CN113034976B - Alarm method and device, computer readable storage medium and electronic equipment - Google Patents
Alarm method and device, computer readable storage medium and electronic equipment Download PDFInfo
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- CN113034976B CN113034976B CN202110307749.0A CN202110307749A CN113034976B CN 113034976 B CN113034976 B CN 113034976B CN 202110307749 A CN202110307749 A CN 202110307749A CN 113034976 B CN113034976 B CN 113034976B
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/16—Anti-collision systems
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/052—Detecting movement of traffic to be counted or controlled with provision for determining speed or overspeed
Abstract
The embodiment of the disclosure discloses an alarm method and device, a computer readable storage medium and an electronic device, wherein the method comprises the following steps: determining a first information acquisition time period based on a first alarm threshold of the vehicle; collecting driving behavior information of a driver in the first information collection time period; adjusting the first alarm threshold value based on the driving behavior information to obtain a second alarm threshold value; alerting the driver based on the second alert threshold; the alarm threshold value is adjusted according to the driving behavior of the driver in the time period needing information acquisition, so that the adjusted alarm threshold value is more suitable for the driver, more suitable alarm threshold values are provided for different drivers, and the driving safety is improved.
Description
Technical Field
The present disclosure relates to the field of driving assistance technologies, and in particular, to an alarm method and apparatus, a computer-readable storage medium, and an electronic device.
Background
Currently, monocular cameras have been widely used in the field of ADAS (Advanced Driving Assistance System) of L0-L2 levels, including ADAS functions for Forward visual perception, such as AEB (automatic Braking System), FCW (Forward Collision Warning System), ACC (Adaptive Cruise Control), LDW (Lane Departure Warning System), LKA (Lane keeping assist System), and the like, as well as DMS (vehicle management System) functions for in-vehicle driver monitoring. In the prior art, many solutions for determining the collision threshold value determine whether there is a collision risk based on a relative TTC threshold value (the relative distance between the host vehicle and the collision target divided by the relative speed) or a relative HW threshold value (the relative distance between the host vehicle and the collision target divided by the host vehicle speed) of the host vehicle and the target vehicle or the target pedestrian. When the TTC or HW reaches a set threshold value range, a sound or image alarm is triggered, or further emergency braking is realized.
Disclosure of Invention
The present disclosure is proposed to solve the above technical problems. The embodiment of the disclosure provides an alarm method and device, a computer-readable storage medium and an electronic device.
According to an aspect of an embodiment of the present disclosure, there is provided an alarm method including:
determining a first information acquisition time period based on a first alarm threshold of the vehicle;
collecting driving behavior information of a driver in the first information collection time period;
adjusting the first alarm threshold value based on the driving behavior information to obtain a second alarm threshold value;
and alarming the driver based on the second alarm threshold value.
According to another aspect of the embodiments of the present disclosure, there is provided an alarm device, including:
the acquisition time determining module is used for determining a first information acquisition time period based on a first alarm threshold value of the vehicle;
the information acquisition module is used for acquiring the driving behavior information of the driver in the first information acquisition time period determined by the acquisition time determination module;
the threshold adjusting module is used for adjusting the first alarm threshold based on the driving behavior information acquired by the information acquisition module to obtain a second alarm threshold;
and the alarm module is used for giving an alarm to the driver based on the second alarm threshold value obtained by the threshold value adjusting module.
According to still another aspect of the embodiments of the present disclosure, there is provided a computer-readable storage medium storing a computer program for executing the alarm method of the above-described embodiments.
According to still another aspect of the embodiments of the present disclosure, there is provided an electronic apparatus including:
a processor;
a memory for storing the processor-executable instructions;
the processor is configured to read the executable instruction from the memory and execute the instruction to implement the alarm method according to the above embodiment.
Based on the alarm method and device, the computer-readable storage medium and the electronic device provided by the above embodiments of the present disclosure, a first information acquisition time period is determined based on a first alarm threshold of a vehicle; collecting driving behavior information of a driver in the first information collection time period; adjusting the first alarm threshold value based on the driving behavior information to obtain a second alarm threshold value; alerting the driver based on the second alert threshold; the alarm threshold value is adjusted according to the driving behavior of the driver in the time period needing information acquisition, so that the adjusted alarm threshold value is more suitable for the driver, more suitable alarm threshold values are provided for different drivers, and the driving safety is improved.
The technical solution of the present disclosure is further described in detail by the accompanying drawings and examples.
Drawings
The above and other objects, features and advantages of the present disclosure will become more apparent by describing in more detail embodiments of the present disclosure with reference to the attached drawings. The accompanying drawings are included to provide a further understanding of the embodiments of the disclosure and are incorporated in and constitute a part of this specification, illustrate embodiments of the disclosure and together with the description serve to explain the principles of the disclosure and not to limit the disclosure. In the drawings, like reference numbers generally represent like parts or steps.
