Abstract: Systems and methods for powering and controlling flight of an unmanned aerial vehicle are provided. The unmanned aerial vehicles can be used in a networked communication system. A tether management system can be used to facilitate both mobile and static tethered operation to provide power and/or voice and data communication.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, are described for implementing an unmanned aerial vehicle or drone with ducted fans. The drone includes a housing having a first surface and multiple ducts that each extend from the first surface to a second surface of the housing. The first surface is substantially flat. A respective fan assembly is installed in each of the ducts. The drone includes an internal cavity at a location intermediate two respective ducts and circuitry positioned in the internal cavity. The circuitry is operable to generate control signals used to operate the respective fan assemblies.

Abstract: An obstacle avoidance system for a camera arm configured to observe traffic to the rear of a vehicle, the vehicle having bodywork, includes: the camera arm having a camera; and a guide configured so as to extend from a lateral surface of the bodywork of the vehicle to a roof surface of the bodywork of the vehicle. The camera arm is arranged on the guide so as to be slidable along the guide back and forth between a position of rest on the roof surface and a working position on the lateral surface.

Abstract: Method and apparatus for detecting crop field parameters with a header of a harvester. The header includes a reel configured to draw crop from a crop field toward the header as the harvester moves through the crop field and at least one distance sensor mounted to the reel. Data is received from the at least one distance sensor mounted on the reel, processed, and used to detect crop field parameters.

Abstract: The invention ensures a proper vehicle attitude even if a friction coefficient of a contacted road surface with respect to wheels is small.

Abstract: A priori georeferenced vegetative index data is obtained for a worksite, along with field data that is collected by a sensor on a work machine that is performing an operation at the worksite. A predictive model is generated, while the machine is performing the operation, based on the georeferenced vegetative index data and the field data. A model quality metric is generated for the predictive model and is used to determine whether the predictive model is a qualified predicative model. If so, a control system controls a subsystem of the work machine, using the qualified predictive model, and a position of the work machine, to perform the operation.

Abstract: Systems and methods to detect objects and associated properties may be performed by an aerial vehicle having one or more propellers and one or more microphones. The aerial vehicle may emit propeller noise patterns via the propellers during operation, and the aerial vehicle may receive echoes of the propeller noise patterns via the microphones. Based on the emitted noise patterns and received echoes, the aerial vehicle may detect objects and associated properties within an environment of the aerial vehicle. In addition, the aerial vehicle may emit encoded propeller noise patterns via the propellers during operation to communicate with other aerial vehicles, and other aerial vehicles may receive the encoded propeller noise patterns via microphones. Using such encoded propeller noise patterns, a plurality of aerial vehicles may communicate and/or coordinate operations with each other.

Abstract: Described is a system and apparatus that provides redundant flight control for an aerial vehicle without the use of independent and dedicated redundant flight control boards and processors. Additional compute resources available on processors of other device boards of an aerial vehicle may be used to execute redundant flight control programs. The device boards and/or those redundant flight control programs monitor the operability of the various flight controllers. If any of the flight controllers is determined to be inoperable, one of the redundant flight control programs assumes the role of the inoperable controller.

Abstract: A work machine control system includes: a position sensor that detects the position of a work machine travelling on a traveling path; a non-contact sensor that detects the position of an object around the work machine; and a map data creation unit that creates map data on the basis of a detection point of the object and detection data of the position sensor, the detection point being detected by the non-contact sensor and satisfying a defined matching condition.

Abstract: Systems and method are provided for controlling a vehicle. In one embodiment, a method includes: initiating, by a controller onboard the vehicle, a first laser pulse from a first laser device; initiating, by a controller onboard the vehicle, a second laser pulse from a second laser device, wherein the initiating the second laser pulse is based on a phase shift angle; receiving, by the controller onboard the vehicle, first return data and second return data as a result of the first laser pulse and the second laser pulse; interleaving, by the controller onboard the vehicle, the first return pulse and the second return pulse to form a point cloud; and controlling, by the controller onboard the vehicle, the vehicle based on the point cloud.

Abstract: A data propagation system stores operator/machine/implement combinations, and corresponding settings data indicative of settings on the machine or implement for the corresponding combination. When a machine is connected to an implement, an identity of an operator is detected, along with an identity of the machine and an identity of the implement. The data propagation system determines whether settings data is available for that operator/machine/implement combination. If so, the settings data is obtained and the machine and implement are automatically controlled based upon the retrieved settings data.

