A method for adapting a predefined reference line for a transportation vehicle, a device, and a transportation vehicle. A predefined reference line is received by a control unit. A distance value of a maximum lateral distance from the predefined reference line is received by the control unit from an input device and a permissible area is specified that extends along the reference line and the lateral boundary of which is the maximum distance from the reference line that is specified by the distance value. A driving path optimized for a minimum driving time is calculated by a specified first mathematical optimization method starting from the current transportation vehicle position. The first mathematical optimization method has at least one boundary condition that requires a course of the driving path within the permissible area. The distance value is specified by a user input by the input device.

The technology relates to the prediction and handling of tire blowouts for vehicles operating in a self-driving (autonomous) mode. Aspects involve determining a likelihood of tire failure, including actions the vehicle may take to reduce the likelihood of failure. Pre-trip and real-time system checks can be taken. A vehicle model including the tires may be employed in blowout prediction. The on-board system may store received data and detected sensor regarding tire pressure and temperature, which can be evaluated based on the model in order to avoid or minimize the likelihood of a blowout given various factors. The factors can include the load weight and distribution of cargo, current and upcoming weather conditions on the route, the number of miles traveled per tire, and detected obstructions, such as potholes, debris or other roadway impairments. Should a blowout occur, the autonomous system may immediately take any necessary corrective action.

A driver assist device and an adaptive waning method thereof are provided. The driver assist device includes a processor and a non-transitory storage medium containing program instructions executed by the processor. The processor detects outdoor and indoor information of a vehicle using a detector and determines a waning mode based on a traveling situation and a driver state identified through the detector when a warning-requiring situation is recognized during an operation of a driver assist function. A warning is then output based on the determined warning mode.

Provided is a method for use by a driving assistance apparatus that assists a transition from an autonomous driving mode in which a vehicle is driven under autonomous control to a manual driving mode in which the vehicle is driven by a driver. The method includes: detecting an activity by the driver; detecting conditions of the driver; and determining a take-over request method which is a method of presenting, in the vehicle, a take-over request that informs the driver that the autonomous driving mode is going to be cancelled, the determining being based on at least the detected activity by the driver and the detected conditions.

Improved passenger access and suspension systems for passenger buses, and controllers configured for use therewith; and passenger buses incorporating such systems and controllers. Integration of access ramp, door, suspension, charge interface, and other systems provides improvements in fully- or semi-automatic deployment of features such as passenger doors and ramps, and charge interface components, as well as navigation to passenger access points.

A vehicle control system executes automated driving control that controls automated driving of a vehicle based on driving environment information indicating a driving environment for the vehicle. When a part of functions of the vehicle is failed during the automated driving, the vehicle control system executes emergency stop control that stops the vehicle. In the emergency stop control, the vehicle control system: acquires failure status information being information on the failed part of functions; determines, based on the failure status information and the driving environment information, a target stop position at which even the vehicle with the failed part of functions is able to arrive and stop by the automated driving; and executes the automated driving control such that the vehicle travels toward the target stop position to stop at the target stop position.

A method can include obtaining vehicle data corresponding to an autonomous vehicle. The autonomous vehicle can include a vehicle controller configured to control a set of driving maneuvers of the autonomous vehicle. The method can further include obtaining accident condition data based, at least in part, on the vehicle data. The accident condition data can include a first set of driving conditions under which a vehicle accident occurred. The method can further include generating an accident condition record based, at least in part, on the accident condition data. The method can further include determining that the vehicle controller is not trained to control the set of driving maneuvers of the autonomous vehicle under the first set of driving conditions. The method can further include generating, in response to the determining, a pending test case based, at least in part, on the accident condition record.

The disclosure relates to a method, a device and a motor vehicle for controlling at least one vehicle system of the motor vehicle during a drive, wherein each vehicle system is respectively adapted to perform a driving maneuver of the motor vehicle and for each vehicle system a control responsibility determines, in which proportion a driver and a driver assistance system of the motor vehicle each controls the vehicle system, the method comprising the steps of: providing an assignment specification with which a control responsibility is assigned for different driving situations in each case for each vehicle system; identifying an instantaneous driving situation while driving and determining the respectively assigned control responsibility in each vehicle system according to the assignment specification; receiving control instructions from the driver and from the driver assistance system for each vehicle system; and for each vehicle system, superposing control instructions from the driver and from the driver assistance system intended for said vehicle system in accordance with the control responsibility.

A method converts an at least partially automated driving maneuver in a vehicle. The method consists of determining, on the basis of surrounding data relating to a surroundings of the vehicle, a planned at least partially automated driving maneuver. The method also consists of generating a kinesthetically and/or haptic signal in relation to the planned driving maneuver for a driver of the vehicle. The method further consists of converting the planned driving maneuver if a predetermined affirmative control action is carried out and/or when a predetermined rejected control action is lacking.

The present disclosure may be directed to a computer-assisted or autonomous driving (CA/AD) vehicle that receives a plurality of indications of a condition of one or more features of a plurality of locations of a roadway, respectively, encoded in a plurality of navigation signals broadcast by a plurality of transmitters as the CA/AD vehicle drives past the locations enroute to a destination. The CA/AD vehicle may then determine, based in part on the received indications, driving adjustments to be made and send indications of the driving adjustments to a driving control unit of the CA/AD vehicle.