Fig. 1 is a schematic system diagram of an alarm system provided by an exemplary embodiment of the present disclosure.
Fig. 2 is a schematic flow chart of an alarm method according to an exemplary embodiment of the present disclosure.
Fig. 3 is a schematic flow chart of step 201 in the embodiment shown in fig. 2 of the present disclosure.
Fig. 4 is a schematic flow chart of step 203 in the embodiment shown in fig. 2 of the present disclosure.
Fig. 5 is another schematic flow chart of step 203 in the embodiment shown in fig. 2 of the present disclosure.
Fig. 6 is a flowchart illustrating an alarm method according to another exemplary embodiment of the present disclosure.
Fig. 7 is a schematic flow chart of step 203 in the embodiment shown in fig. 2 of the present disclosure.
Fig. 8 is a schematic structural diagram of an alarm device according to an exemplary embodiment of the present disclosure.
Fig. 9 is a schematic structural diagram of an alarm device according to another exemplary embodiment of the present disclosure.
Fig. 10 is a block diagram of an electronic device provided in an exemplary embodiment of the present disclosure.
Detailed Description
Hereinafter, example embodiments according to the present disclosure will be described in detail with reference to the accompanying drawings. It is to be understood that the described embodiments are merely a subset of the embodiments of the present disclosure and not all embodiments of the present disclosure, with the understanding that the present disclosure is not limited to the example embodiments described herein.
It should be noted that: the relative arrangement of the components and steps, the numerical expressions, and numerical values set forth in these embodiments do not limit the scope of the present disclosure unless specifically stated otherwise.
It will be understood by those of skill in the art that the terms "first," "second," and the like in the embodiments of the present disclosure are used merely to distinguish one element from another, and are not intended to imply any particular technical meaning, nor is the necessary logical order between them.
It is also understood that in embodiments of the present disclosure, "a plurality" may refer to two or more and "at least one" may refer to one, two or more.
It is also to be understood that any reference to any component, data, or structure in the embodiments of the disclosure, may be generally understood as one or more, unless explicitly defined otherwise or stated otherwise.
In addition, the term "and/or" in the present disclosure is only one kind of association relationship describing an associated object, and means that three kinds of relationships may exist, for example, a and/or B may mean: a exists alone, A and B exist simultaneously, and B exists alone. In addition, the character "/" in the present disclosure generally indicates that the former and latter associated objects are in an "or" relationship.
It should also be understood that the description of the various embodiments of the present disclosure emphasizes the differences between the various embodiments, and the same or similar parts may be referred to each other, so that the descriptions thereof are omitted for brevity.
Meanwhile, it should be understood that the sizes of the respective portions shown in the drawings are not drawn in an actual proportional relationship for the convenience of description.
The following description of at least one exemplary embodiment is merely illustrative in nature and is in no way intended to limit the disclosure, its application, or uses.
Techniques, methods, and apparatus known to those of ordinary skill in the relevant art may not be discussed in detail but are intended to be part of the specification where appropriate.
It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, further discussion thereof is not required in subsequent figures.
The disclosed embodiments may be applied to electronic devices such as terminal devices, computer systems, servers, etc., which are operational with numerous other general purpose or special purpose computing system environments or configurations. Examples of well known terminal devices, computing systems, environments, and/or configurations that may be suitable for use with electronic devices, such as terminal devices, computer systems, servers, and the like, include, but are not limited to: personal computer systems, server computer systems, thin clients, thick clients, hand-held or laptop devices, microprocessor-based systems, set top boxes, programmable consumer electronics, network pcs, minicomputer systems, mainframe computer systems, distributed cloud computing environments that include any of the above systems, and the like.
Electronic devices such as terminal devices, computer systems, servers, etc. may be described in the general context of computer system-executable instructions, such as program modules, being executed by a computer system. Generally, program modules may include routines, programs, objects, components, logic, data structures, etc. that perform particular tasks or implement particular abstract data types. The computer system/server may be practiced in distributed cloud computing environments where tasks are performed by remote processing devices that are linked through a communications network. In a distributed cloud computing environment, program modules may be located in both local and remote computer system storage media including memory storage devices.
Summary of the application
In the course of implementing the present disclosure, the inventors have found that the conventional warning scheme for assisting driving often determines whether there is a collision risk based on the relative TTC (relative distance between the host vehicle and the collision target divided by the relative speed) or HW (relative distance between the host vehicle and the collision target divided by the host vehicle speed) of the host vehicle and the target vehicle or the target pedestrian, but the conventional warning scheme has at least the following problems: the same vehicle is the same criterion for all drivers, and a fixed warning threshold cannot be matched with all drivers.
