In some implementations, a method performed by data processing apparatuses includes receiving stored map data corresponding to a digital map, identifying a discrepancy between the digital map and a physical space which the digital map represents, updating the digital map to correct the identified discrepancy, storing the updated digital map, and optionally providing the updated digital may for presentation on a device display.

The present disclosure is directed to methods and systems for generating a geodetic datum. The geodetic datum can establish a coordinate system and/or a set of reference points that describe the respective locations of a portion or all of Earth and/or objects located thereon. In general, a computing system can generate the geodetic datum using various sensor data from one or more sources including: satellite imagery, aerial imagery, aerial light detection and ranging data (LIDAR), ground-level imagery, ground-level LIDAR, and/or other forms of sensor data. This data can be used as a reference dataset that can be combined with additional sensor data (e.g., a second dataset) to determine correspondences between overlapping areas represented in the datasets. Continuing this process for regions that collectively cover the Earth can be used to create a geodetic datum of the entire Earth, without using a mathematic abstraction of the Earth surface.

An aircrew automation system may comprise an actuation system and a computer system having a processor and one or more interfaces. The computer system can be communicatively coupled with a flight control system of an aircraft and configured to generate control commands based at least in part on flight situation data. The actuation system is operatively coupled with the computer system and comprises a robotic arm, a force sensor, and a controller. The robotic arm can be configured to engage a cockpit instrument among a plurality of cockpit instruments. The force sensor is operably coupled to the robotic arm and configured to measure a force when the robotic arm makes contact with the cockpit instrument. The controller is operably coupled with the robotic arm and the force sensor.

A server device efficiently acquires information of a surrounding area of a movable body for updating map information while suppressing communication load. Condition information indicating a condition of autonomous driving is received from a first movable body capable of autonomous driving based on a state of a surrounding area of the first movable body and a map, and a request for state information is transmitted to a second movable body capable of transmitting the state information indicating a state of a place where the first movable body has moved, and when the received condition information indicates that the autonomous driving has been possible, transmission of the request is prevented.

A method and apparatus for selecting a map from a plurality of maps having different resolutions for a moving object includes dynamically selecting an appropriate map from maps having different levels of details according to environment information, such that a minimum amount of required map is loaded, thereby effectively improving the data processing efficiency of vehicles.

In one embodiment, a method for generating a reference line for operating an autonomous driving vehicle includes determining a first ending reference point having a smallest curvature among a plurality of points within a first defined distance along a path, generating a first reference line based on a first initial reference point and the first ending reference point, determining a second ending reference point having a smallest curvature among a plurality of points within a second defined distance along the path, generating a second reference line based on the first and second ending reference points and an end section of the first reference line, connecting the first and second reference lines, and controlling the autonomous driving vehicle along the connected first reference line and the second reference line.

Methods and systems for controlling navigation of an autonomous vehicle for traversing a drivable area are disclosed. The methods include receiving information relating to a drivable area that includes a plurality of polygons, identifying a plurality of logical edges that form a boundary of the drivable area, sequentially and repeatedly analyzing concavities of each the plurality of logical edges until identification of a first logical edge that has a concavity greater than a threshold, creating a first logical segment of the boundary of the drivable area. This segmentation may be repeated until each of the plurality of logical edges has been classified. The method may include creating and adding (to a map) a data representation of the drivable area that comprises an indication of the plurality of logical segments, and adding the data representation to a road network map comprising the drivable area.

The present disclosure provides systems and methods that control the motion of an autonomous vehicle by rewarding or otherwise encouraging progress toward a goal, rather than simply rewarding distance travelled. In particular, the systems and methods of the present disclosure can project a candidate motion plan that describes a proposed motion path for the autonomous vehicle onto a nominal pathway to determine a projected distance associated with the candidate motion plan. The systems and methods of the present disclosure can use the projected distance to evaluate a reward function that provides a reward that is positively correlated to the magnitude of the projected distance. The motion of the vehicle can be controlled based on the reward value provided by the reward function. For example, the candidate motion plan can be selected for implementation or revised based at least in part on the determined reward value.

A position and orientation calculation method includes comparing a first image feature of first image information included in a plurality of environment maps with a second image feature of second image information acquired from a moving object or an imaging apparatus of the moving object, and specifying a calculation environment map to be used for calculating a position and orientation of the moving object or the imaging apparatus of the moving object, among the plurality of environment maps, based on a result of the comparison.

A computer-implemented method for controlling a vehicle comprises: receiving tracking data associated with a surrounding environment of the vehicle; detecting, based upon the tracking data, an object in the surrounding environment of the vehicle; determining a location of the object; determining, based on navigation assistance data, whether the location of the object is at least partially within a classified area in the surrounding environment; and configuring a control system of the vehicle to: initiate, based upon determining that the location of the object is not at least partially within the classified area, a first collision avoidance response procedure for responding to the object; and initiate, based upon determining that the location of the object is at least partially within the classified area, a second collision avoidance response procedure for responding to the object, the second collision avoidance response procedure different from the first collision avoidance response procedure.