In some examples, a controller receives information of a route of a vehicle, and selects a first parameter set from among a plurality of parameter sets based on the route of the vehicle, the plurality of parameter sets corresponding to different conditions of usage of the vehicle, where each parameter set of the plurality of parameter sets includes one or more parameters that control adjustment of one or more respective adjustable elements of the vehicle. The controller causes application of the first parameter set to control a setting of the one or more adjustable elements of the vehicle.

The invention concerns a method for operating a brake back-up system (8) of a motor vehicle (2), with the steps: (S100) Reading in operating data (BD) of the motor vehicle (2), (S200) Evaluating the read-in operating data (BD) to identify malfunctions of a braking system of the motor vehicle (2), and (S300) Providing at least one actuation signal (AS, AS′) to influence components of a drive train of the motor vehicle (2).

A device and a method for controlling autonomous driving control a speed of an autonomous vehicle before downhill travel. The device and method calculate a travel resistance of an autonomous vehicle on a travel-intended-route, including a downhill route, a main braking pressure required to travel at a constant speed, and a brake temperature based on braking. The device and method determine whether to reduce the main braking pressure based on the calculated brake temperature and calculates a decreased amount of the main braking pressure and an increased amount of a speed of the autonomous vehicle based on the decreased amount of the main braking pressure on the travel-intended-route when determining to reduce the main braking pressure. The device and method limit a maximum speed of the autonomous vehicle before entering the travel-intended-route based on the increased speed amount.

Disclosed are a device for controlling a hybrid vehicle and a method thereof. The device includes a communication device that receives a plurality of data sets including a driving pattern and a control coefficient, and a controller that extracts speeds from the driving pattern, learns a control coefficient prediction model by using an average and a standard deviation of the speeds, and determines a control coefficient of the hybrid vehicle based on the control coefficient prediction model for which the learning is completed.

Provided is a control apparatus for a vehicle configured to perform parking assist control, the control apparatus including a first power supply device, a second power supply device, and a power supply circuit, the power supply circuit being configured to, when an abnormality occurs in the first power supply device during the performance of the parking assist control, supply an electric power from the second power supply device to a braking device and a shift switching device, and the braking device and the shift switching device being configured to operate such that a timing at which a current flowing from the second power supply device to the braking device reaches a maximum value and a timing at which a current flowing from the second power supply device to the shift switching device reaches a maximum value do not overlap.

Techniques are described for estimating road friction between a road and tires of a vehicle. A method includes receiving, from a temperature sensor on a vehicle, a temperature value that indicates a temperature of an environment in which a vehicle is operated, determining a first range of friction values that quantify a friction between a road and tires of a vehicle based on a function of the temperature value and an extent of precipitation in a region that indicate a hazardous driving condition, obtaining, from the first range of friction values, a value that quantifies the friction between the road and the tires of the vehicle, where the value is obtained based on a driving related behavior of the vehicle, and causing the vehicle to operate on the road based on the value obtained from the first range of friction values.

A method and device parameterize a driving dynamics controller of a vehicle, which intervenes in a controlling manner in a driving dynamics of the vehicle. The driving dynamics controller ascertains an action depending on a vehicle state. The method includes providing a model for predicting a vehicle state. The model configured to predict a subsequent vehicle state depending on the vehicle state and the action. At least one data tuple is ascertained including a sequence of vehicle states and respectively associated actions. The vehicle states are ascertained by the driving dynamics controller using the model depending on an ascertained action. The parameters of the driving dynamics controller are changed/adjusted such that a cost function which ascertains costs of the trajectory depending on the vehicle states and on the ascertained actions of the respectively associated vehicle states and is dependent on the parameters of the driving dynamics controller is minimized.

An embodiment inter-platooning vehicle distance controller includes a processor configured to separate a linear control section from a non-linear control section based on whether a preceding vehicle brakes during platooning, predict a real-time deceleration for each platooning vehicle with regard to a disturbance factor when generating a deceleration in the linear control section, and set target decelerations of platooning vehicles based on the predicted real-time deceleration, and a memory configured to store data and an algorithm executable by the processor.

Systems and methods are provided for vehicle navigation. In one implementation, a system for a host vehicle includes at least one processor programmed to determine, based on an output of at least one sensor of the host vehicle, one or more target dynamics of a target vehicle; determine, based on one or more host dynamics of the host vehicle and the target dynamics, a time to collision; determine, based on the time to collision and the host dynamics, a host deceleration for the host vehicle to avoid the collision; determine, based on the time to collision and the target dynamics, a target deceleration for the target vehicle to avoid the collision; determine, based on the host deceleration and the target deceleration, a host deceleration threshold; and determine, based on a speed of the host vehicle and the host deceleration threshold, to brake the host vehicle.

An apparatus includes a front detection sensor detecting presence of a pedestrian on a driving lane of the vehicle, gaze information of the pedestrian, and a distance and a relative speed between the pedestrian and the vehicle; a vehicle sensor detecting at least one of a speed, an acceleration, a steering angle, a steering angular velocity, or a pressure of a master cylinder of the vehicle; an electronic control unit activating a function of a pedestrian detection and collision mitigation system based on information detected by the front detection sensor and the vehicle sensor; and a warning unit operated to inform a driver of a collision of the pedestrian with the vehicle by controlling the electronic control unit.