Driving prompt tone adjusting method, device, system and equipment and vehicle

Abstract

The invention provides a driving warning tone adjusting method, device, system and equipment and a vehicle, and the driving warning tone adjusting method comprises the steps: obtaining the position information of a target object around the vehicle, and obtaining a to-be-output warning audio of the vehicle; determining a specific frequency band corresponding to the position information from a preset sound field distribution characteristic table; and performing amplitude gain on the audio signal in the specific frequency band in the prompt audio to obtain an adjusted prompt audio. When the vehicle outputs the driving prompt tone, the effect of reminding the target object outside the vehicle is enhanced, meanwhile, the minimum noise interference to a driver and passengers inside the vehicle is kept, and the warning requirement outside the vehicle and the quiet requirement inside the vehicle can be both considered.

Description

Technical Field

[0001] The present application relates to the technical field of automobile driving warning sounds, and in particular to a driving warning sound adjustment method, device, system, equipment and vehicle. Background Art

[0002] Electric vehicles have the characteristics of low noise and smooth movement. When the speed of electric vehicles is low, they are basically silent. Pedestrians outside the vehicle, especially those with hearing impairments, find it difficult to detect the approach of the vehicle, which poses a great safety hazard. In order to solve the pedestrian safety problem caused by the low noise of electric vehicles, the state has promulgated GB / T_37153-2018 "Electric Vehicle Low Speed ​​Warning Sound", which stipulates the sound requirements that electric vehicles must make when driving at low speeds to ensure pedestrian safety.

[0003] At present, the low-speed driving warning sound system has become a standard feature of vehicles. However, the following problems often occur during the application of the current low-speed driving warning sound system of vehicles: the warning volume inside the vehicle is too loud, which causes noise interference to the driver and passengers, easily causing irritation to the driver and passengers inside the vehicle and poor user experience; due to complex external environmental factors, it is difficult for pedestrians to hear the warning sound issued by the vehicle, and the warning sound outside the vehicle is not very targeted, which can easily cause safety hazards. Summary of the invention

[0004] In view of the above, the present application provides a driving warning sound adjustment method, device, system, equipment and vehicle to solve the technical problems that the current low-speed driving warning sound system of the vehicle is often used in the process of use, that is, the warning volume inside the vehicle is too loud, causing noise interference to the driver and passengers, and the warning sound outside the vehicle is not targeted, making it difficult for pedestrians to hear the warning sound emitted by the vehicle.

[0005] In a first aspect, an embodiment of the present application provides a method for adjusting a driving prompt sound, the method comprising: obtaining position information of a target object around a vehicle, and obtaining a prompt audio to be output by the vehicle; determining a specific frequency band corresponding to the position information from a preset sound field distribution feature table; and performing amplitude gain on an audio signal within the specific frequency band in the prompt audio to obtain an adjusted prompt audio.

[0006] The driving prompt sound adjustment method of the above-mentioned embodiment obtains the position information of the target object around the vehicle, and obtains the prompt audio to be output by the vehicle; determines the specific frequency band corresponding to the position information from the preset sound field distribution characteristic table; performs amplitude gain on the audio signal in the specific frequency band in the prompt audio to obtain the adjusted prompt audio. Based on this, the present application performs amplitude gain on the audio signal in the specific frequency band corresponding to the prompt audio according to the position information of the target object, thereby improving the directionality and pertinence of the prompt audio, improving the target object's alertness to vehicles traveling at low speeds, reducing the risk of traffic accidents, and avoiding unnecessary noise interference to the driver and passengers inside the vehicle. When the vehicle outputs the driving prompt sound, it enhances the reminder effect on the target object outside the vehicle while maintaining the minimum noise interference to the driver and passengers inside the vehicle, and can take into account both the warning requirements outside the vehicle and the quietness requirements inside the vehicle.

[0007] In some embodiments of the present application, after performing amplitude gain on the audio signal in the specific frequency band in the prompt audio, the method further comprises: power amplifying the audio signal processed by the amplitude gain.

[0008] In some embodiments of the present application, the location information includes the distance between the target object and the vehicle and the position of the target object relative to the vehicle.

[0009] In some embodiments of the present application, after obtaining the adjusted prompt audio, the method further includes: determining a sound-emitting device according to a position of the target object relative to the vehicle; and controlling the sound-emitting device to output the adjusted prompt audio.

[0010] In some embodiments of the present application, obtaining the position information of the target object around the vehicle includes: collecting the environmental image around the vehicle through an image sensor, and identifying the target object from the environmental image based on a deep learning algorithm; collecting the distance between the target object and the vehicle and the position of the target object relative to the vehicle through a radar sensor.

[0011] In some embodiments of the present application, obtaining the prompt audio to be output by the vehicle includes: collecting the driving speed of the vehicle through a vehicle speed sensor; obtaining the prompt audio corresponding to the driving speed from a preset audio database, and using the prompt audio corresponding to the driving speed as the prompt audio to be output by the vehicle, wherein the audio database contains a correspondence between a preset driving speed range and the prompt audio.

