Abstract: In some examples, an aircraft comprises a motorized module. The motorized module comprises a motor and a first coil. The motor is to operate equipment onboard the aircraft and generates vibrations during operation. The first coil is operable to wirelessly transmit power to a separate module onboard the aircraft based on electromagnetic induction between the first coil and a second coil in a separate module, and wirelessly transfer data with the separate module via the second coil based on the electromagnetic induction, the data being associated with the motor. A gap separates the motorized module and the separate module. The gap isolates the separate module from the vibrations.

Abstract: A network system, such as a transport management system, selects a pickup location for a trip and navigates a rider to the selected pickup location using augmented reality (AR). Responsive to receiving a trip request including an origin location, a pickup location selection module selects candidate pickup locations within a threshold distance of the rider client device. The pickup location selection module filters and ranks the candidates based on historical service data and location characteristics associated with the origin location as well as any history of pickups of the rider at the origin location and data from the trip request. The top-ranked candidate is selected as the pickup location and sent to the rider and driver client devices. An AR navigation module instructs the rider client device to visually augment a live video stream with computer-generated AR elements to navigate the rider from a current location to the pickup location.

Abstract: The head-up display apparatus includes: a vehicle information acquisition unit configured to acquire various kinds of vehicle information which can be detected by a vehicle; a controller configured to control display of a video image based on the vehicle information; a video image display configured to form the video image based on an instruction from the controller; a mirror configured to reflect the video image formed by the video image display to project onto the windshield; a mirror driver configured to change an angle of the mirror based on an instruction from the controller; and a display distance adjusting mechanism configured to adjust a display distance of the virtual image with respect to the driver, and the controller adjusts the angle of the mirror via the mirror driver based on the vehicle information such that the virtual image can be displayed with respect to the driver overlapped with the scenery.

Abstract: The present disclosure provides methods and systems for propeller balancing of an aircraft comprising a propeller. Acceleration data is obtained from an acceleration sensor coupled to the aircraft. The acceleration data is filtered using a filter to obtain propeller-specific vibration data, the filter defining a range of acceptable frequencies associated with a frequency of rotation of the propeller. The propeller-specific vibration data is compared to trend data associated with the propeller. When the propeller-specific vibration data differs from the trend data beyond a predetermined threshold, an alert indicative of a balancing need for the propeller is issued.

Abstract: A steering control method and apparatus of a motor-driven power steering system, ma include setting, by a controller, a virtual steering model including a reaction force apparatus provided between a steering wheel and a rack gear; inducing, by the controller, a state equation for the virtual steering model, the state equation representing momentum of the steering wheel, the reaction force apparatus, and the rack gear as state variables of the state equation; determining, by the controller, target steering torque acting in the reaction force apparatus through numerical integration of the state equation; and feedback-controlling, by the controller, a steering motor control amount to the motor-driven power steering system to bring a steering torque of the motor-driven power steering system into agreement with the target steering torque.

Abstract: In an embodiment, a method includes: collecting usage and maintenance data for a rotorcraft at a computer of the rotorcraft; sending the usage and maintenance data to a fleet management server; generating individualized equipment data for the rotorcraft according to the usage and maintenance data at the fleet management server, the individualized equipment data including a lightweight digital representation of the rotorcraft and technical publications for the rotorcraft, the lightweight digital representation including mesh-based 3D visualizations of each component of the rotorcraft, the technical publications having views referencing the mesh-based 3D visualizations; sending the individualized equipment data to the computer of the rotorcraft; and persisting the individualized equipment data at the computer of the rotorcraft.

Abstract: In an autonomous mobile apparatus, a processor acquires map information including positional information of an obstacle, plans, based on the acquired map information, a shape of the autonomous mobile apparatus and a traveling path of the autonomous mobile apparatus to avoid contact between the autonomous mobile apparatus and the obstacle when the autonomous mobile apparatus is traveling along the traveling path, and causes the autonomous mobile apparatus to autonomously travel along the planned traveling path while assuming the planned shape.

Abstract: A method for vehicle tracking and localization includes receiving, by a controller, odometry data from a sensor of the first vehicle; geospatial data from a Global Positioning System (GPS) device of the first vehicle; inertial data from an inertial measurement unit (IMU) of the first vehicle; estimating an estimated-current location of the first vehicle and an estimated-current trajectory of the first vehicle using the odometry data from the sensor, the geospatial data from the GPS device, and the inertial data from the IMU of the first vehicle; inputting the inertial data into a Bayesian Network to determine a predicted location of the first vehicle and a predicted trajectory of the first vehicle, and updating the Bayesian Network using the estimated-current location and the estimated-current trajectory of the first vehicle using the odometry data and the geospatial data.

Abstract: Methods and apparatus to determine a predicted wait time at a commercial point-of-interest for an estimated time-of-arrival are disclosed. An example method includes determining an estimated time-of-arrival of a vehicle at a commercial point-of-interest and obtaining current wait-time data and historical wait-time data for the estimated time-of-arrival for the commercial point-of-interest. The example method includes determining, via a processor, a predicted wait time for the estimated time-of-arrival based on the current wait-time data and the historical wait-time data and communicating the predicted wait time to a user interface of the vehicle.

Abstract: Aspects of the present disclosure relate to redirection of autonomous vehicles. Communication is initiated between a master node and an autonomous vehicle. A location of a new lane is then received from the master node, the new lane comprised of a plurality of lane nodes. Communication is then initiated between the plurality of lane nodes and the autonomous vehicle. The autonomous vehicle is then guided through the new lane by the plurality of lane nodes.

