CN104977876A - Usage Prediction For Contextual Interface - Google Patents

Usage Prediction For Contextual Interface Download PDF

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Publication number
CN104977876A
CN104977876A CN201510167368.1A CN201510167368A CN104977876A CN 104977876 A CN104977876 A CN 104977876A CN 201510167368 A CN201510167368 A CN 201510167368A CN 104977876 A CN104977876 A CN 104977876A
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China
Prior art keywords
vehicle
feature
parking
selectable option
final position
Prior art date
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Granted
Application number
CN201510167368.1A
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Chinese (zh)
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CN104977876B (en
Inventor
迪米塔·彼特诺夫·菲利夫
杰弗瑞·艾伦·格林波尔格
瑞恩·亚伯拉罕·麦吉
约翰内斯·盖尔·克里斯汀森
曾福林
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Ford Global Technologies LLC
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Ford Global Technologies LLC
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Filing date
Publication date
Priority claimed from US14/249,931 external-priority patent/US20140303839A1/en
Application filed by Ford Global Technologies LLC filed Critical Ford Global Technologies LLC
Publication of CN104977876A publication Critical patent/CN104977876A/en
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Publication of CN104977876B publication Critical patent/CN104977876B/en
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Classifications

    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60K—ARRANGEMENT OR MOUNTING OF PROPULSION UNITS OR OF TRANSMISSIONS IN VEHICLES; ARRANGEMENT OR MOUNTING OF PLURAL DIVERSE PRIME-MOVERS IN VEHICLES; AUXILIARY DRIVES FOR VEHICLES; INSTRUMENTATION OR DASHBOARDS FOR VEHICLES; ARRANGEMENTS IN CONNECTION WITH COOLING, AIR INTAKE, GAS EXHAUST OR FUEL SUPPLY OF PROPULSION UNITS IN VEHICLES
    • B60K37/00—Dashboards
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B19/00—Programme-control systems
    • G05B19/02—Programme-control systems electric
    • G05B19/04—Programme control other than numerical control, i.e. in sequence controllers or logic controllers
    • G05B19/042—Programme control other than numerical control, i.e. in sequence controllers or logic controllers using digital processors
    • 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
    • B60W50/00—Details of control systems for road vehicle drive control not related to the control of a particular sub-unit, e.g. process diagnostic or vehicle driver interfaces
    • B60W50/08—Interaction between the driver and the control system
    • 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
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60K—ARRANGEMENT OR MOUNTING OF PROPULSION UNITS OR OF TRANSMISSIONS IN VEHICLES; ARRANGEMENT OR MOUNTING OF PLURAL DIVERSE PRIME-MOVERS IN VEHICLES; AUXILIARY DRIVES FOR VEHICLES; INSTRUMENTATION OR DASHBOARDS FOR VEHICLES; ARRANGEMENTS IN CONNECTION WITH COOLING, AIR INTAKE, GAS EXHAUST OR FUEL SUPPLY OF PROPULSION UNITS IN VEHICLES
    • B60K35/00—Instruments specially adapted for vehicles; Arrangement of instruments in or on vehicles
    • B60K35/10—Input arrangements, i.e. from user to vehicle, associated with vehicle functions or specially adapted therefor
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60K—ARRANGEMENT OR MOUNTING OF PROPULSION UNITS OR OF TRANSMISSIONS IN VEHICLES; ARRANGEMENT OR MOUNTING OF PLURAL DIVERSE PRIME-MOVERS IN VEHICLES; AUXILIARY DRIVES FOR VEHICLES; INSTRUMENTATION OR DASHBOARDS FOR VEHICLES; ARRANGEMENTS IN CONNECTION WITH COOLING, AIR INTAKE, GAS EXHAUST OR FUEL SUPPLY OF PROPULSION UNITS IN VEHICLES
    • B60K35/00—Instruments specially adapted for vehicles; Arrangement of instruments in or on vehicles
    • B60K35/20—Output arrangements, i.e. from vehicle to user, associated with vehicle functions or specially adapted therefor
    • B60K35/29—Instruments characterised by the way in which information is handled, e.g. showing information on plural displays or prioritising information according to driving conditions
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60K—ARRANGEMENT OR MOUNTING OF PROPULSION UNITS OR OF TRANSMISSIONS IN VEHICLES; ARRANGEMENT OR MOUNTING OF PLURAL DIVERSE PRIME-MOVERS IN VEHICLES; AUXILIARY DRIVES FOR VEHICLES; INSTRUMENTATION OR DASHBOARDS FOR VEHICLES; ARRANGEMENTS IN CONNECTION WITH COOLING, AIR INTAKE, GAS EXHAUST OR FUEL SUPPLY OF PROPULSION UNITS IN VEHICLES
    • B60K35/00—Instruments specially adapted for vehicles; Arrangement of instruments in or on vehicles
    • B60K35/60—Instruments characterised by their location or relative disposition in or on vehicles
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B62—LAND VEHICLES FOR TRAVELLING OTHERWISE THAN ON RAILS
    • B62D—MOTOR VEHICLES; TRAILERS
    • B62D15/00—Steering not otherwise provided for
    • B62D15/02—Steering position indicators ; Steering position determination; Steering aids
    • B62D15/027—Parking aids, e.g. instruction means
    • 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
    • G01S19/51—Relative positioning
    • 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
    • G01S19/52—Determining velocity
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
    • G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
    • G06F3/048—Interaction techniques based on graphical user interfaces [GUI]
    • G06F3/0484—Interaction techniques based on graphical user interfaces [GUI] for the control of specific functions or operations, e.g. selecting or manipulating an object, an image or a displayed text element, setting a parameter value or selecting a range
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F7/00—Methods or arrangements for processing data by operating upon the order or content of the data handled
    • 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
    • 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
    • G08G1/09626—Arrangements for giving variable traffic instructions having an indicator mounted inside the vehicle, e.g. giving voice messages where the origin of the information is within the own vehicle, e.g. a local storage device, digital map
    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/14—Traffic control systems for road vehicles indicating individual free spaces in parking areas
    • G08G1/141—Traffic control systems for road vehicles indicating individual free spaces in parking areas with means giving the indication of available parking spaces
    • G08G1/143—Traffic control systems for road vehicles indicating individual free spaces in parking areas with means giving the indication of available parking spaces inside the vehicles
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60K—ARRANGEMENT OR MOUNTING OF PROPULSION UNITS OR OF TRANSMISSIONS IN VEHICLES; ARRANGEMENT OR MOUNTING OF PLURAL DIVERSE PRIME-MOVERS IN VEHICLES; AUXILIARY DRIVES FOR VEHICLES; INSTRUMENTATION OR DASHBOARDS FOR VEHICLES; ARRANGEMENTS IN CONNECTION WITH COOLING, AIR INTAKE, GAS EXHAUST OR FUEL SUPPLY OF PROPULSION UNITS IN VEHICLES
    • B60K2360/00—Indexing scheme associated with groups B60K35/00 or B60K37/00 relating to details of instruments or dashboards
    • B60K2360/11—Instrument graphical user interfaces or menu aspects
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60K—ARRANGEMENT OR MOUNTING OF PROPULSION UNITS OR OF TRANSMISSIONS IN VEHICLES; ARRANGEMENT OR MOUNTING OF PLURAL DIVERSE PRIME-MOVERS IN VEHICLES; AUXILIARY DRIVES FOR VEHICLES; INSTRUMENTATION OR DASHBOARDS FOR VEHICLES; ARRANGEMENTS IN CONNECTION WITH COOLING, AIR INTAKE, GAS EXHAUST OR FUEL SUPPLY OF PROPULSION UNITS IN VEHICLES
    • B60K2360/00—Indexing scheme associated with groups B60K35/00 or B60K37/00 relating to details of instruments or dashboards
    • B60K2360/143—Touch sensitive instrument input devices
    • B60K2360/1438—Touch screens
    • B60K2360/1442—Emulation of input devices
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60K—ARRANGEMENT OR MOUNTING OF PROPULSION UNITS OR OF TRANSMISSIONS IN VEHICLES; ARRANGEMENT OR MOUNTING OF PLURAL DIVERSE PRIME-MOVERS IN VEHICLES; AUXILIARY DRIVES FOR VEHICLES; INSTRUMENTATION OR DASHBOARDS FOR VEHICLES; ARRANGEMENTS IN CONNECTION WITH COOLING, AIR INTAKE, GAS EXHAUST OR FUEL SUPPLY OF PROPULSION UNITS IN VEHICLES
    • B60K2360/00—Indexing scheme associated with groups B60K35/00 or B60K37/00 relating to details of instruments or dashboards
    • B60K2360/18—Information management
    • B60K2360/186—Displaying information according to relevancy
    • 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
    • B60W50/00—Details of control systems for road vehicle drive control not related to the control of a particular sub-unit, e.g. process diagnostic or vehicle driver interfaces
    • B60W50/08—Interaction between the driver and the control system
    • B60W50/14—Means for informing the driver, warning the driver or prompting a driver intervention
    • B60W2050/146—Display means
    • 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

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  • Engineering & Computer Science (AREA)
  • Radar, Positioning & Navigation (AREA)
  • General Physics & Mathematics (AREA)
  • Remote Sensing (AREA)
  • Physics & Mathematics (AREA)
  • Transportation (AREA)
  • Mechanical Engineering (AREA)
  • Combustion & Propulsion (AREA)
  • Chemical & Material Sciences (AREA)
  • Automation & Control Theory (AREA)
  • Theoretical Computer Science (AREA)
  • General Engineering & Computer Science (AREA)
  • Human Computer Interaction (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Control Of Driving Devices And Active Controlling Of Vehicle (AREA)
  • Traffic Control Systems (AREA)
  • User Interface Of Digital Computer (AREA)
  • Navigation (AREA)

Abstract

The invention discloses a usage prediction for contextual interface. A vehicle interface system may include an interface configured to present icons representing selectable vehicle features; and a controller programmed to generate a score for each of the features based on a contextual variable including one or all of a vehicle location, vehicle speed, past feature usage information, and a predicted end location for the vehicle, and display certain of the icons and hide other of the icons based on the generated scores.

