EP3388307B1 - Fusion de données liées à l'infrastructure, en particulier de données liées à l'infrastructure pour véhicules ferroviaires - Google Patents

Fusion de données liées à l'infrastructure, en particulier de données liées à l'infrastructure pour véhicules ferroviaires Download PDF

Info

Publication number
EP3388307B1
EP3388307B1 EP18166626.4A EP18166626A EP3388307B1 EP 3388307 B1 EP3388307 B1 EP 3388307B1 EP 18166626 A EP18166626 A EP 18166626A EP 3388307 B1 EP3388307 B1 EP 3388307B1
Authority
EP
European Patent Office
Prior art keywords
data
dataset
vehicles
infrastructure
existing
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.)
Revoked
Application number
EP18166626.4A
Other languages
German (de)
English (en)
Other versions
EP3388307A3 (fr
EP3388307A2 (fr
Inventor
Bernd Foißner
Martin Deuter
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.)
Knorr Bremse Systeme fuer Schienenfahrzeuge GmbH
Original Assignee
Knorr Bremse Systeme fuer Schienenfahrzeuge GmbH
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
Family has litigation
First worldwide family litigation filed litigation Critical https://patents.darts-ip.com/?family=61972324&utm_source=google_patent&utm_medium=platform_link&utm_campaign=public_patent_search&patent=EP3388307(B1) "Global patent litigation dataset” by Darts-ip is licensed under a Creative Commons Attribution 4.0 International License.
Application filed by Knorr Bremse Systeme fuer Schienenfahrzeuge GmbH filed Critical Knorr Bremse Systeme fuer Schienenfahrzeuge GmbH
Publication of EP3388307A2 publication Critical patent/EP3388307A2/fr
Publication of EP3388307A3 publication Critical patent/EP3388307A3/fr
Application granted granted Critical
Publication of EP3388307B1 publication Critical patent/EP3388307B1/fr
Revoked legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B61—RAILWAYS
    • B61L—GUIDING RAILWAY TRAFFIC; ENSURING THE SAFETY OF RAILWAY TRAFFIC
    • B61L15/00—Indicators provided on the vehicle or train for signalling purposes
    • B61L15/0058—On-board optimisation of vehicle or vehicle train operation
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B61—RAILWAYS
    • B61L—GUIDING RAILWAY TRAFFIC; ENSURING THE SAFETY OF RAILWAY TRAFFIC
    • B61L27/00—Central railway traffic control systems; Trackside control; Communication systems specially adapted therefor
    • B61L27/40—Handling position reports or trackside vehicle data
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B61—RAILWAYS
    • B61L—GUIDING RAILWAY TRAFFIC; ENSURING THE SAFETY OF RAILWAY TRAFFIC
    • B61L27/00—Central railway traffic control systems; Trackside control; Communication systems specially adapted therefor
    • B61L27/50—Trackside diagnosis or maintenance, e.g. software upgrades
    • B61L27/53—Trackside diagnosis or maintenance, e.g. software upgrades for trackside elements or systems, e.g. trackside supervision of trackside control system conditions

