CN110718082B - Sound-based vehicle alarm method and device - Google Patents

Sound-based vehicle alarm method and device Download PDF

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CN110718082B
CN110718082B CN201910947465.0A CN201910947465A CN110718082B CN 110718082 B CN110718082 B CN 110718082B CN 201910947465 A CN201910947465 A CN 201910947465A CN 110718082 B CN110718082 B CN 110718082B
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CN110718082A (en
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刘均
柴勇
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Shenzhen Launch Technology Co Ltd
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    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/09—Arrangements for giving variable traffic instructions
    • G08G1/0962—Arrangements for giving variable traffic instructions having an indicator mounted inside the vehicle, e.g. giving voice messages
    • G—PHYSICS
    • G08—SIGNALLING
    • G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B25/00—Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems
    • G08B25/008—Alarm setting and unsetting, i.e. arming or disarming of the security system
    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/123—Traffic control systems for road vehicles indicating the position of vehicles, e.g. scheduled vehicles; Managing passenger vehicles circulating according to a fixed timetable, e.g. buses, trains, trams
    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/16—Anti-collision systems

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Abstract

The embodiment of the application provides a vehicle alarm method and device based on sound, wherein the vehicle alarm method based on sound can comprise the following steps: determining a distance between the target object and each of the plurality of vehicle-mounted radars; determining a target volume corresponding to each target loudspeaker in a plurality of target loudspeakers according to the distance and a preset sound model, wherein the plurality of target loudspeakers correspond to the plurality of vehicle-mounted radars one by one; and playing sound through the target loudspeakers according to the target volume corresponding to each target loudspeaker. According to the embodiment of the application, radar detection can be combined, the target objects around the target vehicle are located by synthesizing the azimuth sounds through the plurality of azimuth sound generators, other display equipment is not needed for assistance, and potential safety hazards in the driving process are avoided.

Description

Sound-based vehicle alarm method and device
Technical Field
The application relates to the technical field of Internet of vehicles, in particular to a sound-based vehicle alarm method and device.
Background
With the development of society, more and more vehicles run on roads. During the driving process of the automobile, a driver often uses a rear-view mirror or other display device to determine the position change between objects around the automobile and the automobile to assist the normal and safe driving of the automobile, but when the target object is in a blind area of the driver's sight, the position of the target object cannot be accurately confirmed only by means of the display device. According to the existing technical scheme, a driver can be prompted whether a target object is on the left or right of a vehicle through the left and right alarm units in the vehicle, and meanwhile, an indicator lamp is possibly used for assistance. However, this type of presentation cannot clearly present whether the target object is at the front left or rear left of the vehicle, how far the target object is from the vehicle, and the like.
Therefore, how to more accurately prompt the position of the target object without the help of a display device is an urgent problem to be solved.
Disclosure of Invention
In view of the above, the present application is directed to providing a sound-based vehicle warning method and apparatus that overcomes or at least partially solves the above-mentioned problems.
In a first aspect, an embodiment of the present application provides a sound-based vehicle alarm method, which may include:
determining a distance between the target object and each of the plurality of vehicle-mounted radars;
determining a target volume corresponding to each target loudspeaker in a plurality of target loudspeakers according to the distance and a preset sound model, wherein the plurality of target loudspeakers correspond to the plurality of vehicle-mounted radars one by one;
and playing sound through the target loudspeakers according to the target volume corresponding to each target loudspeaker.
By the method provided by the first aspect, the distance between the target object and each vehicle-mounted radar in the plurality of vehicle-mounted radars can be determined; then determining a target volume corresponding to each target loudspeaker in a plurality of target loudspeakers according to the distance and a preset sound model, wherein the plurality of target loudspeakers correspond to the plurality of vehicle-mounted radars one by one; and finally, playing sound through the target loudspeakers according to the target volume corresponding to each target loudspeaker. The distance between the target object and different vehicle-mounted radars on the target vehicle is determined by combining radar detection, the direction of the target object is determined, and the problems of how far the target object is from the vehicle, the approaching degree and the like can be determined. Secondly, the target objects around the target vehicle are positioned by synthesizing the azimuth sounds through the plurality of azimuth sound generators, the position of the target objects is more accurately prompted under the condition that the assistance of other display equipment is not needed, and the potential driving safety hazard is avoided possibly being brought in the observation process.
In one possible implementation, the determining the distance between the target object and each of the plurality of vehicle-mounted radars includes: judging whether the distance between the target object and the target vehicle is within a preset maximum distance range or not; if yes, determining the distance between the target object and each vehicle-mounted radar in the plurality of vehicle-mounted radars according to the plurality of vehicle-mounted radars on the target vehicle.
In a possible implementation manner, the preset acoustic model is:
Figure BDA0002220772330000021
Figure BDA0002220772330000022
wherein, SoundpSound, being the target volumemaxThe method comprises the steps of setting a preset maximum volume of a plurality of target loudspeakers, setting d _ p as the distance between a target object and a vehicle-mounted radar, setting d as the preset maximum distance between the target object and a target vehicle, setting the maximum distance as the upper limit of the preset distance range, setting x as 0.5 times of the vehicle width of the target vehicle, and setting y as 0.5 times of the vehicle length of the target vehicle.
