EP3991145A1 - Verfahren, computerprogramm und vorrichtung zur verarbeitung von durch ein kraftfahrzeug erfassten daten - Google Patents
Verfahren, computerprogramm und vorrichtung zur verarbeitung von durch ein kraftfahrzeug erfassten datenInfo
- Publication number
- EP3991145A1 EP3991145A1 EP20731401.4A EP20731401A EP3991145A1 EP 3991145 A1 EP3991145 A1 EP 3991145A1 EP 20731401 A EP20731401 A EP 20731401A EP 3991145 A1 EP3991145 A1 EP 3991145A1
- Authority
- EP
- European Patent Office
- Prior art keywords
- motor vehicle
- obfuscation
- data
- interval
- segments
- 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
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
- G06—COMPUTING OR CALCULATING; COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/50—Context or environment of the image
- G06V20/56—Context or environment of the image exterior to a vehicle by using sensors mounted on the vehicle
- G06V20/58—Recognition of moving objects or obstacles, e.g. vehicles or pedestrians; Recognition of traffic objects, e.g. traffic signs, traffic lights or roads
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/10—Segmentation; Edge detection
-
- 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
- G08G1/0108—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]
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W12/00—Security arrangements; Authentication; Protecting privacy or anonymity
- H04W12/02—Protecting privacy or anonymity, e.g. protecting personally identifiable information [PII]
Definitions
- the present invention relates to a method, a computer program with instructions and a device for processing data recorded by a motor vehicle.
- the invention also relates to a motor vehicle and a backend in which a
- data can be taken from the motor vehicle and sent to a backend.
- data from vehicle sensors can be based on location and time
- Traffic flow data are extracted.
- the data is then combined with other data on a card and fed back to the functions using it.
- the data taken from a vehicle may, however, allow conclusions to be drawn about the personal or factual circumstances of a specific or at least identifiable natural person, for example about the driver of the motor vehicle. Such a collection and use of the data is in accordance with the applicable
- the data can be different
- the aim of this anonymization process is to hide the identity of the data producer in an anonymization group.
- DE 10 2011 106 295 A1 describes a method for
- traffic data that describe a traffic condition and originate from the motor vehicles are provided to a service provider. This is done exclusively via a backend server device operated by a security operator. The traffic data is anonymized by means of the backend server device before it is transmitted to the service provider.
- Another approach to anonymization involves segmenting the data.
- the data of a vehicle is divided into different segments while driving. In this way it is ensured that possible data users cannot determine the complete data record of the journey of the vehicle.
- Another approach to anonymization is to obscure the location or time of the data. The data is randomly shifted additively in space or in time. In this way, the original vehicle can only be identified in relation to a group of vehicles.
- DE 10 2016 225 287 A1 describes a method for
- a date recorded by a motor vehicle is received.
- a local or temporal obfuscation is then applied to the received date.
- the obfuscated date is finally passed on for evaluation.
- the data received can be concealed within the motor vehicle or in a receiving system connected to the motor vehicle.
- DE 10 2018 006 281 L1 describes a method for operating an assistance system of a vehicle.
- objects are detected in the surroundings of the vehicle.
- a system action is triggered if an entry for the object is contained in a database which marks the system action as authorized.
- the data is anonymized to the effect that identification data is removed and spatial obfuscation is carried out.
- a method for processing data recorded by a motor vehicle comprises the steps:
- a computer program contains instructions which, when executed by a computer, cause the computer to carry out the following steps for processing data recorded by a motor vehicle:
- Controllers workstations and other processor-based data processing devices.
- the computer program can, for example, be provided for electronic retrieval or be stored on a computer-readable storage medium.
- a device for processing data recorded by a motor vehicle has:
- an anonymization unit for applying a temporal obfuscation to the received date, with a temporally segmented one for the temporal obfuscation
- Obfuscation segmented and distributed or the measurements shifted so that the data are stable within a desired interval.
- the obfuscation interval is based on the observation that the traffic situation is often repeated periodically. If the temporal obfuscation requires a shift in the measurement time within an interval of 90 minutes, for example, during the If a time shift of no more than 30 minutes is accepted for data requests, the 90-minute obfuscation interval can be divided into several segments with a length of no more than 30 minutes each. Each of these segments includes one of the mentioned periodic repetitions of the traffic situation. In this way it is possible to reconcile the inherently contrary conditions of the required obfuscation and the avoidance of excessive data devaluation. All that is required is knowledge of the periodicity of the traffic situation.Examples of a periodic traffic situation are rush hour traffic and commuter traffic, whereby an identical or very similar traffic situation can occur at least locally several times a day, including arrival and departure traffic
- Obfuscation interval on different days For example, it can be assumed that the traffic situation repeats itself daily, in particular the
- Rush hour traffic or commuter traffic so that the situations over the days are identical or at least very similar.
