Abstract: A method includes receiving, at a server, first sensor data from a first vehicle. The method includes receiving, at the server, second sensor data from a second vehicle. The second sensor data includes condition data indicating a road condition. The method includes aggregating, at the server, a plurality of sensor readings to generate aggregated sensor data. The plurality of sensor readings include the first sensor data and the second sensor data. The method further includes transmitting a first message based on the aggregated sensor data to the first vehicle, wherein the first message causes the first vehicle to perform a first action, the first action comprising avoiding the road condition, displaying an indicator corresponding to the engine problem, displaying a booked route, or a combination thereof.

Abstract: In a particular embodiment, parallel deconfliction processing of unmanned aerial vehicles (UAVs) is disclosed that includes a UAV control system partitioning the airspace over a geographic region into a plurality of airspace regions. In this example embodiment, the UAV control system includes a plurality of deconfliction controllers. For each deconfliction controller in the plurality of deconfliction controllers, the UAV control system assigns to the deconfliction controller, one or more airspace regions of the plurality of airspace regions. The UAV control system also inputs, in parallel, flight path data for a plurality of unmanned aerial vehicles (UAVs) to the plurality of deconfliction controllers. This embodiment also includes processing, in parallel by the plurality of deconfliction controllers, the flight path data to identify a flight conflict between two or more UAVs. Each deconfliction controller outputs a deconfliction result for each airspace region.

Abstract: A caliper pig for detecting geometrical deformation of a pipeline is disclosed. The caliper pig includes a body and a first sensor arm assembly. The first sensor arm assembly includes a primary caliper sensor ring adapted to be mounted on the body. Further, the first sensor arm assembly includes a plurality of sensor arms adapted circumferentially distributed on the primary caliper sensor ring. Each of the plurality of sensor arms includes a sensing arm adapted to be in contact with an internal surface of the pipeline and a pair of magnets adapted to rotate along the sensing arm. Each of the plurality of sensor arms includes a sensing unit configured to detect a change in magnetic field based on the movement of the sensing arm. The sensing unit is configured to generate an output indicative of an angle of deflection of the sensing arm while traversing on the internal surface of the pipeline.

Abstract: Methods, systems, apparatuses, and computer program products for incentivizing UAV use are disclosed. In a particular embodiment, incentivizing UAV use includes UAV pilot recommendation by a computing system. In this embodiment, the computing system receives at least one parameter related to a prospective UAV mission and retrieves UAV flight records of a plurality of UAV pilots. According to this embodiment, the computing system recommends, based on the at least one parameter and the UAV flight records, at least one UAV pilot for the prospective UAV flight.

Abstract: Methods, systems, apparatuses, and computer program products for UAV module management are disclosed. In a particular embodiment, UAV module management includes software module library management by a computing system. In this embodiment, the computing system presents information representing a plurality of UAV software modules, receives information representing a UAV software module selection, and adds the UAV software module identified by the information representing a UAV software module selection to a UAV software module library. According to this embodiment, the computing system adds, based on a selection of a UAV software module, the selected UAV module to a UAV software module library.

Abstract: In a particular embodiment, parallel deconfliction processing of unmanned aerial vehicles (UAVs) is disclosed that includes a UAV control system partitioning the airspace over a geographic region into a plurality of airspace regions. In this example embodiment, the UAV control system includes a plurality of deconfliction controllers. For each deconfliction controller in the plurality of deconfliction controllers, the UAV control system assigns to the deconfliction controller, one or more airspace regions of the plurality of airspace regions. The UAV control system also inputs, in parallel, flight path data for a plurality of unmanned aerial vehicles (UAVs) to the plurality of deconfliction controllers. This embodiment also includes processing, in parallel by the plurality of deconfliction controllers, the flight path data to identify a flight conflict between two or more UAVs. Each deconfliction controller outputs a deconfliction result for each airspace region.

Abstract: Methods, systems, apparatuses, and computer program products for predictive maintenance of an unmanned aerial vehicle (UAV) are disclosed. In a particular embodiment, a method of predictive maintenance of a UAV includes a maintenance controller detecting a deviation in an expected behavior of a UAV and determining whether to attribute the deviation to any environmental interferences. In this example embodiment, after determining to not attribute the deviation to any environmental interferences, the maintenance controller schedules the UAV for maintenance.