Definitions

  • the present invention relates to a method for merging infrastructure-related data, in particular infrastructure-related data for vehicles, in particular rail vehicles, a computer program product for carrying out this method and a device for carrying out this method.
  • Such infrastructure-related data typically contain information on route characteristics, such as the gradient, information on maximum permissible speeds or the positions of stops and the like. Information on the maintenance intervals or the general condition of the route is also conceivable.
  • track-bound vehicles are to be understood as vehicles which follow a fixed lane and cannot leave it or can only leave it under certain conditions, such as magnetic levitation trains or driverless transport vehicles.
  • the WO 2004/028 881 A1 shows a monitoring of a route of an autonomous mobile unit, such as a driverless lane-bound vehicle, using a multi-sensor system in which three different types of sensors, a laser sensor, a radar sensor and a video sensor, are merged and the route is monitored with the result of the fusion.
  • This invention is based on the object of generating new data records from existing infrastructure-related data records that are present consistently, completely, with a corresponding level of detail and with a corresponding data quality.
  • the creation of the new data record is essentially carried out by first reading in at least one existing data record from at least one source and then converting it to at least one new data record with a uniform format, the at least one existing data record containing data that describe an infrastructure section , wherein the uniform format is suitable for making the new data record accessible to a driver assistance system of a vehicle, whereby the operation of such a driver assistance system is made possible.
  • a uniform format is suitable for making the new data record accessible to a driver assistance system of a vehicle, whereby the operation of such a driver assistance system is made possible.
  • a new data record is created by means of a data fusion of at least two existing data records, whereby the information content of the new data record is at least as high as the information content of the at least two existing data records.
  • the merged, new data set now contains the data and information of both data sets, whereby the information content of this data set is higher than that of the two individual data sets.
  • the quality of the data records is also assessed, with certain data being identified as trustworthy data records for further fusion on the basis of the quality.
  • the quality of a data record preferably describes how suitable the data record is for describing an infrastructure section and for further processing.
  • the quality can be assessed by analyzing a data record with regard to its information content. If there are two data sets evaluated as plausible, which describe the course of the same route, which is characterized by a strongly changing gradient, the data set with the higher quality is to be evaluated, which has the higher resolution, i.e. has more interpolation points. As a result, this data record describes the route in much more detail than the other data record. A high level of detail, i.e. a high number of support points, can thus mean a measure of high data quality.
  • the evaluation of the quality can preferably also be carried out or influenced by the user by allowing his own evaluation of the quality to flow into the method.
  • Data from both data sets are preferably identified which describe the same infrastructure section in order to avoid duplication of the data in the data set that is merged later.
  • certain trustworthy data records are preferably determined which serve as the data basis in the further process if other data records supply contradicting data.
  • Such a trustworthy data record is preferably a data record which was previously read in from the sources, or it was created specifically for this purpose and made available for further processing of the method.
  • connecting points of the at least two data records are also identified in order to merge them in accordance with the infrastructure.
  • the at least two data records are preferably checked before and / or after the merger with regard to existing data gaps and / or further inconsistencies, these being identified for further processing.
  • the source from which the data records are read in can preferably be existing data records which have a static character, that is to say which cannot be changed.
  • Data records generated dynamically which are generated, for example, during the operation of the vehicles or by the driver, can preferably be read in from other sources. These dynamically generated data sets are preferably used to supplement the already existing static data sets.
  • At least one existing data record is preferably defined as a trustworthy data record as a reference for the plausibility check.
  • This trustworthy data set then serves as the only data source when several data sets describe one and the same route section, but provide different or even contradicting information.
  • the selection of the trustworthy data source can preferably take place via a weighting or evaluation of the quality between the individual data sets which serve as data sources.
  • a plausibility check preferably also includes a check with regard to the data consistency.
  • the height information is preferably checked, especially at the transition points between individual data records, thereby avoiding discontinuities.
  • the driver assistance systems located in the vehicles are preferably designed to carry out the autonomous or also partially autonomous operation of the vehicles on the basis of the newly generated data sets.
  • the newly generated data sets preferably have infrastructure-related information on a road network in which the vehicles are moving.
  • these are rail vehicles which move on a rail network.
  • the invention is a computer program product with program code stored on a machine-readable carrier for performing the method described above, wherein the carrier can be, for example, a USB stick or the like, or the computer program product via a server using a suitable data connection can be made available.
  • the invention is in the form of a device which processes the method described above.
  • Devices of this type are preferably to be understood as meaning devices that are designed for installation in vehicles, for example in the form of an on-board unit, or devices on the side of the road, such as signal boxes or control centers.
  • the device When installed in a vehicle, the device is preferably used to process the data records present on the vehicle, so that no new data records have to be generated.
  • the device is preferably provided in a planning center which takes care of long-term maintenance of the data which serve as the basis for the operation of the vehicles on a road network which is formed from several infrastructure sections.
  • the device preferably has at least one suitable interface to the vehicle or the path-side device which is adapted to determine the data required for the method described above.
  • the device preferably has at least one interface accessible to a user, so that the user can transmit additional information and / or static or dynamic data to the device via this interface.
  • the user can transmit data from a measurement run, which was undertaken to supplement existing data sets, to the device via this interface.
  • the option transferring unforeseen events directly to the device while driving.
  • the device is preferably designed to be installed in a track-bound vehicle, in particular a rail vehicle, and to interact with it.
  • Fig. 1 shows a flow chart of an embodiment of the method according to the invention with the essential steps of the method.
  • Static data is understood to mean all infrastructure-related data that is essentially static, i.e. unchangeable.
  • An example of static data is information about the gradient of a route section, as this does not change during normal operation.
  • Dynamic data are preferably to be understood as data that were generated during operation of the vehicles or by special measurement drives. These dynamic data represent a possibility of supplementing or closing existing data gaps in the static data, but they can also be used to enrich the static data with further information, such as the position of a temporary construction site.
  • a plausibility check S3 of the imported data takes place.
  • implausible data such as negative maximum speeds or height information that do not correspond to the typical terrain, are sorted out or at least marked as faulty for further processing.
  • a comparison with other data classified as correct or plausible, such as map data can take place.
  • the evaluation S4 of a quality of the data records that were previously read takes place.
  • the quality of a data record describes how suitable the data record is for describing an infrastructure section and further processing.
  • the quality of the data is weighted in such a way that at least one data source is defined or recognized as more trustworthy or more accurate than the other data sources and its data parameters are adopted in case of doubt or, in the case of several data sources that provide the same data parameters, a majority decision can be made. It is also conceivable to define different trustworthy data for different route sections. In this way, a first data record for a first route section can be defined as trustworthy. However, this turns out to be bad or unsuitable for a subsequent second route section. Instead, a second data set is defined as trustworthy and used as a possible data basis.
  • This weighting is not only done on a data source-specific basis, but can also be changed on a data-parameter-specific basis by means of exception regulations. For example, in case of doubt, the data from a data source should be used, if specifically the data parameter "direction indicator" is inconsistent, this should be taken over from another data source.
  • the data records defined as trustworthy are also referred to as support points or anchor points. As described above, they are used to allow you to withdraw to these data records if implausible or incorrect information comes from other data records.
  • the now prepared data sets are merged in a further step by means of data fusion S5 to form a data set in a standard format.
  • filters and compensation calculations are used to identify data gaps or implausible points that are not due to the anchor points could be resolved to eliminate.
  • the compensation calculations can also be used to correct the resolution of the data records in order to obtain a desired support point resolution for the new data record.
  • a routing mechanism can be used to use nearby routes (see above In one case, for example, the route data measured by GPS are prioritized higher than the timetable data for a route section).
  • the result of the data fusion S5 is a data record in the standard format, which is subjected to a further plausibility check S6 in a further step in order to ensure that the transition points of this data record to the next, subsequent data record, which is already available in the standard format, are consistent and plausible.
  • This plausibility check S6 runs essentially according to the same steps as those during the data fusion S5, only that a check is now carried out against neighboring data records.
  • the new data record is then made available for further processing at the END of the procedure.
  • This method has the advantage that, to a large extent, a number of consistent, complete data records are automatically generated which have at least the same or a higher level of detail and at least the same or a higher data quality.
  • Fig. 2 shows a further flowchart of an embodiment of the method according to the invention with a detailed representation of individual processing steps up to the completion of the merged new data record 60.
  • a conversion 12 is used to standardize the format of individual data records 10a, 10b, 10c, 10d from several data sources 10.
  • the individual data records 10a, 10b, 10c, 10d are available in different formats before conversion by individually adapted converters 12a, 12b, 12c, 12d. This means that they describe certain sections of the route in different ways. For example, the data record 10a describes a distance on the basis of absolute route kilometers, whereas data record 10b describes distances only relatively between two stops.
  • the converters 12a, 12b, 12c, 12d fulfill the task of converting all data records to a desired, uniform format.
  • the data records 10a, 10b, 10c, 10d standardized in this way are then merged by means of the data fusion 14 to form a data record in the standard format, as a result of which a data pool 16 is obtained in the standard format.
  • the consolidation 18 of the data pool 16 takes place, redundancies, that is to say overlaps and duplications of data in the data pool 16, being determined and / or corrected.
  • the data pool 20 obtained in this way is then subjected to a general plausibility check 22, which basically checks whether the data records 10a, 10b, 10c, 10d are now linked to a data pool 20 in the correct format and in a suitable form. If necessary, corrections to the data pool 20 are made at this point and / or method steps are carried out again and / or messages are output to a user.
  • a general plausibility check 22 basically checks whether the data records 10a, 10b, 10c, 10d are now linked to a data pool 20 in the correct format and in a suitable form. If necessary, corrections to the data pool 20 are made at this point and / or method steps are carried out again and / or messages are output to a user.
  • the data pool 24 obtained in this way is now linked by means of an application-dependent link 26 with further application-dependent data such as vehicle-specific or route-specific data or specific routes.
  • the data pool 28 linked in this way is then subjected to several checks in order to finally obtain a finished, error-free new data record 60.
  • steps 30, 34, 38, 42 route characteristics are checked in order to ensure that special information has not been changed or deleted by the data fusion 14 to a standard format.
  • the data pool 44 obtained in this way in the standard format is then examined in further checks with regard to peculiarities of the infrastructure.
  • step 46, 50, 54 starting from the data pool 44 in the standard format, the speed limits 46 are first checked, so that it is ensured that the data pool 48 in the standard format contains the necessary and safety-critical speed limits.
  • the correction or addition thereof takes place, for example, by the user, or by the automatic setting of the speed limits using data classified as trustworthy.
  • the height profiles of both route sections can be used to determine whether these two route sections actually cross, or whether there is an underpass through which both route sections run independently of one another .
  • level crossings or bridges are recognized or corrected in this step.
  • This information is corrected or supplemented, for example, by the user, or by automatically setting the transitions, crossing points or stops using the data classified as trustworthy.
  • the generation 58 of application data takes place from the previously created data pool 56 in the standard format.
  • the general information of the data pool 56 is transferred to vehicle-specific new data records 60 in order to be able to transfer them to any vehicles.