Description

For the usage forecastings at situation interface
This application claims on April 10th, 2014 submit in U.S.Patent & Trademark Office the 14/249th, the right of priority of No. 931 U.S. Patent applications, the whole open of this application is contained in this by reference.
Technical field
The disclosure relates to the usage forecastings for situation interface.
Background technology
Traditional vehicle comprises permission vehicle driver and vehicle carries out mutual many systems.Especially, traditional vehicle provides device and the technology of various control and each subsystem of monitoring vehicle and function.Along with the progress of technology, increasing feature is introduced into each subsystem controlled in vehicle.Some in these features can by user interface presentation to user.But these features may be demonstrated in a position-stable manner to user.Therefore, need reinforcement and flexibly system the feature of vehicle is showed user.
Summary of the invention
A kind of vehicle interfaces system can comprise: interface, is configured to show the icon representing optional vehicle characteristics; Controller, is configured to: produce for the mark of each feature based on situational variable, and wherein, situational variable comprises vehicle location, car speed and one or all in the final position of the prediction of vehicle; The special icon in described icon is shown and other icon hidden in described icon based on the mark produced.
According to one embodiment of present invention, at least one situational variable comprises final position data, described final position data comprise the use designator showing that the history of vehicle characteristics uses, and controller is configured to produce mark based on the use designator of vehicle characteristics at least in part.
According to one embodiment of present invention, feature comprises the parking supplemental characteristic being configured to be convenient to parallel parked vehicles.
According to one embodiment of present invention, mark represent each icon by via interface by the possibility selected.
A kind of vehicle control device can comprise: at least one situation module, and be configured to produce at least one situational variable representing driving-situation, at least one situational variable described comprises vehicle location or car speed; Processor, is configured to: produce feature scores based on one of the vehicle location and car speed that are defined by least one situational variable described or both, wherein, feature scores represent vehicle characteristics by based on driving-situation by the possibility selected; Feature based mark shows the special icon in described icon and hides other icon of described icon.
According to one embodiment of present invention, icon is associated with vehicle characteristics and is demonstrated via interface device, with the system interaction be associated with described vehicle characteristics, vehicle characteristics comprises at least one of the parking supplemental characteristic being configured to be convenient to parallel parked vehicles.
One method can comprise: receive at least one situational variable from situation module; Feature scores is produced based at least one situational variable described; The icon be associated with vehicle characteristics is shown to interface device by feature based mark, and described icon is configured to and the system interaction be associated with corresponding vehicle characteristics.
According to one embodiment of present invention, based on feature scores being compared with the further feature mark of other icon and sorting to icon based on each feature scores be associated with icon, carry out display icon, wherein, the sequence of icon is caused to other icon special icon display in described icon also hidden on a user interface in described icon.
According to one embodiment of present invention, receive extra situational variable, and when receiving described extra situational variable continuous updating feature scores icon is sorted.
According to one embodiment of present invention, at least one situational variable described comprises current location and final position, and feature scores is produced based on the distance between current location and final position.
According to one embodiment of present invention, final position is defined by user, or is identified based on previous driving behavior, or is identified based on parking spot data.
According to one embodiment of present invention, at least one situational variable described comprises at least one final position data, at least one final position data described comprise the use designator showing that the history of icon uses, and feature scores is produced based on the use designator of icon.
Accompanying drawing explanation
Figure 1A shows the example components of user interface system;
Figure 1B is the block diagram of the example components in the user interface system of Figure 1A;
Fig. 2 shows the process flow diagram of the exemplary process can implemented by user interface system;
Fig. 3 shows the block diagram of the possible embodiment of the user interface system of Figure 1A;
Fig. 4 shows can the process flow diagram of possible embodiment performed by the user interface system of Fig. 3; And
Fig. 5 shows the process flow diagram of the alternate embodiments that may be performed by the user interface system of Fig. 3;
Fig. 6 shows the exemplary position database that can be utilized by the user interface system of Figure 1A;
Chart that Fig. 7 A shows the example components output of the user interface system of Figure 1A, that show the example fractional of the possibility of stopping;
Chart that Fig. 7 B shows the example components output of the user interface system of Figure 1A, that show the example fractional of the possibility of stopping;
Fig. 8 shows the block diagram for generation of feature scores;
Fig. 9 A to Fig. 9 C is the example data chart of the situational variable shown for generation of feature scores;
Figure 10 shows the exemplary process diagram for generation of feature scores certificate.
Embodiment
As required, at this, specific embodiment of the present invention is disclosed; But will be appreciated that the disclosed embodiments are only examples of the present invention, the present invention can realize with various alternative form.Accompanying drawing is not necessarily to scale; Can exaggerate or minimize some features to illustrate the details of specific components.Therefore, specific structural details disclosed herein and function detail should not be interpreted as having restricted, and as just for instructing those skilled in the art to implement representative basis of the present invention in a variety of forms.
Vehicle interfaces can be provided for allowing user access Vehicular system and carry out mutual various options with Vehicular system.These systems can comprise atmosphere control system, navigational system, shutdown system etc.Each system can enable multiple vehicle characteristics, and control of such as cruising, driving direction, parking are assisted.Special time between the vehicle operating period, some feature in these features may be more relevant to current driving condition more possibly than other features.Such as, when vehicle is run at high speed, driver more may use the controlling feature that cruises, and more impossible use parking feature.As another example, when vehicle is with speeds lower than 20 miles per hour, unlikely the controlling feature that cruises can be enabled.In this case, use the impossibility of the controlling feature that cruises that this feature can be made hiding for driver.Based on driving-situation, vehicle interfaces system can use the possibility of this deduction in the user interface promoting special characteristic and be displayed in vehicle.That is, the special icon be associated with vehicle characteristics can be easily selected by a user the possibility of use based on them and be shown or hide.Therefore, user can easily watch and select correlated characteristic.Can not show can not or unlikely by the feature used, thus during driver, do not use unnecessary option and cause burden to driver.In the example of parking feature (such as, auxiliary, rear view camera of stopping), particular variables can be used to produce feature scores.Such as, the distance between current location and destination can be used to determine that driver uses the possibility of parking feature.Extraly, driver also can be used previously to have selected in destination the number of times of feature and the present speed of vehicle to determine feature scores, and correspondingly promote parking feature in user interface.In addition, the current state of feature can be observed.If feature in use, then do not need to promote this feature.
Vehicle may have the controller being configured to receiving sensor input.Controller can produce feature scores based on the position data in sensor input and database at least in part.Feature scores can be associated with selectable option by controller.Controller can show selectable option in response to feature scores by indicative user interface device, therefore, makes user can check that it may interested option based on some attributes (such as sensor input and position data).In one example, selectable option can comprise parking Accessibility choice and/or option of parking.Parking Accessibility choice (when selected) automatically can stop their vehicle by driver assistance.That is, vehicle can turn to voluntarily to enter and stop position, no matter is parallel or vertically stops, and user needs even not need input hardly.In another example, option of parking can be available.The pattern of parking can be activated close to ad-hoc location (such as hotel, restaurant, the bar etc.) place with the service of parking.Therefore, when vehicle may want close to user to utilize stop the facility of auxiliary or option of parking time, example system may detect.These options can obtain to be better than such as cruising and control the right to choose of other such vehicle characteristics, and show user by user interface device.The pattern of parking can make the display screen blank screen or dimmed in vehicle, thus the driver performing the service of parking can not obtain personal information and preference.Pattern feature of parking is provided in the system with navigational system and information entertainment usually.This information of the home address of such as car owner can not be obtained by undelegated driver.
Figure 1A shows exemplary user interface system.This system can take a number of different forms, and comprises multiple and/or alternative assembly and equipment.Although show example system in the drawings, the example components shown in figure is not intended to limit.In fact, assembly that is extra or that substitute and/or embodiment can be used.
Figure 1A shows the diagram of user interface system 100.Although the present embodiment can be used in automobile, user interface system 100 can also be used to other vehicle any, includes, but are not limited to, motorcycle, ship, aircraft, helicopter, offroad vehicle, freight truck etc.
See Figure 1A and 1B, system 100 comprises user interface device 105.User interface device 105 can comprise independent interface, such as, and single touch screen or multiple interface.User interface system 100 can also comprise interface or multiple interface type (such as Voice & Video) of single type, and it is configured to for carrying out man-machine interaction.Interface device 105 can comprise the display of such as touch-screen.Interface device 105 also can comprise the display controlled by various hardware controls element.Interface device 105 also can comprise HUD (HUD) unit, and wherein, image is projected on the windshield of vehicle.User interface device 105 can be configured to receive the user's input coming from automotive occupant.User interface device such as can comprise control knob and/or display control knob (such as, hard button and/or soft key) on a touch-screen display, and this button makes user can input order for user interface system 100 and information.The input being supplied to user interface device 105 can pass to controller 110 to control the various aspects of vehicle.Such as, be supplied to user interface device 105 input can by controller 110 for the weather in monitoring vehicle, the playback that control media mutual with navigational system, use to stop and assist etc.User interface device 105 can also comprise and makes user can the microphone of Oral input order or out of Memory.
What communicate with user interface device 105 is controller 110.Controller 110 can comprise any calculation element, and this calculation element is configured to perform the computer-readable instruction controlling user interface device 105 as discussed in the present invention.Such as, controller 110 can comprise processor 115, situation module 120 and external data memory 130.External data memory 130 can comprise flash memory, RAM (random access memory), EPROM (EPROM (Erasable Programmable Read Only Memory)), EEPROM (EEPROM (Electrically Erasable Programmable Read Only Memo)), hard disk drive, or other type of memory any or its combination.Selectively, situation module 120 and external data memory 130 can be merged in processor.In another embodiment, may have multiple control module communicated with one another, each all comprises processor 115, situation module 120 and external data memory 130.Controller 110 can be integrated with user interface device 105 or be separated with it.
In a word, computing system and/or device (such as controller 110 and user interface device 105) can adopt any one in many computer operating systems, Microsoft Windows operating system that these computer operating systems comprise (but being never limited to), Unix operating system (such as, the solaris operating system that the Oracle (Oracle Corporation) of California Redwood City (Redwood Shores) issues), the AIX UNIX operating system that the International Business Machine Corporation (IBM) (InternationalBusiness Machines) in Armonk, New York city (Armonk) issues, (SuSE) Linux OS, storehouse, California is than the Apple (Apple of Dinon (Cupertino), Inc.) the Mac OS X issued and iOS operating system, the various version of Android (Android) operating system that the BlackBerry operating system (Blackberry OS) issued of dynamic studies company (Research inMotion) of Canada Waterloo city (Waterloo) and open mobile phone alliance (OpenHandset Alliance) are developed and/or mutation.The definite hardware and software of user interface device 105 and controller 110 can be any combination being enough to the function implementing the embodiment that the present invention discusses, and this point, the personnel understanding thoroughly art technology can draw apparently from the disclosure.
Controller 110 can be configured to carry out the availability of controlling feature on user interface device 105 by processor 115.Processor 115 can be configured to, and by detecting the selection to the selectable option on user interface device 105, detects user's input of user's hope of system or the subsystem showing to activate vehicle.For each available feature on vehicle (such as, temperature control, heating seat, stop assist, cruise control etc.) create selectable option.Each selectable option all can control Vehicular system or subsystem.Such as, control selectable option of cruising will control the Vehicular system of the constant speed (or control of cruising) of monitoring vehicle.Other each selectable option can control more than one Vehicular system.Such as, user can select the selectable option belonging to driver assistance technology.This selection controlled stop car supplemental characteristic, and some rear view camera can be made to be activated.Selectable option can comprise the icon be displayed on interface.The text that selectable option also can comprise the vehicle characteristics that the respective option controls describes and other visual representation.
Controller 110 can be configured to the feature determining that driver or passenger most possibly use via processor 115, and considers specific driving-situation, gets rid of that driver/passenger is minimum to use or no feature.In order to determine this moment maximally related feature, controller 110 can receive input that passed on via interface (not shown) by situation module 120 and pedestal sensor 135, that come from multiple situational variable.Interface can comprise the input/output be configured to from each assembly transmission and reception data.Interface can be unidirectional, thus only to transmit data with a direction.Extraly, interface can be two-way, can receive between the components and transmit data.
