A vehicle finding method and apparatus

Abstract

The application provides a vehicle searching method and device, computer equipment and storage medium, and relates to the technical field of vehicle information processing. A cloud device acquires a parking space environment image associated with a target vehicle, identifies parking position information, matches at least one of the parking space environment image and the parking position information with historical corresponding information, determines corresponding parking landmark information according to parking landmark information associated with the matched historical information, and sends the parking position information and the parking landmark information to a user terminal. The cloud device also controls a vehicle-mounted device to start a vehicle-mounted wireless hotspot. The user terminal comprehensively searches for the vehicle according to the parking position information, the parking landmark information and the signal strength of the vehicle-mounted wireless hotspot. The application can provide the user with parking position information, landmark reference information and close-range guidance in the case that the positioning signal is poor and there is a lack of pre-built positioning facilities in the parking lot, thereby facilitating the user to search for the vehicle.

Description

Technical Field

[0001] This invention relates to the field of vehicle information processing technology, and in particular to a vehicle locator method and apparatus. Background Technology

[0002] In related technologies, vehicle location functions mainly rely on vehicle positioning. However, in locations with poor positioning signals, such as underground parking garages, vehicles cannot be located, thus affecting users' ability to find their vehicles. Summary of the Invention

[0003] The purpose of this invention is to provide a vehicle locator method and device that can assist users in finding their vehicles when vehicle location is unavailable.

[0004] To address the aforementioned technical problems, this invention provides a vehicle location method applied to cloud devices, comprising: When a vehicle-finding command is received from a user terminal, the system acquires an image of the parking space environment associated with the target vehicle and identifies the parking location information based on the parking space environment image. At least one of the parking space environment image and the parking location information is matched with the corresponding information in the historical parking space environment image and historical parking location information, and the parking lot landmark information corresponding to the parking location information is determined based on the parking lot landmark information associated with the matched historical information. Send the parking location information and the parking lot landmark information to the user terminal; Send a hotspot activation command to the vehicle-mounted equipment of the target vehicle to enable the vehicle-mounted wireless hotspot; The user terminal uses the parking location information, the parking lot landmark information, and the signal strength of the vehicle-mounted wireless hotspot to provide vehicle location guidance.

[0005] Optionally, acquiring the parking space environment image associated with the target vehicle includes: Acquire parking space environment images collected and uploaded by the vehicle-mounted equipment of the target vehicle when it is parked; Alternatively, an image acquisition command may be sent to the onboard equipment of the target vehicle, so that the onboard equipment can collect and upload the parking space environment image; wherein the onboard equipment controls multiple cameras set at different positions of the target vehicle to collect the parking space environment image respectively. The step of identifying parking location information based on the parking space environment image includes: The parking location information is determined based on the recognition results of multiple parking space environment images.

[0006] Optionally, matching at least one of the parking space environment image and the parking location information with corresponding information in the historical parking space environment image and historical parking location information includes: The parking space environment image is matched with historical parking space environment images for image similarity matching. And / or, extract environmental features from the parking space environment image and the historical parking space environment image respectively, and match the environmental features corresponding to the parking space environment image with the environmental features corresponding to the historical parking space environment image; And / or, perform character similarity matching between the parking location information and the historical parking location information.

[0007] Optionally, before matching at least one of the parking space environment image and the parking location information with corresponding information in the historical parking space environment image and historical parking location information, the method further includes: Determine whether the parking lot landmark information can be identified in the parking space environment image; When the parking space environment image can identify the parking lot landmark information, at least one of the parking space environment image and the parking location information is associated with and saved with the identified parking lot landmark information, and the process proceeds to the step of sending the parking location information and the parking lot landmark information to the user terminal. When the parking lot landmark information cannot be identified in the parking space environment image, the process proceeds to the step of matching at least one of the parking space environment image and the parking location information with the corresponding information in the historical parking space environment image and historical parking location information.

[0008] This invention also provides a vehicle locating method, applied to a user terminal, comprising: Send a vehicle search command to the cloud device so that the cloud device can obtain the parking space environment image associated with the target vehicle, determine the parking location information and parking lot landmark information based on the parking space environment image, and control the vehicle's on-board equipment to turn on the vehicle's wireless hotspot. Receive and display the parking location information and parking lot landmark information sent by the cloud device; Search for the vehicle's wireless hotspot and establish a wireless connection with it. When a wireless connection is established with the vehicle-mounted wireless hotspot, the signal strength of the vehicle-mounted wireless hotspot is collected during the movement of the user terminal, and vehicle search guidance is performed based on the changes in the signal strength.

[0009] Optionally, the step of collecting the signal strength of the vehicle-mounted wireless hotspot during the movement of the user terminal, and guiding vehicle location based on changes in the signal strength, includes: The movement direction of the user terminal is obtained, and the signal strength of the vehicle-mounted wireless hotspot is collected during the movement of the user terminal along the movement direction. Based on the changes in signal strength, determine the direction of signal strength enhancement for the vehicle-mounted wireless hotspot; Based on the user terminal's posture information, the signal strength enhancement direction is converted into a vehicle guidance direction, and vehicle guidance information is output based on the vehicle guidance direction.

[0010] Optionally, the step of outputting vehicle guidance information according to the vehicle guidance direction includes: Collect a real-view image of the parking lot that the user terminal is currently facing; Based on the posture information of the user terminal, the display direction of the vehicle guidance direction in the real-world image of the parking lot is determined; According to the display direction, the vehicle guidance sign is superimposed on the real-world image of the parking lot, and the display direction of the vehicle guidance sign is updated when the vehicle guidance direction or the posture information changes. When the signal strength of the vehicle-mounted wireless hotspot meets the preset arrival conditions, a prompt message indicating that the vehicle has arrived near the target vehicle is output.

[0011] Optionally, it also includes: When a flashing light confirmation operation is received for the target vehicle, a flashing light request is sent to the cloud device so that the cloud device controls the target vehicle to perform the flashing light operation; The output is used to prompt the user to confirm the target vehicle based on the flashing light operation.

[0012] The present invention also provides a vehicle finding device, applied to cloud devices, comprising: The parking location recognition module is used to obtain the parking space environment image associated with the target vehicle when it receives a car-finding command sent by the user terminal, and to recognize the parking location information based on the parking space environment image. The parking lot landmark matching module is used to match at least one of the parking space environment image and the parking location information with the corresponding information in the historical parking space environment image and historical parking location information, and determine the parking lot landmark information corresponding to the parking location information based on the parking lot landmark information associated with the matched historical information. The information sending module is used to send the parking location information and the parking lot landmark information to the user terminal; The hotspot activation module is used to send a hotspot activation command to the vehicle-mounted equipment of the target vehicle, so that the vehicle-mounted equipment can turn on the vehicle-mounted wireless hotspot, so that the user terminal can guide the vehicle search based on the signal strength of the vehicle-mounted wireless hotspot.

