A computer server prepares application-specific map data responsive to a request from a client device. The application-specific map data includes map feature data and label data which itself includes information that specifies one or more zoom levels for which the label information is appropriate to display. When generating the label data, a type table that designates label style information by feature type and by zoom level may be used at the server. The map feature data may also include a relative rank for each feature that is passed to its corresponding label. The display order allows the map client, when generating the map, to select the most appropriate labels to display when the display of all possible labels would cause clutter or otherwise violate label display rules.

A system and method for the classification of geographic locations based on vehicle trip logs, including: grouping a plurality of trip records by vehicle, wherein the plurality of trip records include start times and locations and stop times and locations; sorting the plurality of trip records for a vehicle in one of descending or ascending order with respect to stop times; calculating a plurality of time differences between consecutive trips of the plurality of trip records; storing the plurality of time differences in a stop time array; for a first plurality of time differences, storing the associated stop locations in a first location array; for a second plurality of stop times, storing the associated stop locations in a second location array; and computing a time difference median for each of the first location array and the second location array and returning the time difference medians as results for each location.

Based on map information acquired from a map DB, a viewpoint for viewing a ground surface on a map of a set region at a time of displaying the map is set. Altitude information that indicates an altitude of a landform present in at least a partial region of the set region is stored. In a case where the altitude information is present in the map DB at a position on the map, which is set in response to a position indicated by inputted position information, a sight direction of the viewpoint is changed, and the viewpoint is thereby set at a position higher than the altitude of the landform, which is indicated by altitude information of the position on the map. A display data for displaying, on a display device, a map in a case of viewing the ground surface from the viewpoint set is generated.

An object of the present invention is to provide a technique capable of predicting whether a vehicle can reach a desired facility or point by traveling on a retrieved route to the destination. A navigation apparatus includes an information storage that stores map information, a current position detector that detects a current position of the vehicle, an instruction receiver that receives a setting of a destination, and a vehicle information receiver that receives information on a remaining amount of the electricity charged. The navigation apparatus further includes a processing circuitry that retrieves a route to the destination from the map information and calculates a first travelable range in which the vehicle is allowed to travel from the current position through at least a part of the route to cause the first travelable range to be displayed.

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.

Provided are a method, an apparatus, and a computer program for generating road network data for an autonomous driving vehicle. The method of generating road network data for an autonomous driving vehicle, which is performed by a computing device, the method includes generating one or more roads by grouping a plurality of unit lanes, generating connection information about the one or more roads, and generating road network data including road graphs generated by graphing the one or more roads and reflecting the connection information on the graphed one or more roads.

There is disclosed a method for rendering search results on a map displayable on an electronic device, the search results being responsive to a geo-search query associated with the map, the electronic device connectable to a map server via a communication network. The method is executable by the electronic device. The method includes maintaining POI label rendering rules, which prescribe rendering rules for processing POI labels associated with POIs that form part of the ranked set of search results. When the electronic device processes additional sets of ranked search results, the method comprises generating a POI label density ratio, which is used to modify the rendering rules used for rendering newly received (i.e. not previously rendered) POI labels. The processing rules can be defined for each zoom level of the map viewport. The method further includes executing collision verification routine to further modify the POI label rendering rules.

Embodiments relate to producing a plan of a route in a transportation system. The method receives route requirements, including a starting location and an ending location. The method builds a model of the transportation system from data about vehicles. The model abstracts a “prospect travel” between two locations using any of a range of choices of vehicles and walks that can transport between the two locations. Given anticipated wait durations for the vehicles and their ride durations, the method determines an expected minimum travel duration using any of these choices. The method combines the expectations for various locations in a scalable manner. As a result, a route plan that achieves a shortest expected travel duration, and meets other requirements, is computed for one of the largest metropolitan areas in existence today. Other embodiments include a computer system and a product service that implement the method.

The disclosure discloses a method for processing map data, a device, and a storage medium. The detailed implementing solution includes: determining POI data of bound points of interest (POI) of a road to be marked in response to obtaining a road marking instruction; selecting target POI data from the POI data of the bound POIs based on a scene where a user is located; and rendering a map interface based on road information of the road to be marked and the target POI data, and displaying the map interface rendered.

A system for context-aware decision making of an autonomous agent includes a computing system having a context selector and a map. A method for context-aware decision making of an autonomous agent includes receiving a set of inputs, determining a context associated with an autonomous agent based on the set of inputs, and optionally any or all of: labeling a map; selecting a learning module (context-specific learning module) based on the context; defining an action space based on the learning module; selecting an action from the action space; planning a trajectory based on the action S260; and/or any other suitable processes.