AU2021101975A4 - A method and a system for automatic detection of drunk driving in a motor vehicle - Google Patents
A method and a system for automatic detection of drunk driving in a motor vehicle Download PDFInfo
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- AU2021101975A4 AU2021101975A4 AU2021101975A AU2021101975A AU2021101975A4 AU 2021101975 A4 AU2021101975 A4 AU 2021101975A4 AU 2021101975 A AU2021101975 A AU 2021101975A AU 2021101975 A AU2021101975 A AU 2021101975A AU 2021101975 A4 AU2021101975 A4 AU 2021101975A4
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- 238000001514 detection method Methods 0.000 title claims abstract description 218
- 238000000034 method Methods 0.000 title claims abstract description 16
- 230000001815 facial effect Effects 0.000 claims abstract description 66
- LFQSCWFLJHTTHZ-UHFFFAOYSA-N Ethanol Chemical compound CCO LFQSCWFLJHTTHZ-UHFFFAOYSA-N 0.000 claims abstract description 58
- 230000001960 triggered effect Effects 0.000 claims description 12
- 230000001133 acceleration Effects 0.000 claims description 6
- 210000001747 pupil Anatomy 0.000 claims description 3
- 238000004088 simulation Methods 0.000 claims description 3
- 230000007547 defect Effects 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000007812 deficiency Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000029058 respiratory gaseous exchange Effects 0.000 description 1
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
- 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
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60K—ARRANGEMENT OR MOUNTING OF PROPULSION UNITS OR OF TRANSMISSIONS IN VEHICLES; ARRANGEMENT OR MOUNTING OF PLURAL DIVERSE PRIME-MOVERS IN VEHICLES; AUXILIARY DRIVES FOR VEHICLES; INSTRUMENTATION OR DASHBOARDS FOR VEHICLES; ARRANGEMENTS IN CONNECTION WITH COOLING, AIR INTAKE, GAS EXHAUST OR FUEL SUPPLY OF PROPULSION UNITS IN VEHICLES
- B60K28/00—Safety devices for propulsion-unit control, specially adapted for, or arranged in, vehicles, e.g. preventing fuel supply or ignition in the event of potentially dangerous conditions
- B60K28/02—Safety devices for propulsion-unit control, specially adapted for, or arranged in, vehicles, e.g. preventing fuel supply or ignition in the event of potentially dangerous conditions responsive to conditions relating to the driver
- B60K28/06—Safety devices for propulsion-unit control, specially adapted for, or arranged in, vehicles, e.g. preventing fuel supply or ignition in the event of potentially dangerous conditions responsive to conditions relating to the driver responsive to incapacity of driver
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N33/00—Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
- G01N33/48—Biological material, e.g. blood, urine; Haemocytometers
- G01N33/483—Physical analysis of biological material
- G01N33/497—Physical analysis of biological material of gaseous biological material, e.g. breath
- G01N33/4972—Determining alcohol content
-
- 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
-
- 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
- G08B21/18—Status alarms
- G08B21/182—Level alarms, e.g. alarms responsive to variables exceeding a threshold
-
- 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
- B60W2040/0836—Inactivity or incapacity of driver due to alcohol
-
- 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
- B60W2540/00—Input parameters relating to occupants
- B60W2540/24—Drug level, e.g. alcohol
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- Engineering & Computer Science (AREA)
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- Transportation (AREA)
- Biomedical Technology (AREA)
- Mechanical Engineering (AREA)
- Business, Economics & Management (AREA)
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- Automation & Control Theory (AREA)
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- General Health & Medical Sciences (AREA)
- Food Science & Technology (AREA)
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- Urology & Nephrology (AREA)
- Mathematical Physics (AREA)
- Hematology (AREA)
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- Combustion & Propulsion (AREA)
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Abstract
The invention discloses a method and a system for automatic detection of drunk
driving in a motor vehicle which relate to the technical field of automobile safety. The
main points of the technical solution are: alcohol concentration detection, facial
feature detection and driving dynamic detection are sequentially performed according
to trigger signals; The information obtained from alcohol concentration detection,
facial feature detection, and driving dynamic detection are respectively calculated
according to the actual first detection coefficient, the actual second detection
coefficient and the actual third detection coefficient to obtain the first detection value,
the second detection value, and the third detection value; finally, these values are
re-calculated via the weight coefficients to obtain the detection value of drunk driving.
