CN109606376A - A kind of safe driving Activity recognition system based on vehicle intelligent terminal - Google Patents
A kind of safe driving Activity recognition system based on vehicle intelligent terminal Download PDFInfo
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- CN109606376A CN109606376A CN201811399288.9A CN201811399288A CN109606376A CN 109606376 A CN109606376 A CN 109606376A CN 201811399288 A CN201811399288 A CN 201811399288A CN 109606376 A CN109606376 A CN 109606376A
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- 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
- B60W40/09—Driving style or behaviour
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60Q—ARRANGEMENT OF SIGNALLING OR LIGHTING DEVICES, THE MOUNTING OR SUPPORTING THEREOF OR CIRCUITS THEREFOR, FOR VEHICLES IN GENERAL
- B60Q9/00—Arrangement or adaptation of signal devices not provided for in one of main groups B60Q1/00 - B60Q7/00, e.g. haptic signalling
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- 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
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
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- 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
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Abstract
The safe driving Activity recognition system based on vehicle intelligent terminal that the invention discloses a kind of, including mobile unit, interface system and back-end data base, the mobile unit includes high-definition camera, vehicle intelligent terminal, the high-definition camera is connected with vehicle intelligent terminal, vehicle intelligent terminal is connected with interface system, interface system is connected with back-end data base, this system is compared to traditional safe driving identifying system, after the facial area image or video for acquiring driver by high-definition camera, it can locally be realized to image in vehicle intelligent terminal, the processing of video is analyzed, judge driver with the presence or absence of dangerous driving behavior, and result is reported into back-end data base by interface system, demand to bandwidth is very small, alarm function can be normally played under no network condition, strong antijamming capability, energy More efficiently dangerous driving behavior is monitored, is alerted, the bad steering habit of driver is corrected.
Description
Technical field
The present invention relates to driving behavior identification technology field more particularly to a kind of safe drivings based on vehicle intelligent terminal
Activity recognition system.
Background technique
Along with the increase of vehicle fleet size, the safe driving of driver is just particularly important, existing safe driving row
For recognition methods be all by high-definition camera obtain driver's face-image, driver's face-image is uploaded to server and is sentenced
Whether disconnected face-image has eye closing, dozes off, and unsafe driving behavior such as smoking is uploaded to server, then makes warning.
Such recognition methods is very single or can only monitor the driving status of driver or can only monitor road
Driving status, while the face-image obtained needs to be uploaded to server and judges whether it has unsafe driving behavior, to band
Width has larger demand, significantly increases the vehicle-mounted installation difficulty of relevant device.
Summary of the invention
Mirror is with this, the purpose of the present invention is to provide a kind of safe driving Activity recognition system based on vehicle intelligent terminal
System, at least to solve problem above.
A kind of safe driving Activity recognition system based on vehicle intelligent terminal, including mobile unit, interface system and
Back-end data base, the mobile unit include high-definition camera, vehicle intelligent terminal, and the high-definition camera drives for acquiring
Member's face-image or driving behavior video, the vehicle intelligent terminal receive described image or driving behavior video and sentence locally
Disconnected driver whether there is dangerous driving behavior, and judging result is transmitted to back-end data base by the interface system, institute
High-definition camera is stated to be connected with vehicle intelligent terminal, vehicle intelligent terminal respectively with interface system and vehicle control bus phase
Connection, interface system are connected with back-end data base.
Further, whether the system judges safely the driving behavior of driver, specifically includes the following steps:
S1, high-definition camera acquire the face-image of driver under normal circumstances in advance, and are sent to vehicle intelligent terminal
It is handled;
S2, in vehicle travel process, acquire the facial area image or view of driver in real time by high-definition camera
Frequently, vehicle intelligent terminal is transmitted to be judged;
S3, vehicle intelligent terminal judge driver with the presence or absence of danger based on the real-time face area image or video of driver
Dangerous driving behavior, dangerous driving behavior then carries out next step if it exists, and high-definition camera is waited if without dangerous driving behavior
It is subsequent to pass image back or video continues to judge;
S4, vehicle intelligent terminal generate message for existing dangerous driving behavior type and are sent to by interface system
Back-end data base is stored;
There is currently dangerous driving behaviors by voice mode prompt driver for S5, vehicle intelligent terminal.
