CN114838763A - 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 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; under the condition that the temperature of the obstacle is within a preset temperature interval, detecting the obstacle in a second detection mode, and determining the approaching speed of the obstacle; and informing the wearer of the VR glasses of the obstacle according to the first information of the obstacle and the approaching speed of the obstacle.
Description
Technical Field
The present disclosure relates to an intelligent electronic device, and more particularly, to a method for detecting an obstacle in 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 have become common articles for people in daily life and play an increasingly important role in people's life. However, the sealing performance of VR glasses is relatively high, and human eyes are isolated from the outside, so when wearing VR glasses to play games, the outside situation cannot be observed, and at this time, if there is an obstacle around the wearer of the VR device or the wearer moves to the vicinity of a wall, a danger may occur, so that it is necessary to provide VR glasses capable of detecting the obstacle.
Disclosure of Invention
The disclosed embodiments provide a method for obstacle detection, VR glasses and a storage medium, which can enable the VR glasses to detect obstacles 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 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; under the condition that the temperature of the obstacle is within a preset temperature interval, detecting the obstacle in a second detection mode, and determining the approaching speed of the obstacle; notifying a wearer of the VR glasses of the obstacle based on 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 an obstacle detection program stored on the memory and executable on the processor, the obstacle detection program configured to implement the steps of the method of obstacle detection as described in 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, carry out the steps of the method of obstacle detection of any one of the first aspect of the present disclosure.
One beneficial effect of the disclosed embodiments is that the VR glasses can detect the temperature of the surrounding obstacles to determine whether the obstacles are movable obstacles, and detect the approaching speed of the obstacles according to the requirements to inform the wearer of the obstacle situation. Through this kind of mode, VR glasses can help the condition that the person detected barrier around to only under the condition that the barrier is mobilizable barrier, detect the removal speed of barrier again, saved the energy consumption, promoted user experience.
Other features of embodiments of the present disclosure and advantages thereof will become apparent from the following detailed description of exemplary embodiments thereof, which is to be read in connection with the accompanying drawings.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of the specification, illustrate embodiments of the disclosure and together with the description, serve to explain the principles of the embodiments of the disclosure.
Fig. 1 shows 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 illustrates a block diagram of VR glasses of 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, the numerical expressions and numerical values set forth in these embodiments do not limit the scope of the present invention unless specifically stated otherwise.
The following description of at least one exemplary embodiment is merely illustrative in nature and is in no way intended to limit the invention, its application, or uses.
Techniques, methods, and apparatus known to those 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 particular value should be construed as merely illustrative, and not limiting. Thus, other examples of the exemplary embodiments may have different values.
It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, further discussion thereof is not required in subsequent figures.
The application provides a method for detecting obstacles, which is applied to VR glasses, and as shown in FIG. 1, the method includes steps S11-S13.
Step S11, detecting an obstacle through a first detection method, and determining first information of the obstacle, where the first information of the obstacle includes at least a temperature of the obstacle.
In an example of this embodiment, an infrared laser detection module is disposed in VR glasses, and detects an obstacle through a first detection method, and determines first information of the obstacle, where the first information includes: detecting an obstacle through an infrared laser detection module, and determining first information of the obstacle.
In one example of the present 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 can emit infrared laser for detecting the relative distance between the obstacle and the VR glasses and the temperature of the obstacle. As an example of the embodiment, the infrared laser detection module may be an infrared laser sensor, wherein the infrared laser sensor may emit infrared laser, and measure the distance between the obstacle and the VR glasses and the temperature of the obstacle by receiving the reflected infrared laser.
In an example of this embodiment, detecting an obstacle by an infrared laser detection module, and determining first information of the obstacle includes: and controlling the infrared laser detection module to emit a plurality of infrared lasers in different forward directions so as to form an infrared laser network in the forward direction.
