CN113022557A - Vehicle-mounted monitoring system and method based on active safety early warning - Google Patents
Vehicle-mounted monitoring system and method based on active safety early warning Download PDFInfo
- Publication number
- CN113022557A CN113022557A CN202110400306.6A CN202110400306A CN113022557A CN 113022557 A CN113022557 A CN 113022557A CN 202110400306 A CN202110400306 A CN 202110400306A CN 113022557 A CN113022557 A CN 113022557A
- Authority
- CN
- China
- Prior art keywords
- vehicle
- early warning
- information
- unit
- active safety
- 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
- 238000012544 monitoring process Methods 0.000 title claims abstract description 66
- 238000000034 method Methods 0.000 title claims abstract description 49
- 230000002929 anti-fatigue Effects 0.000 claims abstract description 62
- 230000002159 abnormal effect Effects 0.000 claims description 39
- 238000012545 processing Methods 0.000 claims description 36
- 230000006399 behavior Effects 0.000 claims description 27
- 238000004891 communication Methods 0.000 claims description 12
- 230000002265 prevention Effects 0.000 claims description 9
- 230000005540 biological transmission Effects 0.000 claims description 3
- 230000009286 beneficial effect Effects 0.000 abstract description 4
- 238000010586 diagram Methods 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 230000007547 defect Effects 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000010606 normalization Methods 0.000 description 1
- 238000012549 training Methods 0.000 description 1
Images
Classifications
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W30/00—Purposes of road vehicle drive control systems not related to the control of a particular sub-unit, e.g. of systems using conjoint control of vehicle sub-units
- B60W30/08—Active safety systems predicting or avoiding probable or impending collision or attempting to minimise its consequences
- B60W30/09—Taking automatic action to avoid collision, e.g. braking and steering
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W40/00—Estimation or calculation of non-directly measurable driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, e.g. by using mathematical models
- B60W40/02—Estimation or calculation of non-directly measurable driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, e.g. by using mathematical models related to ambient conditions
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W40/00—Estimation or calculation of non-directly measurable driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, e.g. by using mathematical models
- B60W40/08—Estimation or calculation of non-directly measurable driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, e.g. by using mathematical models related to drivers or passengers
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W40/00—Estimation or calculation of non-directly measurable driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, e.g. by using mathematical models
- B60W40/10—Estimation or calculation of non-directly measurable driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, e.g. by using mathematical models related to vehicle motion
- B60W40/105—Speed
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W50/00—Details of control systems for road vehicle drive control not related to the control of a particular sub-unit, e.g. process diagnostic or vehicle driver interfaces
- B60W50/08—Interaction between the driver and the control system
- B60W50/14—Means for informing the driver, warning the driver or prompting a driver intervention
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W40/00—Estimation or calculation of non-directly measurable driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, e.g. by using mathematical models
- B60W40/08—Estimation or calculation of non-directly measurable driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, e.g. by using mathematical models related to drivers or passengers
- B60W2040/0818—Inactivity or incapacity of driver
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W50/00—Details of control systems for road vehicle drive control not related to the control of a particular sub-unit, e.g. process diagnostic or vehicle driver interfaces
- B60W50/08—Interaction between the driver and the control system
- B60W50/14—Means for informing the driver, warning the driver or prompting a driver intervention
- B60W2050/143—Alarm means
Landscapes
- Engineering & Computer Science (AREA)
- Automation & Control Theory (AREA)
- Transportation (AREA)
- Mechanical Engineering (AREA)
- Physics & Mathematics (AREA)
- Mathematical Physics (AREA)
- Human Computer Interaction (AREA)
- Traffic Control Systems (AREA)
Abstract
The invention discloses a vehicle-mounted monitoring system and a method based on active safety early warning, wherein the system comprises a monitoring background and a plurality of vehicle-mounted embedded devices positioned on different vehicles; the vehicle-mounted embedded equipment is used for acquiring vehicle positioning information, vehicle speed information and vehicle inside and outside image information, performing anti-fatigue early warning of active safety early warning according to the vehicle positioning information, the vehicle speed information, the vehicle inside and outside image information and the vehicle number information and transmitting the vehicle positioning information, the vehicle speed information, the vehicle inside and outside image information and the vehicle number information to the monitoring background when the active safety early warning is needed or the anti-fatigue early warning is needed; and the monitoring background is used for comprehensively monitoring the problems occurring in the running process of the vehicle according to the information uploaded by the vehicle-mounted embedded equipment, counting the problems occurring in each vehicle and the problems occurring in each driver and generating a corresponding report. The invention is beneficial to ensuring the driving safety and can carry out summary analysis and comprehensive monitoring on problems in the driving process.
Description
Technical Field
The invention relates to vehicle-mounted monitoring, in particular to a vehicle-mounted monitoring system and method based on active safety early warning.
Background
With the development of science and technology and the continuous progress of the social life level, various vehicles become essential transportation means in people's lives, play more and more important roles in social life, and the driving safety also becomes a problem which must be considered in transportation.
In the vehicle running process, the potential safety hazards are caused by various reasons, such as fatigue driving of a driver, lane departure, vehicle collision and other abnormal conditions, safety accidents are likely to be caused in the vehicle running process, and in the current vehicle-mounted monitoring system, the problems occurring in the vehicle running process are difficult to be summarized and analyzed.
