CA3093836A1 - Systeme d'intelligence artificielle et d'administration de routes a la demande - Google Patents

Systeme d'intelligence artificielle et d'administration de routes a la demande Download PDF

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Publication number
CA3093836A1
CA3093836A1 CA3093836A CA3093836A CA3093836A1 CA 3093836 A1 CA3093836 A1 CA 3093836A1 CA 3093836 A CA3093836 A CA 3093836A CA 3093836 A CA3093836 A CA 3093836A CA 3093836 A1 CA3093836 A1 CA 3093836A1
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vehicle
images
detection
parking
objects
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Abandoned
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CA3093836A
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Jayant RATTI
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Priority claimed from US15/919,033 external-priority patent/US10296794B2/en
Application filed by Individual filed Critical Individual
Publication of CA3093836A1 publication Critical patent/CA3093836A1/fr
Abandoned legal-status Critical Current

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    • 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
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/24—Classification techniques
    • G06F18/241—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches
    • G06F18/2413—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches based on distances to training or reference patterns
    • G06F18/24133—Distances to prototypes
    • G06F18/24137—Distances to cluster centroïds
    • 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
    • G06N3/04—Architecture, e.g. interconnection topology
    • G06N3/045—Combinations of networks
    • 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
    • G06N3/04—Architecture, e.g. interconnection topology
    • G06N3/0464—Convolutional networks [CNN, ConvNet]
    • 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
    • G06N3/08—Learning methods
    • G06N3/084—Backpropagation, e.g. using gradient descent
    • 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
    • G06N3/08—Learning methods
    • G06N3/09—Supervised learning
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/94—Hardware or software architectures specially adapted for image or video understanding
    • G06V10/95—Hardware or software architectures specially adapted for image or video understanding structured as a network, e.g. client-server architectures
    • 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
    • G06V20/52—Surveillance or monitoring of activities, e.g. for recognising suspicious objects
    • 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
    • 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
    • G06V20/59—Context or environment of the image inside of a vehicle, e.g. relating to seat occupancy, driver state or inner lighting conditions
    • G06V20/597—Recognising the driver's state or behaviour, e.g. attention or drowsiness
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00—Scenes; Scene-specific elements
    • G06V20/60—Type of objects
    • G06V20/62—Text, e.g. of license plates, overlay texts or captions on TV images
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/18—Eye characteristics, e.g. of the iris
    • G06V40/19—Sensors therefor
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/20—Movements or behaviour, e.g. gesture recognition
    • 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
    • G06N3/04—Architecture, e.g. interconnection topology
    • G06N3/048—Activation functions
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N5/00—Computing arrangements using knowledge-based models
    • G06N5/02—Knowledge representation; Symbolic representation
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N7/00—Computing arrangements based on specific mathematical models
    • G06N7/01—Probabilistic graphical models, e.g. probabilistic networks

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  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Multimedia (AREA)
  • General Health & Medical Sciences (AREA)
  • Health & Medical Sciences (AREA)
  • Evolutionary Computation (AREA)
  • Software Systems (AREA)
  • Artificial Intelligence (AREA)
  • Computing Systems (AREA)
  • Data Mining & Analysis (AREA)
  • General Engineering & Computer Science (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Biomedical Technology (AREA)
  • Human Computer Interaction (AREA)
  • Mathematical Physics (AREA)
  • Molecular Biology (AREA)
  • Computational Linguistics (AREA)
  • Biophysics (AREA)
  • Ophthalmology & Optometry (AREA)
  • Databases & Information Systems (AREA)
  • Psychiatry (AREA)
  • Social Psychology (AREA)
  • Medical Informatics (AREA)
  • Evolutionary Biology (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Traffic Control Systems (AREA)
  • Image Analysis (AREA)
  • Document Processing Apparatus (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

