CN104769637A - System for recognizing accident of delivery vehicle - Google Patents
System for recognizing accident of delivery vehicle Download PDFInfo
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- CN104769637A CN104769637A CN201380058177.0A CN201380058177A CN104769637A CN 104769637 A CN104769637 A CN 104769637A CN 201380058177 A CN201380058177 A CN 201380058177A CN 104769637 A CN104769637 A CN 104769637A
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- 238000004458 analytical method Methods 0.000 claims abstract description 44
- 238000001514 detection method Methods 0.000 claims abstract description 33
- 238000005259 measurement Methods 0.000 claims abstract description 26
- 238000006073 displacement reaction Methods 0.000 claims description 35
- 230000001133 acceleration Effects 0.000 claims description 12
- 238000004891 communication Methods 0.000 claims description 6
- 230000003116 impacting effect Effects 0.000 claims description 4
- 230000035939 shock Effects 0.000 abstract 4
- 230000032258 transport Effects 0.000 description 28
- 230000006378 damage Effects 0.000 description 4
- 238000000034 method Methods 0.000 description 4
- 238000012544 monitoring process Methods 0.000 description 3
- 206010039203 Road traffic accident Diseases 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 238000011835 investigation Methods 0.000 description 2
- UPLPHRJJTCUQAY-WIRWPRASSA-N 2,3-thioepoxy madol Chemical compound C([C@@H]1CC2)[C@@H]3S[C@@H]3C[C@]1(C)[C@@H]1[C@@H]2[C@@H]2CC[C@](C)(O)[C@@]2(C)CC1 UPLPHRJJTCUQAY-WIRWPRASSA-N 0.000 description 1
- 208000027418 Wounds and injury Diseases 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000008901 benefit Effects 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 239000004615 ingredient Substances 0.000 description 1
- 208000014674 injury Diseases 0.000 description 1
- 238000007689 inspection Methods 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 239000000463 material Substances 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000008092 positive effect Effects 0.000 description 1
- 230000008569 process Effects 0.000 description 1
- 230000026676 system process Effects 0.000 description 1
- 230000009897 systematic effect Effects 0.000 description 1
- 238000012546 transfer Methods 0.000 description 1
Classifications
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/40—Business processes related to the transportation industry
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60T—VEHICLE BRAKE CONTROL SYSTEMS OR PARTS THEREOF; BRAKE CONTROL SYSTEMS OR PARTS THEREOF, IN GENERAL; ARRANGEMENT OF BRAKING ELEMENTS ON VEHICLES IN GENERAL; PORTABLE DEVICES FOR PREVENTING UNWANTED MOVEMENT OF VEHICLES; VEHICLE MODIFICATIONS TO FACILITATE COOLING OF BRAKES
- B60T7/00—Brake-action initiating means
- B60T7/12—Brake-action initiating means for automatic initiation; for initiation not subject to will of driver or passenger
- B60T7/22—Brake-action initiating means for automatic initiation; for initiation not subject to will of driver or passenger initiated by contact of vehicle, e.g. bumper, with an external object, e.g. another vehicle, or by means of contactless obstacle detectors mounted on the vehicle
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60T—VEHICLE BRAKE CONTROL SYSTEMS OR PARTS THEREOF; BRAKE CONTROL SYSTEMS OR PARTS THEREOF, IN GENERAL; ARRANGEMENT OF BRAKING ELEMENTS ON VEHICLES IN GENERAL; PORTABLE DEVICES FOR PREVENTING UNWANTED MOVEMENT OF VEHICLES; VEHICLE MODIFICATIONS TO FACILITATE COOLING OF BRAKES
- B60T2201/00—Particular use of vehicle brake systems; Special systems using also the brakes; Special software modules within the brake system controller
- B60T2201/02—Active or adaptive cruise control system; Distance control
- B60T2201/022—Collision avoidance systems
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60T—VEHICLE BRAKE CONTROL SYSTEMS OR PARTS THEREOF; BRAKE CONTROL SYSTEMS OR PARTS THEREOF, IN GENERAL; ARRANGEMENT OF BRAKING ELEMENTS ON VEHICLES IN GENERAL; PORTABLE DEVICES FOR PREVENTING UNWANTED MOVEMENT OF VEHICLES; VEHICLE MODIFICATIONS TO FACILITATE COOLING OF BRAKES
- B60T2201/00—Particular use of vehicle brake systems; Special systems using also the brakes; Special software modules within the brake system controller
- B60T2201/02—Active or adaptive cruise control system; Distance control
- B60T2201/024—Collision mitigation systems
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/16—Anti-collision systems
- G08G1/161—Decentralised systems, e.g. inter-vehicle communication
- G08G1/162—Decentralised systems, e.g. inter-vehicle communication event-triggered
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- Business, Economics & Management (AREA)
- Engineering & Computer Science (AREA)
- Marketing (AREA)
- Primary Health Care (AREA)
- Health & Medical Sciences (AREA)
- Economics (AREA)
- General Health & Medical Sciences (AREA)
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- Tourism & Hospitality (AREA)
- Physics & Mathematics (AREA)
- General Business, Economics & Management (AREA)
- Mechanical Engineering (AREA)
- Transportation (AREA)
- Traffic Control Systems (AREA)
