CN108099906B - Collision early warning system installed on automobile and automobile - Google Patents
Collision early warning system installed on automobile and automobile Download PDFInfo
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- CN108099906B CN108099906B CN201711400335.2A CN201711400335A CN108099906B CN 108099906 B CN108099906 B CN 108099906B CN 201711400335 A CN201711400335 A CN 201711400335A CN 108099906 B CN108099906 B CN 108099906B
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- 238000012545 processing Methods 0.000 claims abstract description 17
- 238000000034 method Methods 0.000 claims abstract description 11
- 230000003287 optical effect Effects 0.000 claims description 5
- 238000010586 diagram Methods 0.000 description 5
- 241001465754 Metazoa Species 0.000 description 1
- 206010039203 Road traffic accident Diseases 0.000 description 1
- 230000006978 adaptation Effects 0.000 description 1
- 230000004888 barrier function Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
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- 238000012544 monitoring process Methods 0.000 description 1
- 238000012360 testing method Methods 0.000 description 1
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Classifications
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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
- B60W30/00—Purposes of road vehicle drive control systems not related to the control of a particular sub-unit, e.g. of systems using conjoint control of vehicle sub-units, or advanced driver assistance systems for ensuring comfort, stability and safety or drive control systems for propelling or retarding the vehicle
- B60W30/08—Active safety systems predicting or avoiding probable or impending collision or attempting to minimise its consequences
- B60W30/095—Predicting travel path or likelihood of collision
- B60W30/0956—Predicting travel path or likelihood of collision the prediction being responsive to traffic or environmental parameters
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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
- B60Q9/008—Arrangement or adaptation of signal devices not provided for in one of main groups B60Q1/00 - B60Q7/00, e.g. haptic signalling for anti-collision purposes
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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
- B60W50/00—Details of control systems for road vehicle drive control not related to the control of a particular sub-unit, e.g. process diagnostic or vehicle driver interfaces
- B60W50/08—Interaction between the driver and the control system
- B60W50/14—Means for informing the driver, warning the driver or prompting a driver intervention
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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
- B60W50/00—Details of control systems for road vehicle drive control not related to the control of a particular sub-unit, e.g. process diagnostic or vehicle driver interfaces
- B60W50/08—Interaction between the driver and the control system
- B60W50/14—Means for informing the driver, warning the driver or prompting a driver intervention
- B60W2050/143—Alarm means
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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
- B60W2420/00—Indexing codes relating to the type of sensors based on the principle of their operation
- B60W2420/40—Photo or light sensitive means, e.g. infrared sensors
- B60W2420/403—Image sensing, e.g. optical camera
Abstract
The disclosure relates to a collision early warning system installed on an automobile and the automobile, and belongs to the technical field of automobiles. The collision early warning system comprises a camera and a processor, wherein: the processor is electrically connected with the camera; the camera is used for acquiring an obstacle image and sending the acquired obstacle image to the processor; the processor is used for determining the expected collision time length by utilizing a dynamic image processing algorithm based on multi-frame obstacle images, and if the expected collision time length is less than or equal to a preset value, an alarm instruction is sent to an alarm component electrically connected with the processor so that the alarm component sends an alarm signal. By adopting the method and the system, the accuracy of the early warning sent by the collision early warning system is better.
Description
Technical Field
The present disclosure relates to the field of automotive technologies, and in particular, to a collision warning system mounted on an automobile and an automobile.
Background
With the increasing use frequency of automobiles, people have higher and higher requirements on the safety of the automobiles. More and more automobiles are equipped with collision warning systems.
The collision early warning system is a system which can send out warning information to prompt a driver when an obstacle such as a pedestrian or an automobile exists in a preset range in front of the automobile. The collision early warning system in the prior art detects the obstacle in the front of the automobile based on the microwave radar, specifically, the collision early warning system transmits microwaves to the front of the automobile, the microwaves can be reflected when encountering the obstacle, and the collision early warning system determines whether to send alarm information based on the echo signals (amplitude, phase and the like of the microwaves and the like) of the reflected microwaves, for example, the intensity of the echo signals is higher than the preset intensity, and then the alarm information is sent.
In carrying out the present disclosure, the inventors found that at least the following problems exist:
the intensity of echo signal is relevant with the nature of barrier, for example, the echo signal of the car that drives is stronger, and the echo signal on pedestrian and ground is all weaker, and is more close, like this, if predetermine intensity higher, then this collision early warning system can not be pedestrian to the place ahead and send alarm information, if predetermine intensity lower, then this collision early warning system also can send alarm information to the ground in the place ahead, makes this collision early warning system often send alarm information. Therefore, the accuracy of the early warning sent by the collision early warning system is poor.
