MX2017009394A - Deteccion de conexion por camara trasera. - Google Patents
Deteccion de conexion por camara trasera.Info
- Publication number
- MX2017009394A MX2017009394A MX2017009394A MX2017009394A MX2017009394A MX 2017009394 A MX2017009394 A MX 2017009394A MX 2017009394 A MX2017009394 A MX 2017009394A MX 2017009394 A MX2017009394 A MX 2017009394A MX 2017009394 A MX2017009394 A MX 2017009394A
- Authority
- MX
- Mexico
- Prior art keywords
- roadway
- intersecting
- perception data
- rear camera
- vehicle
- Prior art date
Links
Classifications
-
- 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
- G01—MEASURING; TESTING
- G01S—RADIO 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
- G01S13/00—Systems using the reflection or reradiation of radio waves, e.g. radar systems; Analogous systems using reflection or reradiation of waves whose nature or wavelength is irrelevant or unspecified
- G01S13/86—Combinations of radar systems with non-radar systems, e.g. sonar, direction finder
- G01S13/867—Combination of radar systems with cameras
-
- 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
- B60W30/08—Active safety systems predicting or avoiding probable or impending collision or attempting to minimise its consequences
- B60W30/095—Predicting travel path or likelihood of collision
- B60W30/0956—Predicting travel path or likelihood of collision the prediction being responsive to traffic or environmental parameters
-
- 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
- B60W30/10—Path keeping
- B60W30/12—Lane keeping
-
- 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
- B60W40/072—Curvature of the road
-
- 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
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO 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
- G01S15/00—Systems using the reflection or reradiation of acoustic waves, e.g. sonar systems
- G01S15/86—Combinations of sonar systems with lidar systems; Combinations of sonar systems with systems not using wave reflection
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO 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
- G01S15/00—Systems using the reflection or reradiation of acoustic waves, e.g. sonar systems
- G01S15/88—Sonar systems specially adapted for specific applications
- G01S15/89—Sonar systems specially adapted for specific applications for mapping or imaging
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO 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
- G01S17/00—Systems using the reflection or reradiation of electromagnetic waves other than radio waves, e.g. lidar systems
- G01S17/86—Combinations of lidar systems with systems other than lidar, radar or sonar, e.g. with direction finders
-
- 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
- G05D1/0231—Control of position or course in two dimensions specially adapted to land vehicles using optical position detecting means
- G05D1/0246—Control of position or course in two dimensions specially adapted to land vehicles using optical position detecting means using a video camera in combination with image processing means
-
- 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
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/40—Extraction of image or video features
- G06V10/44—Local feature extraction by analysis of parts of the pattern, e.g. by detecting edges, contours, loops, corners, strokes or intersections; Connectivity analysis, e.g. of connected components
- G06V10/443—Local feature extraction by analysis of parts of the pattern, e.g. by detecting edges, contours, loops, corners, strokes or intersections; Connectivity analysis, e.g. of connected components by matching or filtering
- G06V10/449—Biologically inspired filters, e.g. difference of Gaussians [DoG] or Gabor filters
