Abstract: A method of transferring data between an autonomous vehicle and a vehicle traffic control infrastructure system. The method includes receiving, by a communication device of a vehicle, a data payload for a smart traffic control infrastructure node. The method includes, by a computing device of the vehicle: determining that the vehicle is or will be within a communication range of the smart traffic control infrastructure node, determining a length of time that the vehicle will be in the communication range of the smart traffic control infrastructure node, and assembling a communication package with at least a portion of the data payload that can be transferred in the determined length of time. The method includes, by a communication device of the vehicle when the vehicle has an ad hoc communication link with the smart traffic control infrastructure node, transmitting the assembled communication package to the smart node.

Abstract: Systems and methods for trajectory prediction and motion device control include receiving a first set of data about a surrounding environment of a motion device. The first set of data includes first sensory data and first position data. The method includes receiving a second set of data about the surrounding environment of the motion device. The second set of data includes second sensory data and second position data, where the first sensory data differs in modality from the second sensory data. The method also includes extracting features from the first set of data that model motion behavior of the motion device, and extracting features from the second set of data that model motion behavior of the motion device. The method includes inputting the features into a machine learning model, and computing a first trajectory based on a first latent variable and a second trajectory based on a second latent variable.

Abstract: A method for controlling braking of an autonomous vehicle includes: recognizing, by a driving situation recognizer, a vehicle stop situation based on environment information around the vehicle; generating, by a deceleration profile generator, a nth-order polynomial-based deceleration profile having a plurality of inflection points (n being a natural number equal to or greater than three) when the vehicle stop situation is recognized; correcting, by a corrector, the nth-order polynomial-based deceleration profile by setting at least one of a response time of a decelerator, a mass of the vehicle during driving or a deceleration performance of a brake to a control variable; and executing, by a controller, braking of the vehicle based on the corrected nth-order polynomial-based deceleration profile.

Abstract: Systems, apparatus, and methods are provided for retrieving data from remotely deployed sensor systems. Flight control systems are also provided for maintaining the orientation of a high gain antenna affixed to an aircraft relative to a stationary or nearly stationary transceiver.

Abstract: The article transfer system S selects an article transfer candidate on the basis of first sensing information obtained from first sensing performed by the unmanned aerial vehicle in flight, performs a movement control of the unmanned ground vehicle on the basis of position information of the selected article transfer candidate, and determines an article transfer place with reference to the selected article transfer candidate on the basis of second sensing information obtained from second sensing performed by the unmanned ground vehicle.

Abstract: Techniques for an unmanned aerial system that embeds data into power sent from a control system to one or more motors so that one or more wires between the control system and the one or more motors can be used to transmit power and data are described. As one example, an unmanned aerial system includes a sensor, a control system comprising alternating current power generation circuitry and first embedded data communication circuitry, and a motor system coupled to the control system via a set of one or more wires and comprising at least one motor to provide propulsion from power generated by the alternating current power generation circuitry and second embedded data communication circuitry to embed data from the sensor into the power generated by the alternating current power generation circuitry to produce modulated power, wherein the first embedded data communication circuitry is to extract the data from the modulated power.

Abstract: An occupant protection device for a vehicle includes: a collision predictor configured to predict a collision of the vehicle; a main airbag configured to deploy toward an occupant from a front of the vehicle when the collision predictor predicts a collision of the vehicle; an occupant center-of-gravity detecting device configured to detect a position of a center of gravity of the occupant; an armrest moving device configured to move an armrest; and a deployment controller configured to cause, when the collision predictor predicts a collision of the vehicle, the armrest moving device to move the armrest upward to guide the center of gravity of the occupant into a proper range on the basis of the position of the center of gravity of the occupant detected by the occupant center-of-gravity detecting device, subsequently cause the armrest moving device to remove the armrest, and thereafter, cause the main airbag to deploy.

Abstract: Apparatuses, methods, and computer readable storage media are provided for autonomously reporting road conditions. The apparatus can be operated by using one or more sensors by a detecting vehicle to detect a road condition. A computer can then identify the road condition using a component and generating a road condition information. The computer can then determine an effect of the road condition on other vehicles and determine a subset of the other vehicles that will be affected by the road condition. The computer can then transmit the road condition information such that the road condition information is receivable by the subset of other vehicles.