La présente invention concerne des systèmes basés sur l'intelligence artificielle et un procédé de détermination d'infractions à la circulation. Cette invention utilise des réseaux neuronaux convolutifs profonds et des algorithmes basés sur la vision artificielle pour effectuer une tâche de détection et de reconnaissance afin de fournir une solution complète assurant aux usagers des routes un stationnement, une conduite et des trajets sûrs, respectueux de la loi et agréables. Les systèmes d'administration de routes et les systèmes de gestion de stationnement, lorsqu'ils sont à la demande et communautaires, peuvent jouer un rôle très important dans la régulation des conditions de conduite dans les villes et sur les autoroutes. Grâce à l'automatisation d'un système d'administration de routes à la demande communautaire au moyen de sous-systèmes d'intelligence artificielle (IA), les utilisateurs peuvent être habitués à reconnaître les lois et réglementations quant à l'usage des routes et être informés de celles-ci. Le processus peut être facilité par une console interactive/un jeu, ce qui peut également servir à la monétisation afin que les individus gagnent de l'argent en échange de leur contribution.
CA3093836A 2018-03-12 2019-02-18 Systeme d'intelligence artificielle et d'administration de routes a la demande Abandoned CA3093836A1 (fr)

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
US15/919,033 US10296794B2 (en) 2016-12-20 2018-03-12 On-demand artificial intelligence and roadway stewardship system
US15/919,033 2018-03-12
PCT/IB2019/051294 WO2019175686A1 (fr) 2018-03-12 2019-02-18 Système d'intelligence artificielle et d'administration de routes à la demande

Publications (1)

Publication Number Publication Date
CA3093836A1 true CA3093836A1 (fr) 2019-09-19

Family

ID=67908733

Family Applications (1)

Application Number Title Priority Date Filing Date
CA3093836A Abandoned CA3093836A1 (fr) 2018-03-12 2019-02-18 Systeme d'intelligence artificielle et d'administration de routes a la demande

Country Status (5)

Country Link
EP (1) EP3676754A4 (fr)
AU (2) AU2019235551B2 (fr)
CA (1) CA3093836A1 (fr)
SG (1) SG11201909815RA (fr)
WO (1) WO2019175686A1 (fr)

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20190384295A1 (en) * 2015-02-10 2019-12-19 Mobileye Vision Technologies Ltd. Systems and methods for identifying landmarks
US20220165065A1 (en) * 2019-10-31 2022-05-26 Aptiv Technologies Limited Multi-Domain Neighborhood Embedding and Weighting of Sampled Data
US20230154332A1 (en) * 2021-11-18 2023-05-18 Here Global B.V. Predicting traffic violation hotspots using map features and sensors data

Families Citing this family (15)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110807429B (zh) * 2019-10-23 2023-04-07 西安科技大学 基于tiny-YOLOv3的施工安全检测方法及系统
CN110909626A (zh) * 2019-11-04 2020-03-24 上海眼控科技股份有限公司 车辆压线检测方法、装置、移动终端及存储介质
CN111259796A (zh) * 2020-01-16 2020-06-09 东华大学 一种基于图像几何特征的车道线检测方法
CN113269005B (zh) * 2020-02-14 2024-06-11 深圳云天励飞技术有限公司 一种安全带检测方法、装置及电子设备
US11494865B2 (en) * 2020-04-21 2022-11-08 Micron Technology, Inc. Passenger screening
CN111523544A (zh) * 2020-04-23 2020-08-11 上海眼控科技股份有限公司 车牌类型检测方法、系统、计算机设备及可读存储介质
CN111523488A (zh) * 2020-04-26 2020-08-11 上海集光安防科技股份有限公司 厨房工作人员行为实时监控方法
CN111582189B (zh) * 2020-05-11 2023-06-23 腾讯科技（深圳）有限公司 交通信号灯识别方法、装置、车载控制终端及机动车
CN114092897B (zh) * 2020-07-30 2025-11-28 罗伯特·博世有限公司 道路分类方法与设备
US12241754B2 (en) * 2020-08-04 2025-03-04 Toyota Research Institute, Inc. Systems and methods for map verification
CN111814762A (zh) * 2020-08-24 2020-10-23 深延科技(北京)有限公司 头盔佩戴检测方法和装置
CN113486764B (zh) * 2021-06-30 2022-05-03 中南大学 一种基于改进的YOLOv3的坑洼检测方法
IL288772B2 (en) * 2021-12-07 2023-09-01 Biosphera Inc A method for quantifying the level of performance of human action designed to mitigate anthropogenic effects on the environment
CN117423093B (zh) * 2023-12-18 2024-03-29 深圳市深航华创汽车科技有限公司 基于行车记录仪的行车检测方法、装置、设备及存储介质
CN118379671B (zh) * 2024-06-27 2024-08-16 四川国蓝中天环境科技集团有限公司 一种基于视频和路径规划的城市道路破损识别方法