The invention combines alcohol concentration, facial feature detection and driving
dynamic detection that can accurately detect whether the driver is in a drunk driving
state.
2
Drawings
Trigger Control Module
Alcohol Concentration 2 2
Detection Module
Facial Feature Detection
Module
Driving Dynamic Detection
Module
FIG. 2
Description
Drawings
Trigger Control Module
Alcohol Concentration 2 2 Detection Module
Facial Feature Detection Module
Driving Dynamic Detection Module
FIG. 2
Description
Technical Field
This invention relates to the technical field of automobile safety, more specifically, it
relates to a method and a system for automatic detection of drunk driving in a motor
vehicle.
Background
Existing drunk driving detection in a motor vehicle generally uses alcohol
concentration detection and facial image recognition for intelligent detection, but the
alcohol concentration detection is easily affected by the air flow in the car, the
breathing of the driver, and the alcohol carried by the passengers, which results in that
the alcohol concentration detection has defects such as avoidable detection and
detection error; similarly, the facial image recognition is easily affected by light
occlusion, different bodies of drivers, and mask wearing, which results in that the
facial image recognition also has defects such as avoidable detection and detection
error. Therefore, designing a method and a system for automatic detection of drunk
driving in a motor vehicle is a problem that we urgently need to solve at present.
Invention Content
In order to solve the deficiencies in the prior art, the purpose of the present invention
is to provide a method and a system for automatic detection of drunk driving in a
motor vehicle.
Description
First of all, the present invention provides a method for automatic detection of drunk driving in a motor vehicle, which includes the following steps:
According to trigger signals, alcohol concentration detection, facial feature detection
and driving dynamic detection are performed in sequence;
The first detection value is calculated according to the alcohol concentration
information obtained by the alcohol concentration detection and the first detection
coefficient;
The second detection value is calculated according to the facial feature information
obtained by the facial feature detection and the actual second detection coefficient,
and the actual second detection coefficient is obtained by performing the multiplying
factor adjustment to the pre-set second detection coefficient according to the alcohol
concentration information;
The third detection value is calculated according to the driving dynamic information
obtained by the driving dynamic detection and the actual third detection coefficient,
and the actual third detection coefficient is obtained by performing the multiplying
factor adjustment to the pre-set third detection coefficient according to the alcohol
concentration information and facial feature information;
The first detection value, the second detection value, and the third detection value are
weighted according to the pre-set weight coefficients to obtain the drunk driving
detection value, and then the pre-set threshold values are used to judge whether the
driver is in the state of drunk driving; if so, the drunk driving warning is triggered.
Further, the specific process of the alcohol concentration detection is:
The alcohol concentration value is obtained via the detected alcohol concentration in
the vehicle;
Description
The first detection value is calculated according to the alcohol concentration value
and the first detection coefficient;
The pre-set first threshold value is used to judge whether the driver is in the state of
drunk driving; if so, the facial feature detection is triggered.
Further, the specific process of the facial feature detection is:
The facial information of the driver is collected according to the facial detection
signal, and the facial feature information is obtained after the facial feature extracting
and comparing with the facial feature information of the pre-built human facial
model;
Facial feature information is composed of the skin colour feature information and
eyes dynamic information; the skin colour feature information includes the face skin
colour feature and the ear skin colour feature; eyes dynamic information includes
blink frequency feature and pupil zoom feature;
The pre-set second threshold value is used to judge whether the driver is in the state of
drunk driving; if so, the driving dynamic detection is triggered.
