Systems and methods for public transport infrastructure facilitated drone delivery are provided. In example embodiments, a request to deliver a package to a drop-off destination using a drone is received. Public infrastructure information is accessed. A public infrastructure terminal from which the drone delivers the package is identified based on the public infrastructure information. An instruction is communicated to transport the package to the identified public. A drone delivery route from the identified public infrastructure terminal to the drop-off destination is determined based on the public infrastructure information. An instruction to deliver the package using the drone delivery route is communicated to the drone.

A method for multimodal transportation based on an air vehicle may include confirming, by a transportation management server, freight transfer approval information provided by a freight transfer object that approaches a take-off and landing facility, setting a freight stop zone in response to a demand for freight handling of the freight transfer object, and processing freight loading or unloading of the freight transfer object based on freight information corresponding to the freight transfer object.

A mission control may receive, from a yard management system (YMS), a move request identifying a destination spot in a yard and one or more of a trailer identifier of a trailer to be moved, a pick-up spot of the trailer, and a trailer type. Mission control determines whether the move request is feasible for an autonomous vehicle (AV). When the move request is feasible, mission control generates a mission defining directives to control the AV to move the trailer from the pick-up spot to the destination spot and sets, via an application programming interface (API) of the YMS, a status of the move request to indicate autonomous move is scheduled.

A delivery system, including a robot and an application of a communication device. The robot includes a tangible, non-transitory, machine readable medium storing instructions that when executed by the processor effectuates operations including: receiving, with the processor, a first location to deliver the one or more items to; obtaining, with the processor, first data of an environment captured by a camera disposed on the robot; detecting, with the processor, at least one object in the environment based on at least the first data; actuating, with the processor, the robot to drive around the at least one object; and actuating, with the processor, the robot to transport the one or more items to the first location while avoiding collision with objects detected in the environment.

Techniques for asset tracking. A method includes identifying a starting point event based on an asset carrier interacting with an asset at a starting point location. An ending point event is identified. The ending point event is detected based on an ending point event activity of the asset carrier around an ending point location. The asset is identified with respect to the starting and ending point events. A path of the asset between the starting and ending point locations is determined based on locations occupied by the asset carrier between the starting point event and the ending point event. The path includes multiple locations of the asset at different times and the locations occupied by the asset carrier between the starting point event and the ending point event correspond to respective times. Locations of the assets at any of the different times may be determined based on the path.

In some embodiments, a computer-implemented method for managing resources of a fleet of unmanned aerial vehicles (UAVs) is provided. A computing system creates a mission record and one or more candidate records. Each candidate record of the one or more candidate records represents one or more resources for accomplishing a mission represented by the mission record. The computing system adds a mission node representing the mission record to a resource competition network graph (RCN graph). The computing system adds one or more candidate nodes representing the one or more candidate records to the RCN graph. The computing system determines an optimized allocation of candidate records to mission records using at least a subgraph of the RCN graph. A candidate record is determined to commit to a mission record, and the computing system updates the RCN graph to commit the candidate record to the mission record.

A computer system comprising processing circuitry is disclosed. The processing circuitry is configured to obtain sensing data from a sensor monitoring a cargo space of a vehicle; determine, based on the sensing data, that at least a portion of a cargo in the cargo space is moved a threshold distance of the cargo space during operation of the vehicle; determine at least one preventive action to be carried out by the vehicle to prevent further movement of the cargo with respect to the threshold distance, the at least one preventive action comprising a driving route; and control the vehicle to at least partially carry out the at least one preventive action.

A moving object operation management device for managing the operation of moving objects that move in a passage provided in an area and perform work at a specific place. When the work of a certain moving object hinders the movement of another moving object in a passage, the exclusive section and the exclusive section for one of the two moving objects are adjacent to each other, and when the movement of the shortest path to the next destination is hindered by the other exclusive section, the first operation instruction for moving one to the next exclusive section and after the exclusive section of the other section is released. And a second operation instruction to move the one moving object to the next destination by the shortest path, by comparing the arrival time to the one of the next destination in accordance with the instructions, configured to selectively emit.

An information generation method is an information output method executed by a mobile retail vehicle control device (information output device) and includes obtaining first information about a first time at which a first mobile object arrives at a first arrival point (first point); determining, based on the first information, a second point from which a second mobile object can arrive at the first arrival point at a second time within a predetermined period from the first time; and outputting instruction information for moving the second mobile object to the second point.

An unmanned aerial vehicle includes: a mooring member capable of mooring an article; a linear member connected to the mooring member; a reel around which the linear member is wound. The unmanned aerial vehicle acquires information relating to wind strength around the article when the article is to be lowered from the unmanned aerial vehicle by controlling the reel; and controls the reel so as to provide a feeding amount of the linear member in dependence on the wind strength, on the basis of the acquired information.