CN109795407B - Vehicle-mounted intelligent reminding method and device and vehicle - Google Patents
Vehicle-mounted intelligent reminding method and device and vehicle Download PDFInfo
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Abstract
The invention discloses a vehicle-mounted intelligent reminding method which comprises the steps of collecting information of the surrounding environment of a vehicle and analyzing the information; judging whether an early warning target exists in the surrounding environment of the vehicle according to the analysis result, wherein the early warning target is a person and/or a vehicle; and when an early warning target exists in the surrounding environment of the vehicle, sending an early warning prompt to the early warning target. By the method, the early warning prompt can be sent to the early warning target after the early warning target around the vehicle is judged to be present so as to attract the attention of the early warning target, so that the early warning target takes measures to avoid the occurrence of dangerous conditions, and the driving safety of the vehicle is improved. The invention also discloses a vehicle-mounted intelligent reminding device, a computer readable storage medium and a vehicle, which have the technical effects.
Description
Technical Field
The invention relates to the field of traffic safety, in particular to a vehicle-mounted intelligent reminding method, a vehicle-mounted intelligent reminding device, a computer-readable storage medium and a vehicle.
Background
An Advanced Driver Assistance System (ADAS) is a technology that collects environmental data inside and outside a vehicle at a first time by using various sensors mounted on the vehicle, and performs technical processing such as identification, detection, tracking and the like of static and dynamic objects, so that a Driver can perceive a possible danger at the fastest time, thereby drawing attention of the vehicle Driver and improving driving safety.
However, in real life, not all vehicles are equipped with ADAS systems, and pedestrians and non-motor vehicles such as bicycles are hardly equipped with ADAS systems, so that they cannot grasp road condition information and cannot sense the existence of danger in time even if dangerous situations occur. In this case, although the vehicle mounted with the ADAS system can avoid the danger as much as possible by the system, the safety of the vehicle requires not only the attention of the vehicle owner itself but also the attention of other vehicles, pedestrians, and the like, and particularly, the attention of the vehicle and the pedestrian not provided with the ADAS system.
Therefore, how to improve the safety of vehicle driving is an urgent technical problem to be solved by those skilled in the art.
Disclosure of Invention
The invention aims to provide a vehicle-mounted intelligent reminding method, a vehicle-mounted intelligent reminding device, a computer-readable storage medium and a vehicle. After the early warning target exists in the surrounding environment of the vehicle, the early warning prompt is sent to the early warning target to attract the attention of the early warning target, so that the early warning target takes measures to avoid the occurrence of dangerous conditions, and the driving safety of the vehicle is improved.
In order to solve the technical problem, the invention provides a vehicle-mounted intelligent reminding method, which comprises the following steps:
collecting and analyzing information of the surrounding environment of the vehicle;
judging whether an early warning target exists in the surrounding environment of the vehicle according to the analysis result; wherein the early warning target is a person and/or a vehicle;
and when an early warning target exists, sending an early warning prompt to the early warning target.
Preferably, the collecting and analyzing information on the environment around the vehicle includes:
collecting information of the vehicle surroundings;
analyzing, with an ADAS system, the relative positions of the vehicle and objects in the vehicle's surroundings based on the collected information.
Preferably, the determining whether an early warning target exists in the vehicle surrounding environment according to the analysis result includes:
judging whether the relative position is within an early warning range according to the relative position of the vehicle and each object in the surrounding environment of the vehicle;
if the vehicle is in the early warning range, an early warning target exists in the surrounding environment of the vehicle;
and if the target is not in the early warning range, no early warning target exists in the surrounding environment of the vehicle.
Preferably, the sending of the warning prompt to the warning target includes:
utilizing a sound orientation technology to enable a sound early warning device to directionally play the early warning reminder to the early warning target;
or the early warning prompt is displayed to the early warning target through a display or is sent to the early warning target through a directional laser technology;
or when the early warning target is a vehicle, the vehicle-mounted terminal is used for sending the content of the early warning prompt to the early warning target through a network.
Preferably, the content of the early warning reminder includes characteristics of the early warning target.
