CN111768673A - Driving training video generation method and system based on virtual reality - Google Patents

Driving training video generation method and system based on virtual reality Download PDF

Info

Publication number
CN111768673A
CN111768673A CN202010640870.0A CN202010640870A CN111768673A CN 111768673 A CN111768673 A CN 111768673A CN 202010640870 A CN202010640870 A CN 202010640870A CN 111768673 A CN111768673 A CN 111768673A
Authority
CN
China
Prior art keywords
virtual reality
video generation
training
vehicle model
vehicle
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN202010640870.0A
Other languages
Chinese (zh)
Inventor
徐玉强
阮嘉裕
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Zhuhai Chaofan Shijie Technology Co ltd
Original Assignee
Zhuhai Chaofan Shijie Technology Co ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Zhuhai Chaofan Shijie Technology Co ltd filed Critical Zhuhai Chaofan Shijie Technology Co ltd
Priority to CN202010640870.0A priority Critical patent/CN111768673A/en
Publication of CN111768673A publication Critical patent/CN111768673A/en
Pending legal-status Critical Current

Links

Images

Classifications

    • GPHYSICS
    • G09EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
    • G09BEDUCATIONAL OR DEMONSTRATION APPLIANCES; APPLIANCES FOR TEACHING, OR COMMUNICATING WITH, THE BLIND, DEAF OR MUTE; MODELS; PLANETARIA; GLOBES; MAPS; DIAGRAMS
    • G09B9/00Simulators for teaching or training purposes
    • G09B9/02Simulators for teaching or training purposes for teaching control of vehicles or other craft
    • G09B9/04Simulators for teaching or training purposes for teaching control of vehicles or other craft for teaching control of land vehicles
    • GPHYSICS
    • G09EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
    • G09BEDUCATIONAL OR DEMONSTRATION APPLIANCES; APPLIANCES FOR TEACHING, OR COMMUNICATING WITH, THE BLIND, DEAF OR MUTE; MODELS; PLANETARIA; GLOBES; MAPS; DIAGRAMS
    • G09B19/00Teaching not covered by other main groups of this subclass
    • G09B19/16Control of vehicles or other craft
    • G09B19/167Control of land vehicles
    • GPHYSICS
    • G09EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
    • G09BEDUCATIONAL OR DEMONSTRATION APPLIANCES; APPLIANCES FOR TEACHING, OR COMMUNICATING WITH, THE BLIND, DEAF OR MUTE; MODELS; PLANETARIA; GLOBES; MAPS; DIAGRAMS
    • G09B9/00Simulators for teaching or training purposes
    • G09B9/02Simulators for teaching or training purposes for teaching control of vehicles or other craft
    • G09B9/04Simulators for teaching or training purposes for teaching control of vehicles or other craft for teaching control of land vehicles
    • G09B9/05Simulators for teaching or training purposes for teaching control of vehicles or other craft for teaching control of land vehicles the view from a vehicle being simulated

Landscapes

  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Business, Economics & Management (AREA)
  • Physics & Mathematics (AREA)
  • Educational Administration (AREA)
  • Educational Technology (AREA)
  • General Physics & Mathematics (AREA)
  • Aviation & Aerospace Engineering (AREA)
  • Entrepreneurship & Innovation (AREA)
  • Processing Or Creating Images (AREA)

Abstract

The invention discloses a driving training video generation method and system based on virtual reality, wherein the method comprises the following steps: the method comprises the following steps of data acquisition, wherein training vehicle information is acquired, and corresponding road environment information is acquired according to the driving training project classification; a scene generation step, namely generating a corresponding road scene in virtual reality according to the road environment information, and generating a corresponding vehicle model in the road scene according to the training vehicle information; and a video generation step, namely generating a motion track of the vehicle model according to the project classification, and inserting corresponding audio data when the vehicle model runs to a key point to generate a driving training video. According to the invention, the simulated driving training video is generated by using the virtual reality technology through the training vehicle and the road environment collection of the project classification, so that the occupation of a teaching field is not required, a student can fully understand the project clearance principle, manpower and material resources are saved, and the teaching efficiency is improved.

