CN111508232A - Road safety snapshot all-in-one - Google Patents
Road safety snapshot all-in-one Download PDFInfo
- Publication number
- CN111508232A CN111508232A CN202010299227.6A CN202010299227A CN111508232A CN 111508232 A CN111508232 A CN 111508232A CN 202010299227 A CN202010299227 A CN 202010299227A CN 111508232 A CN111508232 A CN 111508232A
- Authority
- CN
- China
- Prior art keywords
- vehicle
- snapshot
- module
- driving
- image
- 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.)
- Pending
Links
- 230000006399 behavior Effects 0.000 claims abstract description 40
- 230000007613 environmental effect Effects 0.000 claims abstract description 8
- 238000004891 communication Methods 0.000 claims description 8
- 230000001133 acceleration Effects 0.000 claims description 5
- 230000009471 action Effects 0.000 description 3
- 230000009286 beneficial effect Effects 0.000 description 3
- 210000003128 head Anatomy 0.000 description 3
- 238000009434 installation Methods 0.000 description 3
- 230000005856 abnormality Effects 0.000 description 2
- 238000013461 design Methods 0.000 description 2
- 230000000694 effects Effects 0.000 description 2
- 210000001508 eye Anatomy 0.000 description 2
- 230000006872 improvement Effects 0.000 description 2
- 230000010354 integration Effects 0.000 description 2
- 230000008560 physiological behavior Effects 0.000 description 2
- 230000001737 promoting effect Effects 0.000 description 2
- 230000005540 biological transmission Effects 0.000 description 1
- 210000005252 bulbus oculi Anatomy 0.000 description 1
- 238000012937 correction Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 230000008909 emotion recognition Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 230000002349 favourable effect Effects 0.000 description 1
- 239000003292 glue Substances 0.000 description 1
- 238000000034 method Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000000877 morphologic effect Effects 0.000 description 1
- 238000012545 processing Methods 0.000 description 1
- 230000000007 visual effect Effects 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/017—Detecting movement of traffic to be counted or controlled identifying vehicles
- G08G1/0175—Detecting movement of traffic to be counted or controlled identifying vehicles by photographing vehicles, e.g. when violating traffic rules
-
- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/02—Alarms for ensuring the safety of persons
- G08B21/06—Alarms for ensuring the safety of persons indicating a condition of sleep, e.g. anti-dozing alarms
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/04—Detecting movement of traffic to be counted or controlled using optical or ultrasonic detectors
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/09—Arrangements for giving variable traffic instructions
- G08G1/0962—Arrangements for giving variable traffic instructions having an indicator mounted inside the vehicle, e.g. giving voice messages
Landscapes
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Business, Economics & Management (AREA)
- Emergency Management (AREA)
- Traffic Control Systems (AREA)
Abstract
The invention discloses a road safety snapshot all-in-one machine, which is applied to vehicle-mounted equipment and comprises the following components: the control module comprises a driving auxiliary system module, a fatigue driving early warning system module and a snapshot module, the driving auxiliary system module is used for judging whether the vehicle environmental condition of the current position of the vehicle is matched with the preset vehicle environmental condition, and if not, snapshot control data and alarm control data are generated; the fatigue driving early warning system module is used for analyzing the physiological characteristic behaviors of the driver, and generating alarm control data if the analysis result comprises that the physiological characteristic behaviors of the driver are matched with the preset physiological characteristic behaviors; the snapshot module is used for acquiring images in a preset direction, and the preset direction at least comprises the front direction of the vehicle. The road safety snapshot all-in-one machine can realize the driving assistance function, the fatigue driving early warning function and the snapshot recording function.
Description
Technical Field
The invention relates to a vehicle-mounted product technology, in particular to a road safety snapshot all-in-one machine.
Background
In vehicle-mounted products, Advanced Driving Assistance Systems (ADAS) are often involved, and vehicle owners can detect vehicle conditions by using the ADAS to improve Driving comfort and safety. However, in many scenes, it is difficult to realize the function of snapshotting the safe driving of the vehicle and the violation of the other vehicles, and the function is single, so that the method cannot be well adapted to information recording under complex vehicle conditions.
Disclosure of Invention
The invention provides a road safety snapshot all-in-one machine aiming at the problem of single function of the existing vehicle-mounted product.