Landscapes

  • Engineering & Computer Science (AREA)
  • Mechanical Engineering (AREA)
  • Health & Medical Sciences (AREA)
  • Biomedical Technology (AREA)
  • General Health & Medical Sciences (AREA)
  • Traffic Control Systems (AREA)
  • Information Retrieval, Db Structures And Fs Structures Therefor (AREA)

Claims (12)

  1. Procédé d'établissement d'au moins un nouvel ensemble (60) de données, comportant notamment des données d'infrastructure pour des véhicules,
    dans lequel le procédé a les stades suivants :
    lecture (S1, S2) d'au moins un ensemble de données existant à partir d'au moins une source (10, 10a, 10b, 10c, 10d), dans lequel
    le au moins un ensemble de données existant contient des données, qui décrivent une partie d'infrastructure,
    conversion (12, 12a, 12b, 12c, 12d) du au moins un ensemble de données en au moins un nouvel ensemble (60) de données ayant un format unitaire, dans lequel
    le au moins un nouvel ensemble (60) de données est propre à rendre possible le fonctionnement de véhicules, notamment au moyen d'un soutien par des systèmes d'assistance à la conduite,
    dans lequel
    on effectue une fusion (S5, 14) de données d'au moins deux ensembles de données existants en au moins un nouvel ensemble de données et
    caractérisé en ce que
    l'on effectue une évaluation d'une qualité des ensembles de données, des données déterminées étant identifiées à l'aide de la qualité comme des ensembles de données dignes de confiance pour la fusion qui suit.
  2. Procédé suivant la revendication 1, dans lequel
    on identifie des lacunes de données avant et/ou après la fusion (S5, 14) de données au moyen de deux ensembles de données existants ou du au moins un nouvel ensemble (60) de données et/ou
    on les repère pour le traitement qui suit, et/ou
    on les élimine dans la suite par un calcul de compensation.
  3. Procédé suivant au moins l'une des revendications précédentes, dans lequel la au moins une source (10, 10a, 10b, 10c, 10d) est
    un ensemble de données statistiques existant, et/ou
    un ensemble de données produit dynamiquement.
  4. Procédé suivant au moins l'une des revendications précédentes, dans lequel
    on effectue un contrôle (S3) de vraisemblance d'au moins deux ensembles de données existants ou un contrôle (S6) de vraisemblance du au moins un nouvel ensemble (60) de données, dans lequel
    on effectue le contrôle, en outre, par rapport à au moins un ensemble de données digne de confiance, dans lequel
    le au moins un ensemble de données digne de confiance provient d'une source (10, 10a, 10b, 10c, 10d) des ensembles de données qui sont lus et/ou
    a été rendu accessible spécialement en vue de ce contrôle.
  5. Procédé suivant au moins l'une des revendications précédentes, dans lequel
    le soutien par des systèmes d'assistance à la conduite inclut le fonctionnement autonome des véhicules.
  6. Procédé suivant au moins l'une des revendications précédentes, dans lequel
    les informations d'infrastructure contiennent des informations sur un réseau de voies.
  7. Procédé suivant la revendication 6, dans lequel
    les véhicules sont des véhicules guidés sur rail.
  8. Procédé suivant la revendication 6 ou 7, dans lequel
    les véhicules sont des véhicules ferroviaires et le réseau de voies est un réseau ferroviaire.
  9. Produit de programme d'ordinateur ayant des codes de programme mis en mémoire sur un support déchiffrable par ordinateur pour effectuer le procédé suivant l'une des revendications 1 à 8.
  10. Système à monter dans un véhicule ou dans un dispositif sur la voie, qui est constitué pour effectuer le procédé suivant l'une des revendications 1 à 8.
  11. Système suivant la revendication 10, dans lequel
    le système a au moins une interface appropriée avec le véhicule ou le dispositif sur la voie, qui est adapté pour déterminer les données nécessaires au procédé suivant l'une des revendications 1 à 8.
  12. Système suivant la revendication 10 ou 11, dans lequel
    le système a au moins une interface accessible à un utilisateur de manière à ce que
    l'utilisateur puisse par cette interface transmettre des informations supplémentaires et/ou des données statiques ou dynamiques au système.
EP18166626.4A 2017-04-13 2018-04-10 Fusion de données liées à l'infrastructure, en particulier de données liées à l'infrastructure pour véhicules ferroviaires Revoked EP3388307B1 (fr)

