Abstract: In some examples, a data processing system can be configured to mount on a vehicle and configured to receive sensor data from a sensor on the vehicle, wherein the sensor data indicates a contamination level of a supply air for the vehicle; receive context data from another system on the vehicle; and generate a recommended maintenance item to be performed on the vehicle based on the sensor data and further based on the context data.

Abstract: Provided is a system which can avoid instability of an operating state of a working machine, when switching a remote operation actor of the working machine. In a case where a state of one or both of a working machine 40 or a first operator is a specified state when the working machine 40 is remotely operated through a first remote operation apparatus 10, a first notification corresponding to the specified state is transmitted to a remote operation server 30. In the remote operation server 30, a second remote operation apparatus 20 which is appropriate in view of content of the first notification is selected as the remote operation actor of the working machine 40.

Abstract: A controller controls a first drive source and a second drive source based on a moving speed of a motor grader measured by a speed sensor and a turning angular velocity of the motor grader measured by an IMU, to thereby independently control a rotation speed of each of a right front wheel and a left front wheel.

Abstract: The disclosure relates to a safety system for a battery electric vehicle (BEV) that comprises one or more electromotors powered by a battery system, wherein the safety system allows a “limp home mode” to be activated. The disclosure further relates to a battery electric vehicle provided with such a safety system. The battery system of the electric vehicle preferably is the sole power supply of the vehicle for powering the one or more electromotors for a prolonged period of time, e.g. a period of time greater than 10 minutes.

Abstract: A controller (100) for a vehicle (1), the vehicle comprising: a powertrain (1P) comprising an electric machine (50) for providing motive power; cooling means (60, 80); and electrical energy storage means (70) for powering the electric machine (50), wherein the cooling means (60, 80) is configured to cool the electrical energy storage means (70) and a cabin (1C) of the vehicle and the vehicle (1) is configured to operate in a first or second driving mode, the controller (100) comprising: an input for receiving information indicative of a temperature of the energy storage means (70); and a processor arranged to generate a control signal in dependence on the information indicative of temperature of the energy storage means (70) and information indicative of the selected driving mode of the vehicle, wherein: if the vehicle is in the first driving mode the processor is configured to generate the control signal to limit or reduce an amount of power consumed by the powertrain (1P) in dependence on the information

Abstract: In some examples, a computing device is configured to monitor an air quality of a vehicle cabin by at least receiving, from a plurality of remote sensors distributed throughout the cabin, signals indicative of one or more air quality parameters for air in the cabin. Based on the received signals, the computing device can determine if values for the one or more air quality parameters are indicative of an air quality event and generate an output in response to such a determination. The output may include, for example, an audio or visual indication of the air quality event or a signal to control another system of the aircraft to take action to remedy the air quality event.

Abstract: Systems and methods for calibrating a synthetic image on an avionic display. The method includes receiving a synthetic image frame generated by an avionic display system and a sensor image frame from a forward-facing onboard sensor system. Object recognition is performed on the sensor image frame to generate a first search region for a first Federal Aviation Administration (FAA) marking, defined as a first search region-FAA marking pair. The sensor image frame and the first search region-FAA marking pair are processed using a deep learning method (DLM) to determine for the first FAA marking of the first search region-FAA marking pair, each of: a position deviation calculation, an orientation deviation calculation, and a synthetic image distortion factor. The synthetic image frame is then updated and rendered in accordance with the position deviation calculation, the orientation deviation calculation, and the synthetic image distortion factor, thereby calibrating the synthetic image frame.

Abstract: Disclosed herein are an apparatus and method for monitoring a surrounding environment of a vehicle, the apparatus including a sensor unit including a plurality of detection sensors for detecting an object outside a vehicle according to a frame at a predefined period, and a controller configured to extract a stationary object from among the outside objects detected by the sensor unit, to map the extracted stationary object to a grid map, to calculate an occupancy probability parameter, indicative of a probability that the stationary object will be located on a grid of the grid map, from the result of mapping, and to monitor the surrounding environment of the vehicle by specifying a grid on which the stationary object is located in the grid map, based on the occupancy probability parameter.

Abstract: A driving assistance apparatus according to an embodiment includes a vehicle height adjusting mechanism that adjusts vehicle height of a vehicle; a progress parameter acquiring unit that acquires a progress parameter expressing a degree of progression until the vehicle reaches a target object in front of the vehicle; and a control section that controls the vehicle height adjusting mechanism based on the progress parameter.

Abstract: A method of localizing a host member through sensor fusion includes capturing an input image with one or more optical sensors disposed on the host member and determining a location of the host member through a global positioning system (GPS) input. The method tracks movement of the host member through an inertial measurement unit (IMU) input, generates coordinates for the host member from the GPS input and the IMU input. The method compares the input image and a high definition (HD) map input to verify distances from the host member to predetermined objects within the input image and within the HD map input. The method continuously localizes the host member by fusing the GPS input, the IMU input, the input image, and the HD map input.

