CN113487912B - Traffic accident early warning and protecting method, automobile and readable storage medium - Google Patents

Traffic accident early warning and protecting method, automobile and readable storage medium Download PDF

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Publication number
CN113487912B
CN113487912B CN202110688740.9A CN202110688740A CN113487912B CN 113487912 B CN113487912 B CN 113487912B CN 202110688740 A CN202110688740 A CN 202110688740A CN 113487912 B CN113487912 B CN 113487912B
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information
traffic
early warning
accident
protection
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CN113487912A (en
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廖尉华
林智桂
罗覃月
蒋祖坚
邓元
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SAIC GM Wuling Automobile Co Ltd
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SAIC GM Wuling Automobile Co Ltd
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    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G1/00Traffic control systems for road vehicles
    • G08G1/16Anti-collision systems
    • G08G1/166Anti-collision systems for active traffic, e.g. moving vehicles, pedestrians, bikes
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60QARRANGEMENT OF SIGNALLING OR LIGHTING DEVICES, THE MOUNTING OR SUPPORTING THEREOF OR CIRCUITS THEREFOR, FOR VEHICLES IN GENERAL
    • B60Q9/00Arrangement or adaptation of signal devices not provided for in one of main groups B60Q1/00 - B60Q7/00, e.g. haptic signalling
    • B60Q9/008Arrangement 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

Abstract

The invention discloses a traffic accident early warning and protecting method, an automobile and a readable storage medium, wherein the method comprises the following steps: acquiring road traffic participant information and road auxiliary object information around a current vehicle through an environment perception sensor; evaluating the traffic collision accident according to the road traffic participant information and the road auxiliary object information to obtain a corresponding evaluation report; evaluating the degree of harm caused by the traffic collision accident to the current vehicle according to the evaluation report; and acquiring a corresponding early warning reminding and protecting strategy according to the hazard degree, and alarming and/or protecting according to the early warning reminding and protecting strategy. According to the invention, the information of the traffic participants and the information of the auxiliary objects are acquired, and monitoring and evaluation are carried out before and after the occurrence of the traffic collision accident, so that the damage degree to the current vehicle is determined according to the evaluation result, and the current vehicle can carry out different levels of alarm and/or protection on drivers and passengers by utilizing corresponding early warning reminding and protection strategies.

Description

Traffic accident early warning and protecting method, automobile and readable storage medium
Technical Field
The invention relates to the field of automobile application, in particular to a traffic accident early warning and protecting method, an automobile and a readable storage medium.
Background
The safety performance of the automobile is mainly divided into two aspects, namely active safety on one hand and passive safety on the other hand; the active safety function is to detect the environmental conditions around the vehicle through an environment sensing sensor (such as a millimeter wave radar, a camera vision sensor, a panoramic 360 camera, an ultrasonic radar, a laser radar, an infrared sensor and the like) so as to perform early warning on potential traffic collision accidents around the automobile (such as early warning before the main vehicle collides through a front collision early warning system) and brake operation (such as braking through an automatic emergency braking system); the passive safety function is to protect the passengers in the automobile through safety belts, safety airbags, safety air curtains and other devices, so that the passengers in the automobile are protected from being injured from the outside when the automobile is in inevitable collision.
However, a considerable part of accidents are caused by the chain collision of a plurality of vehicles, and when the chain collision accidents occur, the conventional active safety function can only prompt a driver within a certain distance from a collision object and cannot prompt the driver as early as possible, so that the driver cannot perform evasive operation in a short time; therefore, in order to avoid the occurrence of a continuous traffic collision accident, it is necessary to prompt the user as early and accurate as possible.
Therefore, the prior art has yet to be improved.
Disclosure of Invention
The invention aims to solve the technical problem that the invention provides a traffic accident early warning and protecting method, an automobile and a readable storage medium to early and accurately early warn collision accidents.
The technical scheme adopted by the invention for solving the technical problem is as follows:
in a first aspect, the present invention provides a traffic accident early warning and protection method, which includes the following steps:
acquiring road traffic participant information and road auxiliary object information around a current vehicle through an environment perception sensor;
evaluating the traffic collision accident according to the road traffic participant information and the road auxiliary object information to obtain a corresponding evaluation report;
evaluating the degree of harm caused by the traffic collision accident to the current vehicle according to the evaluation report;
and acquiring a corresponding early warning reminding and protection strategy according to the hazard degree, and alarming and/or protecting according to the early warning reminding and protection strategy.
In one implementation, the acquiring, by the environment sensing sensor, the road traffic participant information and the road auxiliary object information around the current vehicle previously includes:
and acquiring the hazard degrees corresponding to a plurality of traffic collision accidents, and setting corresponding early warning reminding and protection strategies according to the hazard degrees.