Disclosure of Invention
In order to overcome the problems in the related art, the present disclosure provides a collision warning system mounted on an automobile and an automobile. The technical scheme is as follows:
according to a first aspect of the embodiments of the present disclosure, there is provided a collision warning system installed on an automobile, the collision warning system including a camera and a processor, wherein:
the processor is electrically connected with the camera;
the camera is used for acquiring an obstacle image and sending the acquired obstacle image to the processor;
the processor is used for determining the expected collision time length by utilizing a dynamic image processing algorithm based on multi-frame obstacle images, and if the expected collision time length is less than or equal to a preset value, an alarm instruction is sent to an alarm component electrically connected with the processor so that the alarm component sends an alarm signal.
Optionally, the processor is further configured to:
and identifying the type of the obstacle in the obstacle image, and if the type of the obstacle in the obstacle image is a preset target obstacle type and the predicted collision duration is less than or equal to a preset numerical value, sending an alarm instruction to the alarm component.
Optionally, the processor is further configured to:
and obtaining the current speed of the vehicle, and if the current speed is greater than a first preset speed, determining the expected collision duration by using an image processing algorithm based on the multi-frame obstacle images.
Optionally, the processor is configured to determine a predicted collision time based on a plurality of frames of obstacle images by using an optical flow method, and send an alarm instruction to the alarm component if the predicted collision time is less than or equal to a preset value.
According to an embodiment of the present disclosure, there is provided an automobile including the collision warning system described above, wherein:
the collision early warning system is arranged on an inner rear-view mirror base of the automobile, and a camera of the collision early warning system faces the front of the automobile;
the collision early warning system is electrically connected with an ignition controller of the automobile;
and the ignition controller is used for starting the collision early warning system.
Optionally, a processor of the collision early warning system is electrically connected with a vehicle control unit of the vehicle;
the vehicle control unit is used for sending the current vehicle speed to the processing unit;
and the processor is used for determining the expected collision duration by utilizing a dynamic image processing algorithm based on the multi-frame obstacle images if the current vehicle speed is greater than a first preset speed.
Optionally, the alarm component is an in-vehicle speaker of the automobile;
the processor is electrically connected with the in-vehicle loudspeaker;
the processor is used for sending a first alarm instruction to the in-vehicle loudspeaker when the expected collision duration is less than or equal to a preset value;
and the loudspeaker in the vehicle is used for sending out a first alarm signal based on the first alarm instruction.
Optionally, the processor is electrically connected to an instrument panel of the automobile;
the processor is used for sending a second alarm instruction to the instrument panel when the expected collision duration is less than or equal to a preset numerical value;
and the instrument panel is used for displaying a second alarm signal based on the second alarm instruction.
Optionally, the processor is electrically connected to a steering wheel of the automobile;
the processor is used for sending a vibration instruction to the steering wheel when the expected collision duration is less than or equal to a preset numerical value;
the steering wheel is used for generating vibration based on the vibration instruction.
The technical scheme provided by the embodiment of the disclosure can have the following beneficial effects:
in an embodiment of the present disclosure, the collision warning system includes a camera and a processor, wherein: the processor is electrically connected with the camera; the camera is used for acquiring an obstacle image and sending the acquired obstacle image to the processor; the processor is used for determining the expected collision time length based on the obstacle images of the multiple frames, and if the expected collision time length is less than or equal to a preset value, an alarm instruction is sent to an alarm component electrically connected with the processor, so that the alarm component sends out an alarm signal. The collision early warning system based on the camera can accurately collect the obstacles in front of the vehicle, so that the early warning sent by the collision early warning system has better accuracy.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the disclosure.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present disclosure and together with the description, serve to explain the principles of the disclosure. In the drawings:
fig. 1 is a schematic structural diagram of a collision warning system according to an embodiment;
fig. 2 is a schematic structural diagram of a collision warning system according to an embodiment;
fig. 3 is a schematic structural diagram of a collision warning system according to an embodiment;
fig. 4 is a schematic structural diagram of a collision warning system according to an embodiment;
FIG. 5 is a schematic diagram illustrating the structure of an alarm signal according to an embodiment;
fig. 6 is a flowchart illustrating an application of a collision warning system according to an embodiment.
