MX2018000156A - Seguimiento de objetos mediante aprendizaje no supervisado. - Google Patents
Seguimiento de objetos mediante aprendizaje no supervisado.Info
- Publication number
- MX2018000156A MX2018000156A MX2018000156A MX2018000156A MX2018000156A MX 2018000156 A MX2018000156 A MX 2018000156A MX 2018000156 A MX2018000156 A MX 2018000156A MX 2018000156 A MX2018000156 A MX 2018000156A MX 2018000156 A MX2018000156 A MX 2018000156A
- Authority
- MX
- Mexico
- Prior art keywords
- objects
- object tracking
- unsupervised learning
- vehicle
- determined
- Prior art date
Links
- 230000001143 conditioned effect Effects 0.000 abstract 1
Classifications
-
- 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
- B60W30/09—Taking automatic action to avoid collision, e.g. braking and steering
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR 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
-
- 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
- G01S17/02—Systems using the reflection of electromagnetic waves other than radio waves
- G01S17/06—Systems determining position data of a target
- G01S17/42—Simultaneous measurement of distance and other co-ordinates
-
- 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
- G01S17/66—Tracking systems using electromagnetic waves other than radio waves
-
- 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
- G01S17/88—Lidar systems specially adapted for specific applications
- G01S17/93—Lidar systems specially adapted for specific applications for anti-collision purposes
- G01S17/931—Lidar systems specially adapted for specific applications for anti-collision purposes of land vehicles
-
- 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
- G01S7/00—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00
- G01S7/48—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00 of systems according to group G01S17/00
- G01S7/4808—Evaluating distance, position or velocity data
-
- 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
-
- 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
- G05D1/0238—Control of position or course in two dimensions specially adapted to land vehicles using optical position detecting means using obstacle or wall sensors
- G05D1/024—Control of position or course in two dimensions specially adapted to land vehicles using optical position detecting means using obstacle or wall sensors in combination with a laser
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR 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
-
- 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
- B60W2050/0004—In digital systems, e.g. discrete-time systems involving sampling
- B60W2050/0005—Processor details or data handling, e.g. memory registers or chip architecture
-
- 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
- B60W2050/0019—Control system elements or transfer functions
- B60W2050/0028—Mathematical models, e.g. for simulation
- B60W2050/0031—Mathematical model of 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
- 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
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Electromagnetism (AREA)
- Remote Sensing (AREA)
- Radar, Positioning & Navigation (AREA)
- Computer Networks & Wireless Communication (AREA)
- Automation & Control Theory (AREA)
- Aviation & Aerospace Engineering (AREA)
- Optics & Photonics (AREA)
- Transportation (AREA)
- Mechanical Engineering (AREA)
- Multimedia (AREA)
- Theoretical Computer Science (AREA)
- Human Computer Interaction (AREA)
- Traffic Control Systems (AREA)
- Image Processing (AREA)
- Business, Economics & Management (AREA)
- Health & Medical Sciences (AREA)
- Artificial Intelligence (AREA)
- Evolutionary Computation (AREA)
- Game Theory and Decision Science (AREA)
- Medical Informatics (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Optical Radar Systems And Details Thereof (AREA)
- Image Analysis (AREA)
Abstract
Un dispositivo informático en un vehículo puede determinar uno o más objetos con base en puntos de datos 3D, mediante la determinación de una probabilidad bayesiana conjunta de que cada uno de los uno o más objetos, condicionados en objetos previamente determinados, y la conducción del vehículo con base en el uno o más objetos determinados, en cuyo caso, los objetos tienen parámetros que incluyen ubicación, tamaño, posiciones, velocidades, direcciones y recorridos previstos.
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
US15/408,862 US10449956B2 (en) | 2017-01-18 | 2017-01-18 | Object tracking by unsupervised learning |
Publications (1)
Publication Number | Publication Date |
---|---|
MX2018000156A true MX2018000156A (es) | 2018-11-09 |
Family
ID=61256310
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
MX2018000156A MX2018000156A (es) | 2017-01-18 | 2018-01-08 | Seguimiento de objetos mediante aprendizaje no supervisado. |
Country Status (6)
Country | Link |
---|---|
US (1) | US10449956B2 (es) |
CN (1) | CN108327723B (es) |
DE (1) | DE102018100487A1 (es) |
GB (1) | GB2560618A (es) |
MX (1) | MX2018000156A (es) |
RU (1) | RU2017144791A (es) |
Families Citing this family (10)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US10977574B2 (en) * | 2017-02-14 | 2021-04-13 | Cisco Technology, Inc. | Prediction of network device control plane instabilities |
US10108867B1 (en) * | 2017-04-25 | 2018-10-23 | Uber Technologies, Inc. | Image-based pedestrian detection |
