EP3891034A1 - Verfahren zum steuern eines fahrerassistenzsystems, fahrerassistenzsystem, kraftfahrzeug und zentrale datenverarbeitungseinrichtung - Google Patents
Verfahren zum steuern eines fahrerassistenzsystems, fahrerassistenzsystem, kraftfahrzeug und zentrale datenverarbeitungseinrichtungInfo
- Publication number
- EP3891034A1 EP3891034A1 EP19805920.6A EP19805920A EP3891034A1 EP 3891034 A1 EP3891034 A1 EP 3891034A1 EP 19805920 A EP19805920 A EP 19805920A EP 3891034 A1 EP3891034 A1 EP 3891034A1
- Authority
- EP
- European Patent Office
- Prior art keywords
- area
- stopping
- driver assistance
- assistance system
- areas
- 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.)
- Ceased
Links
Classifications
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W30/00—Purposes of road vehicle drive control systems not related to the control of a particular sub-unit, e.g. of systems using conjoint control of vehicle sub-units
- B60W30/18—Propelling the vehicle
- B60W30/18009—Propelling the vehicle related to particular drive situations
- B60W30/18154—Approaching an intersection
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W40/00—Estimation or calculation of non-directly measurable driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, e.g. by using mathematical models
- B60W40/02—Estimation or calculation of non-directly measurable driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, e.g. by using mathematical models related to ambient conditions
- B60W40/04—Traffic conditions
-
- 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
- G08G1/09—Arrangements for giving variable traffic instructions
- G08G1/0962—Arrangements for giving variable traffic instructions having an indicator mounted inside the vehicle, e.g. giving voice messages
- G08G1/0967—Systems involving transmission of highway information, e.g. weather, speed limits
- G08G1/096708—Systems involving transmission of highway information, e.g. weather, speed limits where the received information might be used to generate an automatic action on the vehicle control
- G08G1/096716—Systems involving transmission of highway information, e.g. weather, speed limits where the received information might be used to generate an automatic action on the vehicle control where the received information does not generate an automatic action on the vehicle control
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/09—Arrangements for giving variable traffic instructions
- G08G1/0962—Arrangements for giving variable traffic instructions having an indicator mounted inside the vehicle, e.g. giving voice messages
- G08G1/0967—Systems involving transmission of highway information, e.g. weather, speed limits
- G08G1/096708—Systems involving transmission of highway information, e.g. weather, speed limits where the received information might be used to generate an automatic action on the vehicle control
- G08G1/096725—Systems involving transmission of highway information, e.g. weather, speed limits where the received information might be used to generate an automatic action on the vehicle control where the received information generates an automatic action on the vehicle control
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/09—Arrangements for giving variable traffic instructions
- G08G1/0962—Arrangements for giving variable traffic instructions having an indicator mounted inside the vehicle, e.g. giving voice messages
- G08G1/0967—Systems involving transmission of highway information, e.g. weather, speed limits
- G08G1/096733—Systems involving transmission of highway information, e.g. weather, speed limits where a selection of the information might take place
- G08G1/096741—Systems involving transmission of highway information, e.g. weather, speed limits where a selection of the information might take place where the source of the transmitted information selects which information to transmit to each vehicle
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/09—Arrangements for giving variable traffic instructions
- G08G1/0962—Arrangements for giving variable traffic instructions having an indicator mounted inside the vehicle, e.g. giving voice messages
- G08G1/0967—Systems involving transmission of highway information, e.g. weather, speed limits
- G08G1/096766—Systems involving transmission of highway information, e.g. weather, speed limits where the system is characterised by the origin of the information transmission
- G08G1/096775—Systems involving transmission of highway information, e.g. weather, speed limits where the system is characterised by the origin of the information transmission where the origin of the information is a central station
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W2554/00—Input parameters relating to objects
- B60W2554/40—Dynamic objects, e.g. animals, windblown objects
- B60W2554/408—Traffic behavior, e.g. swarm
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W2556/00—Input parameters relating to data
- B60W2556/45—External transmission of data to or from the vehicle
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W2556/00—Input parameters relating to data
- B60W2556/45—External transmission of data to or from the vehicle
- B60W2556/50—External transmission of data to or from the vehicle of positioning data, e.g. GPS [Global Positioning System] data
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W2556/00—Input parameters relating to data
- B60W2556/45—External transmission of data to or from the vehicle
- B60W2556/55—External transmission of data to or from the vehicle using telemetry
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W2756/00—Output or target parameters relating to data
- B60W2756/10—Involving external transmission of data to or from the vehicle
Definitions
- the invention relates to a method for controlling a driver assistance system of a motor vehicle, wherein the driver assistance system is provided with position information about at least one area with a specific target traffic behavior and information about a type of the at least one area, and the driver assistance system as a function of the position information and the type of the at least one area.