Further, specific to wrap when vehicle intelligent terminal judges the video that high-definition camera is passed back in step S3
Include following steps:
S31, video is decomposed into several single-frame images;
S32, creation multithreading task, per thread is for judging in different single-frame images with the presence or absence of dangerous driving row
For;
S33, next step is carried out if judging dangerous driving behavior, if waiting high definition to take the photograph without dangerous driving behavior
As a subsequent video of passing back re-execute the steps S31.
Further, judge to specifically include: with the presence or absence of dangerous driving behavior by judging several consecutive images in image
Middle eyes closed degree and the opening and closing degree of mouth judge driver with the presence or absence of fatigue driving behavior;By judging mouth in image
Whether portion region has foreign matter shadowing driver with the presence or absence of influent pH.
Further, the vehicle intelligent terminal includes vehicle monitoring module, driving behavior identification module, voice prompting mould
Block and wireless communication module, the vehicle monitoring module connect vehicle control bus by interface and obtain vehicle operation data;
The driving behavior identification module is used to analyze the image that high-definition camera is passed back or video judges driver with the presence or absence of danger
Driving behavior;The voice cue module is used for voice prompting driver current vehicle driving status, whether there is dangerous driving
Behavior;The wireless communication module is used to realize the data communication of vehicle intelligent terminal and back-end data base by interface system.
Further, the system also includes intelligent steering wheel set, the intelligent steering wheel set is interior to be equipped with several pressure
Sensor and bluetooth communication module, the pressure sensor cover rounded arrangement, each pressure sensor along intelligent steering wheel
Between distance it is identical and be connected in series, bluetooth and is passed through at signal according to the pressure generation detected when driver holds steering wheel
Communication module is sent to vehicle intelligent terminal.
Further, the system also includes smoke alarm, the smoke alarm is connected with vehicle intelligent terminal.
Further, the system also includes the road condition acquiring camera being set to around vehicle body, the road condition acquiring camera shootings
Head is sent to vehicle intelligent terminal for acquiring road middle line and sideline image;The vehicle intelligent terminal is supervised equipped with route
Survey module, the route monitoring modular be based on road middle line and sideline image change judge vehicle whether deviation route.
Compared with prior art, the beneficial effects of the present invention are:
The present invention provides a kind of safe driving Activity recognition system based on intelligent vehicle mounted terminal, compared to traditional safety
Identifying system is driven, it, can be in vehicle intelligent after the facial area image or video for acquiring driver by high-definition camera
Terminal local realizes that the processing to image, video is analyzed, and judges that driver whether there is dangerous driving behavior, and result is passed through
Interface system reports to back-end data base, and the demand to bandwidth is very small, and announcement can be normally played under no network condition
Alert function, strong antijamming capability can more efficiently be monitored dangerous driving behavior, alert, and correct the bad of driver
Driving habit.
Detailed description of the invention
To describe the technical solutions in the embodiments of the present invention more clearly, make required in being described below to embodiment
Attached drawing is briefly described, it should be apparent that, the accompanying drawings in the following description is only the preferred embodiment of the present invention, for
For those of ordinary skill in the art, without creative efforts, it can also be obtained according to these attached drawings other
Attached drawing.
Fig. 1 is the overall system architecture schematic diagram of the embodiment of the present invention.
Fig. 2 is that the dangerous driving behavior of the embodiment of the present invention judges flow diagram.
Fig. 3 is the method for processing video frequency flow diagram of the embodiment of the present invention.
In figure, 1 is high-definition camera, and 2 be vehicle intelligent terminal, and 3 be interface system, and 4 be back-end data base, and 21 be vehicle
Monitoring module, 22 be driving behavior identification module, and 23 be voice cue module, and 24 be wireless communication module.
Specific embodiment
The principle and features of the present invention will be described below with reference to the accompanying drawings, and cited embodiment is served only for explaining this hair
It is bright, it is not intended to limit the scope of the present invention.