Preferably, the characteristics of the early warning target include:
if the early warning target is a person, the characteristics of the early warning target comprise the sex and the clothing color of the person;
if the early warning target is a vehicle, the characteristics of the early warning target comprise the type and the color of the vehicle;
if the early warning target is a person and a vehicle, the characteristics of the early warning target comprise the sex and the clothing color of the person and the type and the color of the vehicle.
The invention also provides a computer readable storage medium, wherein a computer program is stored on the computer readable storage medium, and when being executed by a processor, the computer program realizes the steps of the vehicle-mounted intelligent reminding method.
The invention also provides a vehicle-mounted intelligent reminding device, which comprises:
a sensor for collecting information of an environment around the vehicle;
the processor is used for analyzing the information of the surrounding environment of the vehicle, which is collected by the sensor, judging whether an early warning target exists in the surrounding environment of the vehicle, and sending a reminding instruction to the early warning device when the early warning target exists in the surrounding environment of the vehicle;
and the early warning device is used for sending early warning reminding to the early warning target according to the reminding instruction.
Preferably, the early warning device is a sound early warning device, configured to play the early warning reminder to the early warning target or the early warning device is a display, configured to display the early warning reminder to the early warning target or the early warning device is a laser early warning device, and configured to send the early warning reminder to the early warning target through a directional laser technology.
The invention also provides a vehicle, and the vehicle is provided with the vehicle-mounted intelligent reminding device.
The vehicle-mounted intelligent reminding method provided by the invention collects and analyzes the information of the surrounding environment of the vehicle, and sends out early warning reminding to the early warning target when the early warning target exists in the surrounding environment of the vehicle. Since the early warning targets such as pedestrians and bicycles cannot acquire the information of the surrounding environment by themselves, the danger factors in the walking or driving process cannot be known. Therefore, even if the vehicle senses the existence of the danger, the vehicle can not avoid the occurrence of the traffic accident sometimes only by taking measures by the vehicle, and the vehicle sends the danger information to the early warning target after sensing the danger by the method of the invention, and the two sides take measures simultaneously, thereby effectively avoiding the occurrence of the traffic accident and improving the driving safety of the vehicle.
The vehicle-mounted intelligent reminding device, the computer readable storage medium and the vehicle provided by the invention have corresponding technical effects.
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 of the present invention or the prior art will be briefly introduced below, it is obvious that the drawings in the following description are only embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the provided drawings without creative efforts.
Fig. 1 is a schematic flow chart of a method for vehicle-mounted intelligent reminding according to an embodiment of the present invention;
fig. 2 is a schematic diagram of a simple road condition provided by the embodiment of the present invention;
fig. 3 is a schematic view of a vehicle-mounted intelligent reminder device according to an embodiment of the present invention.
Detailed Description
The core of the invention is to provide a vehicle-mounted intelligent reminding method, which is used for judging whether an early warning target exists in the surrounding environment of a vehicle or not after collecting and analyzing the surrounding environment information of the vehicle; when an early warning target exists, an early warning prompt is sent to the early warning target to draw attention of the early warning target, so that the early warning target takes measures to avoid traffic accidents, and the driving safety of vehicles is improved. The invention further provides a vehicle-mounted intelligent reminding device, a computer-readable storage medium and a vehicle.
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention. It is to be understood that the embodiments described are only a few embodiments of the present invention, and not all 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 invention.
Referring to fig. 1, fig. 1 is a schematic flow diagram of a method for vehicle-mounted intelligent reminding according to an embodiment of the present invention, and referring to the schematic flow diagram, the method may include the following steps:
s1: collecting and analyzing information of the surrounding environment of the vehicle;
the information of the surrounding environment of the vehicle is information of the surrounding environment of the current position of the vehicle. The present invention is not particularly limited to the specific contents of the collected information on the surroundings of the vehicle. The setting can be carried out according to the actual requirement. For example, information of pedestrians and information of vehicles in the surroundings of the vehicle, such as the moving direction of the pedestrians, the traveling speed of the vehicle, and the like, may be collected. The invention does not limit the concrete method for collecting and analyzing the vehicle surrounding environment information; the existing collection and analysis method can be used for collection and analysis; for example, the ADAS system may be used for collection and analysis. The above operations can also be completed by other methods, which can be determined according to actual conditions.
