MX2022001301A - Identificacion de eventos fuera del vehiculo mejorada por la informacion. - Google Patents
Identificacion de eventos fuera del vehiculo mejorada por la informacion.Info
- Publication number
- MX2022001301A MX2022001301A MX2022001301A MX2022001301A MX2022001301A MX 2022001301 A MX2022001301 A MX 2022001301A MX 2022001301 A MX2022001301 A MX 2022001301A MX 2022001301 A MX2022001301 A MX 2022001301A MX 2022001301 A MX2022001301 A MX 2022001301A
- Authority
- MX
- Mexico
- Prior art keywords
- event
- vehicle event
- sensor data
- vehicle
- classified
- Prior art date
Links
Classifications
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
- G08G1/0108—Measuring and analyzing of parameters relative to traffic conditions based on the source of data
- G08G1/0112—Measuring and analyzing of parameters relative to traffic conditions based on the source of data from the vehicle, e.g. floating car data [FCD]
-
- G—PHYSICS
- G07—CHECKING-DEVICES
- G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
- G07C5/00—Registering or indicating the working of vehicles
- G07C5/08—Registering or indicating performance data other than driving, working, idle, or waiting time, with or without registering driving, working, idle or waiting time
- G07C5/0841—Registering performance data
- G07C5/085—Registering performance data using electronic data carriers
- G07C5/0866—Registering performance data using electronic data carriers the electronic data carrier being a digital video recorder in combination with video 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
- 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
- B60W40/10—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 vehicle motion
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR 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; 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
-
- 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
- G06V20/59—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
- G07—CHECKING-DEVICES
- G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
- G07C5/00—Registering or indicating the working of vehicles
- G07C5/008—Registering or indicating the working of vehicles communicating information to a remotely located station
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
- G08G1/0125—Traffic data processing
- G08G1/0129—Traffic data processing for creating historical data or processing based on historical data
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
- G08G1/0125—Traffic data processing
- G08G1/0133—Traffic data processing for classifying traffic situation
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/16—Anti-collision systems
- G08G1/161—Decentralised systems, e.g. inter-vehicle communication
- G08G1/162—Decentralised systems, e.g. inter-vehicle communication event-triggered
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60R—VEHICLES, VEHICLE FITTINGS, OR VEHICLE PARTS, NOT OTHERWISE PROVIDED FOR
- B60R2300/00—Details of viewing arrangements using cameras and displays, specially adapted for use in a vehicle
- B60R2300/10—Details of viewing arrangements using cameras and displays, specially adapted for use in a vehicle characterised by the type of camera system used
- B60R2300/108—Details of viewing arrangements using cameras and displays, specially adapted for use in a vehicle characterised by the type of camera system used using 'non-standard' camera systems, e.g. camera sensor used for additional purposes i.a. rain sensor, camera sensor split in multiple image areas
-
- 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
- B60W2556/00—Input parameters relating to data
- B60W2556/45—External transmission of data to or from 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
- B60W2756/00—Output or target parameters relating to data
- B60W2756/10—Involving external transmission of data to or from the vehicle
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Multimedia (AREA)
- Theoretical Computer Science (AREA)
- Chemical & Material Sciences (AREA)
- Analytical Chemistry (AREA)
- Mechanical Engineering (AREA)
- Transportation (AREA)
- Mathematical Physics (AREA)
- Automation & Control Theory (AREA)
- Software Systems (AREA)
- Traffic Control Systems (AREA)
Abstract
Un método para transmitir datos de eventos desde un sistema de detección y notificación de eventos en un vehículo a un servidor backend incluye el almacenamiento de datos del sensor de resolución completa en una memoria intermedia del vehículo y el submuestreo de los datos del sensor de resolución completa para producir una resolución reducida de los datos del sensor. Se detecta un evento del vehículo con base en un análisis de los datos del sensor de resolución reducida, y el evento del vehículo se clasifica con base en los datos del sensor de resolución reducida. Se determina si el evento del vehículo se clasifica como un tipo particular de evento con un grado mínimo de confianza. El método incluye entonces la transmisión de una indicación de que el evento del vehículo no ha sido clasificado con el grado mínimo de confianza cuando el evento del vehículo no ha sido clasificado con el grado mínimo de confianza, y la transmisión de los datos del sensor de resolución reducida para el evento del vehículo detectado cuando el evento del vehículo es clasificado con al menos el grado mínimo de confianza.