Description

Driving training video generation method and system based on virtual reality
Technical Field
The invention relates to the field of virtual reality driving training, in particular to a driving training video generation method and system based on virtual reality.
Background
Most of the traditional driving teaching methods are that a coach performs method teaching on a real vehicle, then a student performs real vehicle training, and the coach supervises and guides. The teaching effect is poor, and the students cannot quickly understand the passing method. The coach needs to consume a large amount of time and energy, is low in teaching efficiency and high in teaching cost, needs to train on a real vehicle, occupies a coach field for a long time, and affects the operation efficiency of a driving school.
Disclosure of Invention
The present invention is directed to solving at least one of the problems of the prior art. Therefore, the driving training video generation method based on the virtual reality can save manpower and material resources and improve teaching efficiency.
The invention also provides a driving training video generation system based on the virtual reality, which is provided with the driving training video generation method based on the virtual reality.
According to the embodiment of the first aspect of the invention, the method for generating the driving training video based on the virtual reality comprises the following steps: the method comprises the following steps of data acquisition, wherein training vehicle information is acquired, and corresponding road environment information is acquired according to the driving training project classification; a scene generation step, namely generating a corresponding road scene in virtual reality according to the road environment information, and generating a corresponding vehicle model in the road scene according to the training vehicle information; and a video generation step, namely generating a motion track of the vehicle model according to the item classification, and inserting audio data when the vehicle model runs to a key point to generate a driving training video.
The driving training video generation method based on the virtual reality provided by the embodiment of the invention at least has the following beneficial effects: through vehicle for training and project classification's road environment collection, use the drive training video of virtual reality technique generation simulation, need not to occupy the teaching place, can make the student fully understand the exercise project clearance principle, use manpower and materials sparingly, improve teaching efficiency.
According to some embodiments of the invention, the video generating step comprises: planning a motion trajectory of the vehicle model in the road scene according to the project classification; obtaining the corresponding operation steps of the vehicle model at the key points according to the motion trail; and acquiring audio data corresponding to the operation steps, playing the audio data at the key point, and generating the driving training video.
According to some embodiments of the invention, the video generating step further comprises: planning a moving target position of the vehicle model in the road scene according to the project classification; and analyzing the position of the vehicle model and the position of the moving target, determining the key point, and obtaining the key point.
According to some embodiments of the invention, the video generating step further comprises: playing audio of the content introduction of the item classification before the vehicle model starts moving.
According to some embodiments of the invention, the video generating step further comprises: and playing audio to be called by the operation of the item classification after the vehicle model stops moving.
According to some embodiments of the invention, the item classification comprises: the method comprises the following steps of vehicle reversing sense, vehicle reversing and warehousing, left vehicle reversing and right vehicle reversing, right-angle turning, curve driving, side parking and slope fixed-point parking starting.
According to some embodiments of the invention, the video records the motion trajectory of the vehicle model at a fixed perspective.
According to some embodiments of the invention, the fixed viewing angle is a top viewing angle.
According to a second aspect of the invention, a virtual reality-based driving training video generation system comprises: the acquisition device is used for acquiring training vehicle information and acquiring corresponding road environment information according to the driving training project classification; the scene generation module is used for generating a corresponding road scene in virtual reality according to the road environment information and generating a corresponding vehicle model in the road scene according to the training vehicle information; and a video generation step, namely generating a motion track of the vehicle model according to the project classification, and inserting corresponding audio data when the vehicle model runs to a key point to generate a driving training video.
The driving training video generation system based on the virtual reality provided by the embodiment of the invention at least has the following beneficial effects: through vehicle for training and project classification's road environment collection, use the drive training video of virtual reality technique generation simulation, need not to occupy the teaching place, can make the student fully understand the exercise project clearance principle, use manpower and materials sparingly, improve teaching efficiency.
Additional aspects and advantages of the invention will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the invention.
Drawings
The above and/or additional aspects and advantages of the present invention will become apparent and readily appreciated from the following description of the embodiments, taken in conjunction with the accompanying drawings of which:
