Information processing method and device, storage medium and vehicle

Abstract

The invention relates to an information processing method and device, a storage medium and a vehicle, and relates to the technical field of information analysis and processing.According to the information processing method and device, when target position information of a target object is determined, only at least two candidate scene images collected by image collection equipment need to be obtained, and the target position information of the target object is determined through the relevant information of the at least two candidate scene images; and the target position information of the target object can be calculated. According to the mode, the user does not need to know the basic information of the target object, and the user only needs to determine the target object, so that the target position information of the target object can be conveniently obtained.

Description

Technical Field

[0001] The present disclosure relates to the technical field of information analysis and processing, and in particular, to an information processing method, device, storage medium, and vehicle. Background Art

[0002] When a user needs to determine the geographic location of an object, the user can query the geographic location of the object with the help of a map. For example, the map can be zoomed in, and the user can determine the geographic location of the object by zooming in on the map. The user can also directly enter the name of the object in the search box on the map, so as to obtain the geographic location information of the object. Summary of the Invention

[0003] The present disclosure provides an information processing method, apparatus, storage medium, and vehicle that, when determining the target location information of a target object, merely requires obtaining at least two candidate scene images captured by an image acquisition device and utilizing the relevant information of the at least two candidate scene images to calculate and obtain the target location information of the target object. This method does not require the user to know basic information about the target object; the user only needs to determine the target object to conveniently obtain the target location information of the target object.

[0004] To achieve the above objectives, in a first aspect, the present disclosure provides an information processing method, comprising:

[0005] Acquire at least two candidate scene images captured by an image capture device, wherein each candidate scene image includes an image of a target object;

[0006] The target position information of the target object is obtained based on the relevant information when the above-mentioned image acquisition device acquires each candidate scene image; wherein the above-mentioned relevant information includes: the position information of the above-mentioned image acquisition device, and the direction information between the above-mentioned target object and the above-mentioned image acquisition device.

[0007] Optionally, the step of obtaining the target position information of the target object based on the relevant information when the image acquisition device acquires the images of each candidate scene includes:

[0008] Screening out at least one pair of candidate scene images that meet a preset screening condition from the at least two candidate scene images according to relevant information corresponding to each candidate scene image;

[0009] Obtaining target position information of the target object based on the relevant information corresponding to the at least one pair of candidate scene images screened out;

[0010] The above-mentioned preset screening conditions include at least one of the following:

[0011] The distance difference between the positions indicated by the two relevant information corresponding to the two candidate scene images;

[0012] The angular difference between the directions indicated by the two relevant information corresponding to the two candidate scene images.

[0013] Optionally, the above-mentioned information processing method is applied to a vehicle, and the above-mentioned image acquisition device is arranged on the top of the above-mentioned vehicle.

[0014] Optionally, the above method further includes:

[0015] When the object search function of the vehicle is turned on, displaying the image captured by the image capture device on the central control interface of the vehicle;

[0016] In response to detecting a selection operation on an object in the displayed image, the target object is determined.

[0017] Optionally, after determining the target object in response to detecting a selection operation on the object in the displayed image, the method further includes:

[0018] Upon detecting that the vehicle has traveled a preset distance, controlling the image acquisition device to acquire an image at least once;

[0019] When it is determined that the acquired image includes the image of the target object, the acquired image is determined as a candidate scene image.

[0020] Optionally, the above method further includes:

[0021] Determining an image in which a user performs an object selection operation as a first candidate scene image;

[0022] Based on the relevant information of the first candidate scene image, path indication information is generated to enable the image acquisition device to acquire a second candidate scene image that is paired with the first candidate image.

[0023] Optionally, the above method further includes:

[0024] Display the above target location information, and / or,

[0025] Display the navigation path to the target location indicated by the target location information.

[0026] Optionally, the above method further includes:

[0027] Display the above target location information;

[0028] In response to detecting a trigger operation for the target location information, determining a navigation path from the current location to the target location based on the current location information of the vehicle and the target location information;

[0029] Displays the above navigation path.

[0030] Optionally, obtaining the target position information of the target object based on the relevant information corresponding to the at least one pair of candidate scene images that have been screened includes:

[0031] Determine a pending position information for each pair of candidate scene image corresponding related information;

[0032] The target location information is determined based on the at least one piece of pending location information.

