[go: up one dir, main page]

MX2017012904A - Aparato y metodo de clasificacion de precipitacion con multiples sensores, aparato y metodo. - Google Patents

Aparato y metodo de clasificacion de precipitacion con multiples sensores, aparato y metodo.

Info

Publication number
MX2017012904A
MX2017012904A MX2017012904A MX2017012904A MX2017012904A MX 2017012904 A MX2017012904 A MX 2017012904A MX 2017012904 A MX2017012904 A MX 2017012904A MX 2017012904 A MX2017012904 A MX 2017012904A MX 2017012904 A MX2017012904 A MX 2017012904A
Authority
MX
Mexico
Prior art keywords
vehicle
board
data
neural network
accelerometer
Prior art date
Application number
MX2017012904A
Other languages
English (en)
Inventor
Vincent Myers Scott
Nagraj Rao Nikhil
Charette Francois
Ganesh Karandikar Ramchandra
Original Assignee
Ford Global Tech Llc
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 Ford Global Tech Llc filed Critical Ford Global Tech Llc
Publication of MX2017012904A publication Critical patent/MX2017012904A/es

Links

Classifications

    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B19/00—Programme-control systems
    • G05B19/02—Programme-control systems electric
    • G05B19/04—Programme control other than numerical control, i.e. in sequence controllers or logic controllers
    • G05B19/042—Programme control other than numerical control, i.e. in sequence controllers or logic controllers using digital processors
    • G05B19/0428—Safety, monitoring
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60S—SERVICING, CLEANING, REPAIRING, SUPPORTING, LIFTING, OR MANOEUVRING OF VEHICLES, NOT OTHERWISE PROVIDED FOR
    • B60S1/00—Cleaning of vehicles
    • B60S1/02—Cleaning windscreens, windows or optical devices
    • B60S1/04—Wipers or the like, e.g. scrapers
    • B60S1/06—Wipers or the like, e.g. scrapers characterised by the drive
    • B60S1/08—Wipers or the like, e.g. scrapers characterised by the drive electrically driven
    • B60S1/0818—Wipers or the like, e.g. scrapers characterised by the drive electrically driven including control systems responsive to external conditions, e.g. by detection of moisture, dirt or the like
    • B60S1/0822—Wipers or the like, e.g. scrapers characterised by the drive electrically driven including control systems responsive to external conditions, e.g. by detection of moisture, dirt or the like characterized by the arrangement or type of detection means
    • B60S1/0833—Optical rain sensor
    • B60S1/0844—Optical rain sensor including a camera
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60S—SERVICING, CLEANING, REPAIRING, SUPPORTING, LIFTING, OR MANOEUVRING OF VEHICLES, NOT OTHERWISE PROVIDED FOR
    • B60S1/00—Cleaning of vehicles
    • B60S1/02—Cleaning windscreens, windows or optical devices
    • B60S1/04—Wipers or the like, e.g. scrapers
    • B60S1/06—Wipers or the like, e.g. scrapers characterised by the drive
    • B60S1/08—Wipers or the like, e.g. scrapers characterised by the drive electrically driven
    • B60S1/0818—Wipers or the like, e.g. scrapers characterised by the drive electrically driven including control systems responsive to external conditions, e.g. by detection of moisture, dirt or the like
    • B60S1/0822—Wipers or the like, e.g. scrapers characterised by the drive electrically driven including control systems responsive to external conditions, e.g. by detection of moisture, dirt or the like characterized by the arrangement or type of detection means
    • B60S1/0859—Other types of detection of rain, e.g. by measuring friction or rain drop impact
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60W—CONJOINT 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
    • B60W30/00—Purposes of road vehicle drive control systems not related to the control of a particular sub-unit, e.g. of systems using conjoint control of vehicle sub-units
    • B60W30/18—Propelling the vehicle
    • B60W30/18172—Preventing, or responsive to skidding of wheels
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60W—CONJOINT 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
    • B60W40/00—Estimation 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
    • B60W40/02—Estimation 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
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60W—CONJOINT 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
    • B60W40/00—Estimation 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
    • B60W40/02—Estimation 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
    • B60W40/06—Road conditions
    • B60W40/068—Road friction coefficient
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01W—METEOROLOGY
    • G01W1/00—Meteorology
    • G01W1/14—Rainfall or precipitation gauges
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
    • G05D1/00—Control of position, course, altitude or attitude of land, water, air or space vehicles, e.g. using automatic pilots
    • G05D1/02—Control of position or course in two dimensions
    • G05D1/021—Control of position or course in two dimensions specially adapted to land vehicles
    • G05D1/0276—Control of position or course in two dimensions specially adapted to land vehicles using signals provided by a source external to the vehicle
    • 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
    • G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/764—Arrangements for image or video recognition or understanding using pattern recognition or machine learning using classification, e.g. of video objects
    • 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
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60W—CONJOINT 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
    • B60W50/00—Details of control systems for road vehicle drive control not related to the control of a particular sub-unit, e.g. process diagnostic or vehicle driver interfaces
    • B60W2050/0062—Adapting control system settings
    • B60W2050/0075—Automatic parameter input, automatic initialising or calibrating means
    • B60W2050/0083—Setting, resetting, calibration
    • B60W2050/0086—Recalibrating datum positions, e.g. by using check cycles
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60W—CONJOINT 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
    • B60W2422/00—Indexing codes relating to the special location or mounting of sensors
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60W—CONJOINT 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
    • B60W2552/00—Input parameters relating to infrastructure
    • B60W2552/40—Coefficient of friction
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60W—CONJOINT 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
    • B60W2756/00—Output or target parameters relating to data
    • B60W2756/10—Involving external transmission of data to or from the vehicle
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B2219/00—Program-control systems
    • G05B2219/20—Pc systems
    • G05B2219/26—Pc applications
    • G05B2219/2603—Steering car
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B2219/00—Program-control systems
    • G05B2219/20—Pc systems
    • G05B2219/26—Pc applications
    • G05B2219/2637—Vehicle, car, auto, wheelchair

