CN114426004B - Collision object type identification method and device - Google Patents
Collision object type identification method and device Download PDFInfo
- Publication number
- CN114426004B CN114426004B CN202011179526.2A CN202011179526A CN114426004B CN 114426004 B CN114426004 B CN 114426004B CN 202011179526 A CN202011179526 A CN 202011179526A CN 114426004 B CN114426004 B CN 114426004B
- Authority
- CN
- China
- Prior art keywords
- elastic wave
- wave signal
- frequency spectrum
- frequency
- collision object
- 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.)
- Active
Links
- 238000000034 method Methods 0.000 title claims abstract description 37
- 238000001228 spectrum Methods 0.000 claims description 62
- 239000000463 material Substances 0.000 claims description 47
- 238000005070 sampling Methods 0.000 claims description 5
- 230000008569 process Effects 0.000 description 8
- 238000010586 diagram Methods 0.000 description 6
- 238000012360 testing method Methods 0.000 description 4
- 230000001133 acceleration Effects 0.000 description 3
- 238000004880 explosion Methods 0.000 description 3
- 230000008859 change Effects 0.000 description 2
- 238000004891 communication Methods 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 230000006870 function Effects 0.000 description 2
- 230000003044 adaptive effect Effects 0.000 description 1
- 238000013459 approach Methods 0.000 description 1
- 230000006399 behavior Effects 0.000 description 1
- -1 for example Substances 0.000 description 1
- 230000003116 impacting effect Effects 0.000 description 1
- 238000012423 maintenance Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 230000007723 transport mechanism Effects 0.000 description 1
- 230000001960 triggered effect Effects 0.000 description 1
Images
Classifications
-
- 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
- B60R21/0136—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
- B60R21/34—Protecting non-occupants of a vehicle, e.g. pedestrians
- B60R21/38—Protecting non-occupants of a vehicle, e.g. pedestrians using means for lifting bonnets
Landscapes
- Engineering & Computer Science (AREA)
- Mechanical Engineering (AREA)
- Measurement Of Mechanical Vibrations Or Ultrasonic Waves (AREA)
- Radar Systems Or Details Thereof (AREA)
Abstract
A method and a device for identifying the type of a collision object, wherein the method comprises the following steps: receiving an elastic wave signal detected by an elastic wave sensor mounted on equipment when the equipment is collided; identifying characteristic parameters of a collision object colliding with the equipment according to the elastic wave signals; and identifying the type of the collision object according to the characteristic parameters of the collision object.
Description
Technical Field
The present disclosure relates to automation, and more particularly, to a method and apparatus for identifying a type of an impacting object.
Background
In the field of vehicle active bonnet application, a pressure pipe, a pressure sensor, an acceleration sensor and other devices are used for detecting whether a condition for triggering an active bonnet explosion device is met or not. When the vehicle is in collision, the pressure pipe and the pressure sensor are enabled to detect the change of the pressure and the curve of the change of the acceleration of the vehicle body through the deformation of the front bumper and the related structure, and when at least one of the pressure and the acceleration exceeds the corresponding threshold value, the active engine cover explosion device is triggered to bounce the engine cover to protect pedestrians.
However, the scheme can not identify the type of the collision object, and actually causes false triggering frequently, which causes unnecessary maintenance cost for the vehicle owner, such as collision of a pedestrian when the vehicle runs at high speed (25-50 km/h) and rear-end collision of a front vehicle when the vehicle runs at low speed, which respectively represent two typical collision events, namely collision of a soft object and collision of a hard object. However, in the two typical collision events, the impulse or collision energy of the two typical collision events causes the pressure pipe to deform and approach, so that the existing schemes cannot be well distinguished, and the behavior of triggering an active engine cover to explode when the automobile runs at a low speed and runs into the rear before the automobile runs into the rear often occurs to bounce the engine cover.
Disclosure of Invention
The following is a summary of the subject matter described in detail herein. This summary is not intended to limit the scope of the claims.
