A driver assistance system for automated longitudinal guidance of a motor vehicle includes a sensor system configured to identify an upcoming traffic scene, including locating road users situated ahead of the motor vehicle; and a control unit. The control unit is configured to carry out an automated longitudinal guidance of the motor vehicle depending on the upcoming traffic scene such that, in response to detecting that the upcoming traffic scene is a following-travel standstill situation, the motor vehicle is braked to a standstill at a target stopping distance from a road user situated ahead and identified as a target object. The control unit is also configured to detect a manual request to reduce the predefined target stopping distance. The control unit is further configured to reduce the target stopping distance to a reduced target stopping distance on the basis of the request.

A method for operating a single-track or multi-track vehicle including a driver-assistance system. In the method, a speed of the vehicle and a distance of the vehicle from a vehicle in front are controlled. The speed is controlled within a system-related speed range of the driver-assistance system using a position of an operating element of the vehicle and is controlled up to an optional target speed that is selectable within the speed range. Before an upper limit of the speed range is exceeded, a warning signal is provided to a driver of the vehicle. The distance is controlled within the speed range in a speed-dependent distance buffer region depending on the position.

A method and an apparatus for controlling lane changing, and a storage medium includes: predicting a target pose of a vehicle changed to a second lane based on a current pose of the vehicle on a first lane in response to a trigger of changing the vehicle from the first lane to the second lane; and determining a lane changing preparation pose of the vehicle on the first lane based on the target pose and at least one parameter of the vehicle.

The present disclosure provides a vehicle and method for controlling the same. The vehicle includes: an input unit configured to receive a command to select a traveling mode; a controller configured to determine an Advanced Driver Assistance System (ADAS) setting parameter based on a traveling mode selected through the input unit and a driving pattern of a driver; and a display configured to display setting information regarding the determined ADAS setting parameter.

This document describes road modeling with ensemble Gaussian processes. A road is modeled at a first time using at least one Gaussian process regression (GPR). A kernel function is determined based on a sample set of detections received from one or more vehicle systems. Based on the kernel function, a respective mean lateral position associated with a particular longitudinal position is determined for each GPR of the at least one GPR. The respective mean lateral position for each of the at least one GPR is aggregated to determine a combined lateral position associated with the particular longitudinal position. A road model is then output including the combined lateral position associated with the particular longitudinal position. In this way, a robust and computationally efficient road model may be determined to aid in vehicle safety and performance.

A method for controlling a hybrid drive of a vehicle includes detecting a traffic and/or street situation ahead of the vehicle, and based on the detected situation, determining an upcoming increase of a performance requirement to be expected from the hybrid drive and increasing a withdrawal rate of an electrical energy source of the hybrid drive. This increase occurs before the performance requirement is realized. The performance requirement may be realized according to the increase of the withdrawal rate, e.g., in conformity with a performance requirement which may be entered via an interface, for example an accelerator pedal.

A vehicle includes a power unit configured to output drive power, a brake device, and a controller configured to execute predetermined travel control to control the power unit and the brake device such that the vehicle runs according to an inter-vehicle distance from a preceding vehicle or a difference between a set vehicle speed and an actual vehicle speed. The controller is configured to, when an absolute value of a controlled braking force calculated while the predetermined travel control is being executed is greater than an absolute value of an accelerator-off braking force when an accelerator is off while the predetermined travel control is not being executed, control the brake device with the accelerator-off braking force set for a target braking force on condition that a predetermined condition is satisfied.

A vehicle driving control method with optimal efficiency includes a first step of state variable modeling of a longitudinal dynamics equation of a vehicle based on a velocity-related state variable and a wheel drive input variable, a second step of calculating wheel power using the state variable and the input variable, a third step of calculating battery power using the wheel power calculation, a fourth step of approximating the battery power, and a fifth step of outputting a wheel drive control target by calculating a minimum solution by using the approximated battery power as an objective function and applying at least one constraint to the objective function.

Provided are methods for motion planner constraint generation based on road surface hazards, which can include receiving information about an object, identifying the object as a particular road hazard, generating one or more motion constraints based on the road hazard, and controlling a vehicle based on the motion constraints. Systems and computer program products are also provided.

The present disclosure relates to an active rear collision avoidance apparatus and method. The apparatus includes a sensor for acquiring information by detecting at least one of a preceding vehicle, a vehicle at risk of collision or other vehicles; and a controller for determining a possibility of collision between the vehicle at risk of collision and the host vehicle, determining a direction of avoidance preferentially from where an avoidable area exists in response to the driving of the vehicle at risk of collision, if the possibility of collision is higher than or equal to a threshold point, controlling the host vehicle to drive to avoid in the determined direction of avoidance, and controlling the host vehicle to drive to avoid a possible collision in response to a response to the transmitted avoidance request signal from the preceding vehicle and/or the other vehicle.