CN210000130U - automobile self-recognition deceleration system - Google Patents
automobile self-recognition deceleration system Download PDFInfo
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- CN210000130U CN210000130U CN201920614039.0U CN201920614039U CN210000130U CN 210000130 U CN210000130 U CN 210000130U CN 201920614039 U CN201920614039 U CN 201920614039U CN 210000130 U CN210000130 U CN 210000130U
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Abstract
The utility model discloses an kind car self-identification deceleration system, including driver fatigue prevention and control system, on-vehicle system module, on-vehicle central controller module and execution module, driver fatigue prevention and control system establishes with on-vehicle central controller module and is connected for transmitting the signal of slowing down to on-vehicle central controller, on-vehicle system module establishes with on-vehicle central controller module and is connected, on-vehicle system module is used for monitoring the real-time vehicle condition information of vehicle, and with vehicle condition information transmission to on-vehicle central controller module, on-vehicle central controller module is used for comparing the back with predetermined threshold value with the signal of slowing down, exports corresponding action information to execution module, the utility model discloses an inside driver fatigue prevention and control system of car, when detecting that the driver is in driver fatigue state, the driver can not in time take actions such as slowing down or brake, the vehicle is automatic slows down until the parking, can avoid the risk effectively, improves the security that the car used greatly, has reduced driver's intensity of labour.
Description
Technical Field
The utility model belongs to the technical field of automotive electronics control, in particular to kinds of car self-identification speed reduction systems.
Background
According to incomplete statistics, the percentage of traffic accidents caused by fatigue driving in China is about 20% of the total number, the percentage of traffic accidents is more than 40% of the number of huge traffic accidents, and the percentage of traffic accidents is 83%, the investigation in the United states in 2001 finds that 53% of respondents show that the respondents doze during driving, and the results of alertness test and questionnaire investigation of the motorists initiated by Senoffy-san Delabao in 2003 show that 24% of motorists feel fatigue driving feeling, 10% of motorists dozes during driving on the day and 50% of respondents dozes back to dozes during driving.
SUMMERY OF THE UTILITY MODEL
To not enough among the above-mentioned prior art, the utility model provides an kinds of driver fatigue monitoring system and car are from discernment speed reduction system discerns, judges through the driver's fatigue driving state, sends warning or car and reduces speed from discernment to avoid driver fatigue driving risk.
In order to achieve the above purpose, the technical scheme of the utility model is that:
A self-recognition deceleration system for automobiles comprises a fatigue driving prevention and control system, a vehicle-mounted system module, a vehicle-mounted central controller module and an execution module, wherein the fatigue driving prevention and control system is connected with the vehicle-mounted central controller module and used for transmitting deceleration signals to the vehicle-mounted central controller module, the vehicle-mounted system module is connected with the vehicle-mounted central controller module and used for monitoring real-time vehicle condition information of vehicles and transmitting the vehicle condition information to the vehicle-mounted central controller module, and the vehicle-mounted central controller module is used for comparing the deceleration signals and the vehicle condition information with preset thresholds and then outputting corresponding action information to the execution module according to comparison results.
, the vehicle system module comprises a gradient sensor, a speed sensor and a radar sensor, the output end of the gradient sensor is connected with the second input end of the vehicle central controller module, the output end of the speed sensor is connected with the third input end of the vehicle central controller module, and the output end of the radar sensor is connected with the fourth input end of the vehicle central controller module.
, the grade sensors include a grade sensor and a second grade sensor, the grade sensor being disposed adjacent the left front lower swing arm of the vehicle chassis, the second grade sensor being disposed adjacent the left rear tie rod of the vehicle.
, a vehicle speed sensor is arranged on the output shaft of the vehicle transmission, and radar sensors are arranged at the front and rear license plates of the vehicle.
, the execution module is a motor controller module, the input end of the motor controller module is connected with the output end of the vehicle-mounted central controller module, and the output end of the motor control module is connected with the vehicle motor;
, the execution module is a fuel injection quantity control module, the input end of the fuel injection quantity control module is connected with the output end of the vehicle-mounted central controller module, and the output end of the fuel injection quantity control module is connected with the vehicle engine.
