EP2936470A1 - Verfahren und system zum lernen von verkehrsereignissen sowie verwendung des systems - Google Patents
Verfahren und system zum lernen von verkehrsereignissen sowie verwendung des systemsInfo
- Publication number
- EP2936470A1 EP2936470A1 EP13815740.9A EP13815740A EP2936470A1 EP 2936470 A1 EP2936470 A1 EP 2936470A1 EP 13815740 A EP13815740 A EP 13815740A EP 2936470 A1 EP2936470 A1 EP 2936470A1
- Authority
- EP
- European Patent Office
- Prior art keywords
- traffic
- traffic events
- events
- vehicle
- data network
- 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.)
- Granted
Links
- 238000000034 method Methods 0.000 title claims abstract description 40
- 238000004891 communication Methods 0.000 claims abstract description 22
- 230000014759 maintenance of location Effects 0.000 claims description 21
- 230000001186 cumulative effect Effects 0.000 claims description 7
- 206010039203 Road traffic accident Diseases 0.000 claims description 5
- 230000006870 function Effects 0.000 claims description 5
- 238000011156 evaluation Methods 0.000 claims description 3
- 231100001261 hazardous Toxicity 0.000 claims description 2
- 230000002123 temporal effect Effects 0.000 claims description 2
- 230000005540 biological transmission Effects 0.000 description 10
- 238000010276 construction Methods 0.000 description 9
- 238000001514 detection method Methods 0.000 description 5
- 230000001419 dependent effect Effects 0.000 description 2
- 230000033001 locomotion Effects 0.000 description 2
- 102100034112 Alkyldihydroxyacetonephosphate synthase, peroxisomal Human genes 0.000 description 1
- 101000799143 Homo sapiens Alkyldihydroxyacetonephosphate synthase, peroxisomal Proteins 0.000 description 1
- 238000000848 angular dependent Auger electron spectroscopy Methods 0.000 description 1
- 230000015556 catabolic process Effects 0.000 description 1
- 230000000295 complement effect Effects 0.000 description 1
- 150000001875 compounds Chemical class 0.000 description 1
- 238000012790 confirmation Methods 0.000 description 1
- 230000007613 environmental effect Effects 0.000 description 1
- 238000005259 measurement Methods 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 230000001932 seasonal effect Effects 0.000 description 1
- 238000010200 validation analysis Methods 0.000 description 1
Classifications
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
- G08G1/0108—Measuring and analyzing of parameters relative to traffic conditions based on the source of data
- G08G1/0112—Measuring and analyzing of parameters relative to traffic conditions based on the source of data from the vehicle, e.g. floating car data [FCD]
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
- G08G1/0125—Traffic data processing
- G08G1/0133—Traffic data processing for classifying traffic situation
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
- G08G1/0137—Measuring and analyzing of parameters relative to traffic conditions for specific applications
- G08G1/0141—Measuring and analyzing of parameters relative to traffic conditions for specific applications for traffic information dissemination
Definitions
- the invention relates to a method for learning traffic events sen according to the preamble of claim 1, a system for learning traffic events according to the preamble of claim 13 and its use.
- driver assistance systems which are essentially common that they serve to relieve the driver and increase safety in traffic.
- Such systems are based in part on environment information detected by environment sensors, on information read from digital map material, or also on information received by means of vehicle-to-X communication.
- navigation systems which are usually designed GPS-based, known and available in more and more current vehicles in series. These navigation systems use satellite signals received to determine their position and guide the driver to the destination along a route determined by digital maps.
- the vehicle system comprises a provider unit, at least one environment sensor and a vehicle sensor.
- the provider unit in turn comprises a position sensor based on a satellite signal sensor and an ADAS horizon provider communicatively coupled to a navigation unit, which may also be located outside the vehicle.
- the navigation unit may be e.g. be executed as a server that transmits map sections of a digital map to the provider unit.
- DE 10 2008 012 660 A1 discloses a method for the ser-based warning of vehicles against hazards and a corresponding hazard warning unit.
- a measured value is detected by means of a detection unit of a first vehicle and it is determined whether the measured value corresponds to a hazard. If the measured value corresponds to a hazard, information about the danger is transmitted to a control center.
- the control center stores the type of hazard, the location where the reading was taken, the time at which the reading was taken, an identification of the transmitting vehicle, and generates corresponding warning data. The relevant for a second vehicle warning data can then be retrieved from this second vehicle from the control center.
