CN109785214A - Safety alarming method and device based on car networking - Google Patents

Safety alarming method and device based on car networking Download PDF

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Publication number
CN109785214A
CN109785214A CN201910155885.5A CN201910155885A CN109785214A CN 109785214 A CN109785214 A CN 109785214A CN 201910155885 A CN201910155885 A CN 201910155885A CN 109785214 A CN109785214 A CN 109785214A
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China
Prior art keywords
image
occupant
violence
behavior
similarity
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Pending
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CN201910155885.5A
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Chinese (zh)
Inventor
廖强
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Baoneng Automobile Co Ltd
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Baoneng Automobile Co Ltd
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Priority to CN201910155885.5A priority Critical patent/CN109785214A/en
Publication of CN109785214A publication Critical patent/CN109785214A/en
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Abstract

This application discloses a kind of safety alarming method and device based on car networking, the safety alarming method based on car networking, comprising: obtain the number of interior occupant and the behavior image of occupant;When the number of the occupant is greater than 1, the behavior image of the occupant and the similarity of known act of violence image are determined based on image recognition model trained in advance;Determine whether car occurs incident of violence according to the similarity;If it is determined that interior occur incident of violence, then prompt information is sent.The safety alarming method based on car networking of the application, ensure in more people's scenes, the behavioural characteristic of occupant can be monitored in real time, and whether discovery car occurs aggressive event in time, the property safety and personal safety of car owner can be helped to improve, it can be reduced manpower investigation cost and save the plenty of time and complete case investigation, have huge deterrent force to criminal.