In one implementation, the acquiring, by the environment sensing sensor, road traffic participant information and road auxiliary object information around the current vehicle includes:
acquiring target label information, type attribute information, contour information, position information, motion state information and motion orientation information of road traffic participants around the current vehicle through the environment perception sensor;
and acquiring target label information, type attribute information, position information and contour information of the road auxiliary object around the current vehicle through the environment perception sensor.
In one implementation, the evaluating the traffic collision accident according to the road traffic participant information and the road auxiliary object information to obtain a corresponding evaluation report includes:
analyzing the road traffic participant information and the road auxiliary object information to obtain probability information, time information, position information and motion information of a post-collision accident subject of the traffic collision accident;
and generating the evaluation report according to the probability information, the time information, the position information and the motion information of the accident subject after the collision.
In one implementation, the analyzing the road traffic participant information and the road auxiliary object information to obtain probability information, time information, position information, and motion information of a post-collision accident subject of the traffic collision accident includes:
acquiring a collision algorithm, and analyzing the road traffic participant information and the road auxiliary object information according to the collision algorithm;
estimating the occurrence time and the occurrence position of the potential traffic collision accident according to the analysis result, and estimating the occurrence probability of the potential traffic collision accident;
detecting the occurrence position of the traffic collision accident and the out-of-control movement track of the accident subject after the collision.
In one implementation, the evaluating the degree of harm the traffic collision accident causes to the current vehicle according to the evaluation report includes:
obtaining a hazard degree judgment standard;
and evaluating the hazard level of the traffic collision accident to the current vehicle according to the hazard degree evaluation standard and the evaluation report.
In one implementation manner, the obtaining a corresponding warning prompt and protection policy according to the hazard level and alarming and/or protecting according to the warning prompt and protection policy includes:
acquiring a corresponding early warning reminding and protection strategy according to the hazard level;
and carrying out auditory alarm and/or visual alarm and/or tactile alarm and/or safety belt pre-tightening protection on the driver and the passengers in the current vehicle according to the early warning reminding and protection strategy.
In one implementation, the performing audible and/or visual and/or tactile and/or seat belt pretension protection for the driver and the passenger in the current vehicle according to the warning alert and protection strategy includes:
determining the early warning grade of the early warning reminding and protection strategy;
when the early warning reminding and protection strategy is primary early warning, alarming is carried out through a sound box system in a passenger cabin of the automobile;
when the early warning reminding and protection strategy is a secondary early warning, alarming is carried out through an instrument of the automobile and/or an environmental lamp in the automobile;
and when the early warning reminding and protection strategy is a three-level early warning, alarming is carried out through an inching brake system and/or a steering wheel vibration device and/or a seat vibration device of the automobile, and/or a safety belt of the automobile is controlled to be pre-tightened.
In a second aspect, the present invention provides an automobile comprising: the processor is used for processing the traffic accident warning and protecting program, and the processor is used for executing the traffic accident warning and protecting program.
In a third aspect, the present invention provides a readable storage medium, where a traffic accident early warning and protection program is stored, and the traffic accident early warning and protection program is used to implement the traffic accident early warning and protection method according to the first aspect when executed by a processor.
The invention adopts the technical scheme and has the following effects:
according to the invention, the probability, position and the like of a possible traffic collision accident can be evaluated according to the acquired information by acquiring the road traffic participant information and the road auxiliary object information around the current vehicle, so that the degree of harm caused by the current vehicle is determined according to the evaluation result, and the current vehicle can perform different levels of alarm and protection on a driver and passengers in the current vehicle by using corresponding early warning reminding and protection strategies before and after the accident occurs.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the structures shown in the drawings without creative efforts.
Fig. 1 is a flow chart of a traffic accident early warning and protection method in an implementation of the present invention.
Fig. 2 is a schematic diagram of a domain controller architecture of a traffic accident warning and protection method in an implementation manner of the present invention.
FIG. 3 is a functional schematic of an automobile in one implementation of the invention.
The implementation, functional features and advantages of the objects of the present invention will be further explained with reference to the accompanying drawings.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention clearer and clearer, the present invention is further described in detail below with reference to the accompanying drawings and examples. It should be understood that the specific embodiments described herein are merely illustrative of the invention and do not limit the invention.
Exemplary method
As shown in fig. 1, an embodiment of the present invention provides a traffic accident early warning and protecting method, which includes the following steps:
and S100, acquiring the information of road traffic participants and the information of road auxiliary objects around the current vehicle through an environment perception sensor.
In this embodiment, the traffic accident early warning and protection method is applied to a vehicle-mounted control terminal in an automobile, where the vehicle-mounted control terminal includes but is not limited to: intelligent devices such as computers and mobile terminals; the method comprises the steps that surrounding information of an automobile in the driving process or the parking process is detected based on a vehicle-mounted environment perception sensor, then the harmfulness of traffic collision accidents among other vehicles on a road and the traffic collision accidents among other vehicles and road auxiliary objects is evaluated according to the detected information, and the traffic collision accidents can be used for early warning the current vehicle in time; the traffic collision accident includes an imminent traffic collision accident, an already occurred traffic collision accident, a post-collision secondary traffic collision accident, and the like, for example, a motion track of a post-collision accident main body faces to a current vehicle, so that a secondary collision is caused to the current vehicle.