- the object of the present invention is therefore to propose a method which overcomes the disadvantages prevailing in the prior art. This object is achieved by the method for learning traffic events according to claim 1.
- the traffic events are transmitted by means of vehicle-to-X communication to a data network, and wherein the traffic events include position data and time data associated with the traffic events, the traffic events are stored electronically in the data network.
- the method is characterized in that for each traffic event an individual lead time is determined and that the traffic event is deleted from the data network after expiration of the lead time.
- the traffic events are automatically deleted from the data network after expiration of the individual retention period, wherein the individual retention period is advantageously selected adapted to the respective traffic event.
- the traffic jam traffic event can be deleted more quickly from the data network as the traffic event "slippery roads", as a traffic jam usually dissolves again within a few hours, while slippery roads may last longer due to weather conditions, especially in the absence of a scattering service.
- the method according to the invention thus corresponds to a "learning” and a subsequent “forgetting” of traffic events, which enables an intelligent and event-oriented provision of the individual traffic events.
- traffic event is not used exclusively for the traffic event as such, but in particular for the information describing the traffic event.
- the determination of the position data is preferably carried out by means of a global navigation satellite system, such as e.g. GPS or Galileo, and is particularly preferably supplemented by a map matching method or dead reckoning.
- a global navigation satellite system such as e.g. GPS or Galileo
- the time data is advantageously determined via a timer of the data network and assigned to the traffic events when they are transmitted to the data network.
- vehicle-to-X communication takes place by means of at least one of the following types of connection:
- WLAN connection in particular according to IEEE 802.11p,
- Mobile radio connection in particular GSM, GPRS, EDGE,
- connections offer different advantages, depending on the type, wavelength and data protocol used.
- some of the mentioned types of connection e.g. a comparatively high data transmission rate and a comparatively fast connection setup, while others are very well suited for data transmission around obstructions.
- the combination and simultaneous or parallel use of several of these types of connections provide further advantages, as well as disadvantages of individual types of connections can be compensated.
- the traffic events describe hazardous situations and the lead time is determined depending on a hazard factor and / or a frequency of traffic event ses, the lead time increases with increasing frequency and with increasing risk factor.
- the traffic events can also describe seasonal or daytime special features, such as “road slippery through fallen leaves” in autumn and “dazzling danger due to sunrise or sunset” during twilight.
- the associated guard time is also redetermined with each transmission, i. extended. This clearly corresponds to a "learning and forgetting process" through the data network, which can memorize more frequently occurring traffic events, so to speak, than traffic events that occur comparatively seldom, thus resulting in the advantage that comparatively frequently occurring traffic events are kept longer and thus The duration of the retention can be made linearly dependent on the frequency as well as on the level, ie a certain frequency interval is assigned a certain retention period the associated individual retention period is extended faster than it expires, this traffic event is thus permanently held.
- the retention period is dependent on a hazard factor and also increases as the risk factor increases, there is the further advantage that traffic events which represent a comparatively great danger are kept longer than traffic events which represent only a slight hazard.
- the determination of the hazard factor can be done, for example, by means of a predetermined table, which assigns a risk factor to each type of traffic event.
- the already determined risk factor can be transmitted to the data network together with the traffic event.
- the retention period of certain traffic event se ever further extended if they occur frequently enough and have a corresponding risk factor.
- An example of this are, for example, at peak times regularly occurring tail end behind hills or hidden corners, which regularly have a relatively high risk and thus a relatively large risk factor.
- a traffic event is not deleted when describing a traffic accident. Since a traffic accident is the consequence of a danger that can no longer be averted and is thus highly relevant to the traffic situation and the safety of the road users, it is thus ensured that the information about the traffic accident is available at all times. This can e.g. be done by the traffic incident "traffic accident" is assigned an infinitely long retention period.
- An example of this is, for example, the occurrence of road slipperiness due to road surface icing on a certain roadway section, the road slipper being detected at different locations a few meters apart and correspondingly transmitted to the data network.
- Traffic events are considered as similar traffic events in the sense of the invention if they describe an identical situation, such as e.g. "Road slipperiness", "traffic jam” or "construction site”.
- the data network is a decentralized data network comprising local network elements along a plurality of traffic routes. This results in the advantage that the data volume resulting from the transmission of traffic events to the data network can be distributed to the local network elements.
