A method of generating a roadway map includes receiving an image of a roadway. The method further includes performing a spectral analysis of the received image to determine reflectivity data for a plurality of wavelengths of light. The method further includes identifying a feature of the roadway in response to the determined reflectivity data exhibiting a reflection peak. The method further includes classifying the identified feature based on a size or a pitch of the exhibited reflection peak. The method further includes generating the roadway map based on the classification of the identified feature.

An apparatus and a method allowing a pilot or more generally a crew to enrich a database of user obstacles directly inside the aircraft, on the ground and even during flight. Generally, the apparatus is based on a new software component, which allows new services to be provided for the functional avionic components and for the human machine interfaces HMI of the avionics. This new software component is configured to allow: user obstacles to be created, changed, deleted at the request of components of HMIs of the avionics; user obstacles to be sent to clients of the services of this new software component, which are either other functional components of the avionics or other components of HMIs of the avionics; user obstacles to be recorded to a nonvolatile memory and restored from this nonvolatile memory.

A data processing method includes initiating, to a cloud server, a first message used to access a roadside device or used to obtain signal transmit power-related information of static roadside equipment, receiving a second message fed back by the cloud server, where the second message is determined by the cloud server based on the first message and a prestored high-definition map, and the second message includes related information about accessing the roadside device by the vehicle-end device, or the signal transmit power-related information of the static roadside equipment, and accessing the roadside device based on the second message or determining a signal transmit power of the vehicle-end device based on the second message.

A control method and control system of a mobile device perform a route guidance and POI guidance using a POI database for a commercial navigation and a POI database for AR, and enable seamless transition between commercial navigation services and AR services by removing the dependency of data through data exchange between the POI database for commercial navigation and the POI database for AR. The control method includes receiving a selection of destination; executing one of a first route guidance mode based on non-AR and a second route guidance mode based on AR, based on the selected destination; and providing a route guidance service based on AR by switching from the first route guidance mode to the second route guidance mode, in response to that a remaining distance or remaining time from a location of the mobile device to the selected destination approaches within a predetermined distance or predetermined time.

Systems and methods for selecting a navigation map for utilization in a region are provided. For example, a method includes determining, for one or more areas, a plurality of scores corresponding respectively to a plurality of digital maps. The method further includes selecting a digital map of the plurality of digital maps based on a value of a score of the plurality of scores. The method further includes providing the selected digital map to a device to utilize one or more navigation functions in a location within the one or more areas.

A system and method for translating route guidance between a navigation system and a navigation service when different versions of a map database are being used. The navigation service applies a version translation table to identify differences between the map databases and translates route guidance accordingly before it is communicated to the navigation system.

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.

A mobile apparatus receives a route response including information identifying a starting location and a target location of a route and an encoding data structure encoding the route. The encoding data structure is a probabilistic data structure configured to not provide false negatives. The mobile apparatus uses the information identifying the starting and target locations to identify a decoded origin traversable map element (TME) and a decoded target TME of the mobile version of the digital map for the route; accesses map information for determining a cost value for TMEs of the digital map, wherein a TME that satisfies the encoding data structure is assigned a minimal cost value; determines a decoded route from the decoded starting TME to the decoded target TME based on the cost value assigned to the TMEs using a cost minimization route determination algorithm; and performs at least one navigation function using the decoded route.

Provided are a method, a server, and a computer program for creating a road network map to design a driving plan for an autonomous driving vehicle. A method of creating a road network map to design a driving plan for an autonomous driving vehicle is performed by a computing device and includes: generating road network data for an area; generating lattice road network data for a short-term driving plan for an autonomous driving vehicle using the generated road network data; and generating a crossable dipole graph for a long-term driving plan for the autonomous driving vehicle using the generated lattice road network data.

Methods and systems are described that enable world geodetic system (WGS) to cartesian coordinate conversion for driving. A path of a vehicle comprising lane-group segments (LGSs) is received. The LGSs comprise respective origins in WGS coordinates, respective path points in WGS coordinates; and respective groups of constants. For a first of the LGSs, global cartesian path coordinates are calculated, based on modified Bowring techniques, for the path points of the first LGS. The coordinates are calculated using the constants of the first LGS and respective differences between the path points of the first LGS and an origin of the first LGS. The vehicle can navigate along the path using the global cartesian path coordinates calculated for the first LGS. By using modified Bowring techniques and pre-calculated constants for each LGS of the path, accuracy can be maintained over long distances and across boundaries without requiring substantial computational overhead.