A processing device and an information processing system included in a network can select a device to be connected. A processing device includes a controller and a communicator. Software includes a first implementation program to cause the controller to implement a predetermined function. First use-data is used to execute the first implementation program. The controller included in a logical network connects with, of other processing devices with each of which the controller can communicate, a processing device that implements, based on a second implementation program or second use-data, the same function as the function implemented when the first implementation program is executed.

A server device stores on a storage unit an advanced map database which includes feature information associated with a feature. The server device receives, from vehicle mounted devices equipped with external sensors which measure features, difference information indicative of a difference between feature information and the actual feature corresponding to the feature information. In accordance with the degree of reliability which is calculated based on a plurality of the difference information, the server device sends to the vehicle mounted device a raw data request signal for requesting the transmission of raw data which is measurement data of the actual feature.

Provided herein is a method of generating and communicating map version agnostic road link identifiers. Methods may include: receiving an indication of a new road link being joined to an existing road link along a length of the existing road link, where the existing road link extends between a first node and a second node, where the existing road link has a first road link identifier, and where a new node is formed where the new road link joins the existing road link; generating a first new identifier for a segment of the existing road link between the first node and the new node; generating a second new identifier for a segment of the existing road link between the new node and the second node, where the second new identifier is set equal to an XOR function of the first road link identifier and the first new identifier.

An apparatus for updating a map includes one or more processors configured to: receive feature data from a vehicle traveling on a predetermined road section for a feature in the road section related to travel of vehicles via a communication circuit, the feature data indicating the position of the feature, measure the accuracy of the position of the feature indicated by feature data obtained by the vehicle, based on the difference between the position of the feature indicated by the received feature data and a reference position of a corresponding feature, determine whether the accuracy satisfies a predetermined accuracy condition, and set contribution of the feature data received from the vehicle to update of map information indicating the position of the feature. The contribution is set lower when the accuracy does not satisfy the accuracy condition than when the accuracy satisfies the accuracy condition.

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.

The present disclosure generally relates to a methods and systems for compensating for changes in the absolute position of locations with respect to the Earth's surface which occur over time due to crustal dynamics. The invention is particularly, although not exclusively, concerned with such compensation in the context of methods using digital map data, for example, methods of localization of a vehicle.

Embodiments of the present disclosure provide a map updating method and apparatus, a device, a server, and a storage medium, which relate to the field of artificial intelligence, and in particular, to the field of autonomous parking. The specific implementation solution is: an intelligent vehicle obtains driving data collected by a vehicle sensor of its own vehicle on a target road section, where the driving data at least includes first video data related to an environment of the target road section, and determines at least one image feature corresponding to each first image frame in the first video data, where the image feature at least includes an image local feature related to the environment of the target road section, and then updates map data corresponding to the target road section according to the at least one image feature corresponding to each first image frame in the first video data.

A system may automatically create training datasets for training a segmentation model to recognize features such as lanes on a road. The system may receive sensor data representative of a portion of an environment and map data from a map data store including existing map data for the portion of the environment that includes features present in that portion of the environment. The system may project or overlay the features onto the sensor data to create training datasets for training the segmentation model, which may be a neural network. The training datasets may be communicated to the segmentation model to train the segmentation model to segment data associated with similar features present in different sensor data. The trained segmentation model may be used to update the map data store, and may be used to segment sensor data obtained from other portions of the environment, such as portions not previously mapped.

Disclosed are a map construction method, a robot, and a storage medium. A center of a lidar of a mapping robot is taken as a starting point, and a radar probe is arranged according to a preset distance; the radar probe is configured to determine a reference point cloud; the lidar of the mapping robot is controlled to scan the target environment to obtain scanning data; the target environment includes a wall and an obstacle; according to the scanning data, a virtual wall corresponding to the wall is determined; according to the scanning data, the reference point cloud determined by the radar probe is fitted to update the virtual wall to obtain an updated virtual wall; a target map including the updated virtual wall is generated.

Aspects concern a method for correcting errors in map data comprising obtaining map data specifying travel possibilities between locations, generating a routing graph from the map data by assigning a vertex to each location and an edge from one vertex to another vertex if the map data specifies that it is possible to travel from the location to which the first vertex is assigned to the location to which the second vertex is assigned, identifying the largest strongly connected component of the routing graph, identifying one or more further strongly connected components of the routing graph, detecting errors in the map data by identifying travel possibilities that are not in the map data which lead to missing connections between the one or more further strongly connected components of the routing graph and the largest strongly connected component of the routing graph and amending the map data by the identified travel possibilities.