Preferably, the collecting and analyzing information on the surroundings of the vehicle includes:
collecting information of a surrounding environment of the vehicle;
analyzing, with an ADAS system, the relative positions of the vehicle and objects in the vehicle's surroundings based on the collected information.
In particular, the present invention is also not particularly limited with respect to the manner in which the relative position of the vehicle and various objects in the environment surrounding the vehicle is analyzed. The movement speed of each object can be obtained through the sensor, and then the relative position between the vehicle and each object can be analyzed according to the movement speed of each object by analyzing the movement speed of each object; the relative position between the vehicle and each object can be analyzed according to the image information at different moments through the image information shot by the camera; the relative position between the vehicle and the objects can of course also be analyzed by other means.
In addition, the invention does not limit the way of collecting the analysis information specifically, and can collect and analyze the analysis information once every a preset time interval; the vehicle can also be continuously collected and analyzed in the running process of the vehicle; or in other ways, the difference can be selected according to the actual situation.
It is important that the method analyzes the information of the vehicle surroundings, and may analyze the characteristics of the pedestrian or the vehicle, such as the sex of the pedestrian or the type of the vehicle, etc., based on the collected information of the vehicle surroundings, in addition to the motion state of the pedestrian in the vehicle surroundings, such as the speed, or the driving state of another vehicle, such as the vehicle speed. And then the target can be reminded and early-warning in a targeted manner according to the characteristics of the vehicle.
S2: judging whether an early warning target exists in the surrounding environment of the vehicle according to the analysis result, wherein the early warning target is a person and/or a vehicle;
specifically, the embodiment does not limit the correspondence between the specific analysis result and the condition of whether the early warning target exists, and the user may set the analysis result according to the actual situation and the specific information in the analysis result corresponding to the specifically selected analysis algorithm. For example, when the analysis result is information corresponding to the relative position of the vehicle and each object in the surrounding environment of the vehicle, the relative position can be used for comparing with a preset early warning range, and then whether an early warning target exists in the early warning range is determined. Since it is usually the case that the vehicle is in an accident with other objects, it depends on whether the distance between the two is within a safe distance at the vehicle speed. Therefore, it is preferable that the judging whether the early warning target exists in the vehicle surroundings according to the analysis result includes:
judging whether the relative positions of the vehicle and each object in the vehicle surrounding environment are within an early warning range or not according to the relative positions of the vehicle and each object in the vehicle surrounding environment;
if the vehicle is in the early warning range, an early warning target exists in the surrounding environment of the vehicle;
if the vehicle is not in the early warning range, the early warning target does not exist in the surrounding environment of the vehicle.
Specifically, on the basis of analyzing the motion state of a pedestrian or the driving states of other vehicles in the vehicle surrounding environment, the driving state of the vehicle is combined to judge whether the relative position of the vehicle and each object in the vehicle surrounding environment at each moment is within the early warning range, and further judge whether a pedestrian or a vehicle needing to be warned exists, namely judge whether an early warning target exists.
Further, different early warning ranges can be set for different types of early warning targets. For example, for a pedestrian, the warning range may be set to a shorter distance relative to the vehicle, such as 50 meters; for vehicles, the warning range may be set to a slightly longer distance, such as 100 meters, because the vehicle moves much faster than a pedestrian.
Further, for the early warning targets of the same category, the early warning range can be further divided more finely. For example, the early warning range may be further divided into different early warning levels; if the early warning range can be divided into 3 early warning levels; in particular, the first warning level may correspond to a shorter warning distance, such as 50 meters; the second warning level may correspond to 80 meters; the third warning level may correspond to 100 meters. The specific division mode and the division standard can be selected according to the actual situation.