Exemplary System
Fig. 1 is a schematic system diagram of an alarm system provided by an exemplary embodiment of the present disclosure. As shown in fig. 1, the alarm system provided in this embodiment includes: an FCW feedback learning module 101, an FCW function module 102, a DMS module 103 and a whole vehicle module 104; when the alarm system is operated, the following steps can be executed:
A) for the vehicle of the warning system provided by the embodiment of the present disclosure, an FCW warning threshold (including collision time, etc., and different values or default values, e.g., 2 seconds, etc.) may be set according to different situations as an initial setting.
B) The entire vehicle module 104 senses the road condition according to the forward-looking camera, and simultaneously acquires the time when the driver brakes the driving behavior (for example: the time point of stepping on the brake) and the braking deceleration (the speed reduction in unit time, the braking deceleration can be determined by the quotient of the speed and the time collected in a period of time before and after the alarm is sent), and the braking behavior of the driver is recorded; simultaneously recording TTC or HW and accelerator pedal information (such as information of stepping on the accelerator) of a driver for a front obstacle vehicle or an emergency pedestrian target to obtain the accelerator information (such as information of the time point of stepping on the accelerator, the increment of speed in unit time and the like) of the driver; in addition, the front obstacle vehicle or urgent pedestrian target TTC or HW and the steering behavior of the driver (such as the behavior of turning the steering wheel) are recorded, processed and filtered, and then sent to the FCW feedback learning module 101, and the processing characteristics of the obstacle vehicle or urgent pedestrian target under the condition that the driver deals with the road are obtained and used as the analysis of the driving behavior.
C) The DMS module 103 records Face identification (Face ID) information of the current driver (for example: the human face can be collected through the camera in the vehicle, the human face identification is established), and the human face identification information is used as a retrieval label for driving behavior analysis. Meanwhile, aiming at attitude feedback of the driver after the FCW alarm occurs (attitude feedback can identify a facial label through a neural network and determine the attitude based on the facial expression result of the driver), marking the positive and negative characteristics of the alarm feedback expressed in the facial expression (for example, two expression classifications of positive expression and negative expression can be set in the neural network, and through training the neural network, the positive or negative classification result of the facial expression of the driver can be directly output through the neural network, or classifying at least one expression as positive, classifying at least one expression as negative, outputting the expression category of the driver through the neural network, and then determining the corresponding positive or negative based on the expression category), synchronizing the recorded information as the same alarm event as the alarm event and the identity information of the driver together, to the FCW feedback learning module 101.
D) The FCW feedback learning module 101 dynamically adjusts the warning threshold according to the driving style analysis of the driver identified by the same face at the vehicle end and the feedback of the warning event, and may also dynamically adjust the FCW warning policy, including the threshold settings of the warning TTC or HW in different speed intervals, and the driver take-over policy, for example, including accelerator pedal take-over, brake pedal take-over, steering take-over, etc.
E) The FCW function module 102 alerts the driver according to the adjusted alert threshold fed back by the FCW feedback learning module 101.
Exemplary method
Fig. 2 is a schematic flow chart of an alarm method according to an exemplary embodiment of the present disclosure. The present embodiment can be applied to a vehicle, as shown in fig. 2, and includes the following steps:
In an embodiment, the first alarm threshold may be a threshold set according to actual conditions, or a threshold adjusted at least once for the set threshold, and the first alarm threshold is used to define an alarm condition, such as an alarm time; the first information collection time period is a time period for collecting driving behavior information, and may be determined according to a collision time between the vehicle and the obstacle in front at the current time, where the time period includes two time points and all time between the two time points, and the information may be driving behavior information of the vehicle, or the like.
In one embodiment, the driving behavior information may specifically include: braking behavior (behavior of the driver stepping on the brake pedal), acceleration behavior (behavior of the driver stepping on the accelerator pedal), steering behavior (behavior of the driver turning the steering wheel), and the like.
And 203, adjusting the first alarm threshold value based on the driving behavior information to obtain a second alarm threshold value.
In an embodiment, the adjustment of the first warning threshold may include zooming in or zooming out, and optionally, since the adjustment of the first warning threshold is obtained based on the driving behavior information, the adjusted second warning threshold is more suitable for the current driver than the first warning threshold, so that the driving experience of the driver is improved.
And step 204, alarming the driver based on the second alarm threshold value.
In one embodiment, when the warning threshold is a warning time, the second warning threshold is an adjusted warning time, for example, 5 seconds, and when the collision time determined based on the distance between the current vehicle speed and the nearest obstacle in front is less than or equal to the second warning threshold, the driver is warned, and the specific manner of warning may include, but is not limited to, one or more of the following combinations: sound, vibration, smell, etc.; for example, an alarm voice is uttered to alert the driver.
