Abstract: An aircraft and a method for operating the same may include, but is not limited to, a flight management system, a vertical situation display, and a processor configured to determine a first variable, a second variable and a third variable, determine flight plan data for the first, second and third variables, generate display data for the vertical situation display, the display data including the scale of the first second and third variables and a vector corresponding to the flight plan data of the first variable and second variable scaled to the first scale and the second scale, wherein the scale of the third variable is non-linear and varies based upon the flight plan data corresponding to the third variable relative to the vector, and output the generated display data to the vertical situation display for display on the vertical situation display.

Abstract: A server system is provided that includes one or more processors configured to receive an intra-route navigation error package including a plurality of route context data from a user computer device. The intra-route navigation error package indicates that a navigation error occurred at a geospatial location. The one or more processors are further configured to send, to the user computing device, a detailed feedback package configured to cause the user computer device to display a feedback interface at a later point in time when a user of the user computer device is not traveling. The detailed feedback package includes a route context determined based on the plurality of route context data and configured to be presented to the user via the feedback interface. The one or more processors are further configured to determine a map correction for a map database based on user input of detailed feedback.

Abstract: A method and system for controlling a vehicle along a curved roadway, including receiving vehicle sensed data relating to vehicle operation and/or vehicle position and orientation; identifying first and second lane markers from the sensed data; determining a reference path for the vehicle using the lane markers; calculating a feed-forward control output based upon the curvature of the lane markers; calculating a lateral position of the vehicle relative to the reference path, and a lateral position error based upon the lateral position; and calculating a vehicle heading angle based upon the vehicle sensed data, and a heading angle error. A feedback control output is calculated using a nonlinear control function based upon the lateral position error, the heading angle error, and the sensed velocity. A steering control output is generated for steering the vehicle, based upon the feed-forward control output and the feedback control output.

Abstract: An autonomous vehicle is described herein. The autonomous vehicle includes a lidar sensor system. The autonomous vehicle additionally includes a computing system that executes a lidar segmentation system, wherein the lidar segmentation system is configured to identify objects that are in proximity to the autonomous vehicle based upon output of the lidar sensor system. The computing system further includes a deep neural network (DNN), where the lidar segmentation system identifies the objects in proximity to the autonomous vehicle based upon output of the DNN.

Abstract: A multi-function radio frequency (MFRF) system may deploy groups of small or micro-sized unmanned aircraft systems (UAS) to achieve various MFRF functions and mission objectives. Each member UAS may incorporate structurally integrated/embedded, conformal/appliqué, or mechanically deployable antenna elements, or may utilize characteristic mode transducers to excite conductive exterior surfaces of the UAS, such that each UAS may maximize its limited size or surface area to emit MFRF radiation according to a variety of MFRF operating modes. Member UAS may be fashioned by three-dimensional additive manufacturing (3DAM) techniques. Each UAS may coordinate their positioning and MFRF emissions with other member UAS to collectively form synthetic apertures and swarms capable of MFRF functionalities not achievable by a single UAS. UAS swarms may form new subswarms or dynamically reconfigure depending on changing mission objectives or battlefield conditions.

Abstract: A powertrain optimization method is used to identify the optimal torque operating range. The method for controlling the vehicle includes: receiving, by a planning controller, a trip plan based on an input from a vehicle-operator, wherein the trip plan is indicative of a planned trip; determining, by the planning controller, a current location of the vehicle using a Global Navigation Satellite System (GNSS) of the vehicle; determining, by the planning controller, a geography of the planned trip using map data from a map database; determining, by the planning controller, a target speed profile for the vehicle as a function of the trip plan, the geography of the planned trip, and a predetermined, optimal acceleration range; determining, by an adaptive cruise controller, a torque request as a function of the target speed profile, a predetermined-optimal torque range, and a current speed of the vehicle.

Abstract: An apparatus including a processor and memory having computer program code, the memory and computer program code configured to, with the processor, enable the apparatus at least to: use a classification model to identify one or more anomalies between a monitored trajectory of a vehicle through a road network and predefined map data for the road network which are likely caused by errors in the predefined map data; and provide details of the one or more identified anomalies for use in obtaining additional data for the specific locations on the road network corresponding to the one or more identified anomalies in order to correct the errors in the predefined map data.

Abstract: This disclosure involves improved route recommendation in map service. A computer-implemented method comprises identifying at least one intermediate point for traveling from an origin to a destination based on a user input. The method further comprises determining one or more first recommended routes from the origin to the destination via the at least one intermediate point. The method further comprises determining one or more second recommended routes from the origin to the destination without considering the at least one intermediate point. The method further comprises in response to at least one of the first recommended routes being better than the second recommended routes, storing the at least one intermediate point associated with the origin and the destination.

Abstract: Systems and methods for lane change prediction, detection, and/or confirmation. In some embodiments, a vehicle yaw rate associated with a vehicle may be detected and a set of vehicle yaw rate data may be generated. A steering angle associated with the vehicle may also be detected and a set of vehicle steering angle data generated. A first filter model may be used to process the vehicle yaw rate data. The vehicle steering angle data may be used to confirm a suspected lane change. A parameter threshold may be applied to the processed vehicle yaw rate data and, upon exceeding the parameter threshold and upon confirmation of the suspected lane change from the vehicle steering angle date, a parameter of a lane change assist system of the vehicle may be adjusted.

Abstract: A wireless navigation system with automatic guidance to the final destination/routes capable of operating in Internet-dead zones includes a system of servers containing data of final destinations/routes, Google and/or Apple Maps API, a voice synthesizer server, a GPS/AGPS system of satellites, servers and processing stations, a set of sensors, a microprocessor, a standard mobile operating system, a supra operating system controlling the above systems and a display and sound system for displaying the final output of the system.

