SE1851126A1 - Method and control arrangement for distributed training for vehi-cle model based decisions - Google Patents
Method and control arrangement for distributed training for vehi-cle model based decisionsInfo
- Publication number
- SE1851126A1 SE1851126A1 SE1851126A SE1851126A SE1851126A1 SE 1851126 A1 SE1851126 A1 SE 1851126A1 SE 1851126 A SE1851126 A SE 1851126A SE 1851126 A SE1851126 A SE 1851126A SE 1851126 A1 SE1851126 A1 SE 1851126A1
- Authority
- SE
- Sweden
- Prior art keywords
- model
- control arrangement
- vehi
- cle
- model based
- Prior art date
Links
- 238000000034 method Methods 0.000 title abstract 3
- 239000003981 vehicle Substances 0.000 title 1
- 238000004364 calculation method Methods 0.000 abstract 4
- 238000010801 machine learning Methods 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
- 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
- B60W50/0097—Predicting future conditions
-
- 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
- G05D1/20—Control system inputs
- G05D1/22—Command input arrangements
-
- 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
- G05D1/40—Control within particular dimensions
- G05D1/43—Control of position or course in two dimensions
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N20/00—Machine learning
-
- 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
- G08G1/09—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
- G08G1/0967—Systems involving transmission of highway information, e.g. weather, speed limits
- G08G1/096708—Systems involving transmission of highway information, e.g. weather, speed limits where the received information might be used to generate an automatic action on the vehicle control
Landscapes
- Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Physics & Mathematics (AREA)
- Automation & Control Theory (AREA)
- Software Systems (AREA)
- Remote Sensing (AREA)
- Radar, Positioning & Navigation (AREA)
- Aviation & Aerospace Engineering (AREA)
- Theoretical Computer Science (AREA)
- Computing Systems (AREA)
- Analytical Chemistry (AREA)
- Evolutionary Computation (AREA)
- Data Mining & Analysis (AREA)
- General Engineering & Computer Science (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Mathematical Physics (AREA)
- Artificial Intelligence (AREA)
- Chemical & Material Sciences (AREA)
- Medical Informatics (AREA)
- Life Sciences & Earth Sciences (AREA)
- Atmospheric Sciences (AREA)
- Mechanical Engineering (AREA)
- Transportation (AREA)
- Human Computer Interaction (AREA)
- Control Of Driving Devices And Active Controlling Of Vehicle (AREA)
- Traffic Control Systems (AREA)
Abstract
Method (400) and control arrangement (310) for vehicle external assistance in training of a model for machine learning of an application in a vehicle (100). The method (400) comprises: detecting (401) at least one vehicle external entity (101a, 101b), capable of assisting in creating the model; determining (402) the detected (401) vehicle external entity (101a, 101b) to perform at least a subset of required calculations of the model; transmitting (403) data of the vehicle (100) to the detected (401) vehicle external entity (101a, 101b) in order to perform the required calculations of the model; receiving (404) the result of the calculations, from the vehicle external entity (101a, 101b); and composing (405) the model, based on the received (404) calculation results.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
SE1851126A SE1851126A1 (en) | 2018-09-21 | 2018-09-21 | Method and control arrangement for distributed training for vehi-cle model based decisions |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
SE1851126A SE1851126A1 (en) | 2018-09-21 | 2018-09-21 | Method and control arrangement for distributed training for vehi-cle model based decisions |
Publications (1)
Publication Number | Publication Date |
---|---|
SE1851126A1 true SE1851126A1 (en) | 2019-06-17 |
Family
ID=67214577
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
SE1851126A SE1851126A1 (en) | 2018-09-21 | 2018-09-21 | Method and control arrangement for distributed training for vehi-cle model based decisions |
Country Status (1)
Country | Link |
---|---|
SE (1) | SE1851126A1 (en) |
Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20160035150A1 (en) * | 2014-07-30 | 2016-02-04 | Verizon Patent And Licensing Inc. | Analysis of vehicle data to predict component failure |
US20180053102A1 (en) * | 2016-08-16 | 2018-02-22 | Toyota Jidosha Kabushiki Kaisha | Individualized Adaptation of Driver Action Prediction Models |
US20180053108A1 (en) * | 2016-08-16 | 2018-02-22 | Toyota Jidosha Kabushiki Kaisha | Efficient Driver Action Prediction System Based on Temporal Fusion of Sensor Data Using Deep (Bidirectional) Recurrent Neural Network |
JP2018136754A (en) * | 2017-02-22 | 2018-08-30 | 株式会社日立製作所 | Information processing apparatus, and mobility data collecting system |
-
2018
- 2018-09-21 SE SE1851126A patent/SE1851126A1/en not_active Application Discontinuation
Patent Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20160035150A1 (en) * | 2014-07-30 | 2016-02-04 | Verizon Patent And Licensing Inc. | Analysis of vehicle data to predict component failure |
US20180053102A1 (en) * | 2016-08-16 | 2018-02-22 | Toyota Jidosha Kabushiki Kaisha | Individualized Adaptation of Driver Action Prediction Models |
US20180053108A1 (en) * | 2016-08-16 | 2018-02-22 | Toyota Jidosha Kabushiki Kaisha | Efficient Driver Action Prediction System Based on Temporal Fusion of Sensor Data Using Deep (Bidirectional) Recurrent Neural Network |
JP2018136754A (en) * | 2017-02-22 | 2018-08-30 | 株式会社日立製作所 | Information processing apparatus, and mobility data collecting system |
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Legal Events
Date | Code | Title | Description |
---|---|---|---|
NAV | Patent application has lapsed |