In the alarm method provided by the above embodiment of the present disclosure, a first information acquisition time period is determined based on a first alarm threshold of a vehicle; collecting driving behavior information of a driver in the first information collection time period; adjusting the first alarm threshold value based on the driving behavior information to obtain a second alarm threshold value; alerting the driver based on the second alert threshold; the alarm threshold value is adjusted according to the driving behavior of the driver in the time period needing information acquisition, so that the adjusted alarm threshold value is more suitable for the driver, more suitable alarm threshold values are provided for different drivers, and the driving safety is improved.
As shown in fig. 3, based on the embodiment shown in fig. 2, step 201 may include the following steps:
Optionally, the first alarm threshold comprises at least a first time-to-collision, which can be calculated by the following equation (1):
where t represents a first collision time, L represents a distance between the vehicle and a preceding vehicle obstacle, and v represents a relative vehicle speed of the vehicle with respect to the preceding vehicle collision at present, which may be determined based on a difference between the current vehicle speed of the vehicle and a speed of the preceding vehicle collision, the relative vehicle speed being obtained by subtracting the speed of the preceding vehicle collision from the vehicle speed of the vehicle.
Optionally, the alarm time point is the current time point plus the first collision time, for example, the current time point is 10 points 05 minutes 05 seconds, the first collision time is 30 seconds, and at this time, the alarm time point is 10 points 05 minutes 35 seconds; the first duration and the second duration may be the same or different, the specific duration may be determined according to a specific setting, and the time period is the sum of the first duration and the second duration, for example: in an alternative example, the time period is 9 seconds when the first time period is set to 5 seconds and the second time period is set to 4 seconds, the beginning and the end of the time period being determined according to the alarm time point, the beginning of the time period being before the first time period of the alarm time point and the end of the time period being after the second time period of the alarm time point, for example, the alarm time point is 10 points 05 minutes 35 seconds, when the beginning of the time period is 10 points 05 minutes 30 seconds and the end of the time period is 10 points 05 minutes 39 seconds.
Alternatively, the first information collection period is equal to the period, or the period is appropriately operated (for example, the set value is increased, decreased, or the set multiple is enlarged, reduced, or the like) to obtain the first information collection period.
According to the embodiment, the driving behavior information is collected in a period of time before and after the alarm is given, so that the waste of computing resources and storage space caused by long-time collection of the driving behavior information is avoided, meanwhile, the first information collection time period for collecting the driving information has pertinence, useless redundant data is reduced, the accuracy of the second alarm threshold value adjusted based on the obtained driving behavior information is higher, and the second alarm threshold value is more suitable for the driver.
As shown in fig. 4, based on the embodiment shown in fig. 2, in an alternative example, step 203 may include the following steps:
Optionally, the driving behavior information of the driver is collected once every first information collection time period, that is, once, and the number of times is added by one every time the driving behavior information is collected once, so as to obtain the number of times.
In this embodiment, when the number of times reaches (is greater than or equal to) the preset number of times, since the first information acquisition time period is a time period before and after the alarm is given, it is described that the number of times that the alarm has occurred based on the first alarm threshold reaches the preset number of times, at this time, the first alarm threshold is adjusted based on the acquired driving behavior information, so that the obtained second alarm threshold more conforms to the driving habit of the driver. Alternatively, on the basis of the second warning threshold, as long as the vehicle continues to run, the second warning threshold may be used as the first warning threshold, and the above step 201 and step 204 are repeatedly performed, and the warning threshold is continuously adjusted until the condition for stopping adjustment is reached, where the condition for stopping adjustment may include, but is not limited to: the driver manually stops the adjustment, the vehicle stops running, and the like.
As shown in fig. 5, based on the embodiment shown in fig. 2, in another alternative example, step 203 may include the following steps:
And determining the time interval according to the time difference between the current time and the last time for adjusting the first alarm threshold value.
In this embodiment, when the time interval reaches the preset time (the specific value can be set according to the actual situation), it is indicated that the alarm threshold is not readjusted within the time less than the preset time, and if the alarm threshold is not adjusted for a long time, the problem that the alarm threshold cannot adapt to the current situation occurs.
In addition to the above examples shown in fig. 4 and fig. 5, step 203 may further include all the steps of the above two embodiments, that is, in yet another alternative example, step 203 may include step 201 and 204, in this example, the condition for limiting the adjustment of the first warning threshold integrates the number of times of collecting the driving behavior information and the adjustment time interval, that is, when the above two conditions are satisfied simultaneously, the first warning threshold is adjusted.
Fig. 6 is a flowchart illustrating an alarm method according to another exemplary embodiment of the present disclosure. As shown in fig. 6, the method comprises the following steps:
And step 604, alarming the driver based on the second alarming threshold value.