[0013] The present invention also provides a vehicle locating device, applied to a user terminal, comprising: The vehicle search command sending module is used to send a vehicle search command to a cloud device so that the cloud device can obtain an image of the parking space environment associated with the target vehicle, determine the parking location information and parking lot landmark information based on the parking space environment image, and control the vehicle's on-board equipment to turn on the vehicle's wireless hotspot. An information receiving and display module is used to receive and display the parking location information and the parking lot landmark information sent by the cloud device; The hotspot search module is used to search for the vehicle-mounted wireless hotspots and establish a wireless connection with the vehicle-mounted wireless hotspots. The vehicle search and guidance module is used to collect the signal strength of the vehicle-mounted wireless hotspot during the movement of the user terminal when a wireless connection is established with the vehicle-mounted wireless hotspot, and to provide vehicle search and guidance based on the changes in the signal strength.

[0014] This invention provides a vehicle location method applied to a cloud device, comprising: upon receiving a vehicle location command sent by a user terminal, acquiring a parking space environment image associated with the target vehicle, and identifying parking location information based on the parking space environment image; matching at least one of the parking space environment image and parking location information with corresponding information in historical parking space environment images and historical parking location information, and determining parking lot landmark information corresponding to the parking location information based on parking lot landmark information associated with the matched historical information; sending the parking location information and parking lot landmark information to the user terminal; sending a hotspot activation command to the vehicle's onboard equipment; and the user terminal providing vehicle location guidance based on a comprehensive analysis of the parking location information, the parking lot landmark information, and the signal strength of the onboard wireless hotspot.

[0015] The beneficial effects of this invention are as follows: When the cloud device receives a vehicle-finding command from a user terminal, it first acquires an image of the parking space environment associated with the target vehicle and identifies parking location information, such as floor information and area information, based on the parking space environment image. Subsequently, the cloud device matches at least one of the parking space environment image and parking location information with corresponding information from historical parking space environment images and historical parking location information. Based on the parking lot landmark information associated with the matched historical information, it determines the parking lot landmark information corresponding to the parking location information. Parking lot landmarks refer to facilities in the parking lot, such as entrances / exits and elevator lobbies, that can assist users in identifying their location. The cloud device can determine parking lot landmarks near the parking location through information matching. Then, it can send the parking location information and parking lot landmark information to the user terminal so that the user can find their vehicle based on these information. Finally, the cloud device can also send a hotspot activation command to the vehicle's onboard equipment to enable the onboard wireless hotspot. In this way, the present invention can send parking location information and parking lot landmark information related to the vehicle's parking location obtained through image recognition and information matching to the user terminal, and can guide the vehicle-mounted device to start the vehicle's wireless hotspot, so that the user terminal can provide vehicle search guidance based on the parking location information, parking lot landmark information and the signal strength of the vehicle's wireless hotspot. In the absence of vehicle positioning, it can assist users in finding their vehicles, thereby ensuring the efficiency of vehicle search for users.

[0016] The present invention also provides a vehicle finding device, which has the above-mentioned beneficial effects. Attached Figure Description

[0017] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on the provided drawings without creative effort.

[0018] Figure 1 This is a structural block diagram of a vehicle finding system provided in an embodiment of the present invention; Figure 2 A flowchart illustrating a vehicle locating method applied to cloud devices, as provided in an embodiment of the present invention; Figure 3 A flowchart of a vehicle locating method applied to a user terminal, provided as an embodiment of the present invention; Figure 4 This is a structural block diagram of another vehicle finding system provided in an embodiment of the present invention; Figure 5 This is a schematic diagram of a vehicle locating process provided in an embodiment of the present invention; Figure 6 This is a structural block diagram of a vehicle finding device provided in an embodiment of the present invention; Figure 7 This is a structural block diagram of another vehicle finding device provided in an embodiment of the present invention; Figure 8 This is a structural block diagram of a computer device provided in an embodiment of the present invention. Detailed Implementation

[0019] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0020] As the number of vehicles increases, parking lot areas and internal structures become increasingly complex. After parking in indoor locations such as public parking lots, underground garages, and office park parking lots, users usually need to rely on location records, audio-visual prompts, or parking lot side-to-side and reverse vehicle search facilities to find their vehicles.

[0021] However, the Global Positioning System (GPS) may not be able to output a valid location in underground spaces or environments with strong building obstructions. Therefore, simply recording the location coordinates at the time of parking is insufficient to accurately indicate the floor, area, and parking space of the vehicle. Furthermore, when locating a vehicle by honking its horn or flashing its lights, the sound may be interfered with by ambient noise, and distant lights may be blocked. In addition, solutions relying on parking lot cameras, positioning base stations, or query terminals require the pre-construction of fixed facilities, making them only suitable for fixed locations and unable to address the needs of scenarios such as private garages and office parks.

[0022] In view of this, and addressing the technical problem of how to effectively guide vehicle locators without relying on location recordings, audio-visual cues, and fixed parking lot facilities, this invention provides a vehicle locator method. In this method, a cloud-based device can identify the parking location information of the target vehicle through an image of the parking space environment, and determine parking lot landmark information by matching current parking information with historical parking information. This parking location information and parking lot landmark information are then sent to the user terminal. The user terminal first guides the user to the vicinity of the vehicle based on the parking location information and parking lot landmark information, and then connects to the vehicle's onboard Wi-Fi hotspot, obtaining short-range guidance based on signal strength changes during movement. Thus, this invention can effectively guide users to find their vehicles without relying on location recordings, audio-visual cues, or fixed parking lot facilities.

[0023] The system architecture used in this embodiment will be described below. Please refer to... Figure 1 , Figure 1 This is a structural block diagram of a vehicle finding system provided in an embodiment of the present invention.

[0024] The vehicle location system may include a user terminal 1, a cloud device 2, and an in-vehicle device 3. Data can be transmitted between the user terminal 1 and the cloud device 2, and between the cloud device 2 and the in-vehicle device 3, via mobile communication networks or other wireless communication networks.

[0025] User terminal 1 is used to send vehicle search commands, display parking location information and parking lot landmark information, search for and connect to in-vehicle Wi-Fi hotspots, and output vehicle search guidance. This embodiment does not limit the specific type of user terminal; for example, it can be a mobile terminal such as a mobile phone or wearable device.