- the invention also includes a
- Driver assistance system a motor vehicle and a central data processing device.
- a driver assistance system in the context of the present invention is to be understood on the one hand as a driver assistance system which supports a driver when driving the motor vehicle, and also a driver assistance system which is designed to drive the motor vehicle autonomously.
- a driver assistance system which supports a driver when driving the motor vehicle
- a driver assistance system which is designed to drive the motor vehicle autonomously.
- traffic signs are recognized automatically.
- the problem with this is that this is not always possible reliably, since the traffic signs, for example, are covered by other road users or other obstacles, may be illegible due to dirt or damage, or may even be missing entirely.
- DE 10 2016 223 800 A1 describes a method for operating a stop and go system in a ego vehicle in road traffic, in particular during a traffic jam.
- stopping areas that precede the
- US 2018/0004215 A1 describes a method for controlling a motor vehicle, in particular an autonomous motor vehicle, the motor vehicle also taking into account no-stopping zones, in which the
- the object of the present invention is therefore to provide a method for controlling a
- driver assistance system of a motor vehicle Specify driver assistance system of a motor vehicle, a driver assistance system, a motor vehicle and a central data processing device, which enable increased safety in road traffic.
- This task is solved by a method, a driver assistance system
- the driver assistance system is provided with position information about at least one area with a determined target traffic behavior and information about a type of the at least one area, and the driver assistance system performs a driver assistance function depending on the position information and the type of the at least one area.
- the position information and the type of the at least one area are dependent on aggregated movement data of several different second motor vehicles in at least one predetermined one
- the invention is based on the knowledge that areas with specific target traffic behavior can be determined particularly easily and also reliably and, above all, almost always on the basis of swarm data. Under swarm data there are data too understand that of a swarm of vehicles, that is, various different
- Vehicles which are referred to here as second motor vehicles, are provided.
- Such swarm data of which movement data are particularly relevant, can be made available, for example, by repeatedly, for example periodically, transmitting a current second position to a central data processing device.
- information about the current speed can also be transmitted to the central data processing device.
- speed information can also be derived from the position information, which is also provided with respective time stamps.
- comprehensive information can be provided for every second motor vehicle about where, when and how fast this second motor vehicle is moving or not.
- non-stopping areas can be identified as areas in which none of the second areas
- stopping areas can also be identified as areas in which the stopping is typically very frequent. If such areas shift, for example due to structural measures, the swarm behavior of the second motor vehicles will also adapt to these changes, so that new non-stopping areas and stopping areas based on these swarm data, in particular the aggregated data
- Movement data always current can be identified. Another particularly great advantage of this method is also that for the detection of such areas with a predetermined target traffic behavior and in particular for the provision of the
- Position information and the type of such areas i.e. for example, whether it is a holder area or non-stop area, no motor vehicle sensors,
- the driver assistance system can represent, for example, a system which is designed to drive the first motor vehicle autonomously.