Controller can comprise multiple situation module 120, and each is all configured to export specific situation or situational variable.Such as, a situation module 120 can be configured to the distance determining known location.Another situation module 120 can be configured to determine the car speed relative to present speed restriction.Another situation module can be configured to determine whether vehicle has entered and require the different new legal order driving law (such as, " hands-free " driver area).In another example, situation module can be configured to accesses data memory 130, to determine in ad-hoc location particular vehicle feature by the frequency used.In another exemplary demonstration, each export all can receive by each in many selectable option, and can by selectable option use and again in order to produce feature scores.That is, each of many situation modules 120 always performs same operation.Such as, for the situation module 120 of the car speed limited relative to present speed, always that situation will be exported, although this situation can receive by different selectable option.Situational variable also can use information for vehicle and vehicle modules to export situation mark.Such as, unless car speed is at less than 10 miles per hour, otherwise parking supplemental characteristic can not work/optional.Under this situation, export situation mark and also encode to the design of vehicle subsystem and/or physical restriction, wherein, described design and/or physical restriction can operate with available for driver/passenger.
Situational variable can represent specific driving condition, such as, and the speed of vehicle or the previous position of driver activation's feature.Situational variable can be the output coming from situation module 120 or pedestal sensor 135.Controller 110 can be configured to the input based on receiving from situation module 120 and pedestal sensor 135, selects the feature with vehicle user mutual height possibility.Such as, controller 110 may show, due to driving-situation or situation, the controlling feature that cruises may be correlated with especially.In an illustrative methods, each the available feature on user interface device 105 all can represented by a specific selectable option.Such as, the selectable option that the feature that garage door is opened can always be opened with garage door is associated.
Situational variable can be the digital value depending on driving-situation.In a possible embodiment, situational variable is in the scope of 0 to 1, and 1 represents most intensity values.Extraly or alternately, situational variable can represent specific situation, such as, external temperature, quantity of precipitation or the distance to specific facilities or destination.Such as, situational variable exports and can show vehicle close to the facility providing the service of parking.Output can show vehicle close to vehicle parking building, parking lot or street parking spot.The situational variable of two types can be had: simple situational variable and intelligent situational variable.Simple situational variable can obtain from pedestal sensor 135.Pedestal sensor 135 can comprise any sensor available on vehicle or sensing system.Such as pedestal sensor 135 can be presented as audio sensor, optical sensor, accelerometer, speed pickup, temperature sensor, navigation sensor (such as Global Positioning System Sensor Unit), etc.Intelligence situational variable can be the output of situation module 120, and can show as other situational variable being polymerized to non-ready-made available value in vehicle.That is, other system or subsystem is not had can to produce separately intelligent situational variable in vehicle.Such as, in order to produce intelligent situational variable, other intelligent situational variable that the simple situational variable that situation module 120 can export from pedestal sensor 135 or situation module 120 export receives input, and these outputs are aggregated into stowed value (such as the polymerization of multiple value).Situation module may be had can to produce the various distinct methods of its value.Such as, technology may relate to simple or senior algebraic manipulation, fuzzy logic, neural network, statistics, frequency statistics deduction etc.
Controller 110 can comprise the position data be stored in database (such as external data memory 130).External data memory 130 can be positioned at controller 110, or as independent assembly.Position data can comprise stop position data, such as, the stop position that vehicle is previous, or selectable option data can be comprised, these data such as can comprise selectable option at the number of times (such as, location-based feature uses) that previous stop position is activated.For parking spot, such as charge in a suitable case/public domain information that is free and/or parking rate can be useful.Position data can also comprise interest point data, point of interest of such as parking, and it shows to provide the position (such as, restaurant, hotel, conference hall, etc.) of the service of parking.Interest point data can comprise the preference of user for given position (such as, crowded facility is compared to secluded facility) extraly.Such as, user can set him/her for the preference providing the restaurant served of parking, and this preference may affect the feature scores being attributed to each selectable option.Although data-carrier store 130 can be included in controller 110, it also can be positioned at the place away from controller 110, and can pass through network (cloud computing resources on such as internet or API (application programming interface)) to communicate with controller 110.
Processor 115 can be configured to, and when the information needing to store is with auxiliary generation selectable option, communicates with external data memory 130.External data memory 130 can communicate with situation module 125, to produce intelligent situational variable.Similarly, external data memory 130 can directly communicate with processor 115.External data memory 130 can be made up of general information (such as navigational route database), and this navigational route database such as can preserve the specific law of street and legal order, or user specific information (such as preferred vehicle internal temperature).Extraly or selectively, external data memory 130 can follow the trail of vehicle at ad-hoc location or feature activation in particular driving conditions.Such as, external data memory can be kept at cruising on certain high-speed highway and control activation number of times.This so can affect when vehicle travels on a highway cruise control feature scores.Further, external data memory 130 can use such as teleprocessing or other proper technology any to upgrade.The teleprocessing system being positioned at vehicle can be configured to the renewal that reception comes from server or other appropriate resources (such as vehicle dealer).Similarly, external data memory 130 can use the input be provided on user interface device 105 by vehicle user manually to upgrade.In addition, controller 110 can be configured to make user interface system 100 can by wireless network and mobile device communication.Such network can comprise wireless telephone, bluetooth, personal digital assistant, 3G and 4G broadband device etc.
In exemplary demonstration, user interface device 105 can allow user's specified in more detail about some preference of position.User can set the preference for providing the position serving or provide hidden eating surroundings of parking.These preferences can be stored in external data memory 130 (such as, as point of interest), and can be undertaken utilizing the output with relevant situations variable by situation module 120,125.Such as, if user sets his/her preference comprise the pattern of parking, higher weights (such as, producing higher feature scores) can be coupled with, no matter and whether whether user previously stopped at that facility in the feature scores of the pattern of parking at specific facilities place.Therefore, if customized in some way the preference of user, then previously can stop at ad-hoc location and come to produce high feature scores.
Processor 115 can be configured to detect the input transmitted by situation module 120, such as situational variable.Processor 115 can store each selectable option relevant with the operable special characteristic of user interface device 105.Each selectable option receives input from a series of situational variables that pedestal sensor 135 and situation module 120 produce.Processor 115 is polymerized received variable, and to produce the feature scores be associated with selectable option, this feature scores shows that special characteristic is by by the possibility of user interactions.Therefore, each selectable option is associated with feature scores.But, depend on driving situation and situation, may be different from the feature scores that selectable option is associated.Many embodiments can be used to be polymerized situational variable, exemplarily, such as, but not limited to, ask the nonlinear algorithm of product, summation, averaging or such as fuzzy logic.In one embodiment, the feature scores of the decimal of 0 to 1 can be associated with selectable option by processor 115, and wherein 0 can represent this feature and can not be selected in this moment, 1 representative of consumer has been provided with the most high likelihood wanting to use this feature.Therefore, feature in use (such as, current Vehicular system just in use or subsystem) in fractional system, score will be very low, because do not carry out mutual possibility with this feature in the future.But this selection can be changed by driver or manufacturer, 1 representative of consumer is carried out energetically alternately with this feature.Further, the fraction range of decimal is exemplary, if expected, can use different digital scopes.
After processor 115 produces feature scores, feature scores can be risen to user interface device 105 by processor 115.Based on the preference of driver or manufacturer, processor 115 can select the selectable option with the highest feature scores, to show on user interface device 105.The highest feature scores can represent institute's preference selectable option or by the feature selected.That is, the selectable option be associated with the highest feature scores can be the feature of institute's preference.In alternative embodiments, processor 115 can sort to it based on the feature scores of selectable option, and selects multiple features with the highest feature scores to show on user interface device 105.The selectable option be associated with low mark can be hidden, or is removed from user interface device 105.Because feature scores is associated with each change, the icon therefore shown via user interface device 105 changes sustainably.
In particular example, such as the activation parking assistant of parallel parking parking feature or use rear view camera can be used for vehicle for the general parking feature of vertically stopping.Ad-hoc location, specific geographical area (such as, city, urban district, near busy street etc.), special time etc. in one day likely uses parking feature.In addition, more parking feature may be used when vehicle is at low speed driving.In this exemplary demonstration, pedestal sensor (such as, pedestal sensor 135) such as can export the current location of vehicle by GPS.The speed of another pedestal sensor (such as, pedestal sensor 140) exportable vehicle.These outputs can be all simple situational variables.Simple situational variable (speed and position) can be received by situation module 120.Situation module 120 can use current location to collect extra intelligent situational variable.In one example, current location can be used to determine possible final position (such as, expecting destination).These final positions can use navigational system to input by user.These final positions can also be the positions of study or prediction.The final position of prediction and current location can be compared.Can select and assess the final position closest to current location.Situation module 120,125 can use final position to check the type of the feature previously selected in this final position by user.That is, user had previously used parking feature in final position.Extraly, situation module 120,125 can receive these situational variables and other variable.In one example, situation module 120,125 can receive the public parking data of the parking option shown near current location.These variablees can be sent to processor 115, and processor 115 can be the selectable option assigned characteristics mark relevant to specific driving-situation.In one example, if vehicle uses the position of parking feature usually close to this vehicle, but this vehicle is run at high speed, then can give current driving-situation by low mark (such as, 0.3).In another example, if vehicle is driven at low speed, then can give current driving-situation by balloon score (such as, 0.8).Processor 115 can select the selectable option with highest score to be presented on user interface device 105.When the feature scores be associated with selectable option exceedes the feature scores of current rendering preferences, the alternative present option of selectable option.
For above example, system 100 can use current vehicle location, final position and car speed to determine the feature scores of parking feature.Final position can be the expectation destination of user.Final position can be determined by situation module 120,125.Final position can also be determined by another assembly (such as gps system) in response to user's input.As discussed, final position can also be destination or the position of prediction.The destination of prediction can be determined based on dynamic learning and prediction module.This module can learn and record various stop and start custom, and can identify frequency location inherently in the absence of user input.Prediction module can consider some questions, in the time in such as one day, the week when etc.Therefore, when vehicle starts the route running along identifying, prediction module can be one of minority or possible destination based on the final position of the past historical forecast of user and/or vehicle.In addition, the position of prediction can be the position that user had previously used parking feature.These history parking spots can be identified by the user ID in data-carrier store 130 as described in this.
Final position can also be used to determine potential outside parking spot.The difference in outside parking spot and final position can be: outside parking spot can be vehicle parking building near final position or parking lot.Outside parking spot can be obtained from data-carrier store 130 or other position (such as via radio communication or dedicated channel from mobile device).Such as, neighbouring vehicle parking building can be supplied to processor 115 and/or situation module 120,125 by the map application in mobile device.Also can use this locality municipal administration map that various parking spot is provided.Data-carrier store 130 also can comprise the map data base that available parking places is put.Therefore, can by within data-carrier store 130 or interface system 100 or outside another assembly outside parking spot is provided.In some cases, outside parking spot can from common source and private data storehouse.
The General System that Figure 1B shows the embodiment of user interface system 100 is mutual.At first, controller receives the input coming from pedestal sensor 135 and 140, and its collection comes from sensor available on vehicle or the information of sensing system, and exports simple situational variable.Such as, pedestal sensor can represent current outside temperature, vehicle speed sensor, or vehicle GPS position.Situation module 120 and 125 can receive simple situational variable, other intelligent situational variable and/or come from the position data of external data memory 130, to produce intelligent situational variable.Position data from external data memory 130 can comprise the parking spot received from common source and private data storehouse.Processor 115 both can receive intelligent situational variable also can receive simple situational variable, so that their value is attributed to multiple selectable option.Each feature scores all produced with the value from received situational variable of selectable option is associated.The equal continuous reception of each selectable option comes from the input of pedestal sensor and situation module.But, depend on driving-situation, different from the feature scores that selectable option is associated.Such as, if situational variable express vehicle just on a highway velocity of approach restriction travel, then the selectable option of the controlling feature that cruises will produce balloon score, and heats seat or garage door access opening feature will produce low feature scores.