- G06V10/451—Biologically inspired filters, e.g. difference of Gaussians [DoG] or Gabor filters with interaction between the filter responses, e.g. cortical complex cells
- G06V10/454—Integrating the filters into a hierarchical structure, e.g. convolutional neural networks [CNN]
-
- 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
- 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
- G06V20/588—Recognition of the road, e.g. of lane markings; Recognition of the vehicle driving pattern in relation to the road
-
- 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
- G06V20/64—Three-dimensional objects
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/09—Arrangements for giving variable traffic instructions
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/09—Arrangements for giving variable traffic instructions
- G08G1/0962—Arrangements for giving variable traffic instructions having an indicator mounted inside the vehicle, e.g. giving voice messages
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/16—Anti-collision systems
- G08G1/165—Anti-collision systems for passive traffic, e.g. including static obstacles, trees
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/16—Anti-collision systems
- G08G1/167—Driving aids for lane monitoring, lane changing, e.g. blind spot detection
-
- 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
- B60W2050/0001—Details of the control system
- B60W2050/0002—Automatic control, details of type of controller or control system architecture
- B60W2050/0014—Adaptive controllers
-
- 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
- B60W2420/00—Indexing codes relating to the type of sensors based on the principle of their operation
- B60W2420/40—Photo, light or radio wave sensitive means, e.g. infrared 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
- B60W2420/00—Indexing codes relating to the type of sensors based on the principle of their operation
- B60W2420/40—Photo, light or radio wave sensitive means, e.g. infrared sensors
- B60W2420/403—Image sensing, e.g. optical camera
-
- 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
- B60W2420/00—Indexing codes relating to the type of sensors based on the principle of their operation
- B60W2420/40—Photo, light or radio wave sensitive means, e.g. infrared sensors
- B60W2420/408—Radar; Laser, e.g. lidar
-
- 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
- B60W2420/00—Indexing codes relating to the type of sensors based on the principle of their operation
- B60W2420/54—Audio sensitive means, e.g. ultrasound
-
- 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
- B60W2552/20—Road profile, i.e. the change in elevation or curvature of a plurality of continuous road segments
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Remote Sensing (AREA)
- Radar, Positioning & Navigation (AREA)
- Theoretical Computer Science (AREA)
- Multimedia (AREA)
- Computer Networks & Wireless Communication (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Artificial Intelligence (AREA)
- Evolutionary Computation (AREA)
- Automation & Control Theory (AREA)
- Mechanical Engineering (AREA)
- Transportation (AREA)
- Life Sciences & Earth Sciences (AREA)
- Data Mining & Analysis (AREA)
- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Electromagnetism (AREA)
- General Engineering & Computer Science (AREA)
- Biodiversity & Conservation Biology (AREA)
- Computing Systems (AREA)
- Bioinformatics & Cheminformatics (AREA)
- Bioinformatics & Computational Biology (AREA)
- Evolutionary Biology (AREA)
- Software Systems (AREA)
- Databases & Information Systems (AREA)
- Molecular Biology (AREA)
- Medical Informatics (AREA)
- Biomedical Technology (AREA)
- Acoustics & Sound (AREA)
- Human Computer Interaction (AREA)
- Mathematical Physics (AREA)
- Aviation & Aerospace Engineering (AREA)
- Traffic Control Systems (AREA)
Abstract
