Embodiments disclose a computer-implemented method for guiding a user along a route, the method including receiving route information from a route server, where the route information includes geographical positions of roads and designated lanes of travel for each of a plurality of segments along the route, and receiving a series of images captured by the camera along the route. The method includes analyzing the series of images to determine a horizon and one or more available lanes of travel along the route, identifying one or more designated lanes from the one or more available lanes based on the analyzing of the series of images, and displaying the series of images along with a navigational layer superimposed over the series of images to the user, the navigational layer comprising a blocked region covering areas of the series of images outside of the one or more designated lanes and below the horizon.

A device mounted on a vehicle includes a processor configured to receive information for traveling guidance, which is generated based on an image of a specific point. The image of the specific point is captured by another vehicle, and the specific point is a point at which a traveling route of a different vehicle deviates from a guidance route.

A method for displaying a virtual object is disclosed, applied to an electronic device (10) having a display component (323) and a camera (324). The method includes: detecting an operation of starting an application by a user; in response to the operation, downloading a global submap and storing the global submap in a simultaneous localization and mapping SLAM system of the electronic device (10), where the global submap (123) is a submap corresponding to a location of the electronic device (10) in a global map; and displaying a location and a posture of the virtual object on the display component (323), where the location and the posture of the virtual object are obtained by performing pose calculation based on at least a video image collected by the camera (324) and the global submap (123).

The present disclosure has an object to provide an information processing apparatus that can easily grasp a passenger during a driver's driving. A controller included in an information processing apparatus according to the present disclosure executes: acquiring first information that is information related to an appearance of a passenger having requested a ride in a vehicle being driven by a driver and is image information taken; and generating information related to the passenger by converting the first information into second information representing a predetermined characteristic part of the appearance of the passenger.

An image processing device includes: an information acquisition unit configured to acquire outside information including color information of outside of a vehicle; an image generation unit configured to generate, based on the outside information, a first image in which a difference in the color information with respect to the outside of the vehicle is within a predetermined range; and an output unit configured to output the first image to a display provided in a cabin of the vehicle.

This disclosure is generally directed to generating travel route information that is interpretable by a delivery robot for traversing a last mile of a delivery. In an example embodiment, an individual captures a video clip while moving along a travel route that is preferred by the individual for use by the delivery robot. The video clip is converted into a digital route map that the delivery robot uses to reach a package drop-off location on the property. In another example embodiment, an individual captures an image of a portion of the property and appends oral instructions to reach the package drop-off location. The image and the oral instructions are converted into a digital route map for use by the delivery robot. In yet another example embodiment, markers affixed to a surface of a traversable area on the property are used by the delivery robot to reach the package drop-off location.

An approach is provided for generating navigation data of a geographical location. The approach involves identifying a landmark located along a source road from a source image and segmenting the source image using a deep learning model to identify a segmentation mask. The approach also involves generating a template image based on the segmentation mask and a street image of the landmark, and matching the template image successively with a sequence of images of the landmark to determine a confidence score. The approach further involves, identifying a first image from the sequence of images with confidence score below a predetermined threshold, and selecting a second image with confidence score above the predetermined threshold from the sequence of images. The approach further involves calculating a visibility distance of the landmark based on the source image and the second image, and generating the navigation data based on the calculated visibility distance.

A device may receive data associated with a delivery and display a first portion of a route associated with the delivery and first image data of an environment along the first portion. The device may determine that the first portion has been completed and may then display a second portion of the route. During display of the second portion, second image data representing a delivery location associated with the delivery may be presented. The first portion and the second portion may represent portions of the delivery that are completed using different modes of travel.

A device is disclosed for generating navigation instructions for display on a display device of a portable navigation device, comprising: means for accessing a repository storing digital map data pertaining to a navigable network along which the navigation device can travel; means for generating, for display on the display device, a three-dimensional perspective view of a model representative of the map data as though from a camera positioned at an elevation and pitch angle behind a current position of the portable navigation device, that is updated to follow the device as it travels along a planned route through the navigable network; and means for generating, in response to detecting that the current position of the navigation device is closer than a predetermined distance to a decision point in the planned route, a fast forward preview of the upcoming decision point by advancing the position of the camera for the three-dimensional perspective view along the planned route at a speed faster than the rate of travel of the current position of the device. Methods of operation of the device, and related computer software, are also disclosed.

Systems and methods are disclosed herein for recovering inaccurate or missing base map data for an area while providing riders with incentive to refrain from selecting an alternate transportation service while experiencing increased wait times. A service receives a request for a driver and locates a driver to provide the service. The service determines whether the wait time for the rider exceeds a threshold wait time established by the service. If the service determines that the wait time exceeds the threshold wait time, the service identifies an object within a threshold vicinity of the rider known to have inaccurate or missing base map data. The service transmits a prompt for the rider to capture an image of the object. The service receives a rendering of the captured images from the client device, and activates a function via the client device if the images accurately capture the identified objects included in the prompt.