Disclosure of Invention
The invention aims to overcome the defects of the prior art, and provides a vehicle-mounted monitoring system and a vehicle-mounted monitoring method based on active safety early warning, which can actively early warn fatigue driving and abnormal conditions in the driving process, help to guarantee driving safety, and can perform summary analysis and comprehensive monitoring on problems in the driving process.
The purpose of the invention is realized by the following technical scheme: a vehicle-mounted monitoring system based on active safety early warning comprises a monitoring background and a plurality of vehicle-mounted embedded devices positioned on different vehicles, wherein the monitoring background is respectively connected with each vehicle-mounted embedded device;
the vehicle-mounted embedded equipment is used for acquiring vehicle positioning information, vehicle speed information and vehicle inside and outside image information, performing anti-fatigue early warning of active safety early warning according to the vehicle positioning information, the vehicle speed information, the vehicle inside and outside image information and the vehicle number information and transmitting the vehicle positioning information, the vehicle speed information, the vehicle inside and outside image information and the vehicle number information to the monitoring background when the active safety early warning is needed or the anti-fatigue early warning is needed;
the monitoring background is used for comprehensively monitoring the problems occurring in the vehicle running process according to the information uploaded by the vehicle-mounted embedded equipment, classifying the problems occurring in the vehicle running process within a certain time according to the vehicle number and the driver information, counting the problems occurring in each vehicle and the problems occurring in each driver, and generating a corresponding report.
Each vehicle-mounted embedded device comprises a vehicle speed acquisition unit, a vehicle-mounted embedded processing unit, an active safety early warning unit, an anti-fatigue early warning unit, a positioning unit and a wireless communication unit; the vehicle-mounted embedded processing unit is respectively connected with the vehicle speed acquisition unit, the active safety early warning unit, the anti-fatigue early warning unit, the positioning unit and the wireless communication unit;
the vehicle speed acquisition unit is used for acquiring vehicle running speed information and transmitting the vehicle running speed information to the vehicle-mounted embedded processing unit;
the positioning unit is used for acquiring positioning information of the vehicle and transmitting the positioning information to the vehicle-mounted embedded processing unit;
the active safety early warning unit is used for acquiring video image information of roads and pedestrians outside the vehicle, transmitting the video image information to the vehicle-mounted embedded processing unit and carrying out early warning according to active safety early warning information fed back by the vehicle-mounted embedded processing unit;
the anti-fatigue early warning unit is used for acquiring video image information of a driver in the vehicle, transmitting the video image information to the vehicle-mounted embedded processing unit and carrying out early warning according to anti-fatigue early warning information fed back by the vehicle-mounted embedded processing unit;
the vehicle-mounted embedded processing unit is used for analyzing according to information from the vehicle speed acquisition unit, the active safety early warning unit and the anti-fatigue early warning unit, generating active safety early warning information to be fed back to the active safety early warning unit when abnormal conditions exist, and generating anti-fatigue early warning information to be fed back to the anti-fatigue early warning unit when fatigue driving behaviors exist; and when abnormal conditions or fatigue driving behaviors exist, the information from the vehicle speed acquisition unit, the active early warning unit, the fatigue prevention early warning unit and the positioning unit is transmitted to the monitoring background together with the serial number information of the vehicle through the wireless communication unit.
Wherein the monitoring background comprises:
the comprehensive monitoring unit is used for comprehensively monitoring problems occurring in the running process of the vehicle according to the information uploaded by the vehicle-mounted embedded equipment;
the first information counting unit is used for counting the number of times of the active safety early warning of each vehicle number within a certain time, recording corresponding positioning information, vehicle speed information and image information inside and outside the vehicle when the active safety early warning of each vehicle number occurs, and generating a statistical report of the active safety early warning of the vehicle;
the identity recognition unit is used for storing the identity information of the driver and the corresponding face image in advance, extracting the corresponding face image according to the driver video image information contained in the uploaded information of each vehicle-mounted embedded device, and comparing the extracted face image with the stored face image to recognize the identity information of the driver;
and the second information counting unit is used for counting the active safety early warning times and the anti-fatigue early warning times in the driving process of each driver according to the identity information identified by the identity identification unit within a certain time, recording corresponding positioning information, vehicle speed information and image information inside and outside the vehicle when each active safety early warning and anti-fatigue early warning occurs in the driving process of the driver, and generating an early warning statistical report of the driver.
Preferably, the speed acquisition unit comprises a speed sensor, and the positioning unit comprises a GPS positioning module or a Beidou positioning module. The active safety pre-warning unit comprises: the vehicle exterior video acquisition module is used for acquiring the video image information of roads and pedestrians outside the vehicle; and the active safety early warning module is used for early warning according to active safety early warning information fed back by the vehicle-mounted embedded processing unit. The vehicle exterior video acquisition module comprises a plurality of cameras for acquiring video images of roads and pedestrians outside the vehicle; the active safety early warning module comprises a first voice broadcast device.
Preferably, the fatigue-prevention early warning unit includes: the driver video image acquisition module is used for acquiring video image information of a driver; and the anti-fatigue early warning module is used for early warning according to the anti-fatigue early warning information fed back by the vehicle-mounted embedded processing unit. The driver image information acquisition module comprises a plurality of cameras which are positioned in a vehicle cab and used for acquiring video image information of a driver; prevent that fatigue early warning module includes the second voice broadcast ware.