In one possible implementation, the method further includes: determining a distance variation trend between the target object and each of the plurality of vehicle-mounted radars within a preset time period; and controlling the target loudspeakers to play the sound according to the corresponding sound frequency according to the distance change trend and the mapping relation between the distance change trend and the sound frequency.
In one possible implementation, the distance variation trend includes: one or more of a fast decrease, a fast away increase, a slow decrease and a slow increase away, wherein the fast decrease corresponds to a sound frequency that is greater than the slow increase away, and the slow increase away corresponds to a sound frequency that is greater than the fast increase away.
In a second aspect, the present application provides a sound-based vehicle warning device, which is characterized by comprising:
a first determination unit configured to determine a distance between a target object and each of a plurality of vehicle-mounted radars;
the second determining unit is used for determining the target volume corresponding to each target loudspeaker in a plurality of target loudspeakers according to the distance and a preset sound model, wherein the target loudspeakers correspond to the vehicle-mounted radars one by one;
and the first playing unit is used for playing sound through the target loudspeakers according to the target volume corresponding to each target loudspeaker.
In a possible implementation manner, the first determining unit is specifically configured to: judging whether the distance between the target object and the target vehicle is within a preset distance range or not; if yes, determining the distance between the target object and each vehicle-mounted radar in the plurality of vehicle-mounted radars according to the plurality of vehicle-mounted radars on the target vehicle.
In a possible implementation manner, the preset acoustic model is:
Figure BDA0002220772330000031
Figure BDA0002220772330000032
wherein, SoundpSound, being the target volumemaxThe method comprises the steps of setting a preset maximum volume of a plurality of target loudspeakers, setting d _ p as the distance between a target object and a vehicle-mounted radar, setting d as the preset maximum distance between the target object and a target vehicle, setting the maximum distance as the upper limit of the preset distance range, setting x as 0.5 times of the vehicle width of the target vehicle, and setting y as 0.5 times of the vehicle length of the target vehicle.
In one possible implementation, the apparatus further includes: a third determining unit, configured to determine a distance variation trend between the target object and each of the plurality of vehicle-mounted radars within a preset time period; and the second playing unit is used for controlling the target loudspeakers to play the sound according to the distance change trend and the mapping relation between the distance change trend and the sound frequency.
In one possible implementation, the distance variation trend includes: one or more of a fast decrease, a fast away increase, a slow decrease and a slow increase away, wherein the fast decrease corresponds to a sound frequency that is greater than the slow increase away, and the slow increase away corresponds to a sound frequency that is greater than the fast increase away.
In a third aspect, an embodiment of the present application provides an intelligent vehicle, which is characterized by comprising one or more processors, a memory, a plurality of vehicle-mounted radars, and a plurality of target horns, where the target horns correspond to the vehicle-mounted radars one to one;
the memory, the plurality of vehicle-mounted radars, the plurality of target horns, and the one or more processors, the memory to store computer program code, the computer program code comprising computer instructions;
the plurality of vehicle-mounted radars are used for measuring the distance between the vehicle-mounted radars and a target object;
the one or more processors execute the computer instructions to perform:
determining a distance between the target object and each of a plurality of vehicle-mounted radars;
determining a target volume corresponding to each target loudspeaker in a plurality of target loudspeakers according to the distance and a preset sound model, wherein the plurality of target loudspeakers correspond to the plurality of vehicle-mounted radars one by one;
and playing sound through the target loudspeakers according to the target volume corresponding to each target loudspeaker.
In one possible implementation manner, when the processor is configured to determine a distance between the target object and each of the plurality of vehicle-mounted radars, the processor is specifically configured to: judging whether the distance between the target object and the target vehicle is within a preset distance range or not; if yes, determining the distance between the target object and each vehicle-mounted radar in the plurality of vehicle-mounted radars according to the plurality of vehicle-mounted radars on the target vehicle.
In a possible implementation manner, the preset acoustic model is:
Figure BDA0002220772330000041
Figure BDA0002220772330000042
wherein, SoundpSound, being the target volumemaxA preset maximum volume, d, for the plurality of target loudspeakerspThe method comprises the steps of calculating the distance between a target object and a vehicle-mounted radar, wherein d is a preset maximum distance, the maximum distance is the upper limit of the preset distance range, x is the vehicle width which is 0.5 times of that of the target vehicle, and y is the vehicle length which is 0.5 times of that of the target vehicle.
In one possible implementation, the processor is further configured to: determining a distance variation trend between the target object and each of the plurality of vehicle-mounted radars within a preset time period; and controlling the target loudspeakers to play the sound according to the corresponding sound frequency according to the distance change trend and the mapping relation between the distance change trend and the sound frequency.
In one possible implementation, the distance variation trend includes: one or more of a fast decrease, a fast increase, a slow decrease, and a slow increase, wherein the fast decrease corresponds to a sound frequency that is greater than the slow increase corresponds to a sound frequency that is greater than the fast increase corresponds to a sound frequency.
In a fourth aspect, the embodiment of the application provides a sound-based vehicle alarm device, which comprises a storage component, a processing component and a communication component, wherein the storage component is used for storing a computer program, and the communication component is used for performing information interaction with an external device; the processing component is configured to invoke the computer program to execute the method according to the first aspect, which is not described herein again
In a fifth aspect, the present embodiment provides a computer-readable storage medium, where a computer program is stored in the computer-readable storage medium, and the computer program is executed by a processor to implement the method of the first aspect.