The technical scheme provided by the invention for the technical problem is as follows:
the utility model provides a road safety snapshot all-in-one, is applied to the mobile unit on, includes:
the driving warning system comprises an image acquisition module, a warning module and a warning module, wherein the image acquisition module comprises a driving auxiliary system image collector, a fatigue driving warning system image collector and a snapshot image collector;
the vehicle state information acquisition module is used for acquiring current vehicle state parameter data, wherein the state parameter data at least comprises driving state, driving speed and acceleration information;
the satellite positioning module is used for acquiring current real-time geographic data;
the control module comprises a driving auxiliary system module, a fatigue driving early warning system module and a snapshot module, wherein the driving auxiliary system module is used for receiving image data acquired by an image acquisition device of the driving auxiliary system, the real-time geographic data and the vehicle state parameter data so as to monitor the environment condition of the vehicle to judge whether the environment condition of the vehicle at the current position of the vehicle is matched with the preset environment condition of the vehicle, and if not, snapshot control data and alarm control data are generated;
the fatigue driving early warning system module is used for receiving the images acquired by the image acquisition device of the fatigue driving early warning system so as to analyze the physiological characteristic behaviors of the driver, and if the analysis result comprises that the physiological characteristic behaviors of the driver are matched with the preset physiological characteristic behaviors, alarm control data is generated;
the snapshot module is used for controlling the snapshot image collector to snapshot after receiving the snapshot control data so as to obtain images in a preset direction, and the preset direction at least comprises the front direction of the vehicle.
Preferably, the snapshot module is further configured to receive an image collected by the snapshot image collector so as to identify a violation of a vehicle in a preset direction, and when the violation of the vehicle in the preset direction is identified, the snapshot image collector is controlled to snapshot the image in the preset direction.
Preferably, the fatigue driving early warning system module is used for receiving the images collected by the image collector of the fatigue driving early warning system so as to analyze the fatigue state and/or the distraction state of the physiological characteristic behaviors of the driver;
if the fatigue state analysis result comprises that the fatigue characteristic behavior of the driver is matched with the preset fatigue characteristic, generating alarm control data; and/or the presence of a gas in the gas,
and if the distraction state analysis result comprises that the distraction characteristic behaviors of the driver are matched with the preset distraction characteristic behaviors, generating alarm control data.
Preferably, the determining the vehicle environmental condition of the own vehicle at least includes:
judging whether the vehicle is in a lane line of a lane or not;
and judging the relative position of the vehicle in the lane.
Preferably, the determining of the environmental condition of the vehicle further includes determining whether the vehicle is included in front of the vehicle, and if the vehicle is included, generating snapshot control data to control the snapshot module to snapshot a license plate, a vehicle type and an appearance of the vehicle in front of the vehicle.
Preferably, the driving system assistance module is further configured to acquire image data received by the captured image collector, so as to correct the vehicle environment condition at the current position where the vehicle is determined to be.
Preferably, the driving assistance system image collector includes a short-focus wide-angle lens; the snap-shot image collector comprises a long-focus distortion-free lens.
Preferably, the communication module is configured to receive captured image data and upload the captured image data to a preset server.
Preferably, the driver physiological characteristic behaviors at least include a head physiological characteristic behavior, a face physiological characteristic behavior and an eye physiological characteristic behavior.
Preferably, the system further comprises an alarm module for executing the alarm control data.
The technical scheme provided by the embodiment of the invention has the following beneficial effects:
the road safety snapshot all-in-one machine provided by the embodiment can realize the functions of a driving auxiliary system, a fatigue driving early warning function and a snapshot function at the same time, provides more abundant vehicle-mounted functions for users, and timely warns drivers to achieve the driving reminding effect by generating alarm control data. Meanwhile, the snapshot image collector can be controlled in time to take a snapshot action according to the current vehicle environment condition of the vehicle to acquire the image in the preset direction, so that key images such as violation of regulation of other vehicles and abnormality of other vehicles can be recorded, and the prompt of the driver to improve the driving attention and the rapid evidence storage of the key images can be facilitated. In addition, integrated as the integrative design of a road safety snapshot all-in-one, can reduce the occupation to the car inner space, installation and wiring are less to the inside destructiveness of automobile body, and avoid because of installing too much equipment in the car and give the driver the too much problem of sheltering from that the field of vision caused, help promoting driver's the security of driving.
