CN114838763B - Obstacle detection method, VR glasses and storage medium - Google Patents
Obstacle detection method, VR glasses and storage medium Download PDFInfo
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Abstract
The present disclosure relates to an obstacle detection method for VR glasses, and a storage medium. The obstacle detection method is applied to VR glasses and comprises the following steps: detecting an obstacle in a first detection mode, and determining first information of the obstacle, wherein the first information of the obstacle at least comprises the temperature of the obstacle; detecting the obstacle through a second detection mode under the condition that the temperature of the obstacle is in a preset temperature interval, and determining the approaching speed of the obstacle; notifying the wearer of the VR glasses of the condition of the obstacle according to the first information of the obstacle and the approaching speed of the obstacle.
Description
Technical Field
The disclosure relates to intelligent electronic devices, in particular to an obstacle detection method for VR glasses, VR glasses and a storage medium.
Background
With the gradual development of VR (Virtual Reality) devices, VR applications and games are gradually increased, and VR glasses become common articles in daily life of people and play an increasingly important role in the life of people. However, the VR glasses have a relatively high sealing requirement, and the eyes are isolated from the outside, so that no external situation is observed when the VR glasses are worn for playing a game, and at this time, if there is an obstacle around the wearer of the VR device, or if the wearer moves near the wall, a danger may occur, so that it is necessary to provide VR glasses capable of detecting the obstacle.
Disclosure of Invention
The embodiments of the present disclosure provide a method for detecting an obstacle, VR glasses and a storage medium, which may enable VR glasses to detect an obstacle around a wearer.
According to a first aspect of the present disclosure, there is provided a play control method of smart glasses, including: detecting an obstacle in a first detection mode, and determining first information of the obstacle, wherein the first information of the obstacle at least comprises the temperature of the obstacle; detecting the obstacle through a second detection mode under the condition that the temperature of the obstacle is in a preset temperature interval, and determining the approaching speed of the obstacle; notifying the wearer of the VR glasses of the condition of the obstacle according to the first information of the obstacle and the approaching speed of the obstacle
According to a second aspect of the present disclosure there is provided VR glasses comprising a memory, a processor and a program stored on the memory and executable on the processor for obstacle detection configured to implement the steps of the method of obstacle detection of any one of the first aspects of the present disclosure.
According to a third aspect of the present disclosure there is provided a storage medium having stored thereon computer instructions which when executed by a processor implement the steps of the method of obstacle detection of any of the first aspects of the present disclosure.
One beneficial effect of the disclosed embodiments is that VR glasses can detect the temperature of surrounding obstacles to judge whether the obstacles are movable obstacles, and detect the approaching speed of the obstacles according to the requirements, and inform the wearer of the conditions of the obstacles. Through the mode, the VR glasses can help the wearer to detect the surrounding obstacle, and the moving speed of the obstacle is detected only under the condition that the obstacle is a movable obstacle, so that the energy consumption is saved, and the user experience is improved.
Other features of the disclosed embodiments and their advantages will become apparent from the following detailed description of exemplary embodiments of the disclosure, which proceeds with reference to the accompanying drawings.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments of the disclosure and together with the description, serve to explain the principles of the embodiments of the disclosure.
FIG. 1 illustrates a flow chart of a method of obstacle detection of an embodiment of the present disclosure;
2-4 illustrate schematic diagrams of examples of obstacle detection according to embodiments of the present disclosure;
fig. 5 shows a block diagram of VR glasses in accordance with an embodiment of the present disclosure.
Detailed Description
Various exemplary embodiments of the present disclosure will now be described in detail with reference to the accompanying drawings. It should be noted that: the relative arrangement of the components and steps, numerical expressions and numerical values set forth in these embodiments do not limit the scope of the present application unless it is specifically stated otherwise.
The following description of at least one exemplary embodiment is merely exemplary in nature and is in no way intended to limit the application, its application, or uses.
Techniques, methods, and apparatus known to one of ordinary skill in the relevant art may not be discussed in detail, but are intended to be part of the specification where appropriate.