[0033] In a second aspect, the present disclosure provides an information processing device, comprising:

[0034] an acquisition module, configured to acquire at least two candidate scene images acquired by an image acquisition device, wherein each candidate scene image includes an image of a target object;

[0035] The position acquisition module is used to obtain the target position information of the target object based on the relevant information when the above-mentioned image acquisition device acquires each candidate scene image; wherein the above-mentioned relevant information includes: the position information of the above-mentioned image acquisition device, and the direction information between the above-mentioned target object and the above-mentioned device.

[0036] In a third aspect, the present disclosure provides a computer-readable storage medium having computer program instructions stored thereon, which, when executed by a processor, perform the steps of the above-mentioned method in the first aspect of the present disclosure.

[0037] In a fourth aspect, the present disclosure provides a vehicle, comprising:

[0038] a memory having a computer program stored thereon;

[0039] A processor; used to execute the computer program in the memory; to implement the steps of the above method of the first aspect of the present disclosure.

[0040] As can be seen, in the present disclosure, when determining the target position information of a target object, it is only necessary to obtain at least two candidate scene images captured by an image acquisition device and use the relevant information of at least two candidate scene images to calculate the target position information of the target object. This method does not require the user to know the basic information of the target object; the user only needs to determine the target object to conveniently obtain the target position information of the target object.

[0041] Other features and advantages of the present disclosure will be described in detail in the following detailed description. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] The accompanying drawings are used to provide a further understanding of the present disclosure and constitute a part of the specification. Together with the following detailed description, they are used to explain the present disclosure but do not constitute a limitation of the present disclosure. In the accompanying drawings:

[0043] Figure 1 is a flowchart of an information processing method according to an exemplary embodiment;

[0044] Figures 2A-2B is a schematic diagram showing the intersection of two non-parallel lines according to an exemplary embodiment;

[0045] Figure 3 is a schematic diagram showing a display of a central control interface according to an exemplary embodiment;

[0046] Figure 4 is a schematic diagram showing a scene of a vehicle photographing a building according to an exemplary embodiment;

[0047] Figure 5 is a connection block diagram of an information processing device according to an exemplary embodiment;

[0048] Figure 6 It is a schematic functional block diagram of a vehicle according to an exemplary embodiment. DETAILED DESCRIPTION

[0049] The following describes the specific embodiments of the present disclosure in detail with reference to the accompanying drawings. It should be understood that the specific embodiments described herein are only used to illustrate and explain the present disclosure and are not intended to limit the present disclosure.

[0050] In life, users often face the need to query the specific geographical location of an object. For example, when a user wants to know the distance from the object, the user wants to know the specific location of the object, etc., the user may need to query the location information of the object.

[0051] In related technologies, users can enter the name of an object on a map to display its geographic location. However, this method of determining the geographic location requires that the user know the object's name in advance. Users can also search for the object directly on the map. However, due to the large size of the map, this method has a low success rate for accurately finding the object and often takes a long time to accurately locate the object.

[0052] That is, when the user has no basic concept of an object (the object name, the approximate location of the object, etc. can be understood as the basic concept of the object), for example, the user is interested in an object in the captured image and may want to know the specific location information of the object; at this time, since the user does not know the name of the object and the approximate location of the object, it is difficult for the user to obtain the specific location information of the object through relevant technologies.

[0053] The information processing method provided by the present disclosure can determine the target position information through the relevant information of at least two candidate scene images. In this process, the user does not need to know the specific name of the object. The user only needs to determine the target object from the image to determine the target position information of the target object. It can be seen that the method disclosed in the present disclosure can efficiently and conveniently realize the determination of the target position information even if the user does not know the basic information of the target object.

[0054] See also Figure 1 , Figure 1 A flow chart of the information processing method provided by the present disclosure, comprising Figure 1 It can be seen that the information processing method may include the following steps.

[0055] In S12, at least two candidate scene images captured by an image capture device are acquired.

[0056] Here, each candidate scene image may include an image of a target object.

[0057] As an example, the acquisition positions corresponding to the candidate scene images may be different, that is, it can be understood that at least two candidate scene images are obtained by acquiring images of the target object at at least two different positions.

