Unmanned aerial vehicle monitoring prompting method and device, vehicle-mounted terminal and vehicle

Abstract

The invention relates to the technical field of vehicle control, and provides an unmanned aerial vehicle monitoring prompting method and device, a vehicle-mounted terminal and a vehicle. The method comprises the steps of identifying the type of an unmanned aerial vehicle if detecting that the unmanned aerial vehicle exists in an area where a vehicle is located through radar equipment; and according to the type of the unmanned aerial vehicle, a user of the vehicle is correspondingly prompted. By means of the arrangement, when the vehicle is possibly monitored by the unmanned aerial vehicle, the user can be prompted in time in a targeted mode according to the type of the unmanned aerial vehicle, the user can standardize self behaviors in time after receiving the prompt, for example, the driving behavior is standardized or the behavior of exposing privacy is avoided, and therefore various possible troubles are reduced.

Description

Technical Field

[0001] The present application relates to the field of vehicle control technology, and in particular to a drone monitoring and prompting method, device, vehicle-mounted terminal and vehicle. Background Art

[0002] With the development and popularization of drone technology, people can use drones to perform tasks in various scenarios, such as capturing road violations or rescue missions in disaster-stricken areas, etc. At present, when users drive their vehicles on the road, they may be monitored by drones. If users do not respond promptly and reasonably, it may cause various troubles to users. For example, when police drones capture road violations, if users do not regulate their driving behavior, it may result in points deduction and fines. For another example, some illegal persons will use civilian drones to follow vehicles, which may lead to the leakage of users' privacy information. Summary of the invention

[0003] In view of this, the embodiments of the present application provide a drone monitoring prompt method, device, vehicle-mounted terminal and vehicle, which can provide corresponding prompts to users when the vehicle may be monitored by a drone, so that users can regulate their own behavior in time and reduce trouble to users.

[0004] A first aspect of an embodiment of the present application provides a drone monitoring prompt method, comprising:

[0005] If the radar device detects the presence of a drone in the area where the vehicle is located, the type of drone is identified;

[0006] Depending on the type of drone, the user of the vehicle is prompted accordingly.

[0007] In the technical solution of the embodiment of the present application, the vehicle is equipped with a radar device. When the vehicle enters a certain area, it can detect whether there is a drone in the area through the radar device; if there is a drone, the type of the drone is identified, and the user of the vehicle is prompted accordingly according to the type of the drone. Through such a setting, when the vehicle may be monitored by a drone, the user can be prompted in a targeted and timely manner according to the type of drone. After receiving the prompt, the user can regulate his or her behavior in a timely manner, such as regulating driving behavior or avoiding behaviors that expose privacy, thereby reducing various possible troubles.

[0008] In one implementation of the embodiment of the present application, a corresponding prompt is given to the user of the vehicle according to the type of the drone, including:

[0009] If the drone is used by the police, the user of the vehicle is reminded to follow proper driving behavior;

[0010] If the type of drone is civilian, the user of the vehicle is reminded to pay attention to privacy and security.

[0011] In one implementation of the embodiment of the present application, if the type of the drone is civilian, the user of the vehicle is prompted to pay attention to privacy security, including:

[0012] If the type of drone is civilian, the distance between the drone and the vehicle is detected by radar equipment;

[0013] If the distance between the drone and the vehicle is less than the first threshold for a period greater than the second threshold, the user of the vehicle is prompted to pay attention to privacy security.

[0014] In one implementation of the embodiment of the present application, if the distance between the drone and the vehicle is less than the first threshold for a period greater than a second threshold, the method further includes:

[0015] A counter signal is sent to the drone through radar equipment, which is used to force the drone to return or make an emergency landing.

[0016] In one implementation of the embodiment of the present application, the counter signal is a return signal or an interference signal; transmitting the counter signal to the drone through a radar device includes:

[0017] Identify the brand and model of the drone based on its electromagnetic wave signal;

[0018] Send a return signal corresponding to the brand and model to the drone to force the drone to return;

[0019] or,

[0020] An interference signal within the frequency band of electromagnetic wave signals is transmitted to the drone to force the drone to make an emergency landing.