In all examples shown and discussed herein, any specific values should be construed as merely illustrative, and not a limitation. Thus, other examples of exemplary embodiments may have different values.
It should be noted that: like reference numerals and letters denote like items in the following figures, and thus once an item is defined in one figure, no further discussion thereof is necessary in subsequent figures.
The implementation of the application provides a method for detecting obstacles, which is applied to VR glasses, as shown in figure 1, and comprises the steps S11-S13.
Step S11, detecting the obstacle through a first detection mode, and determining first information of the obstacle, wherein the first information of the obstacle at least comprises the temperature of the obstacle.
In one example of this embodiment, an infrared laser detection module is provided in VR glasses, and detects an obstacle by a first detection mode, and determines first information of the obstacle, including: detecting an obstacle through an infrared laser detection module, and determining first information of the obstacle.
In one example of this embodiment, the first information of the obstacle includes a temperature of the obstacle and a distance of the obstacle from the VR glasses. Specifically, an infrared laser detection module can be arranged in the VR glasses, and the infrared laser detection module can emit infrared laser and is used for detecting the relative distance between the obstacle and the VR glasses and the temperature of the obstacle. As an example of this embodiment, the infrared laser detection module may be an infrared laser sensor, where the infrared laser sensor may emit infrared laser light, and measure the distance of the obstacle from the VR glasses and the temperature of the obstacle by receiving the reflected infrared laser light.
In one example of the present embodiment, detecting an obstacle by an infrared laser detection module, determining first information of the obstacle, includes: the infrared laser detection module is controlled to emit a plurality of infrared lasers in different directions in the front direction so as to form an infrared laser network in the front direction.
For example, the infrared laser detection module may include a 20-channel infrared laser sensor, where each channel of the infrared laser sensor may emit an elongated infrared laser beam forward. The infrared laser sensor of the 20 paths of channels can emit a plurality of long infrared lasers in different directions to form an infrared laser network. The infrared laser sensor of the 20 paths of channels emits 20 long infrared lasers in different directions forwards, wherein the 20 long infrared lasers comprise 10 transverse infrared lasers and 10 longitudinal infrared lasers, and an infrared laser network shown in fig. 2 is formed. The 20 infrared laser beams with different directions form an infrared laser network. The distance between the obstacle and the VR glasses and the temperature of the obstacle can be detected by the long infrared laser of each channel.
It should be noted that, although the example describes the infrared laser sensor with 20 channels and the specific composition of the infrared laser network, it should be understood by those skilled in the art that the disclosure is not limited thereto and may be flexibly set according to actual requirements.
In one example of this embodiment, the first information of the obstacle includes a distance of the obstacle from the VR glasses and a size of the obstacle, detecting the obstacle by the infrared laser detection module, determining the first information of the obstacle includes: obtaining distance information detected by infrared lasers, determining target infrared lasers according to the distance information detected by different infrared lasers, wherein the target infrared lasers are infrared lasers for detecting obstacles, determining the distance between the obstacles and VR glasses according to the distance information detected by the target infrared lasers, and determining the size of the obstacles according to the emitting direction of the target infrared lasers and the distance information detected by the target infrared lasers.
In one example of this embodiment, as shown in fig. 3, the infrared laser detection module may include a 20-channel infrared laser sensor, and may emit 20 long infrared lasers in different directions in the front direction, so as to form an infrared laser network. When an obstacle is present in front of the VR glasses, the obstacle can be detected by the long infrared laser in the infrared laser network.
Specifically, for example, when one person is present in front of the VR glasses, the detected distance of 6 infrared lasers in the transverse lasers in the infrared laser network is about two meters, and the detected distance of the remaining transverse lasers is significantly more than 2 meters, it can be determined that the 6 infrared lasers are lasers for detecting the obstacle, that is, the target infrared laser. Similarly, if the distance detected by 4 infrared lasers in the longitudinal lasers in the infrared laser network is about two meters, and the distance detected by the other longitudinal lasers is obviously more than 2 meters, it can be determined that the 4 infrared lasers are lasers for detecting the obstacle, namely the target infrared lasers. According to the distance information detected by the infrared laser, the distance between the obstacle and the VR glasses can be determined to be 2 meters.
