A method for mapping and referencing physical geographic addresses, of a planet, to a dynamically linked identifier, said method comprising: virtually mapping said planet into geographically defined units (“geotiles”); storing data pertaining to each geotile; fetching spatial co-ordinates for each mapped geotile, tagging these spatial co-ordinates to each and every divided mapped geotile; generating an identifier (“owner-identifier”) concerning user-selected geotiles specific to a user to enable a user to generate owner identity concerning said owner-identifier, said owner-identifiers being shareable by its associated user (“owner-user”) only upon being authenticated; generating dynamic links between said owner-identifiers with any number of user-selected geotiles; associating a geotile or a set of geotiles to reside either on a public blockchain or on a private blockchain; associating a user-identifier with user-selected rich data; and displaying, a set of user-selected geotiles along with its associated rich data, upon inputting said owner-identifier.

Various aspects are related to a map representation system including one or more processors configured to: obtain operation task data, the operation task data indicating one or more operation tasks associated with an operation of one or more autonomous agents within a corresponding operating space; and obtain operation task specific map data as a function of the operation task data, the operation task specific map data representing the operating space corresponding to the one or more operation tasks.

Examples of the present disclosure relate to methods for performing object detection. In one such example, data representing an image is received. The image comprises at least one target region and a further region. The at least one target region is identifiable using data indicative of a gaze direction of a viewer of the image. A first portion of the data is processed using a first processing scheme to perform object detection in the at least one target region of the image. The first portion of the data represents the at least one target region of the image. A second portion of the data is processed using a second, different, processing scheme. The second portion of the data represents the further region of the image.

In a vehicle remote instruction system, a remote commander issues a remote instruction relating to travel of an autonomous driving vehicle based on sensor information from an external sensor that detects an external environment of the autonomous driving vehicle. The vehicle remote instruction system sets a range of information to be transmitted to the remote commander among the sensor information detected by the external sensor, as a limited information range, based on the external situation or an external situation obtained based on map information and a trajectory of the autonomous driving vehicle.

A vehicle remote instruction system that includes a remote autonomous driving vehicle and a remote instruction apparatus in which the remote commander issues the remote instruction includes: a remote instruction request reception unit configured to receive the remote instruction request; a position information acquisition unit configured to acquire position information on a location where the remote autonomous driving vehicle transmitted the remote instruction request; a request occurring location determination unit configured to determine a location where the remote instruction request is transmitted at equal to or higher frequency than an instruction request frequency set in advance, based on the acquired remote instruction request and the position information; and a passing-detour location setting unit configured to set the location where the remote instruction request is transmitted at equal to or higher frequency than the instruction request frequency, as a passing-detour location for the remote autonomous driving vehicle.

A system for generating a map with spots. The system includes processors and storage devices storing instructions that, when executed, configure the processors to perform operations. The operations may include receiving a map request of a venue, the map request comprising first location data associated with the venue, and transmitting a map data file for the venue, the map data file comprising a presentation of a plurality of spots in the venue and the spots being associated with confidence levels. The operations may also include receiving an add-spot request, the add-spot including data of an additional spot to be added, second location data associated with the additional spot, and verification data. The operations may also include determining a confidence level for the additional spot, modifying the map data file to include a representation of the additional spot, and transmitting the modified map data file.

Embodiments of this application disclose a map rendering method performed at a terminal. The method includes: transmitting a block request to a native map module of the terminal through a three-dimensional display engine, the block request carrying a block identifier corresponding to a target field of view area; obtaining a block data address based on the block identifier through the native map module, and transmitting the block data address to the three-dimensional display engine; obtaining block data in the target field of view area based on the block data address through the three-dimensional display engine; invoking a target map interface through the native map module, to parse the block data, and generating map mesh data based on data obtained through parsing, the map mesh data including road data and building data; and performing map rendering based on the road data and the building data in the map mesh data.

A route generation device and a travel control device for suppressing a target route of a vehicle to be discontinuous before and after starting a lane change are obtained. A position obtaining unit obtains location information of the vehicle. A first route extraction unit extracts the target route as first points in sequence assuming that the vehicle continues to travel in the lane in which the vehicle is traveling before starting the lane change. The second route extraction unit extracts the target route a target route as second points in sequence assuming that the vehicle is currently traveling in an adjacent lane in which the vehicle travels after completing the lane change, and the vehicle continues to travel in the adjacent lane. The route calculation unit calculates the third points representing the target route.

A control unit for a vehicle is configured to detect a signalling installation ahead, wherein the signalling installation has at least one signal transmitter. The control unit is configured to ascertain digital map information indicating and/or allowing an association between the at least one signal transmitter and at least one possible direction of travel of the vehicle at the signalling installation. The control unit is further configured to operate a driving function of the vehicle on the basis of the digital map information.

A method, system, and computer program product is provided, for example, for matching a geospatial message to one or more static objects on a link. The method may include identifying a location of an observation point for observing the one or more static objects from a vehicle on the link. The method may further include applying spatial filtering criteria to each of the one or more static objects based on an observable distance of each of the one or more static objects from the location of the observation point to filter the one or more static objects. The filtering of the one or more static objects may provide one or more filtered static objects. The method may further include calculating a heading of the vehicle and further using the heading of the vehicle for applying a heading filtering criteria to the one or more filtered static objects based on the heading of the vehicle and a pre-computed heading of each of the one or more filtered static objects to provide one or more candidate objects. Additionally, the method may include applying a distance filtering criteria to each of the one or more candidate objects to provide one or more remaining objects. Finally, the method may include matching the geospatial message to at least one of the one or more remaining objects based on the distance filtering criteria.