Abstract: A work machine 10 includes: a load detection unit 22a that detects a load on an operation mechanism 100; information output devices 43, 44, and 41a that output at least one of an image, a sound, and a vibration to an operator; and a control unit 47a that controls, according to the magnitude of a load detected by the load detection unit 22a, one or more of the level of at least one of the color intensity, the brightness, and the transparency of an image output by the information output device 44, at least one of the intensity and the level of frequency of a sound output by the information output device 43, and at least one of the intensity and the level of frequency of a vibration output by the information output device 41a.

Abstract: A method for controlling a vertical take-off and landing multirotor aircraft and a multirotor aircraft using the controller.

Abstract: The disclosure relates generally to an in-vehicle feedback system, and more particularly, to an in-vehicle device with a display or graphical interface that collects driving data and provides feedback based on the driving data. The system may comprise an in-vehicle device that includes a graphical user interface and a processor and a data collection device wirelessly connected to the in-vehicle device. The in-vehicle device may be configured to receive vehicle telematics data from the data collection device and the processor may process the telematics data in real time and cause the telematics data to be displayed on the graphical user interface. The graphical user interface may include a speed display and an acceleration display.

Abstract: A method for automatic adjustment of the performance of a vehicle may include detecting at least one significant physical quantity for checking the performance of the vehicle; defining at least one pair of reference indicators correlated with that physical quantity; saving at least one value of a said reference indicator in a predetermined nominal reference condition; detecting at least one value of a said reference indicator in a real operating condition of the vehicle; comparing said nominal reference indicator and real reference indicator and, if their values are different from each other, and implementing a correction of the driving power of the vehicle to compensate for the difference ascertained.

Abstract: A closed leveling system for a vehicle includes a suspension system having a number of corners, and each corner includes at least one strut to be coupled to at least one wheel of the vehicle. The closed leveling system also includes a sensor and a master controller in communication with the sensor. The master controller includes a memory device including computer-readable instructions, and a processor in communication with the memory device. The leveling system also includes a power module assembly including a reservoir containing compressible liquid, a pump configured to withdraw the compressible liquid from the reservoir, a dump valve configured to transfer the compressible liquid into the reservoir, and isolation valves. Each isolation valve is associated with at least one corner. The leveling system further includes secondary volumes in selective fluid communication with the reservoir. Each secondary volume is associated with one isolation valve and at least one corner.

Abstract: An electric drive system includes a controller and an inverter having a switch and a current sensor. The controller reduces power output of the inverter while a sensed temperature of the switch, a sensed current from the inverter, and parameter values of the current sensor are indicative of a predicted temperature of the current sensor being greater than a threshold to maintain inverter temperature lower than the threshold. The parameter values are obtainable from a thermal model of the current sensor. The thermal model is derived from testing a test version of the inverter under different drive cycles in which for each drive cycle a set of information is recorded including a sensed temperature of a switch of the inverter test version, a sensed current output from the inverter test version, and a sensed temperature of a current sensor of the inverter test version.

Abstract: A device for monitoring a state of a propulsion engine includes an acquisition module that acquires data of flights of the propulsion engine, comprising, for each flight, values of input variables, environment variables, and output variables of the propulsion engine during the flight, a learning module that computes, by learning from the data of each flight, an individual flight model for the flight, a using module that computes, for each flight, estimates of the values of the output variables, by applying the individual flight model to reference values of the input variables and the environment variables, and an error associated with the estimates of the values of the output variables that is obtained by applying the individual flight model to the reference values of the input variables and the environment variables. The reference values belong to a set of reference data, which are identical for the individual flight models.

Abstract: The controller of the electric vehicle is configured to control the torque of the electric motor using the MT vehicle model based on the operation amount of the accelerator pedal, the operation amount of the pseudo-clutch pedal, and the shift position of the pseudo-shifter. The electric vehicle also includes a shift reaction force generator that generates a shift reaction force in response to the operation of the pseudo-shifter using by the operating of the reaction force actuator. The controller is configured to store the shift reaction force characteristic simulating the characteristic of the shift reaction force according to the operation of the shifter. Then, the controller is configured to control the shift reaction force output by the shift reaction force generator according to the operation of the pseudo-shifter using the stored shift reaction force characteristic.

Abstract: Being unable to restart when it collides with an object or crashes, an unmanned aerial vehicle, control system thereof and control program, for preventing damage caused by uncontrollable restarts and crashes is provided. The unmanned aerial vehicle includes a plurality of rotating bodies, a plurality of motors individually driving and rotating the plurality of rotating bodies, and a flight controller individually controlling the plurality of motors. The flight controller includes a collision/crash detection unit detecting collision or crash on the basis of a signal from a sensor, and a power cut-off command unit cutting off a power supply on the basis of a detection signal from the collision/crash detection unit.

Abstract: A harvester implement includes a traction unit and a harvester head having a first lateral edge and a second lateral edge. A controller determines a first ground speed of the first lateral edge and a second ground speed of the second lateral edge. The controller may then determine if either the first ground speed or the second ground speed is greater than a maximum allowable harvest speed, such as may occur when executing a turn. When one of the first ground speed or the second ground speed of the harvester head is greater than the maximum allowable harvest speed, the controller may then control a drive system of the traction unit to decrease the ground speed from an initial traction unit ground speed to a reduced traction unit ground speed so that both the first and second lateral edges of the harvester head stay below the maximum allowable harvest speed.