Furthermore, the road safety snapshot all-in-one machine provided by the invention can realize a vehicle-mounted driving auxiliary function, a fatigue driving early warning function and a snapshot recording function, can realize the sharing of the driving auxiliary function and the snapshot recording algorithm, and is also beneficial to improving the accuracy of judging the vehicle environment condition of the position of the vehicle, and the function integration level is relatively high.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
Fig. 1 is a block diagram of a road safety snapshot all-in-one machine provided by the invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, embodiments of the present invention will be described in detail with reference to the accompanying drawings.
Referring to fig. 1, the road safety snapshot all-in-one machine 1 is applied to a vehicle and may include an image acquisition module 11, a vehicle state information acquisition module 12, a satellite positioning module 13, and a control module 14, where the image acquisition module 11 may include A Driving Assistance System (ADAS) image collector, a Fatigue driving early warning System (DMS) image collector, and a snapshot image collector, and the three corresponding image collectors may respectively realize an acquisition function by three corresponding cameras. Here, the camera lens that corresponds to the image capturing function of the driving assistance system image capturing device is preferably a short-focus wide-angle lens, and the camera lens that corresponds to the image capturing function of the snapshot image capturing device is preferably a long-focus distortion-free lens.
The vehicle state information acquisition module 12 is configured to acquire current vehicle state parameter data of the vehicle, where the vehicle state parameter data at least includes a driving state, a driving speed, and acceleration information, and can provide information of a vehicle, such as rapid acceleration, rapid deceleration, and an excessive lateral acceleration, and help to make a judgment on a vehicle collision and a vehicle rollover warning light.
The satellite positioning module 13 is configured to acquire current real-time geographic data, and may specifically be a beidou satellite positioning module, a GPS satellite positioning module, a Galileo positioning module, and/or a Glonass positioning module.
The control module 14 includes a driving assistance system module 141, a fatigue driving early warning system module 142, and a snapshot module 143, where the driving assistance system module 141 is configured to receive image data acquired by the driving assistance system image acquirer, the real-time geographic data, and the vehicle state parameter data to monitor an environment condition of the vehicle to determine whether the vehicle environment condition of the current position of the vehicle matches a preset vehicle environment condition, and if not, generate snapshot control data and alarm control data.
The fatigue driving early warning system module 142 is configured to receive an image acquired by the image acquisition device of the fatigue driving early warning system to analyze the physiological characteristic behavior of the driver, and generate alarm control data if the analysis result includes that the physiological characteristic behavior of the driver matches a preset physiological characteristic behavior. Specifically, the physiological characteristic behaviors of the driver herein at least include a head physiological characteristic behavior, a face physiological characteristic behavior and an eye physiological characteristic behavior, the current state of the driver can be judged by using a head action algorithm, a face emotion recognition algorithm, an eyeball tracking algorithm and an attention recognition algorithm, the preset physiological characteristic behavior is a physiological behavior which is not in accordance with safe driving (that is, the state of the driver is not in accordance with the safe driving state), and when the current state of the driver is identified to be not in accordance with the safe driving physiological behavior, alarm control data is generated to remind the driver of safe driving.
The snapshot module 143 is configured to control the snapshot image collector to snapshot an image in a preset direction after receiving the snapshot control data, where the preset direction at least includes a direction in front of the vehicle.
Specifically, the aforementioned determining the vehicle environmental condition of the host vehicle may include:
1) judging whether the vehicle is in a lane line of the lane;
2) and judging the relative position of the vehicle in the lane.
It is understood that the preset vehicle environment state may include:
corresponding to 1), the vehicle is in the lane line of the lane;
corresponding to 2), the relative position of the host vehicle within the lane.
The determining of the environmental condition of the vehicle may further include determining whether the vehicle (including a motor vehicle and a non-motor vehicle) is included in front of the vehicle, specifically, the determining may be performed by using a vehicle image feature recognition algorithm, and if the vehicle is determined to be included in front of the vehicle, generating snapshot control data to control the snapshot module to snapshot a license plate, a vehicle type, and an appearance of the vehicle in front of the vehicle.