[0012] In the second aspect, an embodiment of the present application also provides a driving prompt sound adjustment device, which includes: an acquisition module, used to obtain position information of target objects around a vehicle, and obtain prompt audio to be output by the vehicle; a search module, used to determine the specific frequency band corresponding to the position information from a preset sound field distribution feature table; an adjustment module, used to perform amplitude gain on the audio signal within the specific frequency band in the prompt audio to obtain the adjusted prompt audio.

[0013] In a third aspect, an embodiment of the present application further provides a driving warning sound adjustment system, the system comprising: a vehicle speed sensor for collecting the driving speed of the vehicle; an image sensor for collecting the environmental image around the vehicle and identifying the target object from the environmental image based on a deep learning algorithm; a radar sensor for collecting the distance between the target object and the vehicle and the position of the target object relative to the vehicle; a sound-generating device for playing the adjusted warning audio; and an electronic device, the electronic device being communicatively connected to the vehicle speed sensor, the image sensor, the radar sensor, and the sound-generating device, the electronic device being used to execute the steps of the driving warning sound adjustment method as described in the above embodiment.

[0014] In a fourth aspect, an embodiment of the present application further provides an electronic device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the computer program, when executed by the processor, implements the steps of the driving warning sound adjustment method as described in the above embodiment.

[0015] In a fifth aspect, an embodiment of the present application further provides a vehicle, the vehicle comprising a driving warning sound adjustment system as described in the above embodiment.

[0016] It can be understood that the driving warning sound adjustment device of the second aspect, the driving warning sound system of the third aspect, the electronic device of the fourth aspect and the vehicle of the fifth aspect provided above all correspond to the driving warning sound adjustment method of the first aspect. Therefore, the beneficial effects that can be achieved can refer to the beneficial effects in the corresponding driving warning sound adjustment method provided above, and will not be repeated here. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 A schematic diagram of the composition of a driving warning sound adjustment system provided in one embodiment of the present application.

[0018] Figure 2 A schematic diagram of the steps of a driving warning sound adjustment method provided in one embodiment of the present application.

[0019] Figure 3 This is a schematic diagram of the specific steps of step S10 in the driving warning sound adjustment method provided in one embodiment of the present application.

[0020] Figure 4 This is a schematic diagram of specific steps of step S10 in the driving warning sound adjustment method provided in another embodiment of the present application.

[0021] Figure 5 A schematic diagram of the steps of a driving warning sound adjustment method provided in yet another embodiment of the present application.

[0022] Figure 6 A schematic diagram of the functional module composition of a driving warning sound adjustment device provided in one embodiment of the present application.

[0023] Figure 7 A schematic diagram of the hardware structure of an electronic device provided in one embodiment of the present application.

[0024] Main component symbols A driving warning sound adjustment system 1, an electronic device 10, a memory 11, a processor 12, a vehicle speed sensor 20, an image sensor 30, a radar sensor 40, a sound device 50, a power amplifier 60, a vehicle 2, a driving warning sound adjustment device 100, an acquisition module 110, a search module 120, and an adjustment module 130. DETAILED DESCRIPTION

[0025] In order to more clearly understand the above-mentioned purposes, features and advantages of the present application, the present application is described in detail below in conjunction with the accompanying drawings and specific implementation methods. It should be noted that the implementation methods of the present application and the features in the implementation methods can be combined with each other without conflict.

[0026] In the following description, many specific details are set forth to facilitate a full understanding of the present application. The described implementations are only part of the implementations of the present application, rather than all the implementations.

[0027] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as those commonly understood by those skilled in the art to which this application belongs. The terms used herein in the specification of this application are only for the purpose of describing specific embodiments and are not intended to limit this application.

[0028] It should be noted that, in this article, the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, an element defined by the sentence "comprises a ..." does not exclude the existence of other identical elements in the process, method, article or device including the element.

[0029] In this application, "at least one" means one or more, and "more" means two or more than two. "And / or" describes the association relationship of associated objects, indicating that three relationships may exist. For example, A and / or B can mean: A exists alone, A and B exist at the same time, and B exists alone, where A and B can be singular or plural. The terms "first", "second", "third", "fourth", etc. (if any) in the specification, claims and drawings of this application are used to distinguish similar objects, rather than to describe a specific order or sequence.

[0030] In the embodiments of the present application, words such as "exemplary" or "for example" are used to indicate examples, illustrations or descriptions. Any embodiment or design described as "exemplary" or "for example" in the embodiments of the present application should not be interpreted as being more preferred or more advantageous than other embodiments or designs. Specifically, the use of words such as "exemplary" or "for example" is intended to present related concepts in a specific way.

[0031] The following problems often occur in the application of the current vehicle low-speed driving warning sound system: the warning volume inside the vehicle is too loud, which causes noise interference to the driver and passengers, easily causing irritation to the driver and passengers inside the vehicle and a poor user experience; due to complex external environmental factors, it is difficult for pedestrians to hear the warning sound issued by the vehicle, and the warning sound outside the vehicle is not very targeted, which can easily cause safety hazards.