- Time Recorders, Dirve Recorders, Access Control (AREA)
Abstract
The present invention relates to a system for recognizing an accident of a delivery vehicle, comprising: a shock detection means mounted inside the delivery vehicle so as to detect a shock applied to the delivery vehicle; a travel distance measurement means for measuring a travelled distance of the delivery vehicle; a first camera for recording the situation of the delivery vehicle as a video and storing the video captured for a set storage time; a second camera for photographing the situation of the delivery vehicle as a still image; an accident recognition means for analyzing a detection signal detected by the travel distance measurement means when a shock is detected by the shock detection means so as to determine an accident if the vehicle is in a stop state for a set stop time, controlling the first camera so as to stop recording the video, and driving the second camera so as to capture a still image of the delivery vehicle; and a server in a control center, which receives the recognized video, the recognized still image and accident cause analysis request information from the accident recognition means, analyzes the cause of an accident, and generates accident analysis information.
Description
Technical field
The present invention is a kind of transport vehicle identification of accidental events system.More particularly, the present invention relates to the car accident recognition system of transporting danger or passenger, wherein, acceleration transducer be arranged on carry cargo and passenger vehicle on to detect the impact of vehicle, gps receiver and G sensor are based on vehicle displacement detection accident, and the moving image based on the vehicle-state in order to more accurately manage detects accident pattern with stopping image.
Technical background
In recent years, along with industrial expansion, various increase in demand and in order to satisfy the demands need manufacture various product.
At this, along with the increase of the dangerous goods manufactured a product, its kind also increases.
Due to the increase of dangerous goods demand, quantity and the frequency of dangerous goods transport increase.In transport of dangerous goods, even if above-mentioned dangerous goods are all utilize registered vehicle to transport, also keep away the traffic hazard that unavoidably may occur in transit, and the accident of registered vehicle also increases thereupon.
Although the car accident that the traffic hazard number of times of this dangerous goods is more general than it is relatively few, its extent of injury is serious compared with general traffic hazard.
In addition, the traffic hazard of dangerous goods also causes secondary damage as the destruction of environment.And dangerous goods vehicle has an accident, often cause causing very large threat to life security, also the environment of havoc periphery, also traffic hazard the problems such as second accident may be caused, so should use a systematic procedure monitoring instead of rely on separately judgement and the notice of driver.
In addition, except dangerous goods transport and communications accident, emergency system process monitoring is also necessary to general traffic hazard.
Detailed description of the invention
Technical task
The present invention is the problems referred to above in order to solve correlation technique.The invention provides a kind of car accident recognition system, wherein, the impact of vehicle transport dangerous goods or regular general cargo and passenger and displacement are detected to monitor accident and management accident more accurately in real time.
Particularly, the present invention transports vehicle traffic accident recognition system when danger transports vehicle and general vehicle has an accident, video capture is carried out to accident, the data of the occurrence cause of grasp accident more rapidly and accurately and the objective data of counte-rplan institute foundation are provided.
Technology solution
In order to solve the problems of the technologies described above, the present invention:
A kind of car accident recognition system comprises impulse detection module, displacement measurement module, first camera, second camera, identification of accidental events module and control center's server.Impulse detection module is arranged on vehicle and detects vehicular impact.The displacement of displacement measurement module measuring vehicle.First camera shooting vehicle image is as video and the video storing the schedule time.Second camera shooting vehicle image is as stopping image.Identification of accidental events module, the signal detected from displacement measurement module is analyzed when detecting impact by impulse detection module, after vehicle stops the schedule time, determine car accident, stop the operation of first camera, and start second camera shooting vehicle pictures as stopping image.Control center's server receiver, video, stopping image and the analysis on accident cause solicited message from identification of accidental events module, analyze culprit, and produce crash analysis information.