- the local network elements are also comparatively Short-range connection types of vehicle-to-X communication are always easily accessible.
- the traffic events are held by the network elements which are located within a predefinable distance from position data assigned to the traffic events.
- the network elements may have suitable local electronic databases.
- the respective traffic events are thus kept close to the position data in which they occurred. This makes it possible to avoid the transmission of comparatively large volumes of data even within the data network, since the traffic events are e.g. no longer need to be transferred to a central database and must be retrieved by this if necessary.
- the traffic events are available immediately in the vicinity of the position data on which they occurred.
- the traffic events are detected by a large number of vehicles by means of environment sensors and / or driving state sensors and transmitted to the data network. This results in the advantage that the traffic events are detected directly by the road users who are involved in the traffic events. As a rule, all relevant traffic events are thus reliably detected in a comparatively simple manner.
- the traffic events are detected by means of at least one of the following environment sensors or driving state sensors:
- the sensors mentioned are sensors typically used in the automotive sector, which essentially permit comprehensive detection and recognition of the vehicle environment and of the vehicle condition. At the present time, a large number of vehicles are already equipped with a plurality of sensors of the aforementioned types as standard, and this number is likely to increase further in the future. The additional equipment cost for implementing the method according to the invention in a motor vehicle is therefore low.
- the electronically stored traffic events and / or the cumulative traffic events are transmitted to a vehicle by means of vehicle-to-X communication, when the vehicle falls below the predefinable distance to the traffic events associated with position data.
- This information can be transmitted by means of a mentionedreichweitigen connection type as a so-called broadcast, which is determined in this case by the transmission range and the predetermined distance from which falls below the transmission takes place.
- the vehicle can continuously or regularly transmit its position data to the data network, whereupon this then transmits the corresponding traffic events to the vehicle.
- the data network can identify the reserved traffic events on the basis of their assigned position data, so that they can be retrieved from the vehicle as soon as it falls below the predetermined distance.
- push or pull methods are suitable for transmission here.
- the vehicle or the driver of the vehicle thus receive information about traffic events that are based on detection by other vehicles. Due to the large number of vehicles which detect the traffic events, the traffic events transmitted to the vehicle by the data network according to the invention are correspondingly more reliable and possibly statistically more secure than information captured by only a few or even individual vehicles or between them by vehicle signals. exchanged for X-communication.
- the vehicles or their drivers thus receive information about traffic events even if there are no other vehicles in the area or in transmission range.
- the network elements are mobile telephone masts and / or traffic lights and / or traffic signs and / or beacons and / or guide posts and / or bridges and / or weather stations and / or separate infrastructure facilities.
- already existing infrastructure elements can be used as network elements, whereby the costs incurred by the construction of the data network costs can be kept low. If the infrastructure elements are not capable of vehicle-to-X communication, they may need to be extended in terms of function. Also an extension of infrastructure elements around a local electronic database for the local provision of traffic events may become necessary.
- the separate infrastructure facilities are special network elements which are provided exclusively for carrying out the method according to the invention and which do not fulfill any further function.
- the traffic events are held centrally and can be retrieved via a database and in particular are available for route planning for vehicles.
- a database in particular are available for route planning for vehicles.
- an up-to-date overall picture of all recorded traffic events is kept in the database.
- This overall image can either be used as backup copy in case of data loss in one or more network elements, or else be used to evaluate larger route sections with regard to certain traffic events.
- Special advantages also result from the use of the central database for route planning for vehicles.
- the traffic events held in the database can be retrievable, for example, by the respective vehicles. This allows for route planning e.g. the consideration of criteria such as "Avoiding routes with increased smoothness" or "Avoiding routes with increased congestion".
- Another use of the database is to determine optimal, particularly ecological or particularly fast routes.
- traffic events transmitted to the data network are checked for plausibility by means of traffic events held in the data network before they are transmitted from the data network to the vehicle.
- traffic events held in the data network may be considered plausible if a certain number of similar traffic events having substantially identical location data are transmitted to the database in a particular amount of time.
- the traffic event "smoothness of the road" in a lane section with a known smoothness hazard can be assumed to be more quickly than plausibility than in another lane section Plausibility check procedures for vehicle-to-X messages.
- traffic events detected by each of the plurality of vehicles are additionally stored electronically in each of the plurality of vehicles.