Un método para detectar conexiones o calzadas de intersección incluye recibir datos de percepción de al menos dos sensores. Al menos dos sensores incluyen una cámara orientada hacia atrás de un vehículo y otro sensor. Los datos de percepción incluyen información para una calzada actual en la que está ubicado el vehículo. El método incluye detectar, en función de los datos de percepción, una calzada de intersección que conecta con la calzada actual. El método también incluye almacenar una indicación de una ubicación y una dirección de la calzada de intersección respecto de la calzada actual.
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| US15/215,368 US10369994B2 (en) | 2016-07-20 | 2016-07-20 | Rear camera stub detection |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| MX2017009394A true MX2017009394A (es) | 2018-09-10 |
Family
ID=59713494
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| MX2017009394A MX2017009394A (es) | 2016-07-20 | 2017-07-18 | Deteccion de conexion por camara trasera. |
Country Status (6)
| Country | Link |
|---|---|
| US (1) | US10369994B2 (es) |
| CN (1) | CN107643073B (es) |
| DE (1) | DE102017116212A1 (es) |
| GB (1) | GB2555161A (es) |
| MX (1) | MX2017009394A (es) |
| RU (1) | RU2017125454A (es) |
Families Citing this family (28)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US11043124B2 (en) | 2018-01-31 | 2021-06-22 | Peter Yeung | Roadway information detection system consists of sensors on the autonomous vehicles and devices for the road |
| CA3130361A1 (en) | 2016-10-18 | 2018-03-01 | Peter Yeung | Roadway information detection sensor device/system for autonomous vehicles |
| US12099361B2 (en) * | 2017-03-28 | 2024-09-24 | Pioneer Corporation | Output device, control method, program and storage medium for control of a moving body based on road marking detection accuracy |
| US10583779B2 (en) | 2017-10-02 | 2020-03-10 | Magna Electronics Inc. | Parking assist system using backup camera |
| US11091162B2 (en) * | 2018-01-30 | 2021-08-17 | Toyota Motor Engineering & Manufacturing North America, Inc. | Fusion of front vehicle sensor data for detection and ranging of preceding objects |
| DE102018202970A1 (de) * | 2018-02-28 | 2019-08-29 | Robert Bosch Gmbh | Verfahren zum Ermitteln einer topologischen Information einer Straßenkreuzung |
| CN109080633B (zh) * | 2018-07-27 | 2020-10-16 | 吉利汽车研究院(宁波)有限公司 | 一种路口场景下的巡航车速控制装置及方法 |
| DE102018122992B4 (de) * | 2018-09-19 | 2021-10-14 | Volkswagen Aktiengesellschaft | Verfahren zum Bereitstellen von Positionsdaten von wenigstens einer Einfahrt zu einem Navigationsziel, Servereinrichtung zum Durchführen eines derartigen Verfahrens sowie Kraftfahrzeug |
| DE102018218043A1 (de) | 2018-10-22 | 2020-04-23 | Robert Bosch Gmbh | Ermittlung einer Anzahl von Fahrspuren sowie von Spurmarkierungen auf Straßenabschnitten |
| JP7136663B2 (ja) * | 2018-11-07 | 2022-09-13 | 日立Astemo株式会社 | 車載制御装置 |
| GB2579192B (en) * | 2018-11-22 | 2021-06-23 | Jaguar Land Rover Ltd | Steering assist method and apparatus |
| JP7183729B2 (ja) * | 2018-11-26 | 2022-12-06 | トヨタ自動車株式会社 | 撮影異常診断装置 |
| US11853812B2 (en) * | 2018-12-20 | 2023-12-26 | Here Global B.V. | Single component data processing system and method utilizing a trained neural network |
| EP3680689A1 (en) * | 2019-01-11 | 2020-07-15 | ADB Safegate Sweden AB | Airport stand arrangement |
| CN111538322B (zh) * | 2019-01-18 | 2023-09-15 | 驭势科技(北京)有限公司 | 自动驾驶车辆的传感器数据选择方法、装置及车载设备 |
| WO2020264029A1 (en) * | 2019-06-25 | 2020-12-30 | Nvidia Corporation | Intersection region detection and classification for autonomous machine applications |
| US11814816B2 (en) | 2019-09-11 | 2023-11-14 | Deere & Company | Mobile work machine with object detection and machine path visualization |
| US11755028B2 (en) | 2019-09-11 | 2023-09-12 | Deere & Company | Mobile work machine with object detection using vision recognition |
| CN110595499A (zh) * | 2019-09-26 | 2019-12-20 | 北京四维图新科技股份有限公司 | 变道提醒方法、装置和系统 |