Abstract: Systems, methods, and computer-readable storage media for generating a flight path for aerial drones around parked vehicles, where the flight path navigates an aerial drone to specific locations associated with predetermined views of the vehicle. A remotely located user can select from a list of predetermined views where the drone should travel, and the computer system can direct the drone to a location associated with the selected view, align the camera on the drone to capture the selected view, and relay live video of the selected view of the parked car to the user.

Abstract: A method for determining an altitude of a moving object includes obtaining pressure-dependent data from a plurality of sensors and computing the altitude of the moving object based on the pressure-dependent data from the plurality of sensors. Each of the sensors is mounted on the moving object with a respective primary orientation direction, and the primary orientation directions of at least two of the sensors are different.

Abstract: The present disclosure relates to a method for determining the fatigue of a driver of a motor vehicle, wherein the fatigue is determined while taking into account the steering behavior of the driver, characterized in that the method includes the following steps: determination of a hysteresis of the steering system or the fatigue detection system, and taking into account the detected hysteresis in the determination of the fatigue of the driver. Furthermore, the disclosure relates to a device that is set up to execute the method.

Abstract: An unmanned aircraft 1 according to an embodiment of the present invention provides an unmanned aircraft that properly makes a forced landing in case of an abnormality. The unmanned aircraft 1 is configured as a multicopter that flies with lift and thrust generated by rotation of six rotors 13. The unmanned aircraft 1 identifies a forced landing site in a case of having detected an abnormality during flight and controls motors 12 configured to drive the respective rotors 13, to make a landing at the identified forced landing site. The unmanned aircraft 1 is consequently enabled to make an autonomous forced landing at a specific site in case of an abnormality.

Abstract: A paving machine including a frame, a hopper assembly, and a control unit is disclosed. The control unit may be configured to determine a location of the paving machine, determine a heading and a travel speed of the paving machine, and generate a non-circular geofence corresponding to the paving machine. The non-circular geofence may have an anchor point that is disposed at the location of the paving machine, and may be positioned and oriented based on the heading and the travel speed of the paving machine. The control unit may be configured to determine a location of a supply machine relative to the paving machine, and determine a state of the supply machine based on a comparison between the location of the supply machine and the non-circular geofence. The control unit may be configured to cause an action to be performed based on the state of the supply machine.

Abstract: An airborne system and method for the characterization and measurement of radiating systems or antennas (5), including: an aerial module (1) including a unit for measuring electromagnetic emissions (11), which captures the electromagnetic field (E) radiated by the radiating system or antenna (5), and a positioning and guiding system (13) with an accuracy equal to or less than 3 cm; and a ground station (2) including a unit (23) for processing the electromagnetic emission measurements, which processes the measurements using a set of algorithms for processing electromagnetic emission measurements (25). Also, a method for measuring and characterizing radiating systems or antennas (5). The invention is suitable for use in sectors that require antennas to be characterized and measured, such as, for example, radar and radio navigation facilities, terrestrial- and satellite-based telecommunications systems, or terrestrial broadcasting facilities.

Abstract: A method for operating an advanced driver assistance systems (ADAS) includes determining a distance between an object and a vehicle, selecting a path estimation methodology from multiple path estimation methodologies based at least in part on a distance between the vehicle and the object, and activating at least one ADAS action in response to determining that the object intersects the estimated path.

Abstract: A method includes sensing, with a sensor, an outer surface of a pile of material, with a controller located on an at least partially autonomously-controlled machine, a midpoint of the pile of material based on the sensed outer surface; determining, with the controller, a plurality of potential loading paths around the midpoint for loading the machine; selecting, with the controller, a primary loading path of the potential loading paths based on a cost function analysis, and causing, with the controller, the machine to perform a loading instance as defined by the primary loading path.

Abstract: The present disclosure relates to a method, device, computer readable storage medium, and electronic device for planning velocity of a mobile apparatus. The method for planning velocity of a mobile apparatus provided by embodiments of the present disclosure comprises: acquiring a target weight coefficient according to a target linear velocity of the mobile apparatus; determining a motion central angle of the mobile apparatus according to a current pose, a target pose, and the target weight coefficient of the mobile apparatus; and calculating a target angular velocity of the mobile apparatus according to the motion central angle and the target linear velocity. The method for planning velocity of a mobile apparatus provided by embodiments of the present disclosure may realize real-time planning of velocity of the mobile apparatus to reach the target pose more accurately.