For example, the infrared laser detection module may include an infrared laser sensor with 20 channels, and each channel of the infrared laser sensor may emit an elongated infrared laser forward. The infrared laser sensors of the 20 channels can emit a plurality of long-strip-shaped infrared lasers in different directions to form an infrared laser network. The infrared laser sensor with 20 channels emits 20 beams of long-strip infrared laser in different forward directions, including 10 beams of transverse infrared laser and 10 beams of longitudinal infrared laser, to form an infrared laser network as shown in fig. 2. The 20 beams of long-strip infrared lasers in different directions form an infrared laser network. The long-strip-shaped infrared laser of each channel can detect the distance between the obstacle and the VR glasses and the temperature of the obstacle.
It should be noted that, although the example describes the infrared laser detection module as 20-channel infrared laser sensor, and the specific composition manner of the infrared laser network, it should be understood by those skilled in the art that the present disclosure is not limited thereto, and can be flexibly configured according to the actual requirement.
In an example of this embodiment, the first information of the obstacle includes a distance between the obstacle and VR glasses and a size of the obstacle, and the first information of the obstacle is determined by detecting the obstacle with an infrared laser detection module, and includes: the method comprises the steps of obtaining distance information detected by infrared laser, determining target infrared laser according to the distance information detected by different infrared lasers, determining the distance between an obstacle and VR glasses according to the distance information detected by the target infrared laser, and determining the size of the obstacle according to the emission direction of the target infrared laser and the distance information detected by the target infrared laser.
In an example of this embodiment, as shown in fig. 3, the infrared laser detection module may include one infrared laser sensor with 20 channels, and may emit 20 long infrared lasers in different directions in front to form an infrared laser network. When an obstacle appears in front of the VR glasses, the long-strip-shaped infrared laser in the infrared laser network can detect the obstacle.
Specifically, for example, when one person appears in front of VR glasses, 6 infrared lasers in the transverse lasers in the infrared laser network are detected at a distance of about two meters, and the remaining transverse lasers are detected at a distance significantly exceeding 2 meters, it can be determined that the 6 infrared lasers are lasers for detecting obstacles, that is, target infrared lasers. Similarly, 4 of the longitudinal lasers in the infrared laser network detect the distance of about two meters, and the distance detected by the other longitudinal lasers obviously exceeds 2 meters, so that the 4 beams of infrared lasers can be determined to be the 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 detection obstacle. For example, as shown in fig. 4, point a is a point where the VR glasses infrared laser transmitter is located, AB and AC are target infrared lasers among the transverse lasers, AB is an uppermost transverse laser that detects an obstacle, and AC is a lowermost transverse laser that detects an obstacle. 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. The distance of the BD, which is the product of the distance detected by the target laser AB and sin θ, can be obtained by the distance detected by the target laser AB and the emission angle θ of the target laser AB. Likewise, the distance of the CD may also be acquired. Further, the height BC of the obstacle can be determined. Similarly, the width of the obstacle may also be determined.
In this example, the 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 details of surrounding obstacles and notify the wearer, improving the safety of using the wearer.
And 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 the preset temperature interval.
In an 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 the present embodiment, VR glasses are provided with an ultrasonic detection module. Under the condition that the temperature of the obstacle is within the preset temperature interval, the obstacle is detected through a second detection mode, and the approaching speed of the obstacle is determined, wherein the method comprises the following steps: and starting the approaching speed of the obstacle of the ultrasonic mode detection module under the condition that the temperature of the obstacle is within a preset temperature interval.
In this embodiment, the VR glasses are provided with an ultrasonic detection module, and the ultrasonic detection module can detect the distance between the obstacle and the VR glasses wearer through ultrasonic echo. Compared with an infrared laser detection module, the ultrasonic detection module is higher in precision, stronger in sensing capability and higher in power consumption. Therefore, only when the detected obstacle temperature is in the body temperature range of a human body or a common pet. The approaching speed of the obstacle is detected by the ultrasonic detection module.
In one example of this 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 the 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 second, when the detection is started, the distance S1 between the obstacle and the VR glasses is 2 meters, after 0.5 second, the ultrasonic detection module performs the second detection, the distance S2 between the obstacle and the VR glasses is 1.6 meters, after 0.5 second, the ultrasonic detection module performs the third detection, and the distance S3 between the obstacle and the VR glasses is 1 meter, in this case, according to the formula:
V＝S/t
it can be seen that the average speed 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 velocity V at which the object approaches is positive, it represents that the obstacle is approaching the wearer, and when the tie velocity 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 time interval of the ultrasonic detection module is described as 0.5s by way of example, those skilled in the art will appreciate that the disclosure is not limited thereto, and the specific time interval may be flexibly set according to actual application scenarios or personal preferences.