In addition, the determining of the vehicle environment condition of the host vehicle in the embodiment may further include determining whether the host vehicle includes a pedestrian in front of the host vehicle, specifically, determining by using a passerby recognition algorithm, and if it is determined that the host vehicle includes a passerby in front of the host vehicle, generating snapshot control data to control the snapshot module to snapshot the morphological physical signs of the passerby in front of the host vehicle.
It can be understood that the snapshot image collector comprises a camera lens which can automatically or manually adjust the shooting direction so as to snapshot more image details of the target. Of course, in other embodiments, the snapshot image collector and the driving assistance system image collector may also adopt the same camera to collect corresponding images.
Further, the driving system assisting module 141 may be further configured to acquire image data received by the snapshot image collector, so as to correct the vehicle environment condition of the current position where the vehicle is judged, and realize correction by combining the image data collected by the two image collectors, thereby improving the accuracy of judgment.
It can be understood that the host machine body comprises a vehicle state information acquisition module, a satellite position module, a control module, a communication module and an alarm module, and further comprises a storage module for storing generated image data and other data, and is also favorable for the associated storage of the associated data, and the efficiency of data processing is favorably improved.
The road safety snapshot all-in-one machine provided by the embodiment can realize the functions of a driving auxiliary system, a fatigue driving early warning function and a snapshot function at the same time, provides more abundant vehicle-mounted functions for users, and timely warns drivers to achieve the driving reminding effect by generating alarm control data. Meanwhile, the snapshot image collector can be controlled in time to take a snapshot action according to the current vehicle environment condition of the vehicle to acquire the image in the preset direction, so that key images such as violation of regulation of other vehicles and abnormality of other vehicles can be recorded, and the prompt of the driver to improve the driving attention and the rapid evidence storage of the key images can be facilitated. In addition, integrated as the integrative design of a road safety snapshot all-in-one, can reduce the occupation to the car inner space, installation and wiring are less to the inside destructiveness of automobile body, and avoid because of installing too much equipment in the car and give the driver the too much problem of sheltering from that the field of vision caused, help promoting driver's the security of driving.
Furthermore, the road safety snapshot all-in-one machine provided by the invention can also comprise a communication module, wherein the communication module is used for receiving the captured image data and uploading the captured image data to a preset server, and also can quickly upload key images such as records of other vehicle violations to the preset server, and the preset server can be a server appointed by a supervision department or a server independently set by a driver. Specifically, the communication module may be a 4G/WiFi transmission module.
Further, the fatigue driving early warning system module 142 may be further configured to receive the image collected by the image collector of the fatigue driving early warning system to perform fatigue state analysis and/or distraction state analysis on the physiological characteristic behavior of the driver. If the fatigue state analysis result comprises that the fatigue characteristic behavior of the driver is matched with the preset fatigue characteristic, generating alarm control data; and/or generating alarm control data if the distraction status analysis result comprises that the distraction characteristic behaviors of the driver are matched with the preset distraction characteristic behaviors. By utilizing the fatigue driving early warning system module 142, the driver can be reminded of driving safely in time, and the improvement of the driving attention of the driver is facilitated.
The snapshot module 143 can also be used for receiving the image collected by the snapshot image collector to identify the violation behaviors of the vehicle in the preset direction, and when the violation behaviors of the vehicle in the preset direction are identified, the snapshot image collector is controlled to snapshot the image in the preset direction. It can be understood that the existing image violation identification algorithm can be adopted to identify the violation behaviors of the vehicle in the preset direction.
The road safety snapshot all-in-one machine provided by the invention also comprises an alarm module used for executing the alarm control data, wherein the alarm module comprises an audible and visual alarm, and can be connected with the communication module to send alarm information.
When the road safety snapshot all-in-one machine provided by the invention is applied, the road safety snapshot all-in-one machine can comprise two machine body parts, including a main machine body and a fatigue driving early warning system image collector body part, wherein the main machine body can be adhered to the front windshield of a vehicle by 3M glue, the fatigue driving early warning system image collector can be arranged above a central console in the vehicle to aim at a driver, and the arrangement position of the fatigue driving early warning system image collector camera is 0.8-1.2 meters away from the driver, so that the angle-adjustable camera capable of realizing the up-and-down arbitrary angle adjustment can be realized. The driving auxiliary system image collector and the camera of the snapshot image collector are both arranged on the main machine body.