Description

Safety alarming method and device based on car networking
Technical field
The application belongs to field of computer technology, in particular to a kind of safety alarming method based on car networking and Device.
Background technique
As the improvement of people's living standards, public trip walking-replacing tool is substantially self-driving or takes a taxi, but layer goes out The various wounding events of not poor appearance, cause common people's trip fear, and typical automotive systems can not monitor interior violence thing in time Part can not connect internet, and case investigation cost is significantly greatly increased.Even if car has monitoring device that can only be stored in local, once Loss or damage can not obtain current state.
Summary of the invention
The application aims to solve at least one of the technical problems existing in the prior art.
According to the safety alarming method based on car networking of the application, comprising: obtain number and the occupant of interior occupant Behavior image;When the number of the occupant is greater than 1, the row of the occupant is determined based on image recognition model trained in advance For the similarity of image and known act of violence image;Determine whether car occurs incident of violence according to the similarity;If It determines interior generation incident of violence, then sends prompt information.
The safety alarming method based on car networking of the application, it is ensured that in more people's scenes, occupant can be monitored in real time Behavioural characteristic, and in time discovery car aggressive event whether occurs, the property safety and the people that improve car owner can be helped Body safety can be reduced manpower investigation cost and save the plenty of time and complete case investigation, has huge deterrent force to criminal.
The application also proposed a kind of safety alarm device based on car networking, comprising: first acquisition unit is configured to Obtain the information of number of the occupant of ride-on vehicles;Second acquisition unit is configured to obtain the behavior figure of the occupant of ride-on vehicles As information;First determination unit is configured to determine the behavior image of the occupant based on image recognition model trained in advance With the similarity of known act of violence image;Second determination unit is configured to whether determine car according to the similarity Incident of violence occurs;Transmission unit is configured to if it is determined that interior generation incident of violence, then send prompt information.
The application also proposed a kind of computer readable storage medium, be stored with computer program, and the program is processed Device realizes the safety alarming method described above based on car networking when executing.
Described device, the computer readable storage medium and above-mentioned method compared with the existing technology possessed by advantage Identical, details are not described herein.
The additional aspect and advantage of the application will be set forth in part in the description, and will partially become from the following description It obtains obviously, or recognized by the practice of the application.
Detailed description of the invention
The above-mentioned and/or additional aspect and advantage of the application will become from the description of the embodiment in conjunction with the following figures Obviously and it is readily appreciated that, in which:
Fig. 1 is that this application can be applied to exemplary system architecture figures therein;
Fig. 2 is the flow chart according to the safety alarming method based on car networking of one embodiment of the application;
Fig. 3 is the structural schematic diagram according to the safety alarm device based on car networking of one embodiment of the application.
Appended drawing reference:
Safety alarm device 100 based on car networking, first acquisition unit 101, second acquisition unit 102, first determines Unit 103, the second determination unit 104, transmission unit 105, acquiring unit 106, on-vehicle host 107,
Server 200, base station 201, remote terminal 202.
Specific embodiment
Embodiments herein is described below in detail, examples of the embodiments are shown in the accompanying drawings, wherein from beginning to end Same or similar label indicates same or similar element or element with the same or similar functions.Below with reference to attached The embodiment of figure description is exemplary, and is only used for explaining the application, and should not be understood as the limitation to the application.
Fig. 1 is shown can the safety alarming method based on car networking using the application or the safety report based on car networking The exemplary system architecture of the embodiment of alarm device 100.
As shown in Figure 1, the system architecture may include: acquiring unit 106, on-vehicle host 107, remote terminal 202 and cloud Hold server 200.
Wherein, acquiring unit 106 is for obtaining the information of number of occupant and the behavior image information of occupant, acquiring unit 106 may include the equipment such as camera.
Acquiring unit 106 and 107 communication connection of on-vehicle host, the information that on-vehicle host 107 is obtained according to acquiring unit 106 Judge whether car occurs incident of violence, on-vehicle host 107 can pass through base station 201 and remote terminal 202 and cloud server 200 communication connections.
Remote terminal 202 may include the mobile terminals such as mobile phone, plate, laptop or base, desktop computer etc. Fixed terminal.
The safety alarming method based on car networking of the embodiment of the present invention can be filled by the security alarm based on car networking 100 execution are set, the safety alarm device 100 based on car networking can be installed on car, such as automobile, rail vehicle etc., be based on The safety alarm device 100 of car networking may include above-mentioned acquiring unit 106, on-vehicle host 107.
As shown in Fig. 2, the safety alarming method based on car networking includes the following steps:
Step S10 obtains the number of interior occupant and the behavior image of occupant.
In the present embodiment, the number for obtaining interior occupant and the behavior image for obtaining occupant can carry out simultaneously, obtain The number of occupant in pick-up and the behavior image for obtaining occupant can be held by being set to the interior same acquiring unit 106 Row, in specific execute, the contour images and behavior image of the available occupant of interior camera.
In actual execution, the number for obtaining interior occupant includes: that the number of occupant is obtained by recognition of face;Or Person, the number for obtaining interior occupant include: that the number for obtaining occupant is identified by human body contour outline.
In actual execution, the behavior image for obtaining interior occupant includes: the row that occupant is obtained by image recognition For image.