Referring to Fig.1, the present invention provides a kind of safe driving Activity recognition system based on intelligent vehicle mounted terminal, the system
Including mobile unit, interface system 3 and back-end data base 4, the mobile unit includes high-definition camera 1 and vehicle intelligent
Terminal 2, the high-definition camera 1 are connected with vehicle intelligent terminal 2, and vehicle intelligent terminal 2 is by the interface system 3 with after
Client database 4 carries out data interaction, while vehicle intelligent terminal 2 is also connected to obtain vehicle operation number with vehicle control bus
According to.
The high-definition camera 1 for acquiring driver's facial area image or video, and pass back vehicle intelligent terminal 2 into
Row analysis processing.The vehicle intelligent terminal 2 is used to judge driver with the presence or absence of danger by the received image of institute or video
Driving behavior.Vehicle intelligent terminal 2 include vehicle monitoring module 21, driving behavior identification module 22, voice cue module 23 with
And wireless communication module 24.
Wherein, the vehicle monitoring module 21, which is used to connect vehicle control bus by interface, obtains vehicle operation data,
The vehicle operation data includes at least engine condition, speed per hour, throttle, braking state.
The driving behavior identification module 22 is used to analyze the image that high-definition camera is passed back or video judges that driver is
No dangerous driving behavior, referring to Fig. 2, specifically includes the following steps:
S1, high-definition camera acquire the face-image of driver under normal circumstances in advance, and are sent to vehicle intelligent terminal
It is handled.
In the step, after vehicle intelligent terminal 2 gets the face-image of driver under normal circumstances, driving behavior identification
Module 22, which is based on SIFT algorithm, to be extracted key position in face-image and and is labeled as characteristic point, such as eyes, mouth.
SIFT algorithm is a kind of computer vision algorithms make.It is used to detect and describe the locality characteristic in image, can be in space scale
Middle searching extreme point, and extract its position, scale, rotational invariants, for light, noise, the tolerance that changes of visual angle slightly
It spends also quite high therefore high for the recognition accuracy of object.
S2, in vehicle travel process, acquire the facial area image or view of driver in real time by high-definition camera
Frequently, vehicle intelligent terminal is transmitted to be judged.
In the step, when vehicle intelligent terminal 2 monitors that vehicle is in operating status by vehicle monitoring module 21, lead to
It crosses high-definition camera and acquires driver in real time in the image or video in driving procedure septum reset region.And it is transmitted to vehicle intelligent
Terminal is judged.
S3, vehicle intelligent terminal judge driver with the presence or absence of danger based on the real-time face area image or video of driver
Dangerous driving behavior, dangerous driving behavior then carries out next step if it exists, and high-definition camera is waited if without dangerous driving behavior
It is subsequent to pass image back or video continues to judge.
In the step, judged by driving behavior identification module 22 with the presence or absence of dangerous driving behavior in image, it is specific to wrap
It includes: by judging that eyes closed degree and the opening and closing degree of mouth judge that driver drives with the presence or absence of fatigue in several consecutive images
Sail behavior;By judging whether mouth region has foreign matter shadowing driver with the presence or absence of influent pH in image.Drive row
It is based on OpenCV technology for identification module 22, passes through driver in step the S1 eyes of facial area image, mouth under normal circumstances
Etc. characteristic points compared with several consecutive images acquired in real time, to judge driver with the presence or absence of corresponding dangerous driving row
For.
S4, vehicle intelligent terminal generate message for existing dangerous driving behavior type and are sent to by interface system
Back-end data base is stored.
In the step, if driving behavior identification module 22 judges driver, there is currently dangerous driving behaviors, according to phase
The dangerous driving behavior type answered generates message, and is sent to interface system 3 by wireless communication module 24, by interface system 3
Back-end data base 4 is sent to be stored.
There is currently dangerous driving behaviors by voice mode prompt driver for S5, vehicle intelligent terminal.
In the step, after vehicle intelligent terminal 2 detects the dangerous driving behavior of driver, pass through included voice
Cue module 23 is dangerous with speech form prompt driver's currently corresponding driving behavior, alerts driver's correction in time.
On the other hand, on the basis of the above embodiments, referring to Fig. 3, in step s3, vehicle intelligent terminal takes the photograph high definition
When the video passed back as head is judged, specifically includes the following steps:
S31, video is decomposed into several single-frame images.