- these traffic events held locally in the multitude of vehicles are less comprehensive than the traffic events held in the data network, but they provide a good complement to these.
- a confirmation or validation of the traffic events is possible by matching the traffic events stored in each of the plurality of vehicles with the traffic events stored in the data network. Furthermore is also a
- Analogous to the method in the data network can be determined in each of the plurality of vehicles for each traffic event, an individual lead time, the traffic event after the expiration of the retention period from a corresponding electronic memory or an electronic Database in any of the many vehicles can be deleted.
- the invention further relates to a traffic event learning system comprising at least one electronic database, a plurality of vehicles equipped with vehicle-to-X communication means and environment sensors and / or driving condition sensors, and a plurality of network elements of a data engine, which are arranged along a multiplicity of traffic routes and are equipped with vehicle-to-X communication means, wherein the plurality of vehicles detect traffic events by means of the surroundings sensor system and / or the driving state sensor system and by means of the vehicle-to-X communication means transmitting the data network, the traffic events comprising position data and time data associated with the traffic events, and wherein the at least one electronic database electronically maintains the traffic events.
- a traffic event learning system comprising at least one electronic database, a plurality of vehicles equipped with vehicle-to-X communication means and environment sensors and / or driving condition sensors, and a plurality of network elements of a data engine, which are arranged along a multiplicity of traffic routes and are equipped with vehicle-to-X communication means, wherein the plurality of vehicles detect traffic events by means of the
- the system is characterized in that evaluation means of the at least one electronic database for each traffic event determine an individual lead time and that memory extinguishing means delete the traffic event after the expiration of the retention period from the at least one electronic database.
- the system according to the invention thus comprises all necessary means for carrying out the method according to the invention and therefore makes it possible to study traffic events in an efficient manner.
- the invention also relates to a use of the system according to the invention for warning of danger in traffic. Further preferred embodiments will become apparent from the subclaims and the following descriptions of exemplary embodiments with reference to figures. Show it
- Fig. 2 shows schematically an arrangement of network elements along a traffic route
- FIG. 3 shows an exemplary sequence of the method according to the invention in the form of a flowchart.
- Fig. 1 shows an exemplary construction of the system according to the invention.
- On display are vehicles 11 and 12, each capable of vehicle-to-X communication and traveling on traffic routes 13 and 14.
- Vehicles 11 and 12 are each equipped with environmental and driving condition sensors for detecting traffic events sen.
- Weather station 15, mobile tower 16, bridge 17 and traffic sign 18 can also be seen, which serve as network elements of the data network according to the invention in addition to their actual traffic engineering function.
- network elements 15, 16, 17 and 18 are each equipped with vehicle-to-X communication means and local electronic databases.
- bridge 17 and road sign 18 are capable of vehicle-to-X communication exclusively by means of WLAN according to IEEE 802.11p, while mobile radio masts 16 and weather station 15 are capable of vehicle-to-X communication exclusively by means of mobile radio.
- vehicle 12 When driving on traffic route 14 detects vehicle 12 by means of its environment sensor construction site 19, which represents a dangerous situation and is understood in the context of the invention as a traffic event.
- Vehicle 12 transmits this traffic event by means of mobile radio to weather station 15 and mobile tower 16 and by means of WLAN to bridge 17, which is just in Sendereichweite.
- the transmitted traffic event also includes position data in the form of GPS coordinates and time data, the position data describing the location of vehicle 12 at the time of detection of construction site 19 and the time data describing the time of detection of construction site 19.
- Weather station 15, mobile mast 16 and bridge 17 store the transmitted traffic event in each case in a local electronic database and hold it for a determinable lead time.
- the traffic event can be transmitted and made available to other vehicles traveling on traffic route 14.
- the retention period is read out of a table which assigns a risk factor to each type of traffic event.
- On the basis of this hazard factor and the frequency with which traffic event "construction site 19" is transmitted to weather station 15, mobile tower 16 and bridge 17, weather station 15, mobile tower 16 and bridge 17 each determine an individual lead time For example, if the traffic event "construction site 19" is not transmitted again to weather station 15, mobile tower 16 or bridge 17 within the retention period, it will become electronic Deleted databases because it is assumed that construction site 19 is no longer available. This clearly corresponds to a "forgetting" of site 19 in network elements 15, 16 and 17.
- FIG. 2 shows road section 201 with network elements 202, 203, 204, 205 and 206.