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In order to more clearly illustrate the technical solutions in the embodiments or the background art of the present application, the drawings required to be used in the embodiments or the background art of the present application will be described below.
FIG. 1 is a schematic diagram of an architecture of a sound-based vehicle warning system provided by an embodiment of the present application;
FIG. 2A is a schematic diagram of a process flow of a sound-based vehicle warning method provided by an embodiment of the present application;
FIG. 2B is a schematic illustration of a target vehicle provided by an embodiment of the present application;
FIG. 2C is a schematic diagram of an application scenario of a sound-based vehicle warning method according to an embodiment of the present application;
FIG. 3 is a schematic diagram of another sound-based vehicle warning method flow provided by an embodiment of the present application;
FIG. 4 is a schematic structural diagram of an acoustic-based vehicle warning device according to an embodiment of the present application;
FIG. 5 is a schematic structural diagram of another sound-based vehicle warning device provided by an embodiment of the present application;
fig. 6 is an intelligent vehicle provided in an embodiment of the present application.
Detailed Description
The embodiments of the present application will be described below with reference to the drawings.
The terms "first," "second," and "third," etc. in the description and claims of this application and in the accompanying drawings are used for distinguishing between different objects and not for describing a particular order. Furthermore, "include" and "have" and any variations thereof, are intended to cover non-exclusive inclusions. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not limited to only those steps or elements listed, but may alternatively include other steps or elements not listed, or inherent to such process, method, article, or apparatus.
Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the application. The appearances of the phrase in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. It is explicitly and implicitly understood by one skilled in the art that the embodiments described herein can be combined with other embodiments.
As used in this application, the terms "server," "unit," "system," and the like are intended to refer to a computer-related entity, either hardware, firmware, a combination of hardware and software, or software in execution. For example, a server may be, but is not limited to, a processor, a data processing platform, a computing device, a computer, two or more computers, and the like.
First, some terms in the present application are explained so as to be easily understood by those skilled in the art.
(1) A Central Processing Unit (CPU) is an arithmetic core and a control core of a computer, which were introduced in 1971, and is a final execution Unit for information Processing and program operation. The CPU includes an arithmetic logic unit, a register unit, a control unit, and the like, and has functions of processing instructions, performing operations, controlling time, processing data, and the like. Since its production, it has made great development in logic structure, operation efficiency and function extension.
(2) Vehicle-mounted radars, also known as automotive radars, are, as the name implies, radars for automobiles or other ground-based motor vehicles. It therefore comprises various radars based on different technologies (e.g. laser, ultrasound, microwave), with different functions (e.g. finding obstacles, predicting collisions, adaptive cruise control) and using different operating principles (e.g. pulse radar, FMCW radar, microwave impact radar). Microwave radars are of commercial importance in automotive radars.
(3) The horn and the horn are divided into several different musical instruments, namely a wind instrument which is thin at the top and thick at the bottom and is made of copper. The other is a modern electro-acoustic element, which functions to convert electrical signals into sound, also called a loudspeaker. Loudspeaker in this application is exactly an electric energy conversion to a conversion equipment of sound, and when different electronic energy passed to the coil, the coil produced the magnetic field interaction of an energy and magnet, and this kind of interaction causes the paper dish vibration, because electronic energy changes at any time, the coil of loudspeaker can be forward or backward motion, so the paper dish of loudspeaker will follow the motion, and this action makes the density degree of air produce the change and produce sound.
Next, a sound-based vehicle alarm system architecture on which the embodiments of the present application are based will be described. Referring to fig. 1, fig. 1 is a schematic diagram of an architecture of a sound-based vehicle alarm system according to an embodiment of the present application, including: a sound-based vehicle warning device 101, a target object 102, and a target vehicle 103.
Among other things, the sound-based vehicle warning device 101 may be a device or module that provides computing services. The system can respond to the service request and perform data processing, and can also undertake related communication services and guarantee the capability of the service. The sound-based vehicle alert device 101 may be a third party server, a processor or processing module connected to the target vehicle. The sound-based vehicle alarm device 101 is connected to the target vehicle 102 by wireless or wired communication. For example: when the sound-based vehicle warning device 101 is a server, the sound-based vehicle warning device 101 may determine a distance between the target object and each of the plurality of vehicle-mounted radars; determining a target volume corresponding to each target loudspeaker in the target loudspeakers according to the distance and a preset sound model, wherein the target loudspeakers correspond to the vehicle-mounted radars one by one; and playing sound through a plurality of target loudspeakers according to the target volume corresponding to each target loudspeaker.
The target vehicle 103 may be an intelligent vehicle integrating functions of environmental perception, planning decision, multi-level auxiliary driving and the like, and the intelligent vehicle integrates technologies such as computer, modern sensing, information fusion, communication, artificial intelligence, automatic control and the like, and is a typical high and new technology complex. The target vehicle 103 may include a plurality of on-board radars and a plurality of target horns, wherein the plurality of target horns correspond one-to-one to the plurality of on-board radars. The plurality of vehicle-mounted radars are used for measuring the distance between the vehicle-mounted radars and a target object; the plurality of target speakers are used to play sound at a volume determined by the sound-based vehicle warning device 101.