[0021] In one implementation of the embodiment of the present application, if the type of the drone is police use, the user of the vehicle is prompted to pay attention to standard driving behavior, including:

[0022] If the type of drone is police use, the vehicle's navigation system is used to determine whether the vehicle has entered the drone's cruising area;

[0023] If a vehicle enters the area where the drone is cruising, the vehicle's user will be prompted to observe proper driving behavior.

[0024] In one implementation of the embodiment of the present application, identifying the type of the drone includes:

[0025] Identify the type of drone based on the frequency band of its electromagnetic wave signal.

[0026] A second aspect of an embodiment of the present application provides a drone monitoring prompt device, comprising:

[0027] A drone type identification module is used to identify the type of drone if the presence of a drone in the area where the vehicle is located is detected by a radar device;

[0028] The vehicle user prompt module is used to give corresponding prompts to the vehicle user according to the type of drone.

[0029] A third aspect of an embodiment of the present application provides a vehicle-mounted terminal, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, it implements the drone monitoring and prompting method provided in the first aspect of an embodiment of the present application.

[0030] A fourth aspect of an embodiment of the present application provides a vehicle, which includes the vehicle-mounted terminal provided in the third aspect of an embodiment of the present application.

[0031] The fifth aspect of the embodiments of the present application provides a computer-readable storage medium, which stores a computer program. When the computer program is executed by a processor, it implements the drone monitoring prompt method provided in the first aspect of the embodiments of the present application.

[0032] It can be understood that the beneficial effects of the second to fifth aspects mentioned above can be found in the relevant description of the first aspect mentioned above, and will not be repeated here. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] Figure 1 This is a flow chart of a drone monitoring and prompting method provided by an embodiment of the present application;

[0034] Figure 2 This is a schematic diagram of a drone prompt process provided by an embodiment of the present application;

[0035] Figure 3 This is a schematic diagram of a drone countermeasure process provided by an embodiment of the present application;

[0036] Figure 4 This is a schematic diagram of an overall technical framework of the drone monitoring and prompting method provided in an embodiment of the present application;

[0037] Figure 5 It is a structural schematic diagram of a drone monitoring and prompting device provided in an embodiment of the present application;

[0038] Figure 6 It is a schematic diagram of a vehicle-mounted terminal provided in an embodiment of the present application. DETAILED DESCRIPTION

[0039] In the following description, for the purpose of illustration rather than limitation, specific details such as specific system structures, technologies, etc. are proposed, so as to thoroughly understand the embodiments of the present application. However, it should be clear to those skilled in the art that the present application can also be implemented in other embodiments without these specific details. In other cases, the detailed description of well-known systems, devices, circuits and methods is omitted to prevent unnecessary details from hindering the description of the present application. In addition, in the description of the present application specification and the attached claims, the terms "first", "second", "third" etc. are only used to distinguish the description, and cannot be interpreted as indicating or suggesting relative importance.

[0040] Nowadays, many cities have begun to use police drones to photograph violations on the road, such as users making phone calls, looking at mobile phones, using chat software, or not wearing seat belts in the car. If the user does not regulate his driving behavior, he is likely to be deducted points and fined. In addition, some illegal personnel will use civilian drones to follow the vehicle in an attempt to secretly photograph the user's privacy. It can be seen that the user of the vehicle may be monitored by the drone, causing various troubles.

[0041] In response to the above problems, the embodiments of the present application provide a drone monitoring prompt method, device, vehicle-mounted terminal and vehicle, which can provide corresponding prompts to users when the vehicle may be monitored by drones, so that users can regulate their own behavior in time and reduce troubles to users. For more specific technical implementation details of the embodiments of the present application, please refer to the various method embodiments described below.

[0042] It should be understood that the execution subject of each method embodiment of the present application can be various types of electronic devices, such as mobile phones, tablet computers, wearable devices, vehicle terminals, augmented reality (AR) / virtual reality (VR) devices, laptops, ultra-mobile personal computers (UMPC), netbooks, personal digital assistants (PDA), etc. The embodiments of the present application do not impose any restrictions on the specific types of the electronic devices. Considering that the technical solution of the present application is mainly to remind vehicle users of drone monitoring, the execution subject of each method embodiment can usually be a vehicle terminal provided in the vehicle.

[0043] See also Figure 1 , shows a drone monitoring prompt method provided by an embodiment of the present application, including:

[0044] 101. If the radar device detects the presence of a drone in the area where the vehicle is located, identify the type of drone;

[0045] In the technical solution of the embodiment of the present application, the vehicle is provided with a radar device for capturing drone signals. In order to obtain a better drone signal capture effect, the radar device can usually be installed on the top of the vehicle or other locations, and a radar device specifically used to detect drones can be used, that is, a drone radar. The drone radar can be used to easily detect the electromagnetic wave signal of the drone, and then the brand, type, model, position, speed, distance, angle and height of the drone can be identified according to the electromagnetic wave signal. The drone radar has the advantages of high resolution, multi-band operation and all-round coverage, where high resolution refers to the ability to clearly distinguish the detailed features of low-altitude flying targets, such as accurately identifying the model and size of the drone; multi-band operation refers to the ability to adapt to different meteorological conditions and electromagnetic environments, such as being able to maintain good monitoring performance in bad weather; all-round coverage refers to the monitoring range covering 360° in all directions, without monitoring blind spots, and being able to capture low-altitude flying targets from all directions in a timely manner.

[0046] As an example, the equipment parameters of a certain model of drone radar are shown in Table 1 below:

[0047] Table 1

[0048]

[0049]

[0050] When a vehicle is driving on the road, it can use radar equipment to detect whether there are drones in the area where the vehicle is located. Specifically, the radar equipment can detect all low-altitude flying targets within the detection range in the sky around the vehicle, that is, it can detect drones near the vehicle. By capturing the electromagnetic wave signals of drones, it can be determined whether there are drones in the area where the vehicle is located.

[0051] If the radar equipment detects the presence of a drone in the area where the vehicle is located, the type of the drone is further identified. The types of drones can include public, police, and civilian, etc. In actual operation, the type of drone can be identified in a variety of different ways. For example, the image of the drone can be taken by the vehicle's external camera, and then the image analysis and recognition method can be used to distinguish the different types of drones based on the different image features of different types of drones, thereby determining the type of the captured drone. For another example, the electromagnetic wave signal of the captured drone can be analyzed to extract the device information attached therein, thereby determining the type of the drone.

[0052] In one implementation of the embodiment of the present application, identifying the type of the drone includes:

[0053] Identify the type of drone based on the frequency band of its electromagnetic wave signal.

[0054] Considering that different types of drones usually have their own corresponding independent frequency bands, the type of drone can be identified based on the frequency band of the drone's electromagnetic wave signal. For example, assuming that public drones have their independent frequency bands f1-f2, police drones have their independent frequency bands f3-f4, and civilian drones have their independent frequency bands f5-f6, the vehicle-mounted terminal can pre-store the independent frequency bands corresponding to each type of drone. After capturing a drone X through radar equipment, the type of drone X can be accurately identified by judging which type of drone's electromagnetic wave signal is in the independent frequency band corresponding to the type of drone. For example, if the electromagnetic wave signal of drone X is in the frequency band f5-f6, it can be determined that the type of drone X is civilian.

[0055] In one implementation of the embodiment of the present application, if there are multiple vehicles in the same area, and the multiple vehicles are equipped with radar equipment, a radar matrix can be obtained by combining these radar equipment to improve the detection range and detection accuracy of the radar, thereby improving the success rate and accuracy of capturing drones. Specifically, the on-board terminal of each vehicle can use the radar matrix to detect drones, and the obtained drone detection results can be uploaded to the cloud server, which sends the drone detection results to other vehicles in the area, thereby realizing the exchange and sharing of drone detection data.

[0056] 102. Provide corresponding prompts to the vehicle user based on the type of drone.

[0057] After determining the type of drone captured, the user of the vehicle is prompted accordingly according to the type, that is, different prompts can be given for different types of drones. For example, if the type of drone is public, the drone usually happens to pass by to perform a certain designated task and will not affect the user of the vehicle, so no prompt is required; if the type of drone is police, the drone may be capturing road violations, so the user can be prompted that there is drone monitoring and please pay attention to driving regulations; if the type of drone is civilian, the drone may follow the vehicle to secretly photograph the user's privacy, so the user can be prompted that there may be drone secretly photographing and please pay attention to the protection of personal privacy. In actual operation, the vehicle terminal can prompt the user in a variety of ways, such as playing the prompt content by voice, or displaying the prompt content through the vehicle's central control screen, etc.

[0058] In one implementation of the embodiment of the present application, a corresponding prompt is given to the user of the vehicle according to the type of the drone, including:

[0059] (1) If the drone is used for police purposes, the vehicle user is reminded to follow proper driving behavior;

[0060] (2) If the type of drone is civilian, the user of the vehicle is reminded to pay attention to privacy and security.

[0061] If the type of drone is police, the drone may be capturing road violations, and the user of the vehicle needs to be reminded to pay attention to standard driving behavior. Specifically, the violations captured by police drones mainly include users making phone calls, looking at mobile phones, using chat software, eating, playing with others, and not wearing seat belts in the car, etc. If the user of the vehicle does not have good driving habits, it is easy to be captured in violation of the law, resulting in points deduction and fines. In response to this situation, the vehicle terminal will remind the user of the vehicle to pay attention to standard driving behavior, such as wearing seat belts, not using mobile phones in the car, and focusing on driving, etc. This can reduce the probability of users being captured in violation of the law, and at the same time correct the user's driving habits and improve the safety of the driving process.

[0062] If the type of drone is civilian, it may secretly photograph the user's privacy while following the vehicle. In this case, the vehicle user needs to be reminded to pay attention to privacy security. Specifically, civilian drones may secretly photograph the vehicle user's indecent actions, communication actions with other people in the car, etc. This kind of secretly photographing will threaten the user's privacy security. In response to this situation, the vehicle terminal will remind the vehicle user to pay attention to protecting privacy and avoid behaviors that expose privacy. This can reduce the probability of the user's privacy being captured, thereby improving the user's privacy security.

[0063] In addition, if the radar device detects that there are multiple drones in the area where the vehicle is located, the user can be prompted accordingly for each type of drone. For example, if a police drone and a civilian drone are detected near the vehicle at the same time, the user can be prompted to pay attention to standardized driving behavior and privacy security.

[0064] In some cases, the police drone may just happen to pass by the area where the vehicle is located, and is not capturing road violations. In this case, if the vehicle user is prompted, it will cause unnecessary disturbance to the user. In this case, the vehicle's navigation system can be combined to make a judgment and distinction.

[0065] In one implementation of the embodiment of the present application, if the type of the drone is police use, the user of the vehicle is prompted to pay attention to standard driving behavior, including:

[0066] (1) If the drone is used for police purposes, the vehicle’s navigation system is used to determine whether the vehicle has entered the drone’s cruising area;

[0067] (2) If a vehicle enters the drone’s cruising area, the vehicle’s user will be prompted to follow proper driving behavior.

[0068] When a police drone is detected in the area where the vehicle is located, the vehicle's navigation system can be used to detect the vehicle's current location to determine whether the vehicle has entered the drone's cruising area. Since the drone's cruising area is usually the working area where the police drone performs the snapshot task, when it is found that the vehicle has entered the drone's cruising area, the police drone detected is most likely a drone on duty that performs the snapshot task, so it is necessary to remind the user of the vehicle to pay attention to standardized driving behavior. On the contrary, if the vehicle has not entered the drone's cruising area, the police drone detected is most likely not a drone on duty that performs the snapshot task, so there is no need to remind the user to avoid disturbing the user. By setting this up, the accuracy of prompting the user can be effectively improved to avoid unnecessary disturbances to the user. In addition, if the vehicle is not equipped with a radar device, the navigation system can also be used to implement a prompt for drone monitoring. For example, if the navigation system detects that the vehicle has entered the drone's cruising area, the vehicle-mounted terminal can remind the user that it has currently entered the drone's cruising area, and please pay attention to standardized driving behavior and protect privacy and security.

[0069] Similarly, in many cases, a civilian drone may just happen to pass by the area where a vehicle is located, and is not following the vehicle to secretly photograph the user's privacy. In this case, if the vehicle user is reminded, it will also cause unnecessary disturbance to the user.

[0070] In order to solve this problem, after detecting the presence of a civilian drone in the area where the vehicle is located, it is necessary to further identify whether the civilian drone is following the vehicle to take secret photos, thereby improving the accuracy of prompting the user. In one implementation of the embodiment of the present application, if the type of the drone is civilian, the user of the vehicle is prompted to pay attention to privacy security, including:

[0071] (1) If the type of UAV is civilian, the distance between the UAV and the vehicle is detected by radar equipment;

[0072] (2) If the distance between the UAV and the vehicle is less than the first threshold for a period greater than the second threshold, the user of the vehicle is prompted to pay attention to privacy security.

[0073] After detecting the presence of a civilian drone in the area where the vehicle is located, the distance between the civilian drone and the vehicle can be detected by radar equipment. If the distance is detected to be less than the first threshold (for example, 100 meters), it means that the distance between the civilian drone and the vehicle is relatively close, and the timing starts at this time. If it is found that the distance is less than the first threshold for a period of time greater than the second threshold (for example, 5 minutes), it can be considered that the civilian drone is following the vehicle to take secret photos, so the user of the vehicle is reminded to pay attention to privacy and security. On the contrary, if the distance between the civilian drone and the vehicle is far, or the civilian drone is only close to the vehicle for a short period of time, it can be considered that the civilian drone is not following the vehicle, so there is no need to remind the user. Through such a setting, the accuracy of prompting users can also be effectively improved to avoid unnecessary disturbances to users.

[0074] As an example, Figure 2 As shown, it is a schematic diagram of a drone prompt process provided by an embodiment of the present application. The user of the vehicle can operate through the vehicle terminal to turn on or off the drone prompt function. When the drone prompt function is turned on, if the radar device detects the presence of a drone in the area where the vehicle is located, the type of the drone is identified. If the type of the drone is a public drone, no prompt is given to the user; if the type of the drone is a police drone, the user is prompted to pay attention to standardized driving behavior through voice or the central control screen; if the type of the drone is a civilian drone, the distance between the civilian drone and the vehicle is first detected, as well as the time the drone follows the vehicle. If the distance between the civilian drone and the vehicle is far or the time the civilian drone follows the vehicle is short, no prompt is given to the user. If the distance between the civilian drone and the vehicle is close and the time the civilian drone follows the vehicle is long, the user is prompted to pay attention to privacy and security.

[0075] Considering that the radar equipment installed on the vehicle can not only capture the electromagnetic wave signals of the drone, but also transmit electromagnetic wave signals to the drone, when a civilian drone is found following the vehicle to take pictures secretly, in addition to reminding the user to pay attention to privacy and security, the radar equipment can also be used to send a counter signal to the civilian drone to force the civilian drone to stop taking pictures secretly, which can fundamentally eliminate the threat to the user's privacy and security.

[0076] In one implementation of the embodiment of the present application, if the distance between the drone and the vehicle is less than the first threshold for a period greater than a second threshold, the method further includes:

[0077] A counter signal is sent to the drone through radar equipment, which is used to force the drone to return or make an emergency landing.

[0078] When it is found that the distance between a certain civilian drone and a vehicle is less than the first threshold and the time it maintains is greater than the second threshold, it can be considered that the civilian drone is following the vehicle to take pictures secretly. The vehicle-mounted terminal can prompt the user whether to send a counter signal. After obtaining the user's confirmation, the counter signal can be sent to the location of the civilian drone through the radar device. The range of the counter signal can be set, for example, it can be 200 meters or 300 meters. After being interfered by the counter signal, the civilian drone will be forced to return or land, thereby stopping the secret filming behavior. It should be noted that since the counter signal is only for civilian drones, the transmitted counter signal is in the independent frequency band corresponding to the civilian drone, so that the counter signal will only affect civilian drones, and will not affect public drones or police drones in other specific frequency bands. The specific form of the counter signal can be a return signal or an interference signal, which will be explained below.

[0079] In one implementation of the embodiment of the present application, the counter signal is a return signal; transmitting the counter signal to the drone through a radar device includes:

[0080] (1) Identify the brand and model of the drone based on its electromagnetic wave signal;

[0081] (2) Send a return signal corresponding to the brand and model of the drone to force the drone to return.

[0082] The return signal refers to the return command of a simulated civil drone. After receiving the return signal emitted by the radar device, the civil drone will mistakenly believe that it has received the return command issued by the remote control device, and thus be misled to return. Since the return signals corresponding to drones of different brands and models are different, it is necessary to first identify the brand and model of the civil drone based on the electromagnetic wave signal of the secretly photographed civil drone. After determining the brand and model of the civil drone, the return command corresponding to the brand and model can be found, the corresponding return signal can be constructed and sent to the location of the civil drone through the radar device. In actual operation, the vehicle terminal can pre-record and store the return commands of various brands and models of civil drones. By parsing the electromagnetic wave signal of the civil drone that secretly photographs the vehicle user, the device information of the civil drone can be obtained, thereby determining its brand and model, and then finding the corresponding return command and constructing the corresponding return signal. By transmitting a return signal to the secretly photographed civil drone, the civil drone can be misled to return, thereby stopping the secretly photographing of the vehicle user and effectively protecting the privacy and security of the vehicle user.

[0083] In another implementation of the embodiment of the present application, the counter signal is an interference signal; transmitting the counter signal to the drone through a radar device includes:

[0084] An interference signal within the frequency band of electromagnetic wave signals is transmitted to the drone to force the drone to make an emergency landing.

[0085] According to the electromagnetic wave signal of the civilian drone that secretly photographs the vehicle user, the frequency band of the electromagnetic wave signal can be identified, and the interference signal in the frequency band can be transmitted to the civilian drone through the radar equipment, which can prevent the civilian drone from receiving normal flight operation instructions. If the civilian drone cannot receive the flight operation instructions normally, it will make an emergency landing, thereby stopping the secretly photographing of the vehicle user and effectively protecting the privacy and security of the vehicle user.

[0086] As an example, Figure 3 As shown, it is a schematic diagram of a drone countermeasure process provided by an embodiment of the present application. The drone countermeasure process is only for civilian drones. If the radar equipment detects the presence of a civilian drone in the area where the vehicle is located, the distance and following time of the civilian drone are detected. If the distance is far or the following time is short, no prompt or countermeasure is given; if the distance is close and the following time is long, on the one hand, the user is prompted to pay attention to privacy and security, and on the other hand, the user is prompted whether a countermeasure signal needs to be sent. After obtaining the user's confirmation, the vehicle's radar equipment sends a countermeasure signal to the civilian drone to force the civilian drone to return or make an emergency landing, and stop secretly photographing the vehicle user.

[0087] To understand the overall technical solution of the present invention, please refer to Figure 4 , showing an overall technical framework of the drone monitoring prompt method provided by the embodiment of the present application. Figure 4 It can be seen that the vehicle is equipped with a drone detection radar, which can capture drone signals within the monitoring range and detect drones near the vehicle. By combining the radar equipment of multiple vehicles, a radar matrix can be formed to effectively improve the detection range and detection accuracy of the radar, and improve the success rate and accuracy of capturing drones. The drone detection results of different vehicles can be exchanged and shared through the cloud server. When a drone is detected near the vehicle, the vehicle terminal can further detect the type of the drone and give the vehicle user corresponding drone shooting prompts based on the type of the drone, such as paying attention to standardized driving behavior or paying attention to privacy and security. The prompt content can be displayed on the vehicle's central control screen or played by voice. In addition, for civilian drones, the vehicle terminal can detect the location of the drone through radar equipment, and after obtaining user confirmation, it can send a counter signal to the location of the drone to force the drone to return or make an emergency landing.

[0088] From the above content, it can be seen that by using the technical solution provided in the embodiment of the present application, when there is a drone monitoring a vehicle user, the on-board terminal can promptly remind the vehicle user to regulate his or her own behavior to avoid the user being deducted points or fined, and can protect the user's privacy and security, and can emit a counter signal to drive away the drone.

[0089] In the technical solution of the embodiment of the present application, the vehicle is equipped with a radar device. When the vehicle enters a certain area, it can detect whether there is a drone in the area through the radar device; if there is a drone, the type of the drone is identified, and the user of the vehicle is prompted accordingly according to the type of the drone. Through such a setting, when the vehicle may be monitored by a drone, the user can be prompted in a targeted and timely manner according to the type of drone. After receiving the prompt, the user can regulate his or her behavior in a timely manner, such as regulating driving behavior or avoiding behaviors that expose privacy, thereby reducing various possible troubles.

[0090] It should be understood that the size of the serial numbers of the steps in the above embodiments does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.

[0091] The above mainly describes a drone monitoring and prompting method, and the following will describe a drone monitoring and prompting device.

[0092] See also Figure 5 , shows a drone monitoring and prompting device provided in an embodiment of the present application, comprising:

[0093] The drone type identification module 501 is used to identify the type of the drone if the presence of the drone in the area where the vehicle is located is detected by the radar device;

[0094] The vehicle user prompt module 502 is used to give corresponding prompts to the vehicle user according to the type of the drone.

[0095] In one implementation of the embodiment of the present application, the vehicle user prompt module includes:

[0096] The first prompting unit is used to prompt the user of the vehicle to pay attention to standard driving behavior if the type of the drone is police use;

[0097] The second prompting unit is used to prompt the user of the vehicle to pay attention to privacy security if the type of the drone is civilian.

[0098] In one implementation of the embodiment of the present application, the second prompting unit includes:

[0099] A distance detection subunit is used to detect the distance between the UAV and the vehicle through a radar device if the type of the UAV is civilian;

[0100] The first prompting subunit is used to prompt the user of the vehicle to pay attention to privacy security if the distance between the drone and the vehicle is less than the first threshold for a period greater than the second threshold.

[0101] In one implementation of the embodiment of the present application, the drone monitoring prompt device further includes:

[0102] The drone countermeasure module is used to send countermeasure signals to the drone through radar equipment. The countermeasure signal is used to force the drone to return or make an emergency landing.

[0103] In one implementation of the embodiment of the present application, the countermeasure signal is a return signal or an interference signal; the drone countermeasure module includes:

[0104] A model identification unit is used to identify the brand and model of the drone based on the drone's electromagnetic wave signal;

[0105] A return signal transmitting unit is used to transmit a return signal corresponding to the brand and model of the drone to force the drone to return;

[0106] The interference signal transmitting unit is used to transmit an interference signal within the frequency band of the electromagnetic wave signal to the drone to force the drone to make an emergency landing.

[0107] In one implementation of the embodiment of the present application, the first prompting unit includes:

[0108] The area identification subunit is used to determine whether the vehicle enters the area where the drone is cruising through the vehicle's navigation system if the type of the drone is police use;

[0109] The second prompting subunit is used to prompt the user of the vehicle to pay attention to standardized driving behavior if the vehicle enters the area where the drone is cruising.

[0110] In one implementation of the embodiment of the present application, the drone type identification module includes:

[0111] The drone type identification unit is used to identify the type of the drone based on the frequency band of the drone's electromagnetic wave signal.

[0112] An embodiment of the present application also provides a computer-readable storage medium, which stores a computer program. When the computer program is executed by a processor, it implements the drone monitoring prompt method as represented by any of the above embodiments.

[0113] Figure 6 Schematic diagram of a vehicle-mounted terminal provided by an embodiment of the present application. Figure 6As shown, the vehicle terminal 6 of this embodiment includes: a processor 60, a memory 61, and a computer program 62 stored in the memory 61 and executable on the processor 60. When the processor 60 executes the computer program 62, the steps in the above-mentioned embodiments of the drone monitoring prompt method are implemented, for example Figure 1 Alternatively, when the processor 60 executes the computer program 62, the functions of each module / unit in the above-mentioned device embodiments are realized, for example, Figure 5 Modules 501 - 502 of the device shown.

[0114] The computer program 62 may be divided into one or more modules / units, which are stored in the memory 61 and executed by the processor 60 to complete the present application. The one or more modules / units may be a series of computer program instruction segments capable of completing specific functions, which are used to describe the execution process of the computer program 62 in the vehicle-mounted terminal 6.

[0115] The processor 60 may be a central processing unit (CPU), 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.

[0116] The memory 61 may be an internal storage unit of the vehicle-mounted terminal 6, such as a hard disk or memory of the vehicle-mounted terminal 6. The memory 61 may also be an external storage device of the vehicle-mounted terminal 6, such as a plug-in hard disk, a smart media card (SMC), a secure digital (SD) card, a flash card, etc. equipped on the vehicle-mounted terminal 6. Further, the memory 61 may also include both an internal storage unit and an external storage device of the vehicle-mounted terminal 6. The memory 61 is used to store the computer program and other programs and data required by the vehicle-mounted terminal. The memory 61 may also be used to temporarily store data that has been output or is to be output.

[0117] The present application also provides a vehicle, which includes: Figure 6 The vehicle terminal shown.

