Systems and methods for a moveable cover panel of an autonomous vehicle is provided. A vehicle can include a front panel disposed proximate to the front end of the passenger compartment, a vehicle motion control device located at the front panel, and a cover panel located at the front panel. The cover panel moveable relative to the front panel between an isolating position and an exposing position. The cover panel can isolate the vehicle motion control device from the passenger compartment when in the isolating position and expose the vehicle motion control device to the passenger compartment when in the exposing position. A method can include obtaining vehicle data identifying an operational mode, state, and/or status of the vehicle, determining a first position of the cover panel, and initiating a positional change for the cover panel based on the vehicle data and the first position.

A method for operating a vehicle hazardous parking warning system for warning a user of a first vehicle about hazardous parking of the first vehicle. The method includes detecting that the first vehicle enters a parking state at a parking position along the roadside; determining whether the parking position of the first vehicle is hazardous in terms of risk that the parked first vehicle being hit by a second, rear-coming, vehicle by retrieving stored forwards visibility information that was registered by a forwards directed sensor unit of the first vehicle while travelling of the first vehicle before entering the parking state; calculating a level of a risk parameter reflecting a risk for the parked first vehicle being hit by the second vehicle, based on the forwards visibility information; and determining that the parking position is a hazardous parking position when the risk parameter exceeds a threshold value.

A device for controlling the movement of a motor vehicle, including a longitudinal controller and a lateral controller which are capable of generating, from first information relating to the road layout and second information relating to the dynamic behaviour of the vehicle, control commands intended for actuators for controlling the longitudinal and lateral movement of the vehicle. The device includes a prediction model which is supplied with the first and second information and is capable of determining future states of the vehicle for future positions of the vehicle over a plurality of iterations defining a future road portion. The model is connected to a module for determining whether driving limit values are violated, which module is capable of determining, for each future state, whether one of the state variables defining the future state reaches or exceeds a driving limit value, and of deducing a future risk situation.

A number of illustrative variations may include a system including brake-to-steer algorithms may achieve lateral control of a vehicle without longitudinal compensation but may also force a vehicle to slow down too rapidly before appropriate lateral movement can be achieved and may deliver an unnatural driving experience for vehicle occupants. A more natural feeling deceleration may be achieved by optimally selecting appropriate transmission shifts to allow for optimal engine speed or electric motor speed and torque based on current vehicle speed thereby reducing undesirably longitudinal disturbance.

The present disclosure describes a computer-implemented method for controlling a vehicle. In aspects, the computer-implemented method includes acquiring sensor data from a sensor, determining first processed data related to a first area around the vehicle based on the sensor data using a machine-learning method, and determining second processed data related to a second area around the vehicle based on the sensor data using a conventional method. The second area may include a subarea of the first area. In addition, the computer-implemented method includes controlling the vehicle based on the first processed data and the second processed data.

The prevent disclosure relates to a lane keeping control apparatus and a method thereof. An exemplary embodiment provides a lane keeping control apparatus including a processor configured to calculate a steering angle control amount for following a target path for lane keeping control while driving a vehicle, and to adjust the steering angle control amount depending on a change directionality of a target path error that is an error between the target path and the vehicle, and a storage configured to store data and algorithms driven by the processor.

A method to control, while driving along a curve, a road vehicle with a variable stiffness and with rear steering wheels. The method comprises the steps of: determining an actual attitude angle of the road vehicle; establishing a desired attitude angle; determining an actual yaw rate of the road vehicle; establishing a desired yaw rate; and changing, in a simultaneous and coordinated manner, the steering angle of the rear wheels and the distribution of the stiffness of the connection of the four wheels to the frame depending on a difference between the actual attitude angle and the desired attitude angle and depending on a difference between the actual yaw rate and the desired yaw rate.

An automated parking movement path is generated such that a vehicle speed and a steering angle are set so as to enable a full steering axial force to be applied within a range of being less than a maximum driving force which depends on the temperature of a steering motor. Consequently, a load on the steering motor is suppressed, and thus a rise in the temperature of a steering motor is suppressed within the movement path from a movement starting position to a movement ending position.

A method for operating a vehicle by a parking assistance system in a following mode where the vehicle is driven along a trained trajectory or to initiate driving is disclosed. The method involves receiving the trained trajectory in a training mode in which a manually navigated trajectory is recorded as the trained trajectory. The trained trajectory has a strongly curved section, the radius of curvature of which is smaller than a radius that can be achieved with the vehicle with a maximum permissible steering lock predefined in the following mode. The method determines a starting point and an end point of the strongly curved section, ascertaining a substitute trajectory which connects a substitute starting point to a substitute end point. The substitute points are each on the trained trajectory and the strongly curved section is between the substitute points.

Provided are methods for autonomous driving mode engagement. Some systems described receive at least one autonomous vehicle operation task output associated with driving a vehicle in autonomous driving mode in an environment while the vehicle is operated in manual driving mode in the environment. The at least one autonomous vehicle operation task output is compared to a respective threshold, wherein the respective threshold is adaptive based on a current operational state of the vehicle in the manual driving mode. A transition indicator is set based on the comparison, and a transition from the manual driving mode to the autonomous driving mode is rejected in response to the transition indicator indicating a smooth transition from the manual driving mode to the autonomous driving mode is unavailable. Methods and computer program products are also provided.