[0032] In view of the above, the present application provides a driving warning sound adjustment method, device, system, equipment and vehicle to solve the above-mentioned technical problems.

[0033] Please refer to Figure 1 , is a schematic diagram of the composition of a driving warning sound adjustment system 1 provided in one embodiment of the present application.

[0034] The driving prompt sound adjustment system 1 provided in the embodiment of the present application includes but is not limited to an electronic device 10, a vehicle speed sensor 20, an image sensor 30, a radar sensor 40, and a sound device 50. The electronic device 10 is communicatively connected with the vehicle speed sensor 20, the image sensor 30, the radar sensor 40, and the sound device 50, and the electronic device 10 is used to execute the steps of the driving prompt sound adjustment method as described in the following embodiment. The vehicle speed sensor 20 is used to collect the driving speed of the vehicle 2. The image sensor 30 is used to collect the environmental image around the vehicle 2, and identify the target object from the environmental image based on the deep learning algorithm. The radar sensor 40 is used to collect the distance between the target object and the vehicle 2 and the position of the target object relative to the vehicle 2. The sound device 50 is used to play the adjusted prompt audio.

[0035] Specifically, the electronic device 10 may be an on-board device of the vehicle 2, such as a body controller (Body Control Module, BCM). The vehicle speed sensor 20 may be an electromagnetic induction wheel speed sensor, which may collect the driving speed of the vehicle 2. The image sensor 30 may be an infrared camera, a thermal imaging camera, etc. installed around the vehicle 2, which may collect environmental images around the vehicle 2, and identify the target object from the environmental images based on a deep learning algorithm. The radar sensor 40 may be a millimeter wave radar sensor 40, an ultrasonic radar, etc. installed around the vehicle 2, which may collect the distance between the target object and the vehicle 2 and the position of the target object relative to the vehicle 2. The sound-generating device 50 may be a speaker installed around the vehicle 2, which may output an adjusted prompt audio.

[0036] In other embodiments, the electronic device 10 can be connected to a desktop computer, a notebook, a PDA, a cloud server, etc. The electronic device 10 can interact with the user through a keyboard, a mouse, a remote control, a touch pad, or a voice control device.

[0037] In some embodiments of the present application, the network where the electronic device 10 is located includes but is not limited to the Internet, a wide area network, a metropolitan area network, a local area network, a virtual private network (VPN), etc.

[0038] In some embodiments of the present application, the driving prompt sound adjustment system 1 may further include a power amplifier 60, and the power amplifier 60 is used to amplify the power of the audio signal that has been processed by the amplitude gain.

[0039] In some embodiments of the present application, if the driving speed of the vehicle 2 is higher than 20 km / h, the driving prompt sound adjustment system 1 is turned off; if the driving speed of the vehicle 2 is lower than or equal to 20 km / h, the driving prompt sound adjustment system 1 is started to adjust and output the prompt audio.

[0040] In some embodiments of the present application, the present application further provides a vehicle 2, and the vehicle 2 includes the driving warning sound adjustment system 1 provided in the above embodiments.

[0041] See also Figure 2 , is a schematic diagram of the steps of a driving warning sound adjustment method provided in an embodiment of the present application.

[0042] The driving warning sound adjustment method provided in the embodiment of the present application is applied to one or more electronic devices 10. The electronic device 10 is a device that can automatically perform numerical calculations and / or information processing according to pre-set or stored instructions. Its hardware includes but is not limited to a microprocessor, an application specific integrated circuit (Application Specific Integrated Circuit, ASIC), a programmable gate array (Field-Programmable Gate Array, FPGA), a digital processor (Digital Signal Processor, DSP), an embedded device, etc.

[0043] Specifically, the driving reminder sound adjustment method includes the following steps. According to different requirements, the order of some steps in the flowchart can be changed, and some steps can be omitted.

[0044] Step S10, obtaining the position information of the target object around the vehicle, and obtaining the prompt audio to be output by the vehicle.

[0045] In some embodiments of the present application, the position information includes the distance between the target object and the vehicle 2 and the position of the target object relative to the vehicle 2 .

[0046] Specifically, the specific steps for obtaining the position information of the target object around the vehicle 2 include: collecting the environmental image around the vehicle 2 through the image sensor 30, and identifying the target object from the environmental image based on the deep learning algorithm; collecting the distance between the target object and the vehicle 2 and the position of the target object relative to the vehicle 2 through the radar sensor 40.

[0047] In some embodiments of the present application, the target object may include but is not limited to pedestrians.

[0048] It should be noted that how to obtain the position information of the target object around the vehicle 2 will be described later. Figure 3 The steps shown are described in detail and will not be repeated here to avoid repetition.