- the different days do not necessarily have to follow one another; days can also be disregarded. It can also be provided that the segments are each on the same day of the week, i.e. be a week apart. However, this delays the provision of the data for a corresponding period of time.
- the segments of the time-segmented obfuscation interval are distributed over different days
- weekends, holidays or recurring events are taken into account.
- the phenomena sought only e.g. occur on weekdays. If the segments are distributed, holidays, weekends, etc. can be omitted from the distribution of the segments and thus from measurements.
- Another possibility, when observing effects that are related to special events, is to select only days on which the events or comparable events take place. For example, should effects be related to a major sporting experience, e.g. a soccer game, all measurements can be reduced to the data of the events, e.g. on all home games of the team
- Obfuscation interval have the same starting time.
- the individual segments can be designed with the correct time of day, ie they all begin at an identical point in time. This increases the likelihood that the traffic situation is actually identical or very similar. However, it is not necessary to use the same start time.
- Start time can be used for the corresponding segment. If the segments are to cover a completely identical period of time, the segments of the time-segmented obfuscation interval also have the same length in addition to the same starting time.
- Group anonymity is determined.
- the group anonymity to be achieved determines how many vehicles are required to carry out a measurement analogous to the vehicle in question. Are e.g. If 100 vehicles are required to achieve group anonymity, the obfuscation interval is selected so that these 100 vehicles are recorded within the interval. If the obfuscation interval is divided into segments, it must now be ensured that these 100 vehicles are also recorded in total in the segments. Assuming an identical traffic density in each case, this means that the length of the segments in total corresponds to the length of the original obfuscation interval.
- a method according to the invention or one according to the invention is preferably used
- the solution according to the invention can also be used in a backend to which the data is transmitted from the vehicle.
- FIG. 1 shows schematically a method for processing data recorded by a motor vehicle
- FIG. 2 shows a first embodiment of a device for processing data recorded by a motor vehicle
- 3 shows a second embodiment of a device for processing data captured by a motor vehicle
- 5 illustrates a temporal segmentation of a concealment interval.
- FIG. 1 shows schematically a method for processing data acquired by a motor vehicle.
- a date recorded by a motor vehicle is received 10.
- a temporal concealment is then applied to the received date 11.
- a concealment interval segmented over time is used for the temporal concealment.
- the concealed date is finally passed on for further processing. 12
- the obfuscation interval can be the same or different days.
- the segments can have the same start time and / or the same length. Preferably they have
- Segments in total have a length that is determined by the group anonymity to be achieved.
- FIG. 2 shows a simplified schematic illustration of a first embodiment of a device 20 for processing data acquired by a motor vehicle
- the Device 20 has an input 21 for receiving a date D recorded by the motor vehicle.
- An anonymization unit 23 applies a temporal concealment to the received date.
- the parameters required for the temporal concealment are determined and provided by a data processing unit 22.
- the concealed data VD is finally passed on via an output 25 for further processing.
- the segments of the time-segmented obfuscation interval can be on the same day or on different days. If the segments are distributed over different days Weekends, public holidays or recurring events are preferably taken into account.
- the segments can have the same start time and / or the same length.
- the total length of the segments is preferably determined by the group anonymity to be achieved.
- the data processing unit 22 and the anonymization unit 23 can be controlled by a control unit 24. Via a user interface 27,
- the data processing unit 22, the anonymization unit 23 or the control unit 24 can be changed.
- the data accumulating in the device 20 can, if required, be stored in a memory 26 of the device 20, for example for a later evaluation or for use by the components of the device 20.
- Control unit 24 can be implemented as dedicated hardware, for example as integrated circuits. Of course, they can also be partially or completely combined or implemented as software that runs on a suitable processor, for example on a GPU.
- the input 21 and the output 25 can be implemented as separate interfaces or as a combined bidirectional interface.
- FIG. 3 shows a simplified schematic illustration of a second embodiment of a device 30 for processing data acquired by a motor vehicle
- Device 30 has a processor 32 and a memory 31.