Processor 115 can sort to them according to the feature scores of selectable option.Processor 115 can select the selectable option of highest score.According to the configuration mode of user interface system 100, processor 115 can promote the selectable option with the highest feature scores or promote multiple selectable option to user interface device 105.Meanwhile, processor 115 can eliminate the feature no longer with the mutual possibility of high user from user interface device 105.Pedestal sensor 135,140 and situation module 120,125 are active always, so that produce continuous print feature scores for each selectable option.Processor 115 uses these marks to provide up-to-date driving-situation to user interface device 105, and the selectable option with the highest feature scores is presented on user interface device 105 forever.
Fig. 2 shows the process flow diagram of the exemplary process 200 can implemented by user interface system 100.Automatic activation (frame 205) when the operation of user interface system 100 can be activated earlier than vehicle ignition.Now, vehicle can carry out built-in system inspection, and in built-in system checks, be ready for operation in order to ensure vehicle, the mode of operation of one or more Vehicular system and/or subsystem will be determined.While built-in system inspection is verified, system 100 can determine the classification of selectable option available in vehicle extraly at frame 210.The available feature (and corresponding selectable option) of user interface system 100 can be divided into set out group and arrival group by system 100 extraly.Class of setting out can comprise the normally used feature when leaving a position, and such as garage door is opened or climate controlling.Arrive class can comprise when on the route of destination or arrive destination time normally used feature, such as, cruise control or stop assist.Classification process can be implemented by controller 110.For feature differentiation can by vehicular manufacturer or dealer preset, or by vehicle owner based on its preference to group and arrival group carry out personal settings.Characteristic area is divided into two or more groups can by the quantity of the alternative feature of restriction, and contribute to reducing the processing time in follow-up phase.
At frame 215, system 100 can start to monitor the situational variable produced by pedestal sensor 135 and situation module 120.As mentioned before, situational variable can be the direct simple situational variable that obtains of sensor available in vehicle, or aggregate into from other situational variable (no matter being simple or intelligent), the intelligent situational variable that obtains ready-made in non-vehicle value.At frame 220, system 100 can check whether the extra external information needing to come from external data memory 130 further.At situational variable, this may require that information (such as, street speed limits, position data, or vehicle driver is for the preference of temperature in the cabin) time stored occurs.If need extra external information, this information can be transferred to situation module 120 to produce intelligent situational variable.If extra external information does not need, or has been provided, and no longer need more information, then processing 200 can continue at frame 225.
At frame 225, situational variable can be transferred to processor 115 to produce feature scores.Received input (such as situational variable) can be polymerized by processor 115, and value is associated with each selectable option, to produce feature scores.Can by asking product, be averaging, maximizing, minimize etc. or any nonlinear algorithm of its any combination or change or such as fuzzy logic, produce feature scores via polymerization situational variable.Feature scores can be directly proportional with the correlativity of being polymerized of the situational variable being transferred to processor 115.Such as, when situational variable shows, vehicle is just at running on expressway, and there is the relative velocity of velocity of approach restriction, but notice that vehicle just changes speed (such as, when traffic congestion) up and down in speed restriction, now, compared to when vehicle with constant, close to the situation of the speeds of speed restriction, the feature scores controlling selectable option of cruising within a period of time will have less value.In addition, such as, the identical variable of the auxiliary selectable option of parking is caused will to have low-down feature scores, this is because the possibility of enabling parking feature when running at high speed is very low.
At frame 230, processor 115 can arrange priority ranking based on the feature scores be associated of selectable option to selectable option.Usually, the selectable option with the highest feature scores can have the highest priority ranking, and and then all the other available selectable option correspondingly sort.According to the preference of user, feature or multiple feature (such as having three features of the highest feature scores) with the highest feature scores can be thus lifted to user interface device 105 at frame 235, to carry out showing and operating.Similarly, the feature of having shown on user interface device 105, if their correlativitys in specific driving-situation reduce, then can be eliminated (or degradation) simultaneously.Extraly or selectively, processor 115 or controller 110 can sort to selectable option according to the feature scores be associated with each selectable option.Then controller 110 can determine the order of the selectable option with the feature scores exceeding predetermined threshold.Such as, controller 110 can only select the selectable option with more than 0.7 or 0.7 feature scores.Then that have the highest feature scores, available selectable option can be discharged to first in order by controller 110, and another selectable option with slightly low feature scores ranked second position in order, and the rest may be inferred.
As shown, frame 215 performs continuous print circulation to frame 225 in vehicle operating.Pedestal sensor 135 and situation module 120 are active always, and continuously information are input to processor, and this processor produces new feature scores continuously.Correspondingly, processor 115 upgrades priority ranking rank at frame 230, and maximally related feature will be presented on user interface device 105 at frame 235 always.
In at least one embodiment of the present invention, user interface system 100 can based on the input of received sensor and position data determination selectable option.Position data can comprise previous stop position and the location-based use to feature.Selectable option can be activated based on the vehicle location of position that is known relative to other or that define before usually.Such as, invention shows the system and method for the selectable option producing stop auxiliary and pattern of parking, stop auxiliary and park pattern two all being activated close to ad-hoc location (such as vehicle parking building, office block or restaurant) time.Stopping auxiliary is activate Vehicular system stops its vehicle available vehicle characteristics with automatic driver assistance.That is, vehicle can be driven voluntarily and enter docks, no matter is parallel or vertical stop, and user is hardly with inputting or need not inputting.Pattern of parking or option are the similar characteristics be activated at the ad-hoc location comprising the service of parking close to such as hotel, restaurant, bar etc.Activation for the Vehicular system of the mode option of parking can lock the assembly (such as user interface device, glove box/glove compartment, boot/baggage room) of vehicle, and the driver that makes to park cannot access the personal information that may store in vehicle.At controller 110, option of parking can learn that vehicle is just triggered close to when having the facility of parking and serving.This can be known by the data relevant to facility be stored in external data memory 335.
Location-based option can with show that the primary frequency of the number of times that selectable option has been activated at ad-hoc location is associated.Primary frequency can be determined by controller 110.Value (the F of primary frequency aF(i, j)) two-stage embodiment can be used obtain.At first, when access or number of observation have in limited time, the true value of normal frequency uses first order embodiment to produce.That is, at the predetermined minimum access number (N to a position min) be satisfied before, the special characteristic of ad-hoc location feature activation sum divided by that position access sum, to provide the true value of the number of times that feature has been activated a position.In order to be included in the more multisample of the feature activation that ad-hoc location is observed to provide more accurate number percent, minimum threshold can be used.Minimum access number can comprise the value that external data memory 335 defines, and can by vehicular manufacturer, dealer or may set by vehicle driver.
Real using forestland or feature ad-hoc location used how frequently number percent can provide feature at ad-hoc location by the true number of times used.N (i, j) arepresent the number of times at the feature activation of ad-hoc location, such as, use the number of times of auxiliary feature of such as stopping in the position in such as supermarket.Such as, i is position, and j can be feature.N (i) allrepresent the total degree of access location i.True value can use following formulae discovery out: F aF(i, i)=N (i, j) a/ N (i)) all.
If the sum of access ad-hoc location has met or exceeded predetermined minimum number, then process and then carried out second level embodiment.Second level embodiment relates to recurrence formula, and it can be used to primary frequency (F assessed by line aF(i, j)), without the need to such as in the particular data point of the feature activation number of ad-hoc location.Second level embodiment comprises: learning rate, and it can reflect the memory depth (memory depth) of external data memory 335; Enhanced signal, wherein, the number of times that feature is activated a position is more, and enhanced signal just can progressively become stronger.On line, the primary frequency of pattern can use following formulae discovery out: F aF(i, j)=(1-α) * F aF(i, j-1)+(α) * Sig reinforce(i, j), wherein, α=learning rate (such as, in the scope of 0 to 1, wherein, 1 represents significant learning rate), F aF(i, j)=feature j in the primary frequency of position i, as above explained, Sig reinforce(i, j)=represent the enhanced signal (such as, in the scope of 0 to 1, wherein 1 representing significant enhanced signal) be activated at position i feature j.
Be transformed into recurrence second formula to contribute to solving two problems.First, formula reduces amount of ram used, because the second formula does not require N (i) allor N (i, j) ago to estimate primary frequency.This not only can releasing memory space, but also provides the processing time faster.Similarly, on line, pattern can produce and export more reliably, because be satisfied at the minimum threshold of the activation of ad-hoc location, shows that driver uses the preference of special characteristic through ad-hoc location of being everlasting.Further, up-to-date driving when the second formula is reflected in the Preference Conversion of driver uses.The value of learning rate (α) can be modified to reflect up-to-date mutual at diverse location of driver and special characteristic.
See Fig. 6, when vehicle close to or when leaving ad-hoc location, location-based option (such as stop assist, pattern of parking, garage door unlatching etc.) can be activated.In general, each ad-hoc location all can have the record be associated with this position in external data memory 335.External data memory 335 can comprise latitude and the longitude station of ad-hoc location (restaurant etc. near such as family, office, office).Each record be associated with position all may further include a field, the primary frequency that its representative is associated with the special characteristic in the position be suitable for.Extraly or selectively, each record all can be stored in arrival group and set out in one or two groups of group, therefore creates two records be associated with position.By doing like this, the feature that the characteristic sum be associated with the startup of driving cycle is associated with the end of driving cycle can make a distinction, thus considers that each feature provides for the serviceability of driver and more accurately and timely predict.
Each element in field all represent special characteristic (control of such as cruising, garage door are opened, room alarm clock activates, stop assist, pattern of parking, temperature etc. in cabin) primary frequency.Such as, in the arrival group record of family, inter alia, field can comprise control of cruising, the primary frequency of temperature in stop auxiliary and cabin.If feature (or selectable option) never activates at ad-hoc location, primary frequency may be low, or may can not be marked in field.Such as, the position that the selectable option controlled for cruising is in can be labeled as primary frequency 0.00.On the contrary, the selectable option that the garage door in that field controls can activate number of times according to selectable option or selectable option learning rate is labeled as higher primary frequency.The primary frequency of each feature all can constantly adjust or upgrade, to reflect the preference of driver or passenger.
Fig. 3 shows the embodiment of the system 300 producing feature scores into selectable option.This system can comprise user interface device 305, has the controller 310 of processor 315, situation module 320,325 and 330, and transmits multiple sensors 340,345 of input to controller 310.The variable that pedestal sensor 340,345 and situation module 320,325 and 330 produce all is transferred to processor 315 to produce the feature scores be associated with selectable option.Feature scores can be used to determine relative to the maximally related selectable option of driving-situation.System 300 may further include the position data be stored in external data memory 335, position data can comprise, the parking of such as previous vehicle parking position, each previous stop position is assisted and pattern feature of parking activates number, and user interest point (POI).Position data can after a certain time period, upgrade in external data memory.Such as, external data memory 335 only can preserve the previous vehicle stop position of 30,60 or 90 days in the past.This can help the driving preference reflecting that driver is up-to-date, also can reduce the amount of ram that position data uses.
In one embodiment, system 300 can produce auxiliary selectable option of stopping.As explained above, position transducer 340 can be communicated with controller by interface with speed pickup 345.The speed pickup 345 of vehicle can comprise wheel or the axletree sensor of velograph, variator/gear sensor or monitoring wheel or axletree rotation.Vehicle location sensor 340 can comprise the GPS (GPS) that can identify vehicle location, and use the radio frequency identification (RFID) of radio frequency electromagnetic field, or the GPS of the mobile phone transmitted via mobile phone or personal digital assistant (PDA) by such as bluetooth or PDA.
Each of situation module 320,325,330 all can perform specific function in controller 310.Although each of their respective functions is described all in the present invention, these describe just exemplary, and independent module can perform all or some functions.3rd situation module 330 can be configured to the position receiving vehicle from vehicle location sensor 340, receives the previous stop position of vehicle from external data memory 335.Input based on these sensors, the 3rd module 330 can determine the stop position (such as, facility) being positioned at current vehicle position near zone.
