CN112758088A

CN112758088A - Dangerous source reminding method and advanced driving assistance system

Info

Publication number: CN112758088A
Application number: CN201911072587.6A
Authority: CN
Inventors: 不公告发明人
Original assignee: Shenzhen Tatfook Technology Co Ltd
Current assignee: Shenzhen Tatfook Technology Co Ltd
Priority date: 2019-11-05
Filing date: 2019-11-05
Publication date: 2021-05-07

Abstract

The application discloses a voice reminding method, an advanced driving assistance system and a computer storage medium, wherein the method comprises the following steps: acquiring road condition information in real time, and determining a hazard source in a preset range of a vehicle according to the road condition information; grading the dangerous source and determining the grade of the dangerous source; and carrying out graded reminding on the danger sources according to the grades of the danger sources so as to carry out reminding of different grades on the danger sources of different grades in real time. Through the mode, the system and the method can make corresponding reminding for different kinds of dangerous sources in real time, and driving safety is improved.

Description

Dangerous source reminding method and advanced driving assistance system

Technical Field

The embodiment of the application relates to the technical field of vehicles, in particular to a warning method of a danger source, an advanced driving assistance system and a computer storage medium.

Background

The vehicle assisted driving function can now alert the driver of potential hazards based on data provided by various vehicles, such as: and the driver is reminded of the current existing danger source in modes of buzzer alarm, voice reminding or seat vibration and the like.

However, the existing Advanced Driving Assistance System (ADAS) for vehicles has the same reminding mode for all dangerous sources, and does not well carry out graded reminding for the dangerous sources, so that drivers may react to the unchanged reminding mode and fatigue, and cannot timely take countermeasures for dangers, thereby causing dangers.

Disclosure of Invention

The application provides a dangerous source reminding method which is used for carrying out graded reminding on dangerous sources in the current environment of a vehicle so as to remind different dangerous sources in different modes and improve driving safety.

The first aspect of the present application provides a method for reminding a hazard source, where the method for reminding a hazard source includes:

acquiring road condition information in real time, and determining a hazard source in a preset range of a vehicle according to the road condition information; grading the dangerous source and determining the grade of the dangerous source; and carrying out graded reminding on the danger sources according to the grades of the danger sources so as to carry out reminding of different grades on the danger sources of different grades in real time.

Based on the first aspect of the present application, a first implementation manner of the first aspect of the present application, acquiring the traffic information in real time includes: acquiring road condition data by using a camera on a vehicle, wherein the road condition data comprises a road condition video or a multi-frame road condition image;

and processing the road condition data to obtain road condition information, wherein the road condition information comprises the position, the speed, the advancing direction and/or the collision time of traffic elements in a preset range of the vehicle, and the traffic elements comprise pedestrians, motor vehicles, non-motor vehicles and/or animals.

The road condition data can be acquired in real time by utilizing the camera on the vehicle, so that the road condition data can be analyzed and processed conveniently, and information of traffic elements in the road condition can be acquired.

Based on the first aspect of the present application to the first implementation manner of the first aspect, the second implementation manner of the first aspect of the present application, when the road condition information includes the collision time, determining the hazard source within the preset range of the vehicle according to the road condition information includes:

judging whether the collision time is less than the preset collision time;

if the collision time is less than the preset collision time, judging that a danger source exists in the preset range of the vehicle; and if the collision time is greater than or equal to the preset collision time, judging that no danger source exists in the preset range of the vehicle.

Whether a danger source exists in the preset range of the vehicle can be judged by judging the collision time between the traffic element and the vehicle, so that the danger source can be timely reminded.

Based on the first aspect of the present application to the first implementation manner and the second implementation manner of the first aspect of the present application, the third implementation manner of the first aspect of the present application processes the road condition data, and obtaining the road condition information includes:

carrying out target identification on the road condition data to obtain traffic elements in the road condition data;

and acquiring the collision time between each traffic element and the vehicle by using a collision time method.

The road condition data acquired by the camera is processed by a target identification method, so that traffic elements can be obtained, and whether the traffic elements are dangerous sources or not is judged.