In addition, the size of the obstacle may include the height of the obstacle, the width of the obstacle, the area of the obstacle, and the like, according to the emission direction (emission angle) of the detection target infrared laser light and the size of the target infrared laser light. For example, as shown in fig. 4, point a is the point where the VR glasses infrared laser transmitter is located, AB, AC are the target infrared laser among the transverse lasers, AB is the uppermost transverse laser beam in which an obstacle is detected, and AC is the lowermost transverse laser beam in which an obstacle is detected. The angle θ is the emission angle of the target laser light AB. The emission angle of each beam of infrared laser light emitted by the infrared laser sensor may be stored in the VR glasses in advance. By the distance detected by the target laser AB and the emission angle θ of the target laser AB, the distance of BD can be obtained, and BD distance=the product of the distance detected by the target laser AB and sin θ. Likewise, the distance of the CD may also be obtained. Further, the height BC of the obstacle can be determined. Similarly, the width of the obstacle may also be determined.
In this example, an infrared laser detection module in the VR glasses may detect the distance of the obstacle from the wearer and the size of the obstacle in order to inform the wearer of the obstacle. In this way, the VR can help the wearer detect the specific condition of surrounding obstacles and notify the wearer, improving the safety of the wearer.
Step S12, detecting the obstacle through a second detection mode and determining the approaching speed of the obstacle when the temperature of the obstacle is within a preset temperature interval.
In one example of the present embodiment, the preset temperature interval may be a body temperature interval of a human body or a body temperature interval of a common pet.
In one example of this embodiment, VR glasses are provided with an ultrasonic detection module. Detecting the obstacle through a second detection mode under the condition that the temperature of the obstacle is in a preset temperature interval, and determining the approaching speed of the obstacle comprises the following steps: and under the condition that the temperature of the obstacle is in a preset temperature interval, starting the approaching speed of the ultrasonic module detection module to the obstacle.
In this embodiment, the VR glasses are provided with an ultrasonic detection module that can detect the distance between the obstacle and the VR glasses wearer through ultrasonic echoes. Compared with an infrared laser detection module, the ultrasonic detection module has higher precision, stronger perceptibility, but higher power consumption. Therefore, only when the detected obstacle temperature is in the body temperature range of the human body or the common pet. The approaching speed of the obstacle is detected by the ultrasonic detection module.
In one example of the present embodiment, in a case where the temperature of the obstacle is within a preset temperature interval, starting the approaching speed of the obstacle by the ultrasonic mode detection module includes: the ultrasonic detection module detects real-time distance between the obstacle and the VR glasses at a preset time interval, and determines the approaching speed of the obstacle according to the preset time interval and the real-time distance between the obstacle and the VR glasses.
For example, the ultrasonic detection module detects the distance between the obstacle and the VR glasses at a time interval of 0.5 seconds, when the detection starts, the distance S1 between the obstacle and the VR glasses is 2 meters, after 0.5 seconds, the ultrasonic detection module performs the second detection, detects the distance S2 between the obstacle and the VR glasses is 1.6 meters, after 0.5 seconds, the ultrasonic detection module performs the third detection, detects the distance S3 between the obstacle and the VR glasses is 1 meter, and at this time, according to the formula:
V＝S/t
it is known that the average velocity V of the approach of the object is equal to:
V＝(((S1-S2)/0.5)+((S2-S3)/0.5))/2＝1m/s
when the tie speed V at which the object approaches is positive, it represents that the obstacle is approaching the wearer, and when the tie speed V at which the object approaches is negative, it represents that the obstacle is moving away toward the wearer.
It should be noted that, although the example describes that the time interval of the ultrasonic detection module is 0.5s, those skilled in the art can understand that the present disclosure is not limited thereto, and the specific time interval may be flexibly set according to the actual application scenario or personal preference.