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Evolutionary Computation (AREA)
  • Automation & Control Theory (AREA)
  • Computing Systems (AREA)
  • Artificial Intelligence (AREA)
  • Health & Medical Sciences (AREA)
  • General Health & Medical Sciences (AREA)
  • Software Systems (AREA)
  • Mechanical Engineering (AREA)
  • Mathematical Physics (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Multimedia (AREA)
  • Data Mining & Analysis (AREA)
  • Biophysics (AREA)
  • Computational Linguistics (AREA)
  • Biomedical Technology (AREA)
  • Molecular Biology (AREA)
  • General Engineering & Computer Science (AREA)
  • Medical Informatics (AREA)
  • Databases & Information Systems (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Transportation (AREA)
  • Environmental & Geological Engineering (AREA)
  • Hydrology & Water Resources (AREA)
  • Atmospheric Sciences (AREA)
  • Biodiversity & Conservation Biology (AREA)
  • Ecology (AREA)
  • Environmental Sciences (AREA)
  • Aviation & Aerospace Engineering (AREA)
  • Radar, Positioning & Navigation (AREA)
  • Remote Sensing (AREA)
  • Traffic Control Systems (AREA)
  • Image Analysis (AREA)

Abstract

Se describe un vehículo que utilizada datos de diferentes tipos de sensores a bordo para determinar si está cayendo precipitación meteorológica cerca del vehículo. El vehículo puede incluir una cámara a bordo que captura datos de imágenes y un acelerómetro a bordo que captura datos de acelerómetro. Los datos de imágenes pueden caracterizar un área delante o detrás del vehículo. Los datos de acelerómetro pueden caracterizar vibraciones de un parabrisas del vehículo. Una red neuronal artificial puede ejecutarse en un equipo informático que se lleva a bordo del vehículo. La red neuronal artificial se puede entrenar para clasificar la precipitación meteorológica en un entorno del vehículo utilizando los datos de imágenes y datos del acelerómetro como entradas. Las clasificaciones de la red neuronal artificial se pueden utilizar para controlar una o más funciones del vehículo tales como la velocidad del limpiaparabrisas, los ajustes de control de tracción y similares.
MX2017012904A 2016-10-06 2017-10-06 Aparato y metodo de clasificacion de precipitacion con multiples sensores, aparato y metodo. MX2017012904A (es)

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
US15/287,305 US10427645B2 (en) 2016-10-06 2016-10-06 Multi-sensor precipitation-classification apparatus and method

Publications (1)

Publication Number Publication Date
MX2017012904A true MX2017012904A (es) 2018-09-27

Family

ID=61764931

Family Applications (1)

Application Number Title Priority Date Filing Date
MX2017012904A MX2017012904A (es) 2016-10-06 2017-10-06 Aparato y metodo de clasificacion de precipitacion con multiples sensores, aparato y metodo.