Based on the first to third implementation manners of the first aspect of the present application, a fourth implementation manner of the first aspect of the present application, the obtaining the collision time between each traffic element and the vehicle by using a collision time method includes:

acquiring the distance between the traffic element and the vehicle and the relative speed of the traffic element and the vehicle;

and calculating the collision time of the vehicle and the traffic element according to the distance between the current traffic element and the vehicle and the relative speed of the traffic element and the vehicle.

By acquiring the relative speed and the distance between the traffic element and the vehicle, the collision time of the traffic element and the vehicle can be calculated, and whether the traffic element is a hazard source can be judged according to the collision time.

Based on the first to fourth implementation manners of the first aspect to the first aspect of the present application, a fifth implementation manner of the first aspect of the present application includes:

judging whether the collision time is less than a first preset time or not;

and if the collision time is less than the first preset time, judging that the grade of the hazard source is a high-risk grade.

By judging the size relation between the collision time and the first preset time, the danger sources can be classified, and the danger sources with the collision time smaller than the first preset time can be judged to be high danger levels.

Based on the first to fifth implementation manners of the first to fifth aspects of the present application, in a sixth implementation manner of the first aspect of the present application, when the collision time is greater than or equal to the first preset time, whether the collision time is greater than the second preset time is determined;

if the collision time is greater than the second preset time, judging the grade of the hazard source to be a low-risk grade; and if the collision time is less than or equal to the second preset time, determining that the grade of the hazard source is the medium-risk grade.

When the collision time is not less than the first preset time, the danger sources can be further classified by judging the size relationship between the collision time and the second preset time, and the danger sources can be judged to be medium danger levels or low danger levels.

Based on the first to sixth implementation manners of the first to third aspects of the present application, a seventh implementation manner of the first aspect of the present application performs hierarchical reminding according to the level of the hazard source to perform reminding of different levels on hazard sources of different levels in real time, including:

when the level of the hazard source is a high-risk level, the reminding information is broadcasted for several times according to a first loudness, a first preset tone, a first speed of speech and a first preset number, and a steering wheel or a seat of the vehicle vibrates at a first frequency;

when the level of the hazard source is a medium hazard level, the reminding information is broadcasted for several times according to a second loudness, a second preset tone, a second speed of speech and a second preset number, and the steering wheel or the seat of the vehicle vibrates at a second frequency;

when the level of the hazard source is a low-risk level, the reminding information is broadcasted for a plurality of times according to a third loudness, a third preset timbre, a third speed of speech and a third preset number, and the steering wheel or the seat of the vehicle vibrates at a third frequency;

the reminding information comprises the type, the advancing direction, the speed or the distance between the dangerous source and the vehicle, the first loudness, the second loudness and the third loudness are reduced in sequence, the first speech speed, the second speech speed and the third speech speed are reduced in sequence, and the first frequency, the second frequency and the third frequency are reduced in sequence.

Can remind the danger source of different grades through the warning mode of difference, can distinguish the danger source of different danger degree, the navigating mate of being convenient for knows the dangerous situation of danger source clearly, in time makes the counter-measure.

A second aspect of the present application provides an advanced driving assistance system comprising a memory and a processor connected to each other, wherein the memory is adapted to store a computer program, which when executed by the processor is adapted to carry out the method of any of the first aspect above.

A third aspect of the present application provides a computer storage medium for storing a computer program for implementing the method of any of the first aspects described above when executed by a processor.

Through the scheme, the beneficial effects of the application are that: the obtained road condition information is used for determining the dangerous sources in the preset range of the vehicle, then the dangerous sources are classified, and classified reminding is carried out according to the grades of the dangerous sources, so that the reminding function of the vehicle is not only used for simply reminding a driver of needing to concentrate attention, but also used for carrying out classified reminding, and corresponding reminding can be carried out on different kinds of dangerous sources, so that the driver can be reminded of driving safely in a more definite mode, and the driving safety is improved.