[0049] Specifically, the specific steps of obtaining the prompt audio to be output by vehicle 2 include: collecting the driving speed of vehicle 2 through the vehicle speed sensor 20; obtaining the prompt audio corresponding to the driving speed from a preset audio database, and using the prompt audio corresponding to the driving speed as the prompt audio to be output by vehicle 2, wherein the audio database contains the correspondence between the preset driving speed range and the prompt audio.

[0050] It should be noted that how to obtain the prompt audio to be output by vehicle 2 will be described in the following Figure 4 The steps shown are described in detail and will not be repeated here to avoid repetition.

[0051] Step S11, determining a specific frequency band corresponding to the position information from a preset sound field distribution characteristic table.

[0052] In some embodiments of the present application, the electronic device 10 pre-builds and stores a sound field distribution feature table containing different position information and corresponding audio processing parameters according to acoustic principles and experimental data. The sound field distribution feature table may include but is not limited to parameters such as specific frequency bands and gain values ​​under different position information.

[0053] Step S12, performing amplitude gain on the audio signal in a specific frequency band of the prompt audio to obtain an adjusted prompt audio.

[0054] Specifically, the electronic device 10 can also search for a gain value of a specific frequency band from the sound field distribution feature table according to the position information, and then use the searched gain value to perform amplitude gain on the audio signal in the specific frequency band of the prompt audio to increase the volume of the prompt audio in the specific frequency band.

[0055] In some embodiments of the present application, after performing amplitude gain on the audio signal within a specific frequency band, the electronic device 10 further performs spectrum equalization processing on the prompt audio to comply with current regulatory standards and environmental conditions.

[0056] Step S13, determining the sound generating device according to the position of the target object relative to the vehicle.

[0057] Specifically, the electronic device 10 pre-constructs a correspondence between the position of the target object relative to the vehicle 2 and the identification code of the corresponding sound emitting device 50 based on the installation position data of the sound emitting device 50 around the vehicle 2 and the identification code of the sound emitting device 50 at each position, and then determines the corresponding sound emitting device 50 using the correspondence between the position of the target object relative to the vehicle 2 and the identification code of the corresponding sound emitting device 50 to ensure that the sound is correctly directed to the target object.

[0058] For example, if the target object is on the left side of the vehicle 2 , the identification code of the corresponding sound emitting device 50 is 01, and the sound emitting device 50 with the identification code 01 is located on the left side of the vehicle 2 .

[0059] Step S14, controlling the sound-generating device to output the adjusted prompt audio.

[0060] Specifically, the electronic device 10 controls the corresponding sound-generating device 50 to output the adjusted prompt audio according to the identification code of the selected sound-generating device 50 to achieve effective driving warning.

[0061] The driving reminder sound adjustment method of the above embodiment performs amplitude gain on the audio signal of the corresponding specific frequency band in the reminder audio according to the position information of the target object, thereby improving the directionality and pertinence of the reminder audio, improving the target object's alertness to the low-speed vehicle 2, reducing the risk of traffic accidents, avoiding unnecessary noise interference to the driver and passengers inside the vehicle 2, and achieving that when the vehicle 2 outputs the driving reminder sound, the reminder effect on the target object outside the vehicle 2 is enhanced while maintaining the minimum noise interference to the driver and passengers inside the vehicle 2, which can take into account the warning requirements outside the vehicle 2 and the quietness requirements inside the vehicle 2. The present application intelligently selects and controls the sound device 50 according to the position of the target object relative to the vehicle 2 to ensure that the sound is correctly directed to the target object, achieves effective driving warnings, and improves road safety.

[0062] See also Figure 3 , a schematic diagram of specific steps of step S10 in the driving reminder sound adjustment method provided in one embodiment of the present application.

[0063] This embodiment is a specific description of step S10 in the above embodiment, and further describes how to obtain the location information of the target object around the vehicle 2. Specifically, the following steps are included: Step S101, collecting environmental images around the vehicle through an image sensor, and identifying target objects from the environmental images based on a deep learning algorithm.

[0064] In some embodiments of the present application, the image sensor 30 may be an infrared camera, a thermal imaging camera, etc., which may be located around the vehicle 2. These cameras may include a front-view camera, a side-view camera, and a rear-view camera to provide 360-degree environmental coverage.

[0065] Specifically, the electronic device 10 first preprocesses the environmental image captured by the image sensor 30 to improve the image quality and prepare for subsequent deep learning processing. The preprocessing step may include but is not limited to denoising, contrast enhancement, color correction, etc. Then, a deep learning algorithm, such as a convolutional neural network, is used to analyze the preprocessed environmental image to identify and locate moving objects in the environmental image, and to extract key features of the identified moving objects from the environmental image, such as shape, size, texture, and color, to classify the identified moving objects, such as pedestrians, vehicles, animals, etc., and identify target objects in the moving objects, such as pedestrians.

[0066] Step S102: collecting the distance between the target object and the vehicle and the position of the target object relative to the vehicle through a radar sensor.

[0067] In some embodiments of the present application, the radar sensor 40 may be a millimeter wave radar sensor 40 , an ultrasonic radar, etc. installed around the vehicle 2 .

