A parking assist system includes an environment information obtainer and a parking assist controller. The parking assist controller includes an available parking space detector, a target guiding route setter, a target stop position setter, and a steering controller. The steering controller turns a steered wheel of a vehicle and fixes the steered wheel to a steering angle at which the vehicle starts to be reversed at a target stop position for turning the vehicle along a target guiding route. The steering controller also turns the steered wheel to a steering angle at which the vehicle starts to be reversed to an available parking space at a target stop position for parking the vehicle in a state in which the vehicle is in line with the available parking space.

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.

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).

An emergency maneuver control system includes a path planning control device, which is designed to determine an emergency maneuver trajectory in a highly automated or autonomous operating mode of the vehicle; a longitudinal guidance actuator control device which is coupled to the path planning control device and is designed to provide longitudinal guidance control commands derived from the emergency maneuver trajectory and, in the event of an emergency maneuver situation, to cause the at least one longitudinal guidance actuator to execute the longitudinal guidance control commands; and a transverse guidance actuator control device which is coupled to the path planning control device and is designed to provide transverse guidance control commands derived from the emergency maneuver trajectory and, in the event of an emergency maneuver situation, to cause the at least one transverse guidance actuator to execute the transverse guidance control commands.

A tight turn wheel locking system may include a steering end stop sensor to output signals indicating that steered front wheels of a vehicle are in an end stop state towards a short turn side, an end stop steering wheel input sensor to output signals indicating end stop operator input to the steering wheel while the steered front wheels are in the end stop state, and a controller configured to automatically enter a tight turn mode in response to the end stop operator input satisfying a predetermined threshold. The controller, in the tight turn mode, outputs tight turn control signals that cause a vehicle braking system of the vehicle to lock a rear wheel of the vehicle corresponding to the short turn side.

An integrated control apparatus and method for a vehicle are provided. The integrated control apparatus for the vehicle includes: a sensor unit comprising one or more sensing devices provided in the vehicle, wherein each of the one or more sensing devices provides driving environment information by sensing driving environments of the vehicle; an integrated control unit configured to generate one or more control commands for driving control of the vehicle based on one or more pieces of driving condition information of the vehicle received from a network of the vehicle and each driving environment information received from the sensor unit, mediate the generated control commands according to priorities determined based on driving safety of the vehicle and assigned to the respective control commands, and generate a final control command in which output response characteristic of the driving control according to the control command having higher priority is optimized.

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.

The invention relates to a method for checking an AI-based information processing system used in the partially automated or fully automated control of a vehicle, wherein at least one sensor of the vehicle provides sensor data, the captured sensor data are evaluated by an AI-based information processing system arranged in a first control circuit of the vehicle and, from the evaluated sensor data, at least one output for controlling the vehicle is generated. The AI-based information processing system is checked by a testing circuit arranged in a second control circuit of the vehicle using at least one testing method, and wherein a test result of the at least one testing method is stored, with a reference to the tested AI-based information processing system and to the at least one testing method used, in a multi-dimensional data structure in a database arranged in the vehicle.

A method of reversing a trailer along a defined path according to a disclosed exemplary embodiment includes, among other possible things, detecting a deviation from a predefined path of a trailer coupled to a tow vehicle with a sensor system disposed within the tow vehicle, determining a correction path required to move the trailer back to the predefined path, determining a dampening factor for limiting deviation from the predefined path, combining the determined correction path and the dampening factor to determine a desired curvature, wherein the desired curvature represents a path from a current position of the trailer to the predefined path, and determining a steering angle of the tow vehicle that provides the desired curvature.

When a collision avoidance steering control start condition becomes satisfied, a driving support ECU starts a steering control to avoid a collision with a frontward vehicle. The ECU prohibits the steering control when an indicated direction by turn indications of the frontward vehicle is the same as a planned direction of the steering control. The ECU sets the start condition to a first start condition, when the turn indicators of the frontward vehicle are not indicating a turning direction. The ECU sets the start condition to a second start condition, when the indicated direction is different from the planned direction. The first and second start conditions have been set such that an inter-vehicular distance between the host vehicle and the frontward vehicle of when the second start condition can be satisfied is shorter than one of when the first start condition can be satisfied.