[go: up one dir, main page]

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 PDF

Info

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
Authority
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.)
Active
Application number
GB2210759.3A
Other versions
GB202210759D0 (en
GB2620925A (en
Inventor
Suleymanov Tarlan
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.)
Oxa Autonomy Ltd
Original Assignee
Oxa Autonomy 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 Oxa Autonomy Ltd filed Critical Oxa Autonomy Ltd
Priority to GB2210759.3A priority Critical patent/GB2620925B/en
Publication of GB202210759D0 publication Critical patent/GB202210759D0/en
Priority to EP23736454.2A priority patent/EP4558973A1/en
Priority to CA3262853A priority patent/CA3262853A1/en
Priority to PCT/GB2023/051650 priority patent/WO2024018172A1/en
Priority to JP2025502873A priority patent/JP2025523201A/en
Publication of GB2620925A publication Critical patent/GB2620925A/en
Application granted granted Critical
Publication of GB2620925B publication Critical patent/GB2620925B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00Scenes; Scene-specific elements
    • G06V20/50Context or environment of the image
    • G06V20/56Context or environment of the image exterior to a vehicle by using sensors mounted on the vehicle
    • G06V20/588Recognition of the road, e.g. of lane markings; Recognition of the vehicle driving pattern in relation to the road
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/70Determining position or orientation of objects or cameras
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01SRADIO 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
    • G01S17/00Systems using the reflection or reradiation of electromagnetic waves other than radio waves, e.g. lidar systems
    • G01S17/88Lidar systems specially adapted for specific applications
    • G01S17/89Lidar systems specially adapted for specific applications for mapping or imaging
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01SRADIO 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
    • G01S17/00Systems using the reflection or reradiation of electromagnetic waves other than radio waves, e.g. lidar systems
    • G01S17/88Lidar systems specially adapted for specific applications
    • G01S17/93Lidar systems specially adapted for specific applications for anti-collision purposes
    • G01S17/931Lidar systems specially adapted for specific applications for anti-collision purposes of land vehicles
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/10Segmentation; Edge detection
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00Arrangements for image or video recognition or understanding
    • G06V10/40Extraction of image or video features
    • G06V10/46Descriptors for shape, contour or point-related descriptors, e.g. scale invariant feature transform [SIFT] or bags of words [BoW]; Salient regional features
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00Arrangements for image or video recognition or understanding
    • G06V10/70Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/82Arrangements for image or video recognition or understanding using pattern recognition or machine learning using neural networks
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/10Image acquisition modality
    • G06T2207/10028Range image; Depth image; 3D point clouds
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/20Special algorithmic details
    • G06T2207/20081Training; 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)
GB2210759.3A 2022-07-22 2022-07-22 A computer-implemented method of generating training data for training a machine learning model Active GB2620925B (en)

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)

* Cited by examiner, † Cited by third party
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)

* Cited by examiner, † Cited by third party
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

Patent Citations (3)

* Cited by examiner, † Cited by third party
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

Similar Documents

Publication Publication Date Title
GB202204987D0 (en) Methods and apparatus for generating training data to train machine learning based models
ZA202207735B (en) A machine learning method for gaussian mixture model clustering under missing conditions
GB202216551D0 (en) A method of training a first set of models
GB202006063D0 (en) Methods and systems for training a machine learning model
EP4035127A4 (en) Interactive training of a machine learning model for tissue segmentation
GB2624270B (en) Method for training a machine learning model to perform object detection
GB202217089D0 (en) Iterative training of machine learning model
EP4270266A4 (en) Method and apparatus for updating machine learning model
GB2597238B (en) A computer implemented method of generating a parametric structural design model
GB202303441D0 (en) Natural language analysis of a command line using a machine learning model to generate a natural language description of the command line
KR102697946B9 (en) Quality inspection method by increasing training data for deep learning
GB202104244D0 (en) Facilitating hydrocarbon exploration by applying a machine learning model to basin data
EP4222665A4 (en) AUTOMATED GENERATION OF A MACHINE LEARNING MODEL FROM COMPUTER SIMULATION DATA
EP4489467A4 (en) Communication method and device for training a machine learning model
EP4394769A4 (en) METHOD AND DEVICE FOR TRAINING A SPEECH IMPROVEMENT MODEL, IMPROVEMENT METHOD, ELECTRONIC DEVICE, STORAGE MEDIUM AND PROGRAM PRODUCT
GB202317175D0 (en) training mutimodal machine learning models to perform a task using noisy training datasets
GB2620925B (en) A computer-implemented method of generating training data for training a machine learning model
GB202211951D0 (en) Method and apparatus for generating a noise-resilient machine learning model
GB2626957B (en) An apparatus for generating datasets for training machine learning models and a method thereof
EP4550224A4 (en) RELEVANT DEVICE OF A MODEL TRAINING METHOD
GB202410101D0 (en) Un-learning of training data for machine learning models
GB202411974D0 (en) Generating training data for a machine learning model
PL4360559T3 (en) A training method of a computer-implemented machine learning model for obtaining a resting energy expenditure (ree) parameter of a subject
GB202416120D0 (en) Apparatus and method for training a machine learning model to generate a match score using profile data and regernce data
GB202307223D0 (en) Computer-implemented method for generating a training dataset