In this example, the VR glasses can start the ultrasonic detection module to detect the moving speed of the obstacle when the obstacle can move by itself, such as a person or a pet. Through the mode, the ultrasonic detection module can be started only when the barrier is a movable barrier such as a human being or an animal, and the power consumption of the VR glasses is reduced. The moving speed of the movable barrier can be detected more accurately, and the safety of the wearer is improved.
Step S13 is a step of notifying the wearer of the VR glasses of the obstacle based on the first information of the obstacle and the approaching speed of the obstacle.
In one example of the present embodiment, notifying a wearer of VR glasses of a situation of an obstacle based on first information of the obstacle and an approaching speed of the obstacle, includes: 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, the VR glasses may be pre-stored with information corresponding to each type of obstacle, such as size and temperature information. By comparing these data with the first information of the detected obstacle, the type of the obstacle is determined. For example, the size of the obstacle is 160cm-180cm in height, 60-80 cm in width, and the corresponding type of the obstacle is human when the temperature is 35-38 ℃.
It should be noted that, although the 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 the specific obstacle types, such as clothes hangers, clothes cabinets, etc., may be flexibly set according to the actual application scenarios.
For example, the VR is provided with an infrared laser detection module, and the infrared laser detection module is intended to emit a plurality of infrared laser beams forward to form an infrared laser network. If the detected distance of each infrared laser in the infrared laser network is basically equal, and the detected temperature is not in the preset temperature interval. It may be determined that the type of the obstacle is a wall according to the 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 ℃, the obstacle can be determined to be a person according to the pre-stored obstacle information.
After determining the type of the obstacle, the wearer may be informed of the obstacle, for example, when the obstacle is a wall, the wearer is informed that the obstacle in front is a wall, and the distance is 2 meters. When the obstacle is a person, the wearer is informed that the person approaches in front, the distance is 2 meters, the approaching 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 wearer may also be informed by displaying the outline of the obstacle on the VR interface, depending on the size of the obstacle. In addition, the voice with the obstacle condition can be played for notification at the same time.
In this example, the VR glasses can notify the wearer of the specific type of the obstacle, the distance between the obstacle and the wearer, the approaching speed of the obstacle, and the like, so that the wearer of the VR glasses can avoid according to the specific notification content, and the safety performance and the user experience are improved.
In one example of the present embodiment, notifying a wearer of VR glasses of a situation of an obstacle based on first information of the obstacle and an 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 a 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 an obstacle less than two meters away, the wearer of the VR glasses is notified of the obstacle. It should be noted that, although the preset threshold may be 2 meters as described in the example, 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 preferences.
In one example of the present embodiment, notifying a wearer of VR glasses of a situation of an obstacle based on first information of the obstacle and an approaching speed of the obstacle, includes: and determining a first moment and a moment when the wearer is in contact with the obstacle at the first moment according to the approaching speed of the obstacle and the distance between the obstacle and the VR glasses. A second time is determined from the first time, the second time being a time at which an obstacle of a wearer of the VR glasses is notified, and the obstacle of the wearer of the VR glasses is notified at the second time.
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 time when the obstacle comes into contact with the wearer is 3 seconds later, as is known from the approaching speed of the obstacle and the distance between the VR glasses. The timing of the notification of the obstacle to the VR glasses wearer can be determined from the timing of the obstacle contact with the wearer, which in this example can be two seconds before the timing of the obstacle contact with the wearer. After determining the time at which the wearer is notified, the wearer may be notified of the condition of the obstacle at that time.
In this example, the VR glasses may alert the wearer of the 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 an example of this embodiment, an acceleration detection module is provided in VR glasses, and notifies a wearer of the VR glasses of an obstacle according to first information of the obstacle and an 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; first information informing a wearer of an obstacle, a moving speed of the obstacle, and a moving speed of the wearer himself.