First situation module 320 can be configured to obtain this stop position from the 3rd situation module 330.It can also determine special characteristic in this position by with how many times.Such as, the first module 320 can be determined to stop at this facility place to assist to be employed how many times.This information can obtain in the position record in external data memory 335, and can be as described above, is used to the primary frequency (use real using forestland or use using forestland formula on line) determining ad-hoc location.Such as, the parking of each position assists use can as N (i, j) abe transfused to, the access times to immediate previous stop position can as the true N (i) using formula allbe transfused to.On the other hand, likely needing to be imported into the first situation module 320 can be previous stop position for using forestland on line, and will be that available selectable option produces primary frequency.First situation module 320 can be configured to the primary frequency exporting the input being used as the feature scores producing selectable option to processor 315; Maybe can be configured to externally data-carrier store 335 and export primary frequency, to upgrade the record of ad-hoc location; Or be configured to both have concurrently.
Second situation module 325 can be configured to obtain the vehicle location transmitted from vehicle location sensor 340 and the immediate vehicle parking position of transmitting from the 3rd situation module 330, to determine the distance of immediate position.In an illustrative methods, vehicle speed sensor 345 can be directly communicated to processor 315.The output that first situation module 320 and the second situation module 325 produce and the car speed that vehicle speed sensor 345 transmits can be transferred to processor 315 subsequently, value to be grouped into auxiliary selectable option of stopping.Processor 315 can produce based on received variable the feature scores be associated with auxiliary selectable option of stopping subsequently, and parking is assisted selectable option to be shown on user interface device 305 for driver alternately.
Extraly or selectively, system 300 can be that option of parking/pattern produces selectable option.System 300 to a great extent be similar for auxiliary selectable option of stopping, except adding point of interest of parking (POIs).Point of interest of parking provides the information about whether providing the service of parking at ad-hoc location or facility.Point of interest of parking obtains into the vehicular map database in external data memory 335 or with the form of network service (such as, based on the communication of cloud) by preserving as position data.Point of interest of parking can directly obtain from external data memory 335 (such as, external data memory 335 programming has the ad-hoc location providing the service of parking), or by being pushed off out for the deciphering of the location name in external data memory 335.Such as, the trigger word (triggerwords) as conference centre, hotel or restaurant, may show typically to provide in this position the service of parking.If the point of interest of parking of a position is not stored on external data memory 335, or this location name does not provide the reference for understanding, so can be updated on external data memory 335, so that this position is associated with providing the service of parking in the activation of pattern of the parking selectable option of ad-hoc location.Point of interest of parking can affect the feature scores of pattern selectable option of parking, because if this position does not provide the service of parking, then special characteristic may lose its correlativity (and therefore producing low feature scores).
Fig. 4 represents the process 400 producing the feature scores be associated with selectable option.Only in order to exemplary purpose, foregoing explanation will relate to parking Accessibility choice.First, current vehicle location can be determined at frame 405.This can be realized by vehicle location sensor 340.At frame 410, the information that vehicle location sensor 340 obtains can be transmitted directly to the 3rd situation module 330.Current location and the previous stop position in data-carrier store 335 compare, to determine immediate previous stop position by the 3rd situation module 330.Such as, the current vehicle position that vehicle location sensor 340 exports and the previous stop position that external data memory 335 transmits can be polymerized to produce immediate previous stop position (such as, relevant to the previous stop position be stored in external data memory 335 current vehicle position) in the 3rd situation module 330.
At frame 415, immediate previous stop position can be transferred to the first situation module 320 by the 3rd situation module 330.Then first situation module can retrieve from data-carrier store 335 data be associated with immediate previous stop position.This information can comprise the auxiliary special characteristic that shows such as to stop in this position by the use designator of number of times used.As described above, this so that can by the first situation module 320 in order to calculate primary frequency.Such as, the first situation module 320 also can receive from external data memory 335 number of times that selectable option (or feature) activates at ad-hoc location.External data memory 335 supermarket of auxiliary selectable option near driver family that can show to stop has been activated seven times.If the access sum to immediate previous stop position does not also reach predefined minimum access number (such as, N (i) all≤ N min), so, real using forestland (at frame 425) will produce the situational variable showing to use auxiliary true frequency of utilization of stopping at ad-hoc location.On the other hand, (such as N (i) is satisfied at minimum access number all> N min) after, on line, pattern (frame 430) estimates the intelligent situational variable of feature in the primary frequency of ad-hoc location by producing.Depend on signal enhancement (Sig reinforce(i, j)) and the value that provides of learning rate (α), the situational variable that the first situation module 320 produces can be strong (such as close to 1) or weak.
At frame 435, the second situational variable 325 can receive input from vehicle location sensor 340 and receive immediate stop position from the 3rd situation module 330, to calculate current vehicle location and the distance previously between stop position.Vehicle and immediate previous stop position nearer, the value of intelligent situational variable is larger.Further, at frame 440, vehicle speed sensor 345 determines the present speed of vehicle.The simple situational variable that vehicle speed sensor 345 exports and car speed are inversely proportional to.Such as, if vehicle is with the speeds of 40mph (mph.), the possibility (and therefore using auxiliary possibility of stopping) that vehicle will be stopped is just very low.
At frame 445, the situational variable of the first situation module 320, second situation module 325 and vehicle speed sensor 345 exports and can be transferred to processor 315.At frame 450, received value is attributed to selectable option by processor 315.As mentioned before, if selectable option is divided into arrival group and group of setting out, then situational variable only can need the selectable option being imported into arrival group.This can be determined when vehicle has been connected by key and driven time and the distance of scheduled volume.Variable can be polymerized to produce feature scores (frame 455).The heuristics that polymerizing value adopts can realize in every way, includes but not limited to, asks product, averages, maximizing or minimum value to it.At frame 455, processor 315 can get the product of the variable that the first situation module 320, second situation module 325 and vehicle speed sensor 345 export, and produces the feature scores of selectable option.
At frame 460, if the feature scores selectable option available relative to other is the highest, then processor 315 can select auxiliary selectable option of stopping.At frame 465, processor 315 can be shown by lifting feature to user interface device 305.Meanwhile, processor can eliminate existed on user interface device 305, may incoherent feature in current situation.
Fig. 5 shows and uses exemplary process 500 park pattern selectable option to produce and selectable option risen to the process flow diagram of user interface device 305.Current vehicle location can be determined by vehicle location sensor 340 at frame 505.At frame 510, external data memory 335 can show previous stop position and to park point of interest, with based on current vehicle position determination station-keeping data.Position data can be transferred to the 3rd situation module 330 by external data memory 335.At frame 515, the vehicle location that the position data received by external data memory 335 and vehicle location sensor 340 export can merge by the 3rd situation module 330, to determine to provide the immediate current stop position of the service of parking.As previously mentioned, point of interest of parking can directly obtain from external data memory 335, or point of interest can carry out inferring (such as restaurant, cinema, conference hall) by referring to location name.
At frame 520, then the position of immediate previous stop can be transferred to the first situation module 320 to determine the primary frequency of pattern of parking at ad-hoc location.Such as, if immediate previous stop position is the restaurant on driver office side, that will be inputted as (i) in above-described primary frequency formula and pattern of parking is inputted by as (j).If be switched to the minimum access number on line before pattern also do not exceed access sum (such as, N (i) all≤ N min), then real frequency of utilization will calculate at frame 530.On the other hand, if met predetermined minimum value for the access number of position (i), then on line, frequency of utilization can use recurrence formula to calculate at frame 535.The formula no matter used, the intelligent situational variable that the normal characteristics for the pattern of parking uses will export from the first situation module 320.If parked, the normal use of the selectable option of pattern is high, then the possibility that is activated of this feature is just high, and therefore, the value be associated with this intelligent situational variable produced is just high.
At frame 545, the second situation module 325 can receive the position of vehicle from vehicle location sensor 340, and receives immediate previous stop position from the 3rd situation module 330, to determine the distance of immediate previous stop position.If little to the distance of the immediate previous stop position providing the service of parking, then pattern feature of parking is by the possibility just height (again, the value of intelligent situational variable output is just high) selected.Extraly, determined by vehicle speed sensor 345 at frame 545 car speed.If the speed of vehicle is low, then the vehicle possibility of stopping in very near future is just high.
At frame 550, car speed, primary frequency and the distance to immediate position are all imported into processor 315.At frame 555, value can be attributed to available selectable option by processor 315.Processor 315 can, subsequently by being aggregated in the value received by frame 555, be each selectable option generation feature scores.Processor 315 can determine the priority of the selectable option exceeding minimum threshold extraly.The selectable option with the highest feature scores can be assigned with the highest priority ranking, and the selectable option with the second high feature scores can be assigned with the second high-precedence, and the rest may be inferred.If the feature scores for the selectable option of the pattern of parking has been assigned with the highest feature scores, and being therefore assigned with the highest feature priority ranking, processor 315 can be selected at frame 565 pattern of parking and at frame 570, it be risen to displaying on user interface device 305.Selectively, processor 315 can select multiple selectable option with first, second isopreference order to rise to user interface device 305.Processor 315 can correspondingly be demoted to the selectable option relative to driving-situation with lower feature scores, and the selectable option with the highest feature scores is illustrated on user interface device 305 forever.
See Fig. 7 A and Fig. 7 B, with based on various stop position selectable option (such as stop auxiliary or pattern of parking) if the feature scores be associated can based at least three/, rule (If/Thenrules).If the parking that the first situation module 320 exports is assisted or the primary frequency of pattern of parking is high, then the possibility (value of therefore situational variable output) of the selectable option be associated also may be high.Fig. 7 shows the relative characteristic mark based on the distance according to vehicle and known location.Go out as shown in Figure 7A, if to the distance (being produced by the second situation module 325) little (such as, being less than 500 meters) of known location, then the possibility that will stop in this position of vehicle is just high.Fig. 7 B shows the relative characteristic mark based on car speed.Go out as shown in fig.7b, if the speed of vehicle (determined by vehicle speed sensor 345) is low, then the possibility that will stop in this position of this vehicle is just high.Processor 315 is polymerized these values to determine feature scores.Therefore, working in coordination with, to produce high feature scores between three values may be required.
In one example, if to the distance of nearest previous stop position is little and primary frequency is high, but vehicle is with the speeds of 45mph, and this vehicle is unlikely stopped in this position.Therefore, the feature scores for such as stop auxiliary or pattern of parking may be low, and therefore, user interface may can not show this option.Similarly, if the previous stop position of vehicle distances is very near, and vehicle is to travel at a slow speed, but this specific feature was never activated in this position, a relatively low primary frequency may be realized, further, carrying out mutual possibility (such as, feature scores) with that feature also can be low.
Fig. 8 is the block diagram for generation of the feature scores for parking feature.This block diagram is exemplary, and is intended to illustrate how to use final position 810, historical position 815 and outside parking spot 820 to assess parking feature in interface system 100.The position 810 of input can be inputted by navigational system by user.
History parking spot 815 can be the position usually selecting parking feature place.Such as, driver can usually use the parallel parking of parking supplemental characteristic when his or she access bank.When feature is used at given position, in the final position data in data-carrier store 130, the use designator be associated with this given position can positively be increased.Extraly, if do not use feature at given position, then designator is used negatively to be increased.Use designator can be associated with the specific final position of such as address.But, use designator can also be associated with common geographic position (such as geographic coordinate).That is, parking spot 815 can be associated with address, final position (address of such as bank), and/or parking spot can be the geographic position (geographic coordinate in the parking lot before such as bank) in parking place.The purposes of low-pass filter can be used increase/reduce to use designator.Such as, the list of position that the vector of frequency is frequently accessed with driver is associated.When observing driver and having accessed certain position, will use the value be associated with this position in low-pass filter increase frequency vector, wherein, its enhanced signal value is assigned to 1; And other value in this vector will reduce, wherein, its enhanced signal is assigned to 0.In this example, be 1 or be 0 due to enhanced signal, the content in frequency vector will between zero and one, to show the preference of driver to stroke destination.Further, designator is used can be stored in except data-carrier store 130 Anywhere.Therefore, final position can be the position of predicting based on the historical behavior of user/vehicle.
As explained above, outside parking spot 820 can be the parking spot (such as, vehicle parking building or parking lot) near ad-hoc location (such as stadium, restaurant etc.).This information can provide from data-carrier store 130, or provides from the external source of such as map or public database.Extraly, the position 810 of multiple input, historical position 815 and external position 820 can be received by situation module 120,125 and identify.Before position is remembered, driver can be asked to approve, and this position is as the position remembered.That is, be in placely set to as preferably or before the position remembered, driver can be required to agree to, and this position is position that is preferred or that remember.Similarly, driver this position removable and being associated and data with this position.Therefore, the removable no longer interested position of driver.