Drawings

In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts. Wherein:

fig. 1 is a schematic flowchart of an embodiment of a method for reminding a source of danger provided by the present application;

FIG. 2 is a schematic flow chart illustrating a method for alerting a hazard source according to another embodiment of the present disclosure;

FIG. 3 is a schematic illustration of the same hazard source at different times in the embodiment shown in FIG. 2;

FIG. 4(a) is a schematic view of the different sources of danger at the same time in the embodiment shown in FIG. 2;

FIG. 4(b) is another schematic view of the different sources of danger at the same time in the embodiment shown in FIG. 2;

FIG. 5 is a schematic diagram of an embodiment of an advanced driving assistance system provided herein;

FIG. 6 is a schematic diagram of an embodiment of a computer storage medium provided herein;

fig. 7 is a schematic structural diagram of an embodiment of a warning device for a hazard provided by the present application.

Detailed Description

The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.

Referring to fig. 1, fig. 1 is a schematic flow chart of an embodiment of a method for reminding a dangerous source provided in the present application, the method including:

step 11: and acquiring the road condition information in real time, and determining a dangerous source in a preset range of the vehicle according to the road condition information.

In order to remind the hazard source, an ADAS system may be installed on the vehicle, and the ADAS system may be used to obtain road condition information in the current environment of the vehicle in real time and analyze the obtained road condition information, so as to determine the hazard source currently within a preset range of the vehicle, where the preset range may be a default value of the system, such as a range with the vehicle as a center and a radius of 100 m.

Step 12: and (4) grading the dangerous sources and determining the grades of the dangerous sources.

After the hazard source within the preset range of the vehicle is determined, the hazard source may be ranked using a hazard source ranking method, which will be described in more detail below.

Step 13: and carrying out graded reminding on the danger sources according to the grades of the danger sources so as to carry out reminding of different grades on the danger sources of different grades in real time.

The vehicle warning method can be used for carrying out corresponding warning according to the grade of the danger source, and can adopt at least one of voice warning, color warning or vibration warning to carry out warning, for example, two danger sources are judged to be in a preset range of the vehicle at present, the grades of the two danger sources are respectively high danger grade and low danger grade, a voice warning mode is adopted to carry out warning, and for the danger sources with high danger grade, the vehicle warning method can be used for reminding by using sound with larger volume and sharp sound or related indicator lights watched by a driver on the vehicle are red in color; for the danger source with low danger level, when the voice is used for reminding, the voice with common volume can be used for reminding, or the color of a related indicator lamp watched by a driver on the vehicle is green.

The method for reminding the dangerous source provided by the embodiment enables the voice reminding function of the vehicle to simply remind a driver of needing to concentrate attention, and adopts a mode of carrying out reminding in a grading mode to grade dangerous sources with different degrees, so that corresponding reminding can be carried out on different kinds of dangerous sources, and therefore the driver can be reminded of driving safely in a more definite mode, and the driving safety is improved.

Referring to fig. 2, fig. 2 is a schematic flow chart of another embodiment of a method for reminding a source of danger according to the present application, the method includes:

step 201: and acquiring road condition data by using a camera on the vehicle.

The road condition data comprise road condition videos or multi-frame road condition images, an ADAS system carried by the vehicle can comprise a camera or a radar sensor, and the road condition data can be captured in real time by recording or photographing the environment in the preset range of the vehicle.

Step 202: and processing the road condition data to obtain road condition information.

The traffic information includes a position, a speed, a heading direction, or a collision time of a traffic element including a pedestrian, a motor vehicle, a non-motor vehicle, or an animal, etc., within a preset range of the vehicle.

In a specific embodiment, the ADAS system is used to perform target identification on the road condition data, and obtain traffic elements in the road condition data, so as to identify pedestrians, motor vehicles, non-motor vehicles or animals and the like within a preset range of the vehicle; and then acquiring the collision time between each traffic element and the vehicle by using a Time To Collision (TTC) method.

Step 203: and judging whether the collision time is less than the preset collision time.

After the collision time between each traffic element and the vehicle is obtained, whether a hazard source exists in a preset range can be determined according to the collision time, as shown in

steps

204 and 205.

Step 204: and if the collision time is judged to be less than the preset collision time, judging that a danger source exists in the preset range of the vehicle.

The vehicle may determine whether there is a danger source within the preset range through the ADAS system, and if there is a danger source, enter a level determination process of the danger source, that is, execute step 206.

