Abstract: In an aspect, this disclosure is related to apparatus and method for optimizing motor performance in an electric vertical takeoff and landing aircraft. Apparatus includes a motor, an inverter, a sensor, and a flight controller. Flight controller is configured to receive an operational datum from a sensor, which detects a physical phenomenon and generates an operational datum. Flight controller is configured to generate an optimized switching frequency for the inverter based on the operational datum. Flight controller is configured to adjust the switching frequency of the inverter based on the optimized switching frequency.

Abstract: An adaptive device includes an transmission assembly and a laser sensor control assembly, where the transmission assembly includes a rotating shaft of a roller, a harvesting part, a motor base plate, a transmission belt of the harvesting part, a transmission shaft of a motor A, motor arms, the high-power motor A, a high-power motor B, a transmission shaft of the motor B, a transmission belt of the roller, and a rotating shaft of the harvesting part; and the laser sensor control assembly includes the motor base plate, upright lifting columns, a control base plate, a battery, a power distribution board, a voltage reduction module, electronic speed controllers, a main control board, a low-power motor, a laser sensor base plate, a laser sensor, tube clamps, a rotating shaft of the laser sensor, and a bearing for stabilizing the rotating shaft of the laser sensor.

Abstract: A paving machine can include a frame; a screed coupled to the frame; and the screed including a main screed plate and an extender screed plate, each of the main screed plate and the extender screed plate having an angle sensor associated therewith, the angle sensor for each of the main screed plate and the extender screed plate being positioned and configured to determine a paving angle of the main screed plate and the extender screed plate; and a controller, the controller configured to receive the paving angles of the main screed plate and the extender screed plate from the angle sensors and to change the paving angle of the main screed plate and the paving angle of the extender screed plate independently of each other.

Abstract: A surrounding situation information acquisition device acquires surrounding situation information of a vehicle. A steering angle sensor detects a steering angle and a steering direction of the vehicle. A steering assist controller executes traveling control involving steering assist control based on information output from the surrounding situation information acquisition device and information output from the steering angle sensor. The steering assist controller recognizes, based on the information output from the surrounding situation information acquisition device, an oncoming vehicle in an oncoming lane adjacent to a traveling lane of the vehicle and an avoidance target on a road shoulder side of the traveling lane of the vehicle, estimates an avoidance priority level of the oncoming vehicle and an avoidance priority level of the avoidance target, and sets a new target lane keeping traveling path of the vehicle based on the avoidance priority levels.

Abstract: In one embodiment, a system includes one or more vehicle sensors for capturing host data and a processor having modules. The data receiving module identifies one or more proximate vehicles within the environment based on one or more of the host data and proximate data received from the one or more proximate vehicles. The motion prediction module generates a first joint uncertainty distribution based on an initial joint uncertainty model and a host model distribution. The motion prediction module also samples host kinematic predictions based on the first joint uncertainty distribution and the host data. The object localization module generates a second joint uncertainty distribution based on the initial joint uncertainty model and an object prediction model distribution. The object localization module also samples proximate kinematic predictions based on the second joint uncertainty distribution and the proximate data.

Abstract: A method and system for developing a flight plan for taking images from an area of interest is disclosed. A series of trajectories is determined. Each trajectory is determined based on a logarithmic spiral curve derived from a range of predetermined basis angles and selecting a constant tangent angle between a radial line from the location of an image sensor to a target location, and a tangent line to the logarithmic spiral curve at the location of the image sensor. A set of trajectories from the series of trajectories is selected. The selected trajectories are scaled to cover the area of interest. The selected trajectories are transformed to coordinates corresponding to the area of interest. The set of scaled and transformed trajectories are stored as the flight plan for taking images of the area of interest.

Abstract: A proximity detection system for facilitating charging of electric aircraft. The proximity detection system includes at least a computing device. The at least a computing device is configured to receive a detection datum from at least a sensor, determine a proximal element as a function of the detection datum, and communicate a notification as a function of the proximal element to at least one of the electric aircraft and a charging structure. The detection datum includes information on at least one of the electric aircraft and the charging structure. The proximal element includes information on a spacing between the electric aircraft and the charging structure. A proximity detection method for facilitating charging of an electric aircraft is also provided.

Abstract: A method includes: obtaining a number of vehicles passing a driving road segment within a duration; determining whether the driving road segment is a sparse road segment by determining whether the number of vehicles is less than or equal to a vehicle threshold; obtaining first real-time driving data transmitted by a first vehicle the target road segment, and obtaining first driving characteristic-information of the target road segment based on the first real-time driving data; obtaining second real-time driving data transmitted by a second vehicle passing a topology road segment, and obtaining second driving characteristic-information of the target road segment based on the second real-time driving data, the topology road segment being a road segment within a target range of the target road segment; and generating road-condition information of the target road based on at least the second driving characteristic-information.

Abstract: A management system includes a course data generation unit that generates course data for each of a plurality of unmanned vehicles such that loading work for the plurality of unmanned vehicles by a loader is sequentially performed on a work site where a plurality of the loaders operates; and a priority determination unit that determine a passage order at an intersection on the work site of the plurality of unmanned vehicles traveling according to the course data so as to reduce a total loading loss indicating a total of loss amounts in operation of each of the plurality of the loaders.