The road safety snapshot all-in-one machine provided by the invention can realize a vehicle-mounted driving auxiliary function, a fatigue driving early warning function and a snapshot recording function, can realize the sharing of the driving auxiliary function and the snapshot recording algorithm, and is also beneficial to improving the accuracy of judging the vehicle environment condition of the position of the vehicle, the function integration level is relatively high, and the required installation space in the vehicle is relatively small.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents, improvements and the like that fall within the spirit and principle of the present invention are intended to be included therein.
Claims (10)
1. The utility model provides a road safety all-in-one of taking a candid photograph, is applied to the mobile unit, its characterized in that includes:
the driving warning system comprises an image acquisition module, a warning module and a warning module, wherein the image acquisition module comprises a driving auxiliary system image collector, a fatigue driving warning system image collector and a snapshot image collector;
the vehicle state information acquisition module is used for acquiring current vehicle state parameter data, wherein the state parameter data at least comprises driving state, driving speed and acceleration information;
the satellite positioning module is used for acquiring current real-time geographic data;
the control module comprises a driving auxiliary system module, a fatigue driving early warning system module and a snapshot module, wherein the driving auxiliary system module is used for receiving image data acquired by an image acquisition device of the driving auxiliary system, the real-time geographic data and the vehicle state parameter data so as to monitor the environment condition of the vehicle to judge whether the environment condition of the vehicle at the current position of the vehicle is matched with the preset environment condition of the vehicle, and if not, snapshot control data and alarm control data are generated;
the fatigue driving early warning system module is used for receiving the images acquired by the image acquisition device of the fatigue driving early warning system so as to analyze the physiological characteristic behaviors of the driver, and if the analysis result comprises that the physiological characteristic behaviors of the driver are matched with the preset physiological characteristic behaviors, alarm control data is generated;
the snapshot module is used for controlling the snapshot image collector to snapshot after receiving the snapshot control data so as to obtain images in a preset direction, and the preset direction at least comprises the front direction of the vehicle.
2. The road safety snapshot all-in-one machine of claim 1, wherein the snapshot module is further configured to receive the image collected by the snapshot image collector to identify a violation of a vehicle in a preset direction, and control the snapshot image collector to snapshot the image in the preset direction when the violation of the vehicle in the preset direction is identified.
3. The road safety snapshot all-in-one machine of claim 2, wherein the fatigue driving early warning system module is configured to receive images collected by the fatigue driving early warning system image collector to perform fatigue state analysis and/or distraction state analysis on physiological characteristic behaviors of a driver;
if the fatigue state analysis result comprises that the fatigue characteristic behavior of the driver is matched with the preset fatigue characteristic, generating alarm control data; and/or the presence of a gas in the gas,
and if the distraction state analysis result comprises that the distraction characteristic behaviors of the driver are matched with the preset distraction characteristic behaviors, generating alarm control data.
4. The all-in-one machine for road safety snapshot according to claim 1, wherein the determining of the environmental condition of the vehicle in which the vehicle is located at least comprises:
judging whether the vehicle is in a lane line of a lane or not;
and judging the relative position of the vehicle in the lane.
5. The all-in-one machine for road safety snapshot according to claim 4, wherein the determining of the environmental condition of the vehicle in which the vehicle is located further comprises determining whether the vehicle is included in front of the vehicle, and if the vehicle is included, generating snapshot control data to control the snapshot module to snapshot a license plate, a model and an appearance of the vehicle in front of the vehicle.
6. The road safety snapshot all-in-one machine of claim 4, wherein the driving system auxiliary module is further configured to acquire image data received by the snapshot image collector, so as to correct the vehicle environment condition of the current position where the vehicle is determined to be.
7. The all-in-one machine for road safety snapshot according to claim 1, wherein the driving assistance system image collector comprises a short-focus wide-angle lens; the snap-shot image collector comprises a long-focus distortion-free lens.
8. The all-in-one machine for road safety snapshot according to claim 1, further comprising a communication module, wherein the communication module is used for receiving the captured image data and uploading the captured image data to a preset server.
