Abstract: Devices, methods, nd machine-read le media to facilitate intuitive comparison and selection of calculated navigation routes are disclosed. An electronic device for navigation includes a touch-sensitive screen and a processing module for displaying a map, calculating a number or navigation routes simultaneously on the touch-sensitive screen, and receiving a selection of a route. Callouts, or markers for presenting key information about each route, are also displayed discretely on the map. Navigation tiles including key route information and route pictorials can also be created and displayed for each calculated route.

Abstract: At least certain embodiments of the present disclosure include an environment with a framework of software code interacting with a plurality of applications to provide gesture operations in response to user inputs detected on a display of a device. A method for operating through an application programming interface (API) in this environment includes displaying a user interface that includes a respective view that is associated with a respective application of the plurality of applications. The method includes, while displaying the respective view, detecting, via the software code, a user input within the region of the touch-sensitive surface that corresponds to the respective view, and, in response, in accordance with a determination that the user input is an inadvertent user input, ignoring the user input. The determination that the user input is an inadvertent user input is made based on an inadvertent user input call transferred through the API.

Abstract: A device, method, and graphical user interface for providing maps, directions, and location-based information on a touch screen display are disclosed.

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: At least certain embodiments of the present disclosure include an environment with a framework of software code interacting with a plurality of applications to provide gesture operations in response to user inputs detected on a display of a device. A method for operating through an application programming interface (API) in this environment includes displaying a user interface that includes a respective view that is associated with a respective application of the plurality of applications. The method includes, while displaying the respective view, detecting, via the software code, a user input within the region of the touch-sensitive surface that corresponds to the respective view, and, in response, in accordance with a determination that the user input is an inadvertent user input, ignoring the user input. The determination that the user input is an inadvertent user input is made based on an inadvertent user input call transferred through the API.

Abstract: A method includes of routing an autonomous vehicle includes receiving information obtained from a camera on a second vehicle distinct from the autonomous vehicle. The method includes automatically identifying a road condition using image analysis of the information received from the camera on the second vehicle. The method includes receiving a request to route the autonomous vehicle from a first location to a second location; and in response to the request: generating a cost model for routing the autonomous vehicle, wherein the cost model includes a cost of the road condition automatically identified from the information received from the camera on the second vehicle; selecting a route from the first location to the second location in accordance with the cost model; and routing an autonomous vehicle in accordance with the selected route.

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: At least certain embodiments of the present disclosure include an environment with a framework of software code interacting with a plurality of applications to provide gesture operations in response to user inputs detected on a display of a device. A method for operating through an application programming interface (API) in this environment includes displaying a user interface that includes a respective view that is associated with a respective application of the plurality of applications. The method includes, while displaying the respective view, detecting, via the software code, a user input within the region of the touch-sensitive surface that corresponds to the respective view, and, in response, in accordance with a determination that the user input is an inadvertent user input, ignoring the user input. The determination that the user input is an inadvertent user input is made based on an inadvertent user input call transferred through the API.

Abstract: Devices, methods, nd machine-read le media to facilitate intuitive comparison and selection of calculated navigation routes are disclosed. An electronic device for navigation includes a touch-sensitive screen and a processing module for displaying a map, calculating a number or navigation routes simultaneously on the touch-sensitive screen, and receiving a selection of a route. Callouts, or markers for presenting key information about each route, are also displayed discretely on the map. Navigation tiles including key route information and route pictorials can also be created and displayed for each calculated route.

Abstract: Devices, methods, and machine-readable media to facilitate intuitive comparison and selection of calculated navigation routes are disclosed. An electronic device for navigation includes a touch-sensitive screen and a processing module for displaying a map, calculating a number or navigation routes simultaneously on the touch-sensitive screen, and receiving a selection of a route. Callouts, or markers for presenting key information about each route, are also displayed discretely on the map. Navigation tiles including key route information and route pictorials can also be created and displayed for each calculated route.

Abstract: A multi-step animation sequence for smoothly transitioning from a map view to a panorama view of a specified location is disclosed. An orientation overlay can be displayed on the panorama, showing a direction and angular extent of the field of view of the panorama. An initial specified location and a current location of the panorama can also be displayed on the orientation overlay. A navigable placeholder panorama to be displayed in place of a panorama at the specified location when panorama data is not available is disclosed. A perspective view of a street name annotation can be laid on the surface of a street in the panorama.

