Abstract: Disclosed is a method for opening an opening element of a motor vehicle having a device detecting a predetermined movement of a user's body part, including a Doppler radar, including an antenna, radar waves transmitter/receiver and a radar wave processor. The method includes detection modes and standby modes with reduced wave frequency, the method including during standby: Phase demodulating the reflected radar waves and determining a first signal representing a phase variation of the reflected waves over time; Phase-shift demodulating the reflected radar waves, and determining a second signal representing phase variation of the reflected waves shifted as a function of time; Comparing threshold to maximum value of the absolute values for the first and second signals; Exiting the standby mode and triggering the detection mode if the maximum is greater than the predetermined threshold; Opening the opening element if the predetermined movement is detected during the detection mode.

Abstract: One or more information maps are obtained by an agricultural work machine. The one or more information maps map one or more agricultural characteristic values at different geographic locations of a field. An in-situ sensor on the agricultural work machine senses an agricultural characteristic as the agricultural work machine moves through the field. A predictive map generator generates a predictive map that predicts a predictive agricultural characteristic at different locations in the field based on a relationship between the values in the one or more information maps and the agricultural characteristic sensed by the in-situ sensor. The predictive map can be output and used in automated machine control.

Abstract: Techniques are disclosed for systems and methods to provide navigation control and/or docking assist for mobile structures. A navigation control system includes a logic device, one or more sensors, one or more actuators/controllers, and modules to interface with users, sensors, actuators, and/or other modules of a mobile structure. The logic device is configured to receive navigation control parameters from a user interface for the mobile structure and perimeter sensor data from a perimeter ranging system mounted to the mobile structure. The logic device determines navigation control signals based on the navigation control parameters and perimeter sensor data and provides the navigation control signals to a navigation control system for the mobile structure. Control signals may be displayed to a user and/or used to adjust a steering actuator, a propulsion system thrust, and/or other operational systems of the mobile structure.

Abstract: A disclosed method includes monitoring a plurality of emergency event queues at an emergency network entity; determining that an emergency event in one of the emergency event queues corresponds to an emergency type that can be responded to using an unmanned aerial vehicle; determining that an unmanned aerial vehicle is available that has capabilities corresponding to the emergency type; establishing an unmanned aerial vehicle control link between the unmanned aerial vehicle and the emergency network entity; and deploying the unmanned aerial vehicle to the emergency event location and providing data from the unmanned aerial vehicle on a display of the emergency network entity.

Abstract: A display device includes a display unit, and a control unit that displays a flight route of a flying object flying while photographing surroundings of a crane on the display unit. The control unit is configured to display the crane and the flight route on the display unit, and to display the flight route in a display mode viewed from at least two different directions.

Abstract: Disclosed are methods, systems, and non-transitory computer-readable medium for managing energy use in a vehicle. For instance, the method may include receiving forecasted data from a first external source, receiving real-time data corresponding to at least one weather parameter at a first location at a first time, and continuously determining whether to perform an adjustment to a control parameter of the vehicle by using a machine learning model that is based on the forecasted data for the at least one weather parameter, the real-time data for the at least one weather parameter, a battery condition of the vehicle, and/or an estimated amount of energy consumed by traveling along a first navigation path.

Abstract: An embodiment vehicle includes a sensor configured to measure a current acceleration of the vehicle and a controller configured to derive a target acceleration value based on a surrounding environment of the vehicle, derive a first acceleration value based on an acceleration performance of the vehicle, determine a second acceleration value based on a predetermined limit value and the first acceleration value, determine a final target acceleration value based on the target acceleration value and the second acceleration value, and cause the current acceleration of the vehicle to be changed based on the final target acceleration value.

Abstract: A caravanning vehicle system includes a lead vehicle having an engine and at least one trailing vehicle having an electric motor. The at least one trailing vehicle is non-mechanically connected to the lead vehicle. The lead vehicle includes a power transfer system that is configured to transfer electric power, wirelessly, to the at least one trailing vehicle.

Abstract: Techniques are disclosed for systems and methods to provide assisted and/or autonomous navigation for mobile structures. A docking assist system includes a logic device, one or more sensors, one or more actuators/controllers, and modules to interface with users, sensors, actuators, and/or other modules of a mobile structure. The logic device is adapted to receive docking assist parameters from a user interface and perimeter sensor data from a perimeter ranging system mounted to the mobile structure. The logic device determines docking assist control signals based on the docking assist parameters and perimeter sensor data. The logic device may then provide the docking assist control signals to a navigation control system. Control signals and/or other docking assist analysis and/or parameters may be displayed to a user and/or used to adjust a steering actuator, a propulsion system thrust, and/or other operational systems of the mobile structure.

Abstract: A method for operating a local network for a terminal device by a first communication device of a first motor vehicle is provided. A first mobile network connection is set up between the first motor vehicle and a network external to the motor vehicle Using the first communication device. The local network is created for the terminal device as a function of the first mobile network connection. A current first state of charge of a first electrical energy storage unit of the first motor vehicle is determined by the first communication device and the local network is created as a function of the determined first state of charge that is determined.