FIG. 1 is a schematic illustration of the steps of a method according to an embodiment of the present invention;
FIG. 2 is a data processing procedure in a method according to an embodiment of the present invention;
FIG. 3 is a block diagram illustrating the architecture of a system according to an embodiment of the present invention;
fig. 4 is a schematic diagram of watching a teaching video through VR in an embodiment of the present invention.
Reference numerals:
a data acquisition step S100, a scene generation step S200 and a video generation step S300;
the system comprises a collection device 100, a scene generation module 200 and a video generation module 300.
Detailed Description
Reference will now be made in detail to embodiments of the present invention, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to the same or similar elements or elements having the same or similar function throughout. The embodiments described below with reference to the accompanying drawings are illustrative only for the purpose of explaining the present invention, and are not to be construed as limiting the present invention.
The noun explains:
VR: the virtual reality technology is a computer simulation system which can create and experience a virtual world, generates a simulation environment by using a computer, and is a system simulation of multi-source information fusion, interactive three-dimensional dynamic vision and entity behaviors so that a user can be immersed in the environment.
Referring to fig. 1, a method of an embodiment of the present invention includes: a data acquisition step S100, a scene generation step S200 and a video generation step S300. In the data collecting step S100, relevant information of the training vehicle, including but not limited to, a vehicle model, a vehicle shape and size, etc., is collected, and corresponding road information, including but not limited to, a length, a gradient, an arc angle, a width, a drivable area, etc., is obtained for the item classification of the driving training. The acquisition method can be used for shooting through a camera, measuring distance through a sensor and the like. In the scene generating step S200, a corresponding virtual scene is generated according to the data collected in the data collecting step S100, including: and generating a corresponding road scene in the virtual reality according to the road environment information, and generating a corresponding vehicle model in the road scene according to the training vehicle information. And a video generation step S300, generating a motion track of the vehicle model according to the item classification, inserting audio data when the vehicle model runs to a key point, and generating a driving training video. According to the virtual reality simulation training method, the road condition and the examination content on the spot are simulated and trained through virtual reality, the learning reality degree can be increased, a better training effect is obtained, the video can be used for multiple times after being generated, and the training efficiency is improved.
In the method of the embodiment of the invention, referring to fig. 2, firstly, training vehicle information and road information of project classification training content are acquired through various acquisition devices, and after the data information is processed, a corresponding virtual reality scene is generated; and then planning a motion track of the vehicle model in the virtual reality scene according to the training content of the project classification, wherein the partial project classification can also comprise a motion target position area of the vehicle model. And acquiring a motion key point of the vehicle model according to the motion track, obtaining an operation step of the vehicle model at the key point, acquiring corresponding audio data according to the operation step, inserting and playing at the key point, and finally generating a corresponding teaching video. In the embodiment of setting the moving target position area, the method further includes obtaining key points according to the distance, the intersection condition and the like between the position of the vehicle model in the moving track and the boundary of the moving target position area, obtaining audio data corresponding to the operation steps according to the key point positions and item classification, and generating the teaching video. And audio data are played at key points, explanation teaching is provided, and training efficiency is improved.
In some embodiments of the invention, audio data is played that introduces basic information about the present project classification, including, but not limited to, the content of the project training, goals, core difficulties, etc., before the vehicle model begins to move; and playing audio data to be claimed in the operation of the item classification after the vehicle model stops moving. Before the operation starts and after the operation ends, corresponding audio data are played, which is equivalent to pre-learning and consolidated review, and the training efficiency is improved. In an embodiment of the invention, the item classification comprises: the parking garage comprises a vehicle reversing sense, a vehicle reversing garage, a left vehicle reversing garage, a right vehicle reversing garage, a quarter turn, curve driving, side parking, hill fixed-point parking starting and the like. According to the assessment key content: the training is carried out according to the examination content and the better virtual training effect is obtained.