[0068] Specifically, the radar sensor 40 emits radio waves, which propagate into the space around the vehicle 2. The emitted radio waves are reflected after encountering the target object. The radar sensor 40 receives the reflected radio waves and further calculates the distance between the target object and the vehicle 2 by analyzing the time difference and Doppler frequency shift of the reflected waves.

[0069] In the above embodiment, the data collected by the radar sensor 40 is combined with the data of the image sensor 30 to provide a more comprehensive environmental perception, thereby being able to more accurately identify the target object and obtain more precise location information, thereby improving road safety. See also Figure 4 , which is a schematic diagram of specific steps of step S10 in the driving warning sound adjustment method provided in another embodiment of the present application.

[0070] This embodiment is a specific description of step S10 in the above embodiment, and further describes how to obtain the prompt audio to be output by the vehicle 2. Specifically, the following steps are included: Step S103, collecting the vehicle's running speed through a vehicle speed sensor.

[0071] In some embodiments of the present application, the vehicle speed sensor 20 may be an electromagnetic induction wheel speed sensor, which may collect the driving speed of the vehicle 2 and transmit the collected speed data to the electronic device 10 in the form of an electrical signal.

[0072] Step S104, obtaining a prompt audio corresponding to the driving speed from a preset audio database, and using the prompt audio corresponding to the driving speed as the prompt audio to be output by the vehicle.

[0073] In some embodiments of the present application, the audio database stores a plurality of prompt audios and a correspondence between a preset driving speed range and the prompt audios.

[0074] It should be noted that the various prompt audios stored in the audio database need to comply with regulatory requirements. For example, when the driving speed of vehicle 2 is 6-10km / h, the total sound pressure level of the prompt audio is not less than 52dB (A); when the driving speed of vehicle 2 is 10-20km / h, the total sound pressure level of the prompt audio is not less than 58dB (A); when the driving speed of vehicle 2 is less than 6km / h, the total sound pressure level of the prompt audio is not less than 49dB (A).

[0075] In the above embodiment, by dynamically adjusting the prompt audio according to the driving speed of vehicle 2, the perceptibility of vehicle 2 when driving at a low speed is improved, it can adapt to different driving conditions, enhance the adaptability of the driving experience, and ensure that the prompt audio emitted by vehicle 2 when driving at a low speed complies with relevant regulatory requirements, such as GB / T 37153-2018 "Electric Vehicle Low Speed ​​Prompt Sound", providing a safer driving environment.

[0076] See also Figure 5 , which is a schematic diagram of the steps of a driving warning sound adjustment method provided in another embodiment of the present application.

[0077] S20, obtaining position information of target objects around the vehicle, and obtaining prompt audio to be output by the vehicle.

[0078] It should be noted that how to obtain the position information of the target object around the vehicle 2 and obtain the prompt audio to be output by the vehicle 2 is described in detail in step S10 of the above embodiment, and will not be repeated here to avoid repetition.

[0079] S21, determining a specific frequency band corresponding to the position information from a preset sound field distribution characteristic table.

[0080] It should be noted that how to determine the specific frequency band corresponding to the position information from the preset sound field distribution characteristic table is described in detail in step S11 of the above embodiment, and will not be described again here to avoid repetition.

[0081] S22, performing amplitude gain on the audio signal in a specific frequency band of the prompt audio to obtain an audio signal processed by amplitude gain.

[0082] It should be noted that how to perform amplitude gain on the audio signal in a specific frequency band of the prompt audio to obtain the audio signal processed by amplitude gain is described in detail in step S12 of the above embodiment, and will not be repeated here to avoid repetition.

[0083] S23, power amplifying the audio signal processed by the amplitude gain to obtain an adjusted prompt audio.

[0084] Specifically, the audio signal processed by the amplitude gain can be power-amplified by the power amplifier 60 until it reaches a level sufficient to drive the sound-generating device 50, thereby ensuring that the prompt audio has enough energy for effective external playback.

[0085] S24, determining a sound generating device according to the position of the target object relative to the vehicle.

[0086] It should be noted that how to determine the sound generating device 50 according to the position of the target object relative to the vehicle 2 is described in detail in step S13 of the above embodiment, and will not be repeated here to avoid repetition.

[0087] S25, controlling the sound-generating device to output the adjusted prompt audio.

[0088] It should be noted that how to control the sound-generating device 50 to output the adjusted prompt audio is described in detail in step S14 of the above embodiment, and will not be repeated here to avoid repetition.

[0089] The driving reminder sound adjustment method of the above embodiment performs amplitude gain on the audio signal of the corresponding specific frequency band in the reminder audio according to the position information of the target object, thereby improving the directionality and pertinence of the reminder audio, improving the target object's alertness to the vehicle 2 traveling at a low speed, reducing the risk of traffic accidents, avoiding unnecessary noise interference to the driver and passengers inside the vehicle 2, and achieving that when the vehicle 2 outputs the driving reminder sound, the reminder effect on the target object outside the vehicle 2 is enhanced while maintaining the minimum noise interference to the driver and passengers inside the vehicle 2, which can take into account the warning requirements outside the vehicle 2 and the quietness requirements inside the vehicle 2. The present application performs power amplification on the audio signal processed by the amplitude gain to ensure that the reminder audio has enough energy for effective external playback. The present application intelligently selects and controls the sound-generating device 50 according to the position of the target object relative to the vehicle 2 to ensure that the sound is correctly directed to the target object, achieves effective driving warnings, and improves road safety.

