A method for providing a high-resolution digital map includes locating a device and providing sensor data at a located position during a test drive of the located device. The method further includes ascertaining detection indicators for at least one object detected based on the provided sensor data at the located position, and adding at least one additional layer to the high-resolution digital map. The at least one additional layer includes the ascertained detection indicators for the at least one detected object.

A method is provided for integrally specifying a geographic location and an indoor location within a building. When the coordinates of one point on the Earth are given as a geodetic latitude φ, a longitude λ, and an ellipsoidal height h in a geodetic coordinate system based on the Earth ellipsoid, the location of the point is represented with a new coordinates including a Northing N, an Easting E, and selectively a floor representing integer F. The Northing N is given as a linear function of the distance measured along the prime meridian from the latitude-longitude origin to the waypoint, and the Easting is given as a linear function of the distance measured along the parallel of latitude from the waypoint to the ellipsoidal point.

A driving control method comprises: acquiring a destination of a vehicle; referring to a first map that includes identification information of a travel lane and a second map that does not include the identification information of the travel lane; calculating a route from a current position of the vehicle to the destination; when traveling along a first route included in the route and belonging to the first map, setting first driving control, while when traveling along a second route included in the route and belonging to the second map, setting second driving control with a lower level of autonomous driving than that of the first driving control; and creating a driving plan for the vehicle to travel along the route with contents of the set driving control. A driving control apparatus is based on the method.

Systems, methods, tangible non-transitory computer-readable media, and devices for operating an autonomous vehicle are provided. For example, a vehicle computing system can receive sensor data including information based on sensor outputs associated with detection of objects in an environment by sensors of a vehicle. Inflection points can be determined based at least in part on the sensor data. The inflection points can correspond to portions of the objects that occlude detection of the environment beyond the portions of the objects. A set of polar coordinates can be determined for each of the one or more inflection points. The set of polar coordinates can include a distance from the sensors to a portion of the objects and an angle of the sensor with respect to the portion of the objects. Furthermore, sparse map data including the set of polar coordinates can be generated based on the set of polar coordinates.

A method includes the steps of: receiving a three-dimensional model of an underground tunnel; identifying floor points among points of the three-dimensional model; extracting the floor points; and applying at least a part of the extracted floor points as a floor model of the tunnel for positioning or route planning of a mobile object in the underground tunnel.

A computer is programmed to allocate respective connectivity quality data of a geographic area to a first map or a second map. The computer is further programmed to assign one of a plurality of subsets of the first map and one of a plurality of subsets of the second map to a first vehicle, identify respective locations of the first and second vehicles and one of the first or second maps that includes the locations of the first and second vehicles. The computer is further programmed to send, to the first and second vehicles, a map dataset that is a result of applying an XOR function to (1) the subset of the identified map that includes the location of the first vehicle assigned to the first vehicle and (2) the subset of the identified map that includes the location of the second vehicle assigned to the second vehicle.

Aspects of the disclosure provide for the generation of a service area map for autonomous vehicles. For instance, graph nodes of a road network may be iterated through in order to identify a set of reachable graph nodes based on a set of routing parameters that define driving limits for the autonomous vehicles. The road network may include the graph nodes as well as edges connecting ones of the graph nodes. A set of S2 cells may be identified based on the set of reachable graph nodes. Vertices of each S2 cell of the set of S2 cells may be determined based on whether each S2 cell of the set of S2 cells is occupied by any of the graph nodes of the set of reachable graph nodes. Contours through cells may be drawn based on the scores. The service area map may be generated using the contours.

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 system may be configured to conflate vectorized source data. Some embodiments may: obtain first data from a first source and second data from a second source; determine a first polygon that encloses all features of the first data and a second polygon that encloses all features of the second data; determine a larger polygon that encloses the first and second polygons; divide the larger polygon into first tiles; extract, from each of the first tiles overlaying the first data and from the each tile overlaying the second data, a first set of features and a second set of features, respectively; and identify, based on a computed disagreement level satisfying a set of criteria, each of one or more of the tiles. A set of identified tiles or all of the tiles may then be displayed, including shaded indicators overlaying features of respective portions of the first and second data.

A social networking system may generate a region of an interactive map and determine a zoom level at which the interactive map is being presented. The social networking system may then determine a first defined geographic region based at least in part on the region being displayed and the zoom level at which the interactive map is being displayed. A quantity of content items that exists that are associated with the first define geographic region can be determined by the system. The social networking system may then present, based at least in part on the quantity, a visual representation on the interactive map of one or more content items associated with at least one of the first defined geographic region or a second defined geographic region that encompasses the first defined geographic region.