| US11281915B2 (en) * | 2019-12-06 | 2022-03-22 | Black Sesame Technologies Inc. | Partial frame perception |
| SG11202013252SA (en) * | 2020-02-07 | 2021-09-29 | Shenzhen Sensetime Technology Co Ltd | Road marking recognition method, map generation method, and related products |
| US11472416B2 (en) * | 2020-04-30 | 2022-10-18 | Deere & Company | Multi-dimensional mobile machine path visualization and control system |
| US11608067B2 (en) * | 2020-08-12 | 2023-03-21 | Honda Motor Co., Ltd. | Probabilistic-based lane-change decision making and motion planning system and method thereof |
| CN112180353A (zh) * | 2020-09-17 | 2021-01-05 | 北京中兵智航软件技术有限公司 | 目标对象的确认方法及系统、存储介质 |
| US11721113B2 (en) | 2020-10-09 | 2023-08-08 | Magna Electronics Inc. | Vehicular driving assist system with lane detection using rear camera |
| JP7629361B2 (ja) * | 2021-06-28 | 2025-02-13 | 日立Astemo株式会社 | 車載情報処理装置、地図データ管理センタ装置および地図データ管理システム |
| US11851073B2 (en) * | 2021-12-21 | 2023-12-26 | GM Global Technology Operations LLC | Fault isolation and mitigation upon lane marking misdetection on roadways |
| KR20240178529A (ko) * | 2023-06-22 | 2024-12-31 | 현대자동차주식회사 | 정적 객체와 지면 높이 차이를 기반으로 하는 객체 거리 추정 방법 및 장치 |
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| JPS5960214A (ja) | 1982-09-29 | 1984-04-06 | Nippon Denso Co Ltd | 車両用道路案内装置 |
| JPH01284708A (ja) | 1988-05-11 | 1989-11-16 | Hitachi Ltd | 自動車用復路誘導装置 |
| US9177476B2 (en) * | 1997-10-22 | 2015-11-03 | American Vehicular Sciences Llc | Method and system for guiding a person to a location |
| US7706978B2 (en) | 2005-09-02 | 2010-04-27 | Delphi Technologies, Inc. | Method for estimating unknown parameters for a vehicle object detection system |
| DE112007003787B4 (de) | 2006-09-21 | 2016-07-14 | Mitsubishi Electric Corp. | Karteninformations-Verarbeitungsvorrichtung |
| JP4752836B2 (ja) | 2007-12-25 | 2011-08-17 | 日本電気株式会社 | 道路環境情報通知装置及び道路環境情報通知プログラム |
| JP5066123B2 (ja) | 2009-03-24 | 2012-11-07 | 日立オートモティブシステムズ株式会社 | 車両運転支援装置 |
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| KR101406457B1 (ko) * | 2009-11-27 | 2014-06-27 | 도요타지도샤가부시키가이샤 | 운전 지원 장치 및 운전 지원 방법 |
| JP2011145159A (ja) | 2010-01-14 | 2011-07-28 | Denso Corp | 道路学習装置 |
| US9140792B2 (en) * | 2011-06-01 | 2015-09-22 | GM Global Technology Operations LLC | System and method for sensor based environmental model construction |
| JP5353988B2 (ja) | 2011-10-26 | 2013-11-27 | 株式会社デンソー | ナビゲーション装置 |
| JP5601316B2 (ja) | 2011-12-28 | 2014-10-08 | 株式会社デンソー | ナビゲーション装置 |
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| KR101509995B1 (ko) * | 2013-12-03 | 2015-04-07 | 현대자동차주식회사 | Jc 진출입 판단 장치 및 그 방법 |
| CN104537834A (zh) * | 2014-12-21 | 2015-04-22 | 北京工业大学 | 一种智能车在城市道路行驶中的路口识别与路口轨迹规划的方法 |
| US9747506B2 (en) * | 2015-10-21 | 2017-08-29 | Ford Global Technologies, Llc | Perception-based speed limit estimation and learning |
| CN105667518B (zh) * | 2016-02-25 | 2018-07-24 | 福州华鹰重工机械有限公司 | 车道检测的方法及装置 |
-
2016
- 2016-07-20 US US15/215,368 patent/US10369994B2/en active Active
-
2017
- 2017-07-13 CN CN201710569423.9A patent/CN107643073B/zh active Active
- 2017-07-17 GB GB1711461.2A patent/GB2555161A/en not_active Withdrawn
- 2017-07-17 RU RU2017125454A patent/RU2017125454A/ru not_active Application Discontinuation
- 2017-07-18 DE DE102017116212.7A patent/DE102017116212A1/de not_active Withdrawn
- 2017-07-18 MX MX2017009394A patent/MX2017009394A/es unknown
Also Published As
| Publication number | Publication date |
|---|---|
| CN107643073B (zh) | 2022-02-11 |
| RU2017125454A (ru) | 2019-01-17 |
| US10369994B2 (en) | 2019-08-06 |
| US20180022347A1 (en) | 2018-01-25 |
| GB2555161A (en) | 2018-04-25 |
| RU2017125454A3 (es) | 2020-11-25 |
| DE102017116212A1 (de) | 2018-03-01 |
| CN107643073A (zh) | 2018-01-30 |
| GB201711461D0 (en) | 2017-08-30 |
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