Further, when the relative position between each object in the vehicle and the surrounding environment of the vehicle is at different early warning levels, an early warning reminder corresponding to the early warning level can be sent out according to the difference of the early warning levels. For example, when the relative position between the vehicle and the early warning target is within the early warning range of 50 meters, which is the first early warning level, it is indicated that the relative position between the vehicle and the early warning target is very dangerous, so that only similar early warning reminders such as "pay attention to danger" can be sent, and the characteristics of the early warning target do not need to be specifically indicated, so as to reduce the time of the early warning reminder, so that the early warning target receives the early warning reminder in time, and the occurrence of accidents is avoided. When the relative position between the vehicle and the early warning target is within the early warning range of the third early warning level, namely 100 meters, the early warning reminder containing the characteristics of the early warning target can be sent out. The specific property can be determined according to actual needs, and the application is not particularly limited.
Referring to fig. 2, fig. 2 is a schematic diagram of a simple road condition provided in this embodiment. The broken line with an arrow in the figure indicates the speed of the pedestrian or the vehicle, the magnitude of the speed is indicated by the length of the broken line, and the longer the broken line indicates the greater the speed; conversely, a shorter dashed line indicates a lower velocity. The direction of the velocity is then indicated by the direction of the arrow. For ease of understanding, the vehicle a is taken as the subject of the method of the present invention and the direction of travel of the vehicle a is specified to be the due north direction. As can be seen from fig. 2, the surroundings of the current position of the vehicle a include a vehicle B behind the vehicle a in the same traveling direction as the vehicle a, a bicycle and a motorcycle traveling from west to east, and a pedestrian moving from north to south. At this time, whether the relative position between the vehicle a and the pedestrian is within the early warning range or not can be determined by combining the driving direction and the speed of the vehicle a with the moving direction of the pedestrian, namely, whether the vehicle a and the pedestrian are in collision danger or not can be determined. If there is a danger of collision, the pedestrian is now an early warning target for vehicle a. Also for the vehicle B, if the relative position between the vehicle B and the vehicle a is within the warning range, that is, two vehicles may have rear-end collision, the vehicle B is the warning target for the vehicle a at this time.
S3: when an early warning target exists, sending an early warning prompt to the early warning target;
in a complex vehicle running surrounding environment, one early warning target may exist, or a plurality of early warning targets may exist. When only one early warning target exists, the early warning reminding only needs to be sent to the early warning target, and when a plurality of early warning targets exist, the early warning reminding needs to be sent to each early warning target. Specifically, early warning reminders can be sequentially sent to the early warning targets according to the time of danger occurrence; the early warning reminding can be sent to each early warning target in sequence from heavy to light according to the severity of the danger; and on the basis of dividing the early warning level of the early warning range, the early warning reminding can be sent to the early warning target according to the level sequence. Of course, it is best to send out early warning reminders to all early warning targets simultaneously on the premise of meeting practical allowance. The present invention can be determined by actual conditions, and the present invention is not limited herein.
In addition, the early warning reminding modes sent to the early warning targets can be different, and the specific early warning reminding modes can be set reasonably according to different early warning targets and different road management requirements in combination with actual conditions. The method can adopt a voice playing mode to send out early warning reminding to an early warning target, and the early warning device in the mode can be a loudspeaker or other generating devices; the early warning reminding can also be sent to the early warning target in a text display mode, and the early warning target can obtain the early warning reminding by reading the text. Of course, other pre-warning reminding modes are also possible, for example, the pre-warning reminding can be sent to the pre-warning target by emitting laser; or the content of the early warning prompt is sent to the early warning target through the network, and the method is more suitable for the condition that the early warning target is a vehicle; no matter which way is adopted, the aim of sending early warning reminding to the early warning target and enabling the early warning target to know the early warning reminding can be achieved.
It is worth noting that when the early warning prompt is sent to the early warning target in a voice playing mode, the current position of the vehicle may have a limit requirement on the decibel size of the sound, so that when the early warning prompt is carried out through voice, the early warning prompt can be sent to the early warning target by selecting proper volume according to the distance between the vehicle and the early warning target. For example, if the distance from the early warning target is far, the volume can be moderately increased; if the distance between the early warning target and the target is close, the volume can be properly reduced. The selection can be made in combination with the actual condition, and the early warning target can hear the early warning prompt while the limit requirement of sound decibel size is met.