In this example, the VR glasses may turn on the ultrasonic detection module to detect the moving speed of the obstacle when the obstacle is a person or a pet or the like and can move. In this way, the ultrasonic detection module can be started only when the obstacle is a movable obstacle such as a person or an animal, and the power consumption of the VR glasses is reduced. The moving speed of the movable obstacle can be accurately detected, and the safety of a wearer is improved.
Step S13, notifying the wearer of the VR glasses of the obstacle according to the first information of the obstacle and the approaching speed of the obstacle.
In one example of the present embodiment, notifying the wearer of VR glasses of the obstacle condition according to the first information of the obstacle and the approaching speed of the obstacle includes: and determining the type of the obstacle according to the first information of the obstacle, and informing the wearer of the first information of the obstacle, the type of the obstacle and the approaching speed of the obstacle.
In one example of the present embodiment, the type of the obstacle is determined according to the first information of the obstacle, and may be determined according to the size of the obstacle and the temperature of the obstacle. Specifically, VR glasses may have information corresponding to various types of obstacles, such as information of size and temperature, stored therein in advance. The type of obstacle is determined by comparing the data with the first information of the detected obstacle. For example, the size of the obstacle is 160cm-180cm high, 60 cm-80 cm wide, and the type of obstacle corresponds to a human at a temperature of 35-38 degrees.
It should be noted that, although examples describe various types of obstacle information stored in advance, those skilled in the art will understand that the present disclosure is not limited thereto, and specific types of obstacles, such as hangers, garderobe, etc., may be flexibly set according to actual application scenarios.
For example, VR is provided with an infrared laser detection module that wants to forward emit multiple infrared lasers to form an infrared laser network. If the distance detected by each infrared laser in the infrared laser network is substantially equal, and the detected temperature is not within the preset temperature interval. The type of obstacle may be determined as a wall according to pre-stored obstacle information. If the infrared laser detection module detects that the size of the obstacle is 170cm in height and 75cm in width and the temperature is 36 degrees, the obstacle can be determined to be a person according to pre-stored obstacle information.
After determining the type of obstacle, the wearer may be informed of the obstacle, for example, when the obstacle is a wall, the wearer may be informed of the front obstacle being a wall, at a distance of 2 meters. When the obstacle is a person, the wearer is informed that the person approaches in front of the obstacle, the distance is 2 meters, the approach speed is 1m/s, and the like.
In one example of this embodiment, the wearer may be notified by text on the interface of the VR glasses. The outline of the obstacle may also be displayed on the VR interface to inform the wearer according to the size of the obstacle. In addition, the voice with the obstacle condition can be played at the same time for notification.
In this example, the VR glasses can notify the wearer of specific types of obstacles, distances between the obstacles and the wearer, approaching speeds of the obstacles, and the like, so that the wearer of the VR glasses can avoid according to specific notification content, and safety performance and user experience are improved.
In one example of the present embodiment, notifying the wearer of VR glasses of the obstacle condition according to the first information of the obstacle and the approaching speed of the obstacle includes: and when the distance between the obstacle and the VR glasses is smaller than a preset threshold value, informing the wearer of the VR glasses of the obstacle.
For example, the preset threshold is set to 2 meters, and when the infrared laser module detects that the distance of the obstacle is less than two meters, the wearer of the VR glasses is notified of the obstacle. It should be noted that, although the example describes that the preset threshold may be 2 meters, those skilled in the art will understand that the disclosure is not limited thereto, and the specific size of the preset threshold may be flexibly set according to actual needs and personal preference.
In one example of the present embodiment, notifying the wearer of VR glasses of the obstacle condition according to the first information of the obstacle and the approaching speed of the obstacle includes: and determining a first moment according to the approaching speed of the obstacle and the distance between the obstacle and the VR glasses, wherein the first moment is the moment when the wearer contacts the obstacle. The second time is determined from the first time, and the second time is a time when the obstacle of the wearer of the VR glasses is notified.
