EP4377922A1 - Procédé pour fournir un journal automatique pour un conducteur d'un véhicule, système, véhicule, dispositif de commande électronique et produit de programme informatique - Google Patents

Procédé pour fournir un journal automatique pour un conducteur d'un véhicule, système, véhicule, dispositif de commande électronique et produit de programme informatique

Info

Publication number
EP4377922A1
EP4377922A1 EP21777209.4A EP21777209A EP4377922A1 EP 4377922 A1 EP4377922 A1 EP 4377922A1 EP 21777209 A EP21777209 A EP 21777209A EP 4377922 A1 EP4377922 A1 EP 4377922A1
Authority
EP
European Patent Office
Prior art keywords
driver
trip
vehicle
machine learning
learning system
Prior art date
Legal status (The legal status 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 status listed.)
Pending
Application number
EP21777209.4A
Other languages
German (de)
English (en)
Inventor
Markus-Julian CHUR
Sebastian Gehrling
Jan Pingel
Prathvirani TOLETY
Jan WELZBACHER
Adnan YURBAS
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Volkswagen AG
Original Assignee
Volkswagen AG
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 Volkswagen AG filed Critical Volkswagen AG
Publication of EP4377922A1 publication Critical patent/EP4377922A1/fr
Pending legal-status Critical Current

Links

Classifications

    • 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
    • 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
    • G07C5/0816—Indicating performance data, e.g. occurrence of a malfunction
    • G07C5/0833—Indicating performance data, e.g. occurrence of a malfunction using audio means
    • 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

