EP3455843A1 - Verfahren zur fahrsituationsabhängigen wiedergabe einer kartendarstellung in einem fahrzeug - Google Patents
Verfahren zur fahrsituationsabhängigen wiedergabe einer kartendarstellung in einem fahrzeugInfo
- Publication number
- EP3455843A1 EP3455843A1 EP17718858.8A EP17718858A EP3455843A1 EP 3455843 A1 EP3455843 A1 EP 3455843A1 EP 17718858 A EP17718858 A EP 17718858A EP 3455843 A1 EP3455843 A1 EP 3455843A1
- Authority
- EP
- European Patent Office
- Prior art keywords
- dependent
- driving situation
- scale
- vehicle
- detecting
- 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.)
- Withdrawn
Links
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
- G01C21/00—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00
- G01C21/26—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00 specially adapted for navigation in a road network
- G01C21/34—Route searching; Route guidance
- G01C21/36—Input/output arrangements for on-board computers
- G01C21/3667—Display of a road map
- G01C21/367—Details, e.g. road map scale, orientation, zooming, illumination, level of detail, scrolling of road map or positioning of current position marker
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
- G01C21/00—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00
- G01C21/26—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00 specially adapted for navigation in a road network
- G01C21/34—Route searching; Route guidance
- G01C21/36—Input/output arrangements for on-board computers
- G01C21/3626—Details of the output of route guidance instructions
- G01C21/3658—Lane guidance
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S19/00—Satellite radio beacon positioning systems; Determining position, velocity or attitude using signals transmitted by such systems
- G01S19/38—Determining a navigation solution using signals transmitted by a satellite radio beacon positioning system
- G01S19/39—Determining a navigation solution using signals transmitted by a satellite radio beacon positioning system the satellite radio beacon positioning system transmitting time-stamped messages, e.g. GPS [Global Positioning System], GLONASS [Global Orbiting Navigation Satellite System] or GALILEO
- G01S19/42—Determining position
-
- G—PHYSICS
- G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
- G09B—EDUCATIONAL OR DEMONSTRATION APPLIANCES; APPLIANCES FOR TEACHING, OR COMMUNICATING WITH, THE BLIND, DEAF OR MUTE; MODELS; PLANETARIA; GLOBES; MAPS; DIAGRAMS
- G09B29/00—Maps; Plans; Charts; Diagrams, e.g. route diagram
- G09B29/10—Map spot or coordinate position indicators; Map reading aids
- G09B29/106—Map spot or coordinate position indicators; Map reading aids using electronic means
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60R—VEHICLES, VEHICLE FITTINGS, OR VEHICLE PARTS, NOT OTHERWISE PROVIDED FOR
- B60R2300/00—Details of viewing arrangements using cameras and displays, specially adapted for use in a vehicle
- B60R2300/80—Details of viewing arrangements using cameras and displays, specially adapted for use in a vehicle characterised by the intended use of the viewing arrangement
- B60R2300/804—Details of viewing arrangements using cameras and displays, specially adapted for use in a vehicle characterised by the intended use of the viewing arrangement for lane monitoring
Definitions
- the invention relates to a method for driving situation-dependent reproduction of a
- Map display for example in a vehicle, a device for
- the document DE 10 2008 051 756 A1 proposes the scaling and enlargement of a navigation map menu displayed on a monitor in order to reduce the complexity of
- the publication WO 2009/1 12190 A1 teaches an integrated map display, wherein the integrated map display comprises a schematic map display and a geographic map display.
- the integrated map display comprises a schematic map display and a geographic map display.
- a degree of detail for the integrated map display is then determined. A corresponding driving situation-dependent
- the invention is based on the object to provide a way, for example, to provide a vehicle driver with a situation-adequate map display, which reproduces the information relevant to the present driving situation in a clear and understandable manner.
- one or more driving-situation-dependent parameters are detected and one or more display characteristics of the map display are set as a function of the one or more detected driving-situation-dependent or motion-dependent parameters.
- one or more display characteristics of the map display are set as a function of the one or more detected driving-situation-dependent or motion-dependent parameters.
- the set map display is then displayed by a display device on a display in a vehicle or on a smartphone.
- the method according to the invention has the advantage that a map display can be reproduced, which is adapted to the driving situation and thus also to the geographical position of the vehicle.