Step 205: and if the collision time is judged to be greater than or equal to the preset collision time, judging that no danger source exists in the preset range of the vehicle.

When the collision time between the traffic element and the vehicle is greater than or equal to the preset collision time, the distance between the traffic element and the vehicle is considered to be relatively long and does not belong to the category of the hazard source; for example, the preset collision time is 1 minute, and if the current collision time between the pedestrian and the vehicle is greater than 1 minute, it is determined that the pedestrian is not a hazard source.

In a specific embodiment, the distance between the traffic element and the vehicle and the relative speed of the traffic element and the vehicle can be obtained; and then calculating the collision time of the vehicle and the traffic element according to the distance between the current traffic element and the vehicle and the relative speed of the traffic element and the vehicle.

The ADAS system carried by the vehicle can detect a hazard source in a preset range of the vehicle, can acquire the distance between the vehicle and a traffic element, the speed of the traffic element and the advancing direction of the traffic element, and can calculate the collision time between the vehicle and the traffic element by combining the advancing direction and the speed of the vehicle so as to judge whether the traffic element is the hazard source; specifically, the distance between the current traffic element and the vehicle may be divided by the relative speed, thereby calculating the time of collision of the vehicle with the traffic element.

Step 206: and judging whether the collision time is less than a first preset time.

Step 207: and if the collision time is less than the first preset time, judging that the grade of the hazard source is a high-risk grade.

In order to grade the danger source, the danger of the danger source can be graded and measured, specifically, whether the collision time between the danger source and the vehicle is less than a first preset time or not can be judged, if the collision time between the danger source and the vehicle is less than the first preset time, it indicates that the vehicle and the danger source are easy to collide, and the grade of the danger source is a high danger grade.

Step 208: when the level of the dangerous source is a high danger level, the reminding information is broadcasted for a plurality of times by a first loudness, a first preset timbre, a first speed of speech and a first preset number, and the steering wheel or the seat of the vehicle vibrates at a first frequency.

The reminding information comprises the type, the advancing direction, the speed or the distance between the danger source and the vehicle. If the level of the hazard source is a high risk level, reminding a driver with a high-level alarm; specifically, the method adopts repeated voice (such as 3 times), easily distinguished tone (such as sharp sound), large volume, fast speed, seat or steering wheel vibration at high frequency and the like for reminding.

Step 209: and when the collision time is greater than or equal to the first preset time, judging whether the collision time is greater than a second preset time.

If the collision time between the vehicle and the hazard source is greater than or equal to the first preset time, in order to further classify the grade of the hazard source, it may be determined whether the collision time is greater than a second preset time, the second preset time being greater than the first preset time.

The values of the first preset time and the second preset time are not fixed, and the optimal value of the first preset time and the second preset time is related to factors such as vehicle performance, driving habits of vehicle owners or road conditions (braking conditions caused by sunny days, rainy days, snowy days or icy roads and the like), and cannot be known in a general way; for example, assume that the time to collision is t, t <2 seconds belongs to a high risk level, 2 ≦ t ≦ 4 seconds belongs to a medium risk level, and t >4 seconds belongs to a low risk level.

Step 210: and if the collision time is less than or equal to the second preset time, determining that the grade of the hazard source is the medium-risk grade.

And if the collision time between the vehicle and the danger source is greater than the first preset time and less than or equal to the second preset time, determining that the grade of the danger source is a medium-risk grade.

Step 211: when the level of the hazard source is a medium-risk level, the reminding information is broadcasted for several times by using a second loudness, a second preset tone, a second speed of speech and a second preset quantity, and the steering wheel or the seat of the vehicle vibrates at a second frequency.

If the grade of the hazard source is a medium-grade danger grade, reminding a driver of a medium-grade alarm; specifically, the reminding is performed by using more repeated voices (such as 2 times), sharper sounds, larger volume, faster voice speed, and higher-frequency vibration of the seat or the steering wheel.

Step 212: and if the collision time is greater than the second preset time, judging that the grade of the hazard source is a low-risk grade.

If the collision time between the vehicle and the hazard source is greater than the second preset time, the collision time is longer, the vehicle and the hazard source are not easy to collide, and the level of the hazard source is a low-risk level.