Family Cites Families (65)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5448484A (en) * 1992-11-03 1995-09-05 Bullock; Darcy M. Neural network-based vehicle detection system and method
US6546119B2 (en) 1998-02-24 2003-04-08 Redflex Traffic Systems Automated traffic violation monitoring and reporting system
DE19842176A1 (de) 1998-09-15 2000-03-16 Bosch Gmbh Robert Verfahren und Vorrichtung zur Verkehrszeichenerkennung und Navigation
DE19952153A1 (de) 1999-10-29 2001-05-03 Volkswagen Ag Verfahren und Einrichtung zur elektronischen Erkennung von Verkehrszeichen
US7526103B2 (en) 2004-04-15 2009-04-28 Donnelly Corporation Imaging system for vehicle
US7720580B2 (en) 2004-12-23 2010-05-18 Donnelly Corporation Object detection system for vehicle
DE102005014114A1 (de) 2005-03-21 2006-10-05 Valeo Schalter Und Sensoren Gmbh Spurerkennungssystem und Verfahren
DE102005039895A1 (de) 2005-08-23 2007-03-01 Siemens Ag System für Spurverlassenswarnung und/oder Spurhaltefunktion
US8446467B2 (en) 2006-05-05 2013-05-21 Scott K. Tilton Combined speed detection, video and timing apparatus
CA2674830A1 (fr) 2007-01-05 2008-07-17 Nestor, Inc. Systeme de detection de vitesse video
CN100565555C (zh) 2007-12-05 2009-12-02 浙江工业大学 基于计算机视觉的违章停车检测装置
US8041080B2 (en) 2009-03-31 2011-10-18 Mitsubi Electric Research Laboratories, Inc. Method for recognizing traffic signs
US8587649B2 (en) 2009-04-21 2013-11-19 Create Electronic Optical Co., Ltd. Lane departure warning system
TWI431559B (zh) 2010-10-29 2014-03-21 Univ Nat Chiao Tung 車牌偵測辨識方法及其系統
US9092979B2 (en) 2010-12-14 2015-07-28 Xerox Corporation Automated license plate recognition system and method using human-in-the-loop based adaptive learning
SE535596C2 (sv) 2011-02-14 2012-10-09 Scania Cv Ab Längdskattning av fordon
US10081308B2 (en) 2011-07-08 2018-09-25 Bendix Commercial Vehicle Systems Llc Image-based vehicle detection and distance measuring method and apparatus
DE102011081456A1 (de) 2011-08-24 2013-02-28 Ford Global Technologies, Llc Vorrichtung und Verfahren zur Verkehrszeichenerkennung
CN103020623B (zh) 2011-09-23 2016-04-06 株式会社理光 交通标志检测方法和交通标志检测设备
EP2574958B1 (fr) 2011-09-28 2017-02-22 Honda Research Institute Europe GmbH Procédé de détection de terrain sur route et système pour systèmes d'assistance au conducteur
EP2578464B1 (fr) 2011-10-06 2014-03-19 Honda Research Institute Europe GmbH Système d'alerte de type vidéo pour un véhicule
CN202422420U (zh) 2012-01-13 2012-09-05 大连民族学院 一种基于视频监控的违章停车检测系统
US20130311075A1 (en) 2012-05-18 2013-11-21 Continental Automotive Systems, Inc. Motorcycle and helmet providing advance driver assistance
US10347127B2 (en) 2013-02-21 2019-07-09 Waymo Llc Driving mode adjustment
WO2014193319A1 (fr) 2013-05-27 2014-12-04 Ekin Teknoloji Sanayi Ve Ticaret Anonim Sirketi Système mobile de reconnaissance de plaque d'immatriculation et de détection de vitesse
US9305223B1 (en) 2013-06-26 2016-04-05 Google Inc. Vision-based indicator signal detection using spatiotemporal filtering
EP3017403A2 (fr) * 2013-07-01 2016-05-11 Agent Video Intelligence Ltd. Système et procédé de détection d'anomalie
ES2455841B1 (es) 2013-07-17 2015-01-21 Kaparazoom Slu Señal de identificación de semáforos para visión computarizada
WO2015056105A1 (fr) 2013-10-14 2015-04-23 Mobileye Vision Technologies Ltd. Système d'imagerie multiple orientée vers l'avant pour la navigation d'un véhicule