, the fatigue driving prevention and control system comprises a physiological parameter collection module, a calculation processing module, a control module and a warning output module, wherein the output end of the physiological parameter collection module is connected with the input end of the calculation processing module, the output end of the calculation processing module is connected with the input end of the control module, and the output end of the control module is connected with the warning output module.
And , the physiological parameter acquisition module comprises a camera and an image processing module, the camera is used for acquiring the face image of the driver in real time and transmitting the acquired face image to the image processing module, and the image processing module is used for preprocessing the face image to obtain eyeball coordinate data of the driver.
, the control module includes a judging unit for comparing the transmitted eye movement characteristic parameter with a preset threshold value, and outputting the action signal to the warning output module.
And , the warning output module comprises a display unit, a voice module, a deceleration signal unit, a path planning guidance unit and a warning linkage unit, and the display unit, the voice module, the deceleration signal unit, the path planning guidance unit and the warning linkage unit are all connected with the output end of the control unit.
Compared with the prior art, the beneficial effects of the utility model are that:
the utility model provides an kind of car is from identification system, through the driver fatigue prevention and control system of car inside, when detecting that the driver is in the driver fatigue state, the driver can not in time take actions such as speed reduction or brake, and the vehicle is automatic to be slowed down until stopping, can avoid the risk effectively, improves the security that the car used greatly, has reduced driver's intensity of labour, advances step and satisfies people to the operation requirement of car.
step-by-step, the utility model discloses well driver fatigue prevention and control system produces eyeball coordinate data to driver's facial image monitoring through adopting physiological parameter collection module, utilizes eyeball coordinate data to draw eye movement characteristic parameter, if eye movement characteristic parameter exceeds preset threshold value, affirms driver fatigue promptly, fatigue output module is connected to the controller, fatigue output module warns and vehicle slows down, discerns through the driver's fatigue driving state, judges, sends warning or car self-identification speed reduction to avoid driver fatigue driving risk, realized the initiative security of car, the utility model discloses equipment retrencies, measurement accuracy is high, is difficult for receiving complicated traffic environment influence, and the security is high.
Drawings
Fig. 1 is a block diagram of a self-recognition deceleration system of an electric vehicle according to embodiment 1 of the present invention;
fig. 2 is a structural block diagram of a fuel automobile self-recognition deceleration system according to embodiment 2 of the present invention;
FIG. 3 is a block diagram of the fatigue driving prevention and control system of the self-recognition deceleration system of the present invention;
fig. 4 is the utility model discloses driver fatigue monitoring system functional block diagram among the car self-identification deceleration system.
The system comprises a fatigue driving prevention and control system 1, a vehicle-mounted system module 2, a vehicle-mounted central controller module 3, a warning module 4, a motor controller module 5, a motor 6, a fuel injection quantity controller module 7 and an engine 8, wherein the vehicle-mounted central controller module is connected with the motor controller module 6; the system comprises a physiological parameter acquisition module 11, a calculation processing module 12, a control module 13, a warning output module 14 and a statistical scoring unit 15; a 21 gradient sensor, a 22 vehicle speed sensor, a 23 radar sensor, a 41 alarm linkage unit and a 42 voice prompt unit; the system comprises a 111 camera, a 112 image processing module, a 131 storage module, a 132 distinguishing module, a 133 auxiliary module, a 141 display unit, a 142 voice module, a 143 deceleration signal unit, a 144 path induction unit and a 145 warning linkage unit.
Detailed Description
To make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings, which are used for explaining the present invention and are not limited thereto.
The utility model also provides a car self-identification deceleration system, including fatigue driving prevention and control system 1, on-vehicle system module 2, on-vehicle central controller module 3, execution module and warning module 4, fatigue driving prevention and control system 1 is used for outputting deceleration signals according to driver's fatigue state, fatigue driving prevention and control system 1 is connected with the input end of on-vehicle central controller module 3, on-vehicle system module 2 is used for monitoring vehicle driving condition information, on-vehicle system module 2 is connected with on-vehicle central controller module 3, on-vehicle system module 2 includes gradient sensor 21, speed sensor 22 and radar sensor 23, the output end of gradient sensor 21 is connected with the second input end of on-vehicle central controller module 3, gradient sensor 21 is used for monitoring road gradient information, transmit current road gradient information to on-vehicle central controller module 3, gradient sensor 21 includes gradient sensor and second gradient sensor, the gradient sensor is arranged near the lower swing arm at the left front and front of vehicle chassis, the second gradient sensor is arranged near the left rear pull rod of vehicle, the output end of speed sensor 22 is connected with the third gradient sensor and the second gradient sensor, the radar sensor is used for detecting vehicle speed sensor, the alarm signal is arranged at the front and the front of vehicle speed sensor, the current alarm control module, the alarm module is connected with the vehicle speed sensor, the alarm module, the vehicle speed sensor is used for detecting the vehicle speed sensor, the alarm module, the vehicle speed sensor, the alarm module is arranged at the front and the front of vehicle central controller module, the front of the rear vehicle, the rear of the rear vehicle, the rear of the rear vehicle, the rear of the rear vehicle, the.