For example, if two vehicles are about to collide in front of the current vehicle, a system of the current vehicle is required to early warn the driver in time so as to prompt the driver to prepare as early as possible; if two vehicles in front of the current vehicle have a traffic collision accident, one vehicle may be out of control, so that certain danger exists for the current vehicle; at the moment, an out-of-control route of an out-of-control vehicle needs to be monitored, a passing point of the out-of-control route is predicted, if the out-of-control route of the out-of-control vehicle and a running route of a current vehicle have a cross point, a system of the current vehicle needs to remind a driver as early as possible, and the driver and passengers in the vehicle are warned according to a warning reminding and protecting strategy so as to remind the driver of cautious driving; meanwhile, the driver and passengers in the vehicle are protected by taking certain protective measures, such as emergency braking, safety belt pre-tightening and the like of the vehicle, so that the injury to the passengers in the vehicle caused by collision accidents is reduced.
Further, before implementing the traffic accident early warning and protection method of the embodiment, a plurality of early warning reminding and protection strategies need to be set in the vehicle-mounted control terminal of the automobile; the early warning reminding and protecting strategy is set according to the degree of damage caused by the traffic collision accidents, and the degree of damage can be determined according to historical traffic collision accidents.
When the hazard degree is determined, the hazard degrees corresponding to a plurality of input traffic collision accidents can be obtained, and then early warning reminding and protection strategies are determined according to the input hazard degrees; for example, a plurality of historical traffic collision accidents are obtained, historical hazard levels are set according to hazard degrees corresponding to the historical traffic collision accidents, and then early warning reminding and protection strategies are set according to the historical hazard levels.
That is, in one implementation manner of the present embodiment, step 100 includes the following steps before:
and 001, acquiring the hazard degrees corresponding to a plurality of traffic collision accidents, and setting corresponding early warning reminding and protection strategies according to the hazard degrees.
In this embodiment, in the driving process or the parking process of the automobile, the information of road traffic participants and the information of road auxiliary objects around the automobile need to be acquired through an environment sensing sensor; wherein the environmental perception sensor includes: the system comprises sensor equipment such as a millimeter wave radar, a camera vision sensor, a panoramic 360-degree camera, an ultrasonic radar, a laser radar, an infrared sensor and the like, wherein an environment perception sensor is arranged at the position around the automobile, and the environment perception sensor is arranged at the position around the automobile, so that the dynamic information of the periphery of the automobile in the driving process can be acquired in real time, and the probability of traffic collision accidents of road traffic participants is evaluated according to the dynamic information around the automobile.
Further, the surrounding information of the automobile acquired by the environmental perception sensor includes: road traffic participant information and road auxiliary object information; wherein the road traffic participant information is moving object information on a current road where the automobile is running, such as: pedestrian, animal, and other vehicle information; the road auxiliary object information is information of a stationary object on a current road on which the vehicle is traveling, for example: fences, trees, utility poles, buildings, etc.
Further, when the road participant information is acquired, acquiring target label information, type attribute information, contour information, position information, motion state information and motion orientation information of road traffic participants around the vehicle through the environment perception sensor; wherein the motion state comprises: information such as speed, acceleration, and speed direction; in acquiring the information of the road assistant object, the target label information, the type attribute information, the position information, and the contour information of the road assistant object around the vehicle may be acquired through the environmental awareness sensor, for example: position information of objects such as fences, trees, telegraph poles and buildings is obtained.
That is, in an implementation manner of the present embodiment, step S100 specifically includes the following steps:
step S110, acquiring target label information, type attribute information, contour information, position information, motion state information and motion orientation information of road traffic participants around the current vehicle through the environment perception sensor;
step S120, acquiring target label information, type attribute information, position information, and contour information of the road assistant object around the current vehicle through the environmental awareness sensor.
The present embodiment may determine the probability of collision between a vehicle and a moving road traffic participant such as a vehicle, a vehicle and a pedestrian, and determine the probability of collision between a vehicle and a moving road traffic participant such as a roadside pole and a stationary road assistant object by acquiring target tag information, type attribute information, contour information, position information, motion state information, and motion orientation information of the road traffic participant.
As shown in fig. 1, in an implementation manner of the embodiment of the present invention, the traffic accident early warning and protecting method further includes the following steps:
and S200, evaluating the traffic collision accident according to the road traffic participant information and the road auxiliary object information to obtain a corresponding evaluation report.
In this embodiment, after acquiring the information of the road traffic participants and the information of the road auxiliary objects, a processor of the vehicle-mounted control terminal of the automobile is used to evaluate the traffic collision accident, so as to obtain an evaluation report of the traffic collision accident.