The application provides a method and a device for identifying a type of a collision object, which can identify the type of the collision object.
The application provides a method for identifying types of colliders, which comprises the following steps:
receiving an elastic wave signal detected by an elastic wave sensor mounted on equipment when the equipment is collided;
identifying characteristic parameters of a collision object colliding with the equipment according to the elastic wave signals;
and identifying the type of the collision object according to the characteristic parameters of the collision object.
The collision object type identification device provided by the application comprises a memory and a processor, wherein the memory stores a program, and the program realizes the method when being read and executed by the processor.
The collision object type can be identified.
Additional features and advantages of the application will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by the practice of the application. Other advantages of the present application may be realized and attained by the instrumentalities and combinations particularly pointed out in the specification and the drawings.
Drawings
The accompanying drawings are included to provide an understanding of the present disclosure and are incorporated in and constitute a part of this specification, illustrate embodiments of the disclosure and together with the examples serve to explain the principles of the disclosure and not to limit the disclosure.
Fig. 1 is a flowchart of a method for identifying a type of an impact object according to an embodiment of the present application;
FIG. 2 is a schematic diagram illustrating a comparison between a frequency spectrum of an elastic wave signal and a frequency spectrum window according to an embodiment of the present invention;
FIG. 3 is a schematic diagram of the E (V, W) curve in the example of the present application.
Detailed Description
The present application describes embodiments, but the description is illustrative rather than limiting and it will be apparent to those of ordinary skill in the art that many more embodiments and implementations are possible within the scope of the embodiments described herein. Although many possible combinations of features are shown in the drawings and discussed in the detailed description, many other combinations of the disclosed features are possible. Any feature or element of any embodiment may be used in combination with or instead of any other feature or element in any other embodiment, unless expressly limited otherwise.
The present application includes and contemplates combinations of features and elements known to those of ordinary skill in the art. The embodiments, features and elements disclosed in this application may also be combined with any conventional features or elements to form a unique inventive concept as defined by the claims. Any feature or element of any embodiment may also be combined with features or elements from other inventive aspects to form yet another unique inventive aspect, as defined by the claims. Thus, it should be understood that any of the features shown and/or discussed in this application may be implemented alone or in any suitable combination. Accordingly, the embodiments are not limited except as by the appended claims and their equivalents. Furthermore, various modifications and changes may be made within the scope of the appended claims.
Further, in describing representative embodiments, the specification may have presented the method and/or process as a particular sequence of steps. However, to the extent that the method or process does not rely on the particular order of steps set forth herein, the method or process should not be limited to the particular sequence of steps described. Other sequences of steps are possible as will be appreciated by those of ordinary skill in the art. Therefore, the particular order of the steps set forth in the specification should not be construed as limitations on the claims. Further, the claims directed to the method and/or process should not be limited to the performance of their steps in the order written, and one skilled in the art can readily appreciate that the sequences may be varied and still remain within the spirit and scope of the embodiments of the present application.
The embodiment of the application provides a method for identifying the type of a collision object, and as shown in fig. 1, the method comprises the following steps:
step S101, receiving an elastic wave signal detected by an elastic wave sensor mounted on equipment when the equipment collides;
step S102, identifying characteristic parameters of a collision object colliding with the equipment according to the elastic wave signals;
step S103 identifies the type of the collision object according to the characteristic parameters of the collision object.
The embodiment of the application can identify the type of the collision object.
In an exemplary embodiment, the characteristic parameter of the collision object may be the material of the collision object, the mass of the collision object; the materials of the collision objects can be roughly divided into hard objects and soft objects; the collision object can also be divided into different materials according to different hardness values of the materials, for example, rubber or plastic can be further divided into multiple materials according to the Shore hardness.
Identifying characteristic parameters of a colliding object colliding with the equipment according to the elastic wave signal, wherein the characteristic parameters comprise:
identifying the material of the collision object according to the frequency spectrum of the elastic wave signal; and the number of the first and second groups,
and identifying the mass of the collision object according to the energy of the elastic wave signal.
