In an automatic driving vehicle, traveling is continued in a case where a section in which a detailed map in which information required for automatic driving is recorded is not usable occurs during the traveling by the automatic driving. Automatic driving control means 100 for controlling automatic driving of a vehicle and map information holding means 601 for holding a detailed map including traveling lane information are provided. In a case where a section in which a detailed map newer than the detailed map held in the map information holding means 601 is not usable is in a traveling scheduled route, the automatic driving control means 100 continues to perform the automatic driving until a start point of the section is reached, using the detailed map held in the map information holding means 601.

A drone coordination device includes an acquisitor which acquires an action plan from an automated vehicle and a determinator which determines a flight plan of a drone including a section in which the drone will be mounted on the automated vehicle on the basis of the action plan acquired by the acquisitor.

In a number of illustrative variations, a method may include the steps of providing a vehicle that may include at least one sensor; providing at least one signage constructed and arranged to convey a known geolocation of the at least one signage to the at least one sensor; determining a detected geolocation of the vehicle via the at least one sensor; reading the known geolocation of the at least one signage; comparing the detected geolocation to the known geolocation; and identifying discrepancies between the detected geolocation and the known geolocation.

An in-vehicle device is mounted on a vehicle capable of automated driving, and comprises an incident detection processing unit which acquires vehicle information representing a control state of the vehicle, and detects an incident that occurred in the vehicle based on the vehicle information.

A system for mixed-reality interaction with a touch device may include a mixed-reality device including a sensor, a mapping device, a simulator, and a display and a touch device including an input device. The input device of the touch device and the sensor of the mixed-reality device may detect a human-touch-device interaction. The mapping device may calibrate, correlate, and map the human-touch-device interaction from a real-world environment to a mixed-reality environment. The input device of the touch device may receive an input based on the human-touch-device interaction. The simulator of the mixed-reality device may render a view of the human-touch-device interaction within the mixed-reality environment and a view of an action within the mixed-reality environment corresponding to the input determined based on the human-touch-device interaction. The display of the mixed-reality device may display the rendered views.

According to one aspect, an information processing apparatus includes: a terrain data processing unit which performs a terrain data process of calculating a terrain coordinate group based on terrain data in which a position and a shape of an object are represented by a plurality of nodes or are represented by a plurality of nodes and a link between the nodes; and a selection processing unit which selects nodes adjacent or close to each other, indicated by the terrain coordinate group calculated by the terrain data processing unit, and selects a node suitable to calculate a width of the object from other nodes based on a positional relationship between the selected nodes and the other nodes.

The present disclosure provides a route processing method and apparatus. The specific implementation includes: acquiring a vehicle driving route according to a standard definition map, where the vehicle driving route comprises multiple standard definition map road sections of the standard definition map; determining at least one first road section from the multiple standard definition map road sections according to a road section mapping relationship between the standard definition map and a high definition map, where each first road section has a unique corresponding target road section in the high definition map; determining the target road section corresponding to each first road section in the high definition map according to the road section mapping relationship; and determining a target driving route corresponding to the vehicle driving route in the high definition map according to the target road section corresponding to each first road section and the high definition map.

A virtual map providing device (100) dynamically changes, with respect to a driveway (201) on which one or more inbound vehicles (210) moving in an inbound direction and one or more outbound vehicles (210) moving in an outbound direction are to move, an inbound zone on which the one or more inbound vehicles are to move, and an outbound zone on which the one or more outbound vehicles are to move. Then, the virtual map providing device delivers change information data including information of a post-change inbound zone and information of a post-change outbound zone.

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 method for determining a map matching confidence includes detecting a trajectory; detecting network data containing a plurality of links of a network; detecting one or more data pairs, each of said one or more data pairs including a link from the plurality of links and a time window that captures at least one portion of the trajectory; determining, for each of the one or more data pairs, a map matching confidence for the link of the relevant data pair based on: determining a maximum a posteriori probability; or determining by using a modified forward algorithm, wherein the map matching confidence is designed to indicate a probability that the relevant link has been affected by the trajectory within the relevant time window.