[Problem]

To display the current location of a user appropriately on a deformed map.

[Means for Resolution]

An information processing device, comprising: a measuring unit for measuring location information for a current location; a mapping processing unit for converting the location information for the current location into first map coordinates in a first map, for a navigation application, that includes the current location, and for using a conversion table to convert the first map coordinates into second map coordinates in a second map wherein the first map has been abstracted; and a display controlling unit for displaying, on a display, the second map, on which has been placed, at the second map coordinates, a mark that indicates the current location, wherein: the second map coordinates in a second coordinate system with the same scale as the first coordinate system, provided in the second map, are recorded in the conversion table in correspondence with the first map coordinates of the first coordinate system that are provided in the first map.

Systems and methods of processing crowdsourced navigation information for use in autonomous vehicle navigation are disclosed. A method may include processing, by a mapping server, crowdsourced navigation information from a plurality of vehicles obtained by sensors coupled to the plurality of vehicles, wherein the navigation information describes road lanes of a road segment; collecting data about landmarks identified proximate to the road segment, the landmarking including a traffic sign; generating, by the mapping server, an autonomous vehicle map for the road segment, wherein the autonomous vehicle map includes a spline corresponding to a lane in the road segment and the landmarks identified proximate to the road segment; and distributing, by the mapping server, the autonomous vehicle map to an autonomous vehicle for use in autonomous navigation over the road segment.

Some embodiments provide a mapping application that displays a transit map including a group of transit lines. The mapping application receives a request to display a transit route in the transit map. The mapping application also, in response to the received request, displays the transit route by modifying portions of transit lines along the route to emphasize the portions of the transit lines while modifying other transit lines not along the route to de-emphasize the transit lines not along the route.

A POI (Point Of Interest) information updating device (1) includes an input unit (10) configured to input POI identification information for identifying a POI, an acquisition unit (11) configured to acquire event information on an event performed at a target POI identified by the POI identification information input by the input unit, a search unit (12) configured to search for similar event information similar to the event information acquired by the acquisition unit (11), and an updating unit (13) configured to update information on the target POI on the basis of information on a POI at which an event indicated by the similar event information searched for by the search unit (12) has been performed.

Systems and methods for generating motion forecast data for actors with respect to an autonomous vehicle and training a machine learned model for the same are disclosed. The computing system can include an object detection model and a graph neural network including a plurality of nodes and a plurality of edges. The computing system can be configured to input sensor data into the object detection model; receive object detection data describing the location of the plurality of the actors relative to the autonomous vehicle as an output of the object detection model; input the object detection data into the graph neural network; iteratively update a plurality of node states respectively associated with the plurality of nodes; and receive, as an output of the graph neural network, the motion forecast data with respect to the plurality of actors.

A processing apparatus is provided, to, for each candidate point-of-interest of at least one candidate point-of-interest identified for association with a road in a network of roads for determining a name for the road, generate first data indicative of a relationship relating to a distance between the candidate point-of-interest and a road segment of the road, generate second data indicative of a relationship between the road segment and a projection of the candidate point-of-interest in a direction of the road segment, and, if the first and second relationships satisfy a first and second conditions for association respectively, generate data indicative of the candidate point-of-interest being an associated point-of-interest, process data corresponding to the associated point-of-interest to extract name data indicative of a road name associated with the associated point-of-interest, and generate, based on the name data, data indicative of the name for the road.

A method, apparatus, and computer-readable medium for confirming a perceived position of a traffic light, by obtaining identifiers and results of a first perception of traffic lights associated with the identifiers, the results of the first perception including a first estimation of an ellipse encompassing each of the traffic lights, receiving results of a second perception of traffic lights associated with the identifiers, the results of the second perception including a second estimation of an ellipse encompassing each of the traffic lights, calculating, based on the first perception and the second perception, association parameters for each possible pair of estimated ellipses, selecting, based on the calculated association parameters for each possible pair of estimated ellipses, matching pairs of estimated ellipses, and fusing each matching pair of estimated ellipses.

A method and an apparatus for generating a high-precision map includes sampling road data for generating the high-precision map, and obtaining a sampling trajectory, wherein the sampling trajectory comprises sampling location points and road data corresponding to the sampling location points, obtaining a navigation map comprising first road elements, and generating a target high-precision map by associating the first road elements with the high-precision map based on the sampling trajectory.

Embodiments of the present disclosure relate to a method and apparatus for generating information. The method can include: acquiring first driving environment data of a target road segment; comparing the first driving environment data with pre-stored second driving environment data of the target road segment, and determining a difference between the first driving environment data and the second driving environment data; and generating, in response to determining the difference satisfying a preset condition, road abnormality information.

A method includes acquiring an image through a visual sensor during a movement of a mobile device. The method includes matching the image with key frames stored in a key frame database. The key frames are created based on two-dimensional coordinates of feature points included in a plurality of images previously acquired through the visual sensor. The method also includes computing a visual relative pose based on two-dimensional coordinates of matching feature points included in both of the image and the one or more key frames that have been matched with the image. The method also includes computing relevant information of the visual relative pose based on the two-dimensional coordinates of the matching feature points. The method further includes updating an absolute pose of the mobile device and a map based on the relevant information of the visual relative pose and relevant information of a dead reckoning based relative pose.