In an exemplary embodiment, identifying the material of the collision object according to the frequency spectrum of the elastic wave signal includes:
will the frequency spectrum of elastic wave signal is compared with one or more spectrum windows, judges whether the frequency spectrum of elastic wave signal accords with the characteristic of the spectrum window of comparison when the frequency spectrum of elastic wave signal accords with the characteristic of the spectrum window of comparison, will the material of colliding with the thing discerns the first class hardness material that the spectrum window of comparison corresponds when the frequency spectrum of elastic wave signal is not conform to the characteristic of the spectrum window of comparison, will the material of colliding with the thing discerns the second class hardness material that the spectrum window of comparison corresponds, the spectrum window be used for demarcating the colliding with the frequency interval and the amplitude interval of the elastic wave signal that equipment collision produced of two kinds of hardness materials.
In an exemplary embodiment, determining whether the spectrum of the elastic wave signal meets the characteristics of the compared spectrum window includes:
judging whether the number of peak points of the amplitude of the elastic wave signal falling into the frequency interval of the compared frequency spectrum window, which exceeds the amplitude corresponding to the upper edge of the frequency spectrum window, exceeds a number threshold value or not, and if so, judging that the frequency spectrum of the elastic wave signal conforms to the characteristics of the compared frequency spectrum window; or,
and judging whether the frequency domain amplitude mean value of the elastic wave signal falling into the frequency interval of the compared frequency spectrum windows exceeds the amplitude corresponding to the upper edge of the compared frequency spectrum windows or not, and if so, judging that the frequency spectrum of the elastic wave signal accords with the characteristics of the compared frequency spectrum windows.
Fig. 2 is a schematic diagram illustrating comparison between the frequency spectrum of an elastic wave signal and the characteristics of a frequency spectrum window, wherein dashed boxes in a diagram a and a diagram b indicate the same frequency spectrum window, and the number of peak points, where the frequency domain amplitude of the elastic wave signal falling into the frequency interval of the compared frequency spectrum window exceeds the amplitude corresponding to the upper edge of the frequency spectrum window, does not exceed a number threshold in the diagram a, indicating that the frequency spectrum of the elastic wave signal does not conform to the characteristics of the compared frequency spectrum window, thereby identifying that the material of the collision object is a soft collision object; and b, the number of peak points of the elastic wave signal in the frequency domain amplitude value falling into the frequency interval of the compared frequency spectrum window exceeding the amplitude value corresponding to the upper edge of the frequency spectrum window exceeds a number threshold value, which shows that the frequency spectrum of the elastic wave signal accords with the characteristics of the compared frequency spectrum window, and further identifies that the collision object is made of hard collision objects.
In this embodiment, if the second class of hardness material or the first class of hardness material is to be identified, another one or more spectrum windows may be selected.
In another exemplary implementation, identifying a material of the collision object according to a spectrum of the elastic wave signal includes:
determining the ratio of the frequency domain energy of the elastic wave signal in a selected frequency domain frequency interval to the frequency domain energy in another selected frequency domain frequency interval, comparing the ratio with one or more threshold values, and determining the material of the collision object according to the comparison result;
determining the ratio of the frequency domain energy of the elastic wave signal in the selected frequency domain frequency interval to the total frequency domain energy of the elastic wave signal, comparing the ratio with one or more threshold values, and determining the material of the collided object according to the comparison result.