For example, the approaching speed of the obstacle is 1m/s, the distance between the obstacle and the VR glasses is 3 m, and the contact time between the obstacle and the wearer is 3 seconds later, based on the approaching speed of the obstacle and the distance between the VR glasses. The time to notify the VR glasses wearer of the obstacle may be determined based on the time the obstacle is in contact with the wearer, and in this example, the time to notify the wearer may be two seconds before the time the obstacle is in contact with the wearer. After the time to notify the wearer is determined, the wearer may be notified of the obstacle at that time.
In this example, the VR glasses may alert the wearer of an obstacle when the distance is less than a preset range or before contacting the obstacle so that the wearer can have sufficient time and distance to react, avoid or stop moving. The safety and the use experience of the wearer are improved.
In one example of this embodiment, an acceleration detection module is provided in the VR glasses, and notifies the wearer of the VR glasses of the obstacle according to the first information of the obstacle and the approaching speed of the obstacle, including: detecting the moving speed of the wearer through an acceleration detection module; determining the moving speed of the obstacle according to the moving speed of the wearer and the approaching speed of the obstacle; the first information of the obstacle, the moving speed of the obstacle, and the moving speed of the wearer themselves are notified to the wearer.
In this example, an acceleration detection module, such as a gyroscope sensor, or other acceleration sensor, is also disposed in the VR glasses. The acceleration detection module may detect a movement speed of the wearer. The specific moving speed of the obstacle can be determined according to the moving speed of the wearer and the approaching speed of the obstacle measured by the ultrasonic detection module. Furthermore, when informing the wearer of the obstacle, the moving speed of the obstacle and the moving speed of the obstacle can be distinguished, so that the wearer can grasp the situation conveniently, and the safety of the wearer is improved.
The embodiment of the application provides VR glasses, which comprise a memory, a processor and a program for detecting an obstacle, wherein the program is stored in the memory and can run on the processor, the program for detecting the obstacle is configured to realize the steps of the method for detecting the obstacle according to any one of the previous claims, and the same technical effects can be achieved, so that repetition is avoided, and repeated description is omitted.
Referring to fig. 5, an embodiment of the present application provides VR glasses, where the VR glasses include a memory, a processor, a notification module, an infrared laser detection module, and an ultrasonic detection module. The notification module is used for notifying the wearer of the obstacle, and may be a speaker or VR display screen. The functions of the infrared laser detection module and the ultrasonic detection module are as described above. The VR glasses further include a program for controlling the intelligent device, which is stored in the memory and can run on the processor, where the program for controlling the intelligent device is configured to implement the steps of the method for controlling the intelligent device according to any one of the foregoing claims, and the same technical effects can be achieved, so that repetition is avoided, and no further description is given here.
The embodiment of the application provides a storage medium, on which a program or an instruction is stored, the program or the instruction, when executed by a processor, implement the steps of detecting an obstacle as described in any one of the previous claims, and achieve the same technical effects, so that repetition is avoided, and no further description is given here.
The various embodiments in this disclosure are described in a progressive manner, and identical and similar parts of the various embodiments are all referred to each other, and each embodiment is mainly described as different from other embodiments. In particular, for the control method, storage medium embodiments, since they are substantially similar to the device embodiments, the description is relatively simple, and reference is made to the description of the method embodiments in part.
The foregoing has described certain embodiments of the present disclosure. Other embodiments are within the scope of the following claims. In some cases, the actions or steps recited in the claims can be performed in a different order than in the embodiments and still achieve desirable results. In addition, the processes depicted in the accompanying figures do not necessarily require the particular order shown, or sequential order, to achieve desirable results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.
Embodiments of the present disclosure may be a system, method, and/or computer program product. The computer program product may include a computer readable storage medium having computer readable program instructions embodied thereon for causing a processor to implement aspects of embodiments of the present disclosure.