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: Methods, systems, apparatuses, and computer program products for increasing awareness of an environmental condition for an unmanned aerial vehicle (UAV) are disclosed. In a particular embodiment, a method of increasing awareness of an environmental condition for a UAV includes an environmental awareness controller utilizing data associated with a first UAV to detect an environmental condition at a location associated with the first UAV. In this embodiment, the environmental awareness controller also updates environmental condition information associated with the location to indicate detection of the environmental condition at the location and provides the updated environmental condition information to a device associated with second UAV.

Abstract: Methods, apparatuses, system, devices, and computer program products for unmanned aerial vehicle (UAV) response to object detection are disclosed. In a particular embodiment, a detection response controller receives data generated by one or more sensors of a UAV. Based on the generated data, the detection response controller determines a presence and an identification of an object in a proximity of the UAV. Based on the presence and the identification of the object, the detection response controller determines one or more actions for the UAV to perform.

Abstract: In a particular embodiment, parallel deconfliction processing of unmanned aerial vehicles (UAVs) is disclosed that includes a UAV control system partitioning the airspace over a geographic region into a plurality of airspace regions. In this example embodiment, the UAV control system includes a plurality of deconfliction controllers. For each deconfliction controller in the plurality of deconfliction controllers, the UAV control system assigns to the deconfliction controller, one or more airspace regions of the plurality of airspace regions. The UAV control system also inputs, in parallel, flight path data for a plurality of unmanned aerial vehicles (UAVs) to the plurality of deconfliction controllers. This embodiment also includes processing, in parallel by the plurality of deconfliction controllers, the flight path data to identify a flight conflict between two or more UAVs. Each deconfliction controller outputs a deconfliction result for each airspace region.

Abstract: Methods, systems, apparatuses, and computer program products for automated mission planning and execution for an unmanned aerial vehicle (UAV) are disclosed. In a particular embodiment, automated mission planning and execution for a UAV includes a computing device receiving from a user, mission parameters for planning a mission and identifying, based on the mission parameters, constraints on the mission. In this example embodiment, the computing device determines, based on the identified constraints, a set of pairs of UAVs and flight paths. Each pair includes a flight path and a UAV that is available and capable to perform the flight path in accordance with the mission parameters. The computing device selects from the set of pairs to assign to the mission, a pair of a particular UAV and a particular flight path.

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: A personal protection and pathogen disinfection system includes personal protective equipment (“PPE”) configured to cover at least a portion of a person's face when worn by the person, a disinfection device configured to be worn or carried by the person, an input device configured to receive input from the person, and at least one processor configured to selectively activate the disinfection device responsive to the input.

Abstract: The present application relates to a system and method for highlight detection, and includes a highlight detection method for detecting highlights of a stream. The method comprises: collecting purchasing information from a user terminal; and detecting the highlight of the stream according to the purchasing information. The purchasing information includes purchasing actions of the user terminal, and the purchasing actions are actions related to purchase of the user terminal. According to the subject application, the highlights may be detected, captured and generated automatically, and the time and efforts for manual work may be saved.

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: Controlling the operation of one or more components in an electric vehicle, including: receiving, from one or more vehicle operation sensors, operation data including sensor data corresponding to a condition of one or more components of the vehicle; determining, using a trained model, whether the one or more components of the vehicle are operating in an acceptable manner; and generating a control signal to adjust operation of the one or more components of the vehicle.

Abstract: Contactless payment from a vehicle, including: configuring the vehicle with payment information associated with a payment mechanism; receiving a request for payment from a payment recipient; requesting, by the vehicle, permission to transmit at least a portion of the payment information associated with the payment mechanism to the payment receiving mechanism; receiving, by the vehicle, permission to transmit at least a portion of the payment information associated with the payment mechanism to the payment receiving mechanism; and transmitting, from the vehicle to a payment receiving mechanism, at least a portion of the payment information associated with a payment mechanism.