The feature of foregoing invention is, impulse detection module can comprise acceleration transducer, detects the degree of tilt of vehicle along X, Y and Z-direction.
The feature of foregoing invention is, displacement measurement module can comprise gps receiver, utilizes moonlet, detects vehicle location based on gps signal.
The feature of foregoing invention is, displacement measurement module can comprise G sensor, calculates the displacement of vehicle based on vehicle acceleration.
The feature of foregoing invention is, first camera for being arranged on the post-positioned pick-up head of rear view of vehicle, can take image as video to store the video of the schedule time to vehicle running state.
The feature of foregoing invention is, second camera can for being arranged on the front-facing camera of vehicle front, stopping image when impacting as detection vehicle running state shooting image.
The feature of foregoing invention is, identification of accidental events module can comprise comparison controller, based on the impulse detection signal from impulse detection module and the distance signal investigation from displacement measurement module, produce the analysis on accident cause solicited message of asking crash analysis when detection accident, and from the first and second camera receiver, videos and stopping image; And communications portion, analysis on accident cause solicited message, video and stopping image being sent to control center's server.
The feature of foregoing invention is, control center's server can be analyzed video according to the analysis on accident cause solicited message from identification of accidental events module and stop image, produces crash analysis information, and sends crash analysis information to terminal.
Further, the feature of foregoing invention is, terminal is the smart mobile phone of driver.
Invention beneficial effect
According to exemplary embodiment of the present invention, when having an accident in vehicles drive goods or passenger, acceleration transducer, G sensor or GPS sensor to be arranged on vehicle automatic detection accident before driver's inspection accident.Therefore, artificial or Secondary destruction can be prevented.In addition, control center's investigation culprit also provides the survey report of accident, can the reason that occurs of grasp accident accurately more rapidly, and can carry out corresponding rapidly to accident, has positive effect.
Accompanying drawing is sketched
Fig. 1 is the block diagram that transport vehicle identification of accidental events system of the present invention is described.
Fig. 2 is the process flow diagram that transport vehicle identification of accidental events system of the present invention is described.
< label >
100: transport vehicle 110: impulse detection module
112: acceleration transducer 120: displacement measurement module
122:GPS receiver 123:G sensor
130: first camera 132: second camera
140: identification of accidental events module 142: comparison controller
144: communications portion 200: control center
210: server 300: terminal
Invention most preferred embodiment
The present invention has various change, comprising many different forms, is in order to more detailed explanation invention in the exemplary embodiment of this statement, but should as the restricted explanation to this invention, all distortion, equivalent and substitute that contrary inventive concept and technical field comprise.When being described each figure, similar label represents similar element.Be understandable that, although term first, second grade here can be used for describing different elements, should by the restriction of these terms.These terms are only used to an element and another element to distinguish.Therefore, be no more than under the interest field of this invention, the first element discussed below can be called as the second element and can not deviate from religious doctrine of the present invention.Singulative used herein, its object also comprises plural form, unless context separately has clear and definite instruction.It is to be further understood that term ought be used in the description " to comprise " and/or " by ... composition " time, clear and definite certain characteristic, overall data, step, operation, element, and/or the appearance of assembly, but do not get rid of existence or add other characteristic one or more, overall data, step, operation, element, assembly and/or their group.
Unless otherwise prescribed, all terms used herein (comprising technical term and scientific terminology) have identical implication with the general understanding of those skilled in the art.It will also be appreciated that the term as conventional dictionary definition should be interpreted as having the meaning consistent with association area contextual meaning, unless and expressly provided and can not be interpreted as Utopian or too formal meaning.
Below, exemplary embodiment of the present invention is described in detail with reference to accompanying drawing.
With reference to figure 1, according to car accident recognition system in this exemplary embodiment, the acceleration transducer (112) in the impulse detection module (110) that is arranged on and transports on vehicle (100) is used to detect the impact being applied to and transporting on vehicle (100).Gps receiver (122) in use displacement measurement module (120) and the displacement of G sensor (123) measuring vehicle, and whether occurred by above-mentioned data determination accident, rapid correspondence, further, when vehicle has an accident, can more rapid reply accident accurately.