[0090] See also Figure 6 , is a schematic diagram of the functional module composition of the driving warning sound adjustment device 100 provided in one embodiment of the present application.

[0091] In this embodiment, based on the above Figure 2 The present application also provides a driving reminder sound adjustment device 100, which can be used to perform the driving reminder sound adjustment method in the illustrated embodiment. For ease of explanation, the schematic diagram of the driving reminder sound adjustment device 100 embodiment only shows the parts related to the embodiment of the present application. Those skilled in the art can understand that the illustrated structure does not constitute a limitation on the driving reminder sound adjustment device 100, which can include more or fewer components than shown in the illustration, or combine certain components, or arrange the components differently.

[0092] Specifically, the driving warning sound adjustment device 100 provided in the embodiment of the present application includes an acquisition module 110 , a search module 120 , and an adjustment module 130 .

[0093] The acquisition module 110 is used to acquire the position information of the target object around the vehicle 2 and acquire the prompt audio to be output by the vehicle 2 .

[0094] In some embodiments of the present application, the position information includes the distance between the target object and the vehicle 2 and the position of the target object relative to the vehicle 2 .

[0095] Specifically, the specific steps for obtaining the position information of the target object around the vehicle 2 include: collecting the environmental image around the vehicle 2 through the image sensor 30, and identifying the target object from the environmental image based on the deep learning algorithm; collecting the distance between the target object and the vehicle 2 and the position of the target object relative to the vehicle 2 through the radar sensor 40.

[0096] In some embodiments of the present application, the target object may include but is not limited to pedestrians.

[0097] It should be noted that how to obtain the position information of the target object around the vehicle 2 will be described later. Figure 3 The steps shown are described in detail and will not be repeated here to avoid repetition.

[0098] Specifically, the specific steps of obtaining the prompt audio to be output by vehicle 2 include: collecting the driving speed of vehicle 2 through the vehicle speed sensor 20; obtaining the prompt audio corresponding to the driving speed from a preset audio database, and using the prompt audio corresponding to the driving speed as the prompt audio to be output by vehicle 2, wherein the audio database contains the correspondence between the preset driving speed range and the prompt audio.

[0099] The search module 120 is used to determine the specific frequency band corresponding to the position information from a preset sound field distribution feature table.

[0100] In some embodiments of the present application, the electronic device 10 pre-builds and stores a sound field distribution feature table containing different position information and corresponding audio processing parameters according to acoustic principles and experimental data. The sound field distribution feature table may include but is not limited to parameters such as specific frequency bands and gain values ​​under different position information.

[0101] The adjustment module 130 is used to perform amplitude gain on the audio signal in a specific frequency band of the prompt audio to obtain an adjusted prompt audio.

[0102] Specifically, the electronic device 10 can also search for a gain value of a specific frequency band from the sound field distribution feature table according to the position information, and then use the searched gain value to perform amplitude gain on the audio signal in the specific frequency band of the prompt audio to increase the volume of the prompt audio in the specific frequency band.

[0103] In some embodiments of the present application, after performing amplitude gain on the audio signal within a specific frequency band, the electronic device 10 further performs spectrum equalization processing on the prompt audio to comply with current regulatory standards and environmental conditions.

[0104] In some embodiments of the present application, the driving warning sound adjustment device 100 is also used to determine the sound device according to the position of the target object relative to the vehicle 2.

[0105] Specifically, the electronic device 10 pre-constructs a correspondence between the position of the target object relative to the vehicle 2 and the identification code of the corresponding sound emitting device 50 based on the installation position data of the sound emitting device 50 around the vehicle 2 and the identification code of the sound emitting device 50 at each position, and then determines the corresponding sound emitting device 50 using the correspondence between the position of the target object relative to the vehicle 2 and the identification code of the corresponding sound emitting device 50 to ensure that the sound is correctly directed to the target object.

[0106] For example, if the target object is on the left side of the vehicle 2 , the identification code of the corresponding sound emitting device 50 is 01, and the sound emitting device 50 with the identification code 01 is located on the left side of the vehicle 2 .

[0107] In some embodiments of the present application, the driving prompt sound adjustment device 100 is also used to control the sound-generating device to output the adjusted prompt audio.

[0108] Specifically, the electronic device 10 controls the corresponding sound-generating device 50 to output the adjusted prompt audio according to the identification code of the selected sound-generating device 50 to achieve effective driving warning.