Step 213: when the level of the dangerous source is a low danger level, the reminding information is broadcasted for a plurality of times according to a third loudness, a third preset timbre, a third speed of speech and a third preset number, and the steering wheel or the seat of the vehicle vibrates at a third frequency.

The first loudness, the second loudness and the third loudness are reduced in sequence, the first speech rate, the second speech rate and the third speech rate are reduced in sequence, and the first frequency, the second frequency and the third frequency are reduced in sequence. If the level of the hazard source is a low risk level, reminding a driver of the low-level alarm; specifically, the reminding is performed by using a non-repetitive, ordinary volume, ordinary sound, normal speech speed, seat or steering wheel vibration at normal frequency, and the like.

In a specific embodiment, as shown in fig. 3, which shows a schematic diagram of the same hazard source at different times, the hazard source may alarm at different levels according to different hazard levels, with different speeds and positions at different times; FIG. 3 illustrates the process of a pedestrian moving from position A, where the vehicle alerts the driver of a pedestrian in front of the left with a low level alert, to position C; when the vehicle is at the position B, the vehicle reminds a driver of the pedestrian crossing the road in the front left by a medium-grade alarm; when the pedestrian is in position C, the vehicle alerts the driver that there is a pedestrian in front with a high level alert.

In another specific embodiment, it may also be determined whether there is a high risk level hazard source within a preset range of the vehicle; if the danger source with the high danger level exists in the preset range of the vehicle, only the danger source corresponding to the high danger level is reminded by voice; if the danger source with the high danger level does not exist in the preset range of the vehicle and the danger sources with at least two levels exist in the preset range of the vehicle, the voice reminding can be sequentially carried out on the danger sources according to the level sequence of the danger sources, when only one level of danger sources exists in the preset range of the vehicle, the voice reminding is directly carried out on the danger sources, and otherwise, the voice reminding is not carried out.

For example, as shown in fig. 4, fig. 4(a) and 4(b) show the difference between the reminding manners when different dangerous sources exist at the same time, in each of fig. 4(a) and 4(b), there are a plurality of different dangerous sources, each dangerous source has different grades, 4(a) there are traffic elements with high dangerous grade, medium dangerous grade and low dangerous grade, and 4(b) there are only traffic elements with medium dangerous grade and low dangerous grade; when a plurality of levels of danger sources exist simultaneously, the reminding mode is different.

When the vehicle a has a danger source with a high danger level, the vehicle a may only remind the danger source with the high danger level, as shown in fig. 4(a), the vehicle a may first detect whether the danger source with the high danger level exists, and if the danger source with the high danger level exists, the vehicle a may prompt the driver that a pedestrian and a vehicle B exist in the front left side with a high-level alarm.

When there is no danger source with a high danger level and there are danger sources with at least two levels within the preset range of the vehicle a, the vehicle a can remind the danger source with a medium danger level and then the danger source with a low danger level according to the danger levels, as shown in fig. 4(b), and the vehicle a can remind the front left of the existence of the motorcycle and the bicycle in sequence.

In other embodiments, the number of the danger levels may be adjusted according to actual conditions, and is not limited to the three levels in this embodiment, and the reminding manner is similar to that provided in this embodiment, and the reminding manner of different danger levels may be distinguished.

The method for reminding the dangerous sources in the embodiment can classify different dangerous sources so as to carry out classified reminding, can remind drivers more humanized, reduce the reaction fatigue of the drivers to the unchanged reminding, can remind the drivers to pay attention to the most important and dangerous sources in various potential dangerous sources, and improves the driving safety.

Referring to fig. 5, fig. 5 is a schematic structural diagram of an embodiment of the advanced driving assistance system provided in the present application, and the advanced driving assistance system 50 includes a memory 51 and a processor 52 connected to each other, where the memory 51 is used for storing a computer program, and the computer program is used for implementing the method for reminding a hazard source in the above embodiment when being executed by the processor 52.

The advanced driving assistance system 50 in this embodiment can distinguish the danger levels of different danger sources according to the acquired data, can perform a large-degree prompt on an emergency situation, and perform a light-degree prompt on a non-emergency situation, thereby achieving the purpose of graded prompt.