At this, transport vehicle (100) and comprise the transport vehicle transporting dangerous goods, and transport the general vehicle of general cargo and passenger.
Impulse detection module (110), displacement measurement module (120), first camera (130), second camera (132), identification of accidental events module (140), control center (200) server (210) and terminal (300) is comprised according to the car accident detection system of this exemplary embodiment.Impulse detection module (110) is arranged on transport vehicle (100) and goes up and detect the impact being applied to and transporting on vehicle (100).Displacement measurement module (120) measures the displacement of transporting vehicle (100).First camera (130) shooting transports vehicle (100) image as video and the video storing the schedule time.Second camera (132) shooting transports vehicle (100) image as stopping image.Identification of accidental events module (140), the signal detected from displacement measurement module (120) is analyzed when detecting impact by impulse detection module (110), car accident is determined after vehicle stops the schedule time, stop the operation of first camera (130), and start second camera (132) shooting vehicle pictures as stopping image.Control center's server (210) receiver, video, stopping image and the analysis on accident cause solicited message from identification of accidental events module (140), analyze culprit, and produce crash analysis information.Terminal (300) receives the crash analysis information from control center (200) server (210).
Below, each ingredient of the present invention will be explained in detail.
Impulse detection module (110) is arranged on transport vehicle (100) and goes up and detect the impact being applied to and transporting on vehicle (100), and the acceleration transducer in impulse detection module (110), detects the degree of tilt of vehicle along X, Y and Z-direction.
Displacement measurement module (120) measures the displacement of transporting vehicle (100), and the movement of transport vehicle (100) can be detected.
When particularly impulse detection module (110) detects the impact of haulage vehicle (100), whether displacement measurement module (120) measures the displacement after transport vehicle (100) impact, detect transport vehicle (100) and move after impacting.
Displacement measurement module (120) comprises gps receiver (122) and G sensor (120).This gps receiver (122), utilizes moonlet, detects transport vehicle (100) position based on gps signal.G sensor (120) can not receive the displacement of region based on vehicle acceleration calculating transfer cart (100) of gps signal.
And the video can taking above-mentioned transport vehicle (100) situation or first and second camera (130,132) stopping image being installed.
First camera (130) is arranged on rear view of vehicle, stores the video of the schedule time to transporting traveling state of vehicle shooting image as video.
And first camera (130) is not store the whole driving procedure transporting vehicle (100), such as, the image of first camera (130) shooting schedule time 1-10 minute vehicle in front travel conditions is as video, and store this video, more effectively can use the memory headroom of first camera (130).
Second camera (132) is arranged on vehicle front, takes when detecting and impacting the image transporting vehicle (100) front situation.
When impulse detection module (110) detects impact, second camera (132) shooting transports vehicle (110) traveling ahead status image as stopping image, and second camera (132) is controlled by identification of accidental events module (140).
When the acceleration transducer (112) by impulse detection module (110) detects impact, the distance signal that identification of accidental events module (140) analysis is detected from gps receiver (122) or the G sensor (123) of displacement measurement module (120).Such as, when vehicle stopped more than 10 seconds, the distance signal detected by analysis gps receiver (122) or G sensor (123), identification of accidental events module determination car accident.
When the distance signal of displacement measurement module (120) is greater than scheduled stop time, identification of accidental events module (140) determines car accident, and controls the first and second cameras (130) and (132).Illustrate further, namely above-mentioned identification of accidental events module (140) is determined to have an accident, and stops the video capture of first camera (130) afterwards, and starts second camera (132) shooting vehicle pictures as stopping image.
Identification of accidental events module (140) comprises comparison controller (142) and communications portion (144).The impulse detection signal that comparison controller (142) receives and analyzes from impulse detection module (110) and displacement measurement module (120) and distance signal.Then, when determining accident, comparison controller (142) produces analysis on accident cause solicited message and from the first and second cameras (130) and (132) receiver, video and stopping image.The analysis on accident cause solicited message of comparison controller (142), video and stopping image being sent to control center (200) server (210) by communications portion (144).
Control center (200) server (210) is analyzed video according to the analysis on accident cause solicited message that identification of accidental events module (140) transmits and is stopped image, produce crash analysis information, and send crash analysis information to terminal 300.