Abstract: A method includes of routing an autonomous vehicle includes receiving information obtained from a camera on a second vehicle distinct from the autonomous vehicle. The method includes automatically identifying a road condition using image analysis of the information received from the camera on the second vehicle. The method includes receiving a request to route the autonomous vehicle from a first location to a second location; and in response to the request: generating a cost model for routing the autonomous vehicle, wherein the cost model includes a cost of the road condition automatically identified from the information received from the camera on the second vehicle; selecting a route from the first location to the second location in accordance with the cost model; and routing an autonomous vehicle in accordance with the selected route.

Abstract: The present technology provides a purchasing interface within an application that allows users to purchase a product from another source without leaving the application. The application offers a product for purchase, and a user, desiring to purchase the product can provide an input effective to cause a purchasing interface to be displayed. While the purchasing interface, or information presented therein, comes from the product source, which is different than the application source, it is presented in such a fashion that gives the impression to the user that they are purchasing the product directly from the application.

Abstract: Some embodiments of the invention provide a navigation application that allows a user to peek ahead or behind during a turn-by-turn navigation presentation that the application provides while tracking a device (e.g., a mobile device, a vehicle, etc.) traversal of a physical route. As the device traverses along the physical route, the navigation application generates a navigation presentation that shows a representation of the device on a map traversing along a virtual route that represents the physical route on the map. While providing the navigation presentation, the navigation application can receive user input to look ahead or behind along the virtual route. Based on the user input, the navigation application moves the navigation presentation to show locations on the virtual route that are ahead or behind the displayed current location of the device on the virtual route. This movement can cause the device representation to no longer be visible in the navigation presentation.

Abstract: A device, method, and graphical user interface for providing maps, directions, and location-based information on a touch screen display are disclosed.

Abstract: A method includes storing representations of a passengers and fleet vehicles. The method includes generating a graph representation of a geographic map that includes requested pick-up locations and drop-off locations for the passengers and generating a state graph representation of the passengers and the fleet vehicles. The state graph representation includes a plurality of nodes connected by edges. Each of the plurality of nodes represents a candidate state of the passengers and the fleet vehicles. A respective edge of the state graph representation represents an action of a respective vehicle picking up or dropping off a passenger. The respective edge has a cost that is based at least in part on traversal of the graph representation of the geographic map. The method further includes using the state graph representation to generate a set of routes and route the fleet vehicles in accordance with the generated set of routes.

Abstract: A method includes of routing an autonomous vehicle includes receiving information obtained from a camera on a second vehicle distinct from the autonomous vehicle. The method includes automatically identifying a road condition using image analysis of the information received from the camera on the second vehicle. The method includes receiving a request to route the autonomous vehicle from a first location to a second location; and in response to the request: generating a cost model for routing the autonomous vehicle, wherein the cost model includes a cost of the road condition automatically identified from the information received from the camera on the second vehicle; selecting a route from the first location to the second location in accordance with the cost model; and routing an autonomous vehicle in accordance with the selected route.

Abstract: At least certain embodiments of the present disclosure include an environment with a framework of software code interacting with a plurality of applications to provide gesture operations in response to user inputs detected on a display of a device. A method for operating through an application programming interface (API) in this environment includes displaying a user interface that includes a respective view that is associated with a respective application of the plurality of applications. The method includes, while displaying the respective view, detecting, via the software code, a user input within the region of the touch-sensitive surface that corresponds to the respective view, and, in response, in accordance with a determination that the user input is an inadvertent user input, ignoring the user input. The determination that the user input is an inadvertent user input is made based on an inadvertent user input call transferred through the API.

Abstract: A device, method, and graphical user interface for providing maps, directions, and location-based information on a touch screen display are disclosed.

Abstract: A method includes of routing an autonomous vehicle includes receiving information obtained from a camera on a second vehicle distinct from the autonomous vehicle. The method includes automatically identifying a road condition using image analysis of the information received from the camera on the second vehicle. The method includes receiving a request to route the autonomous vehicle from a first location to a second location; and in response to the request: generating a cost model for routing the autonomous vehicle, wherein the cost model includes a cost of the road condition automatically identified from the information received from the camera on the second vehicle; selecting a route from the first location to the second location in accordance with the cost model; and routing an autonomous vehicle in accordance with the selected route.