For example, a low frequency band [0, f0], a high frequency band [ f1, f2] may be selected, and a frequency domain energy value Ef1 of the elastic wave signal in the low frequency band interval, a frequency domain energy value Ef2 of the high frequency band interval, and a frequency domain energy value Efm of the full frequency band interval [0, fm ] of interest are calculated, respectively; calculating the ratio X = Ef2/Ef1 of the low-frequency-band energy value and the high-frequency-band energy value, taking 3 materials with sequentially increasing hardness corresponding to a constant a < b < c according to the calibration result of the collision test of the objects made of different materials, and if X > = c, judging that the hardness of the material of the collision object is greater than or equal to the hardness of the material corresponding to the constant c; if b = < X < c, judging that the hardness of the material of the collision object is greater than or equal to the hardness of the material corresponding to b and is smaller than the hardness of the material corresponding to c; if a = < X < b, judging that the hardness of the material of the collision object is greater than or equal to the hardness of the material corresponding to a and is smaller than the hardness of the material corresponding to b; if X < a, judging that the hardness of the collision object material is less than the hardness of the material corresponding to a;
it is also possible to calculate the ratio Y = Ef2/Efm of the frequency domain energy value Ef2 of the high band interval and the frequency domain energy value Efm of the full band interval [0, fm ] of interest, and the determination logic is the same as above, which will not be described again here.
Because the frequency domain energy value of the elastic wave signal detected when the collision object collides with the equipment is increased along with the increase of the hardness of the material of the collision object, the relationship between the hardness of the material of the collision object and the hardness of the material corresponding to the threshold value can be judged according to the increase or decrease of the ratio, and the material of the collision object is further determined.
In an exemplary embodiment, the method for calculating the energy in the frequency domain includes:
e (f) is frequency domain energy in the frequency domain frequency interval fi-fj, and K (f) is frequency domain amplitude in the frequency domain frequency interval fi-fj;
ef1= integral (Kf) [0 to f0];
Ef2＝integral(Kf)[f1～f2]；
Efm＝integral(Kf)[0～fm]；
f0, f1, f2 and fm are specific frequency points of the frequency band of the frequency domain, wherein f1 is larger than f0, and fm is larger than f2.
In an exemplary embodiment, identifying the mass of the collision object from the energy of the elastic wave signal includes:
determining elastic wave signal time domain energy E (V1) detected by an elastic wave sensor mounted on the equipment when the collision object collides with the equipment, wherein V1 is collision speed of the collision object when the collision object collides with the equipment;
determining elastic wave signal time domain energy E (V1, W) corresponding to the collision speed according to elastic wave signal time domain energy E (V, W) detected by the elastic wave sensor when an object which is made of the same material as the collision object and has the mass W collides with the equipment at different speed V;
determining the mass of the collision object according to the E (V1) and the E (V1, M).
In an exemplary embodiment, determining the mass of the impact from the E (V1) and the E (V1, M) includes:
W1＝W*E(V1)/E(V1,W)；
wherein E (V1) = E i (V1),E(V1,W)＝E i (V1, W), i is the ith elastic wave sensor which detects the time domain energy of the elastic wave signal on the equipment;
or,
l is the total number of elastic wave sensors detecting the time domain energy of the elastic wave signals on the equipment; w1 is the mass of the impact.
Ei (V) = Σ | Kj |, or Ei (V) =Σ (Kj × Kj), j =0,1, \8230;, where M, M represents the number of sampling points for the elastic wave signal, and K represents a parameter related to the time domain amplitude of the elastic wave signal at a sampling point, such as K is the time domain amplitude of the elastic wave signal at the sampling point, or the square of the time domain amplitude.
The above process of obtaining E (V, W) may be a process of experimental calibration. The test calibration process can be performed for a specific application scene, so that a common collision object in the application scene collides with the equipment, and an E (V, W) curve is drawn according to the material, the quality and the collision speed of the common collision object, as shown in fig. 3. In order to ensure the accuracy of the test calibration result, the equipment used in the test calibration is preferably the same or similar in structure as the equipment used in the application scenario, and the layout of the sensors arranged on the equipment is also preferably consistent.
