Abstract: A computer-implemented method includes: receiving, by a computing device, input data for identifying one or more landing site candidates for an aerial vehicle. The input data includes a set of criteria, terrain information, and obstacle information. The method further includes identifying, by the computing device, the one or more landing site candidates based on the input data and the criteria; providing, by the computing device, information regarding the identified one or more landing site candidates.

Abstract: A method for flight data object realization includes storing a graph database that defines nodes populated with properties, receiving relationships among data items stored in data stores, transforming the relationships into edges in the graph database, receiving a query to create the flight data object, accessing the graph database, extracting particular properties from the graph database in response to the query, fetching from the data stores particular data items in response to the particular properties, generating the flight data object with the particular data items, creating a visual presentation of the flight data object, and presenting the flight data object.

Abstract: The present disclosure generates a digital twin of the interior of a vehicle to initiate and track maintenance issues. In one aspect, the digital twin is formed using multiple captured images of the interior of the vehicle where multiple components in those images are identified using a machine learning (ML) model. The components identified by the ML model are then mapped to a model (e.g., a 3D model) of the components that lists their location in the vehicle and an identifier (e.g., a part number or serial number). In this manner, the digital twin can identify, using the identifiers, the various components in the images captured by a camera.

Abstract: A system for consumer goods management includes at least one sensor and at least one processor. The at least one sensor is configured to identify consumables and provide tracking information corresponding to the consumables. The at least one processor configured to acquire consumption information for a trip to be performed; determine a meal plan based on the consumption information, the meal plan specifying a plurality of types of consumables, quantities of the types of consumables, and a storage arrangement of the types of consumables; and acquire the tracking information from the at least one sensor to implement the meal plan.

Abstract: A computer-implemented method includes: receiving, by a computing device, input data for identifying one or more landing site candidates for an aerial vehicle. The input data includes a set of criteria, terrain information, and obstacle information. The method further includes identifying, by the computing device, the one or more landing site candidates based on the input data and the criteria; providing, by the computing device, information regarding the identified one or more landing site candidates.

Abstract: A system for consumer goods management includes at least one sensor and at least one processor. The at least one sensor is configured to identify consumables and provide tracking information corresponding to the consumables. The at least one processor configured to acquire consumption information for a trip to be performed; determine a meal plan based on the consumption information, the meal plan specifying a plurality of types of consumables, quantities of the types of consumables, and a storage arrangement of the types of consumables; and acquire the tracking information from the at least one sensor to implement the meal plan.

Abstract: A method and apparatus for predicting fuel for an aircraft. Remaining amounts of fuel that will be present for types of fuel use for the aircraft at a destination are predicted. Flight times for the types of fuel use are calculated from the remaining amounts of fuel predicted for the types of fuel use for the aircraft at the destination. Graphical indicators are displayed indicating the types of fuel use and the flight times for the types of fuel use.

Abstract: A method and apparatus for predicting fuel for an aircraft. Remaining amounts of fuel that will be present for types of fuel use for the aircraft at a destination are predicted. Flight times for the types of fuel use are calculated from the remaining amounts of fuel predicted for the types of fuel use for the aircraft at the destination. Graphical indicators are displayed indicating the types of fuel use and the flight times for the types of fuel use.

Abstract: A system for determining an anchoring location of a marine vessel. The system includes a first computing device configured to capture location data of the marine vessel along a route of the marine vessel, and a second computing device. The second computing device including a memory area, a location component that determines location data of a marine vessel, and a processor. The processor is programmed to receive, from the first computing device, the location data of the marine vessel, determine, from the location data, a location along a route of the marine vessel that the marine vessel traveled a distance less than a maximum threshold distance over a predefined period of time, and identify the location along the route of the marine vessel that the marine vessel traveled a distance less than the anchoring threshold distance over the predefined period of time as an anchoring location.

Abstract: A system for determining an anchoring location of a marine vessel. The system includes a first computing device configured to capture location data of the marine vessel along a route of the marine vessel, and a second computing device. The second computing device including a memory area, a location component that determines location data of a marine vessel, and a processor. The processor is programmed to receive, from the first computing device, the location data of the marine vessel, determine, from the location data, a location along a route of the marine vessel that the marine vessel traveled a distance less than a maximum threshold distance over a predefined period of time, and identify the location along the route of the marine vessel that the marine vessel traveled a distance less than the anchoring threshold distance over the predefined period of time as an anchoring location.