Abstract: Methods, systems, apparatuses, and computer program products for multi-objective mission planning and execution for an unmanned aerial vehicle (UAV) are disclosed. In a particular embodiment, multi-objective mission planning and execution for a UAV includes a computing device detecting a mode change event associated with a UAV executing a mission in a first mission mode. In this embodiment, the computing device determines, based on the mode change event, a second mission mode for the UAV and switches a current mission mode of the UAV from the first mission mode to the second mission mode.

Abstract: Methods, apparatuses, system, devices, and computer program products for updating airspace awareness for unmanned aerial vehicles are disclosed. In a particular embodiment, the classification of a detected object is identified based on sensor data collected by an in-flight unmanned aerial vehicle (UAV). The location of the object is determined based on the sensor data. An airspace awareness controller generates, in dependence upon the classification of the object and the location of the object, an airspace awareness update concerning the object.

Abstract: In a particular embodiment, recording data associated with an unmanned aerial vehicle (UAV) is disclosed that includes a blockchain manager receiving a transaction message associated with a UAV. The particular embodiment also includes the blockchain manager using the information within the transaction message to create a block of data. In this particular embodiment, the blockchain manager stores the created block of data in a blockchain data structure associated with the UAV.

Abstract: Flight path deconfliction among unmanned aerial vehicles is disclosed. Telemetry data received from an unmanned aerial vehicle (UAV) and air traffic data received from a server or other data sources are analyzed, using deconfliction circuitry, to determine whether a flight path conflict indicative of a potential collision exists. The deconfliction circuitry reroutes the flight path of the UAV to avoid the flight path conflict, and transmits, in dependence upon the rerouted flight path, navigation instructions to the UAV for avoiding the potential collision. The deconfliction circuitry includes hardware-implemented logic optimized for processing the navigation data.

Abstract: A particular method includes automatically generating, at a processor of a computing device, annotation data indicating that a column of a data table corresponds to a particular class of an ontology. The method also includes storing the annotation data. The method further includes receiving a natural language query. The method also includes generating a second query based on detecting a match between at least one term of the natural language query and the annotation data. The method further includes determining a response to the second query. The method also includes outputting the response to the second query as a response to the natural language query.

Abstract: Flight path deconfliction among unmanned aerial vehicles is disclosed. Telemetry data received from an unmanned aerial vehicle (UAV) and air traffic data received from a server or other data sources are analyzed, using deconfliction circuitry, to determine whether a flight path conflict indicative of a potential collision exists. The deconfliction circuitry reroutes the flight path of the UAV to avoid the flight path conflict, and transmits, in dependence upon the rerouted flight path, navigation instructions to the UAV for avoiding the potential collision. The deconfliction circuitry includes hardware-implemented logic optimized for processing the navigation data.

Abstract: A method includes obtaining route information at an unmanned aerial vehicle (UAV). The route information indicates a plurality of zones between an origin and a destination and a corresponding set of mobile devices for each zone. The method includes receiving first control data at the UAV from a first mobile device while in a first zone of the plurality of zones. The first mobile device is included in a first set of mobile devices corresponding to the first zone. The method further includes receiving second control data at the UAV from a second mobile device while in a second zone of the plurality of zones. The second mobile device is included in a second set of mobile devices corresponding to the second zone.

Abstract: In a particular embodiment, recording data associated with an unmanned aerial vehicle (UAV) is disclosed that includes a blockchain manager receiving a transaction message associated with a UAV. The particular embodiment also includes the blockchain manager using the information within the transaction message to create a block of data. In this particular embodiment, the blockchain manager stores the created block of data in a blockchain data structure associated with the UAV.

Abstract: Flight path deconfliction among unmanned aerial vehicles is disclosed. Telemetry data received from an unmanned aerial vehicle (UAV) and air traffic data received from a server or other data sources are analyzed, using deconfliction circuitry, to determine whether a flight path conflict indicative of a potential collision exists. The deconfliction circuitry reroutes the flight path of the UAV to avoid the flight path conflict, and transmits, in dependence upon the rerouted flight path, navigation instructions to the UAV for avoiding the potential collision. The deconfliction circuitry includes hardware-implemented logic optimized for processing the navigation data.

Abstract: Making a determination regarding consensus using proofs of altitude of unmanned aerial vehicles (UAVs), including: receiving a request for a consensus from a pool of Unmanned Aerial Vehicles (UAVs), wherein membership in the pool of UAVs is based on an altitude threshold; sending, to each UAV in the pool of UAVs, a transaction request associated with the request for the consensus; receiving, from each UAV in the pool of UAVs, a corresponding response of a plurality of responses to the transaction request; and generating, based on the plurality of responses, a determination for the consensus.