Specifically, when the traffic collision accident is evaluated, the road traffic participant information and the road auxiliary object information may be analyzed to obtain probability information, time information, position information, and motion information of a post-collision accident subject of the traffic collision accident.
Further, in analyzing the probability of the traffic collision accident, the probability of collision of road traffic participants other than the current vehicle may be analyzed, for example, the probability of collision between other vehicles, between other vehicles and pedestrians, and between other vehicles and road assistant objects.
Then selecting an object with the highest occurrence probability as a reference object, and taking the probability of the traffic collision accident of the reference object as the probability information of the traffic collision accident; correspondingly, the time information and the position information of the traffic collision accident are the time point and the position point of the occurrence of the traffic collision accident, and the motion information of the post-collision accident main body is the approximate motion track of the reference object after the traffic collision accident.
Further, after obtaining probability information, time information, position information, and motion information of the post-collision accident subject of the traffic collision accident, the evaluation report may be generated according to the probability information, the time information, the position information, and the motion information of the post-collision accident subject; the evaluation report can be uploaded to the cloud end through the vehicle-mounted 5G module for other applications.
Further, in this embodiment, the evaluation report is output as one software module in the algorithm running inside the ADAS controller, and is then sent to the next software module in the algorithm (i.e. the "evaluation of the degree of damage of the accident to the vehicle" module).
That is, in an implementation manner of this embodiment, the step S200 specifically includes the following steps:
step S210, analyzing the road traffic participant information and the road auxiliary object information to obtain probability information, time information, position information and motion information of a post-collision accident subject of the traffic collision accident;
step S220, generating the evaluation report according to the probability information, the time information, the position information, and the motion information of the post-collision accident body.
In this embodiment, when analyzing the road traffic participant information and the road auxiliary object information, a collision algorithm may be obtained, and the road traffic participant information and the road auxiliary object information may be analyzed according to the collision algorithm; the collision algorithm is an algorithm model which is preset in the automobile and obtained after multiple times of collision learning.
Further, the position and time of the potential traffic collision accident are estimated by comprehensively analyzing the road participant information and the road auxiliary object information, so that the occurrence probability is estimated, and the position of the traffic collision accident and the out-of-control motion track of the accident main body are detected.
When calculating the probability of the traffic collision accident, the traffic collision accident may be divided into three types according to the time point of the occurrence of the traffic collision accident: the first is an unforeseen but inevitable traffic accident, the second is an occurred traffic accident, and the third is a chain accident after the traffic accident.
For the first traffic collision accident, estimating the possibility (probability value, more than 0% and less than 100%), time (occurring after a long time), and position (using the coordinates of the automobile as a reference) of the occurrence of the traffic collision accident; the position of the traffic collision accident is also probability information, and the position is accompanied with a certain deviation value;
for a second traffic collision accident, if a collision between a road participant and a road participant is detected by a radar sensor of the automobile, the probability of the accident is 100%, and the position information is exact position information;
for a third traffic collision accident, the accident is marked as an occurred accident, and the motion information of the accident main body (vehicle or pedestrian) is monitored, because the vehicle cannot stop immediately after collision in a high-speed scene, irregular motion may occur, potential hazards are huge, the motion trend of the vehicle needs to be monitored, and preparation can be made for subsequent hazard degree evaluation.
In this embodiment, that is, in an implementation manner of this embodiment, the step S210 includes the following steps:
step S211, acquiring a collision algorithm, and analyzing the road traffic participant information and the road auxiliary object information according to the collision algorithm;
step S212, estimating the occurrence time and the occurrence position of the potential traffic collision accident according to the analysis result, and estimating the occurrence probability of the potential traffic collision accident;
step S213, detecting the occurrence position of the traffic collision accident and the uncontrolled motion trajectory of the accident subject after the collision.
According to the embodiment, probability information, time information, position information and motion information of a post-collision accident main body of the traffic collision accident are analyzed through a collision algorithm, and an evaluation report can be generated according to the probability information, the time information, the position information and the motion information of the post-collision accident main body, so that the hazard level caused by the traffic collision accident can be evaluated according to the evaluation report subsequently.
As shown in fig. 1, in an implementation manner of the embodiment of the present invention, the traffic accident early warning and protecting method further includes the following steps:
and step S300, evaluating the damage degree of the traffic collision accident to the current vehicle according to the evaluation report.
In this embodiment, after the evaluation report of the traffic collision accident is obtained, the degree of harm caused by the traffic collision accident to the current vehicle can be evaluated according to the evaluation report, and then a corresponding early warning reminding and protecting strategy is obtained according to the evaluated degree of harm, so that a driver and passengers in the automobile are reminded and protected in time.
Specifically, when evaluating the hazard level of the traffic collision accident, a hazard level evaluation criterion may be obtained, and then the hazard level caused by the traffic collision accident is evaluated according to the hazard level evaluation criterion and the evaluation report; the harm degree evaluation criterion may be an evaluation criterion preset in the vehicle-mounted control terminal.