In some embodiments of the invention, the instructional video records the motion process of the vehicle model at a fixed perspective; it should be understood that in other embodiments of the present invention, the instructional video records the motion of the vehicle model with a variable viewing angle as desired. The teaching video is recorded with fixed top viewing angle, and is comparatively audio-visual when watching, makes things convenient for the teaching, does benefit to the student and understands. The teaching video plays at virtual reality, and figure 4 is that the student watches the video effect picture of teaching through VR glasses, and the teaching video is located the upper portion central authorities of view, is the teaching video that plays quarter turn with the top view angle in the picture.
Referring to fig. 3, the system of the embodiment of the present invention includes: an acquisition apparatus 100, a scene generation module 200, and a video generation module 300. The acquisition device 100 is used for acquiring training vehicle information and acquiring corresponding road environment information according to the driving training project classification; the scene generation module 200 is configured to generate a corresponding road scene in virtual reality according to the road environment information, and generate a corresponding vehicle model in the road scene according to the training vehicle information; and a video generation step, namely generating a motion track of the vehicle model by the project classification, and inserting corresponding audio data when the vehicle model runs to a key point to generate a driving training video. In the embodiment of the invention, after the video is generated, the trainee can watch the video through a virtual reality watching device (for example, VR glasses), and the watching effect refers to FIG. 4.
Although specific embodiments have been described herein, those of ordinary skill in the art will recognize that many other modifications or alternative embodiments are equally within the scope of this disclosure. For example, any of the functions and/or processing capabilities described in connection with a particular device or component may be performed by any other device or component. In addition, while various illustrative implementations and architectures have been described in accordance with embodiments of the present disclosure, those of ordinary skill in the art will recognize that many other modifications of the illustrative implementations and architectures described herein are also within the scope of the present disclosure.
Certain aspects of the present disclosure are described above with reference to block diagrams and flowchart illustrations of systems, methods, apparatus and/or computer program products according to example embodiments. It will be understood that one or more blocks of the block diagrams and flowchart illustrations, and combinations of blocks in the block diagrams and flowchart illustrations, respectively, can be implemented by executing computer-executable program instructions. Also, according to some embodiments, some blocks of the block diagrams and flow diagrams may not necessarily be performed in the order shown, or may not necessarily be performed in their entirety. In addition, additional components and/or operations beyond those shown in the block diagrams and flow diagrams may be present in certain embodiments.
Accordingly, blocks of the block diagrams and flowchart illustrations support combinations of means for performing the specified functions, combinations of elements or steps for performing the specified functions and program instruction means for performing the specified functions. It will also be understood that each block of the block diagrams and flowchart illustrations, and combinations of blocks in the block diagrams and flowchart illustrations, can be implemented by special purpose hardware-based computer systems that perform the specified functions, elements or steps, or combinations of special purpose hardware and computer instructions.
Program modules, applications, etc. described herein may include one or more software components, including, for example, software objects, methods, data structures, etc. Each such software component may include computer-executable instructions that, in response to execution, cause at least a portion of the functionality described herein (e.g., one or more operations of the illustrative methods described herein) to be performed.
The software components may be encoded in any of a variety of programming languages. An illustrative programming language may be a low-level programming language, such as assembly language associated with a particular hardware architecture and/or operating system platform. Software components that include assembly language instructions may need to be converted by an assembler program into executable machine code prior to execution by a hardware architecture and/or platform. Another exemplary programming language may be a higher level programming language, which may be portable across a variety of architectures. Software components that include higher level programming languages may need to be converted to an intermediate representation by an interpreter or compiler before execution. Other examples of programming languages include, but are not limited to, a macro language, a shell or command language, a job control language, a scripting language, a database query or search language, or a report writing language. In one or more exemplary embodiments, a software component containing instructions of one of the above programming language examples may be executed directly by an operating system or other software component without first being converted to another form.
The software components may be stored as files or other data storage constructs. Software components of similar types or related functionality may be stored together, such as in a particular directory, folder, or library. Software components may be static (e.g., preset or fixed) or dynamic (e.g., created or modified at execution time).
The embodiments of the present invention have been described in detail with reference to the accompanying drawings, but the present invention is not limited to the above embodiments, and various changes can be made within the knowledge of those skilled in the art without departing from the gist of the present invention.

