A road network data processing method, an electronic device, and a storage medium are provided, and relates to the field of the intelligent transportation. The method includes: determining a target road surface in a road image, wherein the target road surface is a road surface matching a road line in first road network data, the road image is an image, for a road, obtained according to a satellite image, and the first road network data is original road network data of a basic base map of an electronic map; and adjusting the road line to a road surface corresponding to a road width of the target road surface, to obtain second road network data of the basic base map.

Disclosed are a method for generating a real-time relative map, an intelligent driving device, and a storage medium. The method includes following steps: determining a number of collected lane guiding lines based on GPS trajectory data and included in a lane guiding line list; if the lane guiding line list includes a plurality of collected lane guiding lines, sorting the plurality of collected lane guiding lines according to coordinate values, which are on a coordinate axis perpendicular to a traveling direction of a vehicle, of points having a same serial number on each of the collected guiding lines, and generating a real-time relative map based on at least the sorted collected lane guiding lines and a lane width.

A method is provided for the creation of parking lot geometry that can be used to provide guidance to a vehicle through the parking lot. Methods may include: generating a road network of a parking lot based on a plurality of probe data points; map matching the plurality of probe data points to road links of the parking lot; identifying parking lot accessor road links; identifying a building affinity link; identifying primary parking lot road links, where primary parking lot road links include at least one of a trajectory count, probe count, or average or median probe speed that is higher than a respective trajectory count, probe count, or average or median speed of non-primary parking lot road links; establishing a route from a parking lot accessor road link to the building affinity link; and providing for guidance of a vehicle along the route.

A vehicle control device controls automated driving of a vehicle and includes a processor configured to execute a program to acquire map information including information of lanes and reference information for identifying a position of the vehicle, determine a travel lane in which the vehicle is traveling in the map information based on the acquired reference information; determine lane candidates in which the vehicle is traveling in the map information based on the reference information when the travel lane has not been identified, and maintain a current control level of the automated driving when an event in which the control level needs to be changed does not occur in any one of the lane candidates and lower the control level when the event occurs in at least one of the lane candidates.

A map processing system includes a skeleton generating section configured to generate a skeleton that represents a road geometry based on a first map, a divided section data generating section configured to generate divided section data by dividing the skeleton at a division point, an offset value calculating section configured to calculate an offset value between the first map and a second map per section corresponding to the divided section data, and a map processing section configured to process the first map using the offset value.

System and methods are disclosed for providing efficient rendering of map data. Instead of providing a set of points that describe a geographic feature, e.g., systems and methods provide spline functions that allow a device to generate smooth and accurate overlays of the geographic feature on the fly without additional information, for example, when changing a zoom or scale level.

A hybrid approach for using reference frames is presented in which a series of anchor frames is used, effectively resetting a global frame upon a trigger event. With each new anchor frame, parameter values for lane boundary estimates (known as lane boundary states) can be recalculated with respect to the new anchor frame. Triggering events may a based on a length of time, distance traveled, and/or an uncertainty value.

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.

Systems and methods are provided for autonomous vehicle navigation. The systems and methods may map a lane mark, may map a directional arrow, selectively harvest road information based on data quality, map road segment free spaces, map traffic lights and determine traffic light relevancy, and map traffic lights and associated traffic light cycle times.

The present invention has an object to provide a technique capable of reducing the size of update data. A map information processing apparatus includes a data extractor that extracts a difference between a shape of a past road link and a shape of a current road link as update data for updating predetermined map information. The data extractor does not extract the difference as the update data in a case where one road link of the past road link and the current road link is included in a buffer region obtained by extending the shape of the other road link by a predetermined distance.