In the process of experimental calibration, a discrete interval can be taken for V, such as V E [ Vm, vn ], and then the quality identification can be calculated by taking a similar speed: if V1 is close to Vm, then W1 ≈ W × E (V1)/E (Vm, W); if V1 is similar to Vn, then W1 ≈ W ≈ E (V1)/E (Vn, W).
When the method of identifying the mass of the impact object described in the above embodiment is applied to a vehicle impact scene, since the mass of the impact object is generally set in a range, such as 0 to 35kg,35 to 120kg, due to a common vehicle impact event, such as a small animal impact, a pedestrian impact, a rear-end collision of a car, the identification of the type of the impact object can be performed as long as the identified mass falls within the set mass range.
In an example embodiment, after identifying the type of the collision object according to the characteristic parameter of the collision object, the method further includes:
and starting a collision protection measure adaptive to the type according to the type of the recognized collision object, if only when the type of the recognized collision object is a person, triggering the active hood explosion device, bouncing up the hood to protect pedestrians, and reducing the probability of false triggering.
The embodiment of the present invention further provides a device for identifying a type of a colliding object, including a memory and a processor, where the memory stores a program, and when the program is read and executed by the processor, the method according to any one of the foregoing embodiments is implemented.
It will be understood by those of ordinary skill in the art that all or some of the steps of the methods, systems, functional modules/units in the devices disclosed above may be implemented as software, firmware, hardware, and suitable combinations thereof. In a hardware implementation, the division between functional modules/units mentioned in the above description does not necessarily correspond to the division of physical components; for example, one physical component may have multiple functions, or one function or step may be performed by several physical components in cooperation. Some or all of the components may be implemented as software executed by a processor, such as a digital signal processor or microprocessor, or as hardware, or as an integrated circuit, such as an application specific integrated circuit. Such software may be distributed on computer readable media, which may include computer storage media (or non-transitory media) and communication media (or transitory media). The term computer storage media includes volatile and nonvolatile, removable and non-removable media implemented in any method or technology for storage of information such as computer readable instructions, data structures, program modules or other data, as is well known to those skilled in the art. Computer storage media includes, but is not limited to, RAM, ROM, EEPROM, flash memory or other memory technology, CD-ROM, digital Versatile Disks (DVD) or other optical disk storage, magnetic cassettes, magnetic tape, magnetic disk storage or other magnetic storage devices, or any other medium which can be used to store the desired information and which can accessed by a computer. In addition, communication media typically embodies computer readable instructions, data structures, program modules or other data in a modulated data signal such as a carrier wave or other transport mechanism and includes any information delivery media as known to those skilled in the art.
Claims (7)
1. A method for identifying a type of an impact object, comprising:
receiving an elastic wave signal detected by an elastic wave sensor mounted on equipment when the equipment is collided;
identifying characteristic parameters of a collision object colliding with the equipment according to the elastic wave signals;
identifying the type of the collision object according to the characteristic parameters of the collision object;
wherein identifying the characteristic parameters of the colliding object colliding with the equipment according to the elastic wave signal comprises: identifying the material of the collision object according to the frequency spectrum of the elastic wave signal; and identifying the mass of the collision object according to the energy of the elastic wave signal;
the method for identifying the material of the collision object according to the frequency spectrum of the elastic wave signal comprises the following steps:
comparing the frequency spectrum of the elastic wave signal with one or more frequency spectrum windows, judging whether the frequency spectrum of the elastic wave signal accords with the characteristics of the compared frequency spectrum windows or not, identifying the material of the collision object as a first class of hardness material corresponding to the compared frequency spectrum windows when the frequency spectrum of the elastic wave signal accords with the characteristics of the compared frequency spectrum windows, identifying the material of the collision object as a second class of hardness material corresponding to the compared frequency spectrum windows when the frequency spectrum of the elastic wave signal does not accord with the characteristics of the compared frequency spectrum windows, wherein the frequency spectrum windows are used for calibrating the frequency interval and the amplitude interval of the elastic wave signal generated by the collision object of the two classes of hardness materials and the equipment collision;
judging whether the frequency spectrum of the elastic wave signal conforms to the characteristics of the compared frequency spectrum window, including:
judging whether the number of peak points of the amplitude of the elastic wave signal falling into the frequency interval of the compared frequency spectrum window, which exceeds the amplitude corresponding to the upper edge of the frequency spectrum window, exceeds a number threshold value or not, and if so, judging that the frequency spectrum of the elastic wave signal conforms to the characteristics of the compared frequency spectrum window; or,
and judging whether the frequency domain amplitude mean value of the elastic wave signal falling into the frequency interval of the compared frequency spectrum windows exceeds the amplitude corresponding to the upper edge of the compared frequency spectrum windows or not, and if so, judging that the frequency spectrum of the elastic wave signal accords with the characteristics of the compared frequency spectrum windows.
