A guidance display system includes an AR display device and a server. The AR display device includes a display unit and a display control unit configured to display, on the display unit, an augmented reality image in which an image of a virtual object for guidance is superimposed on scenery of a real world. The server is wirelessly connected to the display device. The server includes a theme park-specific character storage unit, a 3D model extraction unit, and a transmission unit. The theme park-specific character storage unit stores character information set for a theme park. The 3D model extraction unit extracts the character of the theme park set as the destination, as a virtual object for guidance. The transmission unit transmits the image data of the extracted virtual object for guidance to the display control unit of the AR display device.

A mobile device includes an input device configured to receive a user input, a location receiver configured to receive location information, an image obtainer configured to obtain an image of surrounding environment, a controller configured to perform a navigation function based on destination information received by the input device and the current location information obtained by the location receiver, and perform an augmented reality (AR) function based on image information on the image obtained by the image obtainer upon a determination that the current location is adjacent to the destination based on the destination information and the current location information during execution of the navigation function, and a display device configured to display a navigation image in response to the navigation function or an AR image in response to the AR function based on a control command of the controller.

In accordance with an aspect of the present disclosure, there is provided a landmark position estimating method performed by a landmark position estimating apparatus. The method comprises, identifying a first type landmark and a second type landmark from an image, captured by an image capturing device of a vehicle, including various landmarks on a driving route, estimating a three-dimensional position of the identified first type landmark based on a plurality of the images on which the first type landmark is identified and a digital map including a driving area of the vehicle, and estimating a position of the identified second type landmark on a virtual plane including the three-dimensional position of the first type landmark.

An information processing system includes one or more vehicles; and a server configured to communicate with the one or more vehicles, wherein each of the one or more vehicles is configured to generate a first video of a traveling route by capturing an outside scene while traveling, and the server is configured to store a plurality of the first videos generated by the one or more vehicles, generate a second video of a specific route using two or more of the first videos, the specific route being different from the traveling route of each of the plurality of the first videos, and send the second video to a terminal device.

Telematics systems and methods are described for generating interactive animated guided user interfaces (GUIs). A telematics cloud platform is configured to receive vehicular telematics data from a telematics device onboard a vehicle. A GUI value compression component determines, based on the vehicular telematics data, a plurality of GUI position values and a plurality of corresponding GUI time values. A geospatial animation app receives the plurality of GUI position values and the plurality of corresponding GUI time values. The geospatial animation app implements an interactive animated GUI that renders a plurality of geospatial graphics or graphical routes on a geographic area map via a display device. The geospatial graphics or graphical routes are rendered to have different visual forms based on differences between respective GUI position values and corresponding GUI time values.

Provided is a processor configured to, when a guidance target vehicle is unable to travel a charging area that is provided between a first point and a second point and that is for performing charging of an in-vehicle battery, output to the guidance target vehicle guidance information of a first route including the first point and the second point and not including the charging area, and when the guidance target vehicle is able to travel the charging area, output to the guidance target vehicle guidance information of a second route including the first point, the charging area, and the second point.

Disclosed is a method for providing a navigation service by a mobile terminal. According to the present specification, when there is at least one mode change section in which a navigation mode needs to be changed in a discovered path, map data, which serves as a basis for path guidance, is changed from first map data to second map data when entering the mode change section, and thus the navigation service can be successively provided in the changed navigation mode. Accordingly, by inputting a destination once, it is possible to implement a seamless path guidance service using a mobile even in an environment in which a vehicle cannot enter.

Computer-implemented method for determining coordinates of navigation key points indicative of road sign locations and/or turn points, the method comprising: collecting, as a first training data subset, one or more first images of a first camera comprised in a mobile device; obtaining, as a second training data subset, image-related coordinates of navigation key points related to the images of the first training data subset; supplying the first training data subset and the second training data subset to an artificial neural network as a training dataset; training the artificial neural network on the training dataset to predict image-related coordinates of navigation key points indicative of road sign locations and/or turn points; capturing a second image of a second camera as an input dataset, processing the input dataset by the artificial neural network to predict image-related coordinates of navigation key points indicative of road sign locations and/or turn points.

Systems and methods for determining a location based on a direction sign. A method includes receiving a map of a physical area that includes a plurality of nodes connected by a links, where each link represents a travel path between connected nodes and has an associated distance value. The method includes receiving image data that indicates at least a first destination point of interest (POI) associated with a first physical direction and a second destination POI associated with a second physical direction. The method includes associating the first destination POI with a first node and associating the second destination POI with a second node. The method includes determining a location node of the plurality of the nodes according to the distances and directions of shortest paths to the first and second nodes, and returning a physical location corresponding to the determined location node.

A driving guidance system that provides a driving guidance to a driver when the driver makes operations to remotely control a vehicle in a driving route. The driving guidance system includes at least one driving guidance equipment, an analytic engine, a control platform. The driving guidance equipment is distributed along the driving route for recording data of the vehicle. The analytic engine receives and analyzes the data of the vehicle to generate a plurality of features of the vehicle. The control platform further includes a real virtuality objects generator and a display. The real virtuality objects generator generates a plurality of real virtuality objects based on the features of the vehicle and the display shows the real virtuality objects to the driver of the vehicle for providing the driving guidance.