Definitions

  • the invention is related to a method for providing an automatic logbook for a driver of a vehicle according to the independent method claim. Further, the invention is related to a corresponding system for a vehicle for providing an automatic logbook for a driver of a vehicle in the vehicle according to the independent system claim. Furthermore, the invention is related to a vehicle comprising a corresponding system according to the independent device claim. Moreover, the invention is related to an electronic control device according to the further independent device claim as well as to a computer program product according to the independent product claim.
  • Logbooks are basically known, especially for business uses. When drivers are required (e.g. by law and/or employer) to maintain a logbook for a vehicle, they nowadays have to manually provide information, whether a trip with this vehicle is related to a private or a business reason. The manual provision of travel information causes effort for the vehicle driver. Digital logbooks already exist.
  • the user may usually decide between three solutions:
  • n-car device third party device has to be installed in the car, a user receives the logbook in digital format and needs to manually separate business and private trips and forward it to the tax office.
  • the user has to manually decide after the trip was done whether a business or private trip was done.
  • manual effort is still required (e.g. writing the record, calculating number of kilometers driven, checking the mobile phone app, separating private tracks from business trips, storing information in a fleet management system, send data to a tax consultant, the tax consultant checking the data, send the data to a tax authority, etc.).
  • the aim of the present invention is to provide a method for providing an automatic logbook for a driver of a vehicle, with preferable features, trustful results, especially acknowledged by authorized authorities, and convenient use, preferably in an easy, simple and intuitive way, with reduced effort for the vehicle driver. Also, the aim of the invention is to provide an improved system for a vehicle for providing an automatic logbook for a driver of a vehicle in the vehicle. Besides, the aim of the invention is to provide a vehicle comprising a corresponding system. Further, the aim of the invention is to provide an electronic control device and a computer program product for a corresponding method.
  • embodiments of the invention provide a method for providing an automatic logbook for a driver of a vehicle with the features of the independent method claim.
  • embodiments of the invention provide a system for an automatic logbook for a driver of a vehicle in the vehicle with the features of the independent system claim.
  • embodiments of the invention provide a vehicle comprising a corresponding system with the features of the independent device claim.
  • embodiments of the invention provide a corresponding electronic control device for a corresponding method with the features of the second independent device claim.
  • embodiments of the invention provide a computer program product for a corresponding method with the features of the independent product claim. Details and features disclosed on individual aspects of the invention also apply to the other aspects of the invention and vice versa.
  • embodiments of the invention provide a method for an automatic logbook for a driver of a vehicle, the method comprising: identify the driver of the vehicle, in particular by an identification device, preferably installed in the vehicle, such as a device for face recognition, voice recognition, key recognition, code recognition and/or driving profile recognition, determine at least one navigation information for a driver trip with the vehicle, in particular by a navigation device, preferably installed in the vehicle, for example by starting a navigation to a destination point, wherein at least one navigation information may comprise a starting point, a destination point, navigation data, such as gps-data, of the trip, map data of the trip, and so on, assign a characteristic (for example a private trip or business trip) to the driver trip for an identified driver identity according to the at least one navigation information automatically by a machine learning system, especially comprising an artificial neural network, wherein especially the at least one navigation information is used (initially) as training data and/or (further) input data for the machine learning system, wherein in particular
  • the idea is to provide a (to be certified and/or approved and/or officially recognized) method and a system for a vehicle for detection of and separation between different trip types (e.g. business vs. private) of a particular user of the vehicle for the use of automatically provided logbooks for official purposes, for example tax declarations, without further efforts.
  • publicly available information e.g. map data
  • vehicle information e.g. track records
  • the user only has to confirm via human machine interface if the “guess” of the machine learning system (that is of the artificial neural network) was right.
  • the confirmed information may be provided to employers and/or tax authority automatically, for example every year, without any additional actions and/or calculations and/or registration actions required from the user.
  • the method may use the track record of the vehicle and pair it with other information such as day time, trip duration, navigation details, driver identity, etc. and publicly available data such as map data.
  • the method may use a self-optimizing machine learning clustering algorithm to decide if the driver trip was a business or private trip.
  • the method may let the driver confirm or correct the “guess” of the learning algorithm to confirm or correct the data but also improve the learning algorithm.
  • the method may provide an entry to the logbook in accordance to the assigned characteristic of the driver trip.
  • the method may provide several advantages for the driver, such as:
  • the method may provide several advantages for employers and/or authorized and/or governmental authorities, such as tax authorities:
  • a driver of a vehicle will be identified at least by one of the following technics: face recognition, voice recognition, user mobile device, especially smartphone, recognition, key recognition, code recognition, and/or driving profile.
  • variable technics may be provided for identifying the driver of the vehicle. Therefore, the method may be executed on different vehicles of various manufacturers having different equipment.
  • the at least one navigation information for the driver trip contain at least one of the following data: a trip starting point, a trip destination point, available facilities at the destination point, a trip record, a trip starting time, a trip destination time, a trip duration, navigation details, and/or map data.
  • the at least one navigation information is used as training data and/or input data for the machine learning system, and thus for the artificial neural network of the machine learning system.
  • a self-learning network may be provided, preferably learning by the use of the vehicle.
  • the machine learning system may be configured as an adaptive and/or permanently learning system.
  • reliable, correct and trustworthy logbooks may be provided by the method.
  • the assigned characteristic of the driver trip may comprise: a business trip or a private trip.
  • the verification of the assigned characteristic will be executed in a noncontact way, preferably by a voice command.
  • no manual actions need to be done by the driver.
  • the convenience of the use of the method may be increased.
  • manual errors may be voided. Therefore, trustful logbooks may be provided.
  • the verification of the assigned characteristic may be recorded by an input device of the vehicle, especially by the human machine interface, preferably an audio device of the human machine interface.
  • the method comprises at least one of the following: recording of the driver trip, the assigned characteristic of the driver trip and/or the at least one navigation information as a logbook entry, especially in an non-transitory and/or non-volatile memory device of the vehicle and/or of an external server.
  • the method comprises at least one of the following: transmitting the driver identity and corresponding logbook entries to an official authority and/or a trip detection system for official purposes.
  • the method comprises at least one of the following: transmitting logbook entries to a trip detection system for commercial purposes.
  • the method will be executed by an electronic control device of the vehicle, wherein especially some actions and/or calculations will be at least partly transferred to an external server for execution.
  • the method may be executed in the vehicle without external devices of third parties.
  • embodiments of the invention provide a system for providing an automatic logbook for a driver of a vehicle, comprising: identification device for identifying the driver of the vehicle, navigation device for determining at least one navigation information for a driver trip with the vehicle, a computing device comprising a machine learning system (and that is an artificial neural network) for automatically assigning a characteristic to the driver trip according to an identified driver identity and the at least one navigation information, wherein especially the at least one navigation information is used as training data and/or input data for the machine learning system (and that is for the artificial neural network), a human machine interface, preferably installed in the vehicle, for outputting the assigned characteristic of the driver trip by the machine learning system to the driver, an input device, preferably an audio device, for obtaining a verification of the assigned characteristic from the driver, especially in a non-contact way, preferably by a voice command, wherein especially the computing device is configured to use the verification (True, False) from the driver for training and/or for adaptation of the machine learning system.