2. The method according to claim 1, wherein the means for identifying the material of the collision object from the frequency spectrum of the elastic wave signal further comprises:
determining the ratio of the frequency domain energy of the elastic wave signal in a selected frequency domain frequency interval to the total frequency domain energy of the elastic wave signal, comparing the ratio with one or more threshold values, and determining the material of the collided object according to the comparison result; or,
and determining the ratio of the frequency domain energy of the elastic wave signal in a selected frequency domain frequency interval to the frequency domain energy in another selected frequency domain frequency interval, comparing the ratio with one or more thresholds, and determining the material of the collision object according to the comparison result.
3. The method of claim 2, wherein the calculating of the frequency domain energy comprises:
e (f) is the frequency domain energy in the frequency domain frequency intervals fi-fj, and K (f) is the frequency domain amplitude in the frequency domain frequency intervals fi-fj.
4. The method of claim 1, wherein identifying the mass of the impact object from the energy of the elastic wave signal comprises:
determining elastic wave signal time domain energy E (V1) detected by an elastic wave sensor mounted on the equipment when the collision object collides with the equipment, wherein V1 is collision speed of the collision object when the collision object collides with the equipment;
determining elastic wave signal time domain energy E (V1, W) corresponding to the collision speed according to elastic wave signal time domain energy E (V, W) detected by the elastic wave sensor when an object which is made of the same material as the collision object and has the mass W collides with the equipment at different speeds V;
determining the mass of the collision object according to the E (V1) and the E (V1, M).
5. The method of claim 4,
determining a mass of the impact from the E (V1) and the E (V1, M), comprising:
W1＝W*E(V1)/E(V1,W)；
wherein E (V1) = E i (V1),E(V1,W)＝E i (V1, W), i is the ith elastic wave sensor which detects the time domain energy of the elastic wave signal on the equipment;
or the like, or a combination thereof,
l is the total number of elastic wave sensors detecting the time domain energy of the elastic wave signals on the equipment; w1 is the mass of the impact.
6. The method of claim 5,
ei (V) = Σ | Kj |, or Ei (V) = ∑ (Kj) =:, j =0,1, \8230whereM, M represents the number of sampling points for the elastic wave signal and K represents a parameter related to the time domain amplitude of the elastic wave signal at the sampling points.