The vehicle-mounted embedded processing unit comprises:
the three-dimensional model building module is used for building a three-dimensional model of a vehicle running environment according to video image information of roads and pedestrians outside the vehicle and projecting the vehicle into the three-dimensional model;
the three-dimensional model updating module is used for updating the three-dimensional model of the vehicle running environment according to real-time road and pedestrian video image information;
the abnormal condition analysis module is used for analyzing whether the abnormal condition exists during the vehicle running according to the running speed of the vehicle, the movement trends of pedestrians and vehicles in the three-dimensional model and the position change of the vehicle relative to the road in the three-dimensional model, and generating active safety early warning information to feed back to the active safety early warning unit when the abnormal condition exists; the abnormal conditions include, but are not limited to, potential collision risk and potential lane departure risk;
the anti-fatigue analysis module is used for analyzing whether the driver has fatigue driving behaviors or not according to the video image information of the driver and generating anti-fatigue early warning information to feed back to the anti-fatigue early warning unit when the fatigue driving behaviors exist;
the storage module is used for storing serial number information of the vehicle in advance and storing real-time information from the vehicle speed acquisition unit, the active early warning unit, the fatigue prevention early warning unit and the positioning unit;
and the data transmission control module is used for transmitting the information from the vehicle speed acquisition unit, the active early warning unit, the anti-fatigue early warning unit and the positioning unit to a remote monitoring background together with the serial number information of the vehicle through the wireless communication unit when abnormal conditions or fatigue driving behaviors exist.
A vehicle-mounted monitoring method based on active safety early warning comprises the following steps:
s1, vehicle-mounted embedded equipment collects vehicle positioning information, vehicle speed information and vehicle inside and outside image information in real time;
s2, the vehicle-mounted embedded equipment constructs a three-dimensional model of a vehicle running environment according to video image information of roads and pedestrians outside the vehicle, projects the vehicle into the three-dimensional model, and updates the three-dimensional model of the vehicle running environment according to real-time video image information of the roads and the pedestrians;
s3, the vehicle-mounted embedded equipment analyzes whether abnormal conditions exist during vehicle running or not according to the running speed of the vehicle, the movement trends of pedestrians and vehicles in the three-dimensional model and the position change of the vehicle in the three-dimensional model relative to the road, and actively carries out safety early warning when the abnormal conditions exist;
s4, the vehicle-mounted embedded equipment analyzes whether the driver has fatigue driving behaviors or not according to the video image information of the driver, and performs fatigue prevention early warning when the fatigue driving behaviors exist;
s5, when an abnormal condition or a fatigue driving behavior exists, transmitting vehicle positioning information, vehicle speed information, vehicle inside and outside image information and vehicle number information to a monitoring background;
s6, the monitoring background comprehensively monitors the problems in the running process of the vehicle according to the information uploaded by the vehicle-mounted embedded equipment, wherein the problems in the running process comprise the abnormal conditions or fatigue driving behaviors;
s7, counting the number of times of the active safety early warning of each vehicle number in a certain time, recording corresponding positioning information, vehicle speed information and image information inside and outside the vehicle when the active safety early warning of each vehicle number occurs, and generating a statistical report of the active safety early warning of the vehicle;
s8, extracting a corresponding face image according to driver video image information contained in the uploaded information of each vehicle-mounted embedded device, comparing the face image with a face image stored in advance, identifying identity information of a driver, counting the number of active safety early warning times and the number of anti-fatigue early warning times in the driving process of each driver according to the identified identity information in a certain time, recording corresponding positioning information, vehicle speed information and image information inside and outside the vehicle when each active safety early warning and anti-fatigue early warning occur in the driving process of the driver, and generating an early warning statistical report of the driver.
The invention has the beneficial effects that: the invention can actively warn fatigue driving and abnormal conditions in the driving process, is beneficial to ensuring driving safety, and can predict the movement trends of pedestrians and vehicles in the three-dimensional model and the position change of the vehicles relative to the road in the three-dimensional model by the driving speed of the vehicles, the movement trends of the pedestrians and the vehicles in the three-dimensional model and the position change of the vehicles in the three-dimensional model when analyzing the abnormal conditions such as potential collision risks, potential lane departure risks and the like in a three-dimensional modeling mode, thereby effectively reminding the drivers before danger occurs; meanwhile, the invention can perform summary analysis and comprehensive monitoring on the problems occurring in the driving process.
Drawings
FIG. 1 is a schematic block diagram of the system of the present invention;
FIG. 2 is a functional block diagram of a vehicle-mounted embedded device;
FIG. 3 is a flow chart of the method of the present invention.
Detailed Description
The technical solutions of the present invention are further described in detail below with reference to the accompanying drawings, but the scope of the present invention is not limited to the following.
As shown in fig. 1, a vehicle-mounted monitoring system based on active safety pre-warning includes a monitoring background and a plurality of vehicle-mounted embedded devices located on different vehicles, where the monitoring background is connected to each vehicle-mounted embedded device;
the vehicle-mounted embedded equipment is used for acquiring vehicle positioning information, vehicle speed information and vehicle inside and outside image information, performing anti-fatigue early warning of active safety early warning according to the vehicle positioning information, the vehicle speed information, the vehicle inside and outside image information and the vehicle number information and transmitting the vehicle positioning information, the vehicle speed information, the vehicle inside and outside image information and the vehicle number information to the monitoring background when the active safety early warning is needed or the anti-fatigue early warning is needed;
the monitoring background is used for comprehensively monitoring the problems occurring in the vehicle running process according to the information uploaded by the vehicle-mounted embedded equipment, classifying the problems occurring in the vehicle running process within a certain time according to the vehicle number and the driver information, counting the problems occurring in each vehicle and the problems occurring in each driver, and generating a corresponding report.