In the step, driver's real-time video that high-definition camera is passed back is decomposed into several by driving behavior identification module 22
Open continuous single-frame images.
S32, creation multithreading task, per thread is for judging in different single-frame images with the presence or absence of dangerous driving row
For.
In the step, driving behavior identification module 22 establishes multithreading task, and per thread is respectively used to judge different
It whether there is dangerous driving behavior in single-frame images.Multithreading task can effectively shorten the video analysis time, promote vehicle-mounted intelligence
Energy terminal response speed, avoids the occurrence of the case where prompt is delayed.
S33, next step is carried out if judging dangerous driving behavior, if waiting high definition to take the photograph without dangerous driving behavior
As a subsequent video of passing back re-execute the steps S31.
In the step, if driving behavior identification module 22 judges dangerous driving behavior in image, step is continued to execute
Rapid S4;If judging not dangerous driving behavior in all single-frame images that the video is decomposed, high-definition camera is waited
The subsequent video passed back, returns to step S31.
On the basis of the above embodiments, by presetting, driving behavior identification module 22 can be according to vehicle monitoring
The vehicle status data collected of module 21 judges driver with the presence or absence of dangerous driving behavior, for example, working as vehicle monitoring module
21 detect that the current engine of vehicle is flameout state or engine is starting state but when speed per hour is 0, can suspend judgement and drive
The driving behavior for the person of sailing, reduces the rate of false alarm of system, in order to avoid driver is impacted.
In alternative embodiment of the invention, the system also includes intelligent steering wheel set, in the intelligent steering wheel set
Equipped with several pressure sensors and bluetooth communication module, the pressure sensor covers rounded arrangement along intelligent steering wheel,
Distance is identical between each pressure sensor and is connected in series, and is generated when driver holds steering wheel according to the pressure detected
Signal is simultaneously sent to vehicle intelligent terminal by bluetooth communication module.Driver, should double-grip during normal driving
Steering wheel, even the time of one hand control steering wheel is also very short, therefore, it is generally the case that driving in steering wheel rotation
In the process intelligent steering wheel set due to driver gripping, the pressure sensor can generate simultaneously two signals be sent to it is vehicle-mounted
Intelligent terminal, driving behavior identification module 22 are not receiving two pressure sensor signals, and vehicle monitoring module for a long time
21 when monitoring that vehicle is in driving status, judges that driver is likely to be at the state of one hand drive, at this time vehicle intelligent terminal 2
It will be prompted by voice cue module 23 to driver.
In alternative embodiment of the invention, the system also includes smoke alarms.The smoke alarm with it is vehicle-mounted
Intelligent terminal is connected, and when smoke alarm detects in compartment there is smog generation, and vehicle monitoring module 21 monitors vehicle
When in driving status, vehicle intelligent terminal 2 will judge that driver may smoke, and by voice cue module 23 to driving
The person of sailing prompts the dangerous driving behavior.
In alternative embodiment of the invention, the system also includes the road condition acquiring camera being set to around vehicle body, institutes
Road condition acquiring camera is stated for acquiring road middle line and sideline image, and is sent to vehicle intelligent terminal;The vehicle intelligent
Terminal is equipped with route monitoring modular, and the route monitoring modular judges vehicle based on the consecutive variations of road middle line and sideline image
Whether deviation route.For example, when vehicle monitoring module 21 does not monitor that vehicle turn signal is opened, and route monitoring module monitors arrive
Vehicle is when amplitude of variation is excessive within the short time at a distance from road middle line or sideline, vehicle intelligent terminal will judge driver may
Dangerous driving behavior, and prompted by voice cue module 23 to driver.
The vehicle intelligent terminal is one of ADAS equipment, OBD equipment, TBOX equipment.
The foregoing is merely presently preferred embodiments of the present invention, is not intended to limit the invention, it is all in spirit of the invention and
Within principle, any modification, equivalent replacement, improvement and so on be should all be included in the protection scope of the present invention.