The computer readable storage medium may be a tangible device that can hold and store instructions for use by an instruction execution device. The computer readable storage medium may be, for example, but not limited to, an electronic storage device, a magnetic storage device, an optical storage device, an electromagnetic storage device, a semiconductor storage device, or any suitable combination of the foregoing. More specific examples (a non-exhaustive list) of the computer-readable storage medium would include the following: portable computer disks, hard disks, random Access Memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), static Random Access Memory (SRAM), portable compact disk read-only memory (CD-ROM), digital Versatile Disks (DVD), memory sticks, floppy disks, mechanical coding devices, punch cards or in-groove structures such as punch cards or grooves having instructions stored thereon, and any suitable combination of the foregoing. Computer-readable storage media, as used herein, are not to be construed as transitory signals per se, such as radio waves or other freely propagating electromagnetic waves, electromagnetic waves propagating through waveguides or other transmission media (e.g., optical pulses through fiber optic cables), or electrical signals transmitted through wires.
The computer readable program instructions described herein may be downloaded from a computer readable storage medium to a respective computing/processing device or to an external computer or external storage device over a network, such as the internet, a local area network, a wide area network, and/or a wireless network. The network may include copper transmission cables, fiber optic transmissions, wireless transmissions, routers, firewalls, switches, gateway computers and/or edge servers. The network interface card or network interface in each computing/processing device receives computer readable program instructions from the network and forwards the computer readable program instructions for storage in a computer readable storage medium in the respective computing/processing device.
Computer program instructions for performing the operations of embodiments of the present disclosure may be assembly instructions, instruction Set Architecture (ISA) instructions, machine-related instructions, microcode, firmware instructions, state setting data, or source or object code written in any combination of one or more programming languages, including an object oriented programming language such as Smalltalk, c++ or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The computer readable program instructions may be executed entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computer (for example, through the Internet using an Internet service provider). In some embodiments, aspects of embodiments of the present disclosure are implemented by personalizing electronic circuitry, such as programmable logic circuitry, field Programmable Gate Arrays (FPGAs), or Programmable Logic Arrays (PLAs), with state information of computer readable program instructions, which may execute the computer readable program instructions.
Various aspects of embodiments of the present disclosure are described herein with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the disclosure. It will be understood that each block of the flowchart illustrations and/or block diagrams, and combinations of blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer-readable program instructions.
These computer readable program instructions may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions/acts specified in the flowchart and/or block diagram block or blocks. These computer readable program instructions may also be stored in a computer readable storage medium that can direct a computer, programmable data processing apparatus, and/or other devices to function in a particular manner, such that the computer readable medium having the instructions stored therein includes an article of manufacture including instructions which implement the function/act specified in the flowchart and/or block diagram block or blocks.
The computer readable program instructions may also be loaded onto a computer, other programmable data processing apparatus, or other devices to cause a series of operational steps to be performed on the computer, other programmable apparatus or other devices to produce a computer implemented process such that the instructions which execute on the computer, other programmable apparatus or other devices implement the functions/acts specified in the flowchart and/or block diagram block or blocks.
The flowcharts and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of instructions, which comprises one or more executable instructions for implementing the specified logical function(s). In some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions. It is well known to those skilled in the art that implementation by hardware, implementation by software, and implementation by a combination of software and hardware are all equivalent.
The foregoing description of the embodiments of the present disclosure has been presented for purposes of illustration and description, and is not intended to be exhaustive or limited to the embodiments disclosed. Many modifications and variations will be apparent to those of ordinary skill in the art without departing from the scope of the various embodiments described. The terminology used herein was chosen in order to best explain the principles of the embodiments, the practical application, or the improvement of technology in the marketplace, or to enable others of ordinary skill in the art to understand the embodiments disclosed herein.
Claims (12)
1. An obstacle detection method applied to VR glasses, the method comprising:
detecting an obstacle in a first detection mode, and determining first information of the obstacle, wherein the first information of the obstacle at least comprises the temperature of the obstacle;
detecting the obstacle in a second detection mode under the condition that the temperature of the obstacle is in a preset temperature interval, and determining the approaching speed of the obstacle, wherein the preset temperature interval comprises a human body temperature interval or a pet body temperature interval;
notifying the wearer of the VR glasses of the condition of the obstacle according to the first information of the obstacle and the approaching speed of the obstacle.