In this embodiment, the driver take-over strategy may include, but is not limited to: an accelerator pedal adapter, a brake pedal adapter, a steering adapter and the like; determining whether the behavior is a take-over behavior or not according to different amplitudes corresponding to different drivers; optionally, step 605 may include any one or more of:
determining the amplitude of stepping on the brake pedal corresponding to the braking action of the driver based on the braking action and the braking moment in the driving action information, and adjusting the braking takeover strategy of the driver according to the amplitude of stepping on the brake pedal;
determining the amplitude of stepping on an accelerator pedal corresponding to the acceleration behavior of the driver based on the acceleration behavior and the acceleration time of the acceleration behavior in the driving behavior information, and adjusting the acceleration taking-over strategy of the driver according to the amplitude of stepping on the accelerator pedal;
and determining the angle of a steering wheel corresponding to the steering behavior of the driver based on the steering behavior and the steering time in the driving behavior information, and adjusting the steering take-over strategy of the driver according to the angle of the steering wheel.
In this embodiment, because of different habits, different drivers may slightly vary the magnitude of stepping on the brake pedal during braking, so that in this embodiment, the magnitude of stepping on the brake pedal during artificial braking of the driver can be determined by the magnitude of stepping on the brake pedal during execution of braking action of the driver currently driving the vehicle, and the vehicle can provide a suitable braking take-over strategy for the driver by adjusting the magnitude of stepping on the brake pedal in the braking take-over strategy; similarly, the magnitude of stepping on the accelerator pedal by different drivers during acceleration is slightly different, so that in the embodiment, by the magnitude of stepping on the accelerator pedal during the acceleration action performed by the driver currently driving the vehicle, the magnitude of stepping on the accelerator pedal by the driver during artificial acceleration of the vehicle can be determined, and by adjusting the magnitude of stepping on the accelerator pedal in the acceleration takeover strategy, the vehicle can provide a suitable acceleration takeover strategy for the driver; similarly, the angles of turning the steering wheel by different drivers during steering may be slightly different, and therefore, the present embodiment may determine the angle of turning the steering wheel during artificial steering of the vehicle by the driver performing the steering action on the driver currently driving the vehicle, and may enable the vehicle to provide an appropriate steering take-over strategy for the driver by adjusting the angle of turning the steering wheel in the steering take-over strategy; by adjusting at least one of the taking-over strategies of the driver, more personalized taking-over of the driver can be realized, personal habits of different drivers are better met, and the use experience of the driver is improved.
Optionally, before step 203 or step 603 of the above embodiment, the following steps may also be performed: and filtering the driving behavior information.
In this embodiment, before the first alarm threshold is adjusted by the driving behavior information, the driving behavior information is optionally processed and filtered and then sent to the FCW feedback learning module, and the first alarm threshold is adjusted by the driving behavior information after the filtering process, which may include operations such as deleting information with a large difference, and the like.
As shown in fig. 7, based on the embodiment shown in fig. 2, in an alternative example, step 203 may include the following steps:
Optionally, the driver's identity may be a face identifier, and the face identifier may be obtained by collecting a face of the driver through an in-vehicle camera device, and the face identifier is used as a retrieval tag for driving behavior analysis.
In the embodiment, the driving behavior information corresponding to the face identification is used as the driving behavior information of the same driver; optionally, facial expression recognition can be performed on a facial image acquired by the camera device, it is determined that the identifier of the driver belongs to a positive expression or a negative expression, and a first alarm threshold corresponding to the moment when the driver makes the expression is adjusted according to an expression recognition result; the first alarm threshold value is adjusted by combining the expression of the driver, the driving experience of the driver is fully considered, when the negative expression occurs to the driver, the current alarm threshold value is not in line with the expectation of the driver, the alarm threshold value needs to be adjusted, when the positive expression occurs to the driver, the current alarm threshold value is more in line with the expectation of the driver, the adjustment or fine adjustment is not needed, the direction adjustment of the alarm threshold value is carried out by combining the expression recognition result of the driver in the continuous adjustment process of the alarm threshold value, the adjustment efficiency of the alarm threshold value can be improved, and the second alarm threshold value in line with the requirement of the driver can be obtained more quickly.
Any of the alert methods provided by the embodiments of the present disclosure may be performed by any suitable device having data processing capabilities, including but not limited to: terminal equipment, a server and the like. Alternatively, any of the alert methods provided by the embodiments of the present disclosure may be executed by a processor, such as the processor executing any of the alert methods mentioned by the embodiments of the present disclosure by calling corresponding instructions stored in a memory. And will not be described in detail below.
Exemplary devices
Fig. 8 is a schematic structural diagram of an alarm device according to an exemplary embodiment of the present disclosure. The apparatus provided in this embodiment, as shown in fig. 8, includes:
the acquisition time determination module 81 is configured to determine a first information acquisition time period based on a first alarm threshold of the vehicle.
