According to one aspect, a vehicle includes hardware systems configured to support the autonomous or semi-autonomous operation of the vehicle. Hardware systems may include a main compute, a brain stem computer (BSC), and an aggregator/compute arrangement or redundant autonomy compute. Such hardware systems may cooperate to allow the vehicle to operate autonomously, and typically provide capabilities, e.g., redundant and/or backup capabilities, configured to enable the vehicle to continue to operate in the event that a primary system is not functioning as expected. The aggregator/compute arrangement may further be comprised of two substantially identical modules or computing assemblies, each configured to process sensor data and perform backup autonomy functionalities and/or teleoperations functionalities.

The machine learning device includes a predicting part configured to use a machine learning model to predict predetermined information, an updating part configured to update the machine learning model, and a part information acquiring part configured to detect replacement of a vehicle part and acquire identification information of the vehicle part after replacement. The updating part is configured to receive a new machine learning model trained using training data sets corresponding to the vehicle part after replacement from a server and apply the new machine learning model to the vehicle, if a vehicle part relating to input data of the machine learning model is replaced with a vehicle part of a different configuration.

A power generation controller of an aircraft includes a low-temperature start-up control section and a power generation control section. When it is determined that an oil temperature of a hydraulic actuator configured to change an operation position of a speed change element of a hydraulic transmission satisfies a predetermined low-temperature condition when starting up an aircraft engine, the low-temperature start-up control section sets a power generator to a power non-generating state and controls the hydraulic actuator such that the speed change element is positioned at an acceleration side of a median in a speed change range. When it is determined that the oil temperature satisfies a predetermined low-temperature start-up completion condition, the power generation control section sets the power generator to a power generating state and controls the hydraulic actuator in accordance with a rotational frequency of the aircraft engine.

Systems and methods for iced road conditions and remediation are disclosed herein. A method can include determining an ambient temperature around a vehicle or a road relative to a temperature threshold, determining lateral acceleration of the vehicle due to steering input, determining a slippery condition based on the ambient temperature being below the temperature threshold and the expected lateral acceleration exceeding the measured lateral acceleration by more than a threshold, and selectively adjusting a vehicle operating parameter when the slippery condition is present.

A system includes obtaining a plurality of automobile part sets through classification based on at least one of the following factors an interface type of an interface of an automobile part, a transmission type used by the automobile part to transmit data, a manufacturer of the automobile part, a type of the automobile part, a safety level of the automobile part, a service type of a service to which data transmitted by the automobile part belongs, or a service level of the service to which the data transmitted by the automobile part in the automobile belongs.

An apparatus of determining a position of a vehicle, may include a plurality of sensors to acquire raw data for vehicle information and surrounding information related to the vehicle, and a controller to generate a plurality of vehicle position point data based on the raw data, generate respective tracklets for the sensors by combining the plurality of vehicle position point data, fuse the tracklets for the sensors, and determine a final position of the vehicle using the fused tracklets for the sensors. The position is exactly estimated, and a computation amount is prevented from being excessively increased such that real-time position information is easily acquired

An automatic driving assistance apparatus includes a driving state acquirer, an own vehicle location acquirer, a traveling environment information acquirer, a branch lane determining unit, a lane change calculator, and a traveling state controller. The driving state acquirer acquires a driving state of an own vehicle. The own vehicle location acquirer acquires a location of the own vehicle. The traveling environment acquirer acquires a traveling environment in which the own vehicle is traveling. The branch lane determining unit examines whether a target travel path toward which the own vehicle travels is set to a branch lane direction. The lane change calculator obtains a deceleration start position and a lane change start position of the own vehicle. The traveling state controller controls a traveling state of the own vehicle based on the deceleration start position and the lane change start position.

A controller as a control apparatus for a hybrid vehicle determines whether or not to perform switching from a first traveling mode in which a hybrid vehicle is caused to travel using torque of a motor without using torque of an engine to a second traveling mode in which the hybrid vehicle is caused to travel using at least the torque of the engine. The controller, when determining that switching is to be performed from the first traveling mode to the second traveling mode, performs control to reduce output torque of the motor by a predetermined amount. After this control, the controller shifts a first clutch from a released state to an engaged state so that the torque of the motor is transmitted to the engine via the first clutch, and cranks the engine using the motor to start the engine.

A method for determining, by a utility vehicle having a trailer coupling, an articulation angle between the utility vehicle and a coupled vehicle trailer includes determining, with a model, a modelled value of the articulation angle or an articulation angle change. The method further includes determining, with a sensor unit, a measured value of an articulation angle or of an articulation angle change, and deriving, from the measured value, a correction value. The method additionally includes correcting the modelled value as a function of the correction value, and outputting the corrected modelled value as an output value of an articulation angle.

A vehicle system includes an electronic control unit. The electronic control unit is configured to execute a first program, a second program, and a third program. The first program is configured to recognize an object present around a vehicle, the second program is configured to store information related to the recognized object as time-series map data, and the third program is configured to predict a future position of the object based on the stored time-series map data. The first program and the third program are configured to be (i) first, individually optimized based on first training data corresponding to output of the first program and second training data corresponding to output of the third program, and (ii) then, collectively optimized based on the second training data corresponding to the output of the third program.