As shown in fig. 2, each of the vehicle-mounted embedded devices includes a vehicle speed acquisition unit, a vehicle-mounted embedded processing unit, an active safety early warning unit, an anti-fatigue early warning unit, a positioning unit and a wireless communication unit; the vehicle-mounted embedded processing unit is respectively connected with the vehicle speed acquisition unit, the active safety early warning unit, the anti-fatigue early warning unit, the positioning unit and the wireless communication unit;
the vehicle speed acquisition unit is used for acquiring vehicle running speed information and transmitting the vehicle running speed information to the vehicle-mounted embedded processing unit;
the positioning unit is used for acquiring positioning information of the vehicle and transmitting the positioning information to the vehicle-mounted embedded processing unit;
the active safety early warning unit is used for acquiring video image information of roads and pedestrians outside the vehicle, transmitting the video image information to the vehicle-mounted embedded processing unit and carrying out early warning according to active safety early warning information fed back by the vehicle-mounted embedded processing unit;
the anti-fatigue early warning unit is used for acquiring video image information of a driver in the vehicle, transmitting the video image information to the vehicle-mounted embedded processing unit and carrying out early warning according to anti-fatigue early warning information fed back by the vehicle-mounted embedded processing unit;
the vehicle-mounted embedded processing unit is used for analyzing according to information from the vehicle speed acquisition unit, the active safety early warning unit and the anti-fatigue early warning unit, generating active safety early warning information to be fed back to the active safety early warning unit when abnormal conditions exist, and generating anti-fatigue early warning information to be fed back to the anti-fatigue early warning unit when fatigue driving behaviors exist; and when abnormal conditions or fatigue driving behaviors exist, the information from the vehicle speed acquisition unit, the active early warning unit, the fatigue prevention early warning unit and the positioning unit is transmitted to the monitoring background together with the serial number information of the vehicle through the wireless communication unit.
Wherein the monitoring background comprises:
the comprehensive monitoring unit is used for comprehensively monitoring problems occurring in the running process of the vehicle according to the information uploaded by the vehicle-mounted embedded equipment;
the first information counting unit is used for counting the number of times of the active safety early warning of each vehicle number within a certain time, recording corresponding positioning information, vehicle speed information and image information inside and outside the vehicle when the active safety early warning of each vehicle number occurs, and generating a statistical report of the active safety early warning of the vehicle;
the identity recognition unit is used for storing the identity information of the driver and the corresponding face image in advance, extracting the corresponding face image according to the driver video image information contained in the uploaded information of each vehicle-mounted embedded device, and comparing the extracted face image with the stored face image to recognize the identity information of the driver;
and the second information counting unit is used for counting the active safety early warning times and the anti-fatigue early warning times in the driving process of each driver according to the identity information identified by the identity identification unit within a certain time, recording corresponding positioning information, vehicle speed information and image information inside and outside the vehicle when each active safety early warning and anti-fatigue early warning occurs in the driving process of the driver, and generating an early warning statistical report of the driver.
Preferably, the speed acquisition unit comprises a speed sensor, and the positioning unit comprises a GPS positioning module or a Beidou positioning module. The active safety pre-warning unit comprises: the vehicle exterior video acquisition module is used for acquiring the video image information of roads and pedestrians outside the vehicle; and the active safety early warning module is used for early warning according to active safety early warning information fed back by the vehicle-mounted embedded processing unit. The vehicle exterior video acquisition module comprises a plurality of cameras for acquiring video images of roads and pedestrians outside the vehicle; the active safety early warning module comprises a first voice broadcast device.
Preferably, the fatigue-prevention early warning unit includes: the driver video image acquisition module is used for acquiring video image information of a driver; and the anti-fatigue early warning module is used for early warning according to the anti-fatigue early warning information fed back by the vehicle-mounted embedded processing unit. The driver image information acquisition module comprises a plurality of cameras which are positioned in a vehicle cab and used for acquiring video image information of a driver; prevent that fatigue early warning module includes the second voice broadcast ware.
The vehicle-mounted embedded processing unit comprises:
the three-dimensional model building module is used for building a three-dimensional model of a vehicle running environment according to video image information of roads and pedestrians outside the vehicle and projecting the vehicle into the three-dimensional model;
the three-dimensional model updating module is used for updating the three-dimensional model of the vehicle running environment according to real-time road and pedestrian video image information;
the abnormal condition analysis module is used for analyzing whether the abnormal condition exists during the vehicle running according to the running speed of the vehicle, the movement trends of pedestrians and vehicles in the three-dimensional model and the position change of the vehicle relative to the road in the three-dimensional model, and generating active safety early warning information to feed back to the active safety early warning unit when the abnormal condition exists; the abnormal conditions include, but are not limited to, potential collision risk and potential lane departure risk;
the anti-fatigue analysis module is used for analyzing whether the driver has fatigue driving behaviors or not according to the video image information of the driver and generating anti-fatigue early warning information to feed back to the anti-fatigue early warning unit when the fatigue driving behaviors exist;
the storage module is used for storing serial number information of the vehicle in advance and storing real-time information from the vehicle speed acquisition unit, the active early warning unit, the fatigue prevention early warning unit and the positioning unit;
and the data transmission control module is used for transmitting the information from the vehicle speed acquisition unit, the active early warning unit, the anti-fatigue early warning unit and the positioning unit to a remote monitoring background together with the serial number information of the vehicle through the wireless communication unit when abnormal conditions or fatigue driving behaviors exist.