Country Status (4)

Country Link
US (1) US10427645B2 (es)
CN (1) CN107918311B (es)
DE (1) DE102017123002A1 (es)
MX (1) MX2017012904A (es)

Families Citing this family (47)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US10521677B2 (en) * 2016-07-14 2019-12-31 Ford Global Technologies, Llc Virtual sensor-data-generation system and method supporting development of vision-based rain-detection algorithms
US11010615B2 (en) 2016-11-14 2021-05-18 Lyft, Inc. Rendering a situational-awareness view in an autonomous-vehicle environment
EP3340103A1 (en) * 2016-12-21 2018-06-27 Axis AB Method for identifying events in a motion video
US10173643B2 (en) * 2017-02-20 2019-01-08 Ford Global Technologies, Llc Object detection for vehicles
DE102017205093A1 (de) * 2017-03-27 2018-09-27 Conti Temic Microelectronic Gmbh Verfahren und System zur Vorhersage von Sensorsignalen eines Fahrzeugs
US10569786B2 (en) * 2017-04-13 2020-02-25 Blackberry Limited Parameters sets for vehicles based on sensor data
US10629081B2 (en) * 2017-11-02 2020-04-21 Ford Global Technologies, Llc Accelerometer-based external sound monitoring for backup assistance in a vehicle
DE102018206619A1 (de) * 2018-04-27 2019-10-31 Bayerische Motoren Werke Aktiengesellschaft Verfahren zur Fahrmanöverassistenz eines Fahrzeuges, Vorrichtung, Computerprogramm und Computerprogrammprodukt
CN109080573B (zh) * 2018-07-23 2020-07-07 吉利汽车研究院（宁波）有限公司 一种基于超声波的车辆自适应盲区监测系统
CN112970029B (zh) * 2018-09-13 2024-06-07 辉达公司 用于自主机器应用中传感器视盲检测的深度神经网络处理
JP7081428B2 (ja) * 2018-09-28 2022-06-07 トヨタ自動車株式会社 降水指標推定装置
JP7063220B2 (ja) * 2018-09-28 2022-05-09 トヨタ自動車株式会社 降水指標推定装置
JP7081426B2 (ja) * 2018-09-28 2022-06-07 トヨタ自動車株式会社 降水指標推定装置
JP7081427B2 (ja) * 2018-09-28 2022-06-07 トヨタ自動車株式会社 降水指標推定装置
JP7074007B2 (ja) * 2018-09-28 2022-05-24 トヨタ自動車株式会社 降水指標推定装置
JP7187944B2 (ja) * 2018-09-28 2022-12-13 トヨタ自動車株式会社 処理装置および処理方法
DE102018217192A1 (de) * 2018-10-09 2020-04-09 Robert Bosch Gmbh Verfahren und System zum Bereitstellen einer Reibwertinformation an ein Fahrzeug
DE102018217191A1 (de) * 2018-10-09 2020-04-09 Robert Bosch Gmbh Verfahren zum Trainieren eines Künstlichen-Intelligenz-Moduls, Betriebsverfahren und Datenverarbeitungseinrichtung
EP3640102B1 (en) 2018-10-17 2024-06-12 BlackBerry Limited Route-based selections of vehicle parameter sets
US20200202167A1 (en) * 2018-12-20 2020-06-25 Here Global B.V. Dynamically loaded neural network models
US20200210788A1 (en) * 2018-12-31 2020-07-02 Robert Bosch Gmbh Determining whether image data is within a predetermined range that image analysis software is configured to analyze
US11447151B2 (en) * 2019-01-09 2022-09-20 Board Of Trustees Of Michigan State University Object detection under rainy conditions for autonomous systems
CN110049216A (zh) * 2019-04-18 2019-07-23 安徽易睿众联科技有限公司 一种可实时识别降水类型的网络摄像机
DE112020002697T5 (de) * 2019-05-30 2022-03-17 Mobileye Vision Technologies Ltd. Modellerstellung einer fahrzeugumgebung mit kameras