  • an non-transitory and/or non-volatile memory device may be provided for the storage of the driver trip, the assigned characteristic of the driver trip and/or the at least one navigation information as a logbook entry.
  • Embodiments of the invention provide, according to the third aspect, a vehicle comprising a corresponding system. With such a vehicle, the same advantages may be achieved as with the system described above. Full reference is made to these advantages in the present case.
  • embodiments of the invention provide an electronic control device comprising: a memory device, in which a program code is stored, and a computing device, wherein when carrying out the program code by the computing device, a method is performed as described above.
  • a memory device in which a program code is stored
  • a computing device wherein when carrying out the program code by the computing device, a method is performed as described above.
  • the invention provides a computer program product comprising a program code for carrying out a method as described above.
  • the computer program product comprises instructions which, when the program is executed by a computer, cause the computer to carry out embodiments of the method described above.
  • the same advantages may be achieved as with corresponding embodiments of the method described above. Full reference is made to these advantages in the present case.
  • Fig. 1 a schematic design of possible use cases of a system within the meaning of the invention
  • Fig. 2 a schematic design of a possible machine learning system within the meaning of the invention
  • Fig. 3 a schematic design of a system within the meaning of the invention.
  • Fig. 1 and Fig. 2 serve as an explanation of a method and a system 100 for providing an automatic logbook for a driver D of a vehicle 10.
  • the method comprises: 201 identify the driver D of the vehicle 10.
  • Action 201 may be executed by an identification device 101 , preferably installed in the vehicle 10.
  • ID1 face recognition
  • ID2 voice recognition
  • ID3 key/code/device recognition, and/or
  • ID4 driving profile recognition, etc.
  • vehicle devices such as cameras, microphones, ID-devices, evaluation systems, preferably using machine learning technics for the recognition.
  • the method comprises: 202 determine at least one navigation information 11 , I2 for a driver trip T with the vehicle 10.
  • Action 202 may be executed by a navigation device 102, preferably installed in the vehicle 10, for example by starting a navigation to a destination point. This action may be executed with the help of an external map data provider 21 .
  • An external map data provider 21 may for example supply mad data MAP to the navigation device 102 of the vehicle 10, directly or over the external server 20.
  • the at least one navigation information 11 , I2 may comprise: a trip starting point A, a trip destination point B, available facilities F at the destination point B, a trip record REC, for example in the form of the function of GPS coordinates depending on the time t, a trip starting time t1 , a trip destination time t2, a trip duration dt, navigation details NAVI, map data MAP, and so on.
  • the method comprises:
  • 203 assign a characteristic C1 , C2 (for example a private trip C2 or business trip C1 ) to the driver trip T for an identified driver identity ID according to the at least one navigation information 11 , I2 automatically by a machine learning system MLS, especially comprising an artificial neural network ANN.
  • a characteristic C1 , C2 for example a private trip C2 or business trip C1
  • a machine learning system MLS especially comprising an artificial neural network ANN.
  • the at least one navigation information 11 , I2 may be used as training data for the artificial neural network ANN of the machine learning system MLS. Furthermore, the at least one navigation information 11 , I2 may be used as input data for the artificial neural network ANN.
  • the machine learning system MLS especially comprising the artificial neural network ANN, may be installed in a computing device cu of an electronic control device of the vehicle 10 and/or in an external server 20 which may be contacted by the vehicle 10 to provide computational services.
  • the method comprises the following:
  • the human machine interface HMI may be installed in the vehicle 10.
  • the human machine interface HMI may be designed in the form of a display device, for example in a head device of the vehicle 10.
  • the method comprises the following:
  • the verification True, False of the assigned characteristic C1 , C2 may be obtained through an input device of the vehicle 10, especially through the human machine interface HMI, preferably an audio device au of the human machine interface HMI.
  • action 205 may be executed especially in a non-contact way, preferably by a voice command.
  • the method may comprise the following:
  • the invention provides a reliable method (which may be certified and/or officially authorized by governmental authorities) and a system 100 for a vehicle 10 for detection of and separation between different types of trips of a particular user of the vehicle 10 for the use of automatically provided logbooks, especially for official purposes, for example tax declarations, without any further efforts.
  • An artificial neural network ANN is used to distinguish the driver trips T between business trips C1 and private trips C2.
  • the driver trips T may be automatically separated into “business” and “private”.
  • the driver D only has to confirm via a human machine interface if the “guess” of the artificial neural network ANN was right.
  • the confirmed information is used to provide a logbook entry which may be provided to employers and/or a tax authority automatically, for example every year, without any additional actions and/or calculations and/or registration actions required from the user.
  • the method may comprise at least one of the following:
  • the method may comprise at least one of the following: 208 transmitting the driver identity ID and corresponding logbook entries to an official authority T 1 and/or a trip detection system T2 for official purposes, preferably over a secure connection.
  • the method may comprise at least one of the following:
  • additional commercial advantages like personalized promotions and/or discounts, may be provided to the driver D by the trip detection system T3 for commercial purposes.
  • the method may be executed by an electronic control device ECU of the vehicle 10.
  • some actions and/or calculations may be at least partly transferred to an external server 20 for execution.
  • the machine learning system MLS especially comprising the artificial neural network ANN, may be installed in the external server 20.
  • a corresponding system 100 for providing an automatic logbook for a driver D of a vehicle 10 within the meaning of the invention is schematically shown in Fig. 3, comprising: identification device 101 for identifying the driver D of the vehicle 10, navigation device 102 for determining at least one navigation information 11 , I2 for a driver trip T with the vehicle 10, a computing device cu comprising a machine learning system MLS (and that is an artificial neural network ANN) for automatically assigning a characteristic C1 , C2 to the driver trip T according to an identified driver identity ID and the at least one navigation information 11 , I2, wherein especially the at least one navigation information 11 , I2 is used as training data and/or input data for the machine learning system MLS (and that is for artificial neural network ANN), a human machine interface HMI, preferably installed in the vehicle 10, for outputting the assigned characteristic C1 , C2 of the driver trip T by the machine learning system MLS to the driver D, an input device, preferably an audio device au, for obtaining a verification True, False of the assigned characteristic C
  • a non-transitory and/or non-volatile memory device mu may be provided within the system 100 for the storage of the driver trip T, the assigned characteristic C1 , C2 of the driver trip T and/or the at least one navigation information 11 , I2 as a logbook entry.
  • the elements of the system 100 may be preferably installed in the vehicle 10.
  • parts of the computing device cu like a machine learning system MLS comprising an artificial neural network ANN, may be provided in the external server 20.
  • the vehicle 10 comprising a corresponding system 100 provides the third aspect of the invention.
  • An electronic control device ECU comprising a memory device mu, in which a program code is stored, and a computing device cu, wherein when carrying out the program code by the computing device cu, a method is performed as described above, provides the fourth aspect of the invention.
  • the electronic control device ECU is configured in such a way to execute embodiments of the method as described above.
  • a computer program product comprising a program code for carrying out a method as described above provides an aspect of the invention.