Further, since the degree of damage to the vehicle from different traffic accidents is different, the degree of damage to the vehicle is mainly affected by the following factors: the direction of the traffic accident, the distance between the place of the traffic accident and the vehicle, and the speed of the vehicle when the traffic accident occurs.
When the hazard level of the vehicle is evaluated, the hazard level of the traffic accident is evaluated by integrating information of the occurrence of the traffic accident (information such as the probability of occurrence, the position of occurrence, whether an accident subject regularly moves after occurrence, and the like) and the three factors.
Further, the hazard classifications of the vehicle in this embodiment are divided into four hazard classifications: no hazard, hazard level 1, hazard level 2, hazard level 3 (higher level hazard greater).
That is, in an implementation manner of this embodiment, the step S300 specifically includes the following steps:
step S310, obtaining a hazard degree judgment standard;
and step S320, evaluating the damage level of the traffic collision accident to other vehicles according to the damage degree evaluation standard and the evaluation report.
According to the method and the device, the hazard level caused by the traffic collision accident can be evaluated by obtaining the hazard level evaluation standard, and then the corresponding early warning reminding and protection strategy is selected according to the evaluated hazard level, so that the driver and passengers in the current vehicle can be warned in time through the selected early warning reminding and protection strategy.
As shown in fig. 1, in an implementation manner of the embodiment of the present invention, the traffic accident early warning and protecting method further includes the following steps:
and S400, acquiring a corresponding early warning reminding and protecting strategy according to the hazard degree, and alarming and/or protecting according to the early warning reminding and protecting strategy.
In this embodiment, after the hazard level caused by a traffic collision accident is evaluated, a corresponding early warning reminding and protection strategy can be obtained according to the hazard level, and then an audible warning and/or a visual warning and/or a tactile warning can be given to a driver and passengers in the current vehicle according to the early warning reminding and protection strategy.
Further, when the alarm needs to be given to the driver and the passengers in the current vehicle, according to the difference of the hazard levels, the alarm can be given in a single or combined alarm mode, for example, when the collision accident with the hazard level of 1 is caused, the alarm is given only in an audible alarm mode; when the collision accident with the hazard level of 2 is caused, the alarm can be given by adopting a visual alarm mode, and the alarm can also be given by adopting a combined mode of visual alarm and audible alarm; and when the collision accident with the hazard grade of 3 grades occurs, the alarm can be given by adopting a touch alarm mode, and the alarm can also be given by adopting a combined mode of touch alarm, visual alarm and auditory alarm.
That is, in an implementation manner of this embodiment, the step S400 specifically includes the following steps:
step S410, acquiring a corresponding early warning reminding and protection strategy according to the hazard level;
and step S420, performing audible alarm and/or visual alarm and/or tactile alarm and/or safety belt pre-tightening protection on the driver and the passengers in the current vehicle according to the early warning reminding and protection strategy.
In this embodiment, when the early warning reminder and the protection policy are acquired, the early warning level of the early warning reminder and the protection policy can be determined; wherein the early warning level corresponds to the hazard level, i.e. the higher the hazard level, the higher the early warning level.
When the early warning reminding and protection strategy is primary early warning, alarming is carried out through a sound box system in a passenger cabin of the automobile; namely, when the hazard level is 1 level, the alarm is given by using an acoustic alarm through an acoustic system in the passenger compartment.
When the early warning reminding and protection strategy is a secondary early warning, alarming is carried out through an instrument of the automobile and/or an environmental lamp in the automobile; namely, when the hazard level is 2, the alarm is given by using a light visual alarm through an instrument panel (or HUD head-up display) and/or an environment lamp in the vehicle.
When the early warning reminding and protection strategy is a three-level early warning, alarming is carried out through an inching brake system and/or a steering wheel vibration device and/or a seat vibration device of the automobile, and/or a safety belt of the automobile is controlled to be pre-tightened; when the hazard grade is 3, the limb tactile alarm is used, and the alarm is given out in a vehicle snubbing and/or steering wheel vibration and/or seat vibration mode; or the safety belt is controlled to give an early warning so as to protect the driver and passengers from being hurt by accidents.
That is, in an implementation manner of this embodiment, step S420 specifically includes the following steps:
step S421, determining the early warning grade of the early warning reminding and protection strategy;
step S422, when the early warning reminding and protection strategy is primary early warning, alarming is carried out through a sound box system in a passenger cabin of the automobile;
step 423, when the early warning reminding and protection strategy is a secondary early warning, alarming through the instrument of the automobile and/or the environmental lamp in the automobile;
and step S424, when the early warning reminding and protection strategy is a three-level early warning, alarming through an inching brake system and/or a steering wheel vibration device and/or a seat vibration device of the automobile, and/or controlling a safety belt of the automobile to pre-tighten.