[0058] In S14, target position information of the target object is obtained based on relevant information when the image acquisition device acquires images of each candidate scene.

[0059] Here, the relevant information may include: location information of the image acquisition device, and direction information between the target object and the image acquisition device.

[0060] Here, the target location information may include at least information indicating the geographic location of the target object. As an example, since the acquisition locations corresponding to the candidate scene images may be different, the directions between the target object and the acquisition device may also be different.

[0061] As an example, the direction information between the target object and the image acquisition device may indicate the direction of the target object relative to the image acquisition device.

[0062] As an example, the relevant information may include the location information of the acquisition device and the direction information between the target object and the image acquisition device. In this way, the location information of the object may be calculated by using the principle that two non-parallel lines must converge at one point.

[0063] As can be seen, in the present disclosure, when determining the target position information of a target object, it is only necessary to obtain at least two candidate scene images captured by an image acquisition device and use the relevant information of at least two candidate scene images to calculate the target position information of the target object. This method does not require the user to know the basic information of the target object; the user only needs to determine the target object to conveniently obtain the target position information of the target object.

[0064] In some embodiments, the step of “obtaining target position information of the target object based on relevant information when the image acquisition device acquires images of each candidate scene” in S14 may specifically include:

[0065] According to the relevant information corresponding to each candidate scene image, at least one pair of candidate scene images that meet the preset screening conditions are screened out from at least two candidate scene images; and according to the relevant information corresponding to the screened at least one pair of candidate scene images, the target position information of the target object is obtained.

[0066] Here, the preset filtering conditions include at least one of the following:

[0067] The distance difference between the positions indicated by the two relevant information corresponding to the two candidate scene images;

[0068] The angular difference between the directions indicated by the two relevant information corresponding to the two candidate scene images.

[0069] For example, based on the principle that two non-parallel lines (here, lines passing through the target object and the image acquisition device) must converge at a point, the object's position information can be calculated. In other words, a pair of candidate scene images can be screened from the candidate scene images, and the target object's target position information can be obtained based on at least one of the screened candidate scene images.

[0070] As an example, when the distance difference between the positions indicated by the two relevant information corresponding to the two candidate scene images is larger, and the angle difference between the directions indicated by the two relevant information corresponding to the two candidate scene images is also larger, the target position information of the target object obtained by calculation can be made more accurate. Therefore, preset conditions can be set to screen out at least one pair of candidate scene images from at least two candidate scene images, so that the obtained target position information can be made more accurate.

[0071] In some implementations, the distance between the capture locations corresponding to the two candidate scene images in a pair of candidate scene images should be greater than a preset distance. Accordingly, the angular difference between the two directions indicated by the two candidate scene images in the pair of candidate scene images should also be greater than a preset angular threshold. This can result in a larger angular deviation between the two lines, thereby more accurately determining the target location information.

[0072] For easier understanding, you can combine Figures 2A-2B To explain, Figures 2A-2B It can be understood as a schematic diagram of the intersection of two non-parallel lines, combined with Figures 2A-2B It can be seen that when the angle difference between the two lines is large, the area of ​​the intersection is smaller, so the target position information can be determined more accurately.

[0073] It can be seen that in the present disclosure, by screening out at least one pair of candidate scene images that meet the preset screening conditions from at least two candidate scene images, and then using the screened out at least one pair of candidate scene images, the target position information can be determined more accurately.

[0074] In some embodiments, obtaining target position information of the target object based on relevant information corresponding to the at least one pair of candidate scene images screened out may specifically include:

[0075] For each pair of relevant information corresponding to the candidate scene images, a piece of pending position information is determined; and based on the at least one piece of determined pending position information, the target position information is determined.

[0076] That is, there may be multiple pairs of at least one candidate scene image. In this way, multiple pieces of position information can be determined. At this time, the target position information can be determined based on the multiple pieces of position information. For example, if three pairs of candidate scene images are determined, three pieces of position information can be determined, and then the target position information can be determined. For example, if the positions indicated by two of the three pieces of position information are relatively close, and the position indicated by the other piece of position information is farther away from the positions indicated by the other pieces of position information, the two pieces of position information that are closer in the three pieces of position information can be integrated to determine the target position information. This method can make the determined target position information more accurate.