Applications Claiming Priority (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
US16/526,820 US11302125B2 (en) | 2019-07-30 | 2019-07-30 | Information-enhanced off-vehicle event identification |
PCT/US2020/043967 WO2021021865A1 (en) | 2019-07-30 | 2020-07-29 | Information-enhanced off-vehicle event identification |
Publications (1)
Publication Number | Publication Date |
---|---|
MX2022001301A true MX2022001301A (es) | 2022-03-02 |
Family
ID=74229561
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
MX2022001301A MX2022001301A (es) | 2019-07-30 | 2020-07-29 | Identificacion de eventos fuera del vehiculo mejorada por la informacion. |
Country Status (4)
Country | Link |
---|---|
US (1) | US11302125B2 (es) |
CA (1) | CA3146367C (es) |
MX (1) | MX2022001301A (es) |
WO (1) | WO2021021865A1 (es) |
Families Citing this family (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US10460534B1 (en) | 2015-10-26 | 2019-10-29 | Allstate Insurance Company | Vehicle-to-vehicle accident detection |
US11648938B2 (en) * | 2019-10-02 | 2023-05-16 | Toyota Motor North America, Inc. | Braking data mapping |
US20210370960A1 (en) * | 2020-01-22 | 2021-12-02 | Clearpath Robotics Inc. | Systems and methods for monitoring an operation of one or more self-driving vehicles |
Family Cites Families (23)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US7988190B2 (en) * | 1995-06-07 | 2011-08-02 | Automotive Technologies International, Inc. | Airbag deployment control using seatbelt-mounted sensor |
CN1506874A (zh) | 2002-12-13 | 2004-06-23 | 乐金信世股份有限公司 | 公路事故监测方法 |
US7821421B2 (en) | 2003-07-07 | 2010-10-26 | Sensomatix Ltd. | Traffic information system |
JP2006119965A (ja) * | 2004-10-22 | 2006-05-11 | Mitsubishi Fuso Truck & Bus Corp | 車載型警報システム |
US7912628B2 (en) * | 2006-03-03 | 2011-03-22 | Inrix, Inc. | Determining road traffic conditions using data from multiple data sources |
US7899611B2 (en) * | 2006-03-03 | 2011-03-01 | Inrix, Inc. | Detecting anomalous road traffic conditions |
US8508353B2 (en) | 2009-01-26 | 2013-08-13 | Drivecam, Inc. | Driver risk assessment system and method having calibrating automatic event scoring |
US20100157061A1 (en) * | 2008-12-24 | 2010-06-24 | Igor Katsman | Device and method for handheld device based vehicle monitoring and driver assistance |
US8907772B1 (en) | 2010-09-29 | 2014-12-09 | Cyber Physical Systems, Inc. | System and method for automatic unsafe driving determination and notification |
GB2486384B (en) * | 2010-12-15 | 2013-08-28 | Andrew William Wright | Method and system for logging vehicle behaviour |
US9958280B2 (en) * | 2011-08-16 | 2018-05-01 | Inrix, Inc. | Assessing inter-modal passenger travel options |
US8676428B2 (en) * | 2012-04-17 | 2014-03-18 | Lytx, Inc. | Server request for downloaded information from a vehicle-based monitor |
US9098956B2 (en) | 2013-09-26 | 2015-08-04 | Lytx, Inc. | Dynamic uploading protocol |
US20160280131A1 (en) | 2015-03-27 | 2016-09-29 | Caruma Technologies, Inc. | Connected vehicle system |
US9767625B1 (en) | 2015-04-13 | 2017-09-19 | Allstate Insurance Company | Automatic crash detection |
US20190339688A1 (en) * | 2016-05-09 | 2019-11-07 | Strong Force Iot Portfolio 2016, Llc | Methods and systems for data collection, learning, and streaming of machine signals for analytics and maintenance using the industrial internet of things |
US11112784B2 (en) * | 2016-05-09 | 2021-09-07 | Strong Force Iot Portfolio 2016, Llc | Methods and systems for communications in an industrial internet of things data collection environment with large data sets |
US10818109B2 (en) * | 2016-05-11 | 2020-10-27 | Smartdrive Systems, Inc. | Systems and methods for capturing and offloading different information based on event trigger type |
US10311655B2 (en) | 2017-01-18 | 2019-06-04 | BlueOwl, LLC | Technology for assessing accident events |
US10613534B2 (en) | 2017-02-03 | 2020-04-07 | Sentera, Inc. | Autonomous vehicle maneuver recognition |
US20190023208A1 (en) * | 2017-07-19 | 2019-01-24 | Ford Global Technologies, Llc | Brake prediction and engagement |
US20200133254A1 (en) * | 2018-05-07 | 2020-04-30 | Strong Force Iot Portfolio 2016, Llc | Methods and systems for data collection, learning, and streaming of machine signals for part identification and operating characteristics determination using the industrial internet of things |
US10747224B2 (en) * | 2018-06-19 | 2020-08-18 | Toyota Research Institute, Inc. | Debugging an autonomous driving machine learning model |
-
2019
- 2019-07-30 US US16/526,820 patent/US11302125B2/en active Active
-
2020
- 2020-07-29 MX MX2022001301A patent/MX2022001301A/es unknown
- 2020-07-29 CA CA3146367A patent/CA3146367C/en active Active
- 2020-07-29 WO PCT/US2020/043967 patent/WO2021021865A1/en active Application Filing
Also Published As
Publication number | Publication date |
---|---|
CA3146367C (en) | 2024-04-16 |
WO2021021865A1 (en) | 2021-02-04 |
US20210035387A1 (en) | 2021-02-04 |
CA3146367A1 (en) | 2021-02-04 |
US11302125B2 (en) | 2022-04-12 |
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