- network elements 202, 203, 204, 205, and 206 are considered to be specific to the invention.
- Network elements 202, 203, 204, 205, and 206 are assigned transmit ranges 207, 208, 209, 210, and 211.
- transmit ranges 207, 208, 209, 210 and 211 completely cover traffic route 201.
- Traffic events 212, 213, 214 and 215 are maintained in the local electronic databases of network elements 202, 203, 204, 205 and 206.
- Traffic events 212 describe accident events
- traffic events 213 describe the occurrence of road slipperiness in the form of black ice
- traffic events 214 describe potholes
- traffic events 215 describe a traffic jam. Since these traffic events are transmitted to a vehicle which travels along traffic route 201, the vehicle has up-to-date warnings of possible dangerous situations.
- FIG. 3 shows a possible sequence of the method according to the invention in the form of a flow chart.
- traffic events are detected by a vehicle by means of environment sensors and driving condition sensors. These traffic events are transmitted in step 32 to a data network according to the invention and written in a simultaneous step 33 into an internal vehicle memory.
- the traffic events include position and time data.
- the traffic events are written to and maintained in an electronic database of the data network. Step 34 also includes associating new time data with the transmitted traffic events, the new time data being from an internal timer of the data network. This guarantees a uniform identification of the traffic events with time data, since the time data thus always comes from the same timer.
- step 35 the traffic events by means of evaluation means associated with an individual lead time, which is first read out of a table for each specific traffic event and is modified in step 36 depending on the frequency of the specific traffic events. The more frequently a specific traffic event occurs or is transmitted to the data network, the further the retention period is extended.
- step 37 the traffic events are transmitted to a vehicle passing through a traffic route associated with the traffic event.
- step 38 the traffic events whose reservation duration has expired are deleted from the data network.
Landscapes
- Chemical & Material Sciences (AREA)
- Analytical Chemistry (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Traffic Control Systems (AREA)
- Navigation (AREA)
Abstract
Description
Claims
Applications Claiming Priority (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
DE102012025159.9A DE102012025159A1 (de) | 2012-12-21 | 2012-12-21 | Verfahren und System zum Lernen von Verkehrsereignissen sowie Verwendung des Systems |
PCT/EP2013/077655 WO2014096345A1 (de) | 2012-12-21 | 2013-12-20 | Verfahren und system zum lernen von verkehrsereignissen sowie verwendung des systems |
Publications (2)
Publication Number | Publication Date |
---|---|
EP2936470A1 true EP2936470A1 (de) | 2015-10-28 |
EP2936470B1 EP2936470B1 (de) | 2019-01-30 |
Family
ID=49917071
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
EP13815740.9A Active EP2936470B1 (de) | 2012-12-21 | 2013-12-20 | Verfahren und system zum lernen von verkehrsereignissen sowie verwendung des systems |
Country Status (5)
Country | Link |
---|---|
US (1) | US9652982B2 (de) |
EP (1) | EP2936470B1 (de) |
KR (1) | KR20150097782A (de) |
DE (1) | DE102012025159A1 (de) |
WO (1) | WO2014096345A1 (de) |
Families Citing this family (11)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
DE102013213106A1 (de) | 2013-09-18 | 2015-03-19 | Continental Teves Ag & Co. Ohg | Verfahren und System zur Bewertung einer Zuverlässigkeit eines sensorikbasierten Fahrzeugsystems |
US9934249B2 (en) * | 2014-06-03 | 2018-04-03 | Conduent Business Machines Services, Llc | Systems and methods for context-aware and personalized access to visualizations of road events |
FR3048113B1 (fr) * | 2016-02-23 | 2019-06-14 | Valeo Schalter Und Sensoren Gmbh | Dispositif et procede d'aide a la conduite d'un vehicule automobile |
US20180188057A1 (en) * | 2017-01-03 | 2018-07-05 | International Business Machines Corporation | Detecting and simulating a moving event for an affected vehicle |
US10026314B1 (en) * | 2017-01-19 | 2018-07-17 | GM Global Technology Operations LLC | Multi-vehicle sensor sharing |