- the device 30 is a computer, a workstation or a control device.
- Instructions are stored in memory 31 which, when executed by processor 32, cause device 30 to carry out the steps according to one of the described methods.
- the instructions stored in the memory 31 thus embody a program which can be executed by the processor 32 and which implements the method according to the invention.
- the device has an input 33 for receiving information. Data generated by the processor 32 are provided via an output 34. In addition, they can be stored in memory 31.
- the input 33 and the output 34 can be combined to form a bidirectional interface.
- the processor 32 may include one or more processing units, such as microprocessors, digital signal processors, or combinations thereof.
- the memories 26, 31 of the described embodiments can have volatile and / or non-volatile storage areas and a wide variety of storage devices and Storage media include, for example, hard drives, optical storage media or semiconductor memories.
- the two embodiments of the device can be integrated into the motor vehicle or be part of a backend connected to the motor vehicle.
- FIG. 4 schematically shows a motor vehicle 40 in which a solution according to the invention is implemented.
- the motor vehicle 40 has a sensor system 41 with which data D can be recorded, for example a traffic situation. Further components of the
- Motor vehicle 40 are a navigation system 42, a data transmission unit 43 and a number of assistance systems 44, one of which is shown as an example.
- a connection to a backend 50 can be established by means of the data transmission unit 43, in particular for the transmission of captured data.
- a device 20 for processing the recorded data D ensures that the data is concealed over time, so that concealed data VD are transmitted to the backend 50.
- the data D can also only be concealed in the backend 50 before it is made available to a data user by the latter.
- a memory 45 is provided for storing data. The data exchange between the various components of the motor vehicle 40 takes place via a network 46
- FIG. 5 illustrates a time segmentation of a concealment interval V.
- the starting point is, for example, a measurement at a measurement time T M.
- the measurement takes place on a Tuesday at 3:00 p.m.
- the concealment results in a shift in the measurement time within a
- Obfuscation interval V with a length of 90 min required to ensure adequate anonymization. If the measurement is postponed within this obfuscation interval V within a day, it is only important that the measurement has a corresponding temporal uncertainty.
- a shift in an interval from 2:15 p.m. to 3:45 p.m. is just as possible in terms of anonymization as a shift in an interval from 3:00 p.m. to 4:30 p.m.
- the data user requests that the data be concealed in such a way that the time of recording is within the day shifted by no more than 30 minutes so that the traffic situation can be correctly recorded.
- the traffic situation is repeated periodically on every working day at the same time.
- the required obfuscation interval V is therefore divided into different areas or
- Segments V divided and distributed to the corresponding days at the correct time of day.
- the sum of the lengths DT, of the individual segments V corresponds to at least the length of the original obfuscation interval V, the different segments V not necessarily having to have the same length.
- the obfuscation interval V in the example shown was divided into three segments Vi, 2 , V 3 with a length DT 1 , D ⁇ 2 , DT 3 of 30 minutes each.
- the individual segments V 1 , V 2 , V 3 or the starting times AVi, AV2, AV 3 of the segments V 1 , V2, V 3 are each shifted by 24 hours relative to one another. In this way, the corresponding time-of-day-dependent phenomena can be analyzed without the