It is also understood that the sound-based vehicle warning system architecture of fig. 1 is only a partial exemplary implementation in the embodiments of the present application, and the sound-based vehicle warning system architecture in the embodiments of the present application includes, but is not limited to, the above sound-based vehicle warning system architecture.
Referring to fig. 2A, fig. 2A is a schematic diagram of a flow of a sound-based vehicle warning method according to an embodiment of the present application. Applicable to the system of fig. 1 described above, will be described below in connection with fig. 2A from a single side of the sound-based vehicle warning device 101. The method may include the following steps S201 to S203.
Step S201: a distance between the target object and each of the plurality of vehicle-mounted radars is determined.
In particular, a sound-based vehicle warning device needs to determine a distance between a target object and each of a plurality of vehicle-mounted radars. The positions of the plurality of vehicle-mounted radars on the target vehicle are not the same. For example: referring to fig. 2B, fig. 2B is a schematic diagram of a target vehicle according to an embodiment of the present application. When the number of the vehicle-mounted radars is 4, the 4 vehicle-mounted radars may be respectively in front of, behind, left of, and right of the target vehicle. Therefore, the sound-based vehicle alarm device needs to determine the distance between each of the plurality of vehicle-mounted radars and the target object, respectively.
Step S202: and determining the target volume corresponding to each target loudspeaker in the target loudspeakers according to the distance and the preset sound model.
Specifically, the sound-based vehicle warning device determines a target volume corresponding to each of the plurality of target speakers according to the distance and a preset sound model. Referring to fig. 2C, fig. 2C is a schematic view of an application scenario of a sound-based vehicle alarm method according to an embodiment of the present application. For example: when the number of the on-vehicle radars is 4 and the target object is in the right front of the target vehicle. The first step is as follows: first, a two-dimensional coordinate system can be established by the center of the automobile. The points a, b, c and d can be vehicle-mounted radar equipment (distance of a detectable object). Secondly, when the vehicle approaches a prompting source, namely a target object (x0, y0), 4 radars simultaneously detect the object, distances d1, d2, d3 and d4 corresponding to the points a, b, c and d of the vehicle-mounted radar are obtained and are substituted into the above-mentioned sound data and distance model, and then the sound volume S1, S2, S3 and S4 of the horn in the vehicle are respectively obtained.
Optionally, the preset acoustic model is:
Figure BDA0002220772330000081
wherein, SoundpSound, being the target volumemaxA preset maximum volume, d, for the plurality of target loudspeakerspThe distance between a target object and the vehicle-mounted radar is d, the maximum distance is a preset maximum distance, the maximum distance is the upper limit of a preset distance range, x is the width of the target vehicle which is 0.5 times of the width of the target vehicle, and y is the length of the target vehicle which is 0.5 times of the length of the target vehicle. The predetermined distance range may be a predetermined distance range that triggers the warning system, and may be set to a distance of 20 meters around the target vehicle, for example.
Step S203: and playing sound through a plurality of target loudspeakers according to the target volume corresponding to each target loudspeaker.
Specifically, when the sound-based vehicle alarm device calculates the target volume corresponding to each target horn, the sound may be played by the target horns according to the target volume corresponding to each target horn. It can be understood that, within the preset distance range, the farther the target object is from the target vehicle, the smaller the volume of sound played by the target loudspeaker is; the closer the target object is to the target vehicle, the greater the volume at which the target horn plays the sound. Therefore, the target volume for each target horn is proportional to the distance between the target object and the target vehicle.
By implementing the embodiment of the application, the distance between the target object and each vehicle-mounted radar in the plurality of vehicle-mounted radars can be determined firstly; then determining a target volume corresponding to each target loudspeaker in a plurality of target loudspeakers according to the distance and a preset sound model, wherein the plurality of target loudspeakers correspond to the plurality of vehicle-mounted radars one by one; and finally, playing sound through the target loudspeakers according to the target volume corresponding to each target loudspeaker. The distance between the target object and different vehicle-mounted radars on the target vehicle is determined by combining radar detection, the direction of the target object is determined, and the problems of how far the target object is from the vehicle, the approaching degree and the like can be determined. Secondly, the target objects around the target vehicle are positioned by synthesizing the azimuth sounds through the plurality of azimuth sound generators, and the potential driving safety hazard in the observation process is avoided under the condition that other display equipment is not needed for assistance.
Referring to fig. 3, fig. 3 is a schematic diagram of another sound-based vehicle warning method flow provided by the embodiment of the application. Applicable to the system of fig. 1 described above, will be described below in connection with fig. 3 from a single side of the sound-based vehicle warning device 101. The method may include the following steps S301 to S303.
Step S301: and judging whether the distance between the target object and the target vehicle is within a preset distance range.
Specifically, the sound-based vehicle alarm device first needs to determine whether the distance between the target object and the target vehicle is within a preset distance range. If the distance between the target objects and the target vehicles is not within the preset distance range, the sound-based vehicle alarm method is not triggered. The preset distance range may be a preset distance range that can trigger an alarm system, for example: a distance of 20 meters from the periphery of the target vehicle may be set.
Step S302: and if so, determining the distance between the target object and each vehicle-mounted radar in the plurality of vehicle-mounted radars according to the plurality of vehicle-mounted radars on the target vehicle.
Specifically, if the sound-based vehicle warning device determines that the distance between the target object and the target vehicle is within the preset distance range, the distance between the target object and each of the plurality of vehicle-mounted radars may be determined according to the plurality of vehicle-mounted radars on the target vehicle.
