Abstract: Disclosed is a networked array of radar enclosures that can be arranged to cover a desired geographical location. The array can detect moving objects in the coverage area. When warranted, elements of the array can also control the movement of associated objects, for example, friendly drones. The present invention also combines attributes that facilitate the less conspicuous detection and monitoring of moving objects, with the capability of distinguishing types of moving objects.

Abstract: A method for operating a driver assistance system for a motor vehicle driven in an at least partially automated manner includes learning a trajectory in a learning mode for driving the vehicle in a first automated manner along the trajectory. Subsequently, the vehicle is driven in the first automated manner along the learnt trajectory in an operating mode following the learning mode. While the vehicle is being driven along the trajectory in the operating mode, at least one transition from a private area to a public area is detected. Additional data, including current traffic data related to driving the vehicle in the public area, is acquired and provided for the driver assistance system. The motor vehicle is driven along the learnt trajectory in a second automated manner in the public area using the additional data.

Abstract: Described is a system for analyzing time series data. A sequence of symbols is generated from a set of time series input data related to a moving vehicle using automatic segmentation. A grammar is extracted from the sequence of symbols, and the grammar is a subset of a probabilistic context-free grammar (PCFG). Using the grammar, time series input data can be analyzed, and a prediction of the vehicle's movement can be made. Vehicle operations for an autonomous vehicle are determined using the prediction.

Abstract: A vehicle control interface connects a vehicle platform including a first computer that performs travel control of a vehicle and an autonomous driving platform including a second computer that performs autonomous driving control of the vehicle. The vehicle control interface includes a control unit configured to execute: acquiring, from the second computer, a first control command including at least one of first data on designating acceleration or deceleration and second data on designating a travel track; converting the first control command into a second control command for the first computer; and transmitting the second control command to the first computer. The first control command is data for controlling the vehicle platform.

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: 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: The present disclosure provides an unmanned flight system and a control system for an unmanned flight system. The unmanned flight system comprises: a body and a lift mechanism connected to the body, wherein the lift mechanism includes two rotor assembly arm structures respectively provided on two sides of the body, wherein each of the rotor assembly arm structures respectively includes: an arm, a pivotable rotor assembly, a motor for driving the rotor assembly to pivot about a pivot axis, and a motor base for mounting the motor, wherein one end of the arm is pivotally connected to one side of the body, the motor base is pivotally provided on the other end of the arm, and a rotational axis of the motor base is higher than a center of gravity of the unmanned flight system. The unmanned flight system according to the present disclosure can achieve a longer flight time, a simple rotor assembly structure, and easier overall assembly and maintenance.

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: The present teaching relates to a method, system, medium, and implementation of processing image data in an autonomous driving vehicle. Sensor data acquired by one or more types of sensors deployed on the vehicle are continuously received. The sensor data provide different information about surrounding of the vehicle. Based on a first data set acquired by a first sensor of a first type of the one or more types of sensors at a specific time, an object is detected, where the first data set provides a first type of information about the surrounding of the vehicle. Depth information of the object is then estimated via object centric stereo at object level based on the object detected as well as a second data set acquired by a second sensor of the first type of the one or more types of sensors at the specific time. The second data set provides the first type of information about the surrounding of the vehicle with a different perspective as compared with the first data set.

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: A vehicle control device includes a potential terminal (14), a ground output (22) and a processing unit (12) with a potential input (20). A ground loss detection device (27) includes a first ground loss detection line area (24) connecting the ground output to a first ground potential terminal (28) and a second ground loss detection line area (26) connecting the ground output to a second ground potential terminal (30). An operating voltage generation unit generates a predefined operating voltage between the potential input and the ground output based on a supply voltage present at the potential terminal. A first voltage detection device detects a voltage between the potential input and the first ground potential terminal. A second voltage detection device detects a voltage between the potential input and the second ground potential terminal. A third voltage detection device detects a voltage between the potential input and the ground output.

Abstract: A motion constraint-aided underwater integrated navigation method employing improved Sage-Husa adaptive filtering includes establishing a Doppler log error model; constructing a state equation for an underwater integrated navigation system employing Kalman filtering; according to a relationship between a centripetal acceleration and a forward velocity of an underwater vehicle, establishing a constraint condition, and constructing a complete motion constraint model; establishing two measurement equations; and establishing a filter equation, conducting calculation by using a standard Kalman filtering algorithm when an underwater glider normally runs, and conducting time updating, measurement updating and filtering updating by using an improved Sage-Husa adaptive filtering algorithm when a measurement noise varies.

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: A vehicle control device has a processor configured to determine whether or not a problem exists with the level of active operation by the driver and when there is a problem with the driver, to set a stopping location for the vehicle on a traveling lane and to determine whether or not another traffic lane is adjacent on the side of the stopping location opposite from a passing lane and, when another traffic lane is adjacent, to determine whether or not the stopping location is within a stop avoidance area set in the traveling lane, based on an adjacent start location or an adjacent end location and, when the stopping location is within the stop avoidance area, to generate a stopping plan for stopping of the vehicle at a location between the adjacent start location and the adjacent end location other than in the stop avoidance area.

Abstract: A vehicle dispatch system includes an dispatched candidate vehicle selection unit configured to select a plurality of dispatched candidate vehicles for the point of dispatch from the plurality of autonomous driving vehicles based on the point of dispatch and the positions of autonomous driving vehicles, a route search unit configured to search routes to the point of dispatch for the dispatched candidate vehicles based on the point of dispatch, the positions of dispatched candidate vehicles and the map information, a vehicle dispatch control unit configured to dispatch at least two or more of the dispatched candidate vehicles to the point of dispatch, when the dispatched candidate vehicles is selected.

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: 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 processor operates to: acquire first information regarding a surrounding travel environment including a travel lane in which a subject vehicle travels, on the basis of detection information from an onboard sensor; refer to map information stored in a storage device to acquire second information regarding lanes of a road; determine whether or not a travel road to which the travel lane belongs is a predetermined specific road, on the basis of the first information; and when a determination is made that the travel road is the specific road, composite the first information and the second information to generate travel environment information.

Abstract: A hybrid control system includes a control agent and a control engine. The control engine is configured to install a master plan to the control agent. The master plan includes a plurality of high-level tasks. The control agent is configured to operate according to the master plan to, for each high-level task of the high-level tasks, obtain one or more low-level controls and to perform the one or more low-level controls to realize the high-level task. The control agent is configured to operate according to the master plan to transition between the plurality of high-level tasks thereby causing a seamless transition between operating at least partially autonomously and operating at least partially based on input from the tele-operator, based at least on context for the control agent, to operate at least partially autonomously and at least partially based on input from the tele-operator during execution of the master plan.

Abstract: Sports and fitness applications for an autonomous unmanned aerial vehicle (UAV) are described. In an example embodiment, a UAV can be configured to track a human subject using perception inputs from one or more onboard sensors. The perception inputs can be utilized to generate values for various performance metrics associated with the activity of the human subject. In some embodiments, the perception inputs can be utilized to autonomously maneuver the UAV to lead the human subject to satisfy a performance goal. The UAV can also be configured to autonomously capture images of a sporting event and/or make rule determinations while officiating a sporting event.