HERE Global Patente

Example embodiments describe a computer-implemented method, an apparatus, and a computer program product for generating personalized content for users traversing a route. The method may obtain a route and its content attention profile, which assigns an estimated content attention level to each road link based on user attention levels corresponding to various road link features. A control prompt may be generated based on this profile and a first content data file containing text, audio, or video data. The control prompt may instruct adjusting the detail level of the content. A generative artificial intelligence component may process the first content data file and control prompt to generate a second content data file. The second content data file may be presented on a user device. This method may provide an adaptive entertainment experience for users along their route, potentially enhancing engagement and enjoyment during travel.

Methods, apparatuses and computer program products for updating map data are disclosed. The method for updating a map comprises obtaining first map data to be updated, obtaining second map data to be used for updating the first map data, determining a matched second map road segment of a road of the second map data matched to a corresponding matched first map road segment of a road of the first map data, registering the matched second map road segment to the matched first map road segment; and updating the first map data by updating the first map road segment.

A road sign detection method comprises obtaining an unlabeled image of a road segment and executing a neural network trained to identify road signs within the unlabeled image. The neural network comprises a first model configured to localize an object in the unlabeled image. The neural network may further comprise a second model configured to generate classification data associated with the cropped image, based on content of the cropped image, where the classification data corresponds to one or more appearance-based attributes of the cropped image and also to determine a category of the cropped image, based on the classification data of the cropped image. The neural network may comprise a third model configured to generate road sign label data based on the determined category of the cropped image, where the road sign label data represents the identified road sign. The method further comprises outputting the road sign label data.

An approach is provided for matching to directed graph representation of lanes of a road topology network of a digital map. The approach, for instance, involves determining a plurality of lane group centerlines respectively representing a plurality of lane groups of a road network in a geographic database. The approach also involves for each lane group centerline of the plurality of lane group centerlines, determining one or more edges having a pair of node identifiers. The approach further involves inserting the one or more edges and the pair of node identifiers into a lane group routing graph, wherein the lane group routing graph is a directed graph. The approach further involves matching an input directed graph to the lane group routing graph, wherein the input directed graph represents a set of trajectories, and providing a map matching result based on the matching.

An approach is provided for lane-level direction-of-travel detection from overhead imagery. The approach, for instance, involves processing overhead imagery data of a road network to determine a plurality of features indicative of a direction of travel of at least one road lane of the road network. Each feature of the plurality of features indicates a candidate direction of travel. The approach also involves determining the direction of travel of the at least one road lane based on a weighted voting mechanism applied based on the candidate direction of travel of each feature. The weighted voting mechanism weighs the candidate direction of travel of each feature based on a feature type of each feature. The approach further involves associating the determined direction of travel as an attribute of the at least one road lane in a geographic database.

An approach is provided for map matching a vehicle path network to a road topology network of a digital map. The approach, for instance, involves aggregating vehicle trajectory data into a vehicle path network that is a directed graph comprising a plurality of nodes. The approach also involves segmenting the vehicle path network into a plurality of linear features. Each linear feature of the plurality of linear features connects two nodes of the plurality of nodes in the vehicle path network. The approach further involves using a path-based map matcher to separately match each linear feature by incorporating context of the vehicle path network to a map topology of a digital map to generate map matching results. The approach further involves aggregating the map matching results of each linear feature into an overall map matching result for the directed graph, and providing the overall map matching result as an output.

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An approach is provided for creating a road geometry representation (e.g., a base map with double digitized roads representing actual travel paths and connectivity). The approach involves, for example, retrieving probe data collected from sensors of probe devices traveling within a geographic area including at least one geographic partition. The approach also involves dividing each of the at least one geographic partition into grid cells. The approach further involves detecting directional groupings of the probe data for each grid cell. The directional groupings comprise probes of the probe data that share a respective common travel direction. The approach further involves determining a density maxima location of the probes sharing the respective travel direction, for said each grid cell and each directional grouping. The approach further involves creating a continuous road path based on the density maxima locations for the grid cells. The approach further involves including the continuous road path in an output representing a base map of the geographic area.

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An apparatus autonomously operates at least one system of a vehicle as the vehicle navigates along a route through at least a portion of a traversable network in a sensor-based navigation mode. The apparatus obtains a map fragment corresponding to an area along the route; and, responsive to determining that the vehicle is located within the area, autonomously operates the at least one system of the vehicle as the vehicle navigates a portion of the route within the area in a map-based navigation mode using map data of the map fragment. Responsive to determining that the vehicle has exited the area, the apparatus autonomously operates the at least one system of the vehicle as the vehicle continues to navigate along the route in the sensor-based navigation mode. The map fragment is a portion of a high definition map configured to enable map-based autonomous vehicle navigation/control.

A method, apparatus, and computer program product are provided for establishing and applying a second level of anonymization of trajectories to improve privacy. Methods may include: receiving anonymized mobility data for a geographic region subdivided into a plurality of map tiles, where the mobility data includes a plurality of probe data points anonymized with a first anonymization level, where sequences of probe data points define trajectories; determining, based on the anonymized mobility data, one or more map tiles of the plurality of map tiles where anonymization of trajectories using the first anonymization level fails to satisfy a predefined anonymity parameter value; removing a subset of the anonymized mobility data corresponding to the one or more map tiles; and publishing the anonymized mobility data without the subset of the mobility data corresponding to the one or more map tiles for use with one or more location-based services.

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An approach is provided for map-based dynamic location sampling. The approach, for instance, involves calculating an estimated time of arrival at an end node of a road segment from a beginning node of the road segment based on historical traversal time data for the road segment. The approach also involves determining a sampling rate for a location sensor of a vehicle traveling the road segment based on the estimated time of arrival. The approach further involves configuring the location sensor to collect location data using the sampling rate.

An approach is provided for enabling remote use of a vehicle's computational resources via wireless network data connection(s). The approach involves, for example, determining, by one or more processors, location data associated with a mobile computing system. The approach also involves processing, by the one or more processors, the location data to determine a transmission availability schedule for transmission of data to and/or from the mobile computing system via one or more wireless network connections. The approach further involves generating, by the one or more processors, a processing availability schedule for the mobile computing system based at least on the transmission availability schedule. The processing availability schedule indicates when a computational resource of the mobile computing system is available for a remote use that is initiated over the one or more wireless network connections. The approach further involves providing, by the one or more processors, the processing availability schedule as an output.

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