Step S303: and determining the target volume corresponding to each target loudspeaker in the target loudspeakers according to the distance and the preset sound model.
Specifically, the related description of step S303 may refer to the related description of step S203 in fig. 2, which is not described herein again.
Step S304: and determining the distance variation trend between the target object and each vehicle-mounted radar in the plurality of vehicle-mounted radars within a preset time period.
Specifically, after determining that the distance between the target object and the target vehicle is within the preset distance range, the sound-based vehicle alarm device needs to determine the distance variation trend between the target object and each of the plurality of vehicle-mounted radars within the preset time period. For example: in a preset time period, the total change amount of the distance between the target object and the vehicle body is calculated, and the distance change trend can further prompt the target vehicle to be far away from the target object so as to prevent the target object from preventing the target vehicle from normally running.
Step S305: and controlling the target loudspeakers to play the sound according to the corresponding sound frequency according to the distance change trend and the mapping relation between the distance change trend and the sound frequency.
Specifically, the sound-based vehicle warning device may control the plurality of target speakers to play the sound at the corresponding sound frequency according to the distance variation trend and the mapping relationship between the distance variation trend and the sound frequency. For example: calculating the change trend of the distance between the prompting source and the vehicle body in t0 (short time), wherein when the distance is shortened quickly, the sound frequency is a sharp high frequency; when the distance is shortened slowly, the sound frequency is a rapid low frequency; as the distance becomes larger, the sound frequency becomes slower.
Optionally, the distance variation trend includes: one or more of a fast decrease, a fast increase, a slow decrease, and a slow increase, wherein the fast decrease corresponds to a sound frequency that is greater than the slow increase corresponds to a sound frequency that is greater than the fast increase corresponds to a sound frequency.
Alternatively, the sound-based vehicle warning device may play a sound at a target volume and sound frequency for each of the plurality of target speakers.
By implementing the embodiment of the application, the distance between the target object and each vehicle-mounted radar in the plurality of vehicle-mounted radars can be determined firstly; then determining a target volume corresponding to each target loudspeaker in a plurality of target loudspeakers according to the distance and a preset sound model, wherein the plurality of target loudspeakers correspond to the plurality of vehicle-mounted radars one by one; and finally, playing sound through the target loudspeakers according to the target volume corresponding to each target loudspeaker. The distance between the target object and different vehicle-mounted radars on the target vehicle is determined by combining radar detection, the direction of the target object is determined, and the problems of how far the target object is from the vehicle, the approaching degree and the like can be determined. Secondly, the target objects around the target vehicle are positioned by synthesizing the azimuth sounds through the plurality of azimuth sound generators, and the potential driving safety hazard in the observation process is avoided under the condition that other display equipment is not needed for assistance. Finally, the distance between the target object and the target vehicle can be accurately prompted according to the sound rush frequency and the volume, so that the driver can drive the vehicle conveniently in the driving process.
Having set forth the method of the embodiments of the present application in detail above, and providing the following sound-based vehicle warning apparatus in connection with the embodiments of the present application, the sound-based vehicle warning apparatus 10 may be a service device that provides various conveniences for third party use based on interactive data by rapidly acquiring, processing, analyzing and extracting valuable data. Referring to fig. 4, fig. 4 is a schematic structural diagram of a sound-based vehicle alarm device according to an embodiment of the present application. The method can comprise a policy configuration unit 401, a determination unit 402 and an execution unit 403.
A first determination unit 401 configured to determine a distance between a target object and each of a plurality of vehicle-mounted radars;
a second determining unit 402, configured to determine, according to the distance and a preset acoustic model, a target volume corresponding to each target loudspeaker in a plurality of target loudspeakers, where the plurality of target loudspeakers correspond to the plurality of vehicle-mounted radars one to one;
a first playing unit 403, configured to play, by the multiple target speakers, sound according to a target volume corresponding to each target speaker.
In a possible implementation manner, the first determining unit 401 is specifically configured to: judging whether the distance between the target object and the target vehicle is within a preset distance range or not; if yes, determining the distance between the target object and each vehicle-mounted radar in the plurality of vehicle-mounted radars according to the plurality of vehicle-mounted radars on the target vehicle.
In a possible implementation manner, the preset acoustic model is:
Figure BDA0002220772330000111
Figure BDA0002220772330000112
wherein, SoundpSound, being the target volumemaxThe method comprises the steps of setting a preset maximum volume of a plurality of target loudspeakers, setting d _ p as the distance between a target object and a vehicle-mounted radar, setting d as the preset maximum distance between the target object and a target vehicle, setting the maximum distance as the upper limit of the preset distance range, setting x as 0.5 times of the vehicle width of the target vehicle, and setting y as 0.5 times of the vehicle length of the target vehicle.
In one possible implementation, the apparatus further includes: a third determining unit 404, configured to determine a distance variation trend between the target object and each of the plurality of vehicle-mounted radars within a preset time period; the second playing unit 405 is configured to control the multiple target speakers to play the sound according to the distance variation trend and the mapping relationship between the distance variation trend and the sound frequency.
In one possible implementation, the distance variation trend includes: one or more of a fast decrease, a fast away increase, a slow decrease and a slow increase away, wherein the fast decrease corresponds to a sound frequency that is greater than the slow increase away, and the slow increase away corresponds to a sound frequency that is greater than the fast increase away.