US20220242446A1 (en) * 2019-09-02 2022-08-04 Mitsubishi Electric Corporation Automatic driving control device and automatic driving control method
CN114830189B (zh) * 2019-11-20 2025-07-18 辉达公司 利用神经网络识别多尺度特征
WO2021197584A1 (en) * 2020-03-31 2021-10-07 Zenuity Ab Method and system for predicting the presence of environmental conditions in image data
JP7363707B2 (ja) * 2020-08-03 2023-10-18 トヨタ自動車株式会社 情報処理装置、情報処理システム、情報処理プログラム、及び情報処理方法
US12023132B2 (en) 2020-09-21 2024-07-02 Toyota Motor Engineering & Manufacturing North America, Inc. Systems and methods for remote vital sign monitoring in a vehicle
DE102020215859A1 (de) * 2020-12-15 2022-06-15 Conti Temic Microelectronic Gmbh Korrektur von Bildern einer Kamera bei Regen, Lichteinfall und Verschmutzung
DE102021200652A1 (de) 2021-01-26 2022-07-28 Robert Bosch Gesellschaft mit beschränkter Haftung Verfahren zur Klassifikation von Niederschlag mittels eines LiDAR-Systems
US20220371596A1 (en) * 2021-05-20 2022-11-24 Geotab Inc. Methods and systems for estimating local weather conditions of roadways
DE102021207792A1 (de) * 2021-07-21 2023-01-26 Robert Bosch Gesellschaft mit beschränkter Haftung Verfahren zum Regeln eines Reinigungsvorgangs für einen optischen Weg eines Kamerasystems einer mobilen Plattform
CN113673361B (zh) * 2021-07-28 2024-07-05 东风汽车集团股份有限公司 一种雨雾识别方法、清扫系统和计算机可读存储介质
US12115993B2 (en) * 2021-09-12 2024-10-15 Continental Automotive Systems, Inc. Contact and audible sensor system to detect and warn driver of environmental conditions
KR102750951B1 (ko) * 2021-12-02 2025-01-07 중앙대학교 산학협력단 이동수단에 구비된 이동식 진동센서를 활용한 강우량 정보 제공방법
EP4198573A1 (en) * 2021-12-14 2023-06-21 Tusimple, Inc. System and method for detecting rainfall for an autonomous vehicle
DE102022200154A1 (de) * 2022-01-10 2023-07-13 Robert Bosch Gesellschaft mit beschränkter Haftung Verfahren zum Erfassen von Informationen zu einer Windschutzscheibe
FR3136723B1 (fr) * 2022-06-21 2025-02-14 Psa Automobiles Sa Procédé et dispositif de détection de pluie
CN115236768B (zh) * 2022-07-27 2023-07-21 信迈(山东)信息产业有限公司 移动式农业智能小型气象站
US12049199B2 (en) * 2022-08-20 2024-07-30 GM Global Technology Operations LLC Automatic rain response system
DE102022127608A1 (de) * 2022-10-19 2024-04-25 Bayerische Motoren Werke Aktiengesellschaft Verfahren zur Überwachung eines Kraftfahrzeugs
US20240199049A1 (en) * 2022-12-19 2024-06-20 Lytx, Inc. Inclement weather detection
DE102023206727A1 (de) 2023-07-14 2025-01-16 Robert Bosch Gesellschaft mit beschränkter Haftung Sensorsystem umfassend wenigstens einen MEMS-Beschleunigungssensor und Verfahren zum Betrieb eines Sensorsystem umfassend wenigstens einen MEMS-Beschleunigungssensor
US20250182491A1 (en) * 2023-12-01 2025-06-05 Lytx, Inc. Road condition tagging
DE102024104253B3 (de) * 2024-02-15 2025-07-17 Dr. Ing. H.C. F. Porsche Aktiengesellschaft Computerimplementiertes Verfahren zum Ermitteln mindestens eines Reibwertprofils und Fahrzeug
CN119176104A (zh) * 2024-11-01 2024-12-24 岚图汽车科技有限公司 雨刮器控制方法、装置、设备及存储介质