Further, the specific process of the driving dynamic detection is:
The acceleration, pitch angle and posture balance of the driver is detected according
to the dynamic detection signal;
The driving posture of the driver is simulated based on the acceleration, pitch angle,
and posture balance of the driver, and the driving dynamics value is obtained by
analysing the simulation result;
Description
Further, the pre-set weight coefficient is obtained by comprehensive analysis based on
vehicle body operating parameters, driver's age, day and night distribution, and
driver's gender.
Secondly, the present invention provides a system for automatic detection of drunk
driving in a motor vehicle, which includes:
The trigger control module is used to sequentially perform alcohol concentration
detection, facial feature detection, and driving dynamic detection according to the
trigger signal;
The alcohol concentration detection module is used to calculate the first detection
value according to the alcohol concentration information obtained by the alcohol
concentration detection and the first detection coefficient;
The facial feature detection module is used to calculate the second detection value
according to the facial feature information obtained by the facial feature detection and
the actual second detection coefficient, and obtain the actual second detection
coefficient by performing the multiplying factor adjustment to the pre-set second
detection coefficient according to the alcohol concentration information;
The driving dynamic detection module is used to calculate the third detection value
according to the driving dynamic information obtained by the driving dynamic
detection and the actual third detection coefficient, and obtain the actual third
detection coefficient by performing the multiplying factor adjustment to the pre-set
third detection coefficient according to the alcohol concentration information and
facial feature information;
Description
The drunk driving detection module is used to weight the first detection value, the
second detection value, and the third detection value according to the pre-set weight
coefficients to obtain the drunk driving detection value, and then use the pre-set
threshold values to judge whether the driver is in the state of drunk driving; if so, the
drunk driving warning is triggered.
Compared with the prior art, the present invention has the following benefits: the
present invention combines alcohol concentration detection, facial feature detection
and driving dynamic detection which not only realizes the independent drunk driving
detection of alcohol concentration detection, facial feature detection, and driving
dynamic detection, but also combine the results of the alcohol concentration detection,
the facial feature detection and the driving dynamic detection together for
comprehensive analysis, which can be more accurate to detect whether the driver is in
a state of drunk driving.
Description of Drawings
The drawings described here are used to provide a further understanding of the
embodiments of the present invention, constitute a part of the invention, but do not
constitute a limitation to the embodiments of the present invention.
FIG. 1 is a flowchart in an embodiment of the present invention;
FIG. 2 is a system block diagram in an embodiment of the present invention.
Detailed Description
Description
In order to make the objectives, technical solutions, and advantages of the present
invention clearer, the present invention will be further described in detail below with
reference to the embodiment and drawings. The embodiment of the present invention
and the description thereof are only used to explain the present invention but not a
limitation of the present invention.
Embodiment 1: The automatic detection method of drunk driving in a motor vehicle,
as shown in FIG. 1, includes the following steps:
Si01: Perform alcohol concentration detection, facial feature detection and driving
dynamic detection in sequence according to trigger signals;
S102: Calculate the first detection value according to the alcohol concentration
information obtained by the alcohol concentration detection and the first detection
coefficient;
S103: Calculate the second detection value according to the facial feature information
obtained by the facial feature detection and the actual second detection coefficient,
and obtain the actual second detection coefficient by performing the multiplying
factor adjustment to the pre-set second detection coefficient according to the alcohol
concentration information;
S104: Calculate the third detection value according to the driving dynamic
information obtained by the driving dynamic detection and the actual third detection
coefficient, and obtain the actual third detection coefficient by performing the
multiplying factor adjustment to the pre-set third detection coefficient according to
the alcohol concentration information and facial feature information;
Description
S105: Weight the first detection value, the second detection value, and the third
detection value according to the pre-set weight coefficients to obtain the drunk driving
detection value, and then use the pre-set threshold values to judge whether the driver
is in the state of drunk driving; if so, the drunk driving warning is triggered.