It should be noted that implementation of each operation may also correspond to corresponding description of the method embodiments shown in fig. 2A to fig. 3, and details are not described here again.
As shown in fig. 5, fig. 5 is a schematic structural diagram of another sound-based vehicle warning device according to an embodiment of the present application, where the sound-based vehicle warning device 20 includes at least one processor 501, at least one memory 502, and at least one communication interface 503. In addition, the device may also include common components such as an antenna, which will not be described in detail herein.
The processor 501 may be a general purpose Central Processing Unit (CPU), a microprocessor, an application-specific integrated circuit (ASIC), or one or more integrated circuits for controlling the execution of programs according to the above schemes.
Communication interface 503 is used for communicating with other devices or communication Networks, such as ethernet, Radio Access Network (RAN), core network, Wireless Local Area Networks (WLAN), etc.
The Memory 502 may be, but is not limited to, a Read-Only Memory (ROM) or other type of static storage device that can store static information and instructions, a Random Access Memory (RAM) or other type of dynamic storage device that can store information and instructions, an Electrically Erasable Programmable Read-Only Memory (EEPROM), a Compact Disc Read-Only Memory (CD-ROM) or other optical Disc storage, optical Disc storage (including Compact Disc, laser Disc, optical Disc, digital versatile Disc, blu-ray Disc, etc.), magnetic disk storage media or other magnetic storage devices, or any other medium that can be used to carry or store desired program code in the form of instructions or data structures and that can be accessed by a computer. The memory may be self-contained and coupled to the processor via a bus. The memory may also be integral to the processor.
The memory 502 is used for storing application program codes for executing the above scheme, and is controlled by the processor 501 for execution. The processor 501 is used to execute application program code stored in the memory 502.
The memory 502 may store code that may perform the sound-based vehicle alert method provided above in fig. 2-3, such as when the apparatus 20 is the sound-based vehicle alert apparatus 101, a distance between the target object and each of a plurality of vehicle-mounted radars may be determined; determining a target volume corresponding to each target loudspeaker in a plurality of target loudspeakers according to the distance and a preset sound model, wherein the plurality of target loudspeakers correspond to the plurality of vehicle-mounted radars one by one; and playing sound through the target loudspeakers according to the target volume corresponding to each target loudspeaker.
It should be noted that, the functions of the functional units in the sound-based vehicle warning device 20 described in the embodiment of the present application may refer to the corresponding descriptions of the method embodiments shown in fig. 2A to fig. 3, and are not described again here.
Referring to fig. 6, fig. 6 is a diagram of an intelligent vehicle according to an embodiment of the present disclosure, where the intelligent vehicle includes one or more processors, a memory, a plurality of vehicle-mounted radars, and a plurality of target speakers, where the plurality of target speakers correspond to the plurality of vehicle-mounted radars one to one;
the memory, the plurality of vehicle-mounted radars, the plurality of target horns, and the one or more processors, the memory to store computer program code, the computer program code comprising computer instructions;
the plurality of vehicle-mounted radars are used for measuring the distance between the vehicle-mounted radars and a target object;
the one or more processors execute the computer instructions to perform:
determining a distance between the target object and each of a plurality of vehicle-mounted radars;
determining a target volume corresponding to each target loudspeaker in a plurality of target loudspeakers according to the distance and a preset sound model, wherein the plurality of target loudspeakers correspond to the plurality of vehicle-mounted radars one by one;
and playing sound through the target loudspeakers according to the target volume corresponding to each target loudspeaker.
In one possible implementation manner, when the processor is configured to determine a distance between the target object and each of the plurality of vehicle-mounted radars, the processor is specifically configured to: judging whether the distance between the target object and the target vehicle is within a preset distance range or not; if yes, determining the distance between the target object and each vehicle-mounted radar in the plurality of vehicle-mounted radars according to the plurality of vehicle-mounted radars on the target vehicle.
In a possible implementation manner, the preset acoustic model is:
Figure BDA0002220772330000131
Figure BDA0002220772330000132
wherein, SoundpSound, being the target volumemaxA preset maximum volume, d, for the plurality of target loudspeakerspThe method comprises the steps of calculating the distance between a target object and a vehicle-mounted radar, wherein d is a preset maximum distance, the maximum distance is the upper limit of the preset distance range, x is the vehicle width which is 0.5 times of that of the target vehicle, and y is the vehicle length which is 0.5 times of that of the target vehicle.
In one possible implementation, the processor is further configured to: determining a distance variation trend between the target object and each of the plurality of vehicle-mounted radars within a preset time period; and controlling the target loudspeakers to play the sound according to the corresponding sound frequency according to the distance change trend and the mapping relation between the distance change trend and the sound frequency.
In one possible implementation, the distance variation trend includes: one or more of a fast decrease, a fast increase, a slow decrease, and a slow increase, wherein the fast decrease corresponds to a sound frequency that is greater than the slow increase corresponds to a sound frequency that is greater than the fast increase corresponds to a sound frequency.
It should be noted that, the functions of each functional module or processor in the target vehicle described in the embodiment of the present application may refer to the corresponding descriptions of the method embodiments shown in fig. 2A to fig. 3, and are not described again here.
In this application, the 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 solution of the embodiments of the present application.