- the map display may automatically adjust as the vehicle approaches a motorway exit located on the route. The driver will be in good time before reaching the highway exit the
- Vehicle speed can be left.
- Vehicle speed results in a new driving situation, so that the previously set map display no longer allows the recording of all traffic-related information, since in the area of the motorway exit the road guidance a plurality of
- the representation scale ie the set zoom, and / or the presentation perspective, ie the set inclination or the set tilt
- the representation scale can be adapted to the map representation in a situation-appropriate manner, so that the driver in the area of the motorway exit can read the map in this area
- Detecting one or more driving-dependent parameters may include selecting a driving route. After selecting a route can then a Maneuver be detected in which a driving maneuver to follow the selected route is to execute.
- a Maneuver be detected in which a driving maneuver to follow the selected route is to execute.
- road areas can thus be identified within which driving maneuvers are to be performed in order to follow the selected travel route. These may be, for example, street areas in which a
- a lane change or a classification in the flow of traffic from an acceleration strip is run.
- road areas are thus in particular intersections, curves, driveways and downhill into consideration.
- the distance of the vehicle from the detected maneuvering area can be determined.
- the distance of the vehicle to the detected maneuver area is decisive for whether the driver already has the need for further information about the maneuver area, for example information about the expected road guidance within the maneuver area.
- On the basis of the distance of the vehicle to the maneuvering area can thus one or more
- Presentation properties of the map display such as the display scale or the presentation perspective are set to display the driver in the current traffic situation a clear and understandable map display, which includes the relevant information.
- Detecting one or more driving-dependent parameters may include detecting a roadside equipment. Street equipment are, for example, traffic signs, signposts, lane markings or
- Traffic signs preferably include danger signs
- Prefix directional or other traffic-related characters.
- the detection of a street equipment may be accomplished by retrieving information about
- Traffic signs which do not have to be taken into account when driving on the selected route for example because these traffic rules relate to an alternative route, such as a motorway exit which is not on the intended route, can thus be used when setting the
- the sensing of one or more driving-dependent parameters may further include detecting a distance of the vehicle from the detected roadway equipment.
- the distance of the vehicle to a roadside equipment is crucial to whether the roadside equipment is relevant in the present driving situation. If a traffic sign, which specifies an allowed maximum speed on a road section, is still several hundred meters away, an adaptation of the
- Traffic sign can perceive optically and the traffic sign is to be considered at the same time.
- the speed, the acceleration and the set steering angle of the vehicle and the brightness inside or outside the vehicle are driving-dependent parameters, which include adjusting one or more display characteristics of the vehicle Map representation.
- the detection of one or more driving-dependent parameters preferably also includes detecting the current speed of the vehicle, detecting the current acceleration of the vehicle, detecting the currently set steering angle of the vehicle and / or detecting a brightness value inside and / or outside the vehicle , For example, an adaptation of the representation scale and / or the presentation perspective in dependence of
- Detecting one or more driving-dependent parameters may include sensing a distance of the vehicle to a predefined position.
- Predefined positions can be retrieved, for example, from an in-vehicle memory or from a service, in particular an online service.
- Predefined positions along a route may include, for example, buildings, such as tunnels or bridges, or mark entrances and exits.
- driving situation-dependent parameters include.
- the representation scale can be in this
- Driving situation are set so that the driver a correspondingly large roadway section is displayed because detailed information on the road for the driver in the present driving situation are not relevant.
- driving situations in which the driver needs detailed information about the road to be expected soon, for example in the area of an inner-city intersection or in the area of a motorway interchange, which is to be used to change to another motorway.
- the representation scale can in this
- Driving situations are set so that the driver detailed information about the road or the road are displayed.
- the presentation perspective of the map display can be set in the area of traffic route-relevant traffic signs in such a way that the traffic signs in the map display can be displayed clearly and comprehensibly.
- the setting of one or more display properties of the map representation in dependence on the one or more detected driving-situation-dependent parameters may alternatively or additionally comprise manipulating the map display in dependence on the one or more detected driving-situation-dependent parameters. This may include, for example, fading in to be followed traffic rules. In this way, the clarity and clarity of the map display can be further increased.