DE102017208124B4 (de) * | 2017-05-15 | 2019-04-04 | Bayerische Motoren Werke Aktiengesellschaft | Verfahren, Vorrichtung und System zum Ermitteln einer Straßenbaustelle |
DE102017008301A1 (de) | 2017-09-05 | 2018-03-01 | Daimler Ag | Verfahren zur Erkennung von Straßensperrungen |
DE102017221632A1 (de) * | 2017-11-30 | 2019-06-06 | Continental Automotive Gmbh | Verfahren zum Bestimmen einer Risikozonenbewertung eines Fahrzeugs, elektronische Steuerungseinheit und Speichermedium |
DE102018108358A1 (de) | 2018-04-09 | 2019-10-10 | Valeo Schalter Und Sensoren Gmbh | Verfahren zum Erfassen einer Baustelle und Fahrerunterstützungssystem zum Ausführen eines derartigen Verfahrens |
US11176825B1 (en) * | 2020-11-17 | 2021-11-16 | Ford Global Technologies, Llc | Systems and methods for vehicle backup warning notification |
US20230053674A1 (en) * | 2021-08-23 | 2023-02-23 | Honda Motor Co., Ltd. | System and method for connected vehicle-based advanced detection of slow-down events |
Family Cites Families (13)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
EP1286507A1 (de) * | 2001-08-16 | 2003-02-26 | Siemens Aktiengesellschaft | Verzögerungsfreie Übermittlung lokaler Informationen über eine Ad-Hoc-Funkverbindung |
US7221287B2 (en) * | 2002-03-05 | 2007-05-22 | Triangle Software Llc | Three-dimensional traffic report |
US7983835B2 (en) * | 2004-11-03 | 2011-07-19 | Lagassey Paul J | Modular intelligent transportation system |
US7348895B2 (en) * | 2004-11-03 | 2008-03-25 | Lagassey Paul J | Advanced automobile accident detection, data recordation and reporting system |
US7248947B2 (en) * | 2005-01-21 | 2007-07-24 | Denso It Laboratory, Inc. And Research Organization Of Information And Systems Of C/O National Institute Of Informatics | Information-sharing system, information-sharing server, information-sharing method, and information-sharing program |
US8325718B2 (en) * | 2006-07-03 | 2012-12-04 | Palo Alto Research Center Incorporated | Derivation of a propagation specification from a predicted utility of information in a network |
WO2008043795A1 (de) | 2006-10-13 | 2008-04-17 | Continental Teves Ag & Co. Ohg | Verfahren und vorrichtung zur erkennung von verdeckten objekten im strassenverkehr |
US20080270363A1 (en) * | 2007-01-26 | 2008-10-30 | Herbert Dennis Hunt | Cluster processing of a core information matrix |
DE102008012660A1 (de) | 2007-06-22 | 2008-12-24 | Continental Teves Ag & Co. Ohg | Serverbasierte Warnung vor Gefahren |
US8410956B2 (en) * | 2007-08-16 | 2013-04-02 | GM Global Technology Operations LLC | Message management protocol persistent geocast routing |
EP2578996B1 (de) | 2008-02-15 | 2018-10-17 | Continental Teves AG & Co. OHG | Fahrzeugsystem zur Navigation und/oder Fahrerassistenz |
WO2009149730A1 (en) * | 2008-06-13 | 2009-12-17 | Nec Europe Ltd. | Method and system for information dissemination in a communication network |
US8831869B2 (en) * | 2009-03-31 | 2014-09-09 | GM Global Technology Operations LLC | Using V2X-based in-network message generation, aggregation, distribution and processing protocols to enable road hazard condition warning applications |
-
2012
- 2012-12-21 DE DE102012025159.9A patent/DE102012025159A1/de not_active Withdrawn
-
2013
- 2013-12-20 EP EP13815740.9A patent/EP2936470B1/de active Active
- 2013-12-20 WO PCT/EP2013/077655 patent/WO2014096345A1/de active Application Filing
- 2013-12-20 US US14/651,311 patent/US9652982B2/en active Active
- 2013-12-20 KR KR1020157019752A patent/KR20150097782A/ko not_active Application Discontinuation
Non-Patent Citations (1)
Title |
---|
See references of WO2014096345A1 * |
Also Published As
Publication number | Publication date |
---|---|
KR20150097782A (ko) | 2015-08-26 |
US20150317901A1 (en) | 2015-11-05 |
US9652982B2 (en) | 2017-05-16 |
WO2014096345A1 (de) | 2014-06-26 |
DE102012025159A1 (de) | 2014-06-26 |
EP2936470B1 (de) | 2019-01-30 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
EP2936470B1 (de) | Verfahren und system zum lernen von verkehrsereignissen sowie verwendung des systems | |
DE102015100812B4 (de) | Verfahren zum Verwenden von Strassenniveaubildern zum Verbessern eines Modus eines automatisierten Fahrens für ein Fahrzeug | |
EP2850607B1 (de) | Verfahren und system zur erstellung eines aktuellen situationsabbilds | |
EP2979261B1 (de) | Backend für fahrerassistenzsysteme | |
DE102011081614A1 (de) | Verfahren und Vorrichtung zur Analysierung eines von einem Fahrzeug zu befahrenden Streckenabschnitts | |