[0109] The driving reminder sound adjustment device 100 of the above embodiment performs amplitude gain on the audio signal of the corresponding specific frequency band in the reminder audio according to the position information of the target object, thereby improving the directionality and pertinence of the reminder audio, improving the target object's alertness to the low-speed vehicle 2, reducing the risk of traffic accidents, avoiding unnecessary noise interference to the driver and passengers inside the vehicle 2, and achieving that when the vehicle 2 outputs the driving reminder sound, the reminder effect on the target object outside the vehicle 2 is enhanced while maintaining the minimum noise interference to the driver and passengers inside the vehicle 2, which can take into account the warning requirements outside the vehicle 2 and the quietness requirements inside the vehicle 2. The present application intelligently selects and controls the sound device 50 according to the position of the target object relative to the vehicle 2 to ensure that the sound is correctly directed to the target object, achieve effective driving warnings, and improve road safety.

[0110] Please refer to Figure 7 , Figure 7 It is a schematic diagram of the hardware structure of an electronic device 10 provided in one embodiment of the present application.

[0111] The electronic device 10 provided in the embodiment of the present application includes but is not limited to a memory 11, a processor 12, and a computer program stored in the memory 11 and executable on the processor 12. When the computer program is executed by the processor 12, the steps of the driving warning sound adjustment method in the above embodiment are implemented.

[0112] The processor 12 obtains the operating system of the electronic device 10 and various installed applications. The processor 12 obtains the application to implement the steps in the above-mentioned driving prompt tone adjustment method embodiments, for example, Figure 2 , Figure 3 , Figure 4 , Figure 5 Steps shown.

[0113] Exemplarily, the computer program may be divided into one or more modules / units, one or more modules / units are stored in the memory 11 and retrieved by the processor 12 to complete the present application. One or more modules / units may be a series of computer instruction segments that can complete specific functions, and the instruction segments are used to describe the acquisition process of the computer program in the electronic device 10. For example, the computer program may be divided into Figure 6 The acquisition module 110, the search module 120, and the adjustment module 130 in the embodiment, the specific functions of each module refer to the above embodiment.

[0114] In some embodiments of the present application, the electronic device 10 may also include a power supply (not shown) for supplying power to each component. Preferably, the power supply may be logically connected to the processor 12 through a power management device, so that the power management device can manage charging, discharging, and power consumption. The power supply may also include one or more DC or AC power supplies, recharging devices, power failure detection circuits, power converters or inverters, power status indicators, and other arbitrary components. The electronic device 10 may also include a Bluetooth module, a Wi-Fi module, etc., which will not be described in detail here.

[0115] Those skilled in the art will appreciate that the schematic diagram is merely an example of the electronic device 10 and does not constitute a limitation on the electronic device 10 . The electronic device 10 may include more or fewer components than shown in the diagram, or a combination of certain components, or different components. For example, the electronic device 10 may also include input and output devices, network access devices, buses, etc.

[0116] In some embodiments of the present application, the memory 11 is used to store computer programs and / or modules / units, and to achieve high-speed and automatic access to programs or data during the operation of the electronic device 10. The memory 11 may mainly include a program storage area and a data storage area, wherein the program storage area may store an operating system, an application required for at least one function, etc.; the data storage area may store data created according to the use of the electronic device 10, etc. The memory 11 may include a read-only memory (ROM), a random access memory (RAM), a programmable read-only memory (PROM), an erasable programmable read-only memory (EPROM), a one-time programmable read-only memory (OTPROM), an electronically erasable programmable read-only memory (EEPROM), a compact disc read-only memory (CD-ROM) or other optical disc storage, magnetic disk storage, magnetic tape storage, or any other computer-readable medium that can be used to carry or store data.

[0117] In some embodiments of the present application, the memory 11 may also be an external memory and / or an internal memory of the electronic device 10. Furthermore, the memory 11 may be a memory in a physical form, such as a memory stick, a TF card (Trans-flash Card), and the like.

[0118] In some embodiments of the present application, the processor 12 implements various functions of the electronic device 10 by running or executing computer programs and / or modules / units stored in the memory 11, and calling data stored in the memory 11.

[0119] In some embodiments of the present application, the processor 12 may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor or any conventional processor, etc. The processor 12 is the computing core and control center of the electronic device 10, and uses various interfaces and lines to connect various parts of the entire electronic device 10, and calls data stored in the memory 11 to execute various functions of the electronic device 10 and process data, for example, to execute the driving prompt tone adjustment function.

[0120] In some embodiments of the present application, if the modules / submodules integrated in the electronic device 10 are implemented in the form of software functional submodules and sold or used as independent artifacts, they can be stored in a readable storage medium. Based on this understanding, the present application implements all or part of the processes in the above-mentioned embodiment method, and can also instruct the relevant hardware to complete through a computer program. The computer program can be stored in a readable storage medium, and when the computer program is obtained by the processor 12, it can implement the above-mentioned Figure 2 , Figure 3 , Figure 4 , Figure 5 The steps of each method embodiment shown. Among them, the computer program includes computer program code, and the computer program code can be in source code form, object code form, executable file or some intermediate form, etc. The readable medium may include: any entity or device capable of carrying computer program code, recording medium, USB flash drive, mobile hard disk, magnetic disk, optical disk, computer memory, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), electric carrier signal, telecommunication signal and software distribution medium, etc. It should be noted that the content contained in the readable medium can be appropriately increased or decreased according to the requirements of legislation and patent practice in the jurisdiction. For example, in some jurisdictions, according to legislation and patent practice, the readable storage medium does not include electric carrier signals and telecommunication signals.