And the information acquisition module 82 is used for acquiring the driving behavior information of the driver in the first information acquisition time period determined by the acquisition time determination module.
And the threshold adjusting module 83 is configured to adjust the first alarm threshold based on the driving behavior information acquired by the information acquisition module, so as to obtain a second alarm threshold.
And the alarm module 84 is configured to alarm the driver based on the second alarm threshold obtained by the threshold adjustment module.
According to the alarm device provided by the embodiment of the disclosure, a first information acquisition time period is determined based on a first alarm threshold value of a vehicle; collecting driving behavior information of a driver in the first information collection time period; adjusting the first alarm threshold value based on the driving behavior information to obtain a second alarm threshold value; alerting the driver based on the second alert threshold; the alarm threshold value is adjusted according to the driving behavior of the driver in the time period needing information acquisition, so that the adjusted alarm threshold value is more suitable for the driver, more suitable alarm threshold values are provided for different drivers, and the driving safety is improved.
Fig. 9 is a schematic structural diagram of an alarm device according to another exemplary embodiment of the present disclosure. The apparatus provided in this embodiment, as shown in fig. 9, includes:
the acquisition time determination module 81 includes:
a collision time determination unit 811 for determining a first collision time included in the first alarm threshold based on a current vehicle speed of the vehicle and a distance between the vehicle and a preceding vehicle obstacle;
a time period determination unit 812 for determining a time period from a first time period before an alarm time point at which an alarm is issued to a second time period after the alarm time point based on the first collision time;
a first acquisition time determination unit 813 configured to determine a first information acquisition time period based on the time period.
In this embodiment, optionally, the threshold adjusting module 83 is specifically configured to determine the number of times of collecting the driving behavior information of the driver; if the times of collecting the driving behavior information of the driver reach preset times, adjusting a first alarm threshold value based on at least one group of driving behavior information collected by the preset times to obtain a second alarm threshold value; and/or the presence of a gas in the gas,
determining the time interval between the current time and the last time of adjusting the first alarm threshold; and if the time interval reaches the preset time, adjusting the first alarm threshold value based on at least one group of driving behavior information collected in the time interval to obtain a second alarm threshold value.
The apparatus provided in this embodiment further includes:
and the strategy adjusting module 91 is used for adjusting the taking-over strategy of the driver based on the driving behavior information.
Optionally, the adjusting module 85 is specifically configured to determine, based on the braking behavior in the driving behavior information and the braking time thereof, a magnitude of stepping on the brake pedal corresponding to the braking behavior of the driver, so as to adjust the braking take-over policy of the driver by the magnitude of stepping on the brake pedal; and/or the presence of a gas in the gas,
determining the amplitude of stepping on an accelerator pedal corresponding to the acceleration behavior of the driver based on the acceleration behavior and the acceleration time of the acceleration behavior in the driving behavior information, and adjusting the acceleration taking-over strategy of the driver according to the amplitude of stepping on the accelerator pedal; and/or the presence of a gas in the gas,
and determining the angle of the steering wheel corresponding to the steering behavior of the driver based on the steering behavior and the steering moment thereof in the driving behavior information, and adjusting the steering take-over strategy of the driver according to the angle of the steering wheel.
The apparatus provided in this embodiment further includes:
and the filtering module 92 is used for filtering the driving behavior information.
Optionally, the threshold adjusting module 83 is further configured to determine an identity identifier corresponding to the driver based on the collected facial image of the driver; and adjusting the first alarm threshold corresponding to the driver by using a threshold adjusting strategy based on the identity and the driving behavior information corresponding to the driver to obtain a second alarm threshold corresponding to the driver.
Exemplary electronic device
Next, an electronic apparatus according to an embodiment of the present disclosure is described with reference to fig. 10. The electronic device may be either or both of the first device 100 and the second device 200, or a stand-alone device separate therefrom, which stand-alone device may communicate with the first device and the second device to receive the acquired input signals therefrom.
FIG. 10 illustrates a block diagram of an electronic device in accordance with an embodiment of the disclosure.
As shown in fig. 10, the electronic device 10 includes one or more processors 11 and memory 12.
The processor 11 may be a Central Processing Unit (CPU) or other form of processing unit having data processing capabilities and/or instruction execution capabilities, and may control other components in the electronic device 10 to perform desired functions.
In one example, the electronic device 10 may further include: an input device 13 and an output device 14, which are interconnected by a bus system and/or other form of connection mechanism (not shown).
For example, when the electronic device is the first device 100 or the second device 200, the input device 13 may be a microphone or a microphone array as described above for capturing an input signal of a sound source. When the electronic device is a stand-alone device, the input means 13 may be a communication network connector for receiving the acquired input signals from the first device 100 and the second device 200.