- Segments V 1 , V 2 , V 3 is of course also one given the given boundary conditions
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Multimedia (AREA)
- Computer Security & Cryptography (AREA)
- Computer Networks & Wireless Communication (AREA)
- Signal Processing (AREA)
- Chemical & Material Sciences (AREA)
- Analytical Chemistry (AREA)
- Traffic Control Systems (AREA)
Abstract
Description
Claims
Applications Claiming Priority (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| DE102019209485.6A DE102019209485A1 (de) | 2019-06-28 | 2019-06-28 | Verfahren, Computerprogramm und Vorrichtung zur Verarbeitung von durch ein Kraftfahrzeug erfassten Daten |
| PCT/EP2020/064084 WO2020259932A1 (de) | 2019-06-28 | 2020-05-20 | Verfahren, computerprogramm und vorrichtung zur verarbeitung von durch ein kraftfahrzeug erfassten daten |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| EP3991145A1 true EP3991145A1 (de) | 2022-05-04 |
Family
ID=71069807
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| EP20731401.4A Pending EP3991145A1 (de) | 2019-06-28 | 2020-05-20 | Verfahren, computerprogramm und vorrichtung zur verarbeitung von durch ein kraftfahrzeug erfassten daten |
Country Status (5)
| Country | Link |
|---|---|
| US (1) | US12131553B2 (de) |
| EP (1) | EP3991145A1 (de) |
| CN (1) | CN114008694B (de) |
| DE (1) | DE102019209485A1 (de) |
| WO (1) | WO2020259932A1 (de) |
Families Citing this family (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| DE102019209485A1 (de) | 2019-06-28 | 2020-12-31 | Volkswagen Aktiengesellschaft | Verfahren, Computerprogramm und Vorrichtung zur Verarbeitung von durch ein Kraftfahrzeug erfassten Daten |
| DE102019209711A1 (de) | 2019-07-02 | 2021-01-07 | Volkswagen Aktiengesellschaft | Verfahren, Computerprogramm und Vorrichtung zur Verarbeitung von durch ein Kraftfahrzeug erfassten Daten, sowie zum Bereitstellen von Parametern für eine solche Verarbeitung |
Family Cites Families (89)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6615135B2 (en) | 2001-05-24 | 2003-09-02 | Prc Inc. | Satellite based on-board vehicle navigation system including predictive filtering and map-matching to reduce errors in a vehicular position |
| US20050069138A1 (en) | 2003-09-25 | 2005-03-31 | Sun Microsystems, Inc., A Delaware Corporation | Application program obfuscation |
| JP3722487B1 (ja) | 2004-05-19 | 2005-11-30 | 本田技研工業株式会社 | 車両用走行区分線認識装置 |
| US20090157566A1 (en) | 2006-03-21 | 2009-06-18 | Bernard Grush | Method and process to ensure that a vehicular travel path recording that includes positional errors can be used to determine a reliable and repeatable road user charge |
| EP2168079B1 (de) | 2007-01-23 | 2015-01-14 | Valeo Schalter und Sensoren GmbH | Verfahren und system zur universellen strassenbegrenzungserkennung |
| US10311446B2 (en) | 2008-12-05 | 2019-06-04 | Nokia Technologies Oy | Method and apparatus for obfuscating context information |
| US20120047087A1 (en) | 2009-03-25 | 2012-02-23 | Waldeck Technology Llc | Smart encounters |
| DE102009003698A1 (de) | 2009-03-30 | 2010-10-07 | Conti Temic Microelectronic Gmbh | Verfahren und Vorrichtung zur Fahrspurerkennung |
| EP2427854B1 (de) | 2009-05-04 | 2023-07-05 | TomTom Global Content B.V. | Vorrichtung und verfahren zur spurmarkierungsanalyse |
| US8255393B1 (en) | 2009-08-07 | 2012-08-28 | Google Inc. | User location reputation system |
| US9168946B2 (en) | 2010-03-19 | 2015-10-27 | Javad Gnss, Inc. | Method for generating offset paths for ground vehicles |
| US8711688B1 (en) * | 2010-04-22 | 2014-04-29 | Viasat, Inc. | Traffic flow analysis mitigation using a cover signal |