[0077] In some embodiments, the information processing method can be applied to a vehicle, and the image acquisition device can be set on the top of the vehicle.

[0078] As an example, the image acquisition device is set on the top of the vehicle, so that the scene image can be better captured, for example, it is convenient to capture the scene image farther away.

[0079] In some embodiments, the above-mentioned information processing method may also include: when the object search function of the vehicle is turned on, displaying the image captured by the image acquisition device on the central control interface of the vehicle; and determining the target object in response to detecting a selection operation for an object in the displayed image.

[0080] For example, a user can input a command to activate the object search function, at which point the vehicle's central control interface can display images captured by the image acquisition device. Of course, the method by which the user inputs the command can be set according to the actual situation. For example, the user can input a certain voice message or trigger a button set on the vehicle.

[0081] As an example, when the object search function of the vehicle is turned on, it can indicate that the user may want to confirm the target object at this time, so the image captured by the image capture device can be displayed to allow the user to confirm the target object.

[0082] Of course, the specific form of the selection operation can also be limited according to actual conditions. For example, the selection operation can be any operation such as a click operation, a double-click operation, a long press operation, a frame selection operation, etc. on the displayed object.

[0083] As an example, after detecting that a user performs a selection operation on an object, the object can be determined as a target object, so that the vehicle can perform the step of determining target position information of the target object.

[0084] For easier understanding, you can combine Figure 3 A schematic diagram illustrating the target object selected for this application is provided. Figure 3 It can be understood as a schematic diagram of the scene image displayed on the central control interface. Figure 3 It can be seen that after the central control interface displays the scene diagram, the user can perform selection operations on the object images therein, for example, Figure 3 If the user performs a selection operation on the image corresponding to object A, object A can be determined as the target object.

[0085] In order to better understand the idea of ​​determining the target location information of the target object in the present disclosure, it can be combined with Figure 4 To explain, Figure 4 It can be understood as a schematic diagram of a vehicle shooting at a building at different locations. Figure 4 In the equation, (X1, Y1), (X2, Y2) and (X3, Y3) can be understood as the position of the vehicle in the plane coordinate system, and (xm, ym) can be understood as the position of the building in the plane coordinate system; α and β are the direction angles of the building in the plane coordinate system. At this time, α≠β. Then, according to the following formula:

[0086]

[0087] ym=(xm-x1)tanα+y1

[0088] Then, the obtained xm, ym is converted into longitude and latitude coordinates to determine the specific location information of the building. After that, the location of the building can be displayed in combination with the in-vehicle map.

[0089] In some embodiments, in response to detecting a selection operation on an object in a displayed image and determining the target object, the method may further include:

[0090] When it is detected that the vehicle travels a preset distance, the image acquisition device is controlled to perform at least one image acquisition; when it is determined that the acquired image includes an image of the target object, the acquired image is determined as a candidate scene image.

[0091] From the above analysis, we can see that since each candidate scene image corresponds to a different capture location, the target location information determined using the candidate scene images is more accurate. Therefore, the image capture device is controlled to capture at least one image for each predetermined distance traveled by the vehicle. This reduces the number of captured images and increases the likelihood that the captured images are candidate scene images.

[0092] In some implementations, the preset distance can be set to 50 meters. Of course, in a specific real-time mode, a specific value for the preset distance can also be set based on actual needs. Setting the preset distance to 50 meters not only allows the vehicle to change its position, but also prevents the vehicle from traveling too far, which would prevent the image capture device installed on the top of the vehicle from capturing the scene image including the target object.

[0093] The following is a possible application scenario of the present disclosure to better understand the concept of the present disclosure:

[0094] For example, when a user drives a vehicle onto an overpass, the vehicle's image acquisition device may capture images of distant buildings. If the user is interested in Building A, they can directly identify Building A as the target object (for example, they can click on the image corresponding to Building A or directly perform a selection operation on Building A. Of course, the specific selection operation can be reasonably set according to the actual situation). At this time, during the driving process of the vehicle, if at least one pair of candidate scene images is captured (each candidate scene image can include an image of Building A), the location information of Building A can be determined based on the at least one pair of candidate scene images. In this way, the user only needs to perform a selection operation on the presented image while driving to obtain the target location information for the target object.