- Adjusting the representation scale in response to the one or more detected driving-dependent parameters may include retrieving one or more scale models, each scale model depending on the dependency of the one or more scale models
- a specific representation scale can be assigned to each value of a detected driving-situation-dependent parameter, such as the distance to a maneuvering area or the current vehicle speed.
- a very precise control of the representation scale of the map representation depending on one or more detected driving-situation-dependent parameter such as the distance to a maneuvering area or the current vehicle speed.
- Adjusting the presentation perspective in response to the one or more detected driving-dependent parameters may include retrieving one or more inclination models, each inclination model determining the dependency of the one or more inclination models
- each value of a detected driving situation-dependent parameter such as the distance to a maneuver area or the current vehicle speed
- a concrete representation perspective can be assigned.
- Inclination models can each be designed as a characteristic curve or as a characteristic field. Via a characteristic curve or a characteristic field, the one or more scale models and / or the one or more tilt models can be graphically represented in the form of a graph. This allows, for example, a technician or the driver via a corresponding menu to change the one or more scale models and / or the one or more tilt models, so that the map display can be customized to the driver.
- Inclination models can at least partially follow a linear function, a quadratic function, a polynomial function, a root function, a logarithm function, a trigonometric function and / or an exponential function. If the one or more scale models and / or the one or more tilt models of a corresponding function follow, the adaptation is possible in a particularly simple manner, namely by modification of the stored function.
- a linear function is particularly suitable for defining a scale model which defines the dependency of the representation scale on the vehicle speed.
- a logarithm function is particularly suitable for defining a tilt model which determines the dependence of the presentation perspective on the vehicle speed.
- Inclination models can be designed as multi-dimensional functions.
- Pitch models are designed as three-dimensional, four-dimensional or five-dimensional functions.
- the use of multi-dimensional functions is advantageous if the representation scale and / or the presentation perspective of several
- Representation scale and / or the presentation perspective for example, be dependent on a function that takes into account both the distance of the vehicle to a maneuvering area and the vehicle speed.
- the map display is thus adapted even more precisely to the present driving situation.
- a representation scale based on the scale model that defines the dependency of the representation scale on the driving situation dependent parameter to which the highest priority has been assigned For example, the vehicle is approaching a highway construction site at a comparatively high speed, and for the
- a first scale model which defines the scale of presentation in dependence on the vehicle speed
- a second scale model which sets the scale of presentation in dependence on the distance to the construction site sign.
- the setting of the representation scale can be changed depending on the assigned priority values, for example, exclusively according to the first scale model or the second scale model.
- the two scale models can also be weighted according to their priority value, so that a representation scale can be set which takes into account both scale models.
- a presentation perspective on the basis of the tilt model which defines the dependency of the presentation perspective on the driving situation-dependent parameter to which the highest priority has been assigned. For example, the vehicle approaches a city intersection at a comparatively high speed, the intersection already being visually perceptible to the vehicle driver. In this situation, a first tilt model, which depicts the viewpoint depending on the
- Vehicle speed determines to collide with a second tilt model, which sets the display perspective depending on the distance to the intersection.
- a second tilt model which sets the display perspective depending on the distance to the intersection.
- the adjustment of the presentation perspective depending on the assigned priority values for example, exclusively according to the first tilt model or the second tilt model.
- the two tilt models can also be weighted according to their priority value, so that a presentation perspective can be set, which both tilt models
- Manipulating the map representation in dependence on the one or more detected driving-condition-dependent parameters may include integrating one or more objects into the map representation depending on the one or more detected
- the objects that can be integrated into the map display are, for example, street equipment, in particular traffic signs, and / or street peripheral devices, such as gas stations, truck stops, restaurants or
- the device comprises a data processing unit, a
- Detection device for detecting one or more driving situation-dependent parameters, wherein at least one driving situation-dependent parameter of the geographical Position of the vehicle is dependent, and a display device for playing a map display.
- the device according to the invention is set up to carry out a method for the situation-dependent reproduction of a map display in a vehicle according to one of the embodiments described above. The same advantages and modifications apply as described above.
- the vehicle according to the invention comprises a device for driving situation-dependent reproduction of a map representation, wherein the device is designed according to the embodiment described above.
- the same advantages and modifications apply as described above.