| SI2423885T1 (sl) | 2010-08-06 | 2014-02-28 | Kapsch Trafficcom Ag | Naprava in postopek za nadzor funkcionalnosti cestninskega sistema |
| WO2012089272A1 (en) | 2010-12-30 | 2012-07-05 | Tomtom Germany Gmbh & Co. Kg | Seamless network generation |
| JP5593245B2 (ja) | 2011-01-31 | 2014-09-17 | インターナショナル・ビジネス・マシーンズ・コーポレーション | 移動物に関連するトレース・データの開示を制御する方法、並びにそのコンピュータ及びコンピュータ・プログラム |
| US9019126B2 (en) | 2011-03-02 | 2015-04-28 | Mobile Devices Ingenierie | Traffic information system and method |
| DE102011106295A1 (de) | 2011-07-01 | 2012-01-12 | Daimler Ag | Verkehrsinformationssystem, Backend-Servervorrichtung und Verfahren zum bidirektionalen Übertragen von Daten zwischen Kraftfahrzeugen und einem Dienstanbieter |
| US8914859B2 (en) * | 2011-11-07 | 2014-12-16 | International Business Machines Corporation | Managing the progressive legible obfuscation and de-obfuscation of public and quasi-public broadcast messages |
| US20130274955A1 (en) | 2012-04-13 | 2013-10-17 | Walter Steven Rosenbaum | Method for analyzing operation characteristics of a vehicle driver |
| DE102013204128A1 (de) | 2013-03-11 | 2014-09-11 | Robert Bosch Gmbh | Vorrichtung, Verfahren und System zur Überwachung von Betriebsdaten eines Kraftfahrzeugs |
| WO2014153130A1 (en) | 2013-03-14 | 2014-09-25 | Sirius Xm Radio Inc. | High resolution encoding and transmission of traffic information |
| WO2014204487A1 (en) | 2013-06-21 | 2014-12-24 | Hewlett-Packard Development Company, L.P. | Adaptive location perturbation |
| US9794373B1 (en) | 2013-06-28 | 2017-10-17 | Google Inc. | System and method for ensuring anonymity of user travel and navigation data through hashing |
| US8972187B1 (en) | 2013-06-28 | 2015-03-03 | Google Inc. | Varying the degree of precision in navigation data analysis |
| EP2827547A1 (de) * | 2013-07-15 | 2015-01-21 | Alcatel Lucent | Sichere Cloud-Datenspeicherung |
| US9880017B2 (en) | 2014-04-18 | 2018-01-30 | Here Global B.V. | Method and apparatus for creating an origin-destination matrix from probe trajectory data |
| DE102014208465A1 (de) | 2014-05-06 | 2015-11-12 | Continental Automotive Gmbh | Räumliche Gruppierung von Fahrzeugen durch serverbasierte Verkehrsdienste |
| GB2534830A (en) | 2014-05-30 | 2016-08-10 | Ibm | Anonymizing location information of a mobile device |
| US8978153B1 (en) | 2014-08-01 | 2015-03-10 | Datalogix, Inc. | Apparatus and method for data matching and anonymization |
| US9614837B2 (en) * | 2014-08-27 | 2017-04-04 | Verizon Patent And Licensing Inc. | Systems and methods for verifying human interaction with a computer interface |
| CN111380545B (zh) | 2015-02-10 | 2024-11-12 | 御眼视觉技术有限公司 | 用于自主车辆导航的方法、服务器、自主车辆以及介质 |
| US9550495B2 (en) | 2015-03-27 | 2017-01-24 | Intel Corporation | Technologies for assisting vehicles with changing road conditions |
| DE102015209467A1 (de) | 2015-05-22 | 2016-11-24 | Continental Teves Ag & Co. Ohg | Verfahren zur Schätzung von Fahrstreifen |
| US10546400B2 (en) | 2015-06-03 | 2020-01-28 | Here Global B.V. | Method and apparatus for defining bi-directional road geometry from probe data |
| US10055981B2 (en) | 2015-06-11 | 2018-08-21 | Here Global B.V. | Traffic speed modeling |
| DE102015213393B4 (de) | 2015-07-16 | 2022-10-20 | Bayerische Motoren Werke Aktiengesellschaft | Verfahren und Vorrichtung zur Anonymisierung von Positions- und Bewegungsdaten eines Kraftfahrzeugs |
| EP3130891B1 (de) | 2015-08-11 | 2018-01-03 | Continental Automotive GmbH | Verfahren zur aktualisierung einer präzisionsstrassendatenbank auf einem server |
| DE102015216414A1 (de) * | 2015-08-27 | 2017-03-02 | Robert Bosch Gmbh | Verfahren zur Erfassung von Bewegungsinformationen |
| US9760718B2 (en) | 2015-09-18 | 2017-09-12 | International Business Machines Corporation | Utility-aware anonymization of sequential and location datasets |