Description of the figures
1. Camera 2 and processor
3. Alarm component 4, vehicle control unit
5. Ignition controller
With the foregoing drawings in mind, certain embodiments of the disclosure have been shown and described in more detail below. These drawings and written description are not intended to limit the scope of the disclosed concepts in any way, but rather to illustrate the concepts of the disclosure to those skilled in the art by reference to specific embodiments.
Detailed Description
Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, like numbers in different drawings represent the same or similar elements unless otherwise indicated. The implementations described in the exemplary embodiments below are not intended to represent all implementations consistent with the present disclosure. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the present disclosure, as detailed in the appended claims.
The embodiment of the disclosure provides a collision early warning system installed on an automobile, wherein the collision early warning system is also called a front collision early warning system, and is an alarm system for reminding when detecting that the automobile and a front automobile are in potential collision danger so as to prevent or reduce traffic accidents.
As shown in fig. 1, the collision warning system includes a camera 1 and a processor 2, wherein: the processor 2 is electrically connected with the camera 1; the camera 1 is used for acquiring an obstacle image and sending the acquired obstacle image to the processor 2; the processor 2 is used for determining the expected collision time length based on the obstacle images of the multiple frames, and if the expected collision time length is less than or equal to a preset value, an alarm instruction is sent to the alarm component 3 electrically connected with the processor 2, so that the alarm component 3 sends an alarm signal.
The alarm component 3 may belong to a collision warning system, for example, a speaker may be disposed in the collision warning system, and the alarm component 3 may also be a component of the automobile itself, for example, a speaker in the automobile, or an instrument panel of the automobile.
In practice, the collision warning system is usually mounted on the base of the interior rear view mirror of a car, with the camera 1 facing in the direction of the advance of the car. As shown in fig. 2, the processor 2 is further electrically connected to an alarm component 3, and the alarm component 3 is used for sending an alarm signal to remind a driver. The camera 1 can collect images of obstacles in front of the automobile and send the collected images of the obstacles to the processor 2, and the processor 2 determines the expected collision duration by using an image processing algorithm, such as an optical flow method, based on the images of the obstacles in a plurality of continuous frames. The predicted collision duration is the duration of the collision between the vehicle and the obstacle in the future duration. If the predicted time length of the collision is less than the preset value, the processor 2 can send an alarm instruction to the alarm component 3, and the alarm component 3 sends an alarm signal based on the alarm instruction. The warning signal may be generated by sound, visual, tactile, or the like, so as to attract the attention of the driver. The collision early warning system based on the camera can accurately acquire the scene in front of the vehicle, so that the early warning accuracy sent by the collision early warning system is better.
In addition, the collision early warning system based on the camera can monitor the obstacles in front of the automobile all weather, is less influenced by weather compared with the collision early warning system based on the microwave radar, and can still accurately send out alarm signals in rainy and snowy weather.
Based on the characteristics of the camera and a plurality of test results, the distance that can be effectively detected by the collision early warning system is 150 meters, the effective alarm distance can reach more than 100 meters, the time delay of sending an alarm signal by the collision early warning system based on the camera is short, the practicability is good, and all-weather monitoring can be met.
Optionally, the collision warning system may further identify the type of the obstacle, and specifically, the processor 2 stores a large number of obstacle types, such as cars, pedestrians, animals, mountainous regions, and the like. The processor 2 identifies the obstacle while calculating the expected collision time of the vehicle and the obstacle, and if the obstacle type in the obstacle image is a preset target obstacle type and the calculated expected collision time is less than or equal to a preset numerical value, the processor 2 sends an alarm instruction to the alarm part 3.
Therefore, the collision early warning system can determine the predicted collision time between the vehicle and the obstacle based on the obstacle images of continuous multiple frames, can identify the type of the obstacle, and sends out the warning signal based on the predicted collision time and the type of the obstacle, thereby improving the accuracy of the collision early warning system in sending out the warning signal.
Optionally, when the vehicle speed of the vehicle is relatively low and there is an obstacle in the front, the driver may quickly brake, so that when the vehicle speed is relatively low, the collision warning system may not send an alarm signal, and the corresponding processing may be, as shown in fig. 3, where the processor 2 is further electrically connected to the vehicle control unit 4 of the vehicle, so that the vehicle control unit 4 of the vehicle may send the vehicle speed to the processor 2, and when the processor 2 detects that the current vehicle speed is greater than the first preset speed, the processor 2 may calculate the predicted collision duration based on the image of the obstacle in consecutive frames, using an image processing algorithm, such as an optical flow method. Then the processor 2 determines whether to send out alarm information based on the calculated relation between the predicted collision duration and the preset value. Therefore, the collision early warning system also sends out an alarm signal based on the current train degree of the automobile, so that the collision early warning system has better practicability.