Referring to fig. 6, fig. 6 is a schematic structural diagram of an embodiment of a computer storage medium provided in the present application, where the computer storage medium 60 is used to store a computer program 61, and when the computer program 61 is executed by a processor, the method for reminding a hazard source in the foregoing embodiment is implemented.

The storage medium 60 may be a server, a usb disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and various media capable of storing program codes.

Referring to fig. 7, fig. 7 is a schematic structural diagram of an embodiment of a warning device for a hazard source provided in the present application, where the warning device 70 for a hazard source includes: an acquisition module 71 and a processing module 72.

The obtaining module 71 is configured to obtain the traffic information in real time.

The processing module 72 is configured to determine a hazard source within a preset range of the vehicle according to the road condition information, classify the hazard source, and determine a grade of the hazard source; and carrying out graded reminding on the danger sources according to the grades of the danger sources so as to carry out reminding of different grades on the danger sources of different grades in real time.

In another optional implementation manner, the obtaining module 71 is specifically configured to obtain road condition data by using a camera on a vehicle, where the road condition data includes a road condition video or a multi-frame road condition image.

The processing module 72 is further configured to process the traffic data to obtain traffic information, where the traffic information includes a position, a speed, a forward direction, and/or a collision time of a traffic element within a preset range of the vehicle, where the traffic element includes a pedestrian, a motor vehicle, a non-motor vehicle, and/or an animal.

In another optional implementation manner, the processing module 72 is specifically configured to determine whether the collision time is less than a preset collision time when the road condition information includes the collision time; if the collision time is less than the preset collision time, judging that a danger source exists in the preset range of the vehicle; and if the collision time is greater than or equal to the preset collision time, judging that no danger source exists in the preset range of the vehicle.

In another optional implementation manner, the processing module 72 is specifically configured to perform target identification on the road condition data, and acquire traffic elements in the road condition data; and acquiring the collision time between each traffic element and the vehicle by using a collision time method.

In another alternative implementation, the processing module 72 is specifically configured to obtain a distance between the traffic element and the vehicle and a relative speed of the traffic element and the vehicle; and calculating the collision time of the vehicle and the traffic element according to the distance between the current traffic element and the vehicle and the relative speed of the traffic element and the vehicle.

In another optional implementation manner, the processing module 72 is specifically configured to determine whether the collision time is less than a first preset time; and if the collision time is less than the first preset time, judging that the grade of the hazard source is a high-risk grade.

In another optional implementation manner, the processing module 72 is specifically configured to determine whether the collision time is greater than a second preset time when the collision time is greater than or equal to a first preset time; if the collision time is greater than the second preset time, judging the grade of the hazard source to be a low-risk grade; and if the collision time is less than or equal to the second preset time, determining that the grade of the hazard source is the medium-risk grade.

In another optional implementation manner, the processing module 72 is specifically configured to, when the level of the hazard source is a high hazard level, broadcast the reminding information for a first number of times at a first loudness, a first preset timbre, a first speech rate, and a first preset number, and a steering wheel or a seat of the vehicle vibrates at a first frequency; when the level of the hazard source is a medium hazard level, the reminding information is broadcasted for several times according to a second loudness, a second preset tone, a second speed of speech and a second preset number, and the steering wheel or the seat of the vehicle vibrates at a second frequency; when the level of the hazard source is a low-risk level, the reminding information is broadcasted for a plurality of times according to a third loudness, a third preset timbre, a third speed of speech and a third preset number, and the steering wheel or the seat of the vehicle vibrates at a third frequency; the reminding information comprises the type, the advancing direction, the speed or the distance between the dangerous source and the vehicle, the first loudness, the second loudness and the third loudness are reduced in sequence, the first speech speed, the second speech speed and the third speech speed are reduced in sequence, and the first frequency, the second frequency and the third frequency are reduced in sequence.

The reminding device 70 for the hazard source provided by this embodiment can realize graded reminding, can make different reminders for different kinds of hazard sources, and not only simply remind the driver of needing to concentrate on attention, but also can remind the driver of safe driving in a more definite manner, thereby improving the driving safety.