DE112018003637T5 (de) | Datenanalyse in intelligenten städten zur verbesserten unfallrekonstruktion und für bessere lösungen | |
DE102012216788A1 (de) | Verfahren und System zum Erhalten von Qualitätsdaten betreffend Informationen über Schaltzeiten und/oder Schaltbedingungen von Ampeln und/oder Wechselverkehrszeichen | |
EP3769042B1 (de) | System zur erzeugung von konfidenzwerten im backend | |
DE102017205479A1 (de) | Verfahren zur Vorhersage einer Mobilfunksignalstärke einer Mobilfunkanbindung eines Kraftfahrzeugs und Servervorrichtung zum Ausführen des Verfahrens | |
DE102019209552A1 (de) | Verfahren zur Verkehrserfassung | |
DE102011085060A1 (de) | Vorrichtung und Verfahren zum Detektieren von Objekten in einem Strom von Sensordaten | |
EP1814095A2 (de) | Verfahren zur Bestimmung eines zukünftigen Strassenverlaufs durch Kommunikation zwischen Kraftfahrzeugen | |
DE102007000971B4 (de) | Verfahren zur kollaborativen Pflege von Kartenmaterial für mobile Navigationsgeräte | |
DE102012110219A1 (de) | Verfahren und Vorrichtung zur Erkennung von gekennzeichneten Gefahr- und/oder Baustellen im Bereich von Fahrbahnen | |
EP3625520A1 (de) | Verfahren, vorrichtung und system zum ermitteln eines wettergebiets | |
EP3405939A2 (de) | ERFASSUNG EINER GEFAHRENSITUATION IM STRAßENVERKEHR | |
DE10225033B4 (de) | Verfahren zur Gewinnung von Verkehrsinformationen, wie Stau, Verkehrsdichte oder Geschwindigkeit | |
DE102012102693A1 (de) | Verfahren und Vorrichtung zur Bereitstellung von Verkehrsinformationen in Fahrzeugen | |
WO2019201650A1 (de) | Verfahren und vorrichtung zum bestimmen einer hochgenauen position eines fahrzeugs | |
WO2019063630A1 (de) | Verfahren und einrichtung | |
WO2018188922A1 (de) | Verfahren und vorrichtung zum erstellen und bereitstellen einer ersten karte | |
DE102012219233A1 (de) | Verfahren und/oder Vorrichtung zur Erfassung und Darstellung einer Fahrzeugplatzauslastung | |
DE102017218932B4 (de) | Verfahren zur Bewertung einer Trajektorie eines Fortbewegungsmittels | |
EP3298600B1 (de) | Erkennen von fahrspurenden auf strassen | |
DE102019117722A1 (de) | Gegenverkehrsfreier Überholassistent zur Verwendung bei autonomem Fahren |
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 |
|
17P | Request for examination filed |
Effective date: 20150721 |
|
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 |
|
AX | Request for extension of the european patent |
Extension state: BA ME |
|
DAX | Request for extension of the european patent (deleted) | ||
RAP1 | Party data changed (applicant data changed or rights of an application transferred) |
Owner name: CONTI TEMIC MICROELECTRONIC GMBH Owner name: CONTINENTAL TEVES AG & CO. OHG |
|
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: 20180921 |
|
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 |
|
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: AT Ref legal event code: REF Ref document number: 1093874 Country of ref document: AT Kind code of ref document: T Effective date: 20190215 |
|
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: DE Ref legal event code: R096 Ref document number: 502013012129 Country of ref document: DE |
|
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: MG4D |
|
REG | Reference to a national code |
Ref country code: NL Ref legal event code: MP Effective date: 20190130 |
|
PG25 | Lapsed in a contracting state [announced via postgrant information from national office to epo] |
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: 20190130 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: 20190130 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: 20190130 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: 20190130 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: 20190530 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: 20190130 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: 20190430 |
|
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: 20190130 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: 20190130 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: 20190430 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: 20190130 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: 20190530 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: 20190501 |
|