In addition, functional components in the embodiments of the present application may be integrated into one component, or each component may exist alone physically, or two or more components may be integrated into one component. The integrated components can be realized in a form of hardware or a form of software functional units.
The integrated components, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application may be substantially or partially implemented in the prior art, or all or part of the technical solution may be embodied in a software product, which is stored in a storage medium and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method described in the embodiments of the present application. And the aforementioned storage medium includes: various media capable of storing program codes, such as a usb disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk.
While the invention has been described with reference to specific embodiments, the scope of the invention is not limited thereto, and those skilled in the art can easily conceive various equivalent modifications or substitutions within the technical scope of the invention. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
It should be understood that, in the various embodiments of the present application, the sequence numbers of the above-mentioned processes do not mean the execution sequence, and the execution sequence of each process should be determined by its function and inherent logic, and should not constitute any limitation to the implementation process of the embodiments of the present application. While the present application has been described herein in conjunction with various embodiments, other variations to the disclosed embodiments may be understood and effected by those skilled in the art in practicing the present application as claimed herein.

Claims (7)

1. A sound-based vehicle warning method, comprising:
judging whether the distance between the target object and the target vehicle is within a preset distance range or not;
if yes, determining the distance between a target object and each vehicle-mounted radar in the plurality of vehicle-mounted radars according to the plurality of vehicle-mounted radars on the target vehicle;
determining a target volume corresponding to each target loudspeaker in a plurality of target loudspeakers according to the distance and a preset sound model, wherein the plurality of target loudspeakers correspond to the plurality of vehicle-mounted radars one by one; the preset sound model is as follows:
Figure FDA0003347503150000011
wherein, SoundpSound, being the target volumemaxA preset maximum volume, d, for the plurality of target loudspeakerspThe distance between a target object and the vehicle-mounted radar is d, the d is a preset maximum distance, the maximum distance is the upper limit of the preset distance range, x is 0.5 times of the vehicle width of the target vehicle, and y is 0.5 times of the vehicle length of the target vehicle;
and playing sound through the target loudspeakers according to the target volume corresponding to each target loudspeaker.
2. The method of claim 1, further comprising:
determining a distance variation trend between the target object and each of the plurality of vehicle-mounted radars within a preset time period;
and controlling the target loudspeakers to play the sound according to the corresponding sound frequency according to the distance change trend and the mapping relation between the distance change trend and the sound frequency.
3. The method of claim 2, wherein the distance trend comprises: one or more of a fast decrease, a fast increase, a slow decrease, and a slow increase, wherein the fast decrease corresponds to a sound frequency that is greater than the slow increase corresponds to a sound frequency that is greater than the fast increase corresponds to a sound frequency.
4. A sound-based vehicle warning device, comprising:
a first determination unit configured to determine whether a distance between the target object and the target vehicle is within a preset distance range; if yes, determining the distance between a target object and each vehicle-mounted radar in the plurality of vehicle-mounted radars according to the plurality of vehicle-mounted radars on the target vehicle;
a second determining unit for determining multiple targets according to the distance and a preset acoustic modelA target volume corresponding to each target horn in the horns, wherein the plurality of target horns correspond to the plurality of vehicle-mounted radars one to one; the preset sound model is as follows:
Figure FDA0003347503150000021
wherein, SoundpSound, being the target volumemaxA preset maximum volume, d, for the plurality of target loudspeakerspThe distance between a target object and the vehicle-mounted radar is d, the d is a preset maximum distance, the maximum distance is the upper limit of the preset distance range, x is 0.5 times of the vehicle width of the target vehicle, and y is 0.5 times of the vehicle length of the target vehicle;
and the first playing unit is used for playing sound through the target loudspeakers according to the target volume corresponding to each target loudspeaker.
5. A smart vehicle comprising one or more processors, a memory, a plurality of onboard radars, and a plurality of target horns, wherein the plurality of target horns are in one-to-one correspondence with the plurality of onboard radars;
the memory, the plurality of vehicle-mounted radars, the plurality of target horns, and the one or more processors, the memory to store computer program code, the computer program code comprising computer instructions;
the plurality of vehicle-mounted radars are used for measuring the distance between the vehicle-mounted radars and a target object;
the one or more processors execute the computer instructions to perform:
judging whether the distance between the target object and the target vehicle is within a preset distance range or not; if yes, determining the distance between a target object and each vehicle-mounted radar in the plurality of vehicle-mounted radars according to the plurality of vehicle-mounted radars on the target vehicle;
determining a target volume corresponding to each target loudspeaker in a plurality of target loudspeakers according to the distance and a preset sound model, wherein the plurality of target loudspeakers correspond to the plurality of vehicle-mounted radars one by one; the preset sound modelComprises the following steps:
Figure FDA0003347503150000022
wherein, SoundpSound, being the target volumemaxA preset maximum volume, d, for the plurality of target loudspeakerspThe distance between a target object and the vehicle-mounted radar is d, the d is a preset maximum distance, the maximum distance is the upper limit of the preset distance range, x is 0.5 times of the vehicle width of the target vehicle, and y is 0.5 times of the vehicle length of the target vehicle;
and playing sound through the target loudspeakers according to the target volume corresponding to each target loudspeaker.
