A road surface inclination angle calculation device includes a storage device configured to store mapping data that prescribes mapping, and an execution device. The mapping includes a front-rear acceleration variable and a drive wheel torque variable as input variables, and includes, as an output variable, an inclination angle variable that is a variable indicating the inclination angle of a road surface, on which a vehicle is traveling, for the travel direction of the vehicle. The execution device is configured to acquire the values of the input variables, and configured to calculate the value of the output variable by inputting the acquired values of the input variables to the mapping.

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.

A travel control device is a device that eliminates deviation of a vehicle from a target path by driving actuators when the vehicle deviates from the target path. The travel control device includes a movable range deriving unit that derives a movable range that is a range in which the vehicle is able to reach by driving the actuators on a basis of a traveling state of the vehicle, a target setting unit that sets a point included in the movable range in the target path as a target position, and an instruction unit that instructs the actuators to drive the vehicle toward the target position.

Disclosed is a vehicle control method, including: obtaining a first velocity planned for an intelligent vehicle to travel in a first area; and obtaining a second velocity planned for the vehicle to travel in the first area, where the second velocity is obtained based on a collision potential energy, the first velocity and the second velocity each include a direction and a magnitude, and the first velocity, the second velocity, and a risk of a collision between the vehicle and a surrounding obstacle are used to determine an optimal velocity of the vehicle, so that the vehicle can effectively avoid the obstacle, thereby improving traveling safety of the vehicle. Also disclosed are a vehicle control apparatus, a vehicle controller, and a vehicle.

A vehicle starting mechanism includes a switch box and a power switch. The switch box is provided near an operation panel or a meter panel, and has a lid that can be opened and closed. The power switch is housed inside the switch box, and is capable of switching the vehicle between a state capable of traveling and a state incapable of traveling.

Systems and methods are provided herein for adaptive user input boundary support for remote vehicle motion commands. The systems and methods described herein may be used to allow more flexibility in continuous inputs provided to trigger commands to a vehicle to perform an autonomous function, such as Remote Park Assist (RePA). The systems and methods may allow RePA to continue even if the continuous input is not provided in the form of a perfect circle or if the continuous input drifts gradually over time.

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.

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.

A method for controlling a parked vehicle includes receiving vehicle identification information from a first terminal, specifying a target vehicle to be controlled based on the vehicle identification information, waking up the target vehicle to be controlled and transitioning the target vehicle to be controlled to a movable state, and transmitting a moving direction to the target vehicle to be controlled.

The invention relates to a driver assistance system for a motor vehicle, comprising a surroundings sensor system, a controller, and an analysis module. The controller is equipped and designed so as to ascertain an assistance function control signal on the basis of surroundings data detected by the surroundings sensor system, said assistance function control signal being in a specified functional relationship with at least one assistance system parameter and the detected surroundings data, and to actuate the vehicle so as to provide an assistance function by means of the assistance function control signal. The analysis module is equipped and designed so as to ascertain a success value for the assistance function control signal using reference information and to initiate an optimization of the at least one assistance system parameter if the success value falls below a success threshold.