Abstract: One or more information maps are obtained by an agricultural work machine. The one or more information maps map one or more agricultural characteristic values at different geographic locations of a field. An in-situ sensor on the agricultural work machine senses an agricultural characteristic as the agricultural work machine moves through the field. A predictive map generator generates a predictive map that predicts a predictive agricultural characteristic at different locations in the field based on a relationship between the values in the one or more information maps and the agricultural characteristic sensed by the in-situ sensor. The predictive map can be output and used in automated machine control.

Abstract: A guidance device 120 is provided with a processing device 124 that generates a control signal to control a propulsion device 110 of a flying object 100 and a communication device 121 that transmits the control signal to the propulsion device 110. The processing device 124 generates a patrol control signal to control the propulsion device 110 so that the flying object 100 flies along a first patrol path and generates, based on information of a moving object that the flying object 100 is to intercept, an interception control signal to control the propulsion device 110 so that the flying object 100 flies toward the moving object. In addition, the processing device 124 generates, when generating the interception control signal, a notification signal to notify that the flying object 100 flies toward the moving object.

Abstract: An unmanned aerial vehicle (UAV), a stand for launching, landing, testing, refueling and recharging a UAV, and methods for testing, landing and launching the UAV are disclosed. Further, embodiments may include transferring a payload onto or off of the UAV, and loading flight planning and diagnostic maintenance information to the UAV.

Abstract: A flight control system for an unmanned aerial vehicle comprises an unmanned aerial vehicle on which a reflector is mounted and a total station for tracking the reflector and for acquiring measurement data including three-dimensional coordinates of the reflector, wherein the total station comprises a tracking module for tracking the reflector, a TS-data transmitting module having an optical axis parallel or approximately parallel to a tracking optical axis of the tracking module and for emitting a TS-data transmitting light, and a TS-arithmetic control module, wherein the unmanned aerial vehicle has a photodetector for receiving the TS-data transmitting light and for emitting a photodetecting signal and a UAV-arithmetic control module for controlling a flight of the unmanned aerial vehicle, and wherein the TS-arithmetic control module is configured to superimpose the measurement data on the TS-data transmitting light, and the UAV-arithmetic control module is configured to separate the measurement data from th

Abstract: A collision avoidance system may validate, reject, or replace a trajectory generated to control a vehicle. The collision avoidance system may comprise a secondary perception component that may receive sensor data, receive and/or determine a corridor associated with operation of a vehicle, classify a portion of the sensor data associated with the corridor as either ground or an object, determine a position and/or velocity of at least the nearest object, determine a threshold distance associated with the vehicle, and control the vehicle based at least in part on the position and/or velocity of the nearest object and the threshold distance.

Abstract: A computer-implemented method includes obtaining a weed map of a field including a crop, the weed map representing weed plant locations on the field, identifying, based at least in part on the weed map, weed seed locations that represent presence of weed seeds on the field, and generating a control signal for a pre-emergence weed mitigation operation based on the weed seed locations.

Abstract: A system for determining a travel direction that avoids objects when a vehicle travels from a current location to a target location is provided. The system determines a travel direction based on an attract-repel model. The system accesses external object information provided by an external object system. The external object information may include, for each of a plurality of objects, location, type, and constraint. The system assigns a repel value to the location of each object based on the type of and constraint on the object. The system assigns an attractive value to the target location. The system calculates a cumulative force based on the attractive and repulsive forces and sets the travel direction based on the cumulative force.

Abstract: Techniques are disclosed for systems and methods to provide docking assist for mobile structures. A docking assist system includes a logic device, one or more sensors, one or more actuators/controllers, and modules to interface with users, sensors, actuators, and/or other modules of a mobile structure. The logic device is adapted to receive docking assist parameters from a user interface for the mobile structure and perimeter sensor data from a perimeter ranging system mounted to the mobile structure. The logic device determines docking assist control signals based, at least in part, on the docking assist parameters and perimeter sensor data, and it then provides the docking assist control signals to a navigation control system for the mobile structure. Control signals may be displayed to a user and/or used to adjust a steering actuator, a propulsion system thrust, and/or other operational systems of the mobile structure.

Abstract: The present disclosure relates to a system that comprises: a control station intended to be operated; an unmanned aerial vehicle for multiple tasks (UAM) which is supported, by unmanned aerial devices (UAV), unmanned ground vehicle (UGV), and by a centralised mobile reel unit which feeds cables and hoses for supplying multiple additive and subtractive fluids (e.g. paint, air suction, etc.) and for charging power; wherein the cables and hoses comprise a device that makes it possible to predict trajectories, without interfering with flight maneuvers or the environment. The UAM comprises a robotic arm with specific tools that make it possible, for example, to paint fences, as well as a device that allows it to be attached to various surfaces.

Abstract: Provided are a moving body guidance apparatus, a moving body guidance method and a computer-readable recording medium that are for accurately guiding a moving body to a target site. The moving body guidance apparatus has a detection unit 2 that detects, from an image 40 captured by an image capturing apparatus 23 mounted on a moving body 20, a target member image 42 captured of an entirety of a target member 30 or a feature member image 43 captured of an entirety or a portion of feature members 31 and 32 forming the target member 30, and a control unit 3 that performs guidance control for moving a set position 41 set with respect to the image 40 and indicating a position of the moving body 20 closer to the target member image 42 or closer to a designated region 44 set based on the feature member image 43.