- the driver assistance function which is carried out as a function of the determined area with a specific target traffic behavior, may consist in controlling the motor vehicle during autonomous driving in such a way that its driving behavior conforms to the target traffic behavior in the relevant determined areas, that is to say Example in non-stopping areas is also not held.
- the driver assistance system can also be a driver assistance system for assisting a driver when driving the vehicle, that is to say a vehicle with a low level of autonomy.
- the driver assistance function that is carried out can consist, for example, in that the driver is given appropriate warning information before driving into such areas as a function of the determined areas with certain target traffic behavior, that is to say the driver, for example, about the presence of these areas and the target traffic behavior provided in such areas is informed or is also warned if the driver deviates from the target traffic behavior provided in such areas.
- the driver is given appropriate warning information before driving into such areas as a function of the determined areas with certain target traffic behavior, that is to say the driver, for example, about the presence of these areas and the target traffic behavior provided in such areas is informed or is also warned if the driver deviates from the target traffic behavior provided in such areas.
- the predetermined surrounding area can be limited, for example, to a radius of only a few kilometers around the first motor vehicle.
- the at least one area represents a non-stopping area, in which stopping is judged to be prohibited and / or dangerous. Knowing and identifying such non-stopping areas is particularly safety-relevant, since stopping in such a non-stopping area can endanger yourself or other road users.
- Such non-stopping areas represent, for example, no-stopping zones, level crossings, crosswalks and intersections, in particular intersection areas of the lane of oncoming traffic or the like.
- Such non-stopping areas may in principle be driven on, at least if the surroundings are sufficiently clear, but it is generally not allowed to stop in such areas.
- Such areas can be identified particularly easily on the basis of the collected swarm data, since only a negligible percentage of the second motor vehicles will stop in such a non-stopping area. Particularly on busy routes, a particularly reliable statement can be made on the basis of swarm data.
- the at least one area represents a stopping area, in which stopping is assessed as not prohibited and / or not dangerous.
- a stopping area typically adjoins a non-stopping area or lies in a non-stopping area
- Such a stopping area can thus advantageously be used to stop in time, since stopping is no longer permitted in the subsequent non-stopping area. If, for example, the non-stopping area cannot easily be crossed due to a high volume of traffic, in particular not without ensuring that it does not have to be stopped, it is advantageously possible to stop in the stopping area in front of this non-stopping area before crossing the non-stopping area - Stop area can be guaranteed without stopping.
- Such stopping areas can also be identified particularly easily on the basis of the swarm data, since they indicate a very frequent stopping of road users. Such stopping areas then represent, for example, areas in front of an intersection or traffic light,
- Position information a spatial extent of the at least one area.
- the driver assistance system can thus advantageously be informed of when a certain non-stopping area begins and where it ends, and the same for the stopping areas.
- the traffic behavior can thus be planned much better both by an autonomously driving vehicle and by a driver who drives the vehicle manually.
- This spatial expansion of the areas in question can also be based on the
- a non- Stop area can be defined as such, if it is a
- both the non-stopping area and a stopping area adjacent to the non-stopping area are determined as the at least one area, as well as a stopping point in the form of a boundary between the stopping area and the non-stopping area, the driver assistance function additionally being dependent from a position of the breakpoint.
- a stopping point does not necessarily have to be a single point, but can, for example, also represent a boundary in the form of a line or the like to a non-stopping area.
- Such stops are typically directly in front of a traffic light, directly in front of a crosswalk, or in front of a level crossing. If you want to stop in front of a non-stopping area, then
- the position information of the at least one area is determined precisely in the lane. This has particularly great advantages, since areas with a certain target traffic behavior are lane-specific, especially on multi-lane roads. For example, there may be stopping points in front of the traffic lights in front of an intersection with separate turning lanes, but lane-dependent stopping areas are relevant for driving through the intersection: the lanes of oncoming and oncoming traffic should not be blocked for left-handers or right-handers and for
- Straight-ahead traffic therefore typically has no stopping area in the lane at an intersection, while right-hand turns typically also stop at the intersection before turning right at a pedestrian crossing, and left-turns at the intersection stop before crossing the oncoming traffic lane until it is clear. So the precise tracking of stopping areas and non-stopping areas is particularly important Intersection situations advantageous and relevant, but also in other multi-lane
- the position information of the at least one area for a specific lane is determined as a function of the movement data of the second motor vehicle assigned to this same lane.