As shown in fig. 3, a vehicle-mounted monitoring method based on active safety pre-warning includes the following steps:
s1, vehicle-mounted embedded equipment collects vehicle positioning information, vehicle speed information and vehicle inside and outside image information in real time;
s2, the vehicle-mounted embedded equipment constructs a three-dimensional model of a vehicle running environment according to video image information of roads and pedestrians outside the vehicle, projects the vehicle into the three-dimensional model, and updates the three-dimensional model of the vehicle running environment according to real-time video image information of the roads and the pedestrians;
s3, the vehicle-mounted embedded equipment analyzes whether abnormal conditions exist during vehicle running or not according to the running speed of the vehicle, the movement trends of pedestrians and vehicles in the three-dimensional model and the position change of the vehicle in the three-dimensional model relative to the road, and actively carries out safety early warning when the abnormal conditions exist;
s4, the vehicle-mounted embedded equipment analyzes whether the driver has fatigue driving behaviors or not according to the video image information of the driver, and performs fatigue prevention early warning when the fatigue driving behaviors exist;
s5, when an abnormal condition or a fatigue driving behavior exists, transmitting vehicle positioning information, vehicle speed information, vehicle inside and outside image information and vehicle number information to a monitoring background;
s6, the monitoring background comprehensively monitors the problems in the running process of the vehicle according to the information uploaded by the vehicle-mounted embedded equipment, wherein the problems in the running process comprise the abnormal conditions or fatigue driving behaviors;
s7, counting the number of times of the active safety early warning of each vehicle number in a certain time, recording corresponding positioning information, vehicle speed information and image information inside and outside the vehicle when the active safety early warning of each vehicle number occurs, and generating a statistical report of the active safety early warning of the vehicle;
the certain time is determined in a preset mode and can be 1 hour, 1 day, 1 week, 1 month and the like; by the number of times of active safety early warning of the vehicle, analysis basis can be provided for possible faults of the vehicle; for example, when a vehicle has active safety early warning in a certain time, the frequency of the active safety early warning is very high, and the vehicle may have the problems of the vehicle itself besides the problems of the operation of a driver, and the overhaul of the vehicle can be organized at the moment;
s8, extracting a corresponding face image according to driver video image information contained in the uploaded information of each vehicle-mounted embedded device, comparing the face image with a face image stored in advance, identifying identity information of a driver, counting the number of active safety early warning times and the number of anti-fatigue early warning times in the driving process of each driver according to the identified identity information in a certain time, recording corresponding positioning information, vehicle speed information and image information inside and outside the vehicle when each active safety early warning and anti-fatigue early warning occur in the driving process of the driver, and generating an early warning statistical report of the driver.
The statistics of the active safety early warning times and the anti-fatigue early warning times of each driver can show the driving normalization, and according to the corresponding positioning information, the vehicle speed information and the in-vehicle and out-vehicle image information when the active safety early warning and the anti-fatigue early warning occur, the deep analysis can be further carried out, so that a basis is provided for subsequent centralized training, reminding or performance assessment of the driver.
In conclusion, the method can actively early warn fatigue driving and abnormal conditions occurring in the driving process, is beneficial to ensuring driving safety, and can predict the driving speed of the vehicle, the movement tendency of pedestrians and vehicles in the three-dimensional model and the position change of the vehicle relative to the road in the three-dimensional model in a three-dimensional modeling mode when analyzing the abnormal conditions such as potential collision risk, potential lane departure risk and the like, so that a driver can be effectively reminded before danger occurs; meanwhile, the invention can perform summary analysis and comprehensive monitoring on the problems occurring in the driving process.
It is to be understood that the foregoing is not to be construed as limiting the invention to the forms disclosed herein, but is to be construed not as excluding other embodiments and from consideration of the specification and/or practice of the invention as may be practiced in other combinations, modifications, and environments and as may be modified within the scope of the concepts described herein by applying the teachings or the teachings disclosed herein. And that modifications and variations may be effected by those skilled in the art without departing from the spirit and scope of the invention as defined by the appended claims.
Claims (10)
1. The utility model provides an on-vehicle monitored control system based on initiative safety precaution which characterized in that: the vehicle-mounted embedded equipment monitoring system comprises a monitoring background and a plurality of vehicle-mounted embedded equipment positioned on different vehicles, wherein the monitoring background is respectively connected with each vehicle-mounted embedded equipment;
the vehicle-mounted embedded equipment is used for acquiring vehicle positioning information, vehicle speed information and vehicle inside and outside image information, performing anti-fatigue early warning of active safety early warning according to the vehicle positioning information, the vehicle speed information, the vehicle inside and outside image information and the vehicle number information and transmitting the vehicle positioning information, the vehicle speed information, the vehicle inside and outside image information and the vehicle number information to the monitoring background when the active safety early warning is needed or the anti-fatigue early warning is needed;
the monitoring background is used for comprehensively monitoring the problems occurring in the vehicle running process according to the information uploaded by the vehicle-mounted embedded equipment, classifying the problems occurring in the vehicle running process within a certain time according to the vehicle number and the driver information, counting the problems occurring in each vehicle and the problems occurring in each driver, and generating a corresponding report.