Abstract: Methods and systems of estimating an end of life of a rechargeable energy storage device in an energy storage system is disclosed. The system includes at least a motor, the energy storage device associated with the motor, a processing unit associated with the energy storage device, and at least one sensor operatively coupled with the processing unit and the energy storage device. The method includes measuring a most recent state of health (SOH) of the energy storage device after the system is started, storing the most recent SOH with at least one previously measured SOH, calculating a new replace-by date of the energy storage device based on the most recent SOH and the at least one previously measured SOH, and replacing a previously calculated old replace-by date with the new replace-by date, the new replace-by date being the same as or shorter than the old replace-by date.

Abstract: The subject matter of this specification relates to a light detection and ranging (LiDAR) device that comprises, in some implementations, a pulsed-laser source configured to generate a pulsed optical signal, a continuous wave (CW) laser source configured to generate a CW optical signal, one or more optical amplifier circuits configured to amplify at least the pulsed optical signal, a combiner configured to combine the pulsed optical signal and the CW optical signal into a hybrid transmission signal, and at least one photodetector configured to receive a reflection signal produced by reflection of the hybrid transmission signal by a target.

Abstract: A seat control device controls an electric seat in which a seat portion is moved by a predetermined distance by a first motor and a backrest is tilted by a predetermined angle by a second motor. The seat control device includes: a pinching detecting unit that detects an object being pinched between seats due to a movement of the seat portion based on a rotational state of the first motor and a predetermined threshold value. The threshold value is a threshold value that changes according to a tilt angle of the backrest such that pinching is easily detected as the tilt angle of the backrest increases.

Abstract: A display device, a display control method, and a non-transitory computer-readable recording medium are disclosed. The display device of an embodiment is mounted on a vehicle and includes: a display part; and a display controller displaying a first image showing a speed range controllable by a driving controller that controls a speed of the vehicle to a constant speed, a second image showing a target vehicle speed of the vehicle, and a third image showing the speed of the vehicle on the display part. The display controller displays the second image in association with an upper limit or a lower limit of the first image on the display part when the speed of the vehicle deviates from the speed range.

Abstract: Examples described herein provide a computer-implemented method that includes includes receiving, by a processing device of a vehicle, first road data. The method further includes receiving, by the processing device of the vehicle, second road data from a sensor associated with the vehicle. The method further includes identifying, by the processing device of the vehicle, an object based at least in part on the first road data and the second road data. The method further includes causing, by the processing device of the vehicle, the object to be illuminated.

Abstract: A method for estimating a position of a trailer relative to a truck of a road train includes providing or obtaining a kinematic model of the road train, providing or obtaining a length estimation of the trailer, and measuring an articulation angle between the truck and the trailer. The method further includes determining a position of the trailer relative to the truck using the kinematic model, the length estimation, and the measured articulation angle.

Abstract: A ground-based vectored thrust system for landings and take-off of vertical take-off and landing (VTOL) aircraft. The vectored thrust system provides an upward thrust on the VTOL aircraft when in proximity to the pad. The upward thrust can supplement the thrust system of the VTOL aircraft, or can be used exclusively to elevate the VTOL aircraft. A control unit can control one or more of the components of the vectored thrust system. The control unit can also be configured to take-over the flight of the VTOL aircraft when it is within a predetermined flight envelope of the pad.

Abstract: A controller and a control method capable of appropriately stabilizing behavior of a rear wheel of a straddle-type vehicle. In the controller and the control method, a slip amount of a wheel of a straddle-type vehicle is controlled to be equal to or smaller than an allowable slip amount. In the case where it is determined that behavior of a rear wheel of the straddle-type vehicle is in an unstable state on the basis of a slip angle of the straddle-type vehicle, stabilization control is executed to reduce the allowable slip amount of the rear wheel to be smaller than the allowable slip amount of the rear wheel at the time when it is determined that the behavior of the rear wheel is in the stable state.

Abstract: A method for parking control is provided in the present application, which includes the following steps: determining whether a single-pedal mode is activated; determining whether conditions for deceleration control are met when the single-pedal mode is activated; controlling the new-energy vehicle to decelerate when the conditions for deceleration control are met; determining whether conditions for sending a brake request to a motor controller are met during a process of controlling the new-energy vehicle to decelerate; sending the brake request to the motor controller when the conditions for sending a brake request to the motor controller are met; and sending a parking request to an electronic handbrake when the new-energy vehicle is in the brake mode and the speed of the new-energy vehicle is smaller than the third preset value for a third preset time, enable the new-energy vehicle to enter in a parking mode.

Abstract: A measurement device includes a substrate having accommodations with an emerging opening in which sensors are provided, the substrate including a cavity with a flexible printed circuit. The device is installed on a surface to characterize a fluid flow at this surface. The circuit uses hierarchized buses comprising two data communication buses emerging at the two longitudinal ends of the substrate and an internal data acquisition bus, the bus linking control circuits, each control circuit being connected to one of the communication buses, the sensors being connected to the bus in a distributed fashion on either side of each control circuit. The data from the sensors can be transmitted to the two surrounding circuits and may be acquired if one of them is faulty.

Abstract: A system and a method for autonomous decisioning and operation by an autonomous agent includes: collecting decisioning data including: collecting a first stream of data includes observation data obtained by onboard sensors of the autonomous agent, wherein each of the onboard sensors is physically arranged on the autonomous agent; collecting a second stream of data includes observation data obtained by offboard infrastructure devices, the offboard infrastructure devices being arranged geographically remote from and in an operating environment of the autonomous agent; implementing a decisioning data buffer that includes the first stream of data from the onboard sensors and the second stream of data from the offboard sensors; generating current state data; generating/estimating intent data for each of one or more agents within the operating environment of the autonomous agent; identifying a plurality of candidate behavioral policies; and selecting and executing at least one of the plurality of candidate behavior