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
DE102017206446.3A DE102017206446A1 (de) 2017-04-13 2017-04-13 Fusion von infrastrukturbezogenen Daten, insbesondere von infrastrukturbezogenen Daten für Schienenfahrzeuge

Publications (3)

Publication Number Publication Date
EP3388307A2 EP3388307A2 (fr) 2018-10-17
EP3388307A3 EP3388307A3 (fr) 2018-11-14
EP3388307B1 true EP3388307B1 (fr) 2021-10-20

Family

ID=61972324

Family Applications (1)

Application Number Title Priority Date Filing Date
EP18166626.4A Revoked EP3388307B1 (fr) 2017-04-13 2018-04-10 Fusion de données liées à l'infrastructure, en particulier de données liées à l'infrastructure pour véhicules ferroviaires

Country Status (2)

Country Link
EP (1) EP3388307B1 (fr)
DE (1) DE102017206446A1 (fr)

Families Citing this family (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
DE102017206446A1 (de) 2017-04-13 2018-10-18 Knorr-Bremse Systeme für Schienenfahrzeuge GmbH Fusion von infrastrukturbezogenen Daten, insbesondere von infrastrukturbezogenen Daten für Schienenfahrzeuge
CN110497938A (zh) * 2019-08-26 2019-11-26 湖南中车时代通信信号有限公司 一种用于列车运行监控系统的质量实时监测诊断方法、装置以及计算机可读存储介质
EP3812239B1 (fr) * 2019-10-21 2023-10-04 Siemens Mobility GmbH Plateforme assistée par ordinateur permettant de représenter une infrastructure ferroviaire et son procédé de fonctionnement
CN117529935A (zh) * 2021-06-22 2024-02-06 华为技术有限公司 车路协同的通信、数据处理方法、探测系统及融合装置

Citations (18)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP0736441A1 (fr) 1995-04-07 1996-10-09 Honeywell Ag Plateforme de train à tolérance de fautes
EP0825418A2 (fr) 1996-08-19 1998-02-25 Siemens Aktiengesellschaft Méthode pour la détection de la position d'un objet à tolérance de fautes
WO2004028881A1 (fr) 2002-09-23 2004-04-08 Siemens Aktiengesellschaft Systeme de capteurs et procede de surveillance de la voie de circulation d'une unite mobile
DE10254806A1 (de) 2002-11-22 2004-06-17 Robert Bosch Gmbh Verfahren zur Informationsverarbeitung
DE10338234A1 (de) 2003-08-14 2004-09-23 Siemens Ag Verfahren zur Ortung eines bewegten Objekts
DE102005046456A1 (de) 2005-09-20 2007-03-29 Siemens Ag Verfahren zur Bestimmung des Orts und/oder einer Bewegungsgröße von sich bewegenden Objekten, insbesondere von sich bewegenden spurgebundenen Fahrzeugen
DE102006035597A1 (de) 2006-07-27 2008-01-31 Siemens Ag Verfahren zur Bestimmung des Fahrwegs und der Geschwindigkeit eines Fahrzeugs, insbesondere für sicherheitskritische Zugbeeinflussungssysteme
DE102008015107A1 (de) 2008-03-19 2009-11-05 Breuer Nachrichtentechnik Gmbh Qualitätskontrolle bei der GNSS Navigation
US20100063734A1 (en) 2008-09-11 2010-03-11 Ajith Kuttannair Kumar System and method for verifying track database information
DE102009006085A1 (de) 2009-01-26 2010-07-29 Voith Patent Gmbh Verfahren zur Erfassung von Streckendaten
WO2012007822A1 (fr) 2010-07-12 2012-01-19 Telespazio S.P.A. Système de localisation de trains avec vérification en temps réel de l'intégrité de l'évaluation de position
DE102010050167A1 (de) 2010-10-30 2012-05-03 Audi Ag Verfahren und Vorrichtung zur Bestimmung eines plausiblen Fahrstreifens zur Führung eines Fahrzeugs sowie Kraftwagen
DE102012219631A1 (de) 2012-10-26 2014-04-30 Robert Bosch Gmbh Verfahren und Vorrichtung zum Detektieren von zumindest einer Fahrbahnunebenheit
DE102012107918A1 (de) 2012-08-22 2014-05-15 Deutsches Zentrum für Luft- und Raumfahrt e.V. Schienenfahrzeug-Ortungssystem und Schienenfahrzeug mit einem solchen Ortungssystem
DE102014211168A1 (de) 2014-06-11 2015-12-17 Continental Teves Ag & Co. Ohg Verfahren und System zur Verifizierung von Messdaten
DE102015006073A1 (de) 2015-05-09 2016-02-18 Daimler Ag Verfahren zur Positionsbestimmung
WO2017215777A2 (fr) 2016-06-13 2017-12-21 Plasser & Theurer Export Von Bahnbaumaschinen Gesellschaft M.B.H. Procédé et système d'entretien d'une voie de communication pour véhicules ferroviaires
DE102017206446A1 (de) 2017-04-13 2018-10-18 Knorr-Bremse Systeme für Schienenfahrzeuge GmbH Fusion von infrastrukturbezogenen Daten, insbesondere von infrastrukturbezogenen Daten für Schienenfahrzeuge