- the movement data of the second motor vehicles can be evaluated precisely in the lane and, accordingly, the respective areas can also be identified in terms of their type and position precisely in the lane. This advantageously enables the lane-specific specification of the at least one area. Also the current number of
- Lanes and the lane currently being traveled by a respective second motor vehicle can be derived from the consideration of the aggregated movement data
- the invention also relates to a driver assistance system for a first one
- Position information about at least one area with a certain target traffic behavior and information about a type of the at least one area one
- the driver assistance system being designed to display the position information and the type of the at least one area as information dependent on aggregated movement data of several different second motor vehicles in at least one predetermined surrounding area
- the driver assistance system can also be designed to transmit current position data of the first motor vehicle repeatedly, for example at regular time intervals, to the central data processing device.
- the central data processing device can also be designed to transmit current position data of the first motor vehicle repeatedly, for example at regular time intervals, to the central data processing device.
- Data processing device use the position information of this first motor vehicle as additional movement data for evaluation.
- the invention also relates to a motor vehicle with a driver assistance system according to the invention.
- the invention also relates to a central data processing device for determining position information and information about a type of at least one area with a determined target traffic behavior.
- the central one is a central data processing device for determining position information and information about a type of at least one area with a determined target traffic behavior.
- Data processing device designed to receive and aggregate respective movement data from second motor vehicles and the position information and the type of the at least one area as a function of that which can be predetermined
- the invention also includes combinations of the features of those described
- FIG. 1 shows a schematic illustration of a traffic situation at a level crossing 10 on train tracks 12 to illustrate a method for controlling a driver assistance system according to an exemplary embodiment of the invention.
- a road 14 is shown which crosses the tracks 12 at the level crossing 10. This road comprises two lanes 14a, 14b with opposite lanes
- Three motor vehicles 16 are also shown by way of example on this road 14.
- a respective one of these motor vehicles 16 can also be a
- Have driver assistance system 18 according to an embodiment of the invention.
- a traffic situation there are typically areas with a predetermined target traffic behavior. This will now be explained using the lane 14a as an example.
- the barrier 20 at the level crossing 10 typically closes beforehand, in particular on both sides, or another
- Warning signal appears at the level crossing 10.
- vehicles must stop at a certain border line, the stop line 22 at the latest. Driving on the level crossing 10 is then no longer permitted. Stopping is not only possible at this border line 22, but also in an area in front of this border line 22, namely the stop area 24 shown hatched here. If, however, the level crossing 10 is free and the barriers 20 are open and no warning signal appears in any other way, then the motor vehicles 16 can cross the level crossing 10. Nevertheless, the level crossing 10 itself should not be stopped, even if it is currently free. Correspondingly, the level crossing 10 itself defines a non-stopping area 26, which is shown hatched in this example.
- Position determination device of the motor vehicle 16 determined position, to a central data processing device 28, such as a backend server or cloud server, which collects and aggregates this movement data D.
- the individual data of the motor vehicles 16 can be based on this swarm observation Assign both individual lanes 14a, 14b, and also detect stop areas 24 and non-stop areas 26, as well as boundaries 22 in between, as stop points based on this swarm data D. This detection can be based, for example, on a statistical evaluation of the collected movement data D.
- not only stopping points but entire stopping areas including their extents can advantageously be determined, and such stopping areas and non-stopping areas can also be determined precisely in the lane or lane, which is particularly relevant at intersections.