Landscapes

  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Engineering & Computer Science (AREA)
  • Multimedia (AREA)
  • Navigation (AREA)
  • Traffic Control Systems (AREA)

Abstract

L'invention concerne un procédé de fourniture d'un journal automatique pour un conducteur (D) d'un véhicule (10), le procédé comprenant : - l'identification du conducteur (D) du véhicule (10), - la détermination d'au moins une information de navigation (I1, I2) pour un trajet du conducteur (T) avec le véhicule (10), - l'attribution d'une caractéristique (C1, C2) au trajet du conducteur (T) pour une identité de conducteur identifiée (ID) en fonction de ladite au moins une information de navigation (I1, I2) automatiquement par un système d'apprentissage automatique (MLS), en particulier, ladite au moins une information de navigation (I1, I2) étant utilisée comme donnée d'apprentissage et/ou en tant que donnée d'entrée pour le système d'apprentissage automatique (MLS), - la délivrance de la caractéristique attribuée (C1, C2) du trajet du conducteur (T) par le système d'apprentissage automatique (MLS) au conducteur (D) par une interface homme-machine (HMI), - l'obtention d'une vérification (Vrai, Faux) de la caractéristique attribuée (C1, C2) à partir du conducteur (D), en particulier d'une manière sans contact, de préférence par une commande vocale, - notamment l'utilisation de la vérification (vrai, faux) du conducteur (D) pour l'entraînement et/ou pour l'adaptation du système d'apprentissage automatique (MLS).
EP21777209.4A 2021-09-07 2021-09-07 Procédé pour fournir un journal automatique pour un conducteur d'un véhicule, système, véhicule, dispositif de commande électronique et produit de programme informatique Pending EP4377922A1 (fr)

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
PCT/EP2021/074602 WO2023036403A1 (fr) 2021-09-07 2021-09-07 Procédé pour fournir un journal automatique pour un conducteur d'un véhicule, système, véhicule, dispositif de commande électronique et produit de programme informatique

Publications (1)

Publication Number Publication Date
EP4377922A1 true EP4377922A1 (fr) 2024-06-05

Family

ID=77910742

Family Applications (1)