Abstract: A drive system of a hybrid vehicle including an internal combustion engine, a first motor-generator, a second motor-generator, a planetary gear mechanism provided in a power transmission path, a clutch mechanism engaging or disengaging a sun gear and ring gear of the planetary gear mechanism, and a microprocessor controlling the clutch mechanism. The microprocessor is configured to determine whether it is necessary to perform a meshing position shifting control for shifting meshing positions of the sun gear and the planetary gear and of the planetary gear and the ring gear, and temporarily disengage the clutch mechanism so as to shift the meshing positions when it is determined that it is necessary to perform the meshing position shifting control while the clutch mechanism is engaged.

Abstract: An autonomous vehicle includes a passenger cabin, a sensor group and a passenger cabin climate control system including a control module. The sensor group includes a passenger cabin odor sensor, an occupancy sensor and a vehicle speed sensor. The control module has a control logic adapted to purge an odor from the passenger cabin in response to data received from the sensor group indicating the presence of an odor in the passenger cabin, an unoccupied passenger cabin and the autonomous vehicle is moving at a minimum predetermined speed for a minimum predetermined time.

Abstract: A method for determining navigation information of a second road user using a computing unit of a first road user, wherein the first road user receives navigation information of the second road user, wherein the computing unit of the first road user corrects the received navigation information using correction information, wherein the correction information corresponding to a position of the second road user is obtained from a digital map. A corresponding device and to use thereof in a vehicle is also disclosed.

Abstract: A system and method which uses pattern recognition in assessing or monitoring a vehicle status and/or an operator's driving behavior. A vehicle, for use by an operator or driver, can be equipped with a data collection and assessment system. The system can comprise one or more data collection devices, e.g., accelerometers, which can be used to capture data and information, or otherwise measure vehicle actions. A pattern recognition module is configured with one or more defined operating patterns, each of which operating patterns reflects either a known change in vehicle status corresponding to, e.g., when a passenger has embarked or disembarked the vehicle, or a known vehicle operating or driving behavior. Information collected as events describing a current vehicle status or a current driving behavior can be compared with the known operating patterns.

Abstract: An object of the present invention is to provide a suspension control apparatus allowing a vehicle state to be easily estimated with use of a vehicle height sensor. A controller 11 includes an external force estimation portion 31, which calculates an external force applied to a vehicle body from a displacement calculated from a vehicle height sensor 10, a vertical force calculation portion 32A, which calculates a vertical force of the vehicle body 1 from the calculated external force, a sprung acceleration calculation portion 32B, which calculates an acceleration from the calculated vertical force, a filter portion 32C, which estimates a sprung speed of the vehicle body 1 from the calculated acceleration, and a damping characteristic determination portion 14, which acquires a damping characteristic based on the estimated sprung speed.

Abstract: A control system for an agricultural working machine has a control device which is connected, in terms of signals, to a display unit, a ground speed control lever, and a control panel, wherein at least the ground speed control lever comprises multiple control elements. The display unit is designed as a touch-sensitive screen including one or multiple visualization panes and several virtual control elements. A preferred quick-select function—from a plurality of different quick-select functions for adjusting a performance parameter of the working machine—is assigned to one of the control elements of the display unit, of the ground speed control lever, and of the control panel, the performance parameter being depictable with the aid of the display unit upon activation. The quick-select function can be activated with the aid of the display unit, and/or the ground speed control lever, and/or the control element.

Abstract: An apparatus, method and computer readable medium, the method comprising: obtaining raw maritime data from a plurality of sources, the raw maritime data indicative of a geolocation of vessels at different times and comprises duplicative data obtained from separate sources; analyzing the raw maritime data to produce for each vessel a vessel story comprising a set of activities and corresponding timestamps, wherein the set of activities associated with each vessel is smaller by at least one order of magnitude than the raw maritime data associated with the each vessel; identifying a pattern in the vessel story associated with a vessel, wherein the pattern conforms with a risk event; and validating the risk event using the raw maritime data or vessel stories, whereby identifying the risk event using reduced resources than required to identify the risk event in the raw maritime data, and without increasing false positive metrics.

Abstract: Disclosed is a driver assistance apparatus for a vehicle, the apparatus including: a camera configured to acquire a front field-of-view image of the vehicle; an output unit; and a processor configured to detect at least one traffic sign based on the front field-of-view image of the vehicle, determine whether the traffic sign fits travel information of the vehicle, and, when the traffic sign fits the vehicle travel information, perform control to output the traffic sign through the output unit.

Abstract: A system for monitoring operation of a vehicle includes a processing device including an interface configured to receive measurement data from sensing devices configured to measure parameters of a vehicle system. The processing device is configured to receive measurement data from each of the plurality of sensing devices, and in response to detection of a malfunction in the vehicle, input at least a subset of the measurement data to a machine learning classifier associated with a vehicle subsystem, the classifier configured to define a class associated with normal operation of the vehicle subsystem. The processing device is also configured to determine whether the subset of the measurement data belongs to the class, and based on at least a selected amount of the subset of the measurement data being outside of the class, output a fault indication, the fault indication identifying the vehicle subsystem as having a contribution to the malfunction.

Abstract: A method for controlling a work vehicle towing an agricultural implement across a field during a tillage operation includes receiving one or more soil compaction parameters of the field, the work vehicle, and/or the implement. The method also includes determining one or more soil compaction levels for the field based on the one or more soil compaction parameters. Further, the method includes determining an estimated yield loss for each location in the field based on the one or more soil compaction levels. Moreover, the method includes generating a prescription map for the field based on the estimated yield loss for each location in the field. In addition, the method includes actively adjusting at least one tillage parameter of at least one of the implement or the work vehicle based on the prescription map during the tillage operation to reduce an actual yield loss of the field.