| US9867041B2 (en) * | 2015-10-21 | 2018-01-09 | Emory University | Methods and systems for determining protected location information based on temporal correlations |
| US9471852B1 (en) | 2015-11-11 | 2016-10-18 | International Business Machines Corporation | User-configurable settings for content obfuscation |
| DE102016200855B3 (de) | 2016-01-21 | 2016-09-22 | Siemens Aktiengesellschaft | Verfahren und Vorrichtung zur Bereitstellung von aufgezeichneten, anonymisierten Routen |
| US9970771B2 (en) | 2016-02-03 | 2018-05-15 | Here Global B.V. | Navigational database update package |
| DE102016202659B3 (de) | 2016-02-22 | 2016-09-22 | Siemens Aktiengesellschaft | Verfahren und Vorrichtung zur Bereitstellung von aufgezeichneten, anonymisierten Routen |
| US10444763B2 (en) | 2016-03-21 | 2019-10-15 | Ford Global Technologies, Llc | Systems, methods, and devices for fusion of predicted path attributes and drive history |
| CN105871831A (zh) | 2016-03-28 | 2016-08-17 | 江苏大学 | 一种车载网中数据分片下载服务方法 |
| DE102016110331B3 (de) | 2016-06-03 | 2017-06-22 | CooDriver GmbH | Verfahren und System zum Ermitteln von Risikobereichen im Straßenverkehr |
| US11721205B2 (en) | 2016-06-13 | 2023-08-08 | Here Global B.V. | Method, apparatus, and computer program product for processing sensor data |
| US10778647B2 (en) | 2016-06-17 | 2020-09-15 | Cisco Technology, Inc. | Data anonymization for distributed hierarchical networks |
| DE102016214027A1 (de) | 2016-07-29 | 2018-02-01 | Volkswagen Aktiengesellschaft | Verfahren und System zum Erfassen von Landmarken in einem Verkehrsumfeld einer mobilen Einheit |
| JP6822815B2 (ja) | 2016-10-17 | 2021-01-27 | トヨタ自動車株式会社 | 道路標示認識装置 |
| DE102016225287A1 (de) * | 2016-12-16 | 2018-06-21 | Volkswagen Aktiengesellschaft | Verfahren, Vorrichtung und computerlesbares Speichermedium mit Instruktionen zur Verarbeitung von durch ein Kraftfahrzeug erfassten Daten |
| US10788330B2 (en) | 2017-01-04 | 2020-09-29 | International Business Machines Corporation | Route generation based on aggregated path data |
| US11418915B2 (en) | 2017-02-17 | 2022-08-16 | DataSpark, PTE. LTD. | Trajectory analysis with mode of transportation analysis |
| US10119824B2 (en) | 2017-03-03 | 2018-11-06 | Here Global B.V. | Method and apparatus for updating road map geometry based on probe data |
| EP3396370B1 (de) | 2017-04-28 | 2021-11-17 | Fujitsu Limited | Detektion von bereichen von interesse auf bildern |
| WO2018218146A1 (en) | 2017-05-26 | 2018-11-29 | Google Llc | Data layers for a vehicle map service |
| US10032368B1 (en) | 2017-06-01 | 2018-07-24 | Here Global B.V. | Method and apparatus for measurement of parking duration from anonymized data |
| DE102017209346A1 (de) | 2017-06-01 | 2019-01-10 | Robert Bosch Gmbh | Verfahren und Vorrichtung zur Erstellung einer fahrspurgenauen Straßenkarte |
| US10311728B2 (en) | 2017-08-11 | 2019-06-04 | Here Global B.V. | Method and apparatus for providing a confidence-based road event message |
| US10571921B2 (en) | 2017-09-18 | 2020-02-25 | Baidu Usa Llc | Path optimization based on constrained smoothing spline for autonomous driving vehicles |
| JP6866820B2 (ja) | 2017-10-12 | 2021-04-28 | トヨタ自動車株式会社 | サーバ装置、経路情報のマスキング処理方法およびそのプログラム |
| US11163309B2 (en) | 2017-11-30 | 2021-11-02 | Direct Current Capital LLC | Method for autonomous navigation |
| EP3527947B1 (de) | 2018-02-16 | 2020-11-18 | Wipro Limited | Verfahren zum generieren eines sicheren navigationspfades für ein fahrzeug und system dafür |
| KR102808864B1 (ko) | 2018-03-05 | 2025-05-19 | 모빌아이 비젼 테크놀로지스 엘티디. | 항법 정보를 익명화 하는 시스템 및 방법 |
| US10382889B1 (en) | 2018-04-27 | 2019-08-13 | Here Global B.V. | Dynamic mix zones |
| US11562168B2 (en) | 2018-07-16 | 2023-01-24 | Here Global B.V. | Clustering for K-anonymity in location trajectory data |