In application scenes, remote terminal 202 can be directly aobvious by above-mentioned acquiring unit 106 (such as camera) Show or shoot the image information of interior occupant.
Step S20 determines the behavior of occupant based on image recognition model trained in advance when the number of occupant is greater than 1 The similarity of image and known act of violence image.
It is understood that act of violence is that a side applies another party, and when the number of occupant is greater than 1, act of violence It is likely to occur.
Safety alarm device 100 can obtain preparatory trained image recognition mould from cloud server 200 by network Type, certainly, the image recognition model can also be stored in safety alarm device 100 in advance.
In application scenes, above-mentioned image recognition model can update beyond the clouds, and safety alarm device 100 can be with every Above-mentioned trained image recognition model is obtained from above-mentioned cloud server 200 by network every the predetermined time.
The behavior image of the occupant got in step slo can be input to trained by safety alarm device 100 In image recognition model, which can determine the behavior image and known act of violence image of above-mentioned occupant Similarity.
In actually executing, above-mentioned steps S20 may include following sub-step:
Sub-step S21 extracts the behavioural characteristic of occupant in subordinate act image.
Above-mentioned image recognition model can extract the behavioural characteristic of passenger from the behavior image of above-mentioned passenger.Above-mentioned behavior Feature can include but is not limited to following characteristics: the movement speed of occupant, the limbs in the movement of one of occupant with it is another The distance of a occupant, the tool shape in occupant's hand, the expanded angle of the limbs of occupant and shape etc..
Sub-step S22, behavioural characteristic based on occupant and the behavior extracted from known act of violence image in advance Feature determines the behavior image of occupant and the similarity of known act of violence image
In the present embodiment, above-mentioned cloud server 200 is in the known act of violence image of use to upper image recognition mould When type is trained, the behavioural characteristic of each movement can be extracted from the various conventional infringement movements being pre-designed.Above-mentioned peace Full warning device 100 is available above-mentioned to have mentioned when obtaining above-mentioned image recognition model from above-mentioned cloud server 200 The behavioural characteristic of your movement of each armful taken.
In this way, above-mentioned image recognition model determines that the behavior image of occupant and the similarity of known act of violence image can To be converted into the similarity for the behavioural characteristic extracted in the above-mentioned behavioural characteristic and known act of violence image of determining passenger, this One infringement movement can be split as multiple behavioural characteristics by sample, comprehensively considered the similarity of multiple behavioural characteristics, avoided identifying Error.
Step S30 determines whether car occurs incident of violence according to similarity.
In the present embodiment, for any one interior occupant, above-mentioned safety alarm device 100 can be according to the occupant Behavior image and the similarities of behavior image of a variety of violent actions interior whether incident of violence occurs to determine.
Specifically, when the behavior image of the passenger and a kind of known similar example of the behavior image of violent action are greater than in advance If when similarity threshold, can determine that the passenger is the personnel that exert violence.Otherwise, it can determine that the passenger is not the personnel of exerting violence.
Step S40, however, it is determined that incident of violence occurs for car, then sends prompt information.
In the present embodiment, it when step S40 determines interior incident of violence, can be sent to the remote terminal 202 of setting Prompt information, above-mentioned prompt information may include image information perhaps image information check link or current vehicle position It sets.
In application scenes, step S40 may include following sub-step:
To the remote terminal 202 of setting prompt information occurs for sub-step S41.
In the present embodiment, after remote terminal 202 receives the prompt information, violence occurs really by judging whether again Movement, can choose alarm.
In application scenes, remote terminal 202 may include the mobile phone of certain kith and kin, which receives the prompt information Afterwards, by the link of prompt information, image information is checked, it can be determined that whether violence power is occurring really, if it is, can To select alarm.
Sub-step S42, however, it is determined that incident of violence occurs for car, then carries out image coding, and the image information of occupant is sent It is stored to cloud.
In the present embodiment, with reference to Fig. 1, the image that safety alarm device 100 can also will acquire uploads after encoding in detail It is stored to cloud, accordingly even when vehicle is damaged can also provide the evidence of infringement by the backup in cloud, and cloud storage Image information can also be convenient for checking.
Certainly, image information can also be stored in local, such as on-vehicle host by the safety alarming method based on car networking In 107 storage unit.
In conclusion the above-mentioned safety alarming method based on car networking has mainly used face recognition algorithms, image to compile solution Code and cloud memory technology, it is ensured that car owner's property safety and personal safety.
The safety alarming method based on car networking that the above embodiments of the present application provide, it is ensured that in more people's scenes, Neng Goushi When monitor occupant behavioural characteristic, and in time discovery car aggressive event whether occurs, can help to improve car owner's Property safety and personal safety can be reduced manpower investigation cost and save the plenty of time and complete case investigation, to criminal There is huge deterrent force.
As shown in figure 3, this application provides a kind of peaces based on car networking as the realization to method shown in above-mentioned Fig. 2 One embodiment of full warning device 100, the Installation practice is corresponding with embodiment of the method shown in Fig. 2, and the device is specific It can be applied in various electronic equipments, for example the apparatus may include acquiring unit 106 shown in FIG. 1 and on-vehicle hosts 107.
As shown in figure 3, the safety alarm device 100 based on car networking includes: that first acquisition unit 101, second obtains list First 102, first determination unit 103, the second determination unit 104, transmission unit 105.