[0095] In related technologies, there is also a method of using laser radar to determine position information. However, the use of laser radar to determine the position information of objects is usually used to determine the position information of objects that are relatively close. For objects that are relatively far away, laser radar cannot accurately determine the position of the objects.

[0096] Compared with the related art, the method disclosed in the present invention can not only save hardware costs, but also obtain the target location information of the target object more conveniently and efficiently when the target object is far away from the user.

[0097] In some embodiments, an image in which a user performs an object selection operation is determined as a first candidate scene image; based on relevant information of the first candidate scene image, path indication information is generated so that the image acquisition device acquires a second candidate scene image that is paired with the first candidate image.

[0098] As an example, the path indication information can indicate the direction the user is driving, which can make it easier for the image acquisition device set on the vehicle to capture a second candidate scene image that matches the first candidate scene image, allowing the user to drive the vehicle more purposefully so as to more efficiently determine the target location information.

[0099] It should be noted that the path indication information may be general indication information, for example, it may only instruct the user to drive in a certain general direction as much as possible. In this way, it is convenient for the user to make reasonable plans according to the current actual road conditions.

[0100] In some embodiments, the above information processing method may further include:

[0101] Display the target location information, and / or display the navigation path to the target location indicated by the target location information.

[0102] As an example, after the target location information of the target object is obtained, the target location information can be directly displayed, so that the user can know the location information of the target object.

[0103] As an example, the navigation path to the target location indicated by the target location information may also be directly displayed, so that the user can know the specific distance to the target location and can directly drive to the target location according to the navigation path.

[0104] As an example, both the target location information and the navigation path may be displayed.

[0105] Of course, after obtaining the target location information, the specific display method can be limited according to actual conditions.

[0106] It should be noted that, in the present disclosure, after the target location information is determined, a map may be called to determine a navigation path.

[0107] In some embodiments, target location information is displayed; in response to detecting a trigger operation for the target location information, a navigation path from the current location to the target location is determined based on the vehicle's current location information and the target location information; and the navigation path is displayed.

[0108] For example, by displaying target location information and then displaying a navigation route after the user triggers the target location information, the user can simply trigger the displayed target location information when they need to go to the target object while driving. This makes it easier for the driver to operate without overly disturbing the driver.

[0109] For example, the driver may be using the vehicle navigation system. If the navigation path is displayed directly, it may interfere with the driver. In this way, excessive disturbance to the driver can be avoided, and when the driver needs to go to the target location indicated by the target location information, it can be convenient for the driver to operate so that the interface displays the navigation path.

[0110] In some embodiments, every time the vehicle travels a preset distance, the image acquisition device is controlled to capture images at least once; when the captured image includes an image of the target object, the captured image is determined as a candidate scene image.

[0111] Based on the same inventive concept, the present disclosure also provides an information processing device, see Figure 5 The information processing device 500 may include an acquisition module 510 and a position acquisition module 520.

[0112] An acquisition module 510 is configured to acquire at least two candidate scene images captured by an image acquisition device, wherein each candidate scene image includes an image of a target object;

[0113] The position acquisition module 520 is used to obtain the target position information of the target object based on the relevant information of the above-mentioned image acquisition device when acquiring each candidate scene image; wherein the above-mentioned relevant information includes: the position information of the above-mentioned image acquisition device, and the direction information between the above-mentioned target object and the above-mentioned device.

[0114] Optionally, the position obtaining module 520 is further configured to: screen out at least one pair of candidate scene images that meet a preset screening condition from the at least two candidate scene images according to relevant information corresponding to each candidate scene image;

[0115] Obtaining target position information of the target object based on the relevant information corresponding to the at least one pair of candidate scene images screened out;

[0116] The above-mentioned preset screening conditions include at least one of the following:

[0117] The distance difference between the positions indicated by the two relevant information corresponding to the two candidate scene images;

[0118] The angular difference between the directions indicated by the two relevant information corresponding to the two candidate scene images.

[0119] Optionally, the above-mentioned information processing method is applied to a vehicle, and the above-mentioned image acquisition device is arranged on the top of the above-mentioned vehicle.