- Figure 1 shows a vehicle according to the invention with a device according to the invention for driving situation-dependent playback of a map display;
- Figure 2 is a flow chart of the inventive method for
- FIG. 3 several scale and tilt models.
- Figure 1 shows an inventive vehicle 24, which is a device 10 for
- the device 10 comprises a data processing unit 12, a detection device 14 for detecting a plurality of driving-condition-dependent parameters and a display device 16 for displaying a map representation.
- the detection device 14 of the device 10 has a communication module, by means of which a data exchange with an online client 22 can take place.
- Detector 14 is adapted to position objects, such as
- Roadside equipment may be traffic signs, for example.
- the device 10 has an in-vehicle memory 18, which is signal-conducting connected to the data processing device 12.
- the device 10 has an in-vehicle memory 18, which is signal-conducting connected to the data processing device 12.
- In-vehicle memory 18 stores street map material.
- the vehicle-internal memory 18 is also signal-conducting connected to the detection device 14.
- the detection device 14 can detect maneuver areas and objects which are stored in the road map material on the in-vehicle memory 18.
- the device 10 has a device 20 for geographical
- Position determination on. The device 20 is also signal-conducting with the
- the device 20 in this example comprises a GPS (Global Positioning System) module and is adapted to the GPS (Global Positioning System) module
- Data processing device 12 to continuously provide data on the current geographical position of the vehicle 24.
- the detection device 14 is thus able to detect all maneuver areas within which a driving maneuver is to be carried out for following a selected route.
- the detection device 14 may be located along the travel route
- the data processing device 12 is set up to display the representation scale and the presentation perspective of the map representation as a function of the distance to the respective detected maneuver areas, the distance to the respective detected areas
- Map display is based on several stored in the in-vehicle memory 18 scale and tilt models.
- the scale models define the
- the Inclination models also define the dependency of the presentation perspective on the distance to the respective detected maneuver areas, the distance to the respective detected street equipment, and the current vehicle speed.
- Figure 2 shows an embodiment of the inventive method for
- Detecting the plurality of driving-dependent parameters requires knowledge of the device via a suitable driving route to reach a particular route destination.
- the detection of the plurality of driving-dependent parameters thus comprises the following step:
- the road area within which the next driving maneuver is to be carried out can be determined, namely with the following step:
- Vehicle position which can be determined for example via an in-vehicle device for geographical position determination, the distance detection takes place to the maneuver area with the step:
- the detected distance of the vehicle to the detected maneuvering area is a
- the driving situation-dependent parameter which is dependent on the geographical position of the vehicle, and thus represents one of the several driving situation-dependent parameters, based on which the map display is adjusted.
- the distance of the vehicle becomes, for example, a location entrance sign
- Vehicle speed is taken into account as another driving-condition-dependent parameter, so that the following step is carried out:
- the detection of the current vehicle speed via an in-vehicle speed sensor via an in-vehicle speed sensor.
- the vehicle is also set to the current
- the detected driving situation-dependent parameters are the distance of the vehicle from the detected maneuvering area, the distance of the vehicle to the detected local entrance sign and the vehicle speed.
- the following step is carried out:
- the first scale model defining the dependency of the representation scale from the distance of the vehicle to the entrance sign
- the second scale model defining the dependency of the representation scale on the vehicle speed
- the first retrieved scale model defines the representation scale as a function of the distance of the vehicle to the entrance sign. Each distance value is thus assigned a concrete representation scale.
- the second retrieved scale model defines the representation scale as a function of the current vehicle speed. Each vehicle speed is thus assigned a concrete representation scale.
- the place entrance sign is already in sight of
- Viewing perspective for the present driving situation can be set, the following step is carried out: 54) retrieving two tilt models, wherein the first tilt model defines the dependency of the presentation perspective on the distance of the vehicle to the detected maneuver area and the second tilt model defines the dependency of the
- the first retrieved slope model defines the view perspective as a function of the distance of the vehicle to the maneuver area. Each distance value is thus assigned a concrete presentation perspective.
- the second retrieved slope model defines the presentation perspective as a function of the current vehicle speed. Each vehicle speed is thus assigned a concrete presentation perspective.
- the maneuvering area is already in sight of the
- Figure 3 shows a total of three tilt models 84-88 and three scale models 90-94.
- the tilt model 84 defines the dependence of the presentation perspective on the vehicle speed.