In addition, the content of the early warning reminder may only include warning content, such as "caution and danger", "attention to vehicle distance", and the like; the content of the early warning reminding can be added on the basis of the content so as to achieve better effect of the early warning reminding. For example, the content of the early warning reminder may include characteristics of the early warning target.
In order to make the early warning target aware that the early warning target is the early warning target in time, the content of early warning reminding can be increased. For example, it may be information that clearly enables the early warning target to perceive that the reminder is for him. For example, pedestrians or vehicles can be added in the early warning reminding content to distinguish early warning targets. Or more specific characteristic information is added into the early warning reminding content to more finely distinguish the early warning targets, so that whether the early warning targets are the early warning targets or not can be clearly known according to the characteristics in the early warning reminding. Therefore, preferably, the content of the early warning reminder includes characteristics of the early warning target.
Specifically, the characteristics of the early warning target may include many aspects, and the acquisition of the characteristics of each aspect may be determined according to actual needs. That is, when collecting and analyzing information on the vehicle surroundings, it is possible to collect information on a desired feature and analyze the feature, and it is not necessary to collect and analyze an undesired feature. In addition, the feature type and the number of the early warning targets of different types may also be determined according to actual needs, and are not specifically limited herein.
Preferably, the characteristics of the early warning target include:
if the early warning target is a person, the characteristics of the early warning target comprise the sex and the clothing color of the person;
if the early warning target is a vehicle, the characteristics of the early warning target comprise the type and the color of the vehicle;
if the early warning target is a person and a vehicle, the characteristics of the early warning target comprise the sex and the clothing color of the person and the type and the color of the vehicle.
At this time, the content of the early warning reminder can be ' girls wearing red clothes with ponytail, paying attention to safety ', ' rear black baby carriage, paying attention to vehicle distance ', ' boys riding bicycles and wearing white short sleeves ', being careful and dangerous ', and the like.
It should be noted that the more detailed the features of the early warning target included in the early warning reminder, the more easily the early warning target will be noticed. However, the more the content included in the early warning reminder, the longer the time required to be played or displayed, so that a situation that the early warning reminder is not timely acquired by the early warning target and is dangerous may occur. Therefore, whether the content of the early warning reminder contains the characteristics of the early warning target and the number of the included characteristics of the early warning target can be determined according to the distance between the content of the early warning reminder and the early warning target. For example, if the distance from the early warning target is relatively close, only the warning reminding content such as "caution danger" and the like can be included, but the characteristics of the early warning target, such as "caution danger"; if remote from the pre-warning target, multiple features of the pre-warning target may be included, such as "little girl of zamac cauda is cautious". In some emergency situations, the system can only send out sounds such as 'horn' and the like to draw attention to the early warning target.
S4: and when the early warning target does not exist, the processing is not carried out.
In summary, the vehicle-mounted intelligent reminding method provided by the invention collects and analyzes information of surrounding environment, and sends out early warning reminding to the early warning target when the early warning target exists in the surrounding environment. Since the early warning targets such as pedestrians and bicycles cannot acquire the information of the surrounding environment by themselves, the danger factors in the walking or driving process cannot be known. Therefore, even if the vehicle senses the existence of the danger, the vehicle can not avoid the occurrence of the traffic accident sometimes only by taking measures by the vehicle, and the vehicle sends the danger information to the early warning target after sensing the danger by the method of the invention, and the two sides take measures simultaneously, thereby effectively avoiding the occurrence of the traffic accident and improving the driving safety of the vehicle.
As a preferred embodiment, the sending of the warning reminder to the warning target may include:
the method comprises the steps that a sound early warning device is enabled to directionally play early warning prompts to an early warning target by utilizing a sound directional technology, or the early warning prompts are displayed to the early warning target through a display, or the early warning prompts are sent to the early warning target through a directional laser technology, or when the early warning target is a vehicle, the content of the early warning prompts is sent to the early warning target through a network by utilizing a vehicle-mounted terminal.