7. A collision object type recognition device comprising a memory and a processor, the memory storing a program which, when read and executed by the processor, implements the method of any one of claims 1 to 6.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011179526.2A CN114426004B (en) | 2020-10-29 | 2020-10-29 | Collision object type identification method and device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011179526.2A CN114426004B (en) | 2020-10-29 | 2020-10-29 | Collision object type identification method and device |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN114426004A CN114426004A (en) | 2022-05-03 |
| CN114426004B true CN114426004B (en) | 2022-12-09 |
Family
ID=81308844
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202011179526.2A Active CN114426004B (en) | 2020-10-29 | 2020-10-29 | Collision object type identification method and device |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN114426004B (en) |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH0980034A (en) * | 1995-09-18 | 1997-03-28 | Tech Res & Dev Inst Of Japan Def Agency | Underground object identification device |
| JP2006084454A (en) * | 2004-08-20 | 2006-03-30 | Canon Inc | Elastic wave original waveform measuring method, elastic wave original waveform measuring device |
| US9650007B1 (en) * | 2015-04-13 | 2017-05-16 | Allstate Insurance Company | Automatic crash detection |
| CN110316131A (en) * | 2018-03-30 | 2019-10-11 | 北京钛方科技有限责任公司 | Vehicle collision means of defence and device |
Family Cites Families (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6721642B1 (en) * | 2003-02-20 | 2004-04-13 | Ford Global Technologies, Llc | Method of generating a calibration crash sensor output pulse |
| DE102005024319B3 (en) * | 2005-05-27 | 2006-12-14 | Siemens Ag | Apparatus and method for controlling a personal protection system of a vehicle |
| CN110132458B (en) * | 2018-02-09 | 2021-10-19 | 北京钛方科技有限责任公司 | Dynamic or quasi-dynamic force detection device and method |
-
2020
- 2020-10-29 CN CN202011179526.2A patent/CN114426004B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH0980034A (en) * | 1995-09-18 | 1997-03-28 | Tech Res & Dev Inst Of Japan Def Agency | Underground object identification device |
| JP2006084454A (en) * | 2004-08-20 | 2006-03-30 | Canon Inc | Elastic wave original waveform measuring method, elastic wave original waveform measuring device |
| US9650007B1 (en) * | 2015-04-13 | 2017-05-16 | Allstate Insurance Company | Automatic crash detection |
| CN110316131A (en) * | 2018-03-30 | 2019-10-11 | 北京钛方科技有限责任公司 | Vehicle collision means of defence and device |
Also Published As
| Publication number | Publication date |
|---|---|
| CN114426004A (en) | 2022-05-03 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US11938880B2 (en) | Low impact crash detection for a vehicle | |
| CN103201142B (en) | For collision sense and the recognition system of pedestrian protection | |
| CN112277936B (en) | Vehicle collision detection processing method and device, vehicle-mounted terminal and storage medium | |
| US6853919B2 (en) | Method for reducing repeat false alarm indications in vehicle impact detection systems | |
| US7197396B2 (en) | Collision mitigation system | |
| EP2306433A1 (en) | Collision avoidance system and method for a road vehicle and respective computer program product | |
| JP7037672B2 (en) | How to recognize static radar targets with automotive radar sensors | |
| CN109923004B (en) | Method for operating a personal protective device | |
| EP2212160A1 (en) | A system for classifying objects in the vicinity of a vehicle | |
| CN109866748A (en) | Determine the brake control system and brake control method of the braking correction value of emergency brake operations | |
| CN109696665A (en) | Processing method, device and the equipment of ultrasonic sensor measurement data | |
| CN114426004B (en) | Collision object type identification method and device | |
| CN107644475B (en) | Vehicle collision detection method and device and OBD box | |
| CN110139780A (en) | Detecting light impacts of vehicles with low computational overhead | |
| JP2002316614A (en) | Method and device for classifying rollover process of vehicle | |
| US7191045B2 (en) | Method for determining a trigger time for restraint means in a vehicle | |
| US7920055B2 (en) | Classification method for pedestrian protection system | |
| CN119058583A (en) | Vehicle collision detection method, device, vehicle and storage medium | |
| CN115092164A (en) | Driving behavior recognition method and device and storage medium | |
| CN108962234A (en) | Improve temporarily impaired speech knowledge method for distinguishing in vehicle | |
| CN115640534A (en) | Apparatus, storage medium, computer program and method for verifying a data model | |
| US20240272279A1 (en) | Radar Target Classification | |
| Park et al. | Identification of object impact location and bumper stiffness curve for pedestrian protection system | |
| CN120552858A (en) | Vehicle collision handling method, device, electronic device and storage medium | |
| JP5761720B2 (en) | Collision discrimination device |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |