A device (16) for determining a discrete representation (30) of a road section ahead of a vehicle (12) includes an input interface (22) for receiving sensor data (20) of a sensor (14) with information about the road section ahead of the vehicle, a setting unit (24) for ascertaining a control distance at which a property of the road section ahead of the vehicle that is relevant for an open-loop control of the vehicle changes based on the sensor data and for setting a support point in a discrete representation of the road section corresponding to the control distance. The setting unit is configured for setting a lower predefined second number (n2) of support points based on a predefined first number (n1) of support points. The device also includes an output interface (26) for outputting the lower predefined second number of support points to an optimizer (52) in order to determine a profile of at least one control parameter for the open-loop control of an open-loop system, a vehicle function based on the second number (n2) of support points.

A vehicle system of a hybrid vehicle includes: a navigation device that searches a movement path to a destination of a vehicle; and a vehicle control device configured to predict driving energy of a road section included in the movement path according to a vehicle speed of the vehicle when the movement path includes an exhaust gas emission restriction zone, predict first consumption State of charge (SOC) value of the battery consumed within the exhaust gas emission restriction zone based on the driving energy for a case in which the vehicle drives in the exhaust gas emission restriction zone without driving the engine, determine a target SOC value of the battery at a time when the vehicle enters the exhaust gas emission restriction zone based on the predicted first consumption SOC, and control the operation of the vehicle.

Methods and system are described for adjusting an attitude of an airborne vehicle according to terrain where the vehicle is expected to land. In one example, torque output of an electric machine is adjusted to change a pitch of a vehicle to conform to a pitch of terrain where the vehicle is expected to land so that vehicle stability may be improved.

A vehicle control device includes a recognizer that is configured to recognize a peripheral situation of a vehicle and a driving controller that is configured to execute automated driving for controlling a speed and steering of the vehicle on the basis of a recognition result of the recognizer. The recognizer is configured to recognize a real-time environment including a situation of a nearby vehicle or a situation of a nearby road on which the vehicle travels, and the driving controller is configured to shunt the vehicle to a shunt location to suspend the automated driving in a case where the real-time environment corresponds to a predetermined condition, and resume the automated driving in a case where the predetermined condition is resolved after the shunt.

A hybrid dump truck for surface mining, comprising a cyber-physical system including a sensing system and a control system, and a driving unit for performing autonomous driving of the dump truck along a travel path using at least the sensory data of the sensing system, wherein the closed cycle path is determined based on topographical data, wherein the control system is configured to control a cyclic energy level of the electric energy storage unit, wherein rates of change of power during autonomous or semi-autonomous driving of the hybrid dump truck from a predetermined reference point of the closed cycle path along said closed cycle path are controlled based on a desired velocity such as to reduce a difference in energy levels of the electric energy storage unit at the reference point of the closed cycle path.

A vehicle management device includes: a sensor information acquisition section configured to acquire information from a sensor unit installed at a vehicle to be used by a user through a subscription service; a wear state estimation section configured to estimate a state of wear of an expendable part of the vehicle from the acquired information; a maintenance cost information acquisition section configured to acquire information regarding a maintenance cost of the expendable part from the estimated state of wear of the expendable part; and an incentive awarding section configured to award an incentive to the user of the vehicle according to the acquired maintenance cost information.

An apparatus of controlling regenerative braking for battery charging according to driving information may include a driving information generation device that generates the driving information of a vehicle, a controller that is configured to control regenerative braking of the vehicle according to the generated driving information, and a charging device that controls charging of a battery of the vehicle according to the controlled regenerative braking.

An apparatus for controlling optimization of a charging amount of a battery for a vehicle charged with external power includes: a map storage, a position detector, and a controller to control the map storage and the position detector. The controller acquires a current position of the vehicle when a driver's desired charging setting value is input, acquires altitude information of topography corresponding to a driving path, calculates a gain charging amount in an uphill or downhill section on the driving path based on the altitude information, calculates an optimum charging setting value based on the driver's desired charging setting value and the gain charging amount, calculates a final target charging amount based on the optimum charging setting value and a current residual charging amount, and performs optimum charging of the battery.

In one aspect, a vehicle localization system implements the following steps: receiving a predetermined road map; receiving at least one captured image from an image capture device of a vehicle; processing, by a road detection component, the at least one captured image, to identify therein road structure for matching with corresponding structure of the predetermined road map, and determine a location of the vehicle relative to the identified road structure; and using the determined location of the vehicle relative to the identified road structure to determine a location of the vehicle on the road map, by matching the road structure identified in the at least one captured image with the corresponding road structure of the predetermined road map.

A computer implemented method for controlling a vehicle includes obtaining a value of the mass of the vehicle, receiving a plurality of time sequential measured first values of one or more further state parameters, calculating a first plurality of time sequential values of the vehicle mass, including a first calculated mass value, using the plurality of measured first values of the one or more further state parameters, the non-linear model, and an extended Kalman filter with a first filter tuning, with the obtained mass value as a start value, receiving a plurality of time sequential measured second values of the one or more of the further state parameters, and calculating a second plurality of time sequential values of the vehicle mass, including a second calculated mass value, using the plurality of measured second values of the one or more further state parameters, the non-linear model, and an extended Kalman filter with a second filter tuning, with the first calculated mass value as a start value, wherein the second filter tuning is made less aggressive than the first filter tuning.