GB2620925B - A computer-implemented method of generating training data for training a machine learning model - Google Patents
A computer-implemented method of generating training data for training a machine learning model Download PDFInfo
- Publication number
- GB2620925B GB2620925B GB2210759.3A GB202210759A GB2620925B GB 2620925 B GB2620925 B GB 2620925B GB 202210759 A GB202210759 A GB 202210759A GB 2620925 B GB2620925 B GB 2620925B
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- GB
- United Kingdom
- Prior art keywords
- training
- computer
- machine learning
- implemented method
- learning model
- 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.)
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Classifications
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/50—Context or environment of the image
- G06V20/56—Context or environment of the image exterior to a vehicle by using sensors mounted on the vehicle
- G06V20/588—Recognition of the road, e.g. of lane markings; Recognition of the vehicle driving pattern in relation to the road
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/70—Determining position or orientation of objects or cameras
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S17/00—Systems using the reflection or reradiation of electromagnetic waves other than radio waves, e.g. lidar systems
- G01S17/88—Lidar systems specially adapted for specific applications
- G01S17/89—Lidar systems specially adapted for specific applications for mapping or imaging
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S17/00—Systems using the reflection or reradiation of electromagnetic waves other than radio waves, e.g. lidar systems
- G01S17/88—Lidar systems specially adapted for specific applications
- G01S17/93—Lidar systems specially adapted for specific applications for anti-collision purposes
- G01S17/931—Lidar systems specially adapted for specific applications for anti-collision purposes of land vehicles
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/10—Segmentation; Edge detection
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/40—Extraction of image or video features
- G06V10/46—Descriptors for shape, contour or point-related descriptors, e.g. scale invariant feature transform [SIFT] or bags of words [BoW]; Salient regional features
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
- G06V10/82—Arrangements for image or video recognition or understanding using pattern recognition or machine learning using neural networks
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10028—Range image; Depth image; 3D point clouds
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/20—Special algorithmic details
- G06T2207/20081—Training; Learning
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Evolutionary Computation (AREA)
- Multimedia (AREA)
- Health & Medical Sciences (AREA)
- Artificial Intelligence (AREA)
- Computing Systems (AREA)
- Software Systems (AREA)
- General Health & Medical Sciences (AREA)
- Medical Informatics (AREA)
- Databases & Information Systems (AREA)
- Computer Networks & Wireless Communication (AREA)
- Electromagnetism (AREA)
- Radar, Positioning & Navigation (AREA)
- Remote Sensing (AREA)
- Biomedical Technology (AREA)
- Life Sciences & Earth Sciences (AREA)
- Biophysics (AREA)
- Computational Linguistics (AREA)
- Data Mining & Analysis (AREA)
- Molecular Biology (AREA)
- General Engineering & Computer Science (AREA)
- Mathematical Physics (AREA)
- Image Analysis (AREA)
Priority Applications (5)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| GB2210759.3A GB2620925B (en) | 2022-07-22 | 2022-07-22 | A computer-implemented method of generating training data for training a machine learning model |
| EP23736454.2A EP4558973A1 (en) | 2022-07-22 | 2023-06-23 | A computer-implemented method of generating training data for training a machine learning model |
| CA3262853A CA3262853A1 (en) | 2022-07-22 | 2023-06-23 | A computer-implemented method of generating training data for training a machine learning model |
| PCT/GB2023/051650 WO2024018172A1 (en) | 2022-07-22 | 2023-06-23 | A computer-implemented method of generating training data for training a machine learning model |
| JP2025502873A JP2025523201A (en) | 2022-07-22 | 2023-06-23 | Computer-implemented method for generating training data for training a machine learning model |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| GB2210759.3A GB2620925B (en) | 2022-07-22 | 2022-07-22 | A computer-implemented method of generating training data for training a machine learning model |
Publications (3)
| Publication Number | Publication Date |
|---|---|
| GB202210759D0 GB202210759D0 (en) | 2022-09-07 |
| GB2620925A GB2620925A (en) | 2024-01-31 |
| GB2620925B true GB2620925B (en) | 2024-10-02 |
Family
ID=84540327
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| GB2210759.3A Active GB2620925B (en) | 2022-07-22 | 2022-07-22 | A computer-implemented method of generating training data for training a machine learning model |
Country Status (5)
| Country | Link |
|---|---|
| EP (1) | EP4558973A1 (en) |
| JP (1) | JP2025523201A (en) |
| CA (1) | CA3262853A1 (en) |
| GB (1) | GB2620925B (en) |
| WO (1) | WO2024018172A1 (en) |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP3444693A1 (en) * | 2017-08-18 | 2019-02-20 | Wipro Limited | Method, system, and device for guiding autonomous vehicles based on dynamic extraction of road region |
| US20190147253A1 (en) * | 2017-11-15 | 2019-05-16 | Uber Technologies, Inc. | Autonomous Vehicle Lane Boundary Detection Systems and Methods |
| US20220164609A1 (en) * | 2020-11-23 | 2022-05-26 | Electronics And Telecommunications Research Institute | Apparatus for recognizing object of automated driving system using error removal based on object classification and method using the same |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108734120B (en) * | 2018-05-15 | 2022-05-10 | 百度在线网络技术(北京)有限公司 | Method, device and equipment for labeling image and computer readable storage medium |
-
2022
- 2022-07-22 GB GB2210759.3A patent/GB2620925B/en active Active
-
2023
- 2023-06-23 WO PCT/GB2023/051650 patent/WO2024018172A1/en not_active Ceased
- 2023-06-23 JP JP2025502873A patent/JP2025523201A/en active Pending
- 2023-06-23 EP EP23736454.2A patent/EP4558973A1/en active Pending
- 2023-06-23 CA CA3262853A patent/CA3262853A1/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP3444693A1 (en) * | 2017-08-18 | 2019-02-20 | Wipro Limited | Method, system, and device for guiding autonomous vehicles based on dynamic extraction of road region |
| US20190147253A1 (en) * | 2017-11-15 | 2019-05-16 | Uber Technologies, Inc. | Autonomous Vehicle Lane Boundary Detection Systems and Methods |
| US20220164609A1 (en) * | 2020-11-23 | 2022-05-26 | Electronics And Telecommunications Research Institute | Apparatus for recognizing object of automated driving system using error removal based on object classification and method using the same |
Also Published As
| Publication number | Publication date |
|---|---|
| GB202210759D0 (en) | 2022-09-07 |
| EP4558973A1 (en) | 2025-05-28 |
| CA3262853A1 (en) | 2024-01-25 |
| GB2620925A (en) | 2024-01-31 |
| JP2025523201A (en) | 2025-07-17 |
| WO2024018172A1 (en) | 2024-01-25 |
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