A dynamic vehicle stability control system for a vehicle may include an active wing extending laterally relative to a longitudinal centerline of the vehicle and configured to be rotatable to change an angle of attack relative to wind passing over the vehicle parallel to the longitudinal centerline, a repositioning assembly operably coupling the active wing to the vehicle, and a controller operably coupled to components and/or a sensor network of the vehicle to receive status information about the vehicle. The repositioning assembly may be operated based on a wing angle command received by the controller responsive to execution of a plurality of control algorithms executed by the controller. The controller may be configured to determine the wing angle command based on respective wing angle requests generated by each of the control algorithms.

A parking assist system includes a control device. The control device continues an automatic parking process as a driver releases an operation on a brake pedal in a case where an obstacle is detected in a suspension area and an operation amount of the brake pedal has been equal to or more than a second threshold. The control device causes a brake device to stop a vehicle with a second brake force and suspends the automatic parking process in a case where the obstacle is detected in the suspension area and the operation amount of the brake pedal is less than the second threshold. The control device causes the brake device to stop the vehicle and cancels the automatic parking process in a case where the obstacle is detected in a cancellation area and the operation amount of the brake pedal is less than a first threshold.

Devices, systems, and methods for integrated predictive dynamic control of a vehicle powertrain in an autonomous vehicle are described. An example method for controlling a vehicle includes generating, based on performing an optimization on a blended smooth wheel domain fuel consumption map subject to a modified torque availability constraint, one or more wheel domain control commands, converting the one or more wheel domain control commands to one or more powertrain-executable engine domain control commands, and transmitting the one or more powertrain-executable engine domain control commands to a powertrain of the vehicle, the powertrain configured to operate a plurality of gears, wherein the one or more powertrain-executable engine domain control commands enable the vehicle to track a reference kinematic trajectory associated with a vehicle speed driving plan within a predetermined tolerance.

A method includes identifying mass distribution data of an autonomous vehicle (AV). The mass distribution data is associated with a first load proximate a first distal end of a first axle of the AV and a second load proximate a second distal end of the first axle of the AV. The method further includes determining, based on the mass distribution data, one or more handling maneuver limits for the AV. The method further includes causing the AV to travel a route based on the one or more handling maneuver limits.

A vehicular control system includes a sensor disposed at a vehicle and capturing sensor data. The system, as the vehicle is approaching an intersection and responsive to processing by a processor of sensor data captured by the sensor, detects a cross-traffic threat approaching the intersection and maintains a buffer to store a trajectory of the cross-traffic threat. The system, using the trajectory, determines an intersection point between the vehicle and the cross-traffic threat, determines an arrival time at the intersection point for both the vehicle and the cross-traffic threat, and determines a difference between the arrival time of the vehicle at the intersection and the cross-traffic threat. The system, responsive to determining that the difference between the arrival time of the equipped vehicle at the intersection and the arrival time of the cross-traffic threat is less than a threshold amount, controls a safety system of the vehicle.

Aspects of the disclosure may enable autonomous vehicles to respond to emergency vehicles. For instance, sensor data identifying an emergency vehicle approaching the autonomous vehicle may be received. A predicted trajectory for the emergency vehicle may be received. Whether the autonomous vehicle is impeding the emergency vehicle may be determined based on the predicted trajectory and map information identifying a road on which the autonomous vehicle is currently traveling. Based on a determination that the autonomous vehicle is impeding the emergency vehicle, the autonomous vehicle may be controlled in an autonomous driving mode in order to respond to the emergency vehicle.

A control device executes caster angle change control for controlling a driving force applying device or each of the driving force applying device and a braking force applying device to reduce a caster angle of a steered tire-wheel assembly when a steering request is received in a stopped state or in a creeping state without exceeding a predetermined vehicle speed at a point starting from the stopped state. In the caster angle change control, the control device applies, to one tire-wheel assembly out of a front tire-wheel assembly and a rear tire-wheel assembly, a driving force in a direction toward the other tire-wheel assembly and applies, to the other tire-wheel assembly, a braking force or a driving force in a direction toward the one tire-wheel assembly to achieve the stopped state or the creeping state in response to a request for acceleration or deceleration.

A travel controller including an information acquisition part configured to acquire brake state information of a braking device of a host vehicle and an ACC-ECU configured to perform travel control, wherein the travel control includes constant speed travel control and headway travel control. The constant speed travel control is configured to control the host vehicle to travel at constant speed in accordance with a preset target vehicle speed. The headway travel control is configured to control the host vehicle to travel by following another vehicle travelling ahead so that a predetermined inter-vehicle distance in maintained with the other vehicle and the host vehicle travels in accordance with the target vehicle speed. In the ACC-ECU, when a braking performance index of the host vehicle has a “declined value”, a target acceleration of Example 1 takes a reduced value compared to the target acceleration of Comparative Example for a common distance difference.

A processor unit (3) is configured for executing an MPC algorithm (13) for model predictive control of a first component (18) of a motor vehicle (1) and of a second component (19) of the motor vehicle (1). The MPC algorithm (13) includes a cost function (15) to be minimized and a dynamic model (14) of the motor vehicle (1). The dynamic model (14) includes a loss model (27) of the motor vehicle (1). The loss model (27) describes an overall loss of the motor vehicle (1). The cost function (15) includes a first term, which represents the overall loss of the motor vehicle (1). The overall loss depends on a combination of operating values, which includes a first value of a first operating parameter and a second value of a second operating parameter. The processor unit (3) is also configured for determining, by executing the MPC algorithm (13) as a function of the loss model (14), that combination of operating values, by which the first term of the cost function (15) is minimized.

A method for detecting, a roadside object including, a three-dimensional object in the vicinity of a vehicle on a road surface includes recording at least one data set including a plurality of data points associated with a region in a lateral vicinity of the vehicle, the region at least partially including at least one wheel of the vehicle and the road surface, where each data point includes according, to whether it corresponds to the at least one wheel to the road surface or to the roadside object, determining a distance between a data point classified as corresponding to the at least one wheel and a data point classified as corresponding to the roadside object and generating a signal if the distance is below at least one threshold value.