The input device 13 may also include, for example, a keyboard, a mouse, and the like.
The output device 14 may output various information including the determined distance information, direction information, and the like to the outside. The output devices 14 may include, for example, a display, speakers, a printer, and a communication network and its connected remote output devices, among others.
Of course, for simplicity, only some of the components of the electronic device 10 relevant to the present disclosure are shown in fig. 10, omitting components such as buses, input/output interfaces, and the like. In addition, the electronic device 10 may include any other suitable components depending on the particular application.
Exemplary computer program product and computer-readable storage Medium
In addition to the above-described methods and apparatus, embodiments of the present disclosure may also be a computer program product comprising computer program instructions that, when executed by a processor, cause the processor to perform the steps in the alert method according to various embodiments of the present disclosure described in the "exemplary methods" section above of this specification.
The computer program product may write program code for carrying out operations for embodiments of the present disclosure in any combination of one or more programming languages, including an object oriented programming language such as Java, C + + or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computing device, partly on the user's device, as a stand-alone software package, partly on the user's computing device and partly on a remote computing device, or entirely on the remote computing device or server.
Furthermore, embodiments of the present disclosure may also be a computer-readable storage medium having stored thereon computer program instructions that, when executed by a processor, cause the processor to perform steps in an alarm method according to various embodiments of the present disclosure described in the "exemplary methods" section above of this specification.
The computer-readable storage medium may take any combination of one or more readable media. The readable medium may be a readable signal medium or a readable storage medium. A readable storage medium may include, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or a combination of any of the foregoing. More specific examples (a non-exhaustive list) of the readable storage medium include: an electrical connection having one or more wires, a portable disk, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
The foregoing describes the general principles of the present disclosure in conjunction with specific embodiments, however, it is noted that the advantages, effects, etc. mentioned in the present disclosure are merely examples and are not limiting, and they should not be considered essential to the various embodiments of the present disclosure. Furthermore, the foregoing disclosure of specific details is for the purpose of illustration and description and is not intended to be limiting, since the disclosure is not intended to be limited to the specific details so described.
In the present specification, the embodiments are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same or similar parts in the embodiments are referred to each other. For the system embodiment, since it basically corresponds to the method embodiment, the description is relatively simple, and for the relevant points, reference may be made to the partial description of the method embodiment.
The block diagrams of devices, apparatuses, devices, systems involved in the present disclosure are only given as illustrative examples and are not intended to require or imply that the connections, arrangements, configurations must be made in the manner shown in the block diagrams. These devices, apparatuses, devices, systems may be connected, arranged, configured in any manner, as will be appreciated by those skilled in the art. Words such as "including," "comprising," "having," and the like are open-ended words that mean "including, but not limited to," and are used interchangeably therewith. The words "or" and "as used herein mean, and are used interchangeably with, the word" and/or, "unless the context clearly dictates otherwise. The word "such as" is used herein to mean, and is used interchangeably with, the phrase "such as but not limited to".
The methods and apparatus of the present disclosure may be implemented in a number of ways. For example, the methods and apparatus of the present disclosure may be implemented by software, hardware, firmware, or any combination of software, hardware, and firmware. The above-described order for the steps of the method is for illustration only, and the steps of the method of the present disclosure are not limited to the order specifically described above unless specifically stated otherwise. Further, in some embodiments, the present disclosure may also be embodied as programs recorded in a recording medium, the programs including machine-readable instructions for implementing the methods according to the present disclosure. Thus, the present disclosure also covers a recording medium storing a program for executing the method according to the present disclosure.
It is also noted that in the devices, apparatuses, and methods of the present disclosure, each component or step can be decomposed and/or recombined. These decompositions and/or recombinations are to be considered equivalents of the present disclosure.
The previous description of the disclosed aspects is provided to enable any person skilled in the art to make or use the present disclosure. Various modifications to these aspects will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other aspects without departing from the scope of the disclosure. Thus, the present disclosure is not intended to be limited to the aspects shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
The foregoing description has been presented for purposes of illustration and description. Furthermore, this description is not intended to limit embodiments of the disclosure to the form disclosed herein. While a number of example aspects and embodiments have been discussed above, those of skill in the art will recognize certain variations, modifications, alterations, additions and sub-combinations thereof.