Claims (8)
1. a kind of safe driving Activity recognition system based on vehicle intelligent terminal, which is characterized in that the system comprises vehicle-mounted
Equipment, interface system and back-end data base, the mobile unit include high-definition camera, vehicle intelligent terminal, the high definition
Camera receives described image or driving for acquiring driver's face-image or driving behavior video, the vehicle intelligent terminal
Behavior video is simultaneously locally judging that driver whether there is dangerous driving behavior, and is passed judging result by the interface system
Transport to back-end data base, the high-definition camera is connected with vehicle intelligent terminal, vehicle intelligent terminal respectively with interface system
And vehicle control bus is connected, interface system is connected with back-end data base.
2. a kind of safe driving Activity recognition system based on vehicle intelligent terminal according to claim 1, feature exist
In, whether the system judges safely the driving behavior of driver, specifically includes the following steps:
S1, high-definition camera acquire the face-image of driver under normal circumstances in advance, and are sent to vehicle intelligent terminal progress
Processing;
S2, in vehicle travel process, acquire the facial area image or video of driver in real time by high-definition camera, pass
Vehicle intelligent terminal is transported to be judged;
S3, vehicle intelligent terminal judge that driver drives with the presence or absence of danger based on the real-time face area image or video of driver
Behavior is sailed, dangerous driving behavior then carries out next step if it exists, waits high-definition camera subsequent if without dangerous driving behavior
It passes image back or video continues to judge;
S4, vehicle intelligent terminal generate message for existing dangerous driving behavior type and are sent to rear end by interface system
Database is stored;
There is currently dangerous driving behaviors by voice mode prompt driver for S5, vehicle intelligent terminal.
3. a kind of safe driving Activity recognition system based on vehicle intelligent terminal according to claim 2, feature exist
In, in step S3, when vehicle intelligent terminal judges the video that high-definition camera is passed back, specifically includes the following steps:
S31, video is decomposed into several single-frame images;
S32, creation multithreading task, per thread is for judging in different single-frame images with the presence or absence of dangerous driving behavior;
S33, next step is carried out if judging dangerous driving behavior, if waiting high-definition camera without dangerous driving behavior
Subsequent video of passing back re-execute the steps S31.
4. a kind of safe driving Activity recognition system based on vehicle intelligent terminal according to claim 3, feature exist
In judging to specifically include: by judging eyes closed degree in several consecutive images in image with the presence or absence of dangerous driving behavior
And the opening and closing degree of mouth judges driver with the presence or absence of fatigue driving behavior;By judging whether there there is different mouth region in image
Object shadowing driver whether there is influent pH.
5. a kind of safe driving Activity recognition system based on vehicle intelligent terminal according to claim 1, feature exist
In the vehicle intelligent terminal includes vehicle monitoring module, driving behavior identification module, voice cue module and wireless telecommunications
Module, the vehicle monitoring module connect vehicle control bus by interface and obtain vehicle operation data;The driving behavior is known
Other module is used to analyze the image that high-definition camera is passed back or video judges driver with the presence or absence of dangerous driving behavior;Institute's predicate
Sound cue module is used for voice prompting driver current vehicle driving status, whether there is dangerous driving behavior;The channel radio
Interrogate the data communication that module is used to realize vehicle intelligent terminal and back-end data base by interface system.
6. a kind of safe driving Activity recognition system based on vehicle intelligent terminal according to claim 1, feature exist
In the system also includes intelligent steering wheel set, equipped with several pressure sensors and bluetooth in the intelligent steering wheel set
Communication module, the pressure sensor cover rounded arrangement along intelligent steering wheel, between each pressure sensor distance it is identical and
It is connected in series, signal is generated according to the pressure detected when driver holds steering wheel and is sent to by bluetooth communication module
Vehicle intelligent terminal.
7. a kind of safe driving Activity recognition system based on vehicle intelligent terminal according to claim 1, feature exist
In the system also includes smoke alarm, the smoke alarm is connected with vehicle intelligent terminal.
8. a kind of safe driving Activity recognition system based on vehicle intelligent terminal according to claim 1, feature exist
In the system also includes the road condition acquiring camera being set to around vehicle body, the road condition acquiring camera is for acquiring road
Middle line and sideline image, and it is sent to vehicle intelligent terminal;The vehicle intelligent terminal is equipped with route monitoring modular, the route
Monitoring modular be based on road middle line and sideline image change judge vehicle whether deviation route.
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