The input end of the execution module is connected with the second output end of the vehicle-mounted central controller module 4, and the output end of the execution module is connected with a vehicle power system and used for executing deceleration or parking actions according to action signals of the vehicle-mounted central controller module 4.
Principle of operation
When the fatigue driving prevention and control system 1 sends a deceleration signal, the vehicle-mounted central processing module 3 judges and compares the acquired data, and meanwhile, the gradient sensor 21, the vehicle speed sensor 22 and the radar detector 23 judge the gradient condition of the vehicle, the obstacle of the vehicle ahead, including the speed conditions of pedestrians, vehicles and the vehicles ahead and behind, and analyze and judge the speed value range adaptive to the environment.
If the vehicle is an electric vehicle, the vehicle-mounted central controller module 3 sends an action instruction to the motor controller module 5 to control the transmission voltage of the motor 6, so that the effects of speed reduction and even parking are achieved; if the vehicle is a fuel automobile, the vehicle-mounted central controller module 3 sends an action instruction to the fuel injection quantity controller module 7, and calculates the required fuel injection quantity and fuel injection time according to the preset running speed, so that the effects of speed reduction and even stopping are achieved. If the radar detector 23 finds that an obstacle exists in the front, the vehicle-mounted central controller module 3 can also send a deceleration action command to the vehicle in time. When the vehicle encounters an unavoidable emergency to cause a traffic accident, the vehicle-mounted central controller module 3 sends an alarm signal to the warning unit 4.
Illustratively, if the vehicle-mounted central controller module 3 determines that the fatigue degree of the driver is moderate fatigue by combining the driver information monitored by the fatigue driving prevention and control system 1, the information acquired by the gradient sensor 21, the vehicle speed sensor 22 and the radar detector 23, and no vehicle comes from the front or the rear of the driver, but an obstacle (pedestrian) exists in the front of the driver, the vehicle-mounted central controller module 3 prompts the driver that the obstacle exists in the front of the driver, and please decelerate, and sends an action instruction to the motor controller module 5 or the fuel injection amount control module 7 to enable the vehicle to decelerate automatically, and a speed value range is selected by the vehicle-mounted central controller module by combining with various sensors comprehensively.
Example 1
Referring to fig. 1, by taking an electric vehicle as an example, automobile self-recognition deceleration systems comprise a fatigue driving prevention and control system 1, an automobile system module 2, an automobile central controller module 3, a warning module 4 and a motor controller module 5, wherein the fatigue driving prevention and control system 1 is used for outputting deceleration signals according to fatigue states of drivers, the fatigue driving monitoring system 1 is connected with a input end of the automobile central controller module 2, the automobile system module 2 is used for monitoring vehicle driving condition information, the automobile system module 2 is connected with the automobile central controller module 3, the automobile system module 2 comprises a gradient sensor 21, a vehicle speed sensor 22 and a radar sensor 23, an output end of the gradient sensor 21 is connected with a second input end of the automobile central controller module 3, the gradient sensor 21 is used for monitoring road gradient information and transmitting the current road gradient information to the automobile central controller module 3, the gradient sensor 21 comprises a gradient sensor and a second gradient sensor, the gradient sensor is arranged near a left front lower swing arm of a vehicle chassis, the second gradient sensor is arranged near a left rear pull rod of the automobile, the gradient sensor is connected with the automobile central controller module 22, the automobile central controller module 3, the automobile controller module is connected with a fourth gradient sensor 23, the automobile controller module is used for controlling a current vehicle speed control module, the automobile output end of the automobile central controller module, the automobile controller module 23, the automobile controller module is used for controlling a vehicle speed sensor 23, the automobile central controller module, the automobile output end of the automobile central controller module, the automobile controller module is used for controlling the automobile central controller module, the automobile controller module is connected with the automobile central controller module, the automobile controller module is used for controlling the automobile controller module, the automobile output end of the automobile controller module, the automobile central controller module, the automobile controller module is connected with the automobile controller module, the automobile.
