Abstract: Some embodiments of the invention provide a mobile device with a novel route prediction engine that (1) can formulate predictions about current or future destinations and/or routes to such destinations for the device's 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.

Abstract: Exemplary methods, apparatuses, and systems receive an indication that an order associated with a user account is ready for pickup. One or more messages to a user device associated with the user account are transmitted in response to the received indication that the order is ready. The one or more messages include identification of the order as being ready for pickup, a pickup location for the order, and a threshold distance from the pickup location for the order. Location data is received at a limited interval from a user device while the user device is outside of the threshold distance from the pickup location. Location data is received at a more frequent interval than the limited interval while the user device is within the threshold distance. The location data is transmitted to a local pickup device to trigger an alert when the user device is approaching the pickup location.

Abstract: Some embodiments of the invention provide a mobile device with a novel route prediction engine that (1) can formulate predictions about current or future destinations and/or routes to such destinations for the device's 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.

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.

Abstract: Embodiments may include determining a navigation route between an origination and a destination; the route may span multiple portions of a map. Embodiments may also include receiving an order of priority in which to receive the multiple portions of the map; the order may be generated based on distinct levels of expected signal strength for each of the multiple portions. For instance, within the order of priority, map portions associated with areas of low signal strength may be ranked higher than areas of higher signal strength. Embodiments may also include acquiring at least some of the portions of the map according to the order of priority, and generating a map display comprising the multiple portions of the map. For instance, map portions associated with areas of poor reception may be downloaded first whereas map portions associated with strong signal strength may be downloaded on-the-fly during route navigation.

Abstract: Some embodiments provide location-based, application-feature notifications for a multi-feature application that executes on a device. For instance, when a feature (e.g., a functionality, or service) of an application becomes available in a particular region, some embodiments provide a notification of the availability of the new feature in the particular region. In some embodiments, the notification is a location-based notification that is provided to only devices that execute in or near the particular region in which the location-based feature has recently become available. In other embodiments, the notification is also provided to devices that are not near the particular region (e.g., are provided to all devices in the United States, when the feature becomes available in California).

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 provide a navigation application. The navigation application includes an interface for receiving data describing junctures along a route from a first location to a second location. The data for each juncture comprises a set of angles at which roads leave the juncture. The navigation application includes a juncture simplifier for simplifying the angles for the received junctures. The navigation application includes an arrow generator for generating at least two different representations of the simplified juncture. The representations are for use in displaying navigation information describing a maneuver to perform at the juncture during the route. The navigation application includes an arrow selector for selecting one of the different representations of the simplified juncture for display according to a context in which the representation will be displayed.

Abstract: Displaying frames on an electronic display. Each frame is characterized by a time. Determining a characteristic of data related to each element of a first set of frames, each frame characterized as within a first time period. Determining a rate of change over time of the characteristic. Determining a frame rate based on the determined rate of change. Displaying a second set of frames at the frame rate.

Abstract: A mobile computing device can be used to locate a vehicle parking location. In particular, the mobile device can automatically identify when a vehicle in which the mobile device is located has entered into a parked state. The mobile device can determine that the vehicle is in a parked state by analyzing one or more parameters that indicate a parked state or a transit state. The location of the mobile device at a time corresponding to when the vehicle is identified as being parked can be associated with an identifier for the current parking location.

Abstract: Some embodiments of the invention provide a navigation application that presents road signs during a navigation presentation. In presenting the road signs, the application of some embodiments differentiates the appearance of road signs at junctions that require a change of direction from road signs at junctions that do not require a change of direction. The application may perform processes that ensure that it arranges the road signs on the map in an aesthetically pleasing manner. In addition, the navigation application of some embodiments does not display too many road signs along the navigated route so that the route is not by occluded by too many road signs.

Abstract: A mobile computing device can be used to locate a vehicle parking location in weak location signal scenarios (e.g., weak, unreliable, or unavailable GPS or other location technology). In particular, the mobile device can determine when a vehicle in which the mobile device is located has entered into a parked state. GPS or other primary location technology may be unavailable at the time the mobile device entered into a parked state (e.g., inside a parking structure). The location of the mobile device at a time corresponding to when the vehicle is identified as being parked can be determined using the first location technology as supplemented with sensor data of the mobile device. After the location of the mobile device at a time corresponding to when the vehicle is identified as being parked is determined, the determined location can be associated with an identifier for the current parking location.

Abstract: A device that provides a map and/or navigation application that displays items on the map and/or navigation instructions differently in different modes. The applications of some embodiments provide a day mode and a night mode. In some embodiments the application uses the day mode as a default and activates the night mode when the time is after sunset at the location of the device. Some embodiments activate night mode when multiple conditions are satisfied (for example, when (1) the time is after sunset at the location of the device and (2) the ambient light level is below a threshold brightness).

Abstract: Some embodiments of the invention provide a mobile device with a novel route prediction engine that (1) can formulate predictions about current or future destinations and/or routes to such destinations for the device's 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.

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.

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.

Abstract: A mobile computing device can be used to locate a vehicle parking location in weak location signal scenarios (e.g., weak, unreliable, or unavailable GPS or other location technology). In particular, the mobile device can determine when a vehicle in which the mobile device is located has entered into a parked state. GPS or other primary location technology may be unavailable at the time the mobile device entered into a parked state (e.g., inside a parking structure). The location of the mobile device at a time corresponding to when the vehicle is identified as being parked can be determined using the first location technology as supplemented with sensor data of the mobile device. After the location of the mobile device at a time corresponding to when the vehicle is identified as being parked is determined, the determined location can be associated with an identifier for the current parking location.

Abstract: A mobile computing device can be used to locate a vehicle parking location. In particular, the mobile device can automatically identify when a vehicle in which the mobile device is located has entered into a parked state. The mobile device can determine that the vehicle is in a parked state by analyzing one or more parameters that indicate a parked state or a transit state. The location of the mobile device at a time corresponding to when the vehicle is identified as being parked can be associated with an identifier for the current parking location.

Abstract: Embodiments of a system and method for navigation guidance with destination biased route display are described. Embodiments include displaying a map at a first viewing angle on an electronic display. The map include a graphical indication of a position of a user that is traveling. Embodiments also include determining a destination of the user; and based on the user's destination, displaying the map at a second viewing angle on the electronic display. In various embodiments, this second viewing angle is biased toward the user's destination. In various embodiments, biasing this second viewing angle in this way may provide the user with useful insight into the particular location of the destination. In some cases, in addition to biasing the viewing angle, embodiments also cause obstructions (e.g., building graphics) to become translucent in order to provide the user with a better view of the destination during navigation.

Abstract: Embodiments of the present invention generally relate to a drawer lifting mechanism, and more particularly to a mechanism that is adapted to bring stored items that are disposed on a supporting surface of a drawer lifting mechanism to a user. The drawer lifting mechanism may be actuated by human power or by use of one or more actuators. In some configurations, the drawer lifting mechanism is disposed and used in the kitchen to enable the delivery of the contents of a kitchen cabinet to a user that is disposed proximate to the cabinet.