Wherein, first acquisition unit 101 is configured to obtain the information of number of the occupant of ride-on vehicles, second acquisition unit 102 are configured to obtain the behavior image information of the occupant of ride-on vehicles, first acquisition unit 101 and second acquisition unit 102 It can integrate setting, for example first acquisition unit 101 and second acquisition unit 102 can integrate as acquiring unit shown in FIG. 1 106。
First determination unit 103 be configured to determine based on image recognition model trained in advance the behavior image of occupant with The similarity of known act of violence image;Second determination unit 104 is configured to determine whether car occurs according to similarity Incident of violence;Transmission unit 105 is configured to if it is determined that interior generation incident of violence, then send prompt information.
In the present embodiment, first acquisition unit 101, second acquisition unit 102, the first determination unit 103, second determine Unit 104, the processing mode of transmission unit 105 and technical effect can refer to the description of above-mentioned steps S10-S40, herein not It repeats again.
In some embodiments, first acquisition unit 101 is further configured to recognition of face or human body contour outline Identification obtains the number of occupant.
In some embodiments, second acquisition unit 102 is further configured to the row that image recognition obtains occupant For image.
In some embodiments, the first determination unit 103 is further configured to: the row of occupant is extracted in subordinate act image It is characterized;Behavioural characteristic based on occupant and the behavioural characteristic extracted from known act of violence image in advance determine occupant Behavior image and known act of violence image similarity.
In some embodiments, transmission unit 105 is further configured to: being prompted to the remote terminal 202 of setting Information.
In some embodiments, the safety alarm device 100 based on car networking further include: image coding unit, image are compiled Code unit is configured to carry out image coding, and transmission unit 105 is further configured to: the image information after coding is sent to Cloud storage.
In some embodiments, the safety alarm device 100 based on car networking further include: storage unit, storage unit are matched It sets and is used for: the image information of occupant is stored.
Disclosed herein as well is a kind of computer readable storage medium, which has computer Program, the program realize the above-mentioned safety alarming method based on car networking when being executed by processor.
The computer readable storage medium of the application includes but is not limited to electricity, magnetic, optical, electromagnetic, infrared ray or semiconductor System, server or device, or any above combination.
The more specific example of the computer readable storage medium of the application includes but is not limited to: leading with one or more The electrical connection of line, portable computer diskette, hard disk, random access storage device (RAM), read-only memory (ROM), erasable type can Program read-only memory (EPROM or flash memory), optical fiber, portable compact disc read-only memory (CD-ROM), light storage device, Magnetic memory device or above-mentioned any appropriate combination.
In this application, computer readable storage medium can be any tangible medium for including or store program, the journey Sequence can be commanded execution system, server or device use or in connection.And in this application, computer can The signal media of reading may include in a base band or as the data-signal that carrier wave a part is propagated, wherein carrying computer Readable program code.The data-signal of this propagation can take various forms, including but not limited to electromagnetic signal, optical signal Or above-mentioned any appropriate combination.Computer-readable signal media can also be appointing other than computer readable storage medium What computer-readable medium, the computer-readable medium can be sent, propagated or transmitted for by instruction execution system, service Device or device use or program in connection.The program code for including on computer-readable medium can be with any Medium transmission appropriate, including but not limited to: wireless, electric wire, optical cable, RF etc. or above-mentioned any appropriate combination.
Flow chart and block diagram in attached drawing are illustrated according to the system of the various embodiments of the application, method and computer journey The architecture, function and operation in the cards of sequence product.In this regard, each box in flowchart or block diagram can generation A part of one module, program segment or code of table, a part of the module, program segment or code include one or more use The executable instruction of the logic function as defined in realizing.It should also be noted that in some implementations as replacements, being marked in box The function of note can also occur in a different order than that indicated in the drawings.For example, two boxes succeedingly indicated are actually It can be basically executed in parallel, they can also be executed in the opposite order sometimes, and this depends on the function involved.Also it to infuse Meaning, the combination of each box in block diagram and or flow chart and the box in block diagram and or flow chart can be with holding The dedicated hardware based system of functions or operations as defined in row is realized, or can use specialized hardware and computer instruction Combination realize.
Being described in unit involved in the embodiment of the present application can be realized by way of software, can also be by hard The mode of part is realized.Described unit also can be set in the processor.
In the description of this specification, reference term " one embodiment ", " some embodiments ", " illustrative examples ", The description of " example ", " specific example " or " some examples " etc. means specific features described in conjunction with this embodiment or example, knot Structure, material or feature are contained at least one embodiment or example of the application.In the present specification, to above-mentioned term Schematic representation may not refer to the same embodiment or example.Moreover, specific features, structure, material or the spy of description Point can be combined in any suitable manner in any one or more of the embodiments or examples.
While there has been shown and described that embodiments herein, it will be understood by those skilled in the art that: not A variety of change, modification, replacement and modification can be carried out to these embodiments in the case where being detached from the principle and objective of the application, this The range of application is defined by the claims and their equivalents.