Along with vehicle is along route running, can periodically or as required by one of final position of the current location (that is, situational variable) obtained by situation module 120,125 (passing through GPS in one example) and prediction or all compare.Distance between the final position of prediction and current location can be determined by situation module 120.Once distance is calculated, the nearest position in the final position that just can select to predict (position 210 such as, can selecting to input, history parking spot 815 and outside parking spot 820) is as final position.In some configurations, the position of input can be defaulted as final position, and situation module 120,125 can not calculate the distance between current location and final position.But in some configurations, although can be input in navigational system by final position especially by user, parking lot or vehicle parking building may be more suitably final positions, therefore still can calculate distance to determine final position.Such as, although user have input the address in restaurant, when vehicle is close to restaurant, vehicle may through the parking lot in this restaurant.In this case, final position can be the address in parking lot instead of restaurant.
As explained above, when the final position of multiple prediction may be occurred, can be polymerized these positions and compare, to determine which position is closest to current location.Once have selected final position, situation module 120,125 just can receive simple situational variable, such as car speed from pedestal sensor 135,140.Processor 115 can based on car speed, come for current driving-situation distributes mark relative to the position of selected location and the use increment that is associated with selected location.Such as, if vehicle is just in position that is at low speed and that usually stop close to vehicle, then parking feature can receive high feature scores, thus parking feature is arranged to the selectable option on interface device 150.On the other hand, if vehicle is just at low speed, but and keep off final position or history parking spot, then feature scores can be low.
Fig. 9 A to Fig. 9 C is the example data chart of the situational variable illustrated for generation of the feature scores for interface system.Show exemplary position data drawing list in figure 9 a.Position data chart can show the route (being indicated by the solid line in accompanying drawing) of latitude coordinate and longitude coordinate, vehicle.Further, multiple final position can be represented by the circle in accompanying drawing.In figures 9 b and 9, the relation of car speed and time can be shown graphically.Based on the vehicle location relative to known final position, and given car speed, controller 110 can be driving-situation assigned characteristics mark.Exemplary feature scores is illustrated in Fig. 9 C.As shown in the drawing, at about 50 seconds places, feature scores was approximately 0.9.At about 450 seconds places, feature scores was approximately 0.85.These high feature scores and vehicle location closely known final position and the very low situation of the speed of a motor vehicle is relevant.On the other hand, between 50 seconds and 450 seconds, feature scores can be low, this is because vehicle not near or close to any final position, and regardless of car speed how.In addition, between about 550 seconds and 675 seconds, feature scores rises to 0.35.In these cases, car speed may reduce, but current vehicle location may away from any known final position.
Figure 10 is the process flow diagram for implementing exemplary interface system process 1000.Process 1000 can start from frame 1005, and wherein, the operation of user interface system 100 can be not later than vehicle ignition and starts and automatically activate.Now, vehicle may carry out built-in system inspection, wherein, will determine the mode of operation of one or more Vehicular system and/or subsystem, to guarantee that the preparation of running carried out by vehicle.When built-in system inspection is just verified, system 100 can determine the current location of vehicle extraly.Once system is activated, process just can proceed to frame 1010.
At frame 1010, situation module 120,125 can from one of situation module 120,125 receiving position information (that is, simple situational variable).As explained above, positional information can comprise the final position of one or more prediction.These final positions can be included based on the information (being such as input to the address of navigational system) of user's input, or predicted based on the historical behavior of user/vehicle.When final position is then predicted, the positional information received can comprise the list in the final position of prediction.Such as, final position can comprise some history parking spots, and wherein, described history parking spot can be included in positional information based on the current route that travelling of vehicle by situation module 120,125.Once receive positional information, process 1000 just can proceed to frame 1015.
At frame 1015, situation module 120,125 can determine final position (that is, intelligent situational variable) from the final position of prediction.Depend on configuration, processor 115 can based on the layering of definition (such as, relative to the position of prediction, always selecting the position of user's input), and by being polymerized the final position of prediction and selecting and the immediate potential site of current vehicle position, determine final position.The configuration of the latter can need processor 115 to receive the current location of vehicle from pedestal sensor 135,140.Situation module 120,125 in processor 115 can determine the distance between the final position of current location and each prediction.Based on these distances, final position can will be elected in current location as closest to the position in scope.As explained above, if user have input final position at interface device 105 by navigational system, then this analysis can be not necessarily.Once determine final position, process 1000 just proceeds to frame 1020.
At frame 1020, situation module 120,125 can receive the final position data (that is, intelligent situational variable) comprising the use designator be associated with final position.This data can be retrieved from data-carrier store 130 or another external source.Use designator can show the frequency that feature uses in final position.Process 1000 proceeds to frame 1025.
At frame 1025, situation module 120,125 can receive Current vehicle speed (that is, simple situational variable) from pedestal sensor 135,140.Situation module 120,125 can inbound pacing and and then outputted to processor 115.Process 1000 can proceed to frame 1030.
At frame 1030, comprise final position, the situational variable of final position data and car speed can be transferred to processor 115 to produce feature scores.Processor 115 can combine the situational variable received, and value is associated with feature or multiple feature.Such as, by asking product, averaging, asking maximum number, asking the nonlinear algorithm of minimum number or other such as fuzzy logic or neural network to be polymerized situational variable, thus feature scores can be produced.Feature scores can be directly proportional with the degree of correlation of being polymerized of the situational variable being transferred to processor 115.Such as, relative to vehicle not near final position and the situation of running at high speed, when vehicle near its final position and this vehicle usually this final position use parking supplemental characteristic, the feature scores of the selectable option be associated with parking supplemental characteristic will have higher value.Process 1000 proceeds to frame 1035.
At frame 1035, processor 115 can arrange priority ranking based on the feature scores be associated of selectable option to selectable option.Usually, the selectable option with the highest feature scores can have the highest priority ranking, and and then all the other available selectable option correspondingly sort.According to user preference, the feature or multiple feature (such as, having three features of the highest feature scores) with the highest feature scores can be risen to user interface device 105 to be shown and to perform at frame 1040.Similarly, if the correlativity of feature in specific driving-situation shown on user interface device 105 reduces, then described in, on user interface device 105, the feature of display can be eliminated (or degradation) simultaneously.Extraly or selectively, processor 115 or controller 110 can sort to selectable option according to the feature scores be associated with each selectable option.Then controller 110 can determine the order of the selectable option with the feature scores exceeding predetermined threshold.Such as, controller 110 can only select the selectable option with the feature scores of more than 0.7 or 0.7.Then that have the highest feature scores, available selectable option can be discharged to first in order by controller 110, and another selectable option with slightly low feature scores ranked second position in order, and the rest may be inferred.
In one example, when determine user will the possibility height of parked vehicles time, can promote on interface device 105 and show parking feature.This can be based in part on the degree of approach in final position, previously use the frequency of feature and the present speed of vehicle in final position.As explained above, parking feature can comprise the parking supplemental characteristic that can be used for parallel parked vehicles.Parking feature also can comprise general parking help/feature, and wherein, the visual field of rear view camera is displayed on another screen that interface device 105 or user can see, to help user's parked vehicles.Each in parking supplemental characteristic and general parking feature can independent of evaluated and score each other.Therefore, the selectable option be associated with one of parking feature can be shown on interface device 105, and another is not displayed on interface device 105.But under some driving-situations, two selectable option all can be shown.
As shown in the figure, frame 1010 to frame 1030 can perform persistent loop during vehicle operation.Pedestal sensor 135,140 and situation module 120,125 are all in active state all the time, constantly by Information input processing device 115, processor 115 produce constantly with available selectable option (such as, the selectable option be associated with parking feature) the new feature scores that is associated, thus maximally related feature is available and is demonstrated via interface device 105.
Therefore, there is described herein a kind of interface system, this feature for determining that driver will select the possibility of certain vehicle characteristics, and is correspondingly presented on interface by described interface system.By according to Situation assessment optional feature, owing to showing optional feature when using, therefore interface can be more user friendly, increases the frequency of utilization of various feature.In addition, system can provide driving experience that is safer, that reduce dispersion attention.
Calculation element generally includes computer executable instructions, and wherein instruction can by one or more as above-mentioned those calculation elements enumerated perform.The executable instruction of computing machine (can comprise from the multiple programming language of use and/or technology, but be not limited to, Java TM, C, C++, Visual Basic, Java Script, Perl etc. separately or combine) computer program that creates carries out collecting or explaining.Generally speaking, processor (such as, microprocessor) receives instruction from such as storer, computer-readable medium etc., and performs these instructions, implements one or more process accordingly, comprises the process that one or more the present invention describes.Such instruction and other data can use multiple computer-readable medium to carry out storing and transmitting.
Computer-readable medium (being also referred to as processor readable medium) comprises that any participation provides can by computing machine (such as, processor by computing machine) data that read are (such as, instruction) non-transient (such as, tangible) medium.Such medium can take many forms, includes, but not limited to the medium of non-volatile medium and volatibility.Non-volatile medium can comprise, such as, and CD or disk and other permanent storagies.The medium of volatibility can comprise, and such as, dynamic RAM (DRAM), it typically forms main storer.This instruction can be transmitted by one or more transmission medium, and transmission medium comprises concentric cable, copper cash and optical fiber, comprises the cable comprising the system bus being coupling-connected to computer processor.The form of common computer-readable medium can comprise, such as, floppy disk, Flexible disk, hard disk, tape, other magnetic medium any, CD-ROM driver (CD-ROM), Digital video disc (DVD), other optical medium any, card punch, paper tape, any other has the physical medium of cellular type sample, random access memory (RAM), programmable read-only memory (PROM) (PROM), electrically programable ROM (EPROM), flash electrically programable ROM (FLASH-EEPROM), other memory chip any or chuck, or the medium that other computing machine any can read.
Database, data storage bank or other data-carrier store described in the invention, various storage, access can be comprised and extract the mechanism of various data, comprise the application data base, Relational DBMS (RDBMS) etc. of hierarchical data base, one group of file in file system, professional format.Each this data-carrier store is included in the calculation element of that uses in all those computer operating systems as mentioned above usually, any one in a variety of different ways or multiple, conducts interviews via network.File system can conduct interviews from computer operating system, and can comprise the file stored in various formats.RDBMS uses the Structured Query Language (SQL) (SQL) except the program that establishment, storage, editor and execution store usually, all PL/SQL language as mentioned above.
In some instances, system element may be implemented as at one or more calculation element (such as, server, personal computer etc.) on, be stored in associated computer-readable medium (such as, disk, storer etc.) on computer-readable instruction (such as, software).Computer program can comprise storage on a computer-readable medium to perform such instruction of function described in the invention.
About process described in the invention, system, method, trial method etc., be to be understood that, although the step of these processes etc. has been described to the generation according to certain orderly order, but, such process with the order outside order described in the invention, can be implemented by described step.Should be appreciated that some step can be implemented simultaneously further, other step can be added to, or some step described in the invention can be omitted.In other words, process described in the invention is the object in order to illustrate some embodiment, never should be construed as the restriction for claim.
Correspondingly should be appreciated that description is above intended to be exemplary and nonrestrictive.After explanation on read, the many embodiments except provided example and application will be all apparent.Should not determine the scope of claim with reference to explanation above, and the whole equivalency range should enjoyed with reference to appended claim and this claim is determined.Can predict and be contemplated that in the technology discussed in the present invention and will there will be following development, system and method disclosed in this invention will be merged in the embodiment in these futures.In a word, should be appreciated that this application can be modified and change.
All terms in claims, are all intended to be endowed it and the most reasonably explain, and the common implication that those technician understanding thoroughly technology described in the invention understand, except having done clear and definite contrary declaration of will in non-claimed.Especially, words such as " first ", " second " used, can exchange.

