Abstract:
Verfahren zur Bereitstellung von Navigationsinstruktionen in einem Sperrmodus von einer Vorrichtung wird offenbart. Das Verfahren bestimmt, während der Anzeigebildschirm der Vorrichtung ausgeschaltet ist, dass die Vorrichtung nahe an einem Navigationspunkt ist. Das Verfahren schaltet den Anzeigebildschirm an und stellt Navigationsinstruktionen bereit. In einigen Ausführungsformen identifiziert das Verfahren die Stufe des Umgebungslichts um die Vorrichtung und schaltet die Anzeige mit einer Helligkeitsstufe, welche durch die identifizierte Umgebungslichtstufe bestimmt wird, ein. Das Verfahren schaltet die Anzeige aus nachdem der Navigationspunkt passiert ist.
Abstract:
Methods, computer-readable media, and computer systems for finding wireless network access points. Geographic location information describing a geographic location of a computer system within a geographic area is received. From a storage medium that stores information defining multiple geographic cells and, for each cell, information defining multiple wireless network access points, a particular geographic cell within which the geographic location described by the geographic location information is located is identified. Access points within the particular geographic cell are identified, and provided in response to receiving the geographic location information.
Abstract:
Some embodiments of the invention provide a novel prediction engine that (1) can formulate predictions about current or future destinations and/or routes to such destinations for a user, and (2) can relay information to the user about these predictions. In some embodiments, this engine includes a machine-learning engine that facilitates the formulation of predicted future destinations and/or future routes to destinations based on stored, user-specific data. The user- specific data is different in different embodiments. In some embodiments, the stored, user- specific data includes data about any combination of the following: (1) previous destinations traveled to by the user, (2) previous routes taken by the user, (3) locations of calendared events in the user's calendar, (4) locations of events for which the user has electronic tickets, and (5) addresses parsed from recent e-mails and/or messages sent to the user. In some embodiments, the prediction engine only relies on user-specific data stored on the device on which this engine executes. Alternatively, in other embodiments, it relies only on user-specific data stored outside of the device by external devices/servers. In still other embodiments, the prediction engine relies on user-specific data stored both by the device and by other devices/servers.
Abstract:
A method of providing navigation instructions in a locked mode of a device is disclosed. The method, while the display screen of the device is turned off, determines that the device is near a navigation point. The method turns on the display screen and provides navigation instructions. In some embodiments, the method identifies the ambient light level around the device and turns on the display at brightness level determined by the identified ambient light level. The method turns off the display after the navigation point is passed.
Abstract:
Some embodiments provide a navigation application that presents a novel navigation presentation on a device. The application identifies a location of the device, and identifies a style of road signs associated with the identified location of the device. The application then generates navigation instructions in form of road signs that match the identified style. To generate the road sign, the application in some embodiments identifies a road sign template image for the identified style, and generates the road sign by compositing the identified road sign template with at least one of text instruction and graphical instruction. In some embodiments, the road sign is generated as a composite textured image that has a texture and a look associated with the road signs at the identified location.
Abstract:
Some embodiments of the invention provide a novel prediction engine that (1) can formulate predictions about current or future destinations and/or routes to such destinations for a user, and (2) can relay information to the user about these predictions. In some embodiments, this engine includes a machine-learning engine that facilitates the formulation of predicted future destinations and/or future routes to destinations based on stored, user-specific data. The user-specific data is different in different embodiments. In some embodiments, the stored, user-specific data includes data about any combination of the following: (1) previous destinations traveled to by the user, (2) previous routes taken by the user, (3) locations of calendared events in the user's calendar, (4) locations of events for which the user has electronic tickets, and (5) addresses parsed from recent e-mails and/or messages sent to the user. In some embodiments, the prediction engine only relies on user-specific data stored on the device on which this engine executes. Alternatively, in other embodiments, it relies only on user-specific data stored outside of the device by external devices/servers. In still other embodiments, the prediction engine relies on user-specific data stored both by the device and by other devices/servers.
Abstract:
Some embodiments of the invention provide a novel prediction engine that (1) can formulate predictions about current or future destinations and/or routes to such destinations for a user, and (2) can relay information to the user about these predictions. In some embodiments, this engine includes a machine-learning engine that facilitates the formulation of predicted future destinations and/or future routes to destinations based on stored, user-specific data. The user- specific data is different in different embodiments. In some embodiments, the stored, user- specific data includes data about any combination of the following: (1) previous destinations traveled to by the user, (2) previous routes taken by the user, (3) locations of calendared events in the user's calendar, (4) locations of events for which the user has electronic tickets, and (5) addresses parsed from recent e-mails and/or messages sent to the user. In some embodiments, the prediction engine only relies on user-specific data stored on the device on which this engine executes. Alternatively, in other embodiments, it relies only on user-specific data stored outside of the device by external devices/servers. In still other embodiments, the prediction engine relies on user-specific data stored both by the device and by other devices/servers.
Abstract:
Some embodiments provide a navigation application that presents a novel navigation presentation on a device. The application identifies a location of the device, and identifies a style of road signs associated with the identified location of the device. The application then generates navigation instructions in form of road signs that match the identified style. To generate the road sign, the application in some embodiments identifies a road sign template image for the identified style, and generates the road sign by compositing the identified road sign template with at least one of text instruction and graphical instruction. In some embodiments, the road sign is generated as a composite textured image that has a texture and a look associated with the road signs at the identified location.
Abstract:
A method of providing navigation instructions in a locked mode of a device is disclosed. The method, while the display screen of the device is turned off, determines that the device is near a navigation point. The method turns on the display screen and provides navigation instructions. In some embodiments, the method identifies the ambient light level around the device and turns on the display at brightness level determined by the identified ambient light level. The method turns off the display after the navigation point is passed.