A travel control method for a vehicle detects a target trajectory along which a subject vehicle should travel and controls the subject vehicle to travel in an autonomous manner along the detected target trajectory. This method includes provisionally setting a forward gaze point distance from the subject vehicle to a forward gaze point, estimating a traveling trajectory in which the subject vehicle coincides with the target trajectory at the forward gaze point, detecting a maximum value of a lateral displacement between the estimated traveling trajectory and the target trajectory during travel from a current position of the subject vehicle to the forward gaze point, and definitely setting the forward gaze point distance when the maximum value of the lateral displacement is a predetermined value or less as an actual forward gaze point distance and controlling the subject vehicle to travel on the basis of the definitely-set forward gaze point distance.

An example, described herein, involves monitoring an operating input of a vehicle; determining a turning maneuver is to be performed by the vehicle with a decreased turn radius based on the operating input; determining that a transmission of the vehicle is to be downshifted to a low gear to enable the vehicle to perform the turning maneuver; and downshifting the transmission to the low gear.

A system for obtaining a prediction an action (a.sub.t) of a vehicle (V), including a camera for acquiring a sequence of images (F.sub.t) a convolutional neural network visual encoder which obtains a corresponding visual features vector (v.sub.t), one or more sensor that obtains a position of the vehicle (s.sub.t) at the same time step (s.sub.t), a Recurrent Neural Network configured to receive the visual features vector (v.sub.t) and position of the vehicle (s.sub.t) at the time step (t) and to generate a prediction of the action (a.sub.t) of the vehicle (V). The system comprising a command conditioned switch configured upon reception of a control command (c.sub.i) to select a corresponding branch of the Recurrent Neural Network. The system is configured to operate the selected corresponding branch to process the visual features vector (v.sub.t) and position of the vehicle (s.sub.t) at the time step (t) to obtain the prediction of the action (a.sub.t) of the vehicle (V).

In a vehicle control device, a vehicle control method, and a vehicle control system according to the present invention, in control of a motion of a vehicle which is based on a signal relating to a target trajectory and a signal relating to a traveling state, a target traveling state of the vehicle after a predetermined time period corresponding to a delay element in the control of the motion of the vehicle is predicted, and a command for achieving the predicted target traveling state is output to an actuator configured to control the motion of the vehicle, thereby suppressing occurrence of a deviation of a traveling trajectory from the target trajectory and occurrence of an unstable behavior, for example, meandering, due to the delay element in a vehicle motion control system which is based on the target trajectory.

A traveling control apparatus for a vehicle includes a steering angle detector, a vehicle speed detector, and a cruise control unit. The cruise control unit includes a steering angle speed detector, a steering angle correction value setting unit, and a target acceleration rate setting unit. The steering angle correction value setting unit sets a steering angle correction value, on the basis of a speed of the vehicle detected by the vehicle speed detector and a steering angle speed calculated by the steering angle speed detector. The target acceleration rate setting unit sets a target acceleration rate of a cruise control, on the basis of a steering angle and the speed of the vehicle. The steering angle is based on an addition of the steering angle correction value set by the steering angle correction value setting unit to the steering angle absolute value detected by the steering angle detector.

The vehicle control device includes an arbitration unit configured to arbitrate between a plurality of control commands acquired from a plurality of driving support applications that respectively implements driving support functions, configured to output instructions based on a control command after arbitration to a first control unit that is able to control a steering actuator and a second control unit that is able to control at least one of a brake actuator or a drive actuator, and configured to acquire a steering angle and a yaw rate as the control commands from the driving support applications.

A trailer tow assist system including a camera that captures a rearward image of the trailer and its surroundings, a human machine interface that displays the rearward image, an input device that receives user input, and an electronic processor. The electronic processor receives the rearward image, identifies a target-space within the surroundings, determines a vehicle orientation relative to the target-space, determines a trailer angle relative to the vehicle, determines a trailer trajectory within the surroundings, and displays the trailer trajectory and rearward image on the human machine interface. The electronic processor also controls, in response to the user input, the vehicle to follow the trailer trajectory along a centerline of the trailer trajectory.

A rollover prevention and mitigation controller for a vehicle comprising a controller adapted to reduce or reverse lateral force via reduction of the velocity of a vehicle, and manipulation of a steering angle, wherein manipulation of the steering angle reduces or reverses the yaw rate.

A damage reduction device according to an embodiment of the present technology includes an input unit, a prediction unit, a recognition unit, and a determination unit. The input unit inputs status data regarding a status in a moving direction of a moving body apparatus. The prediction unit predicts a collision with an object in the moving direction on the basis of the status data. The recognition unit recognizes whether the object includes a person. The determination unit determines, when the collision with the object is predicted and it is recognized that the object includes a person, a steering direction of the moving body apparatus in which a collision with the person is avoidable, on the basis of the status data.

In order to process sensor data for a driver assistance system oriented towards the driver's comfort, sensor data that is sensed by a sensor device and describes objects is preprocessed such that a distinction is made between a driving zone and a non-driving zone, where the driving zone is designated as an object driving zone. The object driving zone is delimited by a boundary line. Since the sensor data is processed for a comfort-oriented driver assistance system, it does not have to describe the entire theoretical driving zone. Rather, the boundary line is used to delimit the driving zone within which the vehicle can normally be expected to drive. Based thereon, it is easy to determine an appropriate boundary line and significantly reduce the volume of data to be transmitted from the sensor device to a central control device of the comfort-oriented driver assistance system in order to describe the sensed objects.