2. The vehicle-mounted monitoring system based on active safety early warning as claimed in claim 1, wherein: each vehicle-mounted embedded device comprises a vehicle speed acquisition unit, a vehicle-mounted embedded processing unit, an active safety early warning unit, an anti-fatigue early warning unit, a positioning unit and a wireless communication unit; the vehicle-mounted embedded processing unit is respectively connected with the vehicle speed acquisition unit, the active safety early warning unit, the anti-fatigue early warning unit, the positioning unit and the wireless communication unit;
the vehicle speed acquisition unit is used for acquiring vehicle running speed information and transmitting the vehicle running speed information to the vehicle-mounted embedded processing unit;
the positioning unit is used for acquiring positioning information of the vehicle and transmitting the positioning information to the vehicle-mounted embedded processing unit;
the active safety early warning unit is used for acquiring video image information of roads and pedestrians outside the vehicle, transmitting the video image information to the vehicle-mounted embedded processing unit and carrying out early warning according to active safety early warning information fed back by the vehicle-mounted embedded processing unit;
the anti-fatigue early warning unit is used for acquiring video image information of a driver in the vehicle, transmitting the video image information to the vehicle-mounted embedded processing unit and carrying out early warning according to anti-fatigue early warning information fed back by the vehicle-mounted embedded processing unit;
the vehicle-mounted embedded processing unit is used for analyzing according to information from the vehicle speed acquisition unit, the active safety early warning unit and the anti-fatigue early warning unit, generating active safety early warning information to be fed back to the active safety early warning unit when abnormal conditions exist, and generating anti-fatigue early warning information to be fed back to the anti-fatigue early warning unit when fatigue driving behaviors exist; and when abnormal conditions or fatigue driving behaviors exist, the information from the vehicle speed acquisition unit, the active early warning unit, the fatigue prevention early warning unit and the positioning unit is transmitted to the monitoring background together with the serial number information of the vehicle through the wireless communication unit.
3. The vehicle-mounted monitoring system based on active safety early warning as claimed in claim 1, wherein: the monitoring background comprises:
the comprehensive monitoring unit is used for comprehensively monitoring problems occurring in the running process of the vehicle according to the information uploaded by the vehicle-mounted embedded equipment;
the first information counting unit is used for counting the number of times of the active safety early warning of each vehicle number within a certain time, recording corresponding positioning information, vehicle speed information and image information inside and outside the vehicle when the active safety early warning of each vehicle number occurs, and generating a statistical report of the active safety early warning of the vehicle;
the identity recognition unit is used for storing the identity information of the driver and the corresponding face image in advance, extracting the corresponding face image according to the driver video image information contained in the uploaded information of each vehicle-mounted embedded device, and comparing the extracted face image with the stored face image to recognize the identity information of the driver;
and the second information counting unit is used for counting the active safety early warning times and the anti-fatigue early warning times in the driving process of each driver according to the identity information identified by the identity identification unit within a certain time, recording corresponding positioning information, vehicle speed information and image information inside and outside the vehicle when each active safety early warning and anti-fatigue early warning occurs in the driving process of the driver, and generating an early warning statistical report of the driver.
4. The vehicle-mounted monitoring system based on active safety early warning as claimed in claim 2, wherein: the speed acquisition unit comprises a speed sensor, and the positioning unit comprises a GPS positioning module or a Beidou positioning module.
5. The vehicle-mounted monitoring system based on active safety early warning as claimed in claim 2, wherein: the active safety pre-warning unit comprises:
the vehicle exterior video acquisition module is used for acquiring the video image information of roads and pedestrians outside the vehicle;
and the active safety early warning module is used for early warning according to active safety early warning information fed back by the vehicle-mounted embedded processing unit.
6. The vehicle-mounted monitoring system based on active safety early warning as claimed in claim 3, wherein: the vehicle exterior video acquisition module comprises a plurality of cameras for acquiring video images of roads and pedestrians outside the vehicle; the active safety early warning module comprises a first voice broadcast device.
7. The vehicle-mounted monitoring system based on active safety early warning as claimed in claim 2, wherein: the anti-fatigue early warning unit comprises:
the driver video image acquisition module is used for acquiring video image information of a driver;
and the anti-fatigue early warning module is used for early warning according to the anti-fatigue early warning information fed back by the vehicle-mounted embedded processing unit.
8. The vehicle-mounted monitoring system based on active safety pre-warning as claimed in claim 7, wherein: the driver image information acquisition module comprises a plurality of cameras which are positioned in a vehicle cab and used for acquiring video image information of a driver; prevent that fatigue early warning module includes the second voice broadcast ware.
