |
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| JP2017144747A (ja) * | 2016-02-15 | 2017-08-24 | トヨタ自動車株式会社 | 乗員保護装置の起動制御装置 |
| CN106093450B (zh) * | 2016-05-27 | 2019-12-24 | 大连楼兰科技股份有限公司 | 基于波形斜率的车辆低速碰撞信号特征提取方法 |
| DE102016211386A1 (de) * | 2016-06-14 | 2017-12-14 | Robert Bosch Gmbh | Verfahren zum Betreiben einer Recheneinheit |
| DE102018200419A1 (de) | 2017-02-02 | 2018-08-02 | Robert Bosch Gmbh | Verfahren zur Bestimmung eines Unfallzeitparameters zur Auswertung einer Unfallsituation in einem Kraftfahrzeug |
| JP6880491B2 (ja) * | 2017-03-16 | 2021-06-02 | トヨタ自動車株式会社 | 衝突検出装置 |
| DE102017217015A1 (de) * | 2017-09-26 | 2019-03-28 | Robert Bosch Gmbh | Verfahren zur Erzeugung eines Auslösesignals zum Auslösen mindestens einer Sicherheitsfunktion eines Kraftfahrzeugs |
| DE102017220910A1 (de) * | 2017-11-23 | 2019-05-23 | Robert Bosch Gmbh | Verfahren und Vorrichtung zum Erkennen einer Kollision eines Fahrzeugs |
| CN108564681B (zh) * | 2018-04-17 | 2021-12-31 | 百度在线网络技术(北京)有限公司 | 数据处理方法、装置、计算设备、程序产品和存储介质 |
| ES2736901A1 (es) | 2018-06-29 | 2020-01-08 | Geotab Inc | Caracterización de una colisión de vehículo |
| DE102018214674A1 (de) | 2018-06-29 | 2020-01-02 | Volkswagen Aktiengesellschaft | Verfahren und Vorrichtung zur Unfallfrüherkennung |
| US11862022B2 (en) | 2021-02-03 | 2024-01-02 | Geotab Inc. | Methods for characterizing a vehicle collision |
| CN115257616A (zh) * | 2021-04-30 | 2022-11-01 | 华为技术有限公司 | 一种调节安全气囊触发条件的方法及设备 |
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Also Published As
| Publication number | Publication date |
|---|---|
| US20160140781A1 (en) | 2016-05-19 |
| CN105307903A (zh) | 2016-02-03 |
| CN105307903B (zh) | 2017-10-27 |
| US10186090B2 (en) | 2019-01-22 |
| DE102013211354B4 (de) | 2024-01-25 |
| WO2014202607A1 (de) | 2014-12-24 |
| DE102013211354A1 (de) | 2014-12-18 |
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