The specific process of the alcohol concentration detection is: The alcohol
concentration value is obtained via the detected alcohol concentration in the vehicle;
the first detection value is calculated according to the alcohol concentration value and
the first detection coefficient; the pre-set first threshold value is used to judge whether
the driver is in the state of drunk driving; if so, the facial feature detection is triggered.
The specific process of the facial feature detection is: The facial information of the
driver is collected according to the facial detection signal, and the facial feature
information is obtained after the facial feature extracting and comparing with the
facial feature information of the pre-built human facial model; facial feature
information is composed of the skin colour feature information and eyes dynamic
information; the skin colour feature information includes the face skin colour feature
and the ear skin colour feature; eyes dynamic information includes blink frequency
feature and pupil zoom feature; the pre-set second threshold value is used to judge
whether the driver is in the state of drunk driving; if so, the driving dynamic detection
is triggered.
The specific process of the driving dynamic detection is: The acceleration, pitch angle
and posture balance of the driver is detected according to the dynamic detection signal;
The driving posture of the driver is simulated based on the acceleration, pitch angle,
Description
and posture balance of the driver, and the driving dynamics value is obtained by
analysing the simulation result;
The pre-set weight coefficient is obtained by comprehensive analysis based on vehicle
body operating parameters, driver's age, day and night distribution, and driver's
gender.
Embodiment 2: The automatic detection system of drunk driving in a motor vehicle,
as shown in FIG. 2, includes the trigger control module, the alcohol concentration
detection module, the facial feature detection module, the driving dynamic detection
module and the drunk driving detection module.
The trigger control module is used to sequentially perform alcohol concentration
detection, facial feature detection, and driving dynamic detection according to the
trigger signal;
The alcohol concentration detection module is used to calculate the first detection
value according to the alcohol concentration information obtained by the alcohol
concentration detection and the first detection coefficient;
The facial feature detection module is used to calculate the second detection value
according to the facial feature information obtained by the facial feature detection and
the actual second detection coefficient, and obtain the actual second detection
coefficient by performing the multiplying factor adjustment to the pre-set second
detection coefficient according to the alcohol concentration information;
The driving dynamic detection module is used to calculate the third detection value
according to the driving dynamic information obtained by the driving dynamic
Description
detection and the actual third detection coefficient, and obtain the actual third
detection coefficient by performing the multiplying factor adjustment to the pre-set
third detection coefficient according to the alcohol concentration information and
facial feature information;
The drunk driving detection module is used to weight the first detection value, the
second detection value, and the third detection value according to the pre-set weight
coefficients to obtain the drunk driving detection value, and then use the pre-set
threshold values to judge whether the driver is in the state of drunk driving; if so, the
drunk driving warning is triggered.
The specific embodiments described above further describe the purpose, technical
solutions and beneficial effects of the present invention in further detail. It should be
understood that the above descriptions are only specific embodiments of the present
invention but not intended to limit the scope of the present invention. The protection
scope, any modification, equivalent replacement, improvement, etc. made within the
spirit and principle of the present invention shall be included in the protection scope
of the present invention.
Claims (5)
1. An automatic detection method of drunk driving in a motor vehicle is characterized
by the following steps:
According to trigger signal, alcohol concentration detection, facial feature detection
and driving dynamic detection are performed in sequence;
The first detection value is calculated according to the alcohol concentration
information obtained by the alcohol concentration detection and the first detection
coefficient;
The second detection value is calculated according to the facial feature information
obtained by the facial feature detection and the actual second detection coefficient,
and the actual second detection coefficient is obtained by performing the multiplying
factor adjustment to the pre-set second detection coefficient according to the alcohol
concentration information;
The third detection value is calculated according to the driving dynamic information
obtained by the driving dynamic detection and the actual third detection coefficient,
and the actual third detection coefficient is obtained by performing the multiplying
factor adjustment to the pre-set third detection coefficient according to the alcohol
concentration information and facial feature information;
Pre-set weight coefficients are obtained by comprehensive analysis based on vehicle
body operating parameters, driver's age, day and night distribution, and driver's
gender.
