Abstract: A system for optimization of a recharging flight plan for an electric vertical takeoff and landing (eVTOL) aircraft. The system includes a recharging infrastructure. The recharging infra structure includes a computing device. The computing device is configured to receive an aircraft metric from a flight controller of an eVTOL aircraft, generate a safe approach plan for the eVTOL aircraft as a function of the aircraft metric, transmit the safe approach plan to the eVTOL aircraft for execution by the eVTOL aircraft, and transmit the safe approach plan to a remote device. A method for optimization of a recharging flight plan for an eVTOL aircraft is also provided.

Abstract: A method for monitoring extra off-duty time intervals of a driver includes: obtaining on-duty time intervals and off-duty time intervals of a driver; and scanning the off-duty time intervals to identify extra off-duty time intervals having a length more than a second minimum length and less than a first minimum length, any identified extra off-duty time intervals being subtracted from a predefined threshold. If the threshold is greater than 0, a workshift reset time interval is analyzed and it is determined if the workshift reset time interval includes an extra off-duty time interval, which cannot be used as workshift reset time interval. Subsequently the analyzed extra off-duty time intervals are subtracted from the threshold. If the threshold is greater than 0, the workshift reset time interval is analyzed and, the workshift reset time interval is, at least partly, shifted from today to tomorrow to create extra off-duty time interval today.

Abstract: This technology describes one type of CAVH services focusing on fixed-route trips such as commuting, shopping, school, and other trips that users previously travel recurrently and frequently. The technology describes the system architecture of the proposed fixed-route services. The technology includes methods of calibrating, providing, and optimizing the functionalities of such fixed-route services. The detailed methods are proposed for pre-trip, enroute, trip chaining, and post-trip operations, the cyber-physical security, and privacy protection for the users and participating vehicles.

Abstract: A networked system for providing public space data on demand, including a plurality of vehicles driving on city and state roads, each vehicle including an edge device with processing capability that captures frames of its vicinity, a vehicle-to-vehicle network to which the plurality of vehicle are connected, receiving queries for specific types of frame data, propagating the queries to the plurality of vehicles, receiving replies to the queries from a portion of the plurality of vehicles, and delivering matched data by storing the matched data into a centralized storage server, and a learner digitizing the public space in accordance with the received replies to the queries.

Abstract: A method performed by an in-vehicle infotainment (IVI) system of a vehicle includes identifying an out-of-sight view of the vehicle, determining that information related to the identified out-of-sight view needs to be received from an unmanned aerial vehicle (UAV), identifying coordinates on the identified out-of-sight view to locate the UAV, based on an environment condition at a current position and at a future position of the vehicle, transmitting a signal indicating the coordinates to the UAV, and receiving the information related to the identified out-of-sight view from the UAV located at the coordinates.

Abstract: An unmanned aerial vehicle (UAV) configured to be carried on a vehicle and a method and a system for holding umbrella using the UAV are disclosed. The UAV and the vehicle are communicated with each other wirelessly. The UAV can be used for providing the service of holding umbrella for the occupant getting on/off the vehicle. The occupant does not have to manually hold the umbrella, so as to effectively solve the problem of getting wet when getting on/off the vehicle due to holding umbrella manually.

Abstract: A system for a wind park including: a control system in communication with a plurality of unmanned air vehicles, wherein the control system is configured to deploy one or more unmanned air vehicles during a triggering condition; and wherein the deployed unmanned air vehicles are guided towards an assigned wind turbine and to interact with a blade of that wind turbine in order to control oscillation of the blade. The invention also embraces a method for reducing blade oscillations of a wind turbine, comprising: monitoring for a triggering condition associated with the wind turbine; on detecting the triggering condition, deploying unmanned air vehicles towards a wind turbine and interacting with a blade of the wind turbine using the unmanned air to control oscillation of the blade. The invention therefore provides an efficient approach to controlling blade oscillations with minimal human operator involvement.

Abstract: Logged data from an autonomous vehicle is processed to generate augmented data. The augmented data describes an actor in an environment of the autonomous vehicle, the actor having an associated actor type and an actor motion behavior characteristic. The augmented data may be varied to create different sets of augmented data. The sets of augmented data can be used to create one or more simulation scenarios that in turn are used to produce machine learning models to control the operation of autonomous vehicles.

Abstract: A device projects a virtual three-dimensional map of a physical environment onto an area captured by an image sensor of the device. The device receives user input to begin tracking device motion. In response to receiving the user input, the device tracks its motion within the area. The device determines location data within the area and orientation data of the image sensor within the area based on the tracked motion of the device. At least one of the location data or the orientation data is converted to real-world coordinates based on the virtual three-dimensional map of the physical environment. Path data is generated for a physical vehicle based on the at least one converted location or orientation data.

Abstract: A system for electric aircraft navigation includes a sensor configured to detect a navigation signal, a flight controller, wherein the flight controller is configured to receive the navigation signal, identify a navigation status as a function of the navigation signal, and determine an aircraft adjustment as a function of the navigation status, and a pilot display, wherein the pilot display is configured to display the aircraft adjustment to a user, and present an autonomous function configured to enact the aircraft adjustment automatically.