9. The vehicle-mounted monitoring system based on active safety early warning as claimed in claim 2, wherein: the vehicle-mounted embedded processing unit comprises:
the three-dimensional model building module is used for building a three-dimensional model of a vehicle running environment according to video image information of roads and pedestrians outside the vehicle and projecting the vehicle into the three-dimensional model;
the three-dimensional model updating module is used for updating the three-dimensional model of the vehicle running environment according to real-time road and pedestrian video image information;
the abnormal condition analysis module is used for analyzing whether the abnormal condition exists during the vehicle running according to the running speed of the vehicle, the movement trends of pedestrians and vehicles in the three-dimensional model and the position change of the vehicle relative to the road in the three-dimensional model, and generating active safety early warning information to feed back to the active safety early warning unit when the abnormal condition exists; the abnormal conditions include, but are not limited to, potential collision risk and potential lane departure risk;
the anti-fatigue analysis module is used for analyzing whether the driver has fatigue driving behaviors or not according to the video image information of the driver and generating anti-fatigue early warning information to feed back to the anti-fatigue early warning unit when the fatigue driving behaviors exist;
the storage module is used for storing serial number information of the vehicle in advance and storing real-time information from the vehicle speed acquisition unit, the active early warning unit, the fatigue prevention early warning unit and the positioning unit;
and the data transmission control module is used for transmitting the information from the vehicle speed acquisition unit, the active early warning unit, the anti-fatigue early warning unit and the positioning unit to a remote monitoring background together with the serial number information of the vehicle through the wireless communication unit when abnormal conditions or fatigue driving behaviors exist.
10. A vehicle-mounted monitoring method based on active safety early warning, which adopts the system of any one of claims 1-9, and is characterized in that: the method comprises the following steps:
s1, vehicle-mounted embedded equipment collects vehicle positioning information, vehicle speed information and vehicle inside and outside image information in real time;
s2, the vehicle-mounted embedded equipment constructs a three-dimensional model of a vehicle running environment according to video image information of roads and pedestrians outside the vehicle, projects the vehicle into the three-dimensional model, and updates the three-dimensional model of the vehicle running environment according to real-time video image information of the roads and the pedestrians;
s3, the vehicle-mounted embedded equipment analyzes whether abnormal conditions exist during vehicle running or not according to the running speed of the vehicle, the movement trends of pedestrians and vehicles in the three-dimensional model and the position change of the vehicle in the three-dimensional model relative to the road, and actively carries out safety early warning when the abnormal conditions exist;
s4, the vehicle-mounted embedded equipment analyzes whether the driver has fatigue driving behaviors or not according to the video image information of the driver, and performs fatigue prevention early warning when the fatigue driving behaviors exist;
s5, when an abnormal condition or a fatigue driving behavior exists, transmitting vehicle positioning information, vehicle speed information, vehicle inside and outside image information and vehicle number information to a monitoring background;
s6, the monitoring background comprehensively monitors the problems in the running process of the vehicle according to the information uploaded by the vehicle-mounted embedded equipment, wherein the problems in the running process comprise the abnormal conditions or fatigue driving behaviors;
s7, counting the number of times of the active safety early warning of each vehicle number in a certain time, recording corresponding positioning information, vehicle speed information and image information inside and outside the vehicle when the active safety early warning of each vehicle number occurs, and generating a statistical report of the active safety early warning of the vehicle;
s8, extracting a corresponding face image according to driver video image information contained in the uploaded information of each vehicle-mounted embedded device, comparing the face image with a face image stored in advance, identifying identity information of a driver, counting the number of active safety early warning times and the number of anti-fatigue early warning times in the driving process of each driver according to the identified identity information in a certain time, recording corresponding positioning information, vehicle speed information and image information inside and outside the vehicle when each active safety early warning and anti-fatigue early warning occur in the driving process of the driver, and generating an early warning statistical report of the driver.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110400306.6A CN113022557A (en) | 2021-04-14 | 2021-04-14 | Vehicle-mounted monitoring system and method based on active safety early warning |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110400306.6A CN113022557A (en) | 2021-04-14 | 2021-04-14 | Vehicle-mounted monitoring system and method based on active safety early warning |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN113022557A true CN113022557A (en) | 2021-06-25 |
Family
ID=76456636
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202110400306.6A Pending CN113022557A (en) | 2021-04-14 | 2021-04-14 | Vehicle-mounted monitoring system and method based on active safety early warning |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113022557A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113962633A (en) * | 2021-10-27 | 2022-01-21 | 哈尔滨职业技术学院 | Traffic transportation safety production management system |
Citations (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101261722A (en) * | 2008-01-17 | 2008-09-10 | 北京航空航天大学 | Electronic police background intelligent management and automatic implementation system |