Example 2
Referring to the attached drawing 2, a fuel automobile is taken as an example, automobile self-recognition deceleration systems comprise a fatigue driving prevention and control system 1, an automobile system module 2, an automobile central controller module 3, a warning module 4 and an oil injection amount controller module 7, the fatigue driving prevention and control system 1 is used for outputting deceleration signals according to fatigue states of drivers, a deceleration signal unit of the fatigue driving monitoring system is connected with a th input end of the automobile central controller module 3, the automobile system module 2 is used for monitoring vehicle driving condition information, the automobile system module 2 is connected with the automobile central controller module 3, the automobile system module 2 comprises a gradient sensor 21, an automobile speed sensor 22 and a radar sensor 23, an output end of the gradient sensor 21 is connected with a second input end of the automobile central controller module 3, the gradient sensor 21 is used for monitoring road gradient information and transmitting the current road gradient information to the automobile central controller module 3, the automobile gradient sensor 21 comprises a gradient sensor and a second gradient sensor, the gradient sensor is arranged near a front lower left swing arm of a bottom plate of the automobile, the second gradient sensor is arranged near a rear pull rod, the automobile rear vehicle, the alarm rod is connected with a rear vehicle controller module 3, the automobile central controller module, the automobile controller module is connected with a vehicle speed sensor 23, the automobile central controller module, the automobile controller module is used for controlling the automobile output end of the automobile central controller module, the automobile controller module 23 is used for controlling the automobile engine module, the automobile central controller module, the automobile speed sensor 23, the automobile driving module, the automobile system module is used for controlling the automobile output end of the automobile system module, the automobile driving module, the automobile controller module, the automobile system module, the automobile controller module is used for controlling the automobile driving module, the automobile speed sensor 23, the automobile controller module is used for controlling the automobile speed sensor 23, the automobile driving module, the automobile controller module is used for controlling the automobile driving module, the automobile controller module, the automobile driving module is used for controlling the automobile driving module, the automobile.
Referring to fig. 3, kinds of fatigue driving monitoring system, including physiological parameter collection module 11, calculation processing module 12, control module 13 and warning output module 14, physiological parameter collection module 11's output is connected with calculation processing module 12's input, and calculation processing module 12's output is connected with control module 13's input, and control module 13's output is connected with warning output module 14's input.
The physiological parameter acquisition module 11 comprises a camera 111 and an image processing module 112, wherein the camera 111 is used for acquiring a face image and transmitting the acquired face image to the image processing module 112; the image processing module 112 is used for preprocessing the face image; carrying out graying processing on the face image during preprocessing, and then carrying out histogram equalization processing to obtain eyeball coordinate data; the image processing module 112 firstly performs graying processing on the acquired face image, then performs histogram equalization processing, performs eyeball positioning and segmentation on the driver by using an Adaboost cascade classifier algorithm based on haar-like features to obtain eyeball coordinate data of the driver, and transmits the eyeball coordinate data to the calculation processing module 12. The utility model discloses well physiological parameter acquisition module 11 relies on the smart mobile phone to realize, fixes the cell-phone in the position that the cell-phone camera can accurately shoot the people's face, then utilizes the video recording function on the intelligence, gathers driver's face image in real time, carries out image preprocessing after image acquisition is accomplished; the required eyeball coordinate data is obtained through accurate positioning and segmentation of the eyes of the driver.