Family Cites Families (60)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US3446069A (en) * 1967-07-31 1969-05-27 Us Navy Rain gauge for airborne vehicle
US4527105A (en) * 1982-09-02 1985-07-02 Nissan Motor Company, Limited Automatic windshield wiper speed control with piezoelectric sensor
JPS59137857A (ja) 1983-01-28 1984-08-08 Jidosha Denki Kogyo Co Ltd 自動ワイパ装置の雨滴検出器
JPH0647366B2 (ja) * 1986-04-09 1994-06-22 日産自動車株式会社 水滴除去装置
DE8914426U1 (de) 1989-03-29 1990-03-08 Kabelwerke Reinshagen Gmbh, 5600 Wuppertal Vorrichtung zur Steuerung eines Scheibenwischers in Abhängigkeit von der Regenintensität
DE4033332C2 (de) 1989-10-23 1994-09-01 Jidosha Denki Kogyo Kk Scheibenwischervorrichtung
DE4000736A1 (de) * 1990-01-12 1991-07-18 Vdo Schindling Verfahren und anordnung zur steuerung eines scheibenwischers
US7760080B2 (en) * 2000-09-08 2010-07-20 Automotive Technologies International, Inc. Tire monitoring with passive and active modes
EP1607765B1 (en) * 1996-12-26 2015-04-01 Nippon Telegraph And Telephone Corporation Meteorological radar precipitation pattern precdiction apparatus
US5923027A (en) * 1997-09-16 1999-07-13 Gentex Corporation Moisture sensor and windshield fog detector using an image sensor
US6392218B1 (en) * 2000-04-07 2002-05-21 Iteris, Inc. Vehicle rain sensor
JP4818609B2 (ja) * 2002-08-21 2011-11-16 ジェンテックス コーポレイション 外部車両照明の自動制御のための画像取得及び処理方法
EP1628862A1 (de) * 2003-03-21 2006-03-01 DaimlerChrysler AG Verfahren und vorrichtung zur ermittlung einer den zwischen fahrbahn und fahrzeugreifen vorliegenden reibwert repräsentierenden reibwertgrösse
US6892580B2 (en) * 2003-07-21 2005-05-17 Agc America, Inc. Method for determining a rate of rain
US6936985B2 (en) * 2003-07-21 2005-08-30 Agc America, Inc. Sensing device for determining a rain rate
JP4389700B2 (ja) * 2004-07-07 2009-12-24 株式会社デンソー ワイパ制御装置
US7253898B2 (en) * 2005-03-31 2007-08-07 Hitachi, Ltd. System for detecting droplets on a translucent surface
JP4353127B2 (ja) 2005-04-11 2009-10-28 株式会社デンソー レインセンサ
FR2901218B1 (fr) * 2006-05-22 2009-02-13 Valeo Vision Sa Procede de detection de pluie sur un parebrise
EP2048476B1 (de) * 2007-10-08 2013-12-11 Delphi Technologies, Inc. Fahrerunterstützungsverfahren
US8471513B2 (en) * 2008-04-21 2013-06-25 Sea Yeoun Han Rain sensor
DE102008001679A1 (de) * 2008-05-09 2009-11-12 Robert Bosch Gmbh Verfahren und Vorrichtung zur Verarbeitung von aufgenommenen Bildinformationen aus einem Fahrzeug
JP2009300166A (ja) * 2008-06-11 2009-12-24 Asmo Co Ltd 雨滴検出装置及び雨滴検出方法並びに車両用ワイパ装置
WO2010084521A1 (ja) 2009-01-20 2010-07-29 本田技研工業株式会社 ウインドシールド上の雨滴を同定するための方法及び装置
US8466960B2 (en) * 2009-02-16 2013-06-18 Ricoh Company, Ltd. Liquid droplet recognition apparatus, raindrop recognition apparatus, and on-vehicle monitoring apparatus
US8170725B2 (en) * 2009-02-18 2012-05-01 GM Global Technology Operations LLC Vehicle stability enhancement control adaptation to driving skill based on highway on/off ramp maneuver
KR20110060495A (ko) * 2009-11-30 2011-06-08 동양기전 주식회사 광 산란을 이용한 레인 센서
FR2956236B1 (fr) * 2010-02-09 2012-11-30 France Etat Ponts Chaussees Procede et dispositif de detection de gouttes dans une image numerique; programme d'ordinateur pour la mise en oeuvre de ce procede.
JP6014303B2 (ja) * 2010-10-04 2016-10-25 セイコーエプソン株式会社 気象変動予測情報提供システム及び気象変動予測情報提供方法
KR101903981B1 (ko) * 2010-11-30 2018-10-05 콘티 테믹 마이크로일렉트로닉 게엠베하 카메라와 라이트를 사용하여 창에 떨어지는 빗방울 감지