Specifically, the sound early warning device is enabled to directionally play the early warning prompt to the early warning target by utilizing a sound directional technology, and the sound early warning device can be adjusted to the direction of the early warning target. When the number of the early warning targets is more than one, a plurality of sound early warning devices can be adopted to respectively adjust the direction of the corresponding early warning target, and then the sound directional technology is utilized to carry out voice reminding on each early warning target; or a sound early warning device can be adopted, the direction of each early warning target is sequentially adjusted according to the sequence, and the voice reminding is carried out on the early warning targets by utilizing the sound directional technology. Or other ways can be adopted, and the details can be determined according to actual needs. The method adopts the targeted early warning mode, namely the voice early warning device is adjusted to the direction of the early warning target before the early warning prompt is sent out, then the early warning prompt is directionally played to the early warning target by utilizing the voice directional technology, so that the influence on other vehicles and pedestrians except the early warning target in the surrounding environment can be reduced, and meanwhile, the early warning target can more easily and clearly acquire the content of the early warning prompt because the voice is intensively transmitted to the early warning target.
Further, although the early warning target can acquire the early warning prompt under most conditions by directionally carrying out voice prompt on the early warning target, some factors inevitably exist to cause the early warning target to be unable to acquire the early warning prompt, for example, the early warning prompt cannot be acquired due to interference of other sounds. Therefore, the early warning prompt can be displayed to the early warning target through the LED display screen, and the early warning target can acquire the content of the early warning prompt through the display screen. Especially for the early warning target behind the vehicle, the content of the early warning prompt on the display screen can be read more conveniently. In addition, the brightness of the display screen can be adjusted according to the light intensity of the direction in which the early warning target is located. For example, if the light in the direction of the early warning target is strong, the brightness of the display screen can be increased, so that the early warning target can clearly see the early warning reminding content on the display screen. The display is used for displaying the early warning prompt to the early warning target, and even in a noisy environment or when music is played in a motor vehicle and the voice prompt is not easy to receive, the early warning target can still obtain the early warning prompt.
Furthermore, when the early warning prompt is sent to the early warning target through the directional laser technology, the early warning target can be noticed by directionally emitting laser or laser projection to the early warning target, so that the early warning target takes measures to avoid accidents. For different driving environments, the intensity of the laser can be adjusted according to the intensity of the light in the environment; the color of the laser light can also be changed according to different environments. For example, if there is greenish vegetation in the environment, a color that is noticeable in the environment, such as red, may be selected. In addition, the early warning target can be noticed by means of laser flashing. The early warning prompt is sent to the early warning target by utilizing the characteristic of high light propagation speed, so that the attention of the early warning target can be timely aroused, the early warning target can take measures to avoid traffic accidents, and the effect of not interfering other pedestrians or vehicles can be achieved.
Further, when the early warning target is a vehicle, the content of early warning reminding is sent to the early warning target through the network. The content of the early warning reminder can be sent to the early warning target through a network such as the internet of vehicles which are communicated with each other. If the early warning targets are a plurality of vehicles, the corresponding early warning reminding content can be sent to each vehicle at the same time. The network is utilized to send the content of the early warning prompt to the early warning target, and the aim of the early warning prompt can be conveniently and rapidly achieved on the basis of not increasing the hardware cost. The network can be the Internet of vehicles, and the utilization rate of the existing network can be improved by transmitting the early warning reminding content through the Internet of vehicles. Furthermore, the reminding mode cannot influence other external pedestrians or vehicles, and the pertinence is stronger.
The early warning reminding modes have advantages, and the early warning reminding mode can be independently adopted, and the optimal mode can be selected for early warning reminding by combining the early warning reminding modes. For example, the above preferred warning reminding manner may be combined to perform both voice reminding and text display on the warning target. The detailed process of voice reminding and text display can refer to the above description, and is not described herein again. The voice reminding and the character display are used together, and the advantages of the voice reminding and the advantages of the character display are complementary, so that the early warning target can obtain the content of the early warning reminding more timely and conveniently, and measures are taken to avoid traffic accidents. The specific combination can be determined in accordance with the actual situation, and the present invention is not particularly limited.