In this example, an acceleration detection module, such as a gyroscope sensor or other acceleration sensors, is also disposed in the VR glasses. The acceleration detection module may detect a moving speed of the wearer. According to the moving speed of the wearer and the approaching speed of the obstacle measured by the ultrasonic detection module, the specific moving speed of the obstacle can be determined. Furthermore, when the obstacle condition of the wearer is notified, the moving speed of the obstacle and the moving speed of the wearer can be distinguished, so that the wearer can conveniently master the condition, and the safety of the wearer is improved.
The embodiment of the application provides VR glasses, the VR glasses include memory, treater and store in on the memory and can be in the program that the barrier that the treater went up run detected, the program configuration that the barrier detected is to realize the preceding arbitrary the step of the method that detects the barrier, and can reach the same technological effect, for avoid repetition, do not describe here again.
Referring to fig. 5, an embodiment of the present application provides VR glasses, which 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 situation of the obstacles of the wearer, and the notification module can be a loudspeaker or a VR display screen. The functions of the infrared laser detection module and the ultrasonic detection module are as described in the foregoing. The VR glasses further include a program for controlling the smart device, which is stored in the memory and can be run on the processor, and the program for controlling the smart device is configured to implement the steps of the method for controlling the smart device described in any one of the preceding paragraphs, and can achieve the same technical effects, and in order to avoid repetition, details are not repeated here.
The embodiment of the present application provides a storage medium, on which a program or an instruction is stored, where the program or the instruction, when executed by a processor, implements the step of detecting the obstacle described in any of the foregoing steps, and can achieve the same technical effect, and in order to avoid repetition, the detailed description is omitted here.
The embodiments in the disclosure are described in a progressive manner, and the same and similar parts among the embodiments can be referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, as for the control method and the storage medium embodiment, since they are basically similar to the apparatus embodiment, the description is relatively simple, and the relevant points can be referred to the partial description of the method embodiment.
The foregoing description of specific embodiments of the present disclosure has been described. Other embodiments are within the scope of the following claims. In some cases, the actions or steps recited in the claims may 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 may also be possible or may be advantageous.
Embodiments of the present disclosure may be systems, methods, and/or computer program products. 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 disclosure.
The computer readable storage medium may be a tangible device that can hold and store the instructions for use by the instruction execution device. The computer readable storage medium may be, for example, but not limited to, an electronic memory device, a magnetic memory device, an optical memory device, an electromagnetic memory device, a semiconductor memory 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: a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), a Static Random Access Memory (SRAM), a portable compact disc read-only memory (CD-ROM), a Digital Versatile Disc (DVD), a memory stick, a floppy disk, a mechanical coding device, such as punch cards or in-groove projection structures having instructions stored thereon, and any suitable combination of the foregoing. Computer-readable storage media as used herein is not to be construed as transitory signals per se, such as radio waves or other freely propagating electromagnetic waves, electromagnetic waves propagating through a waveguide or other transmission medium (e.g., optical pulses through a fiber optic cable), or electrical signals transmitted through electrical 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 via 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 transmission, wireless transmission, routers, firewalls, switches, gateway computers and/or edge servers. The network adapter 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.
The computer program instructions for carrying out operations for 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 code 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 execute 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 type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider). In some embodiments, the electronic circuitry may execute computer-readable program instructions to implement aspects of embodiments of the present disclosure by utilizing state information of the computer-readable program instructions to personalize the electronic circuitry, such as a programmable logic circuit, a Field Programmable Gate Array (FPGA), or a Programmable Logic Array (PLA).
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 storing the instructions comprises 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 flowchart 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, by software, and by a combination of software and hardware are equivalent.
Having described embodiments of the present disclosure, the foregoing description is intended to be exemplary, not exhaustive, and not limited to the disclosed embodiments. Many modifications and variations will be apparent to those of ordinary skill in the art without departing from the scope of the described embodiments. The terminology used herein is chosen in order to best explain the principles of the embodiments, the practical application, or improvements made to the 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 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;
under the condition that the temperature of the obstacle is within a preset temperature interval, detecting the obstacle in a second detection mode, and determining the approaching speed of the obstacle;
and informing the wearer of the VR glasses 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 an infrared laser detection module is disposed in the VR glasses;
the detecting an obstacle through a first detection mode and determining first information of the obstacle comprise:
and detecting an obstacle through the infrared laser detection module, and determining first information of the obstacle.