The calculation processing module 12 calculates to obtain eye movement characteristic parameters according to the eyeball coordinate data; eye movement characteristic parameters are for example: blink frequency, eye closure percentage, fixation point, fixation time, and pupil diameter variation coefficient; the characteristic parameters are transmitted to the control module in a data form, and the control module 13 includes a storage module 131, a determination module 132 and an auxiliary module 133; the storage module 131 adopts a cloud database of the smart phone and performs statistical analysis on the eye movement characteristic parameters by using the cloud database of the smart phone; the storage module 132 is configured to store historical data of the eye movement characteristic parameters, and different internal environments, such as the sex and age of the driver, and different external environments, such as weather conditions, all may affect the eye movement trajectory characteristics of the driver to different degrees; extracting data samples from the historical data of the eye movement characteristic parameters of the driver in the first 5-8 minutes, and removing noise data in the data samples for preprocessing to be used as a reference standard of later data. The judging module 132 is configured to compare and judge the transmitted eye movement characteristic parameter with a preset threshold, judge the fatigue level of the driver according to the comparison result, output a corresponding action signal according to different fatigue levels, and transmit the action signal to the warning output module 14;
the auxiliary module 133 includes an anti-interference unit and a misjudgment recovery unit, where the anti-interference unit is used to implement transmission of recovery data in a small range, and avoid interruption of data signal transmission due to a fault problem of the mobile phone itself; and the misjudgment recovery unit is used for manually recovering the control module by a driver when the system misjudges.
The warning output module 14 is used for executing corresponding actions according to the corresponding action signals; the warning output module 14 includes a display unit 141, a voice module 142, a deceleration signal unit 143, a path guidance unit 144, and a warning linkage unit 145; the display unit 141 is configured to display current fatigue information of the driver, and the voice module 142 is configured to wake up the driver by using voice; the deceleration signal unit 143 is connected to the vehicle-mounted central controller module 3 of the vehicle, and is configured to provide a deceleration signal to the vehicle-mounted central controller module 3; the route guidance unit 144 is configured to automatically search and plan a route of a parking rest point near the driver, and warn the driver to stop at the parking place for a rest; the warning linkage unit 145 is configured to perform warning linkage according to a preset warning action and linkage mode.
, the vehicle-mounted driver assessment system further comprises a statistical scoring unit 15, the statistical scoring unit 15 is connected with the control module 13, the statistical scoring unit 15 is used for storing and analyzing the driving condition of the driver within a preset time period, the driving state score value is generated after the evaluation information is subjected to quantization processing, the evaluation information can be used as a driver assessment basis, and corresponding reward and punishment measures can be taken according to the driving state score value.
Principle of operation
Referring to fig. 2, when the fatigue driving prevention and control system is in use, the physiological parameter collection module 11 transmits eyeball coordinate information to the calculation processing module 12, the physiological parameter collection module 12 adopts the camera 111 and the built-in image processing module 112 of the smart phone to complete collection and transmission of eyeball coordinate data, the eye movement characteristic parameter obtained by processing of the calculation processing module 12 is transmitted to the control module, the control module 13 adopts the internal control module of the smart phone, after processing of the processor built in the internal control module of the smart phone is completed, whether the eye movement characteristic parameter index value is in a preset threshold range is judged, if the vehicle is found to be in a driving state and the eye movement characteristic parameter value detected by the fatigue state obtained by analysis exceeds the threshold value 1 set by the , the probability of judging that the driver is in a fatigue driving state is 0-30%, the driver is in a light fatigue state, the voice module 142 of the warning output module 14 is warned, the driver concentrates attention, when the eye movement characteristic parameter value exceeds the threshold value set by the second setting threshold value 2, the probability of judging that the driver is in a fatigue driving state, the warning module is in a moderate fatigue driving state, the warning module 142, the warning module is capable of judging that the vehicle is in a heavy fatigue driving state, the warning output of a warning signal, the vehicle, the central warning module is a central warning signal, the central warning module 14, the central warning module is capable of controlling the central warning, the central warning module 14, the central warning module is capable of displaying a central warning, the central warning module for displaying the central warning, the central warning module for realizing the central warning, the central warning module for displaying of the central warning, the central warning module for displaying the central warning for displaying the central warning, the central warning for the.
In describing embodiments of the present invention, the term "coupled" is intended to be , for example, a fixed connection, a removable connection, or a body ground connection, a mechanical connection, an electrical connection, a direct connection, an indirect connection via an intermediary, and a communication between the two components.