- the central one can determine and identify such stopping areas 24 and non-stopping areas 26 as well as stopping points or stopping lines 22
- Data processing device 28 transmit the information about such areas 24, 26, 22, that is, the position information and the type of areas 24, 26, 22 back to the motor vehicles 16.
- This information I can the corresponding
- Driver assistance systems 18 are provided for use.
- the driver assistance systems 18 can thus advantageously control the motor vehicle 16 in such a way that non-stopping areas 26 are only entered, for example, if the entire area 26 is also free and can be driven over without stopping. Otherwise, the driver assistance systems 18 control the motor vehicles 16 in such a way that they already stop in the stopping areas 24 until a corresponding stopping-free crossing of the non-stopping area 26 is possible. These stopping areas 24 and non-stopping areas 26 as well as the stopping points 22 can be determined quite analogously for the oncoming lane 14d. If, on the other hand, the driver assistance system 18 does not carry out any autonomous driving functions, it is also conceivable that this merely provides the driver with appropriate information
- Motor vehicle 16 outputs these specific stopping areas 24 and non-stopping areas 26 and the area boundaries 22 or issues a corresponding warning if the vehicle is not designed to conform to the desired traffic behavior.
- the determination of the spatial extent of such areas 24, 26, in particular of the non-stopping areas 26, is also particularly relevant in order to be able to control the driving behavior of the motor vehicle 16 in an adapted manner, in particular in order to estimate whether it already exists must be held in the stop area 24 in front of it, since otherwise it is not possible to drive over the non-stop area 26 without a hold.
- the example shows how the invention enables a particularly secure and reliable and, above all, simple identification of stopping areas and non-stopping areas by means of swarm data.
- This information can then be used in a particularly advantageous manner by driver assistance systems or autonomous vehicles in order to avoid stopping in these areas. For example, it is not only possible to stop in front of intersections or level crossings, but also to take into account the spatial extent and to avoid stopping at an intersection or level crossing, in particular significantly more reliably.
- a particularly good and reliable situation adaptation is made possible precisely by the lane-precise identification of stopping areas and non-stopping areas.
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- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Engineering & Computer Science (AREA)
- Life Sciences & Earth Sciences (AREA)
- Atmospheric Sciences (AREA)
- Chemical & Material Sciences (AREA)
- Analytical Chemistry (AREA)
- Automation & Control Theory (AREA)
- Transportation (AREA)
- Mechanical Engineering (AREA)
- Mathematical Physics (AREA)
- Traffic Control Systems (AREA)
Abstract
Description
Claims
Applications Claiming Priority (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| DE102018220844.1A DE102018220844A1 (de) | 2018-12-03 | 2018-12-03 | Verfahren zum Steuern eines Fahrerassistenzsystems, Fahrerassistenzsystem, Kraftfahrzeug und zentrale Datenverarbeitungseinrichtung |
| PCT/EP2019/081174 WO2020114741A1 (de) | 2018-12-03 | 2019-11-13 | Verfahren zum steuern eines fahrerassistenzsystems, fahrerassistenzsystem, kraftfahrzeug und zentrale datenverarbeitungseinrichtung |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| EP3891034A1 true EP3891034A1 (de) | 2021-10-13 |
Family
ID=68618126