[0120] Optionally, the information processing device 500 is further configured to: display the image captured by the image capture device on the central control interface of the vehicle when the object search function of the vehicle is turned on;

[0121] In response to detecting a selection operation on an object in the displayed image, the target object is determined.

[0122] Optionally, after determining the target object in response to detecting a selection operation on the object in the displayed image, the information processing device 500 is further configured to: control the image acquisition device to capture an image at least once every time the vehicle travels a preset distance;

[0123] When it is determined that the acquired image includes the image of the target object, the acquired image is determined as a candidate scene image.

[0124] Optionally, the information processing device 500 is further configured to: determine an image in which the user performs an object selection operation as a first candidate scene image;

[0125] Based on the relevant information of the first candidate scene image, path indication information is generated to enable the image acquisition device to acquire a second candidate scene image that is paired with the first candidate image.

[0126] Optionally, the information processing device 500 is further configured to: display the target location information, and / or,

[0127] Display the navigation path to the target location indicated by the target location information.

[0128] Optionally, the information processing device 500 is further configured to: display the target location information;

[0129] In response to detecting a trigger operation for the target location information, determining a navigation path from the current location to the target location based on the current location information of the vehicle and the target location information;

[0130] Displays the above navigation path.

[0131] Optionally, the position obtaining module 520 is further configured to: determine a pending position information for each pair of relevant information corresponding to the candidate scene images;

[0132] The target location information is determined based on the at least one piece of pending location information.

[0133] Regarding the apparatus in the above embodiment, the specific manner in which each module performs operations has been described in detail in the embodiment of the method, and will not be elaborated here.

[0134] Based on the same inventive concept, the present disclosure further provides a computer-readable storage medium having computer program instructions stored thereon. When the program instructions are executed by a processor, the steps of the information processing method provided by the present disclosure are implemented. For example, the non-transitory computer-readable storage medium may be a ROM, a random access memory (RAM), a CD-ROM, a magnetic tape, a floppy disk, an optical data storage device, or the like.

[0135] Based on the same inventive concept, the present disclosure further provides a controller comprising a processor and a memory for storing processor-executable instructions, wherein the processor is configured to execute the steps of the information processing method provided by the present disclosure. For example, the controller may be a vehicle controller.

[0136] Based on the same inventive concept, the present disclosure also provides a vehicle, which includes the controller provided by the present disclosure.

[0137] Please refer to Figure 6 , Figure 6 6 is a functional block diagram of a vehicle according to an exemplary embodiment. Vehicle 600 may include various subsystems, such as an infotainment system 610, a perception system 620, a decision-making and control system 630, a drive system 640, and a computing platform 650. Vehicle 600 may include more or fewer subsystems, and each subsystem may include multiple components. Furthermore, each subsystem and each component of vehicle 600 may be interconnected via wired or wireless means.

[0138] In some embodiments, the infotainment system 610 may include a communication system, an entertainment system, a navigation system, and the like.

[0139] The perception system 620 may include several sensors for sensing information about the environment surrounding the vehicle 600. For example, the perception system 620 may include a global positioning system (which may be a GPS system, a BeiDou system, or other positioning systems), an inertial measurement unit (IMU), a laser radar, a millimeter-wave radar, an ultrasonic radar, and a camera.

[0140] The decision control system 630 may include a computing system, a vehicle controller, a steering system, a throttle, and a braking system.

[0141] The drive system 640 may include components that provide power to the vehicle 600. In one embodiment, the drive system 640 may include an engine, an energy source, a transmission system, and wheels. The engine may be an internal combustion engine, an electric motor, an air compression engine, or a combination thereof. The engine is capable of converting energy provided by the energy source into mechanical energy.

[0142] Some or all functions of the vehicle 600 are controlled by a computing platform 650. The computing platform 650 may include at least one processor 651 and a memory 652. The processor 651 may execute instructions 653 stored in the memory 652.

[0143] The processor 651 can be any conventional processor, such as a commercially available CPU. The processor can also include a graphics processor (GPU), a field programmable gate array (FPGA), a system on chip (SOC), an application specific integrated circuit (ASIC), or a combination thereof.

[0144] The memory 652 may be implemented by any type of volatile or non-volatile memory device or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic disk, or optical disk.