Based on the above, when the processor 2 detects that the current vehicle speed is greater than the first preset speed, the predicted collision duration between the vehicle and the obstacle is calculated for the received obstacle image by using a dynamic image processing algorithm. And when the processor 2 detects that the current vehicle speed is reduced from the speed greater than the first preset speed to the second preset speed, the received obstacle image is not processed. The speed interval between the second preset speed and the first preset speed is a buffer interval to prevent the processor 2 from processing the obstacle image and stopping the processing when the vehicle speed fluctuates in the upper and lower ranges of the first preset speed.
Optionally, the collision early warning system further includes a power key, the power key may be disposed on a main circuit of the battery of the vehicle and the collision early warning system, and when the power key is in an on state, the battery supplies power to the collision early warning system to start the collision early warning system. In the default situation, the power key is in the on state, that is, the collision warning system is automatically started every time the automobile is powered on. Of course, the user can also manually turn off the collision warning system through the power key.
In an embodiment of the present disclosure, the collision warning system includes a camera and a processor, wherein: the processor is electrically connected with the camera; the camera is used for acquiring an obstacle image and sending the acquired obstacle image to the processor; the processor is used for determining the expected collision time length based on the obstacle images of the multiple frames, and if the expected collision time length is less than or equal to a preset value, an alarm instruction is sent to an alarm component electrically connected with the processor, so that the alarm component sends out an alarm signal. The collision early warning system based on the camera can accurately acquire the scene in front of the vehicle, so that the early warning accuracy sent by the collision early warning system is better.
The present disclosure also provides an automobile, which includes the above collision early warning system, wherein: the collision early warning system is arranged on an inner rearview mirror base of the automobile, and a camera 1 of the collision early warning system faces the front of the automobile; the collision early warning system is electrically connected with an ignition controller 5 of the automobile; and the ignition controller 5 is used for starting the collision early warning system.
In implementation, as shown in fig. 4, the processor 2 in the collision warning system is further electrically connected to an ignition controller 5 of the vehicle, and when the ignition controller is turned on by a driver, the vehicle is powered on, the collision warning system is started, and the ignition controller 5 is used for starting the collision warning system. Thus, after the ignition controller 5 is started by the driver, the collision early warning system is automatically started, the camera 1 can acquire an image of an obstacle in front of the automobile and send the image of the obstacle to the processor 2, and the processor 2 determines the predicted collision duration between the obstacle and the automobile by using a dynamic image processing algorithm based on the images of the obstacle of a plurality of continuous frames. If the predicted collision duration is less than or equal to the preset value, the processor 2 sends an alarm instruction to the alarm component 3 electrically connected with the processor, and the alarm component 3 sends an alarm signal after receiving the alarm instruction so as to remind a driver.
The collision early warning system based on the camera can improve the accuracy of collision early warning.
Optionally, the collision early warning system may send a collision early warning based on the current vehicle speed, and correspondingly, the processor 2 of the collision early warning system may be electrically connected to the vehicle controller 4 of the vehicle; the vehicle control unit is used for sending the current vehicle speed to the processor 2; and the processor 2 is used for determining the expected collision time length by utilizing a dynamic image processing algorithm based on the obstacle images of the multiple frames if the current vehicle speed is greater than the first preset speed.
Optionally, the alarm signal sent by the alarm component 3 may be a sound with a preset frequency, and correspondingly, the alarm component is an in-vehicle speaker of the automobile; the processor 2 is electrically connected with the loudspeaker in the vehicle; the processor 2 is used for sending a first alarm instruction to an in-vehicle loudspeaker; the loudspeaker in the vehicle is used for sending out a first alarm signal based on the first alarm instruction. Wherein the first alarm signal may be a sound of a preset frequency. In this way, when the processor 2 determines that the expected collision duration between the vehicle and the obstacle in front of the vehicle is less than or equal to the preset value, the processor sends a first alarm instruction to the in-vehicle speaker. And after receiving the first alarm instruction, the loudspeaker in the vehicle sends out a first alarm signal.