US9412031B2 (en) 2013-10-16 2016-08-09 Xerox Corporation Delayed vehicle identification for privacy enforcement
CN103778786B (zh) 2013-12-17 2016-04-27 东莞中国科学院云计算产业技术创新与育成中心 一种基于显著车辆部件模型的交通违章检测方法
JP5894201B2 (ja) 2014-02-14 2016-03-23 株式会社日本自動車部品総合研究所 境界線認識装置
US9477892B2 (en) * 2014-03-26 2016-10-25 Xerox Corporation Efficient method of offline training a special-type parked vehicle detector for video-based on-street parking occupancy detection systems
EP4187523A1 (fr) 2014-05-14 2023-05-31 Mobileye Vision Technologies Ltd. Systèmes et procédés de détection de bordure de trottoir et d'évaluation des risques pour les piétons
US9747505B2 (en) 2014-07-07 2017-08-29 Here Global B.V. Lane level traffic
CN104200668B (zh) 2014-07-28 2017-07-11 四川大学 一种基于图像分析的摩托车不戴头盔违章事件检测方法
US9779314B1 (en) 2014-08-21 2017-10-03 Waymo Llc Vision-based detection and classification of traffic lights
CN104298976B (zh) 2014-10-16 2017-09-26 电子科技大学 基于卷积神经网络的车牌检测方法
US10438073B2 (en) 2014-10-28 2019-10-08 Trw Automotive U.S. Llc Augmented lane detection using kinematic data
US9286524B1 (en) 2015-04-15 2016-03-15 Toyota Motor Engineering & Manufacturing North America, Inc. Multi-task deep convolutional neural networks for efficient and robust traffic lane detection
US10078789B2 (en) 2015-07-17 2018-09-18 Magna Electronics Inc. Vehicle parking assist system with vision-based parking space detection
US9805274B2 (en) 2016-02-03 2017-10-31 Honda Motor Co., Ltd. Partially occluded object detection using context and depth ordering
KR101818842B1 (ko) 2016-03-10 2018-02-21 현대오토에버 주식회사 운전지원장치, 거리감지방법 및 차로의 너비감지방법
US20170300763A1 (en) 2016-04-19 2017-10-19 GM Global Technology Operations LLC Road feature detection using a vehicle camera system
CN105975929A (zh) 2016-05-04 2016-09-28 北京大学深圳研究生院 一种基于聚合通道特征的快速行人检测方法
US9760806B1 (en) 2016-05-11 2017-09-12 TCL Research America Inc. Method and system for vision-centric deep-learning-based road situation analysis
CN106022300B (zh) 2016-06-02 2019-07-05 中国科学院信息工程研究所 基于级联深度学习的交通标志识别方法和系统
EP3261017A1 (fr) 2016-06-20 2017-12-27 Delphi Technologies, Inc. Système de traitement d'image pour détecter des objets d'intérêt
US10019640B2 (en) 2016-06-24 2018-07-10 Accenture Global Solutions Limited Intelligent automatic license plate recognition for electronic tolling environments
CN106295551B (zh) 2016-08-05 2019-10-18 南京理工大学 一种基于视频分析的人员安全帽佩戴情况实时检测方法
CN106250892A (zh) 2016-08-11 2016-12-21 万永秀 车牌字符自动识别方法
CN106408000A (zh) 2016-08-25 2017-02-15 国网浙江省电力公司杭州供电公司 一种人员安全帽智能检测方法及装置
CN106372662B (zh) 2016-08-30 2020-04-28 腾讯科技（深圳）有限公司 安全帽佩戴的检测方法和装置、摄像头、服务器
CN106373426B (zh) 2016-09-29 2019-02-12 成都通甲优博科技有限责任公司 基于计算机视觉的停车位及违规占道停车监控方法
CN106652465B (zh) 2016-11-15 2020-04-07 成都通甲优博科技有限责任公司 一种道路异常驾驶行为的识别方法及系统
CN106327878A (zh) 2016-11-16 2017-01-11 天津市中环系统工程有限责任公司 一种移动违停抓拍系统及实现方法
CN106845480A (zh) 2017-01-13 2017-06-13 河海大学 一种从图片中识别车牌的方法
CN106874907B (zh) 2017-01-19 2019-08-27 博康智能信息技术有限公司北京海淀分公司 一种建立车牌识别模型的方法及装置
CN106874863B (zh) * 2017-01-24 2020-02-07 南京大学 基于深度卷积神经网络的车辆违停逆行检测方法
CN106845430A (zh) 2017-02-06 2017-06-13 东华大学 基于加速区域卷积神经网络的行人检测与跟踪方法
CN107154045B (zh) 2017-03-31 2020-06-09 南京航空航天大学 一种基于计算机视觉的导流区违章轧线车辆精确定位方法
CN106935035B (zh) 2017-04-07 2019-07-23 西安电子科技大学 基于ssd神经网络的违章停车车辆实时检测方法
CN107730906A (zh) * 2017-07-11 2018-02-23 银江股份有限公司 斑马线车辆不礼让行人行为的视觉检测系统
CN107491753A (zh) 2017-08-16 2017-12-19 电子科技大学 一种基于背景建模的违章停车检测方法
CN107481526A (zh) 2017-09-07 2017-12-15 公安部第三研究所 用于行车变道检测记录及违章变道举报控制的系统及方法