[0121] In the several embodiments provided in this application, it should be understood that the disclosed methods and devices can be implemented in other ways. For example, the device embodiments described above are only schematic, for example, the division of modules is only a logical function division, and there may be other division methods in actual implementation.

[0122] The modules described as separate components may or may not be physically separated, and the components shown as modules may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0123] Each functional module in each embodiment of the present application can be integrated into a processing submodule, or each submodule can exist physically separately, or two or more submodules can be integrated into one submodule. The above-mentioned integrated submodule can be implemented in the form of hardware or in the form of hardware plus software functional modules.

[0124] Therefore, no matter from which point of view, the embodiments should be regarded as illustrative and non-restrictive, and the scope of the present application is limited by the appended claims rather than the above description, so it is intended that all changes falling within the meaning and scope of the equivalent elements of the claims are included in the present application. Any attached figure mark in the claims should not be regarded as limiting the claims involved.

[0125] Finally, it should be noted that the above embodiments are only used to illustrate the technical solution of the present application and are not intended to limit it. Although the present application has been described in detail with reference to the preferred embodiments, a person of ordinary skill in the art should understand that the technical solution of the present application may be modified or replaced by equivalents without departing from the spirit and scope of the technical solution of the present application.

Claims

1. A driving warning tone adjustment method, characterized in that: The method comprises: Acquire location information of target objects around the vehicle, and acquire prompt audio to be output by the vehicle; Determining a specific frequency band corresponding to the position information from a preset sound field distribution characteristic table; Perform amplitude gain on the audio signal in the specific frequency band in the prompt audio to obtain an adjusted prompt audio.

2. The driving warning sound adjustment method according to claim 1, characterized in that: After performing amplitude gain on the audio signal in the specific frequency band in the prompt audio, the method further comprises: The audio signal processed by amplitude gain is power amplified.

3. The driving warning sound adjustment method according to claim 1, characterized in that: The position information includes the distance between the target object and the vehicle and the position of the target object relative to the vehicle.

4. The driving warning sound adjustment method according to claim 3, characterized in that: After obtaining the adjusted prompt audio, the method further includes: determining a sound generating device according to a position of the target object relative to the vehicle; The sound-generating device is controlled to output the adjusted prompt audio.

5. The driving warning sound adjustment method according to claim 3, characterized in that: The obtaining of the position information of the target object around the vehicle comprises: Collecting an environmental image around the vehicle through an image sensor, and identifying the target object from the environmental image based on a deep learning algorithm; The distance between the target object and the vehicle and the position of the target object relative to the vehicle are collected by a radar sensor.

6. The driving warning sound adjustment method according to claim 1, characterized in that: The obtaining of the prompt audio to be output by the vehicle comprises: collecting the driving speed of the vehicle through a vehicle speed sensor; Acquire a prompt audio corresponding to the driving speed from a preset audio database, and use the prompt audio corresponding to the driving speed as the prompt audio to be output by the vehicle, wherein the audio database contains a correspondence between a preset driving speed range and the prompt audio.

7. A driving warning sound adjustment device, characterized in that: The device comprises: An acquisition module, used to acquire the position information of the target object around the vehicle, and acquire the prompt audio to be output by the vehicle; A search module, used to determine the specific frequency band corresponding to the position information from a preset sound field distribution characteristic table; The adjustment module is used to perform amplitude gain on the audio signal in the specific frequency band of the prompt audio to obtain the adjusted prompt audio.

8. A driving warning sound adjustment system, characterized in that: The system comprises: A vehicle speed sensor, used to collect the driving speed of the vehicle; An image sensor, used to collect an environmental image around the vehicle and identify a target object from the environmental image based on a deep learning algorithm; A radar sensor, used to collect the distance between the target object and the vehicle and the position of the target object relative to the vehicle; A sound-generating device, used for playing the adjusted prompt audio; An electronic device, wherein the electronic device is communicatively connected with the vehicle speed sensor, the image sensor, the radar sensor, and the sound-generating device, and the electronic device is used to execute the steps of the driving warning sound adjustment method as described in any one of claims 1 to 6.

9. An electronic device, characterized in that: The electronic device includes a memory, a processor, and a computer program stored in the memory and executable on the processor. When the computer program is executed by the processor, the steps of the driving prompt sound adjustment method as described in any one of claims 1 to 6 are implemented.

10. A vehicle, characterized in that: The vehicle includes the driving warning sound adjustment system as claimed in claim 8.

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