Abstract: An electrically powered work vehicle includes a left driving wheel and a right driving wheel that are supported to a vehicle body, a left motor for driving the left driving wheel and a right motor for driving the right driving wheel, a steering wheel, an acceleration operation tool, a turning command calculation section for calculating a turning command based on a steering operation amount of the steering wheel, a turning torque calculation section for calculating a turning torque based on the turning command, a vehicle speed command calculation section for calculating a vehicle speed command based on an acceleration operation amount of the acceleration operation tool, a vehicle speed torque calculation section for calculating a vehicle speed torque based on the vehicle speed command, and a speed command calculation section for calculating a left motor speed command and a right motor speed command based on the turning torque and the vehicle speed torque.

Abstract: A parking assistance method provides parking assistance when parking a vehicle in a parking space equipped with a ground coil for supplying electric power via a wireless connection to a vehicle coil mounted on the vehicle, at least two ground marks indicating a position of the ground coil, and a parking frame. The parking assistance method switches from a bird's-eye image including the vehicle and a circumference of the vehicle as viewed from above the vehicle to an enlarged image showing a relative position between the ground coil and the vehicle coil on a larger scale than the bird's-eye image when an absolute value of a relative angle between a longitudinal direction of the parking frame and a front-rear direction of the vehicle is a predetermined value or smaller.

Abstract: A vehicle air-conditioning device is provided for controlling a vehicle air-conditioning of a vehicle in accordance with a control method. The air-conditioning compressor is stopped for a first time period after a brake pedal transitions from an operated state to a non-operated state when negative pressure inside a vacuum servo is insufficient relative to a predetermined pressure while an air-conditioning compressor is operating, and The air-conditioning compressor is stopped for a second time period after the acceleration pedal has come to be in a non-operated state when an acceleration pedal is operated before the first time period elapses.

Abstract: The present invention relates to a self-moving device moving and working in a work area defined by a border, includes: a housing; a moving module, mounted in the housing, and driven by a drive motor to drive the self-moving device to move; a control module, controlling the self-moving device to move and work; a satellite navigation device, receiving a satellite signal; at least one position sensor, detecting a feature related to a position of the self-moving device; and a fusion processing unit comprising at least two inputs, one is the satellite signal, and the other is an output of the position sensor; the fusion processing unit performs operation on the satellite signal and the output of the position sensor, and outputs position information of the self-moving device; and the control module controls the moving module to drive the self-moving device to move based on the position information.

Abstract: Technical solutions are described for providing driver warning using steering systems. An example steering system includes a motor control system that sends a command to a motor. The steering system further includes a fault monitoring system that sets a fault indication flag by monitoring one or more components of the steering system. The steering system further includes a driver warning feedback system that generates a warning injection signal based on and in response to the fault indication flag being set. Further, the motor control system generates a driver feedback by modifying the command to the motor using the warning injection signal, and sending the modified command to the motor.

Abstract: Methods, apparatus, systems, and computer-readable media are provided for selective robot deployment. In various implementations, a context of a user may be determined based at least in part on a record of one or more computing interactions associated with the user. In various implementations, a robot-performable task of the user may be identified based at least in part on the context. In various implementations, a measure of potential or actual interest of the user in deploying a robot to perform the robot-performable task may be determined. In various embodiments, the robot may be selectively deployed based on the measure of potential or actual interest.

Abstract: Methods and systems for controlling motion of a vehicle. Sensor data is obtained, representing an environment of the vehicle. A reference control trajectory is corrected, using one or more virtual forces, to provide a desired trajectory. The one or more virtual forces are generated by applying an impedance scheme to the sensor data. A desired trajectory is outputted for controlling the vehicle.

Abstract: A method and system for automatically supplying parts for an assembly line is provided. The method includes generating and executing an action plan specifying movements associated with a robotic apparatus associated with the assembly line, items required for the assembly line, and a vehicle associated with providing the items for the robotic apparatus. The vehicle is directed to a location comprising the items and a first item is selected and retrieved upon arriving at the location. A measured weight of the first item is compared to a predetermined maximum weight threshold for delivery by the vehicle and a resulting delivery process with respect to the vehicle, first item, and robotic apparatus is executed. A notification indicating details associated with the delivery process is transmitted to the robotic apparatus.

Abstract: An apparatus for activating a pedestrian detection and collision mitigation system (PDCMS) of a vehicle includes: a front detection sensor detecting a presence of a pedestrian on a driving lane of the vehicle, gaze information of the pedestrian, and a distance and a relative speed between the pedestrian and the vehicle; a vehicle sensor detecting at least any one of a speed, an acceleration, a steering angle, a steering angular velocity, and a pressure of a master cylinder of the vehicle; an electronic control unit activating a PDCMS function based on information detected by the front detection sensor and the vehicle sensor; and a warning unit operated to inform a driver of a collision of the pedestrian with the vehicle by a control of the electronic control unit.

Abstract: Multivariate position estimation can be performed to provide a position estimate of a moving object. The multivariate position estimation approach can employ multiple types of information including time of arrival (or time difference of arrival), angle of arrival, Doppler, and/or prior location information in an iterative process to calculate a location estimate that is highly accurate. In particular, the multivariate position estimation approach can employ the statistical quality of each of these types of information to quickly arrive at a highly accurate position estimate within a 3D coordinate system. The multivariate position estimation approach can be implemented in environments where a single receiver is available as well as in environments where multiple receivers exist.