The first detection value, the second detection value, and the third detection value are
weighted according to the pre-set weight coefficients to obtain the drunk driving
detection value, and then the pre-set threshold values are used to judge whether the
driver is in the state of drunk driving; if so, the drunk driving warning is triggered.
Claims
2. The automatic detection method of drunk driving in a motor vehicle according to
claim 1, wherein the specific process of the alcohol concentration detection is:
The alcohol concentration value is obtained via the detected alcohol concentration in
the vehicle;
The first detection value is calculated according to the alcohol concentration value
and the first detection coefficient;
The pre-set first threshold value is used to judge whether the driver is in the state of
drunk driving; if so, the facial feature detection is triggered.
3. The automatic detection method of drunk driving in a motor vehicle according to
claim 1, wherein the specific process of the facial feature detection is:
The facial information of the driver is collected according to the facial detection
signal, and the facial feature information is obtained after the facial feature extracting
and comparing with the facial feature information of the pre-built human facial
model;
Facial feature information is composed of the skin colour feature information and
eyes dynamic information; the skin colour feature information includes the face skin
colour feature and the ear skin colour feature; eyes dynamic information includes
blink frequency feature and pupil zoom feature;
The pre-set second threshold value is used to judge whether the driver is in the state of
drunk driving; if so, the driving dynamic detection is triggered.
4. The automatic detection method of drunk driving in a motor vehicle according to
claim 1, wherein the specific process of the driving dynamic detection is:
The acceleration, pitch angle and posture balance of the driver is detected according
to the dynamic detection signal;
Claims
The driving posture of the driver is simulated based on the acceleration, pitch angle,
and posture balance of the driver, and the driving dynamics value is obtained by
analysing the simulation result;
5. The automatic detection system of drunk driving in a motor vehicle is characterized
by:
The trigger control module is used to sequentially perform alcohol concentration
detection, facial feature detection, and driving dynamic detection according to the
trigger signal;
The alcohol concentration detection module is used to calculate the first detection
value according to the alcohol concentration information obtained by the alcohol
concentration detection and the first detection coefficient;
The facial feature detection module is used to calculate the second detection value
according to the facial feature information obtained by the facial feature detection and
the actual second detection coefficient, and obtain the actual second detection
coefficient by performing the multiplying factor adjustment to the pre-set second
detection coefficient according to the alcohol concentration information;
The driving dynamic detection module is used to calculate the third detection value
according to the driving dynamic information obtained by the driving dynamic
detection and the actual third detection coefficient, and obtain the actual third
detection coefficient by performing the multiplying factor adjustment to the pre-set
third detection coefficient according to the alcohol concentration information and
facial feature information;
The drunk driving detection module is used to weight the first detection value, the
second detection value, and the third detection value according to the pre-set weight
coefficients to obtain the drunk driving detection value, and then use the pre-set
Claims
threshold values to judge whether the driver is in the state of drunk driving; if so, the
drunk driving warning is triggered.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| AU2021101975A AU2021101975A4 (en) | 2021-04-16 | 2021-04-16 | A method and a system for automatic detection of drunk driving in a motor vehicle |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| AU2021101975A AU2021101975A4 (en) | 2021-04-16 | 2021-04-16 | A method and a system for automatic detection of drunk driving in a motor vehicle |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| AU2021101975A4 true AU2021101975A4 (en) | 2021-06-03 |
Family
ID=76132908
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| AU2021101975A Ceased AU2021101975A4 (en) | 2021-04-16 | 2021-04-16 | A method and a system for automatic detection of drunk driving in a motor vehicle |
Country Status (1)
| Country | Link |
|---|---|
| AU (1) | AU2021101975A4 (en) |
-
2021
- 2021-04-16 AU AU2021101975A patent/AU2021101975A4/en not_active Ceased
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| MK22 | Patent ceased section 143a(d), or expired - non payment of renewal fee or expiry |