2. The method of claim 1, wherein the VR glasses have an infrared laser detection module disposed therein;
detecting an obstacle in a first detection mode, and determining first information of the obstacle comprises the following steps:
and detecting an obstacle through the infrared laser detection module, and determining first information of the obstacle.
3. The method of claim 2, wherein detecting an obstacle by the infrared laser detection module, determining first information of the obstacle, comprises:
and controlling the infrared laser detection module to emit a plurality of infrared lasers in different directions in the front direction so as to form an infrared laser network in the front direction.
4. The method of claim 3, wherein the first information of the obstacle includes a distance of the obstacle from the VR glasses and a size of the obstacle, wherein detecting the obstacle by the infrared laser detection module, determining the first information of the obstacle, includes:
acquiring distance information detected by the infrared laser;
determining target infrared laser according to different distance information detected by the infrared laser, wherein the target infrared laser is the infrared laser for detecting the obstacle;
determining the distance between the obstacle and the VR glasses according to the distance information detected by the target infrared laser;
and determining the size of the obstacle according to the emitting direction of the target infrared laser and the distance information detected by the target infrared laser.
5. The method of claim 4, wherein the notifying the wearer of the VR glasses of the condition of the obstacle based on the first information of the obstacle and the approaching speed of the obstacle comprises:
and notifying the wearer of the VR glasses of the condition of the obstacle when the distance between the obstacle and the VR glasses is smaller than a preset threshold.
6. The method of any one of claims 1-5, wherein an ultrasonic detection module is disposed in the VR glasses;
detecting the obstacle through a second detection mode under the condition that the temperature of the obstacle is within a preset temperature interval, and determining the approaching speed of the obstacle comprises the following steps: and under the condition that the temperature of the obstacle is within a preset temperature interval, starting the ultrasonic detection module to detect the approaching speed of the obstacle.
7. The method of claim 6, wherein the activating the ultrasonic detection module to detect the approaching speed of the obstacle if the temperature of the obstacle is within a preset temperature interval comprises:
the ultrasonic detection module detects the real-time distance between the obstacle and the VR glasses at preset time intervals;
and determining the approaching speed of the obstacle according to the preset time interval and the real-time distance between the obstacle and the VR glasses.
8. The method of claim 7, wherein the notifying the wearer of the VR glasses of the condition of the obstacle based on the first information of the obstacle and the approaching speed of the obstacle comprises:
determining the type of the obstacle according to the first information of the obstacle;
the wearer is notified of first information of the obstacle, a type of the obstacle, and a speed of approach of the obstacle.
9. The method of claim 8, wherein the notifying the wearer of the VR glasses of the condition of the obstacle based on the first information of the obstacle and the approaching speed of the obstacle comprises:
determining a first moment according to the approaching speed of the obstacle and the distance between the obstacle and the VR glasses, wherein the first moment is the moment when the wearer contacts the obstacle;
determining a second moment according to the first moment, wherein the second moment is a moment for informing the wearer of the VR glasses of the obstacle;
at the second time, notifying the wearer of the VR glasses of the obstacle.
10. The method according to claim 1, wherein an acceleration detection module is provided in the VR glasses, and the notifying the wearer of the VR glasses of the obstacle according to the first information of the obstacle and the approaching speed of the obstacle includes:
detecting, by the acceleration detection module, a movement speed of the wearer;
determining the moving speed of the obstacle according to the moving speed of the wearer and the approaching speed of the obstacle;
the first information of the obstacle, the moving speed of the obstacle, and the moving speed of the wearer themselves are notified to the wearer.
11. VR glasses characterized in that it comprises a memory, a processor and a program for obstacle detection stored on said memory and executable on said processor, said program for obstacle detection being configured to implement the steps of the method for obstacle detection according to any one of claims 1 to 10.
12. A storage medium having stored thereon computer instructions which, when executed by a processor, implement the steps of the method of obstacle detection of any one of claims 1 to 10.
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