A control device for a land vehicle is described. The control device is set up to control at least one actuator of the land vehicle on the basis of an avoidance trajectory calculated by the control device in order to support a driver of the land vehicle during an evasive maneuver. The control device is also set up to receive sensor signals of at least one sensor; to generate an environmental model from the received sensor signals; to determine the position of an object relative to a current position of the land vehicle in the generated environmental model; and to calculate a preliminary avoidance trajectory. In the calculation of the preliminary avoidance trajectory, the current position of the land vehicle in the generated environmental model constitutes the starting point of the preliminary avoidance trajectory. A preliminary end point of the preliminary avoidance trajectory is determined on the basis of the determined position of the object. To determine the parameters of the preliminary avoidance trajectory, at least the coordinates of the starting point and of the preliminary end point are used.

A driving assistance apparatus measures a position and a movement direction of a target object present in the periphery of an own vehicle. The driving assistance apparatus performs a driving assistance process of the own vehicle when the measured position of the target object is within a determination area provided in the periphery of the own vehicle. The driving assistance apparatus corrects the determination area in a direction at which the target object is measured, when the target object is determined to be moving towards the determination area based on the measured movement direction of the target object.

A method for improving the safety and comfort of a vehicle driving over a railroad track, cattle guard, or the like. The method may include receiving, by a computer system, one or more inputs corresponding to one or more forward looking sensors. The computer system may also receive data characterizing a motion of the vehicle. The computer system may estimate, based on the one or more inputs and the data, a motion of a vehicle with respect to a railroad track, cattle guard, or the like extending across a road ahead of the vehicle. Accordingly, the computer system may change a suspension setting, steering setting, or the like of the vehicle to more safely or comfortably drive over the railroad track, cattle guard, or the like.

A method for detecting a situation of loss of grip of a vehicle provided with a steering system operated by a steering wheel, said method being in that it comprises a step (a) of evaluating a first indicator of loss of grip (P1) comprising calculating, as the first indicator of loss of grip (P1), the partial derivative

[00001]$\left(P.Math..Math.1=\frac{\partial \stackrel{.}{\psi }}{\partial \alpha }\right),$

relative to a variable (α) representative of the angular position of the steering wheel, of a driving parameter which is representative of the yaw rate ({dot over (ψ)}) of the vehicle.

Methods and systems are provided for controlling components of a vehicle. In one embodiment, a method includes: generating a model of vehicle dynamics based on vehicle corner information; determining a control output based on the model of vehicle dynamics; and selectively controlling at least one component associated with at least one of an active safety system and a chassis system of the vehicle based on the control output.

A system for controlling movement of a vehicle includes a user input device and computing system. The user input device dynamically controls a settings or balance of driving dynamics in a vehicle, and the user input device is configured to receive a manual input from a user. The computing system controls the settings of the vehicle driving dynamics and/or balance of the vehicle, the computing system is in data communication with the user input device and configured to change the driving dynamics balance proportionately to the manual input upon receiving an input command based on the manual input from the user input device.

A method and a device is described for determining the cross slope of a roadway or a negotiated curve for a motor vehicle, an evaluation unit being suppliable with measured values of a yaw rate sensor, of a driving speed sensor and of a lateral acceleration sensor as input signals, and the evaluation unit ascertaining therefrom a cross slope of the presently traveled roadway in that the difference value is formed between a calculated and a measured lateral acceleration, from which the roadway cross slope is derivable. The ascertained value is supplied to an adaptive cruise controller or a system for vehicle dynamics control in order to predefine an acceleration or a deceleration.

A control system for a vehicle is provided, which includes a driving force source configured to generate torque for driving drive wheels, a steering wheel, a steering angle sensor, and a controller. Based on the detected steering angle, the controller reduces the driving torque to add deceleration to the vehicle when the steering wheel is being turned in one direction, and increases the torque to add acceleration when the steering wheel is being turned back in the other direction. The controller controls the torque, when the steering wheel is being turned in the returning direction from a state where it is turned in the one direction, so as to add forward acceleration until the steering wheel returns to a neutral position, and when the steering wheel is then being turned in the other direction after passing through the neutral position, so as not to add the forward acceleration.

A vehicle arithmetic system includes a single information processing circuitry. performs control of vehicle external environment estimation circuitry configured to receive outputs from sensors that obtain information of a vehicle external environment, and estimate the vehicle external environment including a road and an obstacle; a route generation circuitry configured to generate a traveling route of the vehicle which avoids the obstacle estimated on the road estimated, based on an output from the vehicle external environment estimation unit; and a target motion determination circuitry configured to determine a target motion of the vehicle so that the vehicle travels along the traveling route generated by the route generation circuitry.

Techniques for generating trajectories and drivable areas for navigating a vehicle in an environment are discussed herein. The techniques can include receiving a reference trajectory representing an initial trajectory for a vehicle, such as an autonomous vehicle, to traverse the environment. Portions of the reference trajectory can be identified as corresponding to actions to navigate around a double-parked vehicle or to change lanes, for example. In some cases, a portion of the reference trajectory can be identified based on a proximity to an object in the environment. A weight can be associated with the portions of the reference trajectory, and the techniques can include evaluating a reference cost function at points of the reference trajectory based on the associated weights to generate a target trajectory. Further, the techniques can include controlling the autonomous vehicle to traverse the environment based at least in part on the target trajectory.