6. The sound-based vehicle alarm device is characterized by comprising a processing component, a storage component and a communication module component, wherein the processing component, the storage component and the communication module component are connected with each other, the storage component is used for storing a computer program, and the communication module is used for carrying out information interaction with external equipment; the processing component is configured for invoking a computer program for performing the method according to any of claims 1-3.
7. A computer-readable storage medium, characterized in that the computer-readable storage medium stores a computer program which is executed by a processor to implement the method of any one of claims 1-3.
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Publication number Priority date Publication date Assignee Title
WO2024087216A1 (en) * 2022-10-28 2024-05-02 华为技术有限公司 Control method and apparatus, and vehicle

Citations (13)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN201932070U (en) * 2010-12-30 2011-08-17 北京汽车研究总院有限公司 Motor vehicle, parking assisting device and audio system
CN104149729A (en) * 2013-05-13 2014-11-19 上海汽车集团股份有限公司 Method and system for recognizing barrier around driving vehicle
CN105242276A (en) * 2015-09-15 2016-01-13 清华大学苏州汽车研究院（吴江） Ultrasonic sensor-based parking assisting system
CN106004699A (en) * 2016-07-18 2016-10-12 成都安程通科技有限公司 Automobile volume regulating device
CN106627359A (en) * 2015-10-02 2017-05-10 福特全球技术公司 Potential hazard indicating system and method
CN107408339A (en) * 2015-02-16 2017-11-28 田山修 In automobile close to body alarm device
CN206975839U (en) * 2017-07-04 2018-02-06 陕西银河视通科技有限责任公司 A kind of road meeting prior-warning device based on millimetre-wave radar
CN107848459A (en) * 2015-07-22 2018-03-27 日本艺美极株式会社 Automobile is close to warning system
US9994148B1 (en) * 2016-12-14 2018-06-12 Mando Hella Electronics Corporation Pedestrian warning device of vehicle
CN207758663U (en) * 2017-08-21 2018-08-24 郑州宇通客车股份有限公司 The outer sonification system of vehicle and car
CN109109800A (en) * 2018-07-23 2019-01-01 威马智慧出行科技（上海）有限公司 Car radar warning note method and device
CN109278638A (en) * 2017-07-20 2019-01-29 安波福电子(苏州)有限公司 A kind of voice auxiliary parking system and method for parking
CN109795408A (en) * 2019-01-17 2019-05-24 深圳市元征科技股份有限公司 A kind of method for early warning and vehicle

Family Cites Families (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
DE102008040469A1 (en) * 2008-07-16 2010-01-21 Robert Bosch Gmbh Distance measuring device for vehicle e.g. car, has transmission unit and antenna for transmitting warning signals by UHF signals for outputting warning signals over car radio mechanism of vehicle
CN106162442A (en) * 2016-08-12 2016-11-23 苏州秀转电子有限公司 There is the car audio system of intelligent volume adjusting function
CN108146367A (en) * 2016-12-02 2018-06-12 王国超 Vehicle blind zone sound to positioning warning system
US10482687B2 (en) * 2017-04-11 2019-11-19 Ford Global Technologies, Llc Diagnosis of an acoustic vehicle alerting system (AVAS) based on existing sensors
JP2019054493A (en) * 2017-09-19 2019-04-04 株式会社東海理化電機製作所 Acoustic device
CN109987024B (en) * 2017-12-29 2022-07-15 安波福电子(苏州)有限公司 Parking auxiliary system and method based on audio direction information
CN109960764A (en) * 2019-04-01 2019-07-02 星觅(上海)科技有限公司 Running information reminding method, device, electronic equipment and medium

Patent Citations (13)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN201932070U (en) * 2010-12-30 2011-08-17 北京汽车研究总院有限公司 Motor vehicle, parking assisting device and audio system
CN104149729A (en) * 2013-05-13 2014-11-19 上海汽车集团股份有限公司 Method and system for recognizing barrier around driving vehicle
CN107408339A (en) * 2015-02-16 2017-11-28 田山修 In automobile close to body alarm device
CN107848459A (en) * 2015-07-22 2018-03-27 日本艺美极株式会社 Automobile is close to warning system
CN105242276A (en) * 2015-09-15 2016-01-13 清华大学苏州汽车研究院（吴江） Ultrasonic sensor-based parking assisting system
CN106627359A (en) * 2015-10-02 2017-05-10 福特全球技术公司 Potential hazard indicating system and method
CN106004699A (en) * 2016-07-18 2016-10-12 成都安程通科技有限公司 Automobile volume regulating device
US9994148B1 (en) * 2016-12-14 2018-06-12 Mando Hella Electronics Corporation Pedestrian warning device of vehicle
CN206975839U (en) * 2017-07-04 2018-02-06 陕西银河视通科技有限责任公司 A kind of road meeting prior-warning device based on millimetre-wave radar
CN109278638A (en) * 2017-07-20 2019-01-29 安波福电子(苏州)有限公司 A kind of voice auxiliary parking system and method for parking
CN207758663U (en) * 2017-08-21 2018-08-24 郑州宇通客车股份有限公司 The outer sonification system of vehicle and car
CN109109800A (en) * 2018-07-23 2019-01-01 威马智慧出行科技（上海）有限公司 Car radar warning note method and device
CN109795408A (en) * 2019-01-17 2019-05-24 深圳市元征科技股份有限公司 A kind of method for early warning and vehicle

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