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| EP19805920.6A Ceased EP3891034A1 (de) | 2018-12-03 | 2019-11-13 | Verfahren zum steuern eines fahrerassistenzsystems, fahrerassistenzsystem, kraftfahrzeug und zentrale datenverarbeitungseinrichtung |
Country Status (3)
| Country | Link |
|---|---|
| EP (1) | EP3891034A1 (de) |
| DE (1) | DE102018220844A1 (de) |
| WO (1) | WO2020114741A1 (de) |
Families Citing this family (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| DE102021200049B4 (de) | 2021-01-06 | 2025-07-10 | Volkswagen Aktiengesellschaft | Verfahren zum Verifizieren einer Fahrspurzuordnung zumindest einer Fahrspur einer Fahrbahn sowie Assistenzsystem |
| DE102022124617A1 (de) | 2022-09-26 | 2024-03-28 | Bayerische Motoren Werke Aktiengesellschaft | Verfahren und System für einen Betrieb automatisiert fahrender Fahrzeuge |
| DE102023207854B3 (de) * | 2023-08-16 | 2024-12-24 | Volkswagen Aktiengesellschaft | Verfahren zum Längsregeln eines Kraftfahrzeugs und Fahrerassistenzsystem |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| DE102013205392A1 (de) * | 2013-03-27 | 2014-10-02 | Bayerische Motoren Werke Aktiengesellschaft | Backend für Fahrerassistenzsysteme |
| DE102014204317A1 (de) * | 2014-03-10 | 2015-09-10 | Bayerische Motoren Werke Aktiengesellschaft | Verfahren und Vorrichtung zur Ermittlung von Kreuzungsparametern |
| US20180037230A1 (en) * | 2016-08-04 | 2018-02-08 | Toyota Jidosha Kabushiki Kaisha | Vehicle travel control apparatus |
| DE102016223800A1 (de) * | 2016-11-30 | 2018-05-30 | Hyundai Motor Company | Verfahren zum Betreiben eines Stopp-und Go-Systems eines Ego-Fahrzeugs und Ego-Fahrzeug |
Family Cites Families (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| DE102008025707B4 (de) * | 2008-05-29 | 2024-10-02 | Volkswagen Ag | Verfahren und Vorrichtung zum Bestimmen einer Verkehrsführungsinformation für ein Fahrzeug |
| DE102014220685A1 (de) * | 2014-10-13 | 2016-04-14 | Bayerische Motoren Werke Aktiengesellschaft | Bereitstellen einer Mindestabstandsangabe in einem Kraftfahrzeug |
| US10202118B2 (en) | 2016-10-14 | 2019-02-12 | Waymo Llc | Planning stopping locations for autonomous vehicles |
| US20180004215A1 (en) | 2017-09-15 | 2018-01-04 | GM Global Technology Operations LLC | Path planning of an autonomous vehicle for keep clear zones |
-
2018
- 2018-12-03 DE DE102018220844.1A patent/DE102018220844A1/de not_active Ceased
-
2019
- 2019-11-13 WO PCT/EP2019/081174 patent/WO2020114741A1/de not_active Ceased
- 2019-11-13 EP EP19805920.6A patent/EP3891034A1/de not_active Ceased
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| DE102013205392A1 (de) * | 2013-03-27 | 2014-10-02 | Bayerische Motoren Werke Aktiengesellschaft | Backend für Fahrerassistenzsysteme |
| DE102014204317A1 (de) * | 2014-03-10 | 2015-09-10 | Bayerische Motoren Werke Aktiengesellschaft | Verfahren und Vorrichtung zur Ermittlung von Kreuzungsparametern |
| US20180037230A1 (en) * | 2016-08-04 | 2018-02-08 | Toyota Jidosha Kabushiki Kaisha | Vehicle travel control apparatus |
| DE102016223800A1 (de) * | 2016-11-30 | 2018-05-30 | Hyundai Motor Company | Verfahren zum Betreiben eines Stopp-und Go-Systems eines Ego-Fahrzeugs und Ego-Fahrzeug |
Non-Patent Citations (2)
| Title |
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| CHRISTIAN RUHHAMMER ET AL: "Automated Intersection Mapping From Crowd Trajectory Data", IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, vol. 18, no. 3, 1 March 2017 (2017-03-01), Piscataway, NJ, USA, pages 666 - 677, XP055481047, ISSN: 1524-9050, DOI: 10.1109/TITS.2016.2585518 * |
| See also references of WO2020114741A1 * |
Also Published As
| Publication number | Publication date |
|---|---|
| DE102018220844A1 (de) | 2020-06-18 |
| WO2020114741A1 (de) | 2020-06-11 |
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