A vehicle control apparatus includes one or more processors. The one or more processors are configured to set a second required value of a second state quantity to request an operation to a controlled object by using a first required value of a first state quantity on an operation of a vehicle from an in-vehicle system configured to set the first required value. The one or more processors are configured to set a feedback term of the second required value in feedback control by using a difference between the first required value and an actually measured value of the first state quantity. The one or more processors are configured to determine whether a component of the vehicle is degraded by using at least any one of a change history of the difference and a change history of the feedback term.

A computer-implemented method and system for classifying traffic situations of a virtual test. The method comprises concatenating a plurality of determined data segments of the lateral and longitudinal behavior of the ego vehicle to identify vehicle actions and classifying traffic situations by linking a subset of the determined data segments of the lateral and longitudinal behavior of the ego vehicle with the identified vehicle actions. The invention further comprises a computer-implemented method for providing a trained machine learning algorithm for classifying traffic situations of a virtual test.

A control system configured to accurately determine a condition of a road surface on which a vehicle travels. A learned model estimates the road surface condition based on the travelling data collected during propulsion of the vehicle, and a controller determines the road surface condition based on the road surface condition estimated by the learned model.

Methods are provided for controlling various systems in a vehicle based on input signals from at least one physical sensor and at least one model of a vehicle or a portion of the vehicle. The controller a rely preferentially on one or the other inputs based on the frequency of a motion of the vehicle and the state of the vehicle or one or mor portions of the vehicle.

A suspension characteristic is changed depending on a travel state by a simple structure. An ECU uses a vehicle speed-spring constant setting part to calculate a target spring constant depending on a vehicle speed, and uses a spring constant-frequency setting part to calculate a set frequency corresponding to the target spring constant. An oscillation input calculation part generates a signal representing an oscillation input oscillating at the set frequency. A superimposition part sets a value acquired by superimposing the oscillation input on a target driving force to a new target driving force. As a result, the wheel exhibits a minute oscillation in a longitudinal direction, resulting in an input of the minute oscillation to a suspension bush. The suspension bush changes in a spring constant and a damping coefficient depending on the frequency of the input minute oscillation. As a result, the suspension characteristic can be changed.

The techniques and systems herein enable collision indication based on yaw rate and lateral velocity thresholds. Specifically, an in-path band is determined for a predicted path of a host vehicle. Responsive to determining that a target is within the in-path band, a lateral movement for the host vehicle at a time is determined based on whether a yaw rate of the host vehicle meets a yaw rate threshold. A lateral movement for the target at the time is also determined based on whether a lateral velocity of the target meets a lateral velocity threshold. A collision indication is generated responsive to determining, based on the lateral movements, that the host vehicle and the target are likely to be within the in-path band at the time. In this way, the collision indication more accurately reflects an imminent collision, thereby increasing safety while also mitigating false-positive events.

In a method for automated avoidance of a collision of a vehicle with an object in the surroundings of the vehicle, multiple vehicle paths are predicted and each one is weighted with a vehicle path probability, the vehicle surroundings are recorded with an imaging vehicle sensor, an object in the vehicle surroundings is captured, at least one object path in the vehicle surroundings is predicted and is weighted with an object path probability, one of the vehicle paths is tested for collision with the at least one object path and if a collision is possible, a collision probability with the at least one object path is calculated, a weighting criterion for an overall collision probability of the vehicle with the object is ascertained and a test is performed of whether the weighting criterion exceeds a threshold and if the threshold is exceeded a collision avoidance maneuver is triggered.

A vehicle control system includes: a reception section configured to receive a selection operation for one or more driving modes by an occupant of a vehicle from out of plural driving modes having different control characteristics related to acceleration/deceleration or cornering; and an automated driving controller configured to perform automated driving in which at least one of speed control and steering control of the vehicle is controlled automatically based on the driving mode received as the selection operation by the reception section.

Aspects of the present invention relate to a method and to a control system for a vehicle, the vehicle comprising an internal combustion engine configured to provide torque to a first axle of the vehicle for generating first axle wheel torque, and an electric machine configured to provide torque to a second axle of the vehicle for generating second axle wheel torque, the method comprising: outputting a torque request for the engine and a torque request for the electric machine, the torque requests having a first ratio dependent on a required torque split between the first axle wheel torque and the second axle wheel torque, wherein received first axle wheel torque and received second axle wheel torque have a second variable ratio dependent on a difference between wheel torque response capabilities of the engine and of the electric machine; determining that a trigger condition is satisfied; and controlling, in dependence on satisfaction of the trigger condition, determination of the torque request for the electric machine such that deviation of the second ratio from the first ratio is inhibited.

A lane-keeping system suitable for use on an automated vehicle includes a camera, an inertial-measurement-unit, and a controller. The camera is configured to detect a lane-marking of a roadway traveled by a vehicle. The inertial-measurement-unit is configured to determine relative-motion of the vehicle. The controller in communication with the camera and the inertial-measurement-unit. When the lane-marking is detected the controller is configured to steer the vehicle towards a centerline of the roadway based on a last-position, and determine an offset-vector indicative of motion of the vehicle relative to the centerline of the roadway. When the lane-marking is not detected the controller is configured to: determine an offset-position relative to the last-position based on information from the inertial-measurement-unit, determine a correction-vector used to steer the vehicle from the offset-position towards the centerline of the roadway based on the last-position and the offset-vector, and steer the vehicle according to the correction-vector.