The invention also provides a vehicle-mounted intelligent reminding device, and the purpose of improving the driving safety of the vehicle can be realized by utilizing the device.
The following describes the vehicle-mounted intelligent reminding device provided by the invention, and the device described below can be referred to in correspondence with the vehicle-mounted intelligent reminding method described above.
Referring to fig. 3, fig. 3 is a schematic view of a vehicle-mounted intelligent reminding device according to an embodiment of the present invention, and as can be seen from fig. 3, the device includes a sensor 1, a processor 2, and an early warning device 3.
Wherein, the sensor 1 is used for collecting the information of the surrounding environment; the processor 2 is used for analyzing the information of the surrounding environment collected by the sensor 1, judging whether an early warning target exists in the surrounding environment, and sending a reminding instruction to the early warning device 3 when the early warning target exists in the surrounding environment; the early warning device 3 is used for sending early warning reminding to the early warning target according to the reminding instruction.
The specific form of the sensor is not limited in the present invention, and may be a camera, a millimeter wave radar, a laser radar, or the like. For example, the determination may be made based on the original parameters required by the subsequently selected analysis algorithm.
Preferably, the early warning device 3 is specifically a sound early warning device, is used for playing an early warning prompt to an early warning target, or the early warning device 3 is specifically a display, is used for displaying the early warning prompt to the early warning target, or the early warning device 3 is specifically a laser early warning device, and is used for sending the early warning prompt to the early warning target through a directional laser technology.
The invention also provides a computer readable storage medium, wherein a computer program is stored on the computer readable storage medium, and the steps of the vehicle-mounted intelligent reminding method can be realized when the computer program is executed by a processor. The detailed steps are not described herein, and reference may be made to the above-described method.
The invention also provides a vehicle which is provided with the vehicle-mounted intelligent reminding device. The description of the vehicle-mounted intelligent reminding device can be specifically referred to, and is not repeated here. The position of the device on the vehicle is not particularly limited, and the device can be selected according to actual requirements under the condition of meeting the actual requirements.
The embodiments are described in a progressive manner in the specification, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments are referred to each other. The device, the computer readable storage medium and the vehicle disclosed by the embodiment correspond to the method disclosed by the embodiment, so that the description is simple, and the relevant points can be referred to the method part for description.
Those of skill would further appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, computer software, or combinations of both, and that the various illustrative components and steps have been described above generally in terms of their functionality in order to clearly illustrate this interchangeability of hardware and software. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
The steps of a method or algorithm described in connection with the embodiments disclosed herein may be embodied directly in hardware, in a software module executed by a processor, or in a combination of the two. A software module may reside in Random Access Memory (RAM), memory, Read Only Memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art.
The method, the device, the computer-readable storage medium and the vehicle for vehicle-mounted intelligent reminding provided by the invention are described in detail above. The principles and embodiments of the present invention are explained herein using specific examples, which are presented only to assist in understanding the method and its core concepts. It should be noted that, for those skilled in the art, it is possible to make various improvements and modifications to the present invention without departing from the principle of the present invention, and those improvements and modifications also fall within the scope of the claims of the present invention.
Claims (6)
1. A vehicle-mounted intelligent reminding method is characterized by comprising the following steps:
collecting and analyzing information of the surrounding environment of the vehicle;
judging whether an early warning target exists in the surrounding environment of the vehicle according to the analysis result; wherein the early warning target is a person and/or a vehicle; the vehicle is other than the vehicle;
when an early warning target exists in the surrounding environment of the vehicle, sending an early warning prompt to the early warning target;
the content of the early warning reminder comprises the characteristics of the early warning target;
the characteristics of the early warning target include:
if the early warning target is a person, the characteristics of the early warning target comprise the sex and the clothing color of the person;
if the early warning target is a vehicle, the characteristics of the early warning target comprise the type and the color of the vehicle;
if the early warning target is a person and a vehicle, the characteristics of the early warning target comprise the sex and the clothing color of the person and the type and the color of the vehicle;
the sending of the early warning prompt to the early warning target comprises:
utilizing a sound orientation technology to enable a sound early warning device to directionally play the early warning reminder to the early warning target;
or the early warning prompt is displayed to the early warning target through a display or is sent to the early warning target through a directional laser technology;
or when the early warning target is a vehicle, the vehicle-mounted terminal is used for sending the content of the early warning prompt to the early warning target through a network.