| US10663305B2 (en) | 2018-07-16 | 2020-05-26 | Here Global B.V. | Map matched aggregation for K-anonymity in trajectory data |
| US10970318B2 (en) | 2018-08-01 | 2021-04-06 | Apple Inc. | Active change detection for geospatial entities using trend analysis |
| DE102018006281A1 (de) | 2018-08-08 | 2019-02-21 | Daimler Ag | Verfahren zum Betrieb eines Assistenzsystems eines Fahrzeuges |
| US10685504B2 (en) | 2018-09-27 | 2020-06-16 | Intel Corporation | Systems, devices, and methods for vehicular communication |
| US11868479B2 (en) * | 2018-11-02 | 2024-01-09 | Arizona Board Of Regents On Behalf Of The University Of Arizona | Runtime adaptive risk assessment and automated mitigation |
| JP7540728B2 (ja) | 2018-11-08 | 2024-08-27 | シナプス・パートナーズ・エルエルシー | 乗り物データを管理するためのシステムおよび方法 |
| DE102019201530B3 (de) | 2019-02-06 | 2020-07-02 | Volkswagen Aktiengesellschaft | Überwachung und Korrektur der Verschleierung fahrzeugbezogener Daten |
| US11187542B2 (en) | 2019-02-26 | 2021-11-30 | Here Global B.V. | Trajectory time reversal |
| US11280913B2 (en) * | 2019-05-31 | 2022-03-22 | At&T Intellectual Property I, L.P. | Global positioning system spoofing countermeasures |
| US11435202B2 (en) | 2019-06-04 | 2022-09-06 | Here Global B.V. | Trajectory sampling using spatial familiarity |
| US11386228B2 (en) * | 2019-06-04 | 2022-07-12 | GM Global Technology Operations LLC | Real-time session-based anonymization and blurring of high-resolution GPS data |
| US11783697B2 (en) | 2019-06-13 | 2023-10-10 | Here Global B.V. | Method, apparatus, and system for ensuring privacy while maintaining floating car data accuracy |
| US11335187B2 (en) | 2019-06-20 | 2022-05-17 | Here Global B.V. | Dynamic privacy-sensitive operating modes |
| DE102019209226A1 (de) | 2019-06-26 | 2020-12-31 | Volkswagen Aktiengesellschaft | Verfahren, Computerprogramm und Vorrichtung zur Verarbeitung von durch ein Kraftfahrzeug erfassten Daten |
| DE102019209485A1 (de) | 2019-06-28 | 2020-12-31 | Volkswagen Aktiengesellschaft | Verfahren, Computerprogramm und Vorrichtung zur Verarbeitung von durch ein Kraftfahrzeug erfassten Daten |
| DE102019209711A1 (de) | 2019-07-02 | 2021-01-07 | Volkswagen Aktiengesellschaft | Verfahren, Computerprogramm und Vorrichtung zur Verarbeitung von durch ein Kraftfahrzeug erfassten Daten, sowie zum Bereitstellen von Parametern für eine solche Verarbeitung |
| US11588796B2 (en) * | 2019-09-11 | 2023-02-21 | Baidu Usa Llc | Data transmission with obfuscation for a data processing (DP) accelerator |
| US11262208B2 (en) | 2019-09-30 | 2022-03-01 | Here Global B.V. | Lane level routing and navigation using lane level dynamic profiles |
| US11867511B2 (en) | 2019-10-14 | 2024-01-09 | Bihama Vedaste | Method for secure and accurate mapping of locations and routes |
| US12156091B2 (en) | 2020-07-15 | 2024-11-26 | Visual Defence Inc. | System and method for optimizing collection and transmission of surveying data across a road network |
| WO2022046469A1 (en) | 2020-08-28 | 2022-03-03 | Evangelos Simoudis | Systems and methods for managing vehicle data |
| US20220136846A1 (en) | 2020-10-31 | 2022-05-05 | At&T Intellectual Property I, L.P. | Optimal Routes for Vehicular Communications |
-
2019
- 2019-06-28 DE DE102019209485.6A patent/DE102019209485A1/de active Pending
-
2020
- 2020-05-20 US US17/623,160 patent/US12131553B2/en active Active
- 2020-05-20 WO PCT/EP2020/064084 patent/WO2020259932A1/de not_active Ceased
- 2020-05-20 EP EP20731401.4A patent/EP3991145A1/de active Pending
- 2020-05-20 CN CN202080047372.3A patent/CN114008694B/zh active Active
Also Published As
| Publication number | Publication date |
|---|---|
| US12131553B2 (en) | 2024-10-29 |
| WO2020259932A1 (de) | 2020-12-30 |