- the illustrated coordinate system underlying the tilt model 84 extends on the vertical axis from a first tilt angle 64, for example 0 degrees, to a second tilt angle 66, for example 90 degrees, and on the horizontal axis from a first vehicle speed 68, for example 0 km / h (kilometers per hour), up to a second vehicle speed 70, for example 250 km / h.
- the tilt model 84 follows a linear function.
- the scale model 90 defines the dependency of the representation scale on the
- the illustrated coordinate system on which the scale model 90 is based extends on the vertical axis from a first one
- Representation scale 72 for example, 1: 100
- a second display scale 74 for example, 1: 40000
- Vehicle speed 68 for example, 0 km / h (kilometers per hour), up to a second vehicle speed 70, for example, 250 km / h.
- the scale model 90 follows a logarithm function.
- the tilt model 86 defines the dependency of the view perspective on the distance to a traffic sign.
- the illustrated coordinate system which is the
- Inclination model 86 extends on the vertical axis from a first inclination angle 64, for example 0 degrees, to a second inclination angle 66, for example 90 degrees, and on the horizontal axis from a first distance 76 to the traffic sign, for example 0 meters, to a second distance 78 to the
- the slope model 86 follows in a first portion of a linear function and in a second portion of a constant.
- the scale model 92 defines the dependency of the representation scale on the distance to the traffic sign.
- the illustrated coordinate system on which the scale model 92 is based extends on the vertical axis from a first one
- Representation scale 72 for example 1: 100
- a second display scale 74 for example, 1: 40000
- the scale model 92 follows in a first portion of a logarithm function and in a second portion of a constant.
- the tilt model 88 defines the dependence of the view perspective on the distance to a highway exit.
- the illustrated coordinate system which is the
- Inclination model 88 extends on the vertical axis from a first inclination angle 64, for example 0 degrees, to a second inclination angle 66, for example 90 degrees, and on the horizontal axis from a first distance 80 to the highway exit, for example 0 meters, to a second distance 82 to the
- the slope model 88 follows in a first portion of a linear function and in a second portion of a constant.
- the scale model 94 defines the dependency of the representation scale on the distance to the highway exit.
- the illustrated coordinate system on which the scale model 94 is based extends on the vertical axis from a first one
- Representation scale 72 for example, 1: 100
- a second display scale 74 for example, 1: 40000
- the scale model 94 follows in a first portion of a polynomial function and in a second portion of a constant.
- the invention thus allows an automatic adaptation of the map representation under
- the map is displayed on a smartphone, which is carried in the vehicle. Corresponding information will be through
- Coupling with the vehicle for example via a wireless interface such as wlan, transmitted to the smartphone (mobile device).
- a wireless interface such as wlan
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- Engineering & Computer Science (AREA)
- Remote Sensing (AREA)
- Radar, Positioning & Navigation (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Automation & Control Theory (AREA)
- Theoretical Computer Science (AREA)
- Educational Technology (AREA)
- Educational Administration (AREA)
- Business, Economics & Management (AREA)
- Mathematical Physics (AREA)
- Computer Networks & Wireless Communication (AREA)
- Navigation (AREA)
- Traffic Control Systems (AREA)
- Control Of Driving Devices And Active Controlling Of Vehicle (AREA)
Abstract
Description
Claims