In the embodiment, when the information of road traffic participants and the information of road auxiliary objects are processed, the environmental perception sensor sends the acquired information to the processor of the vehicle-mounted control terminal, and the processor runs a corresponding algorithm at the moment to evaluate the probability of accident occurrence and the hazard level; the evaluation can also be carried out by adopting a mode of 'environment sensor + domain controller', namely, the environment sensor sends the collected road traffic participant information and the road auxiliary object information to the domain controller, and a processor (or a microprocessor) on the domain controller runs a corresponding evaluation algorithm.
As shown in fig. 2, the domain controller in the present embodiment includes: an IC controller (i.e., an instrument panel), a BCM controller (i.e., a vehicle body controller), an EPS controller (i.e., a steering wheel steering assist controller), an ESP controller (i.e., a chassis controller), and an SDM controller (i.e., an airbag controller); these domain controllers are controlled by an ADAS control system (i.e., an advanced driving control system), and transmit and receive signals through a middle-layer controller.
Further, the IC controller is used to control audio and instrument displays (or HUD heads-up displays) within the passenger compartment; the system comprises a passenger cabin, a sound box, an instrument and a warning and protecting module, wherein the sound box is used for realizing early warning and protecting strategies of auditory reminding, and the instrument displays the early warning and protecting strategies for realizing visual reminding; the BCM controller is used for controlling the atmosphere lamp in the vehicle and the seat to vibrate; the system comprises an in-vehicle atmosphere lamp, a seat vibration lamp, a warning reminding module and a protection module, wherein the in-vehicle atmosphere lamp is used for realizing a warning reminding and protection strategy of visual reminding, and the seat vibration is used for realizing a warning reminding and protection strategy of tactile reminding; the EPS controller is used for controlling the vibration of a steering wheel, the ESP controller is used for controlling the inching brake of a vehicle, and the two controllers are both used for realizing the early warning reminding and the protection strategy of the touch reminding; the SDM controller is used for controlling the pretensioning of the air bag and the safety belt so as to open the air bag and the pretensioning safety belt to protect a driver and passengers when the damage degree of the traffic collision accident is high.
Therefore, according to the embodiment, the probability, the position and the like of a traffic collision accident which may occur are evaluated according to the acquired information by acquiring the road traffic participant information and the road auxiliary object information around the current vehicle, so that the degree of harm caused by the current vehicle is determined according to the evaluation result, and the current vehicle can perform alarm and protection of different levels on a driver and passengers in the current vehicle by using corresponding early warning reminding and protection strategies before and after the accident occurs.
Exemplary device
Based on the above embodiments, the present invention further provides an automobile, and a schematic block diagram thereof may be as shown in fig. 3.
This car includes: a vehicle-mounted control terminal;
the vehicle-mounted control terminal includes: the system comprises a processor, a memory, an interface, a display screen and a communication module which are connected through a system bus; wherein the processor of the vehicle is configured to provide computing and control capabilities; the memory of the automobile comprises a readable storage medium and an internal memory; the readable storage medium stores an operating system and a computer program; the internal memory provides an environment for the operation of an operating system and a computer program in the readable storage medium; the interface is used for connecting external terminal equipment, such as mobile terminals and computers; the display screen is used for displaying corresponding early warning information; the communication module is used for communicating with a cloud server or a mobile terminal.
The computer program is used for realizing a traffic accident early warning and protecting method when being executed by a processor.
It will be appreciated by those skilled in the art that the schematic block diagram shown in fig. 3 is merely a block diagram of a portion of the structure associated with the inventive arrangements and is not intended to limit the vehicles to which the inventive arrangements may be applied, and that a particular vehicle may include more or fewer components than shown, or may combine certain components, or have a different arrangement of components.
In one embodiment, an automobile is provided, comprising: the processor and the memory, the memory stores the traffic accident early warning and protection program, and the traffic accident early warning and protection program is used for realizing the traffic accident early warning and protection method when being executed by the processor.
In one embodiment, a storage medium is provided, wherein the storage medium stores a traffic accident early warning and protection program, and the traffic accident early warning and protection program is used for implementing the above traffic accident early warning and protection method when being executed by a processor.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by hardware related to instructions of a computer program, which can be stored in a non-volatile computer-readable storage medium, and when executed, the computer program can include the processes of the embodiments of the methods described above. Any reference to memory, storage, databases, or other media used in embodiments provided herein may include non-volatile and/or volatile memory.
In summary, the present invention provides a traffic accident early warning and protection method, an automobile and a readable storage medium, wherein the method comprises: acquiring road traffic participant information and road auxiliary object information around a current vehicle through an environment perception sensor; evaluating the traffic collision accident according to the road traffic participant information and the road auxiliary object information to obtain a corresponding evaluation report; evaluating the degree of harm caused by the traffic collision accident to the current vehicle according to the evaluation report; and acquiring a corresponding early warning reminding and protection strategy according to the hazard degree, and alarming and/or protecting according to the early warning reminding and protection strategy. According to the invention, the probability, the position and the like of the traffic collision accident are evaluated by acquiring the information of the traffic participants and the information of the auxiliary objects, so that the degree of harm caused by the current vehicle is determined according to the evaluation result, and the current vehicle can perform different levels of alarm and/or protection on the driver and passengers by using corresponding early warning reminding and protection strategies.