Family Cites Families (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US9607446B2 (en) * 2013-09-18 2017-03-28 Global Patent Operation System and method for identifying damaged sections of a route

Patent Citations (19)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP0736441A1 (fr) 1995-04-07 1996-10-09 Honeywell Ag Plateforme de train à tolérance de fautes
EP0825418A2 (fr) 1996-08-19 1998-02-25 Siemens Aktiengesellschaft Méthode pour la détection de la position d'un objet à tolérance de fautes
WO2004028881A1 (fr) 2002-09-23 2004-04-08 Siemens Aktiengesellschaft Systeme de capteurs et procede de surveillance de la voie de circulation d'une unite mobile
DE10254806A1 (de) 2002-11-22 2004-06-17 Robert Bosch Gmbh Verfahren zur Informationsverarbeitung
DE10338234A1 (de) 2003-08-14 2004-09-23 Siemens Ag Verfahren zur Ortung eines bewegten Objekts
DE102005046456A1 (de) 2005-09-20 2007-03-29 Siemens Ag Verfahren zur Bestimmung des Orts und/oder einer Bewegungsgröße von sich bewegenden Objekten, insbesondere von sich bewegenden spurgebundenen Fahrzeugen
DE102006035597A1 (de) 2006-07-27 2008-01-31 Siemens Ag Verfahren zur Bestimmung des Fahrwegs und der Geschwindigkeit eines Fahrzeugs, insbesondere für sicherheitskritische Zugbeeinflussungssysteme
DE102008015107A1 (de) 2008-03-19 2009-11-05 Breuer Nachrichtentechnik Gmbh Qualitätskontrolle bei der GNSS Navigation
US20100063734A1 (en) 2008-09-11 2010-03-11 Ajith Kuttannair Kumar System and method for verifying track database information
DE102009006085A1 (de) 2009-01-26 2010-07-29 Voith Patent Gmbh Verfahren zur Erfassung von Streckendaten
WO2012007822A1 (fr) 2010-07-12 2012-01-19 Telespazio S.P.A. Système de localisation de trains avec vérification en temps réel de l'intégrité de l'évaluation de position
DE102010050167A1 (de) 2010-10-30 2012-05-03 Audi Ag Verfahren und Vorrichtung zur Bestimmung eines plausiblen Fahrstreifens zur Führung eines Fahrzeugs sowie Kraftwagen
US20120277990A1 (en) 2010-10-30 2012-11-01 Audi Ag Method and apparatus for determining a plausible lane for guiding a vehicle and an automobile
DE102012107918A1 (de) 2012-08-22 2014-05-15 Deutsches Zentrum für Luft- und Raumfahrt e.V. Schienenfahrzeug-Ortungssystem und Schienenfahrzeug mit einem solchen Ortungssystem
DE102012219631A1 (de) 2012-10-26 2014-04-30 Robert Bosch Gmbh Verfahren und Vorrichtung zum Detektieren von zumindest einer Fahrbahnunebenheit
DE102014211168A1 (de) 2014-06-11 2015-12-17 Continental Teves Ag & Co. Ohg Verfahren und System zur Verifizierung von Messdaten
DE102015006073A1 (de) 2015-05-09 2016-02-18 Daimler Ag Verfahren zur Positionsbestimmung
WO2017215777A2 (fr) 2016-06-13 2017-12-21 Plasser & Theurer Export Von Bahnbaumaschinen Gesellschaft M.B.H. Procédé et système d'entretien d'une voie de communication pour véhicules ferroviaires
DE102017206446A1 (de) 2017-04-13 2018-10-18 Knorr-Bremse Systeme für Schienenfahrzeuge GmbH Fusion von infrastrukturbezogenen Daten, insbesondere von infrastrukturbezogenen Daten für Schienenfahrzeuge

Non-Patent Citations (8)

* Cited by examiner, † Cited by third party
Title
ANONYMOUS: "Daten", 21 May 2023 (2023-05-21), pages 1 - 10, XP093140882, Retrieved from the Internet <URL:https://de.wikipedia.org/w/index.php?title=Daten&oldid=233918116> [retrieved on 20240313]
ANONYMOUS: "Datenfusion", WIKIPEDIA, 24 February 2021 (2021-02-24), pages 1 - 3, XP055948381, [retrieved on 20220803]
ANONYMOUS: "Datensatz", 26 May 2023 (2023-05-26), pages 1 - 4, XP093140877, Retrieved from the Internet <URL:https://de.wikipedia.org/w/index.php?title=Datensatz&oldid=232203327> [retrieved on 20240313]
ANONYMOUS: "Zustandsuberwachung im regularen Betrieb", DER EISENBAHNINGENIEUR, 1 September 2016 (2016-09-01), pages 114 - 120, XP055487093
ANONYMOUS: "Zustandsüberwachung im regulären Betrieb", DER EISENBAHNINGENIEUR, 1 September 2016 (2016-09-01), pages 114 - 120, XP055487093
GROOS, JÖRN C.: "Zustandsüberwachung im regulären Betrieb", EL - DER EISENBAHNINGENIEUR, September 2016 (2016-09-01), pages 114 - 120, XP055487093
LUCAS ANDREAS | SCHUBERT ET AL.: "Zentralisiertes Management von Geodaten im Schienenverkehr - Centralised management of geodata for railway applications", SIGNAL + DRAHT, vol. 108, no. 12, 9 December 2016 (2016-12-09), pages 6 - 14, XP055340166
SCHUBERT LUCAS ANDREAS, RAHMIG CHRISTIAN, SCHOLZ MICHAEL, BÖHM THOMAS: "Zentralisiertes Management von Geodaten im Schienenverkehr - Centralised management of geodata for railway applications", SIGNAL + DRAHT, vol. 108, no. 12, 9 December 2016 (2016-12-09), pages 6 - 14, XP055340166

