The vehicle control device controls a vehicle configured to receive power by non-contact from a power transmission coil when passing over the power transmission coil. The vehicle control device includes a processor configured to set a target speed of the vehicle in a power supply area where the power transmission coil is installed. The processor is configured to lower the target speed when at least one predetermined condition is satisfied, compared to when the at least one predetermined condition is not satisfied. The at least one predetermined condition includes a first condition relating to a running environment around the vehicle.

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.

There is provided an adaptive cruise control method for autonomously adapting the speed of an ego vehicle (300) to maintain a target headway, headway being distance from the ego vehicle to a forward vehicle (302), the ego vehicle equipped with a perception system (100) for measuring a current headway and a current speed and acceleration of the forward vehicle relative to ego vehicle, the method comprising: in response to detecting that the current headway is below the target headway, determining and implementing a deceleration strategy for increasing to the target headway; wherein the deceleration strategy is determined so as to selectively optimize for comfort in dependence on a predicted headway, the predicted headway computed for a future time instant based on the current speed and acceleration of the forward vehicle relative to the ego vehicle.

Provided is An apparatus for assisting driving of a host vehicle, the apparatus comprising: a camera mounted to the host vehicle and having a field of view in front of the host vehicle, the camera configured to acquire image data; and a controller including a processor configured to process the image data, and configured to receive a map on which the host vehicle travels from a server, compare a speed limit included in the map with a speed limit included in the image data, and control a display of the host vehicle so as to display the speed limit based on the image data.

Controlling a prime mover of a first vehicle following a first path is based, at least in part, on a likely speed behaviour of a second vehicle ahead of the first vehicle, which is estimated based on a predicted path of the second vehicle. At least one coasting profile for the first vehicle is estimated for at least part of the first path and/or the predicted path. At least one of the coasting profiles is determined that meets at least one predetermined coasting requirement. The prime mover may be controlled to place the vehicle into a coasting mode based on the determined coasting profile. Alternatively, feedback is provided to a user to put the vehicle into a coasting mode.

When a subject vehicle performs first autonomous lane change control from a subject vehicle lane to an adjacent lane and then consecutively perform autonomous lane change control to a next adjacent lane in the same direction of lane change, lateral speed to perform second and subsequent autonomous lane change control is set slower than lateral speed to perform the first autonomous lane change control. Thus, the second and subsequent autonomous lane change control to the adjacent lane in the same direction of lane change is performed more slowly than the previously performed autonomous lane change control. Time used for confirming surrounding situations is lengthened, and the surrounding situations can be properly confirmed prior to the lane change.

Systems, methods, and computer program products for upgrading a vehicle's functionality based on the manner in which the vehicle is operated. A predefined operating condition of the vehicle that can be assisted by a vehicle feature not presently provided by the vehicle is identified. Thereafter, a notification is communicated to a user interface that indicates availability of the vehicle feature. Subsequently, the vehicle is upgraded to provide the vehicle feature responsive to input to the user interface submitting a request to perform the upgrade.

A vehicle control system may include a controller that obtains route information based on a driving route and a location of a vehicle, searches for an uneven road surface on the driving route based on the route information, calculates an impulse based on vehicle information and shape information about the found uneven road surface when the uneven road surface is found, and sets a target speed based on the calculated impulse and user data.

An apparatus and a method for controlling an autonomous vehicle depending on weather are provided. The apparatus obtains information including at least one of an image around the autonomous vehicle, sensing information of a Light Detection and Ranging (LiDAR) of the autonomous vehicle, sensing information of a rain sensor of the autonomous vehicle, an operation state of a windshield wiper of the autonomous vehicle, climate information through vehicle to everything (V2X) communication, an acceleration of the autonomous vehicle, or wheel sensor information of the autonomous vehicle and determines whether the climate state is an inclement weather state, based on the information including the at least one of the image around the autonomous vehicle, the sensing information of the LIDAR, the sensing information of the rain sensor, the operation state of the windshield wiper, the climate information through the V2X communication, the acceleration, or the wheel sensor information.

A vehicle includes: a driver assistance system; an accelerator configured to perform acceleration of the vehicle; a braking device configured to perform deceleration of the vehicle; a velocity sensor configured to detect a current velocity of the vehicle; a driver status sensor configured to acquire a driver's behavioral data; and a controller. The controller is configured to identify a carelessness status of the driver based on the driver's behavioral data and to activate a velocity control mode when the carelessness status of the driver is detected in the activation status of the driver assistance system.