[0026] Cloud device 2 is used to receive vehicle location commands, acquire parking space environment images, identify parking location information, determine parking lot landmark information, send information to user terminal 1, and send control commands to in-vehicle device 3. Cloud device 2 can also maintain a historical information database. The historical information database is used to associate and store historical parking space environment images, historical parking location information, and parking lot landmark information.

[0027] The vehicle-mounted device 3 is installed in the user's target vehicle and may contain a camera and a vehicle-mounted wireless hotspot (the camera and vehicle-mounted wireless hotspot are not shown). The camera can be installed in multiple locations on the vehicle, such as the front, rear, left, and right sides, and may also include other camera components capable of forming images of the vehicle's surroundings. The vehicle-mounted wireless hotspot is used to send wireless signals after receiving a hotspot activation command, so that the user terminal 1 can establish a wireless connection and collect signal strength.

[0028] Based on the above system architecture description, the vehicle search method provided in this embodiment will be described below. First, the implementation of this method on the cloud device side will be described. Please refer to... Figure 2 , Figure 2 A flowchart of a vehicle locator method applied to a cloud device, provided as an embodiment of the present invention, is included in the following steps.

[0029] S11. When a vehicle search command is received from a user terminal, the parking space environment image associated with the target vehicle is obtained, and the parking location information is identified based on the parking space environment image.

[0030] In this step, the vehicle search command is the control information requested by the user to locate the target vehicle. The parking space environment image is an image that reflects the parking space and its surrounding environment after the target vehicle is parked. The image content may include floor signs, area signs, parking space numbers, column numbers, wall or ground markings, lighting facilities, pipeline layout, and parking lot landmarks.

[0031] It should be noted that parking space environment images can be collected or uploaded at different times. For example, the in-vehicle device can collect and upload images when the vehicle is parked or turned off, and the cloud device can read the pre-stored images after receiving a car-finding command; the in-vehicle device can also collect images while the vehicle is parked and save them locally, and upload them after receiving an image acquisition command; the cloud device can also wake up the in-vehicle device after receiving a car-finding command, and the in-vehicle device can collect and upload images in real time.

[0032] Furthermore, to avoid incomplete or unclear environmental features in the parking space environment image due to obstruction by other vehicles or pedestrians, the onboard device can also record a video and upload it to a cloud device. The cloud device can then extract multiple image frames from the video to serve as the aforementioned parking space environment image. It is understandable that since other vehicles, pedestrians, or other obstructions can change position over time and eliminate their obstruction of the target vehicle, capturing video and using its image frames as the parking space environment image effectively avoids the defects of incomplete or unclear environmental features caused by obstruction, ensuring effective vehicle location.

[0033] The following describes different methods for acquiring and uploading parking space environment images. In one possible scenario, acquiring a parking space environment image associated with a target vehicle may include: S1111. Obtain the parking space environment image collected and uploaded by the vehicle-mounted equipment of the target vehicle when it is parked.

[0034] The in-vehicle device can trigger image acquisition when it detects a parking position, a vehicle power failure, or a parking completion event. The acquired results can be immediately uploaded to a cloud device or stored in the in-vehicle device for later uploading.

[0035] In another scenario, acquiring an image of the parking space environment associated with the target vehicle may include: S1112. Send an image acquisition command to the vehicle-mounted equipment so that the vehicle-mounted equipment can collect and upload images of the parking space environment.

[0036] The in-vehicle equipment can control multiple cameras positioned at different locations on the target vehicle to capture images of the parking space environment. Multiple cameras can capture images simultaneously or in a preset order.

[0037] In addition, before the image is uploaded, the in-vehicle device can perform at least one of the following processing steps on the image: distortion correction, brightness adjustment, privacy area masking, size adjustment, and compression, in order to improve image quality and prevent privacy leaks.

[0038] Furthermore, cloud-based devices can perform text recognition, target recognition, or scene recognition on parking space environment images to obtain parking location information. This parking location information can be at least one of the following: parking lot signage, floor information, area information, and parking space signage. For example, when characters such as "D3," "D zone," and "140" appear in the image, they can be identified as floor, area, and parking space signage, respectively.

[0039] It should be noted that this embodiment does not limit how the cloud device identifies parking location information based on the parking space environment image. For example, an image recognition model can be deployed and used to perform image recognition on the parking space environment image to obtain the parking location information. This embodiment does not limit the specific image recognition model; for example, it can be a Convolutional Neural Network (CNN) model.

[0040] In one feasible implementation, the cloud device identifies multiple parking space environment images captured by multiple cameras and determines the parking location information based on the identification results of the multiple parking space environment images. For example, the floor information, area information, and parking space identification information identified from different parking space environment images can be combined to obtain the parking location information.

[0041] In one possible scenario, identifying parking location information based on the parking space environment image includes: S1121. Determine parking location information based on the recognition results of multiple parking space environment images.

[0042] In this embodiment, the result with higher recognition confidence can be prioritized as the parking location information. Furthermore, if different recognition results exist for the same field, the final parking location information can be determined based on multi-image voting, character rules, or the camera's shooting direction.

[0043] S12. Match at least one of the parking space environment image and parking location information with the corresponding information in the historical parking space environment image and historical parking location information, and determine the parking lot landmark information corresponding to the parking location information based on the parking lot landmark information associated with the matched historical information.

[0044] In this embodiment, the historical parking space environment image is an image previously collected and stored in the parking lot, and the historical parking location information is a description of the parking location corresponding to the historical parking space environment image. The historical information (i.e., the historical parking space environment image and the historical parking location information) can be uploaded by the same target vehicle previously, or it can be uploaded by other vehicles or other users in the same parking lot.

[0045] It's worth noting that historical information can be linked to parking lot landmark information. Parking lot landmark information describes reference objects within the parking lot that help users determine their location or find their way, such as elevator lobbies, stairwells, vehicle entrances / exits, pedestrian entrances / exits, passageways, service facilities, or other objects with stable location characteristics. Since the current parking location of the target vehicle may not have image information corresponding to the parking lot landmark, other parking locations nearby may have such image information, meaning these other parking locations are close to the landmark. Furthermore, the parking environment images and corresponding parking location information captured at other parking locations may be similar to those at the current parking location. Therefore, to facilitate vehicle location for users, the cloud device can match at least one of the parking environment image and parking location information with corresponding information from historical parking environment images and historical parking location information, and determine the parking lot landmark information corresponding to the current parking location based on the matching result. Then, the cloud device can send both the parking location information and the parking lot landmark information to the user's terminal, making it easier for the user to find their vehicle.

[0046] For example, historical data may contain historical images corresponding to "D3-140" and its surrounding environment, and these historical images or adjacent images may identify a specific elevator lobby. If only "D3-140" is identified in this instance but the elevator lobby is not captured, the historical matching results can indicate that the target vehicle is located near that elevator lobby.

[0047] It should be noted that matching parking space environment images and parking location information with historical parking space environment images and historical parking location information can be performed in various ways. For example, parking space environment images and historical parking space environment images can be matched using image similarity. Furthermore, environmental features can be extracted from both the current image and historical images, and then matched using these features. Environmental features can include at least one of the following: column appearance, wall texture, ground markings, ceiling wiring, lighting arrangement, fire safety facilities, adjacent parking space layout, and signage appearance. Alternatively, parking location information can be matched with historical parking location information using character similarity or field matching. When character recognition errors exist, similar historical information can be selected by combining character confidence and parking space numbering rules.

[0048] Furthermore, to improve matching efficiency, candidate historical information can be filtered first based on parking lot signs, building signs, floor information, or area information in the parking location information, and then image, environmental feature, or character matching can be performed in the candidate historical information, thereby reducing incorrect matching across parking lots or floors.

[0049] S13. Send parking location information and parking lot landmark information to the user terminal.

[0050] The user terminal can display both types of information simultaneously, or they can be displayed separately according to the search stage. Parking lot landmark information can also include the relative position between the landmark and the parking space, the passage relationship, or wayfinding tips.

[0051] S14. Send a hotspot activation command to the onboard equipment of the target vehicle to enable the onboard wireless hotspot; the user terminal uses the parking location information, parking lot landmark information and the signal strength of the onboard wireless hotspot to guide the vehicle search.

[0052] In this embodiment, since users may not be able to accurately locate their target vehicle based solely on parking location information and parking lot landmark information, the cloud device can send a hotspot activation command to the vehicle's onboard equipment to more accurately guide the user in finding the vehicle. The onboard equipment can respond to the hotspot activation command and activate its onboard Wi-Fi hotspot. Then, when the user approaches the vehicle, the user terminal can connect to the onboard Wi-Fi hotspot and use the signal strength of the onboard Wi-Fi hotspot to guide the user in finding the vehicle more accurately.

[0053] In this embodiment, the user terminal uses a combination of parking location information, parking lot landmark information, and the signal strength of the vehicle's wireless hotspot to guide the user in finding their vehicle. This helps users find their vehicle even when vehicle location is unavailable, thus ensuring the efficiency of vehicle search.

[0054] It should be noted that this embodiment does not limit the specific process of vehicle location guidance by the user terminal. It can be configured according to actual application needs. For example, it can first receive and display parking location information and parking lot landmark information, and then attempt to connect to the vehicle's Wi-Fi hotspot, thereby providing vehicle location guidance based on the signal strength of the Wi-Fi hotspot. Alternatively, the user terminal can simultaneously attempt to connect to the vehicle's Wi-Fi hotspot while sending a vehicle-finding command to the cloud device. Upon receiving parking location information and parking lot landmark information, it can output and display them, and if connected to the Wi-Fi hotspot, it can provide vehicle location guidance based on the overall signal strength of the Wi-Fi hotspot.

[0055] Furthermore, since the in-vehicle device may be in a low-power state, the cloud device can send a wake-up command first, or encapsulate the wake-up information and hotspot startup information in the same control command to first guide the in-vehicle device to start up, and then turn on the in-vehicle wireless hotspot.

[0056] Based on the above embodiments, when the cloud device receives a vehicle-finding command from a user terminal, it first acquires an image of the parking space environment associated with the target vehicle and identifies parking location information, such as floor information and area information, based on the parking space environment image. Subsequently, the cloud device matches at least one of the parking space environment image and parking location information with corresponding information from historical parking space environment images and historical parking location information. Based on the parking lot landmark information associated with the matched historical information, it determines the parking lot landmark information corresponding to the parking location information. Parking lot landmarks refer to facilities in the parking lot, such as entrances / exits and elevator lobbies, that can assist users in identifying their location. The cloud device can determine parking lot landmarks near the parking location through information matching. Then, it can send the parking location information and parking lot landmark information to the user terminal so that the user can find their vehicle based on these information. Finally, the cloud device can also send a hotspot activation command to the vehicle's onboard equipment to enable the onboard wireless hotspot. In this way, the present invention can send parking location information and parking lot landmark information related to the vehicle's parking location obtained through image recognition and information matching to the user terminal, and can guide the vehicle-mounted device to start the vehicle's wireless hotspot, so that the user terminal can provide vehicle search guidance based on the parking location information, parking lot landmark information and the signal strength of the vehicle's wireless hotspot. In the absence of vehicle positioning, it can assist users in finding their vehicles, thereby ensuring the efficiency of vehicle search for users.

[0057] Based on the above embodiments, the method for collecting parking lot landmark information is described below. In one possible case, before matching at least one of the parking space environment image and parking location information with corresponding information in the historical parking space environment image and historical parking location information, the method further includes: S151. Determine whether parking lot landmark information can be identified in the parking space environment image.

[0058] In this step, elevator lobby signs, staircase signs, entrance / exit signs, passageway signs, or the appearance of corresponding facilities can be identified in the parking space environment image. When at least one landmark can be identified, it indicates that the target vehicle is parked near a parking lot landmark, and the parking lot landmark information can be directly obtained.

[0059] S152. When parking lot landmark information can be identified, at least one of the parking space environment image and parking location information is associated with and saved with the identified parking lot landmark information.

[0060] In this step, when parking lot landmark information can be identified, this data can be used as new historical information for matching by other vehicles or other users in the future.

[0061] S153. When parking lot landmark information cannot be identified, proceed to the step of matching at least one of the parking space environment image and parking location information with the corresponding information in the historical parking space environment image and historical parking location information.

[0062] In this step, if parking lot landmark information cannot be identified in the parking space environment image, a step of matching with historical information is performed.

[0063] Furthermore, when historical information is insufficient, there may be instances where parking lot landmark information cannot be matched or the matching results are inaccurate. Therefore, historical information can be supplemented and corrected based on user feedback after they actually arrive at the target vehicle. This user feedback process may include the following steps: S161. When the location of the target vehicle is determined, a landmark feedback request is sent to the user terminal based on the matching result of the parking lot landmark information.

[0064] In this step, the landmark feedback request is used to obtain user feedback on the parking lot landmark information matching results. The cloud device can determine the location of the target vehicle when the signal strength of the in-vehicle wireless hotspot reaches the preset arrival conditions, the user performs the vehicle unlocking operation, the user actively confirms arrival, or other events indicating that the user is near the target vehicle are detected.

[0065] S162. If parking lot landmark information is obtained by matching, receive the landmark confirmation result returned by the user terminal, and update the association relationship between at least one of the parking space environment image and parking location information and the parking lot landmark information according to the landmark confirmation result.

[0066] In this step, the user terminal can display a confirmation prompt to check if the parking lot landmark information is correct. When the landmark confirmation result indicates that the matched parking lot landmark information is correct, the cloud device can establish an association between at least one of the parking space environment image and parking location information and the parking lot landmark information, or improve the credibility of an existing association. When the landmark confirmation result indicates that the matched parking lot landmark information is incorrect, the cloud device can choose not to save the current association, or reduce the credibility of an existing association.

[0067] S163. If no parking lot landmark information is found, receive parking lot landmark information fed back by the user terminal, and associate and save at least one of the parking space environment image and parking location information with the fed-back parking lot landmark information.

[0068] In this step, the user terminal can display a prompt to collect parking lot landmark information near the target vehicle's location, and provide preset landmark options or text input boxes. After receiving the parking lot landmark information from the user terminal, the cloud device can associate the feedback parking lot landmark information with at least one of the current parking space environment image and parking location information for matching in the subsequent vehicle search process.

[0069] It is evident that by verifying existing matching results or supplementing missing parking lot landmark information after a user arrives at the target vehicle, historical information can be gradually expanded and corrected as the user actually searches for the vehicle, reducing matching omissions or errors caused by insufficient initial historical information.

[0070] Based on the above embodiments, the implementation method of this method on the user terminal side is described below. Please refer to... Figure 3 , Figure 3 This is a flowchart of a vehicle search method applied to a user terminal, provided as an embodiment of the present invention.

[0071] S21. Send a vehicle search command to the cloud device so that the cloud device can obtain the parking space environment image associated with the target vehicle, determine the parking location information and parking lot landmark information based on the parking space environment image, and control the vehicle-mounted device of the target vehicle to turn on the vehicle-mounted wireless hotspot.

[0072] Users can select a target vehicle and initiate a vehicle search operation through the vehicle management interface on their user terminal. The user terminal adds the target vehicle identifier, user identity information, or session identifier to the vehicle search command and sends it to the cloud device. The cloud device can then obtain images of the parking space environment, determine the parking location information and parking lot landmark information, and control the in-vehicle equipment to turn on the in-vehicle Wi-Fi hotspot.

[0073] S22. Receive and display parking location information and parking lot landmark information sent by the cloud device.

[0074] The user terminal can display information in layers, such as first showing the parking lot and floor, then the area and parking space number, and using parking lot landmarks as supplementary prompts. Parking lot landmarks can be represented using text, icons, or simplified floor plans. Users can then choose the elevator, stairs, or entrance to reach their vehicle's floor and area based on this information.

[0075] S23. Search for the vehicle's Wi-Fi hotspot and establish a wireless connection with it.

[0076] The user terminal can search for the in-vehicle Wi-Fi hotspot corresponding to the target vehicle. If no hotspot is found within the search range, the user terminal can periodically re-search and prompt the user to continue to the vicinity of the floor, area, or parking lot landmark provided by the cloud device. After a successful connection, the user terminal begins to collect the Received Signal Strength Indicator (RSSI) of the in-vehicle Wi-Fi hotspot. RSSI is used to reflect the changes in the strength of the wireless signal at the user terminal's receiving end.

[0077] It should be noted that this embodiment does not limit the execution order of steps S21 and S23; they can be executed sequentially or simultaneously. For example, step S21 can be executed first, followed by step S23; step S23 can be executed first, followed by step S21; or steps S21 and S23 can be executed simultaneously. When executing S21 and S23 simultaneously, the user terminal can simultaneously attempt to connect to the vehicle's wireless hotspot while sending a vehicle-finding command to the cloud device. Upon receiving parking location information and parking lot landmark information, the terminal can output and display this information. Furthermore, when connected to the vehicle's wireless hotspot, the terminal can provide vehicle-finding guidance based on the signal strength of the wireless hotspot.

[0078] S24. When a wireless connection is established with the vehicle-mounted wireless hotspot, the signal strength of the vehicle-mounted wireless hotspot is collected during the user terminal's movement, and vehicle search guidance is provided based on changes in signal strength.

[0079] In one possible scenario, collecting the signal strength of the vehicle's wireless hotspot during the user terminal's movement and using changes in signal strength to guide vehicle location may include: S241. Obtain the direction of movement of the user terminal and collect the signal strength of the vehicle-mounted wireless hotspot during the movement along that direction.

[0080] The direction of movement can be determined based on one or more of the following: changes in the user terminal's position, acceleration information, angular velocity information, and orientation information. The user terminal can collect RSSI data according to a preset sampling period and establish a time correlation between continuous sampled values ​​and the corresponding direction of movement.

[0081] S242. Determine the direction of signal strength enhancement for the vehicle-mounted wireless hotspot based on changes in signal strength.

[0082] When the RSSI continuously increases after a user moves in a certain direction, that direction can be used as the signal strength enhancement direction. The user terminal can also compare the RSSI growth rate across different movement periods and select the direction with the larger increase as the current enhancement direction. If the RSSI does not show a stable increasing trend, the user can be prompted to adjust their movement direction, and sampling can continue in the new direction to obtain a more accurate signal strength enhancement direction.

[0083] S243. Based on the user terminal's attitude information, convert the signal strength enhancement direction into the vehicle guidance direction.

[0084] Attitude information can be obtained from one or more of the gyroscope, accelerometer, and orientation sensor in the user terminal, and is used to describe the user terminal's pose. The signal strength enhancement direction can first be represented as the direction in the parking space, and then converted to the coordinate direction corresponding to the display interface or camera image based on the attitude information to obtain the vehicle guidance direction. In this way, even if the user rotates the user terminal, the displayed arrow can still point to the corresponding spatial direction.

[0085] S244. Output vehicle guidance information based on the vehicle guidance direction.

[0086] In one feasible implementation, the user terminal acquires a real-world image of the parking lot in the current orientation and overlays vehicle guidance signs onto the real-world image to form augmented reality navigation. The vehicle guidance signs can be arrows, directional sectors, route lines, or other graphics that can express the direction of travel. The user terminal continuously updates the vehicle guidance direction and attitude information and synchronously updates the display direction of the vehicle guidance signs in the real-world image.

[0087] In another feasible implementation, the user terminal may not display the camera view, but instead output the vehicle guidance direction in a simplified compass interface, direction card, or vibration prompt interface.

[0088] Furthermore, the user terminal can determine whether the user has arrived near the target vehicle based on whether the RSSI reaches a preset strength, remains stable within a preset time, or triggers a proximity connection event. When the arrival conditions are met, the user terminal outputs an arrival prompt and can stop updating the guide arrows or switch to the vehicle confirmation screen.

[0089] Furthermore, to further enhance the convenience of vehicle location, the user terminal can remotely control the onboard equipment to flash the vehicle lights. In one possible scenario, this method may also include: S251. When a flashing light confirmation operation is received for the target vehicle, a flashing light request is sent to the cloud device so that the cloud device controls the target vehicle to perform the flashing light operation. S252, Output confirmation information to prompt the user to confirm the target vehicle according to the flashing light operation.

[0090] Once a user approaches the target vehicle, they can trigger a flashing light confirmation on their device. Upon receiving the flashing light request, the cloud-based device sends a lighting control command to the onboard equipment, which then controls the vehicle's lights to flash. Simultaneously, the user's device displays information to prompt the user to observe the flashing lights and confirm the vehicle's location. As a close-range auxiliary confirmation method, the flashing light function eliminates the need for horn use, thus minimizing disruption to quiet parking environments.

[0091] The following section provides a complete explanation of the vehicle locating method based on specific examples.

[0092] Please refer to Figure 4 , Figure 4 This is a structural block diagram of another vehicle finding system provided in an embodiment of the present invention. It adopts a three-layer architecture, from top to bottom: a mobile APP client (user terminal), a cloud service platform (cloud device), and an in-vehicle terminal system (in-vehicle device). The three layers interact via network communication (4G / 5G cellular network) to form a complete indoor vehicle finding closed-loop system. This system does not rely on a pre-built indoor map database or parking lot camera queries; instead, it infers the parking location based on environmental characteristics of the parking space recorded by the dashcam (floor markings, number of curves, pillar numbers, etc.), and then combines this with WiFi signal strength for real-time navigation guidance.

[0093] Module Function Introduction: Table 1 Mobile App Client Layer

[0094] Table 2 Cloud Service Platform Layer

[0095] Table 3 Vehicle Terminal System Layer

[0096] System core functions: 1. Parking location recognition: 1) Collect images of the parking environment around the vehicle.

[0097] 2) Feature information contained in the image: Floor signage: Signs such as "B1" and "B2" at the entrance; Pillar number: Which pillars you pass by (e.g., "C-052"); Environmental characteristics: changes in lighting, ceiling pipe layout, etc.

[0098] 3) When the vehicle is turned off, or when the user needs to find the vehicle, upload the parking space environment image to the cloud.

[0099] 4) Analyze videos in the cloud, identify the above feature combinations, and infer the parking floor and area.

[0100] 2. AR navigation principle: 1) The mobile phone continuously collects the RSSI value of the vehicle's WiFi hotspot; 2) The arrow points in the direction of the fastest RSSI enhancement; 3) The user moves by following the arrow; the stronger the signal, the closer they are to the vehicle. 4) Provide comprehensive guidance by combining the floor and area information returned from the cloud.

[0101] Please refer to Figure 5 , Figure 5 This is a schematic diagram of a vehicle locating process provided by an embodiment of the present invention. The overall process provided in this embodiment is divided into three stages: parking stage, vehicle locating stage, and navigation stage. The system uses video / image analysis captured by a dashcam to locate the floor area and combines it with WiFi signal strength to achieve AR real-scene navigation, without the need for GPS or pre-built indoor maps.

[0102] 1. Parking stage: The vehicle's 360° panoramic imaging system uses four cameras to take four photos. Key information such as floor, area, and parking space number are extracted from these four photos. By analyzing these features, the parking location can be inferred.

[0103] 2. Car finding stage: The cloud-based AI engine uses a CNN model to identify floor signs (such as "B2"), column numbers (such as "C-052"), and curve features in images, outputting accurate parking floors and areas.

[0104] Table 4 Instructions for the Car Finding Phase

[0105] 3. Navigation Phase: The arrow points in the direction of the fastest RSSI enhancement; as the user moves in that direction, the WiFi signal becomes stronger, indicating they are approaching the vehicle. AR navigation also incorporates floor and area information returned from the cloud, providing comprehensive guidance.

[0106] Table 5 Navigation Phase Operation Instructions

[0107] The beneficial effects of this invention are as follows: 1) Utilize in-vehicle WiFi hotspots as location beacons, without relying on GPS or other external infrastructure; 2) Primarily guided by AR visuals, supplemented by flashing lights, with no horn use whatsoever, meeting the environmental protection requirements of modern urban life and particularly suitable for nighttime or quiet environments; 3) Employs a deep learning CNN model (ResNet-50) to automatically identify floor markings and regional features in images, reducing the user's memory burden; 4) The directional guide arrow is superimposed on the phone's camera screen, and the arrow direction is updated in real time via the phone's gyroscope, making it intuitive and easy to use; 5) The vehicle can be remotely started via the APP and relevant sensors (camera, WiFi hotspot) can be automatically activated. The degree of automation is high and the user has to operate the vehicle.

[0108] The vehicle finding device, computer equipment, computer-readable storage medium, and computer program product provided in the embodiments of the present invention will be described below. The vehicle finding device, computer equipment, computer-readable storage medium, and computer program product described below can be referred to in correspondence with the vehicle finding method described above.

[0109] Please refer to Figure 6 , Figure 6 This is a structural block diagram of a vehicle finding device provided in an embodiment of the present invention. The device is applied to a cloud-based device and may include: The parking location recognition module 601 is used to acquire the parking space environment image associated with the target vehicle when it receives a car-finding command sent by the user terminal, and to recognize the parking location information based on the parking space environment image. The parking lot landmark matching module 602 is used to match at least one of the parking space environment image and parking location information with the corresponding information in the historical parking space environment image and historical parking location information, and determine the parking lot landmark information corresponding to the parking location information based on the parking lot landmark information associated with the matched historical information. Information sending module 603 is used to send parking location information and parking lot landmark information to user terminal; The hotspot activation module 604 is used to send a hotspot activation command to the vehicle's onboard equipment to enable the onboard wireless hotspot; the user terminal uses the parking location information, parking lot landmark information and the signal strength of the onboard wireless hotspot to guide the vehicle search.

[0110] Optionally, the parking location recognition module 601 may include: The image acquisition submodule is used to acquire parking space environment images collected and uploaded by the vehicle-mounted device of the target vehicle when it is parked; or, to send an image acquisition command to the vehicle-mounted device of the target vehicle so that the vehicle-mounted device can collect and upload parking space environment images; wherein, the vehicle-mounted device controls multiple cameras set at different positions of the target vehicle to collect parking space environment images respectively. The parking location recognition submodule is used to determine parking location information based on the recognition results of multiple parking space environment images.

[0111] Optionally, the parking lot landmark matching module 602 includes: The image matching module is used to perform image similarity matching between parking space environment images and historical parking space environment images; And / or, an environmental feature matching module is used to extract environmental features from the parking space environmental image and the historical parking space environmental image respectively, and match the environmental features corresponding to the parking space environmental image with the environmental features corresponding to the historical parking space environmental image; And / or, the information matching module, used to perform character similarity matching between parking location information and historical parking location information.

[0112] Optionally, the device may further include: The judgment module is used to determine whether parking lot landmark information can be identified in the parking space environment image; The association and storage module is used to associate and store at least one of the parking space environment image and parking location information with the identified parking location information when parking space landmark information can be identified in the parking space environment image, and then proceed to the step of sending parking location information and parking location information to the user terminal. The parking lot landmark matching module 602 can be used to match at least one of the parking lot landmark information and the parking location information with the corresponding information in the historical parking lot landmark information when the parking space environment image is not identifiable.

[0113] Please refer to Figure 7 , Figure 7 This is a structural block diagram of another vehicle finding device provided in an embodiment of the present invention. The device is applied to a user terminal and may include: The vehicle search command sending module 701 is used to send a vehicle search command to the cloud device so that the cloud device can obtain the parking space environment image associated with the target vehicle, determine the parking location information and parking lot landmark information based on the parking space environment image, and control the vehicle's on-board equipment to turn on the vehicle's wireless hotspot. The information receiving and display module 702 is used to receive and display parking location information and parking lot landmark information sent by the cloud device; Hotspot search module 703 is used to search for in-vehicle wireless hotspots and establish wireless connections with them. The vehicle search and guidance module 704 is used to collect the signal strength of the vehicle wireless hotspot during the user terminal's movement when a wireless connection is established with the vehicle wireless hotspot, and to guide the vehicle search based on changes in signal strength.

[0114] Optionally, the boot module 704 is searched, including: The signal strength acquisition submodule is used to obtain the user terminal's direction of movement and to acquire the signal strength of the vehicle-mounted wireless hotspot during the user terminal's movement along the direction of movement. The signal strength enhancement direction determination submodule is used to determine the signal strength enhancement direction of the vehicle-mounted wireless hotspot based on changes in signal strength. The guidance direction output submodule is used to convert the signal strength enhancement direction into the vehicle guidance direction based on the user terminal's attitude information, and output vehicle guidance information based on the vehicle guidance direction.

[0115] Optionally, the guide direction output submodule may include: The image acquisition unit is used to acquire real-time images of the parking lot that the user terminal is currently facing. The display direction conversion unit is used to determine the display direction of the vehicle guidance direction in the parking lot real-scene image based on the posture information of the user terminal. The overlay unit is used to overlay the vehicle guidance signs onto the parking lot real-scene image according to the display direction, and to update the display direction of the vehicle guidance signs when the vehicle guidance direction or posture information changes; The notification unit is used to output a notification message indicating that the target vehicle has been reached when the signal strength of the vehicle-mounted wireless hotspot meets the preset arrival conditions.

[0116] Optionally, the device may further include: The flashing light operation module is used to send a flashing light request to the cloud device when it receives a flashing light confirmation operation for the target vehicle, so that the cloud device controls the target vehicle to perform the flashing light operation; and outputs confirmation information to prompt the user to confirm the target vehicle according to the flashing light operation.

[0117] Please refer to Figure 8 , Figure 8 This is a structural block diagram of a computer device provided in an embodiment of the present invention. The present invention provides a computer device 10, including a processor 11 and a memory 12; wherein, the memory 12 is used to store a computer program; the processor 11 is used to execute the vehicle search method provided in the foregoing embodiment when executing the computer program.

[0118] The specific process of the above vehicle locating method can be found in the corresponding content provided in the foregoing embodiments, and will not be repeated here.

[0119] Furthermore, the memory 12, as a carrier for resource storage, can be a read-only memory, random access memory, disk, or optical disk, and the storage method can be temporary storage or permanent storage.

[0120] In addition, the computer device 10 also includes a power supply 13, a communication interface 14, an input / output interface 15, and a communication bus 16; wherein, the power supply 13 is used to provide operating voltage for each hardware device on the computer device 10; the communication interface 14 can create a data transmission channel between the computer device 10 and external devices, and the communication protocol it follows can be any communication protocol applicable to the technical solution of this invention, and is not specifically limited here; the input / output interface 15 is used to acquire external input data or output data to the outside world, and its specific interface type can be selected according to specific application needs, and is not specifically limited here.

[0121] This invention also provides a computer program product, including a computer program / instructions, which, when executed by a processor, implement the vehicle search method described in the above embodiments.

[0122] Since the embodiments of the computer program product section correspond to the embodiments of the vehicle search method section, please refer to the description of the embodiments of the vehicle search method section for the embodiments of the computer program product section, and will not be repeated here.

[0123] This invention also provides a computer-readable storage medium storing a computer program, which, when executed by a processor, implements the vehicle search method described in the above embodiments.

[0124] Since the embodiments of the computer-readable storage medium portion correspond to the embodiments of the vehicle finding method portion, the embodiments of the storage medium portion are described in the description of the embodiments of the vehicle finding method portion, and will not be repeated here.

[0125] The various embodiments in this specification are described in a progressive manner, with each embodiment focusing on its differences from other embodiments. Similar or identical parts between embodiments can be referred to interchangeably. For the apparatus disclosed in the embodiments, since it corresponds to the method disclosed in the embodiments, the description is relatively simple; relevant parts can be referred to the method section.

[0126] Those skilled in the art will further recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of both. To clearly illustrate the interchangeability of hardware and software, the components and steps of the various examples have been generally described in terms of functionality in the foregoing description. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementations should not be considered beyond the scope of this invention.

[0127] The steps of the methods or algorithms described in conjunction with the embodiments disclosed herein can be implemented directly by hardware, a software module executed by a processor, or a combination of both. The software module can be located in random access memory (RAM), main memory, read-only memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, hard disk, removable disk, CD-ROM, or any other form of storage medium known in the art.

[0128] The present invention has provided a detailed description of a vehicle locating method and apparatus. Specific examples have been used to illustrate the principles and implementation methods of the invention. The descriptions of these embodiments are merely illustrative and are intended to aid in understanding the method and core concepts of the invention. It should be noted that those skilled in the art can make various improvements and modifications to the invention without departing from its principles, and these improvements and modifications also fall within the scope of protection of the present invention.