Claims (9)

1. A driving training video generation method based on virtual reality is characterized by comprising the following steps:
the method comprises the following steps of data acquisition, wherein training vehicle information is acquired, and corresponding road environment information is acquired according to the driving training project classification;
a scene generation step, namely generating a corresponding road scene in virtual reality according to the road environment information, and generating a corresponding vehicle model in the road scene according to the training vehicle information;
and a video generation step, namely generating a motion track of the vehicle model according to the project classification, and inserting corresponding audio data when the vehicle model runs to a key point to generate a driving training video.
2. The virtual reality-based drive training video generation method according to claim 1, wherein the video generation step includes:
planning a motion trajectory of the vehicle model in the road scene according to the project classification;
obtaining the corresponding operation steps of the vehicle model at the key points according to the motion trail;
and acquiring audio data corresponding to the operation steps, playing the audio data at the key point, and generating the driving training video.
3. The virtual reality-based drive training video generation method according to claim 2, wherein the video generation step further includes:
planning a moving target position of the vehicle model in the road scene according to the project classification;
and analyzing the position of the vehicle model and the position of the moving target, determining the key point, and obtaining the key point.
4. The virtual reality-based drive training video generation method according to claim 2, wherein the video generation step further includes:
playing audio of the content introduction of the item classification before the vehicle model starts moving.
5. The virtual reality-based drive training video generation method according to claim 2, wherein the video generation step further includes:
and playing audio to be called by the operation of the item classification after the vehicle model stops moving.
6. The virtual reality-based drive training video generation method of claim 1, wherein the item classification comprises: the method comprises the following steps of vehicle reversing sense, vehicle reversing and warehousing, left vehicle reversing and right vehicle reversing, right-angle turning, curve driving, side parking and slope fixed-point parking starting.
7. The virtual reality-based driving training video generation method according to claim 1, wherein the video records a movement trajectory of the vehicle model at a fixed view angle.
8. The virtual reality-based driving training video generation method according to claim 7, wherein the fixed viewing angle is a top viewing angle.
9. A virtual reality based driver training video generation system using the method of any of claims 1 to 8, comprising:
the acquisition device is used for acquiring training vehicle information and acquiring corresponding road environment information according to the driving training project classification;
the scene generation module is used for generating a corresponding road scene in virtual reality according to the road environment information and generating a corresponding vehicle model in the road scene according to the training vehicle information;
and a video generation step, namely generating a motion track of the vehicle model according to the project classification, and inserting corresponding audio data when the vehicle model runs to a key point to generate a driving training video.
CN202010640870.0A 2020-07-06 2020-07-06 Driving training video generation method and system based on virtual reality Pending CN111768673A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202010640870.0A CN111768673A (en) 2020-07-06 2020-07-06 Driving training video generation method and system based on virtual reality

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202010640870.0A CN111768673A (en) 2020-07-06 2020-07-06 Driving training video generation method and system based on virtual reality

Publications (1)

Publication Number Publication Date
CN111768673A true CN111768673A (en) 2020-10-13

Family

ID=72724696

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202010640870.0A Pending CN111768673A (en) 2020-07-06 2020-07-06 Driving training video generation method and system based on virtual reality

Country Status (1)

Country Link
CN (1) CN111768673A (en)

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113095975A (en) * 2021-04-27 2021-07-09 视伴科技(北京)有限公司 Method and device for training volunteers
CN113442943A (en) * 2021-03-23 2021-09-28 中科创达软件股份有限公司 Method, device and system for realizing virtual driving of vehicle, vehicle and storage medium
CN116153166A (en) * 2023-04-21 2023-05-23 西北铁道电子股份有限公司 Vehicle-mounted simulation method, system and equipment for rail car driver before taking out