Claims (10)
- The automobile self-identification deceleration system is characterized by comprising a fatigue driving prevention and control system (1), an automobile-mounted system module (2), an automobile-mounted central controller module (3) and an execution module, wherein the fatigue driving prevention and control system (1) is connected with the automobile-mounted central controller module (3) and used for transmitting deceleration signals to the automobile-mounted central controller module (3), the automobile-mounted system module (2) is connected with the automobile-mounted central controller module (3), the automobile-mounted system module (2) is used for monitoring real-time automobile condition information of automobiles and transmitting the automobile condition information to the automobile-mounted central controller module (3), and the automobile-mounted central controller module (3) is used for comparing the deceleration signals and the automobile condition information with preset thresholds and then outputting corresponding action information to the execution module according to comparison results.
- 2. automobile self-identification deceleration system according to claim 1, characterized in that, the vehicle system module (2) includes a gradient sensor (21), a vehicle speed sensor (22) and a radar sensor (23), the output of the gradient sensor (21) is connected with the second input of the vehicle central controller module (3), the output of the vehicle speed sensor (22) is connected with the third input of the vehicle central controller module (3), and the output of the radar sensor (23) is connected with the fourth input of the vehicle central controller module (3).
- 3. The self-identification deceleration system of claim 2, wherein the grade sensor (21) includes a grade sensor and a second grade sensor, the grade sensor is disposed near the left front lower swing arm of the chassis of the vehicle, and the second grade sensor is disposed near the left rear pull rod of the vehicle.
- 4. type automobile self-recognition deceleration system according to claim 2, wherein the vehicle speed sensor (22) is provided on the output shaft of the vehicle transmission, and the radar sensors (23) are provided at the front and rear license plates of the vehicle.
- 5. type automobile self-recognition deceleration system according to claim 1, wherein the execution module is a motor controller module (5), the input end of the motor controller module (5) is connected with the output end of the vehicle-mounted central controller module (3), and the output end of the motor controller module (5) is connected with the vehicle motor (6).
- 6. The automobile self-identification deceleration system according to claim 1, wherein the execution module is an injection quantity control module (7), the input end of the injection quantity control module (7) is connected with the output end of the vehicle-mounted central controller module (3), and the output end of the injection quantity control module (7) is connected with the vehicle engine (8).
- 7. The automobile self-identification deceleration system according to claim 1, wherein the fatigue driving prevention and control system (1) includes a physiological parameter collection module (11), a calculation processing module (12), a control module (13) and a warning output module (14), an output end of the physiological parameter collection module (11) is connected with an input end of the calculation processing module (12), an output end of the calculation processing module (12) is connected with an input end of the control module (13), and an output end of the control module (13) is connected with the warning output module (14).
- 8. The automobile self-recognition deceleration system according to claim 1, wherein the physiological parameter acquisition module (11) includes a camera (111) and an image processing module (112), the camera (111) is used for acquiring a face image of the driver in real time and transmitting the acquired face image to the image processing module (112), and the image processing module (112) is used for preprocessing the face image to obtain eyeball coordinate data of the driver.
- 9. The self-identification deceleration system of claim 1, wherein the control module (13) includes a determination unit (132), the determination unit (132) is configured to compare the transmitted eye movement characteristic parameter with a preset threshold value for determination, and output an action signal, which is transmitted to the warning output module (14).
- 10. The automobile self-recognition deceleration system according to claim 1, wherein the warning output module (14) includes a display unit (141), a voice module (142), a deceleration signal unit (143), a route planning guidance unit (144) and a warning linkage unit (145), and the display unit (141), the voice module (142), the deceleration signal unit (143), the route planning guidance unit (144) and the warning linkage unit (145) are all connected to the output end of the control module (13).
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113442884A (en) * | 2021-07-08 | 2021-09-28 | 的卢技术有限公司 | Intelligent brake assisting method and carrier |
| CN115107725A (en) * | 2022-07-20 | 2022-09-27 | 福建康博电子技术股份有限公司 | Driving and braking control circuit of automobile |
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2019
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113442884A (en) * | 2021-07-08 | 2021-09-28 | 的卢技术有限公司 | Intelligent brake assisting method and carrier |
| CN115107725A (en) * | 2022-07-20 | 2022-09-27 | 福建康博电子技术股份有限公司 | Driving and braking control circuit of automobile |
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