US10210617B2 (en) * | 2017-05-26 | 2019-02-19 | Dura Operating, Llc | Method and system for generating a perception scene graph having a focus region for a motor vehicle |
US20180339730A1 (en) * | 2017-05-26 | 2018-11-29 | Dura Operating, Llc | Method and system for generating a wide-area perception scene graph |
IL270540A (en) | 2018-12-26 | 2020-06-30 | Yandex Taxi Llc | Method and system for training a machine learning algorithm to recognize objects from a distance |
US10891744B1 (en) * | 2019-03-13 | 2021-01-12 | Argo AI, LLC | Determining the kinetic state of a body using LiDAR point cloud registration with importance sampling |
CN112339660A (zh) * | 2019-08-07 | 2021-02-09 | 保定市天河电子技术有限公司 | 一种航空加油车安全防护系统 |
US11912271B2 (en) * | 2019-11-07 | 2024-02-27 | Motional Ad Llc | Trajectory prediction from precomputed or dynamically generated bank of trajectories |
US11556127B2 (en) * | 2020-04-03 | 2023-01-17 | Baidu Usa Llc | Static obstacle map based perception system |
US20220207209A1 (en) * | 2020-12-30 | 2022-06-30 | Beijing Voyager Technology Co., Ltd. | Deterministic sampling of autonomous vehicle simulation variables at runtime |
Family Cites Families (25)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US8427472B2 (en) | 2005-02-08 | 2013-04-23 | Seegrid Corporation | Multidimensional evidence grids and system and methods for applying same |
US20080065328A1 (en) | 2006-09-08 | 2008-03-13 | Andreas Eidehall | Method and system for collision avoidance |
PE20080048A1 (es) | 2006-12-20 | 2008-02-25 | Scanalyse Pty Ltd | Sistema para la medicion del desplazamiento de una superficie relativa a una base de referencia |
US8217938B2 (en) | 2007-05-31 | 2012-07-10 | Ford Global Technologies, Llc | Method and apparatus for determining item orientation |
US20090312985A1 (en) | 2008-06-12 | 2009-12-17 | Eliazar Austin I D | Multiple hypothesis tracking |
US8270732B2 (en) | 2009-08-31 | 2012-09-18 | Behavioral Recognition Systems, Inc. | Clustering nodes in a self-organizing map using an adaptive resonance theory network |
US9317965B2 (en) | 2009-11-16 | 2016-04-19 | Autodesk, Inc. | Uniform point cloud decimation |
EP2345998B1 (en) | 2009-12-01 | 2019-11-20 | Honda Research Institute Europe GmbH | Multi-object tracking with a knowledge-based, autonomous adaptation of the tracking modeling level |
US8655513B2 (en) | 2010-03-12 | 2014-02-18 | The United States Of America As Represented By The Administrator Of The National Aeronautics And Space Administration | Methods of real time image enhancement of flash LIDAR data and navigating a vehicle using flash LIDAR data |
GB201004232D0 (en) | 2010-03-15 | 2010-04-28 | Bae Systems Plc | Target tracking |
US8818702B2 (en) * | 2010-11-09 | 2014-08-26 | GM Global Technology Operations LLC | System and method for tracking objects |
US9031761B2 (en) * | 2010-12-15 | 2015-05-12 | Honda Motor Co., Ltd. | Driving assist apparatus for a vehicle |
US8953888B2 (en) * | 2011-02-10 | 2015-02-10 | Microsoft Corporation | Detecting and localizing multiple objects in images using probabilistic inference |
US9140792B2 (en) * | 2011-06-01 | 2015-09-22 | GM Global Technology Operations LLC | System and method for sensor based environmental model construction |
KR101740259B1 (ko) | 2011-10-07 | 2017-05-29 | 한국전자통신연구원 | 3차원 포인트 클라우드의 공간 분할 방법 |
US8923606B2 (en) | 2012-01-09 | 2014-12-30 | Chrysler Group Llc | System and method for identifying an aperture in a representation of an object |
US8736463B1 (en) | 2012-01-30 | 2014-05-27 | Google Inc. | Object bounding box estimation |
US9129211B2 (en) * | 2012-03-15 | 2015-09-08 | GM Global Technology Operations LLC | Bayesian network to track objects using scan points using multiple LiDAR sensors |
GB2501466A (en) | 2012-04-02 | 2013-10-30 | Univ Oxford | Localising transportable apparatus |
US9523772B2 (en) | 2013-06-14 | 2016-12-20 | Microsoft Technology Licensing, Llc | Object removal using lidar-based classification |
DE102013223803A1 (de) | 2013-11-21 | 2015-05-21 | Robert Bosch Gmbh | Verfahren und Vorrichtung zur Segmentierung eines Belegungsgitters für ein Umfeldmodell eines Fahrerassistenzsystems für ein Fahrzeug |
US20150310601A1 (en) * | 2014-03-07 | 2015-10-29 | Digimarc Corporation | Methods and arrangements for identifying objects |
KR20160048530A (ko) | 2014-10-24 | 2016-05-04 | 국방과학연구소 | 자율 이동 차량의 경로 생성 방법 및 경로 생성 장치 |
US9821813B2 (en) * | 2014-11-13 | 2017-11-21 | Nec Corporation | Continuous occlusion models for road scene understanding |
GB2541153A (en) | 2015-04-24 | 2017-02-15 | Univ Oxford Innovation Ltd | Processing a series of images to identify at least a portion of an object |
-
2017
- 2017-01-18 US US15/408,862 patent/US10449956B2/en active Active
- 2017-12-20 RU RU2017144791A patent/RU2017144791A/ru not_active Application Discontinuation
-
2018
- 2018-01-08 MX MX2018000156A patent/MX2018000156A/es unknown
- 2018-01-10 DE DE102018100487.7A patent/DE102018100487A1/de active Pending
- 2018-01-11 CN CN201810024900.8A patent/CN108327723B/zh active Active
- 2018-01-17 GB GB1800750.0A patent/GB2560618A/en not_active Withdrawn
Also Published As
Publication number | Publication date |
---|---|
US10449956B2 (en) | 2019-10-22 |
DE102018100487A1 (de) | 2018-07-19 |
GB2560618A (en) | 2018-09-19 |
US20180203446A1 (en) | 2018-07-19 |
RU2017144791A (ru) | 2019-06-20 |
CN108327723B (zh) | 2022-12-02 |
GB201800750D0 (en) | 2018-02-28 |
CN108327723A (zh) | 2018-07-27 |
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