It is to be understood that the invention is not limited to the examples described above, but that modifications and variations may be effected thereto by those of ordinary skill in the art in light of the foregoing description, and that all such modifications and variations are intended to be within the scope of the invention as defined by the appended claims.

Claims (8)

1. A traffic accident early warning and protecting method is characterized by comprising the following steps:
acquiring road traffic participant information and road auxiliary object information around a current vehicle through an environment perception sensor, wherein the environment perception sensor comprises: the system comprises a millimeter wave radar, a camera vision sensor, a panoramic 360-degree camera, an ultrasonic radar, a laser radar and an infrared sensor;
evaluating a traffic collision accident according to the road traffic participant information and the road auxiliary object information to obtain a corresponding evaluation report, wherein the traffic collision accident comprises: an impending traffic collision accident, an already occurring traffic collision accident and a secondary traffic collision accident after collision;
evaluating the degree of harm caused by the traffic collision accident to the current vehicle according to the evaluation report;
acquiring a corresponding early warning reminding and protection strategy according to the hazard degree, and alarming and/or protecting according to the early warning reminding and protection strategy, wherein the traffic collision accident is evaluated according to the road traffic participant information and the road auxiliary object information to obtain a corresponding evaluation report, and the method comprises the following steps:
analyzing the road traffic participant information and the road auxiliary object information to obtain probability information, time information, position information and motion information of a post-collision accident subject of the traffic collision accident;
generating the evaluation report according to the probability information, the time information, the location information, and the motion information of the post-collision accident subject, wherein the analyzing the road traffic participant information and the road auxiliary object information to obtain the probability information, the time information, the location information, and the motion information of the post-collision accident subject includes:
acquiring a collision algorithm, and analyzing the road traffic participant information and the road auxiliary object information according to the collision algorithm;
estimating the occurrence time and the occurrence position of the potential traffic collision accident according to the analysis result, and estimating the occurrence probability of the potential traffic collision accident;
detecting the occurrence position of a traffic collision accident and the out-of-control movement track of the accident subject after the collision.
2. The traffic accident early warning and protection method according to claim 1, wherein the obtaining of the road traffic participant information and the road auxiliary object information around the current vehicle by the environment sensing sensor previously comprises:
and acquiring the hazard degrees corresponding to a plurality of traffic collision accidents, and setting corresponding early warning reminding and protection strategies according to the hazard degrees.
3. The traffic accident early warning and protection method according to claim 1, wherein the acquiring of the road traffic participant information and the road auxiliary object information around the current vehicle by the environment sensing sensor comprises:
acquiring target label information, type attribute information, contour information, position information, motion state information and motion orientation information of road traffic participants around the current vehicle through the environment perception sensor;
and acquiring target label information, type attribute information, position information and contour information of the road auxiliary object around the current vehicle through the environment perception sensor.
4. The method of claim 1, wherein the step of evaluating the degree of damage to the current vehicle caused by the traffic collision event according to the evaluation report comprises:
obtaining a hazard degree judgment standard;
and evaluating the hazard level of the traffic collision accident to the current vehicle according to the hazard degree evaluation standard and the evaluation report.
5. The traffic accident early warning and protection method according to claim 4, wherein the obtaining of the corresponding early warning reminding and protection strategy according to the hazard level and the alarming and/or protection according to the early warning reminding and protection strategy comprises:
acquiring a corresponding early warning reminding and protection strategy according to the hazard level;
and carrying out audible alarm and/or visual alarm and/or tactile alarm and/or safety belt pre-tightening protection on a driver and passengers in the current vehicle according to the early warning reminding and protection strategy.
6. The traffic accident warning and protection method according to claim 5, wherein the performing of the audible warning and/or the visual warning and/or the tactile warning and/or the seat belt pretension protection for the driver and the passenger in the current vehicle according to the warning reminding and protection strategy comprises:
determining the early warning grade of the early warning reminding and protection strategy;
when the early warning reminding and protection strategy is primary early warning, alarming is carried out through a sound box system in a passenger cabin of the current vehicle;
when the early warning reminding and protection strategy is a secondary early warning, alarming is carried out through an instrument of the current vehicle and/or an environmental lamp in the vehicle;
and when the early warning reminding and protection strategy is a three-level early warning, alarming by an inching brake system and/or a steering wheel vibration device and/or a seat vibration device of the current vehicle, and/or controlling a safety belt of the current vehicle to pre-tighten.
7. An automobile, comprising: a processor and a memory, the memory storing a traffic accident warning and protection program, the traffic accident warning and protection program when executed by the processor being adapted to implement the traffic accident warning and protection method according to any one of claims 1 to 6.