Claims (10)

1. a kind of safety alarming method based on car networking characterized by comprising
Obtain the number of interior occupant and the behavior image of occupant;
When the number of the occupant is greater than 1, the behavior image of the occupant is determined based on image recognition model trained in advance With the similarity of known act of violence image;
Determine whether car occurs incident of violence according to the similarity;
If it is determined that interior occur incident of violence, then prompt information is sent.
2. the method according to claim 1, wherein the behavior of the number for obtaining interior occupant and occupant Image, comprising: the number that occupant is obtained by recognition of face or human body contour outline identification obtains the row of occupant by image recognition For image.
3. the method according to claim 1, wherein described determine institute based on image recognition model trained in advance State the behavior image of occupant and the similarity of known act of violence image, comprising:
The behavioural characteristic of the occupant is extracted from the behavior image;
Behavioural characteristic based on the occupant and the behavioural characteristic extracted from known act of violence image in advance determine institute State the behavior image of occupant and the similarity of known act of violence image.
4. the method according to claim 1, wherein the transmission prompt information, comprising: to the long-range end of setting Prompt information occurs for end;
The method also includes: it is described if it is determined that interior generation incident of violence, then carry out image coding, by the image of the occupant Information is sent to cloud storage.
5. a kind of safety alarm device based on car networking characterized by comprising
First acquisition unit is configured to obtain the information of number of the occupant of ride-on vehicles;
Second acquisition unit is configured to obtain the behavior image information of the occupant of ride-on vehicles;
First determination unit, be configured to determine based on image recognition model trained in advance the behavior image of the occupant with The similarity for the act of violence image known;
Second determination unit is configured to determine whether car occurs incident of violence according to the similarity;
Transmission unit is configured to if it is determined that interior generation incident of violence, then send prompt information.
6. device according to claim 5, which is characterized in that the first acquisition unit is further configured to people Face identification or human body contour outline identification obtain the number of occupant;The second acquisition unit is further configured to image knowledge Not Huo Qu occupant behavior image.
7. device according to claim 5, which is characterized in that first determination unit is further configured to:
The behavioural characteristic of the occupant is extracted from the behavior image;
Behavioural characteristic based on the occupant and the behavioural characteristic extracted from known act of violence image in advance determine institute State the behavior image of occupant and the similarity of known act of violence image.
8. device according to claim 5, which is characterized in that the transmission unit is further configured to: to setting Prompt information occurs for remote terminal.
9. device according to claim 5, which is characterized in that described device further include:
Image coding unit, described image coding unit are configured to carry out image coding, and the transmission unit further configures For the image information after coding to be sent to cloud storage;
Storage unit, the memory cell arrangements are used to store the image information of the occupant.
10. a kind of computer readable storage medium, is stored with computer program, which is characterized in that the program is held by processor Such as method of any of claims 1-4 is realized when row.
CN201910155885.5A 2019-03-01 2019-03-01 Safety alarming method and device based on car networking Pending CN109785214A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112208475A (en) * 2019-07-09 2021-01-12 奥迪股份公司 Safety protection system for vehicle occupants, vehicle and corresponding method and medium