Abstract: A method of operating a device, the device being configured to communicate with a wireless telecommunications network and the device being in the form of an Autonomous Vehicle (AV), the method comprising the steps of: detecting a fault associated with the AV; and in response to detecting said fault, causing the AV to transmit a mayday wireless network communication for alerting the wireless telecommunications network of the fault; in response to the mayday wireless network communication, identifying a recovery AV that is capable of retrieving at least part of the AV and delivering said at least part to an intended destination; and instructing the recovery AV to perform the retrieving and delivering by communicating an instructing message, wherein the instructing message is in the form of a system information message.

Abstract: A vehicle and a stop switch apparatus capable of accommodating various unexpected situations in a software operable vehicle. The vehicle is provided with a first operation section that allows operation of the vehicle without software, a second operation section capable of operating the vehicle by using software, a communicator that communicates with an external apparatus, and a stop switch that is provided physically and operable to stop operation of the second operation section without software.

Abstract: An unmanned aerial vehicle having a drive unit for enabling the flight of the aerial vehicle in air space and having a flight control unit, which is configured to receive control information from a radio remote control or to control positions of the aerial vehicle in air space that employ stored position information in order to control the flight course of the aerial vehicle. A modular flight formation control unit has a first interface with the flight control unit and a second radio interface to a flight formation ground control unit or with flight formation control units of other aerial vehicles, and the flight formation control unit configured to generate or send control information corresponding to the radio remote control and is configured to output, via the first interface, flight formation control information relevant for the formation flight of at least two aerial vehicles to the flight control unit.

Abstract: A drone coordination device includes an acquisitor which acquires an action plan from an automated vehicle and a determinator which determines a flight plan of a drone including a section in which the drone will be mounted on the automated vehicle on the basis of the action plan acquired by the acquisitor.

Abstract: A method and device for communication that is comprehensive among users, including receiving information concerning a first state transition in an autonomous driving system from a user of the autonomous driving system, determining information concerning a state of the autonomous driving system, based on the information concerning the first state transition and at least one second state transition, and saving the information concerning the state in at least one block chain. A method and device for communication in a user that is comprehensive among users, including determining a first state transition in the autonomous driving system based on information concerning a state of the autonomous driving system, information concerning at least one second state transition in the autonomous driving system being received from at least one block chain, and the state of the autonomous driving system being determined based on the information concerning the at least one second state transition.

Abstract: A computer-implemented method includes: receiving, by a computer device, sensor data for a plurality of UAVs in a fleet of UAVs; applying, by the computer device, logistic regression to the sensor data; predicting, by the computer device, a probability of malfunction of each UAV in the fleet of UAVs based on the applying; combining, by the computer device, the probability of malfunction of each UAV with a pre-existing malfunction data set to produce an intermediate malfunction data set; generating, by the computer device, additional cases of predicted UAV malfunctions with a GAN, the GAN using the intermediate malfunction data set as initial training data for the GAN; combining, by the computer device, the additional cases with the intermediate malfunction data set to produce a combined malfunction data set; and comparing, by the computer device, the sensor data for a first UAV of the UAVs to the combined malfunction data set.

Abstract: A management system for a work vehicle, includes: a traveling condition data generation unit configured to generate traveling condition data of a work vehicle having a notification device configured to notify a moving direction; a notification data generation unit configured to generate notification data for controlling the notification device such that, based on the traveling condition data, the notification device operates in a first state at a time of moving forward of the work vehicle, and the notification device operates in a second state different from the first state at a time of moving backward of the work vehicle; and an output unit configured to output the notification data, to the work vehicle.

Abstract: A system, method, and apparatus for remotely controlled or even autonomous drone positioning control includes a drone, positioning control subsystem, subcontroller, positional or inertial sensor, processor, image sensor, and ground control device, and is configured to i) ascertain a geographical area having a geofence, ii) track at least one subject and an associated physical or digital marker within the geographical area, iii) recognize and process at least one marker geofence, iv) execute at least one positioning plan data set having at least one positioning path, and v) fly the drone per the data sets and paths without crossing a geofence or colliding with any obstacle. The present invention may also be configured to execute one or more commands that cause the drone to switch its position or path relative to priority or sequence-oriented commands, or to move the drone within a certain distance from the marker.

Abstract: A system includes a processing circuit onboard an aircraft and configured to determine an optimum cruise profile for the aircraft based on a flight plan, a characteristic of the aircraft, and an environmental characteristic. The processing circuit is also configured to determine an optimized cruise vertical path based on the optimum cruise profile and air traffic information of at least one other aircraft, and control an autopilot system of the aircraft to cause the aircraft to follow the optimized cruise vertical path.

Abstract: In order to fly a flying body more safely using a flight route according to a fall enable area, there is provided an image processing apparatus including a detector that detects a fall enable area on the ground surface based on a flying body video obtained when a flying body captures a ground area spreading below while moving. The image processing apparatus further includes a falling range estimator that estimates a falling range on the ground surface in case of a fall, and a decision unit that decides a flight route of the flying body such that the falling range is covered by the detected fall enable area.