8. A readable storage medium storing a traffic accident early warning and protection program, wherein the traffic accident early warning and protection program is executed by a processor to implement the traffic accident early warning and protection method according to any one of claims 1 to 6.
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Families Citing this family (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115148051A (en) * 2022-06-29 2022-10-04 上海集度汽车有限公司 Traffic danger prompting method, equipment, device, vehicle and storage medium
CN115123131B (en) * 2022-07-08 2024-01-09 浙江吉利控股集团有限公司 Vehicle safety electronic control method, device, equipment and storage medium

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106485922A (en) * 2016-12-20 2017-03-08 东南大学 Secondary traffic accident method for early warning based on high accuracy traffic flow data
CN109664882A (en) * 2019-01-08 2019-04-23 广州小鹏汽车科技有限公司 A kind of method avoiding road vehicle secondary collision, system and electronic equipment
CN112061119A (en) * 2019-05-24 2020-12-11 奥迪股份公司 Secondary collision prevention system, vehicle including the same, and corresponding method and medium
CN112132995A (en) * 2020-10-20 2020-12-25 北京嘀嘀无限科技发展有限公司 Data processing method, device and system, vehicle-mounted equipment and server

Family Cites Families (17)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6553130B1 (en) * 1993-08-11 2003-04-22 Jerome H. Lemelson Motor vehicle warning and control system and method
CN102390320B (en) * 2011-08-22 2013-06-12 武汉理工大学 Vehicle anti-collision early warning system based on vehicle-mounted sensing network
DE102011115223A1 (en) * 2011-09-24 2013-03-28 Audi Ag Method for operating a safety system of a motor vehicle and motor vehicle
KR101406031B1 (en) * 2012-08-20 2014-06-13 록앤올 주식회사 Accident Alarm System for Preventing Secondary Collision
CN207123950U (en) * 2017-07-11 2018-03-20 珠海利安达智能科技有限公司 Road safety early warning system
CN108022026A (en) * 2018-01-25 2018-05-11 戴姆勒股份公司 A kind of traffic security early warning method of traffic control, device and the system including the device
CN208101973U (en) * 2018-03-26 2018-11-16 深圳市布谷鸟科技有限公司 A kind of intelligent driving auxiliary anti-collision system
CN110660270B (en) * 2018-06-29 2021-09-21 比亚迪股份有限公司 Method for establishing vehicle collision risk evaluation model and collision risk evaluation method
CN108898889A (en) * 2018-07-10 2018-11-27 长安大学 A kind of highway second accident prevention early warning system and control method
CN109686124A (en) * 2018-11-28 2019-04-26 法法汽车(中国)有限公司 Anticollision based reminding method and system, storage medium and electronic equipment
CN111833648A (en) * 2019-04-18 2020-10-27 上海汽车集团股份有限公司 Vehicle collision early warning method and device
CN110920552B (en) * 2019-11-15 2020-10-30 吉林大学 Vehicle safety system and method for preventing interlink accident after collision on highway
CN111489588B (en) * 2020-03-30 2024-01-09 腾讯科技(深圳)有限公司 Vehicle driving risk early warning method and device, equipment and storage medium
CN112109730A (en) * 2020-06-10 2020-12-22 上汽通用五菱汽车股份有限公司 Reminding method based on interactive data, vehicle and readable storage medium
CN112165421B (en) * 2020-09-11 2022-04-01 上汽通用五菱汽车股份有限公司 Vehicle information returning method, vehicle, server and storage medium
CN112712733B (en) * 2020-12-23 2022-01-11 交通运输部公路科学研究所 Vehicle-road cooperation-based collision early warning method and system and road side unit
CN112950997B (en) * 2021-01-29 2022-08-30 长城汽车股份有限公司 Emergency linkage method and system

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106485922A (en) * 2016-12-20 2017-03-08 东南大学 Secondary traffic accident method for early warning based on high accuracy traffic flow data
CN109664882A (en) * 2019-01-08 2019-04-23 广州小鹏汽车科技有限公司 A kind of method avoiding road vehicle secondary collision, system and electronic equipment
CN112061119A (en) * 2019-05-24 2020-12-11 奥迪股份公司 Secondary collision prevention system, vehicle including the same, and corresponding method and medium
CN112132995A (en) * 2020-10-20 2020-12-25 北京嘀嘀无限科技发展有限公司 Data processing method, device and system, vehicle-mounted equipment and server

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
Di Ao等.Robust Active Post-Impact Motion Control for Restraining a Second Crash.《2020 IEEE 16th International Conference on Automation Science and Engineering (CASE)》.2020,159-164. *
廖雯婧.高速公路事故数据分析与报警服务系统的研究.《中国优秀硕士学位论文全文数据库 (工程科技Ⅱ辑)》.2017,(第undefined期),C034-286. *

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