[0118] The technicians in the relevant field can clearly understand that for the convenience and simplicity of description, only the division of the above-mentioned functional units and modules is used as an example for illustration. In practical applications, the above-mentioned function allocation can be completed by different functional units and modules as needed, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above. The functional units and modules in the embodiment can be integrated in a processing unit, or each unit can exist physically separately, or two or more units can be integrated in one unit. The above-mentioned integrated unit can be implemented in the form of hardware or in the form of software functional units. In addition, the specific names of the functional units and modules are only for the convenience of distinguishing each other, and are not used to limit the scope of protection of this application. The specific working process of the units and modules in the above-mentioned system can refer to the corresponding process in the aforementioned method embodiment, which will not be repeated here.

[0119] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0120] In the above embodiments, the description of each embodiment has its own emphasis. For parts that are not described or recorded in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0121] Those of ordinary skill in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0122] In the embodiments provided in the present application, it should be understood that the disclosed devices and methods can be implemented in other ways. For example, the system embodiments described above are only schematic. For example, the division of the modules or units is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be an indirect coupling or communication connection through some interfaces, devices or units, which can be electrical, mechanical or other forms.

[0123] The units described as separate components may or may not be physically separated, and the components displayed as units 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 units may be selected according to actual needs to achieve the purpose of the embodiments of the present application.

[0124] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0125] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-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 be completed by instructing the relevant hardware through a computer program. The computer program can be stored in a computer-readable storage medium, and the computer program can implement the steps of the above-mentioned various method embodiments when executed by the processor. 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. The computer-readable medium may include: any entity or device capable of carrying the computer program code, recording medium, U disk, mobile hard disk, 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. It should be noted that the content contained in the computer-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, computer-readable media do not include electric carrier signals and telecommunication signals.

[0126] The embodiments described above are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the aforementioned embodiments, a person skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features may be replaced by equivalents. Such modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present application, and should all be included in the protection scope of the present application.

Claims

1. A drone monitoring and prompting method, characterized in that: include: If the radar device detects the presence of a drone in the area where the vehicle is located, then identify the type of the drone; According to the type of the drone, a corresponding prompt is given to the user of the vehicle.

2. The method according to claim 1, characterized in that Providing corresponding prompts to the user of the vehicle according to the type of the drone includes: If the type of the drone is police use, the user of the vehicle is prompted to pay attention to standard driving behavior; If the type of the drone is civilian, the user of the vehicle is prompted to pay attention to privacy security.

3. The method according to claim 2, characterized in that If the type of the drone is civilian, prompting the user of the vehicle to pay attention to privacy security includes: If the type of the UAV is civilian, detecting the distance between the UAV and the vehicle by the radar device; If the distance between the drone and the vehicle is less than the first threshold for a period greater than a second threshold, the user of the vehicle is prompted to pay attention to privacy security.

4. The method according to claim 3, characterized in that If the distance between the UAV and the vehicle is less than the first threshold for a period greater than a second threshold, the method further includes: A counter signal is transmitted to the drone through the radar device, and the counter signal is used to force the drone to return or make an emergency landing.

5. The method according to claim 4, characterized in that The counter signal is a return signal or an interference signal; transmitting the counter signal to the UAV through the radar device includes: Identify the brand and model of the drone according to the electromagnetic wave signal of the drone; Transmitting the return signal corresponding to the brand model to the drone to force the drone to return; or, The interference signal within the frequency band of the electromagnetic wave signal is transmitted to the drone to force the drone to make an emergency landing.

6. The method according to claim 2, characterized in that If the type of the drone is police use, the user of the vehicle is prompted to pay attention to standard driving behavior, including: If the type of the drone is police use, determining whether the vehicle has entered the drone cruising area through the vehicle's navigation system; If the vehicle enters the area where the drone is cruising, the user of the vehicle is prompted to pay attention to standard driving behavior.

7. The method according to any one of claims 1 to 6, characterized in that: The identifying the type of the drone comprises: The type of the drone is identified according to the frequency band of the electromagnetic wave signal of the drone.

8. A drone monitoring and prompting device, characterized in that: include: A drone type identification module is used to identify the type of the drone if a drone is detected in the area where the vehicle is located by a radar device; The vehicle user prompt module is used to provide corresponding prompts to the user of the vehicle according to the type of the drone.

9. A vehicle-mounted terminal, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the drone monitoring and prompting method according to any one of claims 1 to 7 is implemented.

10. A vehicle, characterized in that: Comprising the vehicle-mounted terminal as claimed in claim 9.

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