Optionally, the alarm signal sent by the alarm component 3 may be preset image information, and correspondingly, the processor is electrically connected with an instrument panel of the automobile; the processor is used for sending a second alarm instruction to the instrument panel when the expected collision duration is less than or equal to a preset value; and the instrument panel is used for displaying a second alarm signal based on the second alarm instruction.
Wherein, the second alarm signal may be preset picture information as shown in fig. 5.
In an implementation, after the processor determines that the predicted time duration of the collision between the host vehicle and the obstacle in front of the host vehicle is less than or equal to the preset value, a second warning instruction is sent to an instrument panel of the host vehicle, and after the instrument panel receives the second warning instruction, preset picture information as shown in fig. 5 may be displayed on the instrument panel based on the second warning instruction.
Optionally, the alarm signal sent by the alarm component 3 can be sent in a tactile manner, and correspondingly, the processor 2 is electrically connected with a steering wheel of the automobile; the processor 2 is used for sending a vibration instruction to the steering wheel when the expected collision duration is less than or equal to a preset value; and a steering wheel for generating vibration based on the vibration instruction.
In practice, a vibrator is typically provided in the steering wheel, and the processor 2 may be electrically connected to the vibrator in the steering wheel. When the processor 2 determines that the expected collision duration between the vehicle and the obstacle in front of the vehicle is less than or equal to a preset value, a vibration instruction is sent to the vibrator, and after the vibrator receives the vibration instruction, a vibration signal is generated to remind a driver.
Based on the above, in practical application, the application scenario of the collision warning system may be performed according to the flow shown in fig. 6:
after a driver starts an ignition controller of an automobile, the collision early warning system is automatically started, and the self-checking is carried out in the step 1, for example, the processor 2 detects the camera 1 and mainly detects whether the camera 1 has a fault, if the camera 1 has the fault, the step 2 of fault warning is carried out, the processor 2 sends a fault instruction to an instrument panel, and after the instrument panel receives the fault instruction, the fault information of the camera 1 can be displayed on the instrument panel, for example, a yellow camera icon is displayed on the instrument panel. If the camera has no fault, the camera enters a standby state in step 3, the collision early warning system is in a standby state, and in this state, the camera 1 can still continue to acquire the obstacle image, but the processor 2 does not process the received obstacle image, that is, the processor does not calculate the predicted collision duration. At this time, the driver may also manually turn off the collision warning system.
After a driver starts an engine, a vehicle controller 4 of an automobile periodically sends a vehicle speed to a processor 2, when the processor 2 detects that the current vehicle speed is greater than a first preset speed, the step 4 is carried out, the processor 2 analyzes a received obstacle image, at this time, the collision early warning system is in an activated state, and in this state, if the processor 2 detects that a certain part in the collision early warning system breaks down, the step 2 also carries out fault warning. When the processor 2 receives the image of the obstacle sent by the camera 1, the predicted collision time of the vehicle and the obstacle is calculated by using an optical flow method, if the predicted collision time is smaller than a preset value, the step 5 is carried out, the processor 2 can send a first alarm instruction representing sound with preset frequency to the in-vehicle loudspeaker, and the in-vehicle loudspeaker sends the sound with the preset frequency after receiving the first alarm instruction sent by the processor 2. In addition, the processor 2 may send a second alarm instruction to the dashboard while sending the first alarm instruction to the in-vehicle speaker, and after receiving the second alarm instruction, the dashboard may display an icon as shown in fig. 3 on the dashboard to prompt the driver. Further, the processor 2 may also send a vibration instruction to a vibrator in the steering wheel, and the vibrator vibrates to alert the driver after receiving the vibration instruction.
When the driver decelerates the automobile, the processor 2 detects that the speed of the automobile is reduced from the first preset speed to the second preset speed, then the step 3 is performed, and the processor 2 may not process the received obstacle image, that is, not calculate the predicted collision duration. At this time, the collision warning system is in a standby state.
In an embodiment of the present disclosure, the collision warning system includes a camera and a processor, wherein: the processor is electrically connected with the camera; the camera is used for acquiring an obstacle image and sending the acquired obstacle image to the processor; the processor is used for determining the expected collision time length based on the obstacle images of the multiple frames, and if the expected collision time length is less than or equal to a preset value, an alarm instruction is sent to an alarm component electrically connected with the processor, so that the alarm component sends out an alarm signal. The collision early warning system based on the camera can accurately acquire the scene in front of the vehicle, so that the early warning accuracy sent by the collision early warning system is better.