Application Number Title Priority Date Filing Date
EP21777209.4A Pending EP4377922A1 (fr) 2021-09-07 2021-09-07 Procédé pour fournir un journal automatique pour un conducteur d'un véhicule, système, véhicule, dispositif de commande électronique et produit de programme informatique

Country Status (2)

Country Link
EP (1) EP4377922A1 (fr)
WO (1) WO2023036403A1 (fr)

Family Cites Families (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US9779557B2 (en) * 2015-08-18 2017-10-03 Carfit Corp. Automotive activity monitor
US20190186939A1 (en) * 2017-12-20 2019-06-20 Nio Usa, Inc. Intelligent trip prediction in autonomous vehicles
US11162802B2 (en) * 2019-10-28 2021-11-02 Allstate Insurance Company Systems and methods for classifying vehicle trips
US11664043B2 (en) * 2019-12-31 2023-05-30 Beijing Didi Infinity Technology And Development Co., Ltd. Real-time verbal harassment detection system
EP4100911A4 (fr) * 2020-02-03 2024-02-28 Synapse Partners, LLC Systèmes et procédés de traitement de transport terrestre personnalisé et de prédictions d'intention d'utilisateur

Also Published As

Publication number Publication date
WO2023036403A1 (fr) 2023-03-16

Similar Documents

Publication Publication Date Title
US11651316B2 (en) Controlling vehicles using contextual driver and/or rider data based on automatic passenger detection and mobility status
RU2683902C2 (ru) Транспортное средство, способ и система для планирования режимов транспортного средства с использованием изученных предпочтений пользователя
CN107886436B (zh) 一种车辆保险自动理赔的方法、存储介质及车载终端
JP6804865B2 (ja) 情報提供システム、情報提供装置および情報提供方法
WO2019184541A1 (fr) Procédé et appareil d'analyse de service de conduite, dispositif, et support d'informations
WO2014059208A2 (fr) Procédé et système pour déterminer un risque d'assurance automobile
US10899358B2 (en) Vehicle driver monitoring system and method for capturing driver performance parameters
CN105659639A (zh) 将外部设备关联到交通工具及所述关联的应用
CN105144140A (zh) 用于远程信息控制及通信的系统及方法
US20150187351A1 (en) Method and system for providing user with information in vehicle
CN110599353A (zh) 一种车辆出险和赔付率预测方法、装置、设备及介质
US20200242646A1 (en) Commercializing user patterns via blockchain
JP2017027414A (ja) サーバー装置、ライフログシステムおよび注意情報出力方法
JP7146097B2 (ja) トンネル工事車両の出勤評価方法、コンピューター装置及びコンピューター読み取り可能な記憶媒体
CN108932290B (zh) 地点提案装置及地点提案方法
US20190180382A1 (en) Methods and systems for driver and/or itinerary identification
CN106926797B (zh) 车辆保养服务系统及其服务方法
JP6916904B2 (ja) 端末装置、トランスポンダ、課金システム、課金方法、及び課金プログラム
JP2022040073A (ja) 経路データに基づく輸送手段への無線エネルギー転送
EP4377922A1 (fr) Procédé pour fournir un journal automatique pour un conducteur d'un véhicule, système, véhicule, dispositif de commande électronique et produit de programme informatique
CN109934953A (zh) 用于评估用户使用车辆状况的方法和装置
CN105608921B (zh) 在电子装置中提示公共交通线路的方法和设备
JP2018059721A (ja) 駐車位置探索方法、駐車位置探索装置、駐車位置探索プログラム及び移動体
CN112700648B (zh) 确定交通违章位置的方法和装置
US11511769B2 (en) Data collecting system, server, and data processing apparatus

Legal Events

Date Code Title Description
STAA Information on the status of an ep patent application or granted ep patent

Free format text: STATUS: UNKNOWN

STAA Information on the status of an ep patent application or granted ep patent

Free format text: STATUS: THE INTERNATIONAL PUBLICATION HAS BEEN MADE

PUAI Public reference made under article 153(3) epc to a published international application that has entered the european phase

Free format text: ORIGINAL CODE: 0009012

STAA Information on the status of an ep patent application or granted ep patent

Free format text: STATUS: REQUEST FOR EXAMINATION WAS MADE

17P Request for examination filed

Effective date: 20240227

AK Designated contracting states

Kind code of ref document: A1

Designated state(s): AL AT BE BG CH CY CZ DE DK EE ES FI FR GB GR HR HU IE IS IT LI LT LU LV MC MK MT NL NO PL PT RO RS SE SI SK SM TR