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN203366572U (en) * 2013-07-16 2013-12-25 李庆福 Vehicle driving simulator
CN105702118A (en) * 2016-04-29 2016-06-22 北京小米移动软件有限公司 Driving practice correction method and device
WO2018057980A1 (en) * 2016-09-23 2018-03-29 Apple Inc. Immersive virtual display
CN109920298A (en) * 2019-03-28 2019-06-21 珠海超凡视界科技有限公司 A kind of device and method carrying out subject training based on virtual reality
CN110728877A (en) * 2019-11-06 2020-01-24 北京千种幻影科技有限公司 VR simulation driving training device
CN111028608A (en) * 2019-12-05 2020-04-17 珠海超凡视界科技有限公司 Subject two independent training system and method based on virtual reality

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN203366572U (en) * 2013-07-16 2013-12-25 李庆福 Vehicle driving simulator
CN105702118A (en) * 2016-04-29 2016-06-22 北京小米移动软件有限公司 Driving practice correction method and device
WO2018057980A1 (en) * 2016-09-23 2018-03-29 Apple Inc. Immersive virtual display
CN109920298A (en) * 2019-03-28 2019-06-21 珠海超凡视界科技有限公司 A kind of device and method carrying out subject training based on virtual reality
CN110728877A (en) * 2019-11-06 2020-01-24 北京千种幻影科技有限公司 VR simulation driving training device
CN111028608A (en) * 2019-12-05 2020-04-17 珠海超凡视界科技有限公司 Subject two independent training system and method based on virtual reality

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113442943A (en) * 2021-03-23 2021-09-28 中科创达软件股份有限公司 Method, device and system for realizing virtual driving of vehicle, vehicle and storage medium
CN113442943B (en) * 2021-03-23 2024-03-19 中科创达软件股份有限公司 Method, device, system, vehicle and storage medium for realizing virtual driving of vehicle
CN113095975A (en) * 2021-04-27 2021-07-09 视伴科技(北京)有限公司 Method and device for training volunteers
CN116153166A (en) * 2023-04-21 2023-05-23 西北铁道电子股份有限公司 Vehicle-mounted simulation method, system and equipment for rail car driver before taking out

Similar Documents

Publication Publication Date Title
CN111768673A (en) Driving training video generation method and system based on virtual reality
Zollman et al. Teaching and learning physics with interactive video
CN110992763A (en) Teaching method for performing subject two based on virtual reality
Hajdin et al. Digitization and visualization of movements of slovak folk dances
CA2628908A1 (en) Simulation and multimedia integration and navigation interface and method
Hachimura et al. Method of generating coded description of human body motion from motion-captured data
CN109272822A (en) A kind of motor vehicle driving training system
CN112331001A (en) Teaching system based on virtual reality technology
CN115186473A (en) Scene perception modeling and verifying method based on parallel intelligence
Eken et al. A reproducible educational plan to teach mini autonomous race car programming
Carruth Simulation for training and testing intelligent systems
CN111488058A (en) Training method and device based on AR and VR
Iskander et al. Development of multimedia modules for education
O'Sullivan et al. Interactive video technology in teacher education
Ji et al. Perspective, survey and trends: Public driving datasets and toolsets for autonomous driving virtual test
CN109410672A (en) A kind of system and practical training method carrying out practice-training teaching using electronic sand table
Li A System Integrated with C# Programing and Real-Time 3D Observation for Learning Virtual Reality Technology
CN115311436A (en) Driving school teaching video processing method, device, system and storage medium
Schreiner et al. Using machine learning techniques to reduce data annotation time
CN105335917A (en) Test result processing method and device
CN114888795B (en) Future teaching space scene modeling and cognitive understanding method and system
Zhao et al. Practice and Exploration of Blended Teaching Based on VR Animation Laws of Motion Course
Parker Introduction to Game Development: Using Processing
Meredith Materials and equipment: The new generation
Nelson et al. On instructional utility, statistical methodology, and the added value of ECD: Lessons learned from the special issue

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
RJ01 Rejection of invention patent application after publication

Application publication date: 20201013

RJ01 Rejection of invention patent application after publication