A vehicle control device of the embodiments includes a recognizer, and a driving controller, in which the driving controller includes a lane change controller that changes lanes from a host vehicle traveling lane in which a host vehicle travels to an adjacent lane adjacent to the host vehicle traveling lane, the lane change controller includes a first operation of changing lanes according to a request from an occupant of the host vehicle and a second operation of changing lanes on the basis of a result of recognition, and, when changing lanes is stopped at the time of execution of the first operation, causes the host vehicle to continue traveling in the host vehicle traveling lane and prohibits a lane change by the second operation within a first period including a distance or time from a first time at which changing lanes is stopped.

Techniques for generating earthmoving flow vectors for assisting control of a construction machine are disclosed. A design elevation map of an earthmoving site may be obtained. The design elevation map may include a plurality of design elevation points of the earthmoving site. An actual elevation map of the earthmoving site may be obtained. The actual elevation map may include a plurality of actual elevation points of the earthmoving site. A dual-layer input graph may be formed based on the design elevation map and the actual elevation map. The dual-layer input graph may include a plurality of nodes related through a plurality of connections. A flow graph may be generated by solving the dual-layer input graph. The flow graph may include a set of flow vectors indicating movement of the earth within the earthmoving site.

A method for fusing road data to generate a map, includes: determining benchmark road data and at least one road data to be fused in a target road area; establishing, successively for each road data to be fused, a first road element association relationship between the first sub road data and the benchmark road data; establishing a second road element association relationship between the second sub road data and the benchmark road data according to the first road element association relationship; and fusing the benchmark road data and the road data to be fused according to the above association relationships to update the benchmark road data.

Embodiments described herein may provide a method for using vehicle sensor data to identify where road work exists within a road network. Methods may include: receiving probe data and sensor data from a plurality of probe apparatuses traveling along a sequence of road segments; identifying, from the sensor data, one or more indicators of a beginning of a road work area; identifying, from the sensor data, binary indicators of the presence of road work or a lack of presence of road work along the sequence of road segments; and determining, based on the one or more indicators of a beginning of a road work area and the binary indicators of the presence of road work or the lack of road work along the sequence of road segments, a probability of road work occurring along one or more road segments of the sequence of road segments.

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 discloses a vehicle control method and apparatus and a method and apparatus for acquiring a decision-making model. The vehicle control method, comprising: during travel of an unmanned vehicle, acquiring current external environment information and map information in real time; determining vehicle state information corresponding to the external environment information and map information acquired each time according to a decision-making model obtained by pre-training and reflecting correspondence relationship between the external environment information, map information and vehicle state information, and controlling a travel state of the unmanned vehicle according to the determined vehicle state information. Application of the solution of the present invention can improve security and reduce the workload.

Systems and methods for managing data. The methods comprise by a computing system: generating publication identifiers and version values for source data to be stored into a data warehouse; causing a plurality of fact tables in the data warehouse to be populated with the source data and the publication identifiers; causing a publication table in the data warehouse to be updated to include the publication identifiers and the version values so as to be respectively associated with resource names; receiving a query for information directed to the plurality of fact tables; retrieving the publication identifiers from the publication table, in response to the query; and obtaining source data from each said fact table of the plurality of fact tables that is associated with publication identifiers that are stored in both the fact table and the publication table.

A control system is configured to receive a first signal indicative of a current position of a vehicle and a second signal indicative of a desired path for the vehicle. The control system is configured to calculate a virtual path between the current position and a target position on the desired path and to output a third signal indicative of curvature command corresponding to an initial curvature of the virtual path to cause a steering control system of the vehicle to adjust a steering angle of the vehicle. The control is also configured to iteratively receive an updated current position, receive any updates to the desired path, calculate an updated target position, calculate an updated virtual path based on the updated current position and updated desired path, and output an updated curvature command corresponding to a respective initial curvature of the updated virtual path as the vehicle travels across a surface.

A transportation network is provided that utilizes autonomous vehicles (e.g., unmanned aerial vehicles) for identifying, acquiring, and transporting items between network locations without requiring human interaction. A travel path for an item through the transportation network may include a passing of the item from one autonomous vehicle to another or otherwise utilizing different autonomous vehicles for transporting the item along different path segments (e.g., between different network locations). Different possible travel paths through the transportation network may be evaluated, and a travel path for an item may be selected based on transportation factors such as travel time, cost, safety, etc., which may include consideration of information regarding current conditions (e.g., related to network congestion, inclement weather, etc.). Autonomous vehicles of different sizes, carrying capacities, travel ranges, travel speeds, etc. may be utilized for further improving the flexibility and efficiency of the system for transporting items.

A method is provided for calculating a position and/or orientation of a first object relative to a second object. The method includes receiving a first object initial absolute position. The method includes sensing, using a first IMUs, motion of the first object and generating sensed motion data of the first object. The method includes generating, using the controller, a motion signal representative of the motion of the first object. The method includes calculating, using the controller, a first object current absolute position using the motion signal and the first object initial absolute position. The method includes receiving, from the second object, a second object current absolute position calculated using a second IMUs associated with the second object. The method includes calculating a relative position and/or orientation of the first object relative to the second object using the first object current absolute position and the second object current absolute position.