Cited By (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20190384295A1 (en) * 2015-02-10 2019-12-19 Mobileye Vision Technologies Ltd. Systems and methods for identifying landmarks
US20190384294A1 (en) * 2015-02-10 2019-12-19 Mobileye Vision Technologies Ltd. Crowd sourcing data for autonomous vehicle navigation
US11599113B2 (en) * 2015-02-10 2023-03-07 Mobileye Vision Technologies Ltd. Crowd sourcing data for autonomous vehicle navigation
US11774251B2 (en) * 2015-02-10 2023-10-03 Mobileye Vision Technologies Ltd. Systems and methods for identifying landmarks
US20220165065A1 (en) * 2019-10-31 2022-05-26 Aptiv Technologies Limited Multi-Domain Neighborhood Embedding and Weighting of Sampled Data
US11693090B2 (en) * 2019-10-31 2023-07-04 Aptiv Technologies Limited Multi-domain neighborhood embedding and weighting of sampled data
US20230154332A1 (en) * 2021-11-18 2023-05-18 Here Global B.V. Predicting traffic violation hotspots using map features and sensors data
US12230139B2 (en) * 2021-11-18 2025-02-18 Here Global B.V. Predicting traffic violation hotspots using map features and sensors data

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AU2019235551B2 (en) 2022-02-03
AU2019235551A1 (en) 2020-09-24
WO2019175686A1 (fr) 2019-09-19
AU2021254525A1 (en) 2021-11-11

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