3. The method of claim 2, wherein the 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 beams of infrared laser in different forward directions so as to form an infrared laser network in the forward direction.
4. The method of claim 3, wherein the first information of the obstacle comprises a distance between the obstacle and the VR glasses and a size of the obstacle, and wherein the detecting the obstacle by the infrared laser detection module and determining the first information of the obstacle comprises:
acquiring distance information detected by the infrared laser;
determining target infrared laser according to distance information detected by different infrared lasers, wherein the target infrared laser is the infrared laser for detecting an 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 emission direction of the target infrared laser and the distance information detected by the target infrared laser.
5. The method according to claim 4, wherein the notifying the wearer of the VR glasses of the obstacle based on the first information of the obstacle and the approaching speed of the obstacle comprises:
when the distance between the obstacle and the VR glasses is smaller than a preset threshold value, a wearer of the VR glasses is informed of the obstacle.
6. The method of any of claims 1-5, wherein the VR glasses have an ultrasonic detection module disposed therein;
under the condition that the temperature of the obstacle is within a preset temperature interval, detecting the obstacle through a second detection mode, and determining the approaching speed of the obstacle, wherein the method comprises the following steps: and starting the approaching speed of the obstacle by the ultrasonic mode detection module under the condition that the temperature of the obstacle is within a preset temperature interval.
7. The method according to claim 6, wherein said starting the approaching speed of the obstacle by the ultrasonic mode detection module in case the temperature of the obstacle is within a preset temperature interval comprises:
the ultrasonic detection module detects the real-time distance between an 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 notifying the wearer of the VR glasses 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;
first information informing the wearer of the obstacle, a type of the obstacle, and a closing speed of the obstacle.
9. The method of claim 8, wherein notifying a wearer of the VR glasses of the obstacle based on the first information of the obstacle and the approaching speed of the obstacle comprises:
determining a first time according to the approaching speed of the obstacle and the distance between the obstacle and the VR glasses, wherein the first time is the time when the wearer is in contact with the obstacle;
determining a second moment according to the first moment, wherein the second moment is a moment for informing a wearer of the VR glasses of the obstacle;
at the second time, notifying a wearer of the VR glasses of the obstacle.
10. The method of claim 1, wherein the VR glasses have an acceleration detection module disposed therein, and wherein notifying the wearer of the VR glasses of the obstacle based on the first information of the obstacle and the approaching speed of the obstacle comprises:
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;
first information informing the wearer of the obstacle, a moving speed of the obstacle, and a moving speed of the wearer himself.
11. VR glasses comprising a memory, a processor and a program of obstacle detection stored on the memory and executable on the processor, the program of obstacle detection being configured to implement the steps of the method of obstacle detection as claimed in any one of claims 1 to 10.
12. A storage medium having stored thereon computer instructions which, when executed by a processor, carry out the steps of the method of obstacle detection according to any one of claims 1 to 10.