KR20120064474A (ko) 2010-12-09 2012-06-19 엘지이노텍 주식회사 카메라 모듈을 이용한 우적 감지 장치 및 방법
DE102010063017A1 (de) * 2010-12-14 2012-06-14 Robert Bosch Gmbh Verfahren in einem Fahrerassistenzsystem zur Erkennung von Nässe auf einer Fahrbahn
US20140347487A1 (en) * 2011-09-07 2014-11-27 Valeo Schalter Und Sensoren Gmbh Method and camera assembly for detecting raindrops on a windscreen of a vehicle
WO2013034167A1 (en) * 2011-09-07 2013-03-14 Valeo Schalter Und Sensoren Gmbh Method and camera assembly for detecting raindrops on a windscreen of a vehicle
JP5561333B2 (ja) * 2011-11-02 2014-07-30 株式会社リコー 画像処理装置、撮像方法、プログラムおよび車両
DE102011120867B4 (de) 2011-12-12 2024-07-04 HELLA GmbH & Co. KGaA Verfahren und Vorrichtung zur Regenerfassung auf einer Windschutzscheibe
DE102012103873A1 (de) * 2012-05-03 2013-11-21 Conti Temic Microelectronic Gmbh Detektion von Regentropfen auf einer Scheibe mittels einer Kamera und Beleuchtung
JP2014016302A (ja) * 2012-07-11 2014-01-30 Denso Corp 降雨判定装置、風量算出装置、および付着物判定装置
KR102081747B1 (ko) * 2012-08-06 2020-02-26 콘티 테믹 마이크로일렉트로닉 게엠베하 카메라 및 조명에 의한 유리창의 우적 감지
DE102012215287A1 (de) 2012-08-29 2014-05-28 Bayerische Motoren Werke Aktiengesellschaft Verfahren zum Betreiben eines Fahrzeugs
WO2014047250A1 (en) * 2012-09-20 2014-03-27 Google Inc. Detecting road weather conditions
US9110196B2 (en) * 2012-09-20 2015-08-18 Google, Inc. Detecting road weather conditions
US9045112B2 (en) * 2013-03-15 2015-06-02 Honda Motor Co., Ltd. Adjustable rain sensor setting based on proximity vehicle detection
US9002584B2 (en) * 2013-03-19 2015-04-07 Ford Global Technologies, Llc Rain onset detection glazing auto-close
CN103318108B (zh) * 2013-06-05 2016-06-15 浙江吉利汽车研究院有限公司杭州分公司 汽车的智能控制系统
JP6155510B2 (ja) * 2013-06-11 2017-07-05 株式会社島津ビジネスシステムズ 気象情報提供装置及び気象情報提供用プログラム
CN103576548B (zh) * 2013-07-26 2016-08-03 中国计量学院 基于神经网络的智能雨刷器
DE102013113431A1 (de) * 2013-12-04 2015-06-11 Dr. Ing. H.C. F. Porsche Aktiengesellschaft Bestimmen einer Aquaplaning-Gefahr
US20150203107A1 (en) * 2014-01-17 2015-07-23 Ford Global Technologies, Llc Autonomous vehicle precipitation detection
CN103926636B (zh) * 2014-03-31 2016-09-28 卢会国 基于压电加速度传感器的雨量数据处理系统
DE102014207994A1 (de) 2014-04-29 2015-10-29 Conti Temic Microelectronic Gmbh Vorrichtung zum Erkennen von Niederschlag für ein Kraftfahrzeug
DE102014209197B4 (de) * 2014-05-15 2024-09-19 Continental Autonomous Mobility Germany GmbH Vorrichtung und Verfahren zum Erkennen von Niederschlag für ein Kraftfahrzeug
IL233114A (en) * 2014-06-12 2016-09-29 Brightway Vision Ltd A method and system for pattern recognition, classification and tracking
CN104571079A (zh) * 2014-11-25 2015-04-29 东华大学 一种基于多传感器信息融合的无线远程故障诊断系统
CN105196910B (zh) * 2015-09-15 2018-06-26 浙江吉利汽车研究院有限公司 一种雨雾天气下的安全驾驶辅助系统及其控制方法
EP3156298B1 (en) * 2015-10-13 2022-08-10 Volvo Car Corporation Driving aid arrangement, a vehicle and a method of controlling a longitudinal velocity of a vehicle
CN105292064A (zh) * 2015-10-30 2016-02-03 丹阳市天诚塑胶轮制造有限公司 一种可实现自动调速的汽车雨刮器
US9994175B2 (en) * 2016-03-04 2018-06-12 Honda Motor Co., Ltd. System for preconditioning a vehicle and method thereof
US20180017799A1 (en) * 2016-07-13 2018-01-18 Ford Global Technologies, Llc Heads Up Display For Observing Vehicle Perception Activity
US10279865B2 (en) * 2016-08-08 2019-05-07 Shareroller Llc. Friction drive with speed wheel and automatic traction control