2. The method of claim 1, wherein collecting and analyzing information about the vehicle surroundings comprises:
collecting information of the vehicle surroundings;
analyzing, with an ADAS system, the relative positions of the vehicle and objects in the vehicle's surroundings based on the collected information.
3. The vehicle-mounted intelligent reminding method according to claim 2, wherein the judging whether the early warning target exists in the vehicle surrounding environment according to the analysis result comprises:
judging whether the relative position is within an early warning range according to the relative position of the vehicle and each object in the surrounding environment of the vehicle;
if the vehicle is in the early warning range, an early warning target exists in the surrounding environment of the vehicle;
and if the target is not in the early warning range, no early warning target exists in the surrounding environment of the vehicle.
4. A computer-readable storage medium, wherein a computer program is stored on the computer-readable storage medium, and when being executed by a processor, the computer program implements the steps of the vehicle-mounted intelligent reminding method according to any one of claims 1 to 3.
5. The utility model provides a device that on-vehicle intelligence was reminded which characterized in that includes:
a sensor for collecting information of an environment around the vehicle;
the processor is used for analyzing the information of the surrounding environment of the vehicle, which is collected by the sensor, and judging whether an early warning target exists in the surrounding environment of the vehicle according to the analysis result; when an early warning target exists in the surrounding environment of the vehicle, a reminding instruction is sent to an early warning device;
the early warning device is used for sending early warning reminding to the early warning target according to the reminding instruction;
the content of the early warning reminder comprises the characteristics of the early warning target;
the characteristics of the early warning target include:
if the early warning target is a person, the characteristics of the early warning target comprise the sex and the clothing color of the person;
if the early warning target is a vehicle, the characteristics of the early warning target comprise the type and the color of the vehicle;
if the early warning target is a person and a vehicle, the characteristics of the early warning target comprise the sex and the clothing color of the person and the type and the color of the vehicle;
the early warning device is specifically a sound early warning device and is used for playing the early warning prompt to the early warning target; or the early warning device is specifically a display and is used for displaying the early warning prompt to the early warning target; or the early warning device is specifically a laser early warning device and is used for sending the early warning prompt to the early warning target through a directional laser technology.
6. A vehicle, characterized in that the vehicle is provided with the on-board intelligent reminding device according to claim 5.
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| CN112550282A (en) * | 2019-09-09 | 2021-03-26 | 大陆泰密克汽车系统（上海）有限公司 | Warning method and warning system for motor vehicle |
| CN110920518A (en) * | 2019-10-29 | 2020-03-27 | 苏州风正帆智能科技有限公司 | Early warning system based on internet of things |
| CN112758089A (en) * | 2019-11-05 | 2021-05-07 | 深圳市大富科技股份有限公司 | Voice reminding method, advanced driving assistance system and computer storage medium |
| CN111976593A (en) * | 2020-08-21 | 2020-11-24 | 大众问问(北京)信息科技有限公司 | Voice prompt method, device, equipment and storage medium for vehicle external object |
| CN112124194A (en) * | 2020-08-24 | 2020-12-25 | 贵阳清文云科技有限公司 | Driving safety warning system |
| CN112193153A (en) * | 2020-09-28 | 2021-01-08 | 符译丹 | External early warning system of car and car |
| CN114312559B (en) * | 2021-12-28 | 2023-01-31 | 东风柳州汽车有限公司 | Vehicle driving reminding method, device, equipment and storage medium |
| CN114973652A (en) * | 2022-04-22 | 2022-08-30 | 岚图汽车科技有限公司 | Visual blind area reminding method and system, electronic equipment and storage medium |
| CN115410394A (en) * | 2022-08-01 | 2022-11-29 | 江苏航天大为科技股份有限公司 | Internet of vehicles is with dangerous early warning reminding device of big data analysis |
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