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Citations (14)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104964672A (en) * | 2015-06-29 | 2015-10-07 | 济南大学 | Long-distance obstacle perception sensor based on line structured light |
| CN105662798A (en) * | 2016-03-22 | 2016-06-15 | 昆山市工研院智能制造技术有限公司 | Blind person navigation device based on laser and image processing and walking and obstacle avoidance method based on laser and image processing |
| CN105807920A (en) * | 2016-03-03 | 2016-07-27 | 北京小鸟看看科技有限公司 | Virtual reality equipment as well as method and device for monitoring ground obstacles under using scene of virtual reality equipment |
| CN107024991A (en) * | 2017-04-13 | 2017-08-08 | 长沙职业技术学院 | A kind of glasses system based on Internet of Things |
| CN107390224A (en) * | 2017-07-21 | 2017-11-24 | 歌尔科技有限公司 | Obstacle detection method, device and virtual reality display device |
| CN109478070A (en) * | 2016-08-04 | 2019-03-15 | 深圳市大疆创新科技有限公司 | Obstacle recognition and preventing collision method and system |
| CN110320994A (en) * | 2018-03-31 | 2019-10-11 | 汉唐传媒股份有限公司 | A kind of method for early warning of the augmented reality glasses based on sports ground |
| US20200089333A1 (en) * | 2016-12-09 | 2020-03-19 | Sony Interactive Entertainment Inc. | Virtual reality |
| US20200202578A1 (en) * | 2018-12-19 | 2020-06-25 | Siemens Healthcare Gmbh | Method and device to control a virtual reality display unit |
| CN111384776A (en) * | 2018-12-27 | 2020-07-07 | 河南平高电气股份有限公司 | VR-based transformer substation three-dimensional panoramic state monitoring method and system |
| CN111762136A (en) * | 2015-05-12 | 2020-10-13 | 深圳市大疆创新科技有限公司 | Apparatus and method for identifying or detecting obstacles |
| KR102187438B1 (en) * | 2019-10-28 | 2020-12-08 | 동명대학교산학협력단 | Cold chain Operating System Based on Virtual Reality and Augmented Reality |
| CN112269472A (en) * | 2020-11-27 | 2021-01-26 | 上海影创信息科技有限公司 | Method and system for constructing virtual boundary object and VR glasses thereof |
| US20220094883A1 (en) * | 2019-01-15 | 2022-03-24 | Longan Vision Corp. | Augmented reality display device, and apparatus comprising same |
-
2022
- 2022-04-20 CN CN202210419714.0A patent/CN114838763B/en active Active
Patent Citations (14)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111762136A (en) * | 2015-05-12 | 2020-10-13 | 深圳市大疆创新科技有限公司 | Apparatus and method for identifying or detecting obstacles |
| CN104964672A (en) * | 2015-06-29 | 2015-10-07 | 济南大学 | Long-distance obstacle perception sensor based on line structured light |
| CN105807920A (en) * | 2016-03-03 | 2016-07-27 | 北京小鸟看看科技有限公司 | Virtual reality equipment as well as method and device for monitoring ground obstacles under using scene of virtual reality equipment |
| CN105662798A (en) * | 2016-03-22 | 2016-06-15 | 昆山市工研院智能制造技术有限公司 | Blind person navigation device based on laser and image processing and walking and obstacle avoidance method based on laser and image processing |
| CN109478070A (en) * | 2016-08-04 | 2019-03-15 | 深圳市大疆创新科技有限公司 | Obstacle recognition and preventing collision method and system |
| US20200089333A1 (en) * | 2016-12-09 | 2020-03-19 | Sony Interactive Entertainment Inc. | Virtual reality |
| CN107024991A (en) * | 2017-04-13 | 2017-08-08 | 长沙职业技术学院 | A kind of glasses system based on Internet of Things |
| CN107390224A (en) * | 2017-07-21 | 2017-11-24 | 歌尔科技有限公司 | Obstacle detection method, device and virtual reality display device |
| CN110320994A (en) * | 2018-03-31 | 2019-10-11 | 汉唐传媒股份有限公司 | A kind of method for early warning of the augmented reality glasses based on sports ground |
| US20200202578A1 (en) * | 2018-12-19 | 2020-06-25 | Siemens Healthcare Gmbh | Method and device to control a virtual reality display unit |
| CN111384776A (en) * | 2018-12-27 | 2020-07-07 | 河南平高电气股份有限公司 | VR-based transformer substation three-dimensional panoramic state monitoring method and system |
| US20220094883A1 (en) * | 2019-01-15 | 2022-03-24 | Longan Vision Corp. | Augmented reality display device, and apparatus comprising same |
| KR102187438B1 (en) * | 2019-10-28 | 2020-12-08 | 동명대학교산학협력단 | Cold chain Operating System Based on Virtual Reality and Augmented Reality |
| CN112269472A (en) * | 2020-11-27 | 2021-01-26 | 上海影创信息科技有限公司 | Method and system for constructing virtual boundary object and VR glasses thereof |
Non-Patent Citations (1)
| Title |
|---|
| 董士海: "人机交互的进展及面临的挑战", 计算机辅助设计与图形学学报, no. 01, pages 1 - 10 * |
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