Abstract: An automated speed control system includes a ranging-sensor, a camera, and a controller. The ranging-sensor detects a lead-speed of a lead-vehicle traveling ahead of a host-vehicle. The camera detects an object in a field-of-view. The controller is in communication with the ranging-sensor and the camera. The controller is operable to control the host-vehicle. The controller determines a change in the lead-speed based on the ranging-sensor. The controller reduces a host-speed of the host-vehicle when the lead-speed is decreasing, no object is detected by the camera, and while a portion of the field-of-view is obscured by the lead-vehicle.

Abstract: Methods and apparatus for performing repair operations using an unmanned aerial vehicle (UAV). The methods are enabled by equipping the UAV with tools for rapidly repairing a large structure or object (e.g., an aircraft or a wind turbine blade) that is not easily accessible to maintenance personnel. A plurality of tools are available for robotic selection and placement at the repair site. The tools are designed to perform respective repair operations in sequence in accordance with a specified repair plan, which plan may take into account the results of a previously performed UAV-enabled inspection.

Abstract: Systems and methods are provided for vehicle re-routing context determination for a subject vehicle, including: tracking movement of the subject vehicle as the subject vehicle is following a planned route; determining whether a deviation of the subject vehicle from the planned route indicates a user-initiated re-routing of the subject vehicle from the planned route; gathering data from a plurality of sources indicating a route condition leading to the user-initiated re-routing; analyzing the gathered data to determine a reason for the user-initiated re-routing; and based on the reason, determining whether to reroute other vehicles to avoid the reason for the user-initiated re-routing.

Abstract: The present disclosure provides a method for controlling a drone, a drone, and a system. The method for controlling a drone comprises: determining operating parameters of a moving platform according to field-of-view images containing the moving platform collected at any two different moments and flight parameters of the drone; calculating a time-varying tracking position of the moving platform based on the operating parameters; controlling the drone to track the moving platform according to the time-varying tracking position of the moving platform; and controlling the drone to perform a landing operation according to a relative position of the moving platform and the drone during tracking. The technical solutions according to the present disclosure have high landing accuracy, rely less on device performance and have high versatility.

Abstract: A sensor system may include first and second sensors configured to be coupled to a vehicle and generate respective first and second sensor signals indicative of operation of the vehicle. The sensor system may also include a sensor anomaly detector including an anomalous sensor model configured to receive the first and second sensor signals and determine that one or more of the first sensor or the second sensor is an anomalous sensor generating inaccurate sensor data. The sensor system may also be configured to identify one or more of the first sensor or the second sensor as the anomalous sensor generating inaccurate sensor data.

Abstract: Disclosed are a car-sharing service device and a method of operating the same capable of improving convenience of the use of a car-sharing service and increasing participation in the service by providing an environment in which targets requiring the car-sharing service are specified and the common use of a shared car is recommended to each of the specified targets.

Abstract: A vehicle includes: recognizing a forward vehicle in response to the processing of image data captured by an image sensor disposed at the vehicle so as to have a field of view of the outside of the vehicle; obtaining a distance from the forward vehicle in response to the processing of detecting data captured by a radar disposed at the vehicle so as to have a detecting area of the outside of the vehicle; obtaining a change amount of vertical movement of the forward vehicle in the image data in response to the distance from the forward vehicle that is equal to or less than a reference distance; obtaining a height of an obstacle on a road surface corresponding to the change amount; obtaining the height of the obstacle on the road surface in the image data in response to the distance from the forward vehicle that exceeds the reference distance; identifying a driving speed of the vehicle; identifying a reference height corresponding to the driving speed of the vehicle; and outputting deceleration guide information

Abstract: A multirotor aerial vehicle (MAV) is disclosed. The MAV includes a housing, a plurality of rotatable arms, wherein each of the plurality of rotatable arms has a proximal end coupled to the housing and a distal end configured to rotate about a vertical axis passing through the proximal end of the corresponding arm, a plurality of thrust-generating rotors, each coupled to a corresponding one of the plurality of rotatable arms at the corresponding distal end, a flight controller configured to selectively control each of the plurality of thrust-generating rotors, and a flight trim controller configured to control rotation of the plurality of rotatable arms in order to adjust the geometric center of the rotors of the MAV from a first center of gravity (CoG) associated with the MAV in an unloaded state to a second CoG associated with the MAV in a loaded state.

Abstract: A transportation vehicle, a traffic control entity, a method, a computer program, and an apparatus for adapting a speed of transportation vehicles in a platoon. The method for adapting a speed of transportation vehicles in a platoon includes obtaining information related to a future course of required minimum inter-vehicular distances of the transportation vehicles of the platoon. The method also includes adapting a speed of the transportation vehicles of the platoon based on the information related to the future course of the required minimum inter-vehicular distances and a fuel consumption of the transportation vehicles of the platoon.