[0145] In addition to instructions 653 , memory 652 may also store data, such as road maps, route information, and vehicle location, direction, speed, etc. The data stored in memory 652 may be used by computing platform 650 .

[0146] In the embodiment of the present disclosure, the processor 651 may execute the instruction 653 to complete all or part of the steps of the above-mentioned information processing method.

[0147] The preferred embodiments of the present disclosure are described in detail above in conjunction with the accompanying drawings. However, the present disclosure is not limited to the specific details of the above embodiments. Within the technical concept of the present disclosure, various simple modifications can be made to the technical solutions of the present disclosure, and these simple modifications all fall within the scope of protection of the present disclosure.

[0148] It should also be noted that the various specific technical features described in the above specific embodiments can be combined in any appropriate manner without contradiction.

[0149] In addition, the various embodiments of the present disclosure may be arbitrarily combined, and as long as they do not violate the concept of the present disclosure, they should also be regarded as the contents disclosed by the present disclosure.

Claims

1. An information processing method, characterized in that: include: Acquire at least two candidate scene images captured by an image capture device, wherein each candidate scene image includes an image of a target object; The target position information of the target object is obtained based on the relevant information when the image acquisition device acquires each candidate scene image; wherein the relevant information includes: the position information of the image acquisition device, and the direction information between the target object and the image acquisition device.

2. The method according to claim 1, characterized in that The obtaining of target position information of the target object according to relevant information when the image acquisition device acquires images of each candidate scene includes: screening at least one pair of candidate scene images that meet a preset screening condition from the at least two candidate scene images according to relevant information corresponding to each candidate scene image; Obtaining target position information of the target object based on the relevant information corresponding to the at least one pair of candidate scene images that have been screened out; The preset screening condition includes at least one of the following: The distance difference between the positions indicated by the two relevant information corresponding to the two candidate scene images; The angular difference between the directions indicated by the two relevant information corresponding to the two candidate scene images.

3. The method according to claim 1 or 2, characterized in that The information processing method is applied to a vehicle, and the image acquisition device is arranged on the top of the vehicle.

4. The method according to claim 3, characterized in that The method further comprises: When the object search function of the vehicle is turned on, displaying the image captured by the image capture device on the central control interface of the vehicle; In response to detecting a selection operation on an object in the displayed image, the target object is determined.

5. The method according to claim 4, characterized in that After determining the target object in response to detecting a selection operation on an object in the displayed image, the method further includes: When it is detected that the vehicle travels a preset distance, the image acquisition device is controlled to acquire an image at least once; When it is determined that the acquired image includes the image of the target object, the acquired image is determined as a candidate scene image.

6. The method according to claim 4, characterized in that The method further comprises: Determining an image in which a user performs an object selection operation as a first candidate scene image; Based on the relevant information of the first candidate scene image, path indication information is generated to enable the image acquisition device to acquire a second candidate scene image that is paired with the first candidate image.

7. The method according to claim 3, characterized in that The method further comprises: Displaying the target location information, and / or, The navigation path to the target location indicated by the target location information is displayed.

8. The method according to claim 3, characterized in that The method further comprises: displaying the target location information; In response to detecting a trigger operation for the target location information, determining a navigation path from the current location to the target location based on the current location information of the vehicle and the target location information; The navigation path is displayed.

9. The method according to claim 2, characterized in that Obtaining the target position information of the target object based on the relevant information corresponding to the at least one pair of candidate scene images that have been screened includes: Determine a pending position information for each pair of candidate scene image corresponding related information; The target location information is determined based on the at least one piece of pending location information that has been determined.

10. An information processing device, characterized in that: include: an acquisition module, configured to acquire at least two candidate scene images acquired by an image acquisition device, wherein each candidate scene image includes an image of a target object; A position acquisition module is used to obtain target position information of the target object based on relevant information when the image acquisition device acquires each candidate scene image; wherein the relevant information includes: position information of the image acquisition device, and direction information between the target object and the device.

11. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that: When the program is executed by a processor, the steps of the method according to any one of claims 1 to 9 are implemented.

12. A vehicle, characterized in that: include: a memory having a computer program stored thereon; A processor, configured to execute the computer program in the memory to implement the steps of the method according to any one of claims 1 to 9.

Images