Also Published As

Publication number Publication date
DE102017206446A1 (de) 2018-10-18
EP3388307A3 (fr) 2018-11-14
EP3388307A2 (fr) 2018-10-17

Similar Documents

Publication Publication Date Title
EP3388307B1 (fr) Fusion de données liées à l&#39;infrastructure, en particulier de données liées à l&#39;infrastructure pour véhicules ferroviaires
DE102017213217A1 (de) Testfahrtszenario-Datenbanksystem für realitätsnahe virtuelle Testfahrtszenarien
WO2018087343A1 (fr) Procédé de commande d&#39;un système de moyens de transport, système de traitement de données
EP4128187A1 (fr) Procédé et dispositif d&#39;identification de zones de danger potentielles dans la circulation routière
WO2019072524A1 (fr) Procédé pour cartographier un tronçon de route
EP4027245A1 (fr) Procédé mis en uvre par ordinateur destiné à la détermination des valeurs de similitude des scénarios de circulation
EP3938266A1 (fr) Procédé et produit-programme d&#39;ordinateur de reconnaissance de symboles de signalisation pour la commande de circulation de véhicules guidés ainsi que système de reconnaissance de symboles de signalisation et véhicule guidé, en particulier véhicule ferroviaire
WO2018036759A1 (fr) Prévision de parcours de train
EP3968213A1 (fr) Procédé de détermination d&#39;un chemin ferroviaire dans une voie ferrée et dispositif de mise en uvre dudit procédé
EP2025574A2 (fr) Procédé et dispositif de surveillance d&#39;un fonctionnement d&#39;un véhicule, en particulier d&#39;un véhicule sur rail
DE102021212493A1 (de) Verfahren zum infrastrukturgestützten Assistieren eines Kraftfahrzeugs
DE3707497A1 (de) Einrichtung zum uebermitteln von informationen
WO2022096236A1 (fr) Procédé de détermination d&#39;une probabilité d&#39;existence d&#39;un élément potentiel dans un environnement d&#39;un véhicule à moteur, système d&#39;aide à la conduite et véhicule à moteur
EP4182202A1 (fr) Base de données répartie et ouverte utilisée pour l&#39;acquisition dynamique du réseau de lignes de chemin de fer et ses structures
DE60117204T2 (de) Verfahren und Vorrichtung zum Überprüfen, Verändern, Verwalten und Planen von Gleisoberbauten für Untergrund-, Strassenbahn- und Eisenbahnlinien und ähnlichem
DE202020103122U1 (de) System zum Steuern der Anzeige einer grafischen Benutzeroberfläche in Verbindung mit einem Fahrzeug mit Fahrassistenzfunktionen
EP3866135B1 (fr) Procédé de commande d&#39;une installation de signalisation lumineuse
DE102017216844B4 (de) Verfahren zur Identifizierung von Langsamfahrstellen auf einer Strecke
DE102022003360B3 (de) Verfahren zur Generierung von Trainingsdatensätzen für ein autonomes Fahrzeug und System zur Generierung von Trainingsdatensätzen
DE102017205939A1 (de) Automatische Generierung von Infrastrukturdaten für ein Streckennetz
DE102022002337B3 (de) Verfahren zur Ermittlung und Bereitstellung einer zulässigen Höchstgeschwindigkeit für Fahrzeuge und Verwendung des Verfahrens
EP4342765A1 (fr) Contrôle d&#39;intégrité de train
DE102009015841A1 (de) Verfahren zur Prognostizierung eines Kraftstoffverbrauches und/oder eines Verschleißes eines Funktionsbauteiles eines Fahrzeuges
DE102023002195A1 (de) Verfahren zur Aktualisierung einer digitalen Karte
WO2023237424A1 (fr) Procédé et système d&#39;assistance pour prédire un trajet de conduite, et véhicule à moteur

Legal Events

Date Code Title Description
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: THE APPLICATION HAS BEEN PUBLISHED

PUAL Search report despatched

Free format text: ORIGINAL CODE: 0009013

AK Designated contracting states

Kind code of ref document: A2

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

AX Request for extension of the european patent

Extension state: BA ME

AK Designated contracting states

Kind code of ref document: A3

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

AX Request for extension of the european patent

Extension state: BA ME

RIC1 Information provided on ipc code assigned before grant

Ipc: B61L 3/00 20060101ALI20181005BHEP

Ipc: B61L 27/00 20060101AFI20181005BHEP

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: 20190514

RBV Designated contracting states (corrected)

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

GRAP Despatch of communication of intention to grant a patent

Free format text: ORIGINAL CODE: EPIDOSNIGR1

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

Free format text: STATUS: GRANT OF PATENT IS INTENDED

INTG Intention to grant announced

Effective date: 20210518

RAP3 Party data changed (applicant data changed or rights of an application transferred)

Owner name: KNORR-BREMSEN SYSTEME FUER SCHINENFAHRZEUGE GMBH

GRAS Grant fee paid

Free format text: ORIGINAL CODE: EPIDOSNIGR3

GRAA (expected) grant

Free format text: ORIGINAL CODE: 0009210

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

Free format text: STATUS: THE PATENT HAS BEEN GRANTED

RAP3 Party data changed (applicant data changed or rights of an application transferred)