Claims (10)

1. a vehicle interfaces system, comprising:
Interface, is configured to show the icon representing optional vehicle characteristics;
Controller, is configured to: produce for the mark of each feature based on situational variable, and wherein, situational variable comprises vehicle location, car speed and one or all in the final position of the prediction of vehicle; The special icon in described icon is shown and other icon hidden in described icon based on the mark produced.
2. the system as claimed in claim 1, wherein, controller is also configured to produce mark based on the distance between vehicle location and the final position of prediction.
3. system as claimed in claim 2, wherein, mark reduces along with distance and increases.
4. the system as claimed in claim 1, wherein, mark reduces along with car speed and increases.
5. the system as claimed in claim 1, wherein, the final position of prediction is defined by user, or is identified based on previous driving behavior, or is identified based on parking spot data.
6. a vehicle control device, comprising:
At least one situation module, be configured to produce at least one situational variable representing driving-situation, at least one situational variable described comprises vehicle location or car speed;
Processor, be configured to: produce feature scores based on one of the vehicle location and car speed that are defined by least one situational variable described or both, wherein, feature scores represent vehicle characteristics by based on driving-situation via the icon be associated with vehicle characteristics by the possibility selected; Feature based mark shows the special icon in described icon and other icon hidden in described icon.
7. controller as claimed in claim 6, wherein, at least one situational variable described comprises final position, and processor is configured to produce feature scores based on the distance between vehicle location and final position at least in part.
8. controller as claimed in claim 7, wherein, final position is defined by user, or is identified based on previous driving behavior, or is identified based on parking spot data.
9. controller as claimed in claim 6, wherein, at least one situational variable described comprises at least one final position data, at least one final position data described comprise the use designator showing that the history of vehicle characteristics uses, and processor is also configured to produce feature scores based on the use designator of icon.
10. controller as claimed in claim 9, wherein, at least one context variables described comprises car speed designator, and processor is also configured to produce feature scores based on car speed designator.
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Cited By (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106828506A (en) * 2017-02-22 2017-06-13 张军 A kind of automatic DAS (Driver Assistant System) based on context-aware
CN107273996A (en) * 2016-04-05 2017-10-20 福特全球技术公司 Method and apparatus for the driver assistance of prediction
CN108146443A (en) * 2016-12-02 2018-06-12 丰田自动车株式会社 Controller of vehicle
WO2018127798A1 (en) * 2017-01-03 2018-07-12 International Business Machines Corporation Detecting and simulating a moving event in a navigation system
CN109996702A (en) * 2016-12-21 2019-07-09 奥迪股份公司 Method for configuring vehicle
CN110065455A (en) * 2019-04-24 2019-07-30 深圳市麦谷科技有限公司 Vehicle-mounted function intelligent starting method, apparatus, computer equipment and storage medium
CN111083630A (en) * 2019-11-27 2020-04-28 北京中交兴路信息科技有限公司 Method and device for acquiring road section where vehicle stopping point is located
CN112752670A (en) * 2020-12-25 2021-05-04 华为技术有限公司 Central control screen display method and related equipment
CN113760423A (en) * 2020-06-03 2021-12-07 美光科技公司 Vehicle with intelligent user interface