Abstract: A method includes obtaining route information at an unmanned aerial vehicle (UAV). The route information indicates a plurality of zones between an origin and a destination and a corresponding set of mobile devices for each zone. The method includes receiving first control data at the UAV from a first mobile device while in a first zone of the plurality of zones. The first mobile device is included in a first set of mobile devices corresponding to the first zone. The method further includes receiving second control data at the UAV from a second mobile device while in a second zone of the plurality of zones. The second mobile device is included in a second set of mobile devices corresponding to the second zone.

Abstract: In a particular embodiment, coordinating an aerial search among unmanned aerial vehicles is disclosed that includes receiving, by a server in a UAV transportation ecosystem, search area data, accessing, by the server, UAV parameters for a type of UAV, determining, by the server in dependence upon the search area data and the UAV parameters, a number of UAVs needed to complete a coordinated aerial search of a search area within a time limit, and partitioning, by the server, the search area into a plurality of partitions, wherein the number of partitions is equal to the number of UAVs.

Abstract: In a particular embodiment, blockchain-based hybrid authentication is disclosed that includes receiving, by a smart contract controller, an invocation of a smart contract and accessing, by the smart contract controller, one or more parameters associated with a client account. In this embodiment, the smart contract determines whether the one or more parameters fulfill the smart contract. In response to determining that the one or more parameters fulfill the smart contract, the smart contract provides an attestation of an identity associated with the client account.

Abstract: In a particular embodiment, monotonic partitioning in unmanned aerial vehicle (UAV) search and surveillance is disclosed that includes receiving, by server, a request for search route information, the request including a geographical search area, transforming the geographical search area into a plurality of monotonic partitions, determining, for each monotonic partition, a sweep search pattern for UAV navigation, and generating, in dependence upon the search patterns, search route information for one or more UAVs.

Abstract: In a particular embodiment, methods, systems, apparatuses, and computer program products for utilizing an unmanned aerial vehicle for emergency response are disclosed that include determining, by a UAV, a disinfection area; flying, by the UAV, over the determined disinfection area; and releasing, by the UAV, a disinfectant while flying over the determined disinfection area.

Abstract: Methods and devices for confirmation of successful delivery by an unmanned aerial vehicle (UAV) are disclosed. A UAV is configured to navigate to a delivery destination, authenticate a receiving zone at the delivery destination, release, in dependence upon authentication of the receiving zone, the package into the receiving zone, capture, by a camera of the UAV, an image of the receiving zone, and generate delivery confirmation data including the image the receiving zone. A recipient device is configured to detect, by the device disposed in a receiving zone for receiving a package, a UAV in proximity to a receiving zone, authenticate the UAV, detect delivery of the package in the receiving zone, capture, by a camera of the device, an image of the package, and generate delivery confirmation data including the image the package and location data obtained from a GPS sensor in the device.

Abstract: In a particular embodiment, decentralized oracles in an unmanned aerial vehicle (UAV) transportation ecosystem includes: receiving, by an oracle node of a plurality of oracle nodes, from a validating node of a plurality of validating nodes of a UAV transportation ecosystem, a request for data for fulfillment of a smart contract, wherein the plurality of oracle nodes are communicatively coupled via an overlay network implemented using a network communicatively coupling the plurality of validating nodes; generating, based on responses to the request from the plurality of oracle nodes, the data for fulfillment of the smart contract; and providing the data for fulfillment of the smart contract.

Abstract: A method includes performing, by a computing device, a clustering operation to group documents of a document corpus into clusters in a feature vector space. The document corpus includes one or more labeled documents and one or more unlabeled documents. Each of the one or more labeled documents is assigned to a corresponding class in classification data associated with the document corpus, and each of the one or more unlabeled document is not assigned to any class in the classification data. The method also includes generating, by the computing device, a prompt requesting classification of a particular document of the document corpus, where the particular document is selected based on a distance between the particular document and a labeled document of the one or more labeled documents.

Abstract: Methods, systems, apparatuses, and computer program products for utilizing visualization for managing an unmanned aerial vehicle (UAV) are disclosed. In a particular embodiment, utilizing visualization for managing a UAV includes providing to a user, by a management controller, a visualization that displays an environment and representations of one or more UAVs associated with a user; receiving from the user, by the management controller, data indicating the user applying one or more management controls within the visualization; and in response to receiving the data indicating the user applying the one or more management controls within the visualization, initiating, by the management controller, an event that modifies the one or more UAVs.

Abstract: A device includes communication circuitry configured to receive a message indicating an observation of an agent device. The device further includes a processor coupled to the communication circuitry and a memory. The memory stores instructions that are executable by the processor to cause the processor to perform operations. The operations include accessing a blockchain data structure. The blockchain data structure includes one or more blocks including data descriptive of observations of a plurality of agent devices, where the plurality of agent devices including the agent device. The operations also include determining, based on one or more blocks of the blockchain data structure, a behavior of the agent device. The operations also include determine whether the behavior satisfies a behavior criterion associated with the agent device.