9. The all-in-one machine for road safety snapshot according to claim 1, wherein the driver physiological characteristic behaviors at least comprise a head physiological characteristic behavior, a face physiological characteristic behavior and an eye physiological characteristic behavior.
10. The all-in-one machine for road safety snapshot according to claim 1, further comprising an alarm module for executing the alarm control data.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010299227.6A CN111508232A (en) | 2020-04-16 | 2020-04-16 | Road safety snapshot all-in-one |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010299227.6A CN111508232A (en) | 2020-04-16 | 2020-04-16 | Road safety snapshot all-in-one |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN111508232A true CN111508232A (en) | 2020-08-07 |
Family
ID=71876158
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202010299227.6A Pending CN111508232A (en) | 2020-04-16 | 2020-04-16 | Road safety snapshot all-in-one |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN111508232A (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112261581A (en) * | 2020-10-28 | 2021-01-22 | 成都中科大旗软件股份有限公司 | Tourism bus supervision system based on GIS map and multiple positioning |
| CN112907982A (en) * | 2021-04-09 | 2021-06-04 | 济南博观智能科技有限公司 | Method, device and medium for detecting vehicle illegal parking behavior |
Citations (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20100102988A1 (en) * | 2008-10-28 | 2010-04-29 | Chi Mei Communication Systems, Inc. | Driving conditions monitoring device and method thereof |
| US20110006903A1 (en) * | 2009-07-08 | 2011-01-13 | Wolfgang Niem | Assistance system for a motor vehicle |
| CN101992778A (en) * | 2010-08-24 | 2011-03-30 | 上海科世达-华阳汽车电器有限公司 | Lane deviation early warning and driving recording system and method |
| CN204833703U (en) * | 2015-07-07 | 2015-12-02 | 江苏智运科技发展有限公司 | Bus special lane monitoring device based on automobile -mounted terminal |
| CN105151049A (en) * | 2015-08-27 | 2015-12-16 | 嘉兴艾特远信息技术有限公司 | Early warning system based on driver face features and lane departure detection |
| CN105216690A (en) * | 2015-09-22 | 2016-01-06 | 何承鹏 | A kind of vehicle security drive responds to system for prompting automatically |
| CN105788028A (en) * | 2016-03-21 | 2016-07-20 | 上海仰笑信息科技有限公司 | Automobile data recorder with fatigue driving pre-warning function |
| US20170097642A1 (en) * | 2015-09-16 | 2017-04-06 | Denso Corporation | Apparatus for correcting vehicle location |
| CN107972671A (en) * | 2017-07-19 | 2018-05-01 | 宁波诺丁汉大学 | A kind of driving behavior analysis system |
| CN108154686A (en) * | 2018-02-12 | 2018-06-12 | 苏州清研微视电子科技有限公司 | A kind of vehicle-mounted act of violating regulations capturing system |
| CN208092949U (en) * | 2017-12-18 | 2018-11-13 | 杭州好好开车科技有限公司 | A kind of photographic device of automatic candid photograph vehicle peccancy lane change |
| CN208344074U (en) * | 2018-04-27 | 2019-01-08 | 南京行车宝智能科技有限公司 | A kind of comprehensive DAS (Driver Assistant System) of the automobile based on machine vision |
| CN110120167A (en) * | 2019-05-05 | 2019-08-13 | 浙江合众新能源汽车有限公司 | A kind of learner-driven vehicle auxiliary exercise system |
-
2020
- 2020-04-16 CN CN202010299227.6A patent/CN111508232A/en active Pending
Patent Citations (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20100102988A1 (en) * | 2008-10-28 | 2010-04-29 | Chi Mei Communication Systems, Inc. | Driving conditions monitoring device and method thereof |
| US20110006903A1 (en) * | 2009-07-08 | 2011-01-13 | Wolfgang Niem | Assistance system for a motor vehicle |
| CN101992778A (en) * | 2010-08-24 | 2011-03-30 | 上海科世达-华阳汽车电器有限公司 | Lane deviation early warning and driving recording system and method |
| CN204833703U (en) * | 2015-07-07 | 2015-12-02 | 江苏智运科技发展有限公司 | Bus special lane monitoring device based on automobile -mounted terminal |
| CN105151049A (en) * | 2015-08-27 | 2015-12-16 | 嘉兴艾特远信息技术有限公司 | Early warning system based on driver face features and lane departure detection |