| CN114008694A (zh) | 2022-02-01 |
| DE102019209485A1 (de) | 2020-12-31 |
| CN114008694B (zh) | 2024-07-12 |
| US20220262126A1 (en) | 2022-08-18 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| EP3991144B1 (de) | Verfahren, computerprogramm und vorrichtung zur verarbeitung von durch ein kraftfahrzeug erfassten daten | |
| EP3921752B1 (de) | Überwachung und korrektur der verschleierung fahrzeugbezogener daten | |
| DE102015213393B4 (de) | Verfahren und Vorrichtung zur Anonymisierung von Positions- und Bewegungsdaten eines Kraftfahrzeugs | |
| DE102016225287A1 (de) | Verfahren, Vorrichtung und computerlesbares Speichermedium mit Instruktionen zur Verarbeitung von durch ein Kraftfahrzeug erfassten Daten | |
| DE19535084A1 (de) | Verfahren und Vorrichtung zur dynamischen Optimierung von durch ein Computersystem gemanagten Geschäftsprozessen | |
| DE102019100065B4 (de) | Verkehrsinformationsbereitstellungssystem und Verkehrsinformationsbereitstellungsverfahren | |
| DE102022001720B3 (de) | Verfahren zur Anonymisierung von Fahrzeugdaten | |
| DE102016200855B3 (de) | Verfahren und Vorrichtung zur Bereitstellung von aufgezeichneten, anonymisierten Routen | |
| WO2020259932A1 (de) | Verfahren, computerprogramm und vorrichtung zur verarbeitung von durch ein kraftfahrzeug erfassten daten | |
| DE102022002975A1 (de) | Verfahren zur Anonymisierung von Positionsdaten eines Kraftwagens | |
| DE102010001700A1 (de) | Verfahren zur Bestimmung eines Bildes benutzter oder bekannter Streckenabschnitte | |
| WO2021001207A1 (de) | Verfahren, computerprogramm und vorrichtung zur verarbeitung von durch ein kraftfahrzeug erfassten daten, sowie zum bereitstellen von parametern für eine solche verarbeitung | |
| DE102019213599A1 (de) | Verfahren zum Bestimmen einer klassifizierten Schwarmtrajektorie | |
| EP3329332B1 (de) | Verfahren zur ermittlung von stützpunkten eines versuchsplans | |
| DE102020007078B3 (de) | Verfahren zum anonymisierten Übertragen von zeit- und ortsreferenzierten Sensordaten eines Fahrzeuges zu einer fahrzeugexternen Rechnereinheit | |
| EP3757961B1 (de) | Verfahren, computerprogramm und vorrichtung zum bestimmen eines fahrzeugabstands für einen beobachtungszeitraum | |
| DE102017213512A1 (de) | Abschätzen einer voraussichtlichen Fahrzeit eines Schienenfahrzeugs | |
| DE102020005467A1 (de) | Verfahren zum Verfügbarmachen von anonymisierten, ADAS relevanten Fahrzeugdaten | |
| DE102023002475A1 (de) | Verfahren zur Datenaggregation sowie Kommunikationssystem | |
| DE102020109492A1 (de) | Verfahren und System zum Bestimmen von Abbiegewahrscheinlichkeiten an Kreuzungen | |
| DE102017201188A1 (de) | Verfahren und Vorrichtung zum Ermitteln einer Position einer freien Parklücke | |
| DE102017210737A1 (de) | Elektronischer Tachograf und Verfahren zum Speichern von Einträgen in einem elektronischen Tachografen | |
| WO2021048255A1 (de) | Verfahren und vorrichtung zum bereitstellen einer instandhaltungsinformation über ein türsystem für ein fahrzeug und türsystem für ein fahrzeug | |
| DE102013220453A1 (de) | Verfahren zum Betreiben eines Kraftfahrzeugs und Verfahren zum Auswerten von erfassten zeitlichen Verläufen | |
| LU102919B1 (de) | Verfahren und Systeme zur Früherkennung und Bewertung von strukturellen Gefahrenstellen im Straßenverkehr |
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: 20220128 |
|
| 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 |
|
| DAV | Request for validation of the european patent (deleted) | ||
| DAX | Request for extension of the european patent (deleted) | ||
| STAA | Information on the status of an ep patent application or granted ep patent |
Free format text: STATUS: EXAMINATION IS IN PROGRESS |
|
| 17Q | First examination report despatched |
Effective date: 20250618 |