Claims (10)
1. An alarm method comprising:
determining a first information acquisition time period based on a first alarm threshold of the vehicle; the first alarm threshold is an alarm threshold in a front collision early warning system;
collecting driving behavior information of a driver in the first information collection time period;
adjusting the first alarm threshold value based on the driving behavior information to obtain a second alarm threshold value; the method comprises the following steps: performing facial expression recognition on the collected facial image of the driver, determining that the expression of the driver belongs to positive expression or negative expression, and adjusting the first alarm threshold corresponding to the moment when the expression of the driver is made according to an expression recognition result to obtain a second alarm threshold; when the expression of the driver belongs to a negative expression, the first alarm threshold is not in accordance with the expectation of the driver, and the first alarm threshold is adjusted; when the expression of the driver belongs to positive expression, the first alarm threshold value is shown to be in accordance with the expectation of the driver, and the first alarm threshold value is not adjusted or is finely adjusted;
and alarming the driver based on the second alarm threshold value.
2. The method of claim 1, the determining a first information collection time period based on a first warning threshold of a vehicle, comprising:
determining a first collision time included in the first alarm threshold based on a current vehicle speed of the vehicle and a distance between the vehicle and a preceding vehicle obstacle;
determining a time period from a first time period before an alarm time point at which an alarm is issued to a second time period after the alarm time point based on the first collision time;
based on the time period, a first information collection time period is determined.
3. The method of claim 1, wherein the adjusting the first warning threshold based on the driving behavior information to obtain a second warning threshold comprises:
determining the times of collecting the driving behavior information of the driver;
if the number of times of acquiring the driving behavior information of the driver reaches a preset number, adjusting the first alarm threshold value based on at least one group of driving behavior information acquired by the preset number of times to obtain a second alarm threshold value; and/or the presence of a gas in the gas,
determining a time interval between the current time and the last time of adjusting the first alarm threshold;
and if the time interval reaches the preset time, adjusting the first alarm threshold value based on at least one group of driving behavior information collected in the time interval to obtain a second alarm threshold value.
4. The method of claim 1, further comprising:
and adjusting the driver taking over strategy based on the driving behavior information.
5. The method of claim 4, wherein the adjusting a driver takeover strategy based on the driving behavior information comprises:
determining the amplitude of stepping on a brake pedal corresponding to the braking behavior of the driver based on the braking behavior and the braking time of the braking behavior in the driving behavior information, and adjusting the braking taking-over strategy of the driver according to the amplitude of stepping on the brake pedal; and/or the presence of a gas in the gas,
determining the amplitude of stepping on an accelerator pedal corresponding to the acceleration behavior of the driver based on the acceleration behavior and the acceleration time thereof in the driving behavior information, and adjusting the acceleration taking-over strategy of the driver according to the amplitude of stepping on the accelerator pedal; and/or the presence of a gas in the gas,
and determining the angle of a steering wheel corresponding to the steering behavior of the driver based on the steering behavior and the steering time thereof in the driving behavior information, and adjusting the steering taking-over strategy of the driver according to the angle of the steering wheel.
6. The method of claim 1, further comprising, prior to adjusting the first warning threshold based on the driving behavior information to obtain a second warning threshold:
and filtering the driving behavior information.
7. The method of any of claims 1-6, wherein adjusting the first warning threshold based on the driving behavior information to obtain a second warning threshold comprises:
determining an identity identifier corresponding to the driver based on the acquired face image of the driver;
and adjusting the first alarm threshold corresponding to the driver by using a threshold adjustment strategy based on the identity corresponding to the driver and the driving behavior information to obtain a second alarm threshold corresponding to the driver.
8. An alarm device comprising:
the acquisition time determining module is used for determining a first information acquisition time period based on a first alarm threshold value of the vehicle; the first alarm threshold is an alarm threshold in a front collision early warning system;
the information acquisition module is used for acquiring the driving behavior information of the driver in the first information acquisition time period determined by the acquisition time determination module;
the threshold adjusting module is used for adjusting the first alarm threshold based on the driving behavior information acquired by the information acquisition module to obtain a second alarm threshold; the facial expression recognition system is specifically used for carrying out facial expression recognition on the collected facial image of the driver, determining that the expression of the driver belongs to a positive expression or a negative expression, and adjusting the first alarm threshold value corresponding to the moment when the expression of the driver is made according to an expression recognition result to obtain a second alarm threshold value; when the expression of the driver belongs to a negative expression, the first alarm threshold is not in accordance with the expectation of the driver, and the first alarm threshold is adjusted; when the expression of the driver belongs to positive expression, the first alarm threshold value is shown to be in accordance with the expectation of the driver, and the first alarm threshold value is not adjusted or is finely adjusted;
and the alarm module is used for giving an alarm to the driver based on the second alarm threshold value obtained by the threshold value adjusting module.
9. A computer-readable storage medium, which stores a computer program for executing the alarm method of any one of claims 1 to 7.
10. An electronic device, the electronic device comprising:
a processor;
a memory for storing the processor-executable instructions;
the processor is used for reading the executable instructions from the memory and executing the instructions to realize the alarm method of any one of the claims 1-7.
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