At this, the routine analyzer that control center (200) server (210) can be used to set from analysis video and the crash analysis information stopping image obtaining produces, also can by the supvr report of the Direct Analysis video of control center (200) with stopping image.
The analysis on accident cause solicited message that above-mentioned control center (200) server (210) receives, video and stopping image being stored in the server (210) as database, and the crash analysis information that generates of above-mentioned server (210) is also stored in the server (210) as database.
Terminal 300 is analyzed video based on analysis on accident cause solicited message and is stopped image making crash analysis information, and driver is based on the faster more accurately management accident of crash analysis information.Therefore, terminal 300 can be the mobile terminal (comprising smart mobile phone) of driver.
Identification of accidental events module (140) can receive the crash analysis information from control center (200) server (210), and terminal (300) can receive the crash analysis information from identification of accidental events module (140) and can confirm the material that crash analysis is relevant.
Below, for transporting the exemplary embodiment of vehicle traffic accident recognition system with reference to the present invention of figure 1 and Fig. 2.
Transport vehicle (100) to be taken in movement as video (S100).At this, identification of accidental events module (140) is the signal (S110) that inputs from gps receiver (122) and the G sensor (123) of the acceleration transducer (112) of impulse detection module (110) and displacement measurement module (120) of monitoring continuously.
Then, when detecting the impact of transporting on vehicle (100) by impulse detection module (110), when stand-by time exceedes the schedule time (such as, 10 seconds) time, identification of accidental events module (140) is determined to transport vehicle (100) accident (S120) by analyzing the signal detected from the gps receiver (122) in displacement measurement module (120) and G sensor (123) etc.
When determining car accident by identification of accidental events module (140), the first camera (130) arranged after vehicle stops pictures taken as video (record), and second camera (132) the shooting vehicle pictures arranged before being enabled in vehicle is as stopping image (S130).
The video being recorded in first camera (130) schedule time is sent to identification of accidental events module (140).
The analysis on accident cause solicited message requirement analysis culprit that identification of accidental events module (140) produces, and video and stopping image being sent to control center (200) server (210) (S140) from the first and second cameras (130,132).
Control center (200) server (210) is analyzed video according to the analysis on accident cause solicited message from identification of accidental events module (140) and is stopped image, produce crash analysis information, and send crash analysis information to terminal (300).Therefore, driver can management accident more accurately (S150).
Above-mentioned is in order to the present invention is described, is not in order in this restrictive interpretation.Although describe some exemplary embodiments, exemplary embodiment do not have great depart from new religious doctrine disclosed by the invention and advantage under, those skilled in the art may be easy to carry out many amendments from aforementioned.Therefore, all such modifications all should be within the scope of the present invention.
Invention industrial applicibility
The haulage vehicle of transportation of dangerous goods, regular general cargo or general passenger is can be used for according to the car accident recognition system of this exemplary embodiment.
Claims (9)
1. a car accident recognition system, this system comprises:
Impulse detection module, is arranged on vehicle and detects vehicular impact;
Displacement measurement module, the displacement of measuring vehicle;
First camera, shooting vehicle image is as video and the video storing the schedule time;
Second camera, shooting vehicle image is as stopping image;
Identification of accidental events module, the signal detected from displacement measurement module is analyzed when detecting impact by impulse detection module, after vehicle stops the schedule time, determine car accident, stop the operation of first camera, and start second camera shooting vehicle pictures as stopping image; And
Control center's server, receiver, video, stopping image and the analysis on accident cause solicited message from identification of accidental events module, analyze culprit, and produce crash analysis information.
2. the system as claimed in claim 1, wherein, impulse detection module comprises acceleration transducer, detects the degree of tilt of vehicle along X, Y and Z-direction.
3. the system as claimed in claim 1, wherein, displacement measurement module comprises gps receiver, utilizes moonlet, detects vehicle location based on gps signal.
4. the system as claimed in claim 1, wherein, displacement measurement module comprises G sensor, calculates the displacement of vehicle based on vehicle acceleration.
5. the system as claimed in claim 1, wherein, first camera is the post-positioned pick-up head being arranged on rear view of vehicle, takes image as video to store the video of the schedule time to vehicle running state.
6. the system as claimed in claim 1, wherein, second camera is the front-facing camera being arranged on vehicle front, to vehicle running state shooting image as the stopping image detecting when impacting.
