CN111357012B - 用于识别与评估车道状况和与天气相关的环境影响的方法和装置 - Google Patents

用于识别与评估车道状况和与天气相关的环境影响的方法和装置 Download PDF

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CN111357012B
CN111357012B CN201980005798.XA CN201980005798A CN111357012B CN 111357012 B CN111357012 B CN 111357012B CN 201980005798 A CN201980005798 A CN 201980005798A CN 111357012 B CN111357012 B CN 111357012B
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lane
vehicle
image
disturbance
reflection type
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CN111357012A (zh
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B·哈特曼
M·阿姆托尔
J·登茨勒
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Continental Zhixing Germany Co ltd
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Continental Zhixing Germany Co ltd
Continental Teves AG and Co OHG
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    • 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
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60WCONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
    • B60W40/00Estimation or calculation of non-directly measurable driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, e.g. by using mathematical models
    • B60W40/02Estimation or calculation of non-directly measurable driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, e.g. by using mathematical models related to ambient conditions
    • B60W40/06Road conditions
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00Pattern recognition
    • G06F18/20Analysing
    • G06F18/25Fusion techniques
    • G06F18/254Fusion techniques of classification results, e.g. of results related to same input data
    • G06F18/256Fusion techniques of classification results, e.g. of results related to same input data of results relating to different input data, e.g. multimodal recognition
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N20/00Machine learning
    • 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
    • G06V10/60Extraction of image or video features relating to illumination properties, e.g. using a reflectance or lighting model
    • 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
    • G06V10/77Processing 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
    • G06V10/80Fusion, i.e. combining data from various sources at the sensor level, preprocessing level, feature extraction level or classification level
    • G06V10/809Fusion, i.e. combining data from various sources at the sensor level, preprocessing level, feature extraction level or classification level of classification results, e.g. where the classifiers operate on the same input data
    • G06V10/811Fusion, i.e. combining data from various sources at the sensor level, preprocessing level, feature extraction level or classification level of classification results, e.g. where the classifiers operate on the same input data the classifiers operating on different input data, e.g. multi-modal recognition
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60WCONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
    • B60W2420/00Indexing codes relating to the type of sensors based on the principle of their operation
    • B60W2420/40Photo, light or radio wave sensitive means, e.g. infrared sensors
    • B60W2420/403Image sensing, e.g. optical camera
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60WCONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
    • B60W2552/00Input parameters relating to infrastructure
    • B60W2552/05Type of road, e.g. motorways, local streets, paved or unpaved roads
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60WCONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
    • B60W2555/00Input parameters relating to exterior conditions, not covered by groups B60W2552/00, B60W2554/00
    • B60W2555/20Ambient conditions, e.g. wind or rain

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  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Software Systems (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Multimedia (AREA)
  • Evolutionary Computation (AREA)
  • Artificial Intelligence (AREA)
  • Computing Systems (AREA)
  • Medical Informatics (AREA)
  • Data Mining & Analysis (AREA)
  • Mathematical Physics (AREA)
  • General Engineering & Computer Science (AREA)
  • Health & Medical Sciences (AREA)
  • General Health & Medical Sciences (AREA)
  • Databases & Information Systems (AREA)
  • Transportation (AREA)
  • Automation & Control Theory (AREA)
  • Mechanical Engineering (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Evolutionary Biology (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Traffic Control Systems (AREA)
  • Image Analysis (AREA)
  • Control Of Driving Devices And Active Controlling Of Vehicle (AREA)
CN201980005798.XA 2018-03-13 2019-02-26 用于识别与评估车道状况和与天气相关的环境影响的方法和装置 Active CN111357012B (zh)

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
DE102018203807.4A DE102018203807A1 (de) 2018-03-13 2018-03-13 Verfahren und Vorrichtung zur Erkennung und Bewertung von Fahrbahnzuständen und witterungsbedingten Umwelteinflüssen
DE102018203807.4 2018-03-13
PCT/DE2019/200016 WO2019174682A1 (de) 2018-03-13 2019-02-26 Verfahren und vorrichtung zur erkennung und bewertung von fahrbahnzuständen und witterungsbedingten umwelteinflüssen

Publications (2)

Publication Number Publication Date
CN111357012A CN111357012A (zh) 2020-06-30
CN111357012B true CN111357012B (zh) 2025-02-18

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US (1) US12249153B2 (enExample)
JP (1) JP7291129B2 (enExample)
CN (1) CN111357012B (enExample)
DE (2) DE102018203807A1 (enExample)
WO (1) WO2019174682A1 (enExample)

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DE102022206625A1 (de) 2022-06-29 2024-01-04 Continental Autonomous Mobility Germany GmbH Verfahren und System zur Straßenzustandsüberwachung durch ein maschinelles Lernsystem sowie Verfahren zum Trainieren des maschinellen Lernsystems
KR102449392B1 (ko) * 2022-07-05 2022-10-07 전해석 노면 상태에 기반한 주행 안전 확보를 위한 차량용 ecu의 최적화 및 제어 시스템 및 이를 이용한 차량용 ecu의 최적화 및 제어 방법
IT202200015960A1 (it) * 2022-07-28 2024-01-28 Fca Italy Spa Assistenza alla guida di un autoveicolo in presenza di aquaplaning
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Also Published As

Publication number Publication date
DE112019000092A5 (de) 2020-06-10
WO2019174682A1 (de) 2019-09-19
US20200406897A1 (en) 2020-12-31
CN111357012A (zh) 2020-06-30
DE102018203807A1 (de) 2019-09-19
US12249153B2 (en) 2025-03-11
JP7291129B2 (ja) 2023-06-14
JP2021517675A (ja) 2021-07-26

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