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115033152B (en) * 2022-06-22 2024-06-14 中国商用飞机有限责任公司 Display interface control method and electronic equipment

Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1892180A (en) * 2005-07-08 2007-01-10 日产自动车株式会社 Menu display device and method
CN1979585A (en) * 2005-12-07 2007-06-13 Lg电子株式会社 Condition-dependent icon generation for vehicular information terminals
US20090146846A1 (en) * 2007-12-10 2009-06-11 Grossman Victor A System and method for setting functions according to location
JP2009263095A (en) * 2008-04-25 2009-11-12 Mitsubishi Heavy Ind Ltd Display device for cargo-handling vehicle
EP2330383A1 (en) * 2009-12-03 2011-06-08 Mobile Devices Ingenierie Information device for a vehicle driver and method for controlling such a device
US20110260965A1 (en) * 2010-04-22 2011-10-27 Electronics And Telecommunications Research Institute Apparatus and method of user interface for manipulating multimedia contents in vehicle
US20130038437A1 (en) * 2011-08-08 2013-02-14 Panasonic Corporation System for task and notification handling in a connected car

Family Cites Families (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20050054381A1 (en) * 2003-09-05 2005-03-10 Samsung Electronics Co., Ltd. Proactive user interface
US8068605B2 (en) * 2006-03-07 2011-11-29 Sony Ericsson Mobile Communications Ab Programmable keypad
US8493407B2 (en) * 2009-09-03 2013-07-23 Nokia Corporation Method and apparatus for customizing map presentations based on user interests
US20110082620A1 (en) * 2009-10-05 2011-04-07 Tesla Motors, Inc. Adaptive Vehicle User Interface
US20130152001A1 (en) * 2011-12-09 2013-06-13 Microsoft Corporation Adjusting user interface elements

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1892180A (en) * 2005-07-08 2007-01-10 日产自动车株式会社 Menu display device and method
CN1979585A (en) * 2005-12-07 2007-06-13 Lg电子株式会社 Condition-dependent icon generation for vehicular information terminals
US20090146846A1 (en) * 2007-12-10 2009-06-11 Grossman Victor A System and method for setting functions according to location
JP2009263095A (en) * 2008-04-25 2009-11-12 Mitsubishi Heavy Ind Ltd Display device for cargo-handling vehicle
EP2330383A1 (en) * 2009-12-03 2011-06-08 Mobile Devices Ingenierie Information device for a vehicle driver and method for controlling such a device
US20110260965A1 (en) * 2010-04-22 2011-10-27 Electronics And Telecommunications Research Institute Apparatus and method of user interface for manipulating multimedia contents in vehicle
US20130038437A1 (en) * 2011-08-08 2013-02-14 Panasonic Corporation System for task and notification handling in a connected car

Cited By (13)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107273996A (en) * 2016-04-05 2017-10-20 福特全球技术公司 Method and apparatus for the driver assistance of prediction
CN108146443A (en) * 2016-12-02 2018-06-12 丰田自动车株式会社 Controller of vehicle
CN109996702A (en) * 2016-12-21 2019-07-09 奥迪股份公司 Method for configuring vehicle
CN109996702B (en) * 2016-12-21 2022-05-24 奥迪股份公司 Method for configuring a vehicle
GB2573232A (en) * 2017-01-03 2019-10-30 Ibm Detecting and simulating a moving event in a navigation system
JP2020515926A (en) * 2017-01-03 2020-05-28 インターナショナル・ビジネス・マシーンズ・コーポレーションＩｎｔｅｒｎａｔｉｏｎａｌ Ｂｕｓｉｎｅｓｓ Ｍａｃｈｉｎｅｓ Ｃｏｒｐｏｒａｔｉｏｎ Method and system for detecting and simulating movement event in navigation system
WO2018127798A1 (en) * 2017-01-03 2018-07-12 International Business Machines Corporation Detecting and simulating a moving event in a navigation system
CN106828506A (en) * 2017-02-22 2017-06-13 张军 A kind of automatic DAS (Driver Assistant System) based on context-aware
CN110065455A (en) * 2019-04-24 2019-07-30 深圳市麦谷科技有限公司 Vehicle-mounted function intelligent starting method, apparatus, computer equipment and storage medium
CN111083630A (en) * 2019-11-27 2020-04-28 北京中交兴路信息科技有限公司 Method and device for acquiring road section where vehicle stopping point is located
CN111083630B (en) * 2019-11-27 2021-03-26 北京中交兴路信息科技有限公司 Method and device for acquiring road section where vehicle stopping point is located
CN113760423A (en) * 2020-06-03 2021-12-07 美光科技公司 Vehicle with intelligent user interface
CN112752670A (en) * 2020-12-25 2021-05-04 华为技术有限公司 Central control screen display method and related equipment

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