Also Published As

Publication number Publication date
US10427645B2 (en) 2019-10-01
DE102017123002A1 (de) 2018-04-19
US20180099646A1 (en) 2018-04-12
CN107918311B (zh) 2022-10-04
CN107918311A (zh) 2018-04-17

Similar Documents

Publication Publication Date Title
MX2017012904A (es) Aparato y metodo de clasificacion de precipitacion con multiples sensores, aparato y metodo.
MX2018000927A (es) Sistemas y metodos de deteccion del viento.
MX2021002238A (es) Sistemas y metodos para clasificar el comportamiento de conductores.
MX2017004705A (es) Deteccion de lluvia basada en vision con aprendizaje profundo.
EP2937757A3 (en) Methods and systems for object detection using multiple sensors
EP3624002A3 (en) Training data generating method for image processing, image processing method, and devices thereof
EP4242924A3 (en) Low-power ambient computing system with machine learning
EP3514780A4 (en) PICTURE DEVICE, SIGNAL PROCESSING DEVICE AND VEHICLE CONTROL SYSTEM
EP3744584A4 (en) VEHICLE MONITORING DEVICE, FRAUD DETECTION SERVER AND CONTROL PROCEDURES
CN105608822B (zh) 铁路周界入侵振动光纤报警方法及装置
EP3456597A3 (en) Methods and systems for detecting weather conditions using vehicle onboard sensors
WO2014140906A3 (en) Systems and methods for providing feedback based on the state of an object
EP3376432A3 (en) Method and device to generate virtual lane
EP3079346A3 (en) Apparatus and method for setting camera
EP4002385A3 (en) Motor task analysis system and method
EP2937815A3 (en) Methods and systems for object detection using laser point clouds
EP2905665A3 (en) Information processing apparatus, diagnosis method, and program
EP2779675A3 (en) Computer-implemented method and system of providing haptic feedback
EP3366539A3 (en) Information processing apparatus and information processing method
WO2015134794A3 (en) Method and system for 3d capture based on structure from motion with simplified pose detection
EP3086304A3 (en) Automated transmission of aircraft anomalous incident data via preferred transmission modes
WO2015153532A3 (en) System and method for output display generation based on ambient conditions
EP2846290A3 (en) Vehicle classification from laser scanners using fisher and profile signatures
EP3786923A3 (en) Object detection apparatus, and storage medium
WO2022098511A3 (en) Architecture for map change detection in autonomous vehicles