Claims

1. A vehicle locator method, characterized in that, Applied to cloud devices, including: When a vehicle-finding command is received from a user terminal, the system acquires an image of the parking space environment associated with the target vehicle and identifies the parking location information based on the parking space environment image. At least one of the parking space environment image and the parking location information is matched with the corresponding information in the historical parking space environment image and historical parking location information, and the parking lot landmark information corresponding to the parking location information is determined based on the parking lot landmark information associated with the matched historical information. Send the parking location information and the parking lot landmark information to the user terminal; Send a hotspot activation command to the vehicle-mounted equipment of the target vehicle to enable the vehicle-mounted wireless hotspot; The user terminal uses the parking location information, the parking lot landmark information, and the signal strength of the vehicle-mounted wireless hotspot to provide vehicle location guidance.

2. The vehicle locating method according to claim 1, characterized in that, The acquisition of the parking space environment image associated with the target vehicle includes: Acquire parking space environment images collected and uploaded by the vehicle-mounted equipment of the target vehicle when it is parked; Alternatively, an image acquisition command may be sent to the onboard equipment of the target vehicle, so that the onboard equipment can collect and upload the parking space environment image; wherein the onboard equipment controls multiple cameras set at different positions of the target vehicle to collect the parking space environment image respectively. The step of identifying parking location information based on the parking space environment image includes: The parking location information is determined based on the recognition results of multiple parking space environment images.

3. The vehicle locating method according to claim 1, characterized in that, The step of matching at least one of the parking space environment image and the parking location information with corresponding information in historical parking space environment images and historical parking location information includes: The parking space environment image is matched with historical parking space environment images for image similarity matching. And / or, extract environmental features from the parking space environment image and the historical parking space environment image respectively, and match the environmental features corresponding to the parking space environment image with the environmental features corresponding to the historical parking space environment image; And / or, perform character similarity matching between the parking location information and the historical parking location information.

4. The vehicle locating method according to claim 1, characterized in that, Before matching at least one of the parking space environment image and the parking location information with corresponding information in the historical parking space environment image and historical parking location information, the method further includes: Determine whether the parking lot landmark information can be identified in the parking space environment image; When the parking space environment image can identify the parking lot landmark information, at least one of the parking space environment image and the parking location information is associated with and saved with the identified parking lot landmark information, and the process proceeds to the step of sending the parking location information and the parking lot landmark information to the user terminal. When the parking lot landmark information cannot be identified in the parking space environment image, the process proceeds to the step of matching at least one of the parking space environment image and the parking location information with the corresponding information in the historical parking space environment image and historical parking location information.

5. A vehicle locating method, characterized in that, Applied to user terminals, including: Send a vehicle search command to the cloud device so that the cloud device can obtain the parking space environment image associated with the target vehicle, determine the parking location information and parking lot landmark information based on the parking space environment image, and control the vehicle's on-board equipment to turn on the vehicle's wireless hotspot. Receive and display the parking location information and parking lot landmark information sent by the cloud device; Search for the vehicle's wireless hotspot and establish a wireless connection with it. When a wireless connection is established with the vehicle-mounted wireless hotspot, the signal strength of the vehicle-mounted wireless hotspot is collected during the movement of the user terminal, and vehicle search guidance is performed based on the changes in the signal strength.

6. The vehicle locating method according to claim 5, characterized in that, The step of collecting the signal strength of the vehicle-mounted wireless hotspot during the movement of the user terminal and guiding the vehicle search based on changes in the signal strength includes: The movement direction of the user terminal is obtained, and the signal strength of the vehicle-mounted wireless hotspot is collected during the movement of the user terminal along the movement direction. Based on the changes in signal strength, determine the direction of signal strength enhancement for the vehicle-mounted wireless hotspot; Based on the user terminal's posture information, the signal strength enhancement direction is converted into a vehicle guidance direction, and vehicle guidance information is output based on the vehicle guidance direction.

7. The vehicle locating method according to claim 6, characterized in that, The step of outputting vehicle guidance information according to the vehicle guidance direction includes: Collect a real-view image of the parking lot that the user terminal is currently facing; Based on the posture information of the user terminal, the display direction of the vehicle guidance direction in the real-world image of the parking lot is determined; According to the display direction, the vehicle guidance sign is superimposed on the real-world image of the parking lot, and the display direction of the vehicle guidance sign is updated when the vehicle guidance direction or the posture information changes. When the signal strength of the vehicle-mounted wireless hotspot meets the preset arrival conditions, a prompt message indicating that the vehicle has arrived near the target vehicle is output.

8. The vehicle locating method according to claim 5, characterized in that, The method further includes: When a flashing light confirmation operation is received for the target vehicle, a flashing light request is sent to the cloud device so that the cloud device controls the target vehicle to perform the flashing light operation; The output is used to prompt the user to confirm the target vehicle based on the flashing light operation.

9. A vehicle finding device, characterized in that, Applied to cloud devices, including: The parking location recognition module is used to obtain the parking space environment image associated with the target vehicle when it receives a car-finding command sent by the user terminal, and to recognize the parking location information based on the parking space environment image. The parking lot landmark matching module is used to match at least one of the parking space environment image and the parking location information with the corresponding information in the historical parking space environment image and historical parking location information, and determine the parking lot landmark information corresponding to the parking location information based on the parking lot landmark information associated with the matched historical information. The information sending module is used to send the parking location information and the parking lot landmark information to the user terminal; The hotspot activation module is used to send a hotspot activation command to the vehicle-mounted equipment of the target vehicle, so that the vehicle-mounted equipment can turn on the vehicle-mounted wireless hotspot; the user terminal uses the parking location information, the parking lot landmark information and the signal strength of the vehicle-mounted wireless hotspot to guide the vehicle search.

10. A vehicle finding device, characterized in that, Applied to user terminals, including: The vehicle search command sending module is used to send a vehicle search command to a cloud device so that the cloud device can obtain an image of the parking space environment associated with the target vehicle, determine the parking location information and parking lot landmark information based on the parking space environment image, and control the vehicle's on-board equipment to turn on the vehicle's wireless hotspot. An information receiving and display module is used to receive and display the parking location information and the parking lot landmark information sent by the cloud device; The hotspot search module is used to search for the vehicle-mounted wireless hotspots and establish a wireless connection with the vehicle-mounted wireless hotspots. The vehicle search and guidance module is used to collect the signal strength of the vehicle-mounted wireless hotspot during the movement of the user terminal when a wireless connection is established with the vehicle-mounted wireless hotspot, and to provide vehicle search and guidance based on the changes in the signal strength.

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