PG25 | Lapsed in a contracting state [announced via postgrant information from national office to epo] |
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: 20190130 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: 20190130 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: 20190130 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: 20190130 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: 20190130 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: 20190130 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: 20190130 |
|
REG | Reference to a national code |
Ref country code: DE Ref legal event code: R097 Ref document number: 502013012129 Country of ref document: DE |
|
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: 20190130 |
|
PLBE | No opposition filed within time limit |
Free format text: ORIGINAL CODE: 0009261 |
|
STAA | Information on the status of an ep patent application or granted ep patent |
Free format text: STATUS: NO OPPOSITION FILED WITHIN TIME LIMIT |
|
26N | No opposition filed |
Effective date: 20191031 |
|
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: 20190130 |
|
PG25 | Lapsed in a contracting state [announced via postgrant information from national office to epo] |
Ref country code: TR 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: 20190130 |
|
REG | Reference to a national code |
Ref country code: CH Ref legal event code: PL |
|
REG | Reference to a national code |
Ref country code: BE Ref legal event code: MM Effective date: 20191231 |
|
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: 20190130 |
|
GBPC | Gb: european patent ceased through non-payment of renewal fee |
Effective date: 20191220 |
|
PG25 | Lapsed in a contracting state [announced via postgrant information from national office to epo] |
Ref country code: LU Free format text: LAPSE BECAUSE OF NON-PAYMENT OF DUE FEES Effective date: 20191220 Ref country code: GB Free format text: LAPSE BECAUSE OF NON-PAYMENT OF DUE FEES Effective date: 20191220 |
|
PG25 | Lapsed in a contracting state [announced via postgrant information from national office to epo] |
Ref country code: LI Free format text: LAPSE BECAUSE OF NON-PAYMENT OF DUE FEES Effective date: 20191231 Ref country code: CH Free format text: LAPSE BECAUSE OF NON-PAYMENT OF DUE FEES Effective date: 20191231 Ref country code: BE Free format text: LAPSE BECAUSE OF NON-PAYMENT OF DUE FEES Effective date: 20191231 |
|
REG | Reference to a national code |
Ref country code: AT Ref legal event code: MM01 Ref document number: 1093874 Country of ref document: AT Kind code of ref document: T Effective date: 20191220 |
|
PG25 | Lapsed in a contracting state [announced via postgrant information from national office to epo] |
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: 20190130 Ref country code: AT Free format text: LAPSE BECAUSE OF NON-PAYMENT OF DUE FEES Effective date: 20191220 |
|
PG25 | Lapsed in a contracting state [announced via postgrant information from national office to epo] |
Ref country code: MT 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: 20190130 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: 20131220 |
|
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: 20190130 |
|
REG | Reference to a national code |
Ref country code: DE Ref legal event code: R081 Ref document number: 502013012129 Country of ref document: DE Owner name: CONTINENTAL AUTOMOTIVE TECHNOLOGIES GMBH, DE Free format text: FORMER OWNERS: CONTINENTAL TEVES AG & CO. OHG, 60488 FRANKFURT, DE; CONTI TEMIC MICROELECTRONIC GMBH, 90411 NUERNBERG, DE |
|
PGFP | Annual fee paid to national office [announced via postgrant information from national office to epo] |
Ref country code: SE Payment date: 20221222 Year of fee payment: 10 Ref country code: IE Payment date: 20221222 Year of fee payment: 10 |
|
PGFP | Annual fee paid to national office [announced via postgrant information from national office to epo] |
Ref country code: FR Payment date: 20231221 Year of fee payment: 11 Ref country code: DE Payment date: 20231231 Year of fee payment: 11 |
|
REG | Reference to a national code |
Ref country code: DE Ref legal event code: R081 Ref document number: 502013012129 Country of ref document: DE Owner name: CONTINENTAL AUTOMOTIVE TECHNOLOGIES GMBH, DE Free format text: FORMER OWNER: CONTINENTAL AUTOMOTIVE TECHNOLOGIES GMBH, 30165 HANNOVER, DE |