Citations (15)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1919711A (en) * 2006-09-20 2007-02-28 浙江工业大学 Elevator inner violence-proof apparatus based on image and speech recognition technique
CN101557506A (en) * 2009-05-19 2009-10-14 浙江工业大学 Intelligent detecting device for violent behavior in elevator car based on computer vision
CN101751678A (en) * 2009-12-16 2010-06-23 北京智安邦科技有限公司 Method and device for detecting violent crowd movement
CN101968848A (en) * 2010-09-27 2011-02-09 哈尔滨工业大学深圳研究生院 Video monitoring method and system and video monitoring alarm system
CN102495997A (en) * 2011-10-30 2012-06-13 南京师范大学 Reading room intelligent management system based on video detection and GIS (geographic information system) image visualization
CN103428284A (en) * 2013-08-07 2013-12-04 合肥迈腾信息科技有限公司 Cloud technology based on-board Internet phoning method
CN103761748A (en) * 2013-12-31 2014-04-30 北京邮电大学 Method and device for detecting abnormal behaviors
CN104820834A (en) * 2015-05-19 2015-08-05 深圳市保千里电子有限公司 Fighting early warning method and device
CN106790367A (en) * 2016-11-15 2017-05-31 山东省科学院自动化研究所 The vehicle safety hidden danger early warning of big data treatment and accident reproduction system and method
CN106980829A (en) * 2017-03-17 2017-07-25 苏州大学 Abnormal behaviour automatic testing method of fighting based on video analysis
CN107451553A (en) * 2017-07-26 2017-12-08 北京大学深圳研究生院 Incident of violence detection method in a kind of video based on hypergraph transformation
CN107992902A (en) * 2017-12-22 2018-05-04 北京工业大学 A kind of routine bus system based on supervised learning steals individual automatic testing method
CN108009690A (en) * 2017-12-22 2018-05-08 北京工业大学 A kind of routine bus system optimized based on modularity steals group's automatic testing method
CN108734106A (en) * 2018-04-23 2018-11-02 中国科学院自动化研究所 Quick sudden and violent probably video frequency identifying method based on comparison
CN109389107A (en) * 2019-01-15 2019-02-26 深兰人工智能芯片研究院(江苏)有限公司 Vehicle safety processing method, device and computer readable storage medium

Patent Citations (15)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1919711A (en) * 2006-09-20 2007-02-28 浙江工业大学 Elevator inner violence-proof apparatus based on image and speech recognition technique
CN101557506A (en) * 2009-05-19 2009-10-14 浙江工业大学 Intelligent detecting device for violent behavior in elevator car based on computer vision
CN101751678A (en) * 2009-12-16 2010-06-23 北京智安邦科技有限公司 Method and device for detecting violent crowd movement
CN101968848A (en) * 2010-09-27 2011-02-09 哈尔滨工业大学深圳研究生院 Video monitoring method and system and video monitoring alarm system
CN102495997A (en) * 2011-10-30 2012-06-13 南京师范大学 Reading room intelligent management system based on video detection and GIS (geographic information system) image visualization
CN103428284A (en) * 2013-08-07 2013-12-04 合肥迈腾信息科技有限公司 Cloud technology based on-board Internet phoning method
CN103761748A (en) * 2013-12-31 2014-04-30 北京邮电大学 Method and device for detecting abnormal behaviors
CN104820834A (en) * 2015-05-19 2015-08-05 深圳市保千里电子有限公司 Fighting early warning method and device
CN106790367A (en) * 2016-11-15 2017-05-31 山东省科学院自动化研究所 The vehicle safety hidden danger early warning of big data treatment and accident reproduction system and method
CN106980829A (en) * 2017-03-17 2017-07-25 苏州大学 Abnormal behaviour automatic testing method of fighting based on video analysis
CN107451553A (en) * 2017-07-26 2017-12-08 北京大学深圳研究生院 Incident of violence detection method in a kind of video based on hypergraph transformation
CN107992902A (en) * 2017-12-22 2018-05-04 北京工业大学 A kind of routine bus system based on supervised learning steals individual automatic testing method
CN108009690A (en) * 2017-12-22 2018-05-08 北京工业大学 A kind of routine bus system optimized based on modularity steals group's automatic testing method
CN108734106A (en) * 2018-04-23 2018-11-02 中国科学院自动化研究所 Quick sudden and violent probably video frequency identifying method based on comparison
CN109389107A (en) * 2019-01-15 2019-02-26 深兰人工智能芯片研究院(江苏)有限公司 Vehicle safety processing method, device and computer readable storage medium

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112208475A (en) * 2019-07-09 2021-01-12 奥迪股份公司 Safety protection system for vehicle occupants, vehicle and corresponding method and medium

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Applicant after: Baoneng Automobile Group Co., Ltd

Address before: 518000 Shenye Logistics Building 1088, 2088 Baoan North Road, Shaanggang Street, Luohu District, Shenzhen City, Guangdong Province

Applicant before: BAONENG AUTOMOBILE Co.,Ltd.

RJ01 Rejection of invention patent application after publication
RJ01 Rejection of invention patent application after publication

Application publication date: 20190521