7. the system as claimed in claim 1, wherein, identification of accidental events module comprises:
Comparison controller, situation is analyzed based on the impulse detection signal from impulse detection module and the distance signal from displacement measurement module, the analysis on accident cause solicited message of request crash analysis is produced when determining accident, and from the first and second camera receiver, videos and stopping image; And
Communications portion, is sent to control center's server by analysis on accident cause solicited message, video and stopping image.
8. the system as claimed in claim 1, wherein, control center's server is analyzed video according to the analysis on accident cause solicited message from identification of accidental events module and is stopped image, produces crash analysis information, and sends crash analysis information to terminal.
9. the system as claimed in claim 1, wherein, above-mentioned terminal is the smart mobile phone of driver.
Applications Claiming Priority (3)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| KR10-2012-0126367 | 2012-11-08 | ||
| KR1020120126367A KR20140059677A (en) | 2012-11-08 | 2012-11-08 | Accident recognition system for railway vehicle |
| PCT/KR2013/007758 WO2014073779A1 (en) | 2012-11-08 | 2013-08-29 | System for recognizing accident of delivery vehicle |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN104769637A true CN104769637A (en) | 2015-07-08 |
Family
ID=50684836
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201380058177.0A Pending CN104769637A (en) | 2012-11-08 | 2013-08-29 | System for recognizing accident of delivery vehicle |
Country Status (3)
| Country | Link |
|---|---|
| KR (1) | KR20140059677A (en) |
| CN (1) | CN104769637A (en) |
| WO (1) | WO2014073779A1 (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112334954A (en) * | 2018-04-27 | 2021-02-05 | R·罗滕布勒 | System for collecting personal accident data in a vehicle |
Families Citing this family (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR101665635B1 (en) * | 2014-12-17 | 2016-10-13 | (주)에이텍티앤 | Traffic flow analysis system using driving data of vehicle terminal and method for traffic guide service therefor |
| KR101645602B1 (en) | 2015-03-31 | 2016-08-12 | 김경수 | Apparatus for detecting cable failure place |
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| KR20020080281A (en) * | 2002-07-25 | 2002-10-23 | (주) It 커뮤니티 | Device of Auto Tele-Emergency Communication Using Personal Data Association |
| JP2005032027A (en) * | 2003-07-07 | 2005-02-03 | Nec Fielding Ltd | Traffic accident early solution system, accident detection system, and accident analysis server |
| KR20060053662A (en) * | 2004-11-17 | 2006-05-22 | 현대자동차주식회사 | Accident memory device of vehicle and method thereof and method of accident memory analysis |
| CN102542630A (en) * | 2010-12-17 | 2012-07-04 | 海德威电子工业股份有限公司 | Driving information system |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| KR101107635B1 (en) * | 2010-06-10 | 2012-01-25 | 성균관대학교산학협력단 | Apparatus and method for exchanging accident informaion of vehicle |
| KR101121830B1 (en) * | 2011-12-08 | 2012-03-21 | 주식회사 엘지유플러스 | Accident detecting service and system using vehicle operation data |
-
2012
- 2012-11-08 KR KR1020120126367A patent/KR20140059677A/en active Application Filing
-
2013
- 2013-08-29 CN CN201380058177.0A patent/CN104769637A/en active Pending
- 2013-08-29 WO PCT/KR2013/007758 patent/WO2014073779A1/en active Application Filing
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR20020080281A (en) * | 2002-07-25 | 2002-10-23 | (주) It 커뮤니티 | Device of Auto Tele-Emergency Communication Using Personal Data Association |
| JP2005032027A (en) * | 2003-07-07 | 2005-02-03 | Nec Fielding Ltd | Traffic accident early solution system, accident detection system, and accident analysis server |
| KR20060053662A (en) * | 2004-11-17 | 2006-05-22 | 현대자동차주식회사 | Accident memory device of vehicle and method thereof and method of accident memory analysis |
| CN102542630A (en) * | 2010-12-17 | 2012-07-04 | 海德威电子工业股份有限公司 | Driving information system |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112334954A (en) * | 2018-04-27 | 2021-02-05 | R·罗滕布勒 | System for collecting personal accident data in a vehicle |
Also Published As
| Publication number | Publication date |
|---|---|
| WO2014073779A1 (en) | 2014-05-15 |
| KR20140059677A (en) | 2014-05-16 |
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Application publication date: 20150708 |