Other embodiments of the disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the disclosure disclosed herein. This application is intended to cover any variations, uses, or adaptations of the disclosure following, in general, the principles of the disclosure and including such departures from the present disclosure as come within known or customary practice within the art to which the disclosure pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the disclosure being indicated by the following claims.
It will be understood that the present disclosure is not limited to the precise arrangements described above and shown in the drawings and that various modifications and changes may be made without departing from the scope thereof. The scope of the present disclosure is limited only by the appended claims.
Claims (8)
1. The utility model provides an install collision early warning system on car which characterized in that, collision early warning system includes camera and treater, wherein:
the processor is electrically connected with the camera;
the camera is used for acquiring an obstacle image and sending the acquired obstacle image to the processor;
the processor is used for determining the predicted collision time length by utilizing a dynamic image processing algorithm based on multi-frame obstacle images, and if the predicted collision time length is less than or equal to a preset value, sending an alarm instruction to an alarm component electrically connected with the processor so as to enable the alarm component to send an alarm signal;
the processor is further used for obtaining the current speed of the vehicle, and if the current speed is greater than a first preset speed, determining the predicted collision duration by using an image processing algorithm based on the multi-frame obstacle images; if the current vehicle speed is lower than the first preset speed, the received multi-frame-based obstacle images are not processed, wherein if the current vehicle speed is reduced to a second preset speed from a speed higher than the first preset speed, the received multi-frame-based obstacle images are not processed, and when the current vehicle speed is reduced to the second preset speed from a speed higher than the first preset speed, the received multi-frame-based obstacle images are processed.
2. The method of claim 1, wherein the processor is further configured to:
and identifying the type of the obstacle in the obstacle image, and if the type of the obstacle in the obstacle image is a preset target obstacle type and the predicted collision duration is less than or equal to a preset numerical value, sending an alarm instruction to the alarm component.
3. The method according to any one of claims 1 or 2, wherein the processor is configured to determine a predicted collision time based on a plurality of frames of obstacle images by an optical flow method, and to send an alarm instruction to the alarm unit if the predicted collision time is less than or equal to a preset value.
4. A vehicle comprising the collision warning system according to any one of claims 1 to 3, wherein:
the collision early warning system is arranged on an inner rear-view mirror base of the automobile, and a camera of the collision early warning system faces the front of the automobile;
the collision early warning system is electrically connected with an ignition controller of the automobile;
and the ignition controller is used for starting the collision early warning system.
5. The automobile according to claim 4, wherein the processor of the collision warning system is electrically connected with a vehicle control unit of the automobile;
the vehicle control unit is used for sending the current vehicle speed to the processing unit;
and the processor is used for determining the expected collision duration by utilizing a dynamic image processing algorithm based on the multi-frame obstacle images if the current vehicle speed is greater than a first preset speed.
6. The automobile of claim 4, wherein the alarm component is an in-vehicle speaker of the automobile;
the processor is electrically connected with the in-vehicle loudspeaker;
the processor is used for sending a first alarm instruction to the in-vehicle loudspeaker when the expected collision duration is less than or equal to a preset value;
and the loudspeaker in the vehicle is used for sending out a first alarm signal based on the first alarm instruction.
7. The vehicle of claim 4, wherein the processor is electrically connected to a dashboard of the vehicle;
the processor is used for sending a second alarm instruction to the instrument panel when the expected collision duration is less than or equal to a preset numerical value;
and the instrument panel is used for displaying a second alarm signal based on the second alarm instruction.
8. The vehicle of claim 4, wherein the processor is electrically connected to a steering wheel of the vehicle;
the processor is used for sending a vibration instruction to the steering wheel when the expected collision duration is less than or equal to a preset numerical value;
the steering wheel is used for generating vibration based on the vibration instruction.
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| Application Number | Priority Date | Filing Date | Title |
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| CN201711400335.2A CN108099906B (en) | 2017-12-21 | 2017-12-21 | Collision early warning system installed on automobile and automobile |
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| CN201711400335.2A CN108099906B (en) | 2017-12-21 | 2017-12-21 | Collision early warning system installed on automobile and automobile |
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| CN108099906B true CN108099906B (en) | 2020-01-10 |
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| CN109835251B (en) * | 2019-03-13 | 2022-09-13 | 重庆睿驰智能科技有限公司 | Vehicle forward collision early warning system |
| CN110276988A (en) * | 2019-06-26 | 2019-09-24 | 重庆邮电大学 | A kind of DAS (Driver Assistant System) based on collision warning algorithm |
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