Applications Claiming Priority (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| DE102016207991.3A DE102016207991B4 (de) | 2016-05-10 | 2016-05-10 | Verfahren zur fahrsituationsabhängigen Wiedergabe einer Kartendarstellung in einem Fahrzeug |
| PCT/EP2017/058599 WO2017194255A1 (de) | 2016-05-10 | 2017-04-11 | Verfahren zur fahrsituationsabhängigen wiedergabe einer kartendarstellung in einem fahrzeug |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| EP3455843A1 true EP3455843A1 (de) | 2019-03-20 |
Family
ID=58609372
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| EP17718858.8A Withdrawn EP3455843A1 (de) | 2016-05-10 | 2017-04-11 | Verfahren zur fahrsituationsabhängigen wiedergabe einer kartendarstellung in einem fahrzeug |
Country Status (5)
| Country | Link |
|---|---|
| US (1) | US11280632B2 (de) |
| EP (1) | EP3455843A1 (de) |
| CN (1) | CN109074758A (de) |
| DE (1) | DE102016207991B4 (de) |
| WO (1) | WO2017194255A1 (de) |
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| US10302446B2 (en) * | 2016-06-12 | 2019-05-28 | Apple Inc. | Context driven navigation presentation |
| US10801856B2 (en) * | 2018-01-08 | 2020-10-13 | Toyota Motor Engineering & Manufacturing North America, Inc. | Automatic vehicle map display scaling system |
| CN111664863B (zh) * | 2019-03-07 | 2022-02-01 | 腾讯科技(深圳)有限公司 | 一种播报信息的处理方法、装置及存储介质 |
| DE102019208861A1 (de) | 2019-06-18 | 2020-12-24 | Volkswagen Aktiengesellschaft | Verfahren zum Bereitstellen von Infotainment-Inhalten |
| US12174023B2 (en) * | 2019-11-27 | 2024-12-24 | Here Global B.V. | Method and system to validate road signs |
| TWI766647B (zh) * | 2021-04-19 | 2022-06-01 | 逢甲大學 | 虛擬導航路徑生成方法 |
| DE102021128711B3 (de) | 2021-11-04 | 2023-02-16 | Cariad Se | Verfahren zum Bereitstellen einer Augmented-Reality-Navigationsanzeige in einem Kraftfahrzeug |
| CN115145671B (zh) * | 2022-06-30 | 2026-02-10 | 腾讯科技(深圳)有限公司 | 车辆导航方法、装置、设备、存储介质和计算机程序产品 |
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| JP2011099815A (ja) | 2009-11-09 | 2011-05-19 | Clarion Co Ltd | ナビゲーション装置及び車線案内方法 |
| DE102012217013B3 (de) * | 2012-09-21 | 2014-03-06 | Continental Automotive Gmbh | Verfahren und Vorrichtung zur Fahrzeugkommunikation |
| DE102012024873A1 (de) * | 2012-12-19 | 2014-06-26 | Audi Ag | Verfahren und Steuervorrichtung zum Bereitstellen eines vorausliegenden Straßenverlaufs |
| DE102013000069B4 (de) | 2013-01-08 | 2022-08-11 | Audi Ag | Kraftfahrzeug-Bedienschnittstelle mit einem Bedienelement zum Erfassen einer Bedienhandlung |
| GB201318049D0 (en) | 2013-10-11 | 2013-11-27 | Tomtom Int Bv | Apparatus and methods of displaying navigation instructions |
| DE102013222020A1 (de) | 2013-10-30 | 2015-04-30 | Robert Bosch Gmbh | Verfahren und Vorrichtung zum Bereitstellen einer Ereignismeldung bezüglich eines einem Fahrzeug bevorstehenden Ereignisses |
| DE102014201158A1 (de) | 2014-01-23 | 2015-07-23 | Robert Bosch Gmbh | Verfahren und Vorrichtung zum Überprüfen eines von einer Objekterkennung erkannten relevanten Objekts |
| US20150300828A1 (en) * | 2014-04-17 | 2015-10-22 | Ford Global Technologies, Llc | Cooperative learning method for road infrastructure detection and characterization |
| DE102016208025B4 (de) * | 2016-05-10 | 2019-06-27 | Continental Automotive Gmbh | Verfahren zur Erfassung von Verkehrszeichen |
-
2016
- 2016-05-10 DE DE102016207991.3A patent/DE102016207991B4/de active Active
-
2017
- 2017-04-11 US US16/099,249 patent/US11280632B2/en active Active
- 2017-04-11 CN CN201780028812.9A patent/CN109074758A/zh active Pending
- 2017-04-11 WO PCT/EP2017/058599 patent/WO2017194255A1/de not_active Ceased
- 2017-04-11 EP EP17718858.8A patent/EP3455843A1/de not_active Withdrawn
Also Published As
| Publication number | Publication date |
|---|---|
| DE102016207991A1 (de) | 2017-11-16 |
| WO2017194255A1 (de) | 2017-11-16 |
| DE102016207991B4 (de) | 2022-09-15 |
| US20190195648A1 (en) | 2019-06-27 |
| US11280632B2 (en) | 2022-03-22 |
| CN109074758A (zh) | 2018-12-21 |
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