KR20220093312A - 인지 시스템을 훈련 및 검증하기 위한 방법 및 시스템 - Google Patents

인지 시스템을 훈련 및 검증하기 위한 방법 및 시스템 Download PDF

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KR20220093312A
KR20220093312A KR1020227011746A KR20227011746A KR20220093312A KR 20220093312 A KR20220093312 A KR 20220093312A KR 1020227011746 A KR1020227011746 A KR 1020227011746A KR 20227011746 A KR20227011746 A KR 20227011746A KR 20220093312 A KR20220093312 A KR 20220093312A
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neural network
image
characteristic
test
sensors
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유발 네흐마디
에즈라 사하르 벤
슈무엘 망간
마크 바그너
안나 코헨
잇직크 아비탈
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바야비전 센싱 리미티드
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    • G06N3/09—Supervised learning
    • 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
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/20—Image preprocessing
    • G06V10/25—Determination of region of interest [ROI] or a volume of interest [VOI]
    • G—PHYSICS
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    • 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
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    • 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
    • G06V10/77—Processing image or video features in feature spaces; using data integration or data reduction, e.g. principal component analysis [PCA] or independent component analysis [ICA] or self-organising maps [SOM]; Blind source separation
    • G06V10/774—Generating sets of training patterns; Bootstrap methods, e.g. bagging or boosting
    • 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
    • G06V10/77—Processing image or video features in feature spaces; using data integration or data reduction, e.g. principal component analysis [PCA] or independent component analysis [ICA] or self-organising maps [SOM]; Blind source separation
    • G06V10/776—Validation; Performance evaluation
    • 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
    • G06V10/77—Processing image or video features in feature spaces; using data integration or data reduction, e.g. principal component analysis [PCA] or independent component analysis [ICA] or self-organising maps [SOM]; Blind source separation
    • G06V10/778—Active pattern-learning, e.g. online learning of image or video features
    • G06V10/7784—Active pattern-learning, e.g. online learning of image or video features based on feedback from supervisors
    • G06V10/7792—Active pattern-learning, e.g. online learning of image or video features based on feedback from supervisors the supervisor being an automated module, e.g. "intelligent oracle"
    • 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
    • G06V10/77—Processing image or video features in feature spaces; using data integration or data reduction, e.g. principal component analysis [PCA] or independent component analysis [ICA] or self-organising maps [SOM]; Blind source separation
    • G06V10/80—Fusion, i.e. combining data from various sources at the sensor level, preprocessing level, feature extraction level or classification level
    • G06V10/803—Fusion, i.e. combining data from various sources at the sensor level, preprocessing level, feature extraction level or classification level of input or preprocessed data
    • 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
    • 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
    • G06V20/58—Recognition of moving objects or obstacles, e.g. vehicles or pedestrians; Recognition of traffic objects, e.g. traffic signs, traffic lights or roads
    • 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

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  • Engineering & Computer Science (AREA)
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KR1020227011746A 2019-09-22 2020-09-22 인지 시스템을 훈련 및 검증하기 위한 방법 및 시스템 Pending KR20220093312A (ko)

Applications Claiming Priority (3)

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US201962903846P 2019-09-22 2019-09-22
US62/903,846 2019-09-22
PCT/IL2020/051028 WO2021053680A2 (en) 2019-09-22 2020-09-22 Methods and systems for training and validating a perception system

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KR20220093312A true KR20220093312A (ko) 2022-07-05

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US (2) US12093834B2 (https=)
EP (1) EP4031835A4 (https=)
JP (1) JP7707174B2 (https=)
KR (1) KR20220093312A (https=)
CN (1) CN114787880A (https=)
CA (2) CA3198976A1 (https=)
WO (1) WO2021053680A2 (https=)

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US12314346B2 (en) 2024-12-19 2025-05-27 Digital Global Systems, Inc. Systems and methods of sensor data fusion
US12487564B2 (en) 2024-12-19 2025-12-02 Digital Global Systems, Inc. Systems and methods of sensor data fusion
US12479105B2 (en) 2024-12-19 2025-11-25 Digital Global Systems, Inc Systems and methods of sensor data fusion

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US8908159B2 (en) 2011-05-11 2014-12-09 Leddartech Inc. Multiple-field-of-view scannerless optical rangefinder in high ambient background light
JP5629642B2 (ja) 2011-05-19 2014-11-26 株式会社ソニー・コンピュータエンタテインメント 動画像撮影装置、情報処理システム、情報処理装置、および画像データ処理方法
US9235988B2 (en) 2012-03-02 2016-01-12 Leddartech Inc. System and method for multipurpose traffic detection and characterization
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US10460208B1 (en) * 2019-01-02 2019-10-29 Cognata Ltd. System and method for generating large simulation data sets for testing an autonomous driver
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Publication number Publication date
CN114787880A (zh) 2022-07-22
EP4031835A4 (en) 2023-10-04
EP4031835A2 (en) 2022-07-27
CA3155593A1 (en) 2021-03-25
WO2021053680A2 (en) 2021-03-25
CA3198976A1 (en) 2021-03-25
US20240419974A1 (en) 2024-12-19
US20220335729A1 (en) 2022-10-20
JP7707174B2 (ja) 2025-07-14
CA3155593C (en) 2023-07-25
JP2022550487A (ja) 2022-12-01
US12093834B2 (en) 2024-09-17
WO2021053680A3 (en) 2021-06-17

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