In the several embodiments provided in the present application, it should be understood that the disclosed method and apparatus may be implemented in other manners. For example, the above-described apparatus embodiments are merely illustrative, and for example, a division of modules or units is merely a logical division, and an actual implementation may have another division, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed.

Units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the embodiment.

In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units may be integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.

The above embodiments are merely examples, and not intended to limit the scope of the present application, and all modifications, equivalents, and flow charts using the contents of the specification and drawings of the present application, or those directly or indirectly applied to other related arts, are included in the scope of the present application.

Claims

1. A method for reminding a danger source is characterized by comprising the following steps:

acquiring road condition information in real time, and determining a hazard source in a preset range of a vehicle according to the road condition information;

grading the danger source, and determining the grade of the danger source;

and carrying out graded reminding on the danger source according to the grade of the danger source so as to carry out reminding of different grades on the danger source of different grades in real time.

2. The method for reminding a dangerous source according to claim 1, wherein the obtaining of the road condition information in real time comprises:

acquiring road condition data by using a camera on the vehicle, wherein the road condition data comprises a road condition video or a multi-frame road condition image;

and processing the road condition data to obtain the road condition information, wherein the road condition information comprises the position, the speed, the advancing direction and/or the collision time of traffic elements in a preset range of the vehicle, and the traffic elements comprise pedestrians, motor vehicles, non-motor vehicles and/or animals.

3. The method for reminding a dangerous source according to claim 2, wherein when the traffic information includes the collision time, the determining a dangerous source within a preset range of a vehicle according to the traffic information includes:

judging whether the collision time is less than a preset collision time;

if so, judging that a danger source exists in a preset range of the vehicle; and if not, determining that no danger source exists in the preset range of the vehicle.

4. The method for reminding a dangerous source of claim 3, wherein the processing the traffic data to obtain the traffic information comprises:

carrying out target identification on the road condition data to acquire the traffic elements in the road condition data;

5. The method for reminding the danger source according to claim 4, wherein the step of obtaining the collision time between each traffic element and the vehicle by using a collision time method comprises the following steps:

6. The method for reminding the danger source according to any one of claims 2 to 5, wherein the step of classifying the danger source comprises the following steps:

judging whether the collision time is less than a first preset time or not;

and if so, judging the grade of the hazard source to be a high risk grade.

7. The method for reminding a danger source according to claim 6, further comprising:

when the collision time is greater than or equal to the first preset time, judging whether the collision time is greater than a second preset time;

if so, judging the grade of the hazard source to be a low-risk grade; and if not, judging that the grade of the hazard source is the medium-risk grade.

8. The method for reminding the dangerous source according to claim 7, wherein the step of reminding the dangerous source in a grading manner according to the grade of the dangerous source so as to remind the dangerous source in different grades in real time at different grades comprises the following steps:

when the level of the hazard source is the high-risk level, the reminding information is broadcasted for several times according to a first loudness, a first preset tone, a first speed of speech and a first preset number, and a steering wheel or a seat of the vehicle vibrates at a first frequency;

when the level of the hazard source is the medium hazard level, the reminding information is broadcasted for several times according to a second loudness, a second preset tone, a second speed of speech and a second preset number, and the steering wheel or the seat of the vehicle vibrates at a second frequency;

when the level of the dangerous source is the low-risk level, the reminding information is broadcasted for a plurality of times according to a third loudness, a third preset tone, a third speed of speech and a third preset number, and the steering wheel or the seat of the vehicle vibrates at a third frequency;

the reminding information comprises the type, the advancing direction and the speed of the dangerous source or the distance between the dangerous source and the vehicle, the first loudness, the second loudness and the third loudness are sequentially reduced, the first speech rate, the second speech rate and the third speech rate are sequentially reduced, and the first frequency, the second frequency and the third frequency are sequentially reduced.

9. Advanced driving assistance system, characterized in that it comprises a memory and a processor connected to each other, wherein the memory is adapted to store a computer program which, when being executed by the processor, is adapted to carry out the method of alerting a hazard source of any one of claims 1-8.

10. A computer storage medium for storing a computer program, characterized in that the computer program, when being executed by a processor, is adapted to carry out the method of alerting a hazard source of any one of claims 1 to 8.