Owner name: KNORR-BREMSE SYSTEME FUER SCHIENENFAHRZEUGE GMBH

AK Designated contracting states

Kind code of ref document: B1

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

REG Reference to a national code

Ref country code: GB

Ref legal event code: FG4D

Free format text: NOT ENGLISH

REG Reference to a national code

Ref country code: CH

Ref legal event code: EP

REG Reference to a national code

Ref country code: DE

Ref legal event code: R096

Ref document number: 502018007479

Country of ref document: DE

REG Reference to a national code

Ref country code: IE

Ref legal event code: FG4D

Free format text: LANGUAGE OF EP DOCUMENT: GERMAN

REG Reference to a national code

Ref country code: AT

Ref legal event code: REF

Ref document number: 1439714

Country of ref document: AT

Kind code of ref document: T

Effective date: 20211115

REG Reference to a national code

Ref country code: SE

Ref legal event code: TRGR

REG Reference to a national code

Ref country code: LT

Ref legal event code: MG9D

REG Reference to a national code

Ref country code: NL

Ref legal event code: MP

Effective date: 20211020

PG25 Lapsed in a contracting state [announced via postgrant information from national office to epo]

Ref country code: RS

Free format text: LAPSE BECAUSE OF FAILURE TO SUBMIT A TRANSLATION OF THE DESCRIPTION OR TO PAY THE FEE WITHIN THE PRESCRIBED TIME-LIMIT

Effective date: 20211020

Ref country code: LT

Free format text: LAPSE BECAUSE OF FAILURE TO SUBMIT A TRANSLATION OF THE DESCRIPTION OR TO PAY THE FEE WITHIN THE PRESCRIBED TIME-LIMIT

Effective date: 20211020

Ref country code: FI

Free format text: LAPSE BECAUSE OF FAILURE TO SUBMIT A TRANSLATION OF THE DESCRIPTION OR TO PAY THE FEE WITHIN THE PRESCRIBED TIME-LIMIT

Effective date: 20211020

Ref country code: BG

Free format text: LAPSE BECAUSE OF FAILURE TO SUBMIT A TRANSLATION OF THE DESCRIPTION OR TO PAY THE FEE WITHIN THE PRESCRIBED TIME-LIMIT

Effective date: 20220120

PG25 Lapsed in a contracting state [announced via postgrant information from national office to epo]

Ref country code: IS

Free format text: LAPSE BECAUSE OF FAILURE TO SUBMIT A TRANSLATION OF THE DESCRIPTION OR TO PAY THE FEE WITHIN THE PRESCRIBED TIME-LIMIT

Effective date: 20220220

Ref country code: PT

Free format text: LAPSE BECAUSE OF FAILURE TO SUBMIT A TRANSLATION OF THE DESCRIPTION OR TO PAY THE FEE WITHIN THE PRESCRIBED TIME-LIMIT

Effective date: 20220221

Ref country code: PL

Free format text: LAPSE BECAUSE OF FAILURE TO SUBMIT A TRANSLATION OF THE DESCRIPTION OR TO PAY THE FEE WITHIN THE PRESCRIBED TIME-LIMIT

Effective date: 20211020

Ref country code: NO

Free format text: LAPSE BECAUSE OF FAILURE TO SUBMIT A TRANSLATION OF THE DESCRIPTION OR TO PAY THE FEE WITHIN THE PRESCRIBED TIME-LIMIT

Effective date: 20220120

Ref country code: NL

Free format text: LAPSE BECAUSE OF FAILURE TO SUBMIT A TRANSLATION OF THE DESCRIPTION OR TO PAY THE FEE WITHIN THE PRESCRIBED TIME-LIMIT

Effective date: 20211020

Ref country code: LV

Free format text: LAPSE BECAUSE OF FAILURE TO SUBMIT A TRANSLATION OF THE DESCRIPTION OR TO PAY THE FEE WITHIN THE PRESCRIBED TIME-LIMIT

Effective date: 20211020

Ref country code: HR

Free format text: LAPSE BECAUSE OF FAILURE TO SUBMIT A TRANSLATION OF THE DESCRIPTION OR TO PAY THE FEE WITHIN THE PRESCRIBED TIME-LIMIT

Effective date: 20211020

Ref country code: GR

Free format text: LAPSE BECAUSE OF FAILURE TO SUBMIT A TRANSLATION OF THE DESCRIPTION OR TO PAY THE FEE WITHIN THE PRESCRIBED TIME-LIMIT

Effective date: 20220121

Ref country code: ES

Free format text: LAPSE BECAUSE OF FAILURE TO SUBMIT A TRANSLATION OF THE DESCRIPTION OR TO PAY THE FEE WITHIN THE PRESCRIBED TIME-LIMIT

Effective date: 20211020

REG Reference to a national code

Ref country code: DE

Ref legal event code: R026

Ref document number: 502018007479

Country of ref document: DE

PLBI Opposition filed

Free format text: ORIGINAL CODE: 0009260

PG25 Lapsed in a contracting state [announced via postgrant information from national office to epo]

Ref country code: SM

Free format text: LAPSE BECAUSE OF FAILURE TO SUBMIT A TRANSLATION OF THE DESCRIPTION OR TO PAY THE FEE WITHIN THE PRESCRIBED TIME-LIMIT

Effective date: 20211020

Ref country code: SK

Free format text: LAPSE BECAUSE OF FAILURE TO SUBMIT A TRANSLATION OF THE DESCRIPTION OR TO PAY THE FEE WITHIN THE PRESCRIBED TIME-LIMIT

Effective date: 20211020

Ref country code: RO

Free format text: LAPSE BECAUSE OF FAILURE TO SUBMIT A TRANSLATION OF THE DESCRIPTION OR TO PAY THE FEE WITHIN THE PRESCRIBED TIME-LIMIT

Effective date: 20211020

Ref country code: EE

Free format text: LAPSE BECAUSE OF FAILURE TO SUBMIT A TRANSLATION OF THE DESCRIPTION OR TO PAY THE FEE WITHIN THE PRESCRIBED TIME-LIMIT

Effective date: 20211020

Ref country code: DK

Free format text: LAPSE BECAUSE OF FAILURE TO SUBMIT A TRANSLATION OF THE DESCRIPTION OR TO PAY THE FEE WITHIN THE PRESCRIBED TIME-LIMIT

Effective date: 20211020

Ref country code: CZ

Free format text: LAPSE BECAUSE OF FAILURE TO SUBMIT A TRANSLATION OF THE DESCRIPTION OR TO PAY THE FEE WITHIN THE PRESCRIBED TIME-LIMIT

Effective date: 20211020

PLAB Opposition data, opponent's data or that of the opponent's representative modified

Free format text: ORIGINAL CODE: 0009299OPPO

PLAX Notice of opposition and request to file observation + time limit sent

Free format text: ORIGINAL CODE: EPIDOSNOBS2

26 Opposition filed

Opponent name: TRACK MACHINES CONNECTED GESELLSCHAFT M.B.H.