| CN202339587U (en) * | 2011-12-13 | 2012-07-18 | 长安大学 | Vehicle collision safety warning recording device |
| CN102651173A (en) * | 2012-05-23 | 2012-08-29 | 成都亿盟恒信科技有限公司 | Beidou satellite monitoring safe driving system based on 3G network |
| WO2013012926A1 (en) * | 2011-07-21 | 2013-01-24 | Bendix Commercial Vehicle Systems Llc | A vehicular fleet management system and methods of monitoring and improving driver performance in fleet vehicles |
| WO2015075736A2 (en) * | 2013-10-18 | 2015-05-28 | Vikramjeet Songh Puri | A method and system for remote data processing and control |
| CN108074396A (en) * | 2016-11-10 | 2018-05-25 | 关晓芙 | The evaluation method that drives safely and system |
| CN108806297A (en) * | 2018-07-24 | 2018-11-13 | 四川数字灯塔科技有限公司 | Traffic accident prevention system based on fusion big data analysis |
| CN109017570A (en) * | 2018-06-12 | 2018-12-18 | 智车优行科技（北京）有限公司 | Vehicle periphery scene rendering method and device, vehicle |
| CN109823346A (en) * | 2019-01-23 | 2019-05-31 | 广州德晟人工智能科技有限公司 | Based on big data active safety early warning system and method |
| CN110570689A (en) * | 2019-09-05 | 2019-12-13 | 成都亿盟恒信科技有限公司 | vehicle monitoring system based on driving record and anti-collision early warning |
| CN110606090A (en) * | 2019-09-05 | 2019-12-24 | 成都亿盟恒信科技有限公司 | Driver monitoring system and method based on fatigue detection |
| CN111210620A (en) * | 2019-12-19 | 2020-05-29 | 广州航天海特系统工程有限公司 | Method, device and equipment for generating driver portrait and storage medium |
| CN111383437A (en) * | 2018-12-28 | 2020-07-07 | 广州倚网计算机有限公司 | Intelligent vehicle management service platform |
-
2021
- 2021-04-14 CN CN202110400306.6A patent/CN113022557A/en active Pending
Patent Citations (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101261722A (en) * | 2008-01-17 | 2008-09-10 | 北京航空航天大学 | Electronic police background intelligent management and automatic implementation system |
| WO2013012926A1 (en) * | 2011-07-21 | 2013-01-24 | Bendix Commercial Vehicle Systems Llc | A vehicular fleet management system and methods of monitoring and improving driver performance in fleet vehicles |
| CN202339587U (en) * | 2011-12-13 | 2012-07-18 | 长安大学 | Vehicle collision safety warning recording device |
| CN102651173A (en) * | 2012-05-23 | 2012-08-29 | 成都亿盟恒信科技有限公司 | Beidou satellite monitoring safe driving system based on 3G network |
| WO2015075736A2 (en) * | 2013-10-18 | 2015-05-28 | Vikramjeet Songh Puri | A method and system for remote data processing and control |
| CN108074396A (en) * | 2016-11-10 | 2018-05-25 | 关晓芙 | The evaluation method that drives safely and system |
| CN109017570A (en) * | 2018-06-12 | 2018-12-18 | 智车优行科技（北京）有限公司 | Vehicle periphery scene rendering method and device, vehicle |
| CN108806297A (en) * | 2018-07-24 | 2018-11-13 | 四川数字灯塔科技有限公司 | Traffic accident prevention system based on fusion big data analysis |
| CN111383437A (en) * | 2018-12-28 | 2020-07-07 | 广州倚网计算机有限公司 | Intelligent vehicle management service platform |
| CN109823346A (en) * | 2019-01-23 | 2019-05-31 | 广州德晟人工智能科技有限公司 | Based on big data active safety early warning system and method |
| CN110570689A (en) * | 2019-09-05 | 2019-12-13 | 成都亿盟恒信科技有限公司 | vehicle monitoring system based on driving record and anti-collision early warning |
| CN110606090A (en) * | 2019-09-05 | 2019-12-24 | 成都亿盟恒信科技有限公司 | Driver monitoring system and method based on fatigue detection |
| CN111210620A (en) * | 2019-12-19 | 2020-05-29 | 广州航天海特系统工程有限公司 | Method, device and equipment for generating driver portrait and storage medium |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113962633A (en) * | 2021-10-27 | 2022-01-21 | 哈尔滨职业技术学院 | Traffic transportation safety production management system |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US11068995B1 (en) | Methods of reconstructing an accident scene using telematics data | |
| US11919523B2 (en) | Systems and methods for driver scoring with machine learning | |
| US20220292956A1 (en) | Method and system for vehicular-related communications | |
| US20210150390A1 (en) | Systems and methods for providing visual allocation management | |
| CN103890730B (en) | The exploitation of the Automotive Telemetry application and service driven for sensor and the calculating platform of deployment | |
| CN106651602A (en) | ADAS intelligent vehicle-mounted terminal-based vehicle insurance management service system | |
| CN110816551A (en) | Vehicle transportation safety initiative prevention and control system | |
| CN103209220B (en) | The cast anchor method of servicing of wisdom service system of vehicle based on car networking | |
| CN108074396A (en) | The evaluation method that drives safely and system | |
| CN109523652B (en) | Insurance processing method, device and equipment based on driving behaviors and storage medium | |
| CN110770084A (en) | Vehicle monitoring system and vehicle monitoring method | |
| CN104575102A (en) | Vehicle warning system and method | |
| CN103700160A (en) | Motor vehicle onboard terminal based on microsensor and driving behavior judgment method | |
| CN110995771A (en) | Freight train land transportation monitoring management system based on thing networking | |
| CN109189019A (en) | A kind of engine drivers in locomotive depot value multiplies standardization monitoring system | |
| CN104680719A (en) | System and method for monitoring fatigue driving time indexes | |
| CN206684779U (en) | A kind of vehicle insurance management service system based on ADAS intelligent vehicle mounted terminals | |
| CN106394445A (en) | Vehicle fault monitoring and prompting method and system | |
| TW202101344A (en) | Systems And Method For Calculating Liability Of A Driver Of A Vehicle | |
| CN203825447U (en) | Passenger vehicle OBD (On-Board Diagnostics) monitoring platform | |
| CN106448214A (en) | Vehicle data collection and management system | |
| CN115131894A (en) | Motor vehicle remote monitoring system based on block chain technology | |
| CN113022557A (en) | Vehicle-mounted monitoring system and method based on active safety early warning | |
| CN116453345B (en) | Bus driving safety early warning method and system based on driving risk feedback | |
| CN114093143A (en) | Vehicle driving risk perception early warning method and device |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20210625 |
|
| RJ01 | Rejection of invention patent application after publication |