| US20170097642A1 (en) * | 2015-09-16 | 2017-04-06 | Denso Corporation | Apparatus for correcting vehicle location |
| CN105216690A (en) * | 2015-09-22 | 2016-01-06 | 何承鹏 | A kind of vehicle security drive responds to system for prompting automatically |
| CN105788028A (en) * | 2016-03-21 | 2016-07-20 | 上海仰笑信息科技有限公司 | Automobile data recorder with fatigue driving pre-warning function |
| CN107972671A (en) * | 2017-07-19 | 2018-05-01 | 宁波诺丁汉大学 | A kind of driving behavior analysis system |
| CN208092949U (en) * | 2017-12-18 | 2018-11-13 | 杭州好好开车科技有限公司 | A kind of photographic device of automatic candid photograph vehicle peccancy lane change |
| CN108154686A (en) * | 2018-02-12 | 2018-06-12 | 苏州清研微视电子科技有限公司 | A kind of vehicle-mounted act of violating regulations capturing system |
| CN208344074U (en) * | 2018-04-27 | 2019-01-08 | 南京行车宝智能科技有限公司 | A kind of comprehensive DAS (Driver Assistant System) of the automobile based on machine vision |
| CN110120167A (en) * | 2019-05-05 | 2019-08-13 | 浙江合众新能源汽车有限公司 | A kind of learner-driven vehicle auxiliary exercise system |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112261581A (en) * | 2020-10-28 | 2021-01-22 | 成都中科大旗软件股份有限公司 | Tourism bus supervision system based on GIS map and multiple positioning |
| CN112907982A (en) * | 2021-04-09 | 2021-06-04 | 济南博观智能科技有限公司 | Method, device and medium for detecting vehicle illegal parking behavior |
| CN112907982B (en) * | 2021-04-09 | 2022-12-13 | 济南博观智能科技有限公司 | Method, device and medium for detecting vehicle illegal parking behavior |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN107608388B (en) | Autonomous police vehicle | |
| CN203854604U (en) | Intelligent blind spot monitoring device for automobile | |
| US10189482B2 (en) | Apparatus, system and method for personalized settings for driver assistance systems | |
| CN1332832C (en) | In-vehicle camera applications selecting system and apparatus thereof | |
| EP3475135A1 (en) | Apparatus, system and method for personalized settings for driver assistance systems | |
| CN104875681A (en) | Dynamic vehicle-mounted camera control method based on application scenarios | |
| CN105564343B (en) | Apparatus and method for connecting mobile camera device | |
| CN109839281B (en) | Real vehicle test acquisition system and method | |
| CN105329168A (en) | Head up display system and method with driving recording function and driving assistance function | |
| US11731637B2 (en) | Driver assistance system | |
| CN105599679A (en) | Apparatus and method for controlling displaying forward information of vehicle | |
| JPWO2018037950A1 (en) | Vehicle state control device and method, and vehicle | |
| EP3882883A1 (en) | Information processing device, information processing method, and program | |
| CN109720352B (en) | Vehicle driving assistance control method and apparatus | |
| CN111508232A (en) | Road safety snapshot all-in-one | |
| JP2017027546A (en) | Parking position guide system | |
| CN115760970A (en) | System and method for capturing images of the surroundings of a vehicle for insurance claim processing | |
| CN111818160A (en) | Vehicle-mounted machine equipment | |
| CN101655374A (en) | GPS device with motion sensor control and image taking device and control method thereof | |
| CN111559386A (en) | Short-range communication-based vehicle presentation generation for vehicle displays | |
| CN113205686A (en) | 360-degree panoramic wireless safety auxiliary system for rear loading of motor vehicle | |
| EP2580744B1 (en) | Telematic appliance for vehicles | |
| DE112018004773T5 (en) | INFORMATION PROCESSING DEVICE, INFORMATION PROCESSING PROCESS, PROGRAM AND VEHICLE | |
| CN115743031A (en) | System and method for deterrence of intruders | |
| CN113570751A (en) | Vehicle event data recorder system of panorama clitellum camera |
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 | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20200807 |
|
| RJ01 | Rejection of invention patent application after publication |