Effective date: 20220718

Opponent name: DEUTSCHE BAHN AG

Effective date: 20220719

Opponent name: SIEMENS MOBILITY GMBH

Effective date: 20220720

R26 Opposition filed (corrected)

Opponent name: SIEMENS MOBILITY GMBH

Effective date: 20220720

PG25 Lapsed in a contracting state [announced via postgrant information from national office to epo]

Ref country code: AL

Free format text: LAPSE BECAUSE OF FAILURE TO SUBMIT A TRANSLATION OF THE DESCRIPTION OR TO PAY THE FEE WITHIN THE PRESCRIBED TIME-LIMIT

Effective date: 20211020

PG25 Lapsed in a contracting state [announced via postgrant information from national office to epo]

Ref country code: SI

Free format text: LAPSE BECAUSE OF FAILURE TO SUBMIT A TRANSLATION OF THE DESCRIPTION OR TO PAY THE FEE WITHIN THE PRESCRIBED TIME-LIMIT

Effective date: 20211020

PLBB Reply of patent proprietor to notice(s) of opposition received

Free format text: ORIGINAL CODE: EPIDOSNOBS3

GBPC Gb: european patent ceased through non-payment of renewal fee

Effective date: 20220410

REG Reference to a national code

Ref country code: BE

Ref legal event code: MM

Effective date: 20220430

PG25 Lapsed in a contracting state [announced via postgrant information from national office to epo]

Ref country code: MC

Free format text: LAPSE BECAUSE OF FAILURE TO SUBMIT A TRANSLATION OF THE DESCRIPTION OR TO PAY THE FEE WITHIN THE PRESCRIBED TIME-LIMIT

Effective date: 20211020

Ref country code: LU

Free format text: LAPSE BECAUSE OF NON-PAYMENT OF DUE FEES

Effective date: 20220410

Ref country code: GB

Free format text: LAPSE BECAUSE OF NON-PAYMENT OF DUE FEES

Effective date: 20220410

PLAB Opposition data, opponent's data or that of the opponent's representative modified

Free format text: ORIGINAL CODE: 0009299OPPO

PG25 Lapsed in a contracting state [announced via postgrant information from national office to epo]

Ref country code: BE

Free format text: LAPSE BECAUSE OF NON-PAYMENT OF DUE FEES

Effective date: 20220430

R26 Opposition filed (corrected)

Opponent name: SIEMENS MOBILITY GMBH

Effective date: 20220720

PG25 Lapsed in a contracting state [announced via postgrant information from national office to epo]

Ref country code: IE

Free format text: LAPSE BECAUSE OF NON-PAYMENT OF DUE FEES

Effective date: 20220410

PG25 Lapsed in a contracting state [announced via postgrant information from national office to epo]

Ref country code: IT

Free format text: LAPSE BECAUSE OF FAILURE TO SUBMIT A TRANSLATION OF THE DESCRIPTION OR TO PAY THE FEE WITHIN THE PRESCRIBED TIME-LIMIT

Effective date: 20211020

P01 Opt-out of the competence of the unified patent court (upc) registered

Effective date: 20230523

PGFP Annual fee paid to national office [announced via postgrant information from national office to epo]

Ref country code: FR

Payment date: 20230417

Year of fee payment: 6

Ref country code: DE

Payment date: 20230418

Year of fee payment: 6

Ref country code: CH

Payment date: 20230502

Year of fee payment: 6

PGFP Annual fee paid to national office [announced via postgrant information from national office to epo]

Ref country code: SE

Payment date: 20230419

Year of fee payment: 6

Ref country code: AT

Payment date: 20230414

Year of fee payment: 6

REG Reference to a national code

Ref country code: DE

Ref legal event code: R103

Ref document number: 502018007479

Country of ref document: DE

Ref country code: DE

Ref legal event code: R064

Ref document number: 502018007479

Country of ref document: DE

RDAF Communication despatched that patent is revoked

Free format text: ORIGINAL CODE: EPIDOSNREV1

PG25 Lapsed in a contracting state [announced via postgrant information from national office to epo]

Ref country code: HU

Free format text: LAPSE BECAUSE OF FAILURE TO SUBMIT A TRANSLATION OF THE DESCRIPTION OR TO PAY THE FEE WITHIN THE PRESCRIBED TIME-LIMIT; INVALID AB INITIO

Effective date: 20180410

RDAG Patent revoked

Free format text: ORIGINAL CODE: 0009271

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

Free format text: STATUS: PATENT REVOKED

PG25 Lapsed in a contracting state [announced via postgrant information from national office to epo]

Ref country code: MK

Free format text: LAPSE BECAUSE OF FAILURE TO SUBMIT A TRANSLATION OF THE DESCRIPTION OR TO PAY THE FEE WITHIN THE PRESCRIBED TIME-LIMIT

Effective date: 20211020

Ref country code: CY

Free format text: LAPSE BECAUSE OF FAILURE TO SUBMIT A TRANSLATION OF THE DESCRIPTION OR TO PAY THE FEE WITHIN THE PRESCRIBED TIME-LIMIT

Effective date: 20211020

REG Reference to a national code

Ref country code: CH

Ref legal event code: PL

27W Patent revoked

Effective date: 20231122