The present disclosure relates to a vehicle and associated method capable of effectively responding to a cut-in of a nearby vehicle in various road conditions. The method includes obtaining driving situation information; drawing an integrated lane by selectively applying a lanelink, a lainside, and a point level path (PLP) based on the obtained driving situation information; determining a cut-in target based on the integrated lane and a predicted path of each of at least one nearby vehicle; calculating a control point to be followed for driving control of an ego vehicle based on an intersection of a predicted path of the cut-in target and the integrated lane; generating a speed profile and a driving path based on the calculated control point; and performing driving control based on a parameter corresponding to the speed profile and the driving path.

A method for driving a motor vehicle in an at least semiautomated manner. The method includes: receiving surrounding-area signals, which represent a first region of a surrounding area of the motor vehicle monitored with the aid of a surround-sensor system of the motor vehicle; receiving information signals, which represent information that is ascertained outside of the motor vehicle and is in regard to a second region of the surrounding area of the motor vehicle; generating and outputting control signals for controlling the lateral and/or longitudinal guidance of the motor vehicle on the basis of the surrounding-area signals and the information signals, in order to drive the motor vehicle in an at least semiautomated manner on the basis of the first region and the second region of the surrounding area of the motor vehicle. A device, a computer program, and a machine-readable storage medium, are also described.

The invention relates to a method and device for driver assistance for determining habits of a driver, a computer storage medium, and a vehicle. The method for driver assistance for determining the habits of the driver includes: recognizing a vehicle working condition; recognizing a vehicle status; and determining the habits of the driver based on the vehicle working condition and the vehicle status, where the recognizing a vehicle working condition includes: performing first vehicle working condition recognition based on vehicle speed information; and performing second vehicle working condition recognition based on a combination of map information and positioning information and/or camera information. By performing working condition recognition twice, accuracy of vehicle working condition recognition can be improved and a vehicle working condition recognition result can be prevented from incorrectly and frequently switching between various vehicle working conditions. This achieves efficient and accurate vehicle working condition recognition.

This document describes techniques and systems to indirectly verify speed limits based on contextual information for autonomous and semi-autonomous driving systems. In addition to camera systems, the described techniques and systems use other sensors and secondary factors to improve the accuracy and confidence in detecting posted speed limits. For example, a camera system captures an image or other data directly indicative of a speed limit. Contextual information for the road or vehicles nearby is also obtained and used to determine at least one indirect indication of the speed limit. A composite speed limit is identified by applying a respective weight to the direct and indirect indications of the speed limit. The described systems and techniques thereby enable controlling the vehicle based on the composite speed limit. In this way, the described systems and techniques can verify a speed limit to make autonomous and semi-autonomous driving systems safer.

According to one aspect, a vehicle includes hardware systems configured to support the autonomous or semi-autonomous operation of the vehicle. Hardware systems may include a main compute, a brain stem computer (BSC), and an aggregator/compute arrangement or redundant autonomy compute. Such hardware systems may cooperate to allow the vehicle to operate autonomously, and typically provide capabilities, e.g., redundant and/or backup capabilities, configured to enable the vehicle to continue to operate in the event that a primary system is not functioning as expected. The aggregator/compute arrangement may further be comprised of two substantially identical modules or computing assemblies, each configured to process sensor data and perform backup autonomy functionalities and/or teleoperations functionalities.

A device for controlling a vehicle may include a sensor that senses an object around the vehicle and acquires travel information of the vehicle, and a controller that creates an integrated line corresponding to a road where the vehicle is traveling, and sets a region of interest corresponding to the object based on the integrated line, and changes the region of interest based on the travel information of the vehicle.

Technologies and techniques for displaying information for an occupant of a motor vehicle. The display position of a head-up display is able to be varied flexibly depending on the context. To this end, both a displacement of the X and/or Y position and a color selection adapted to the background may be implemented and be performed automatically. Information from the steering angle, speed, map data and also head tracking by the interior camera may be combined to determine the X and/or Y position. In order to achieve optimum visibility for any load case, sensor fusion from the position data and an exterior camera may take place: Content or information (24) may thus be displayed depending on the current display position, so as to be more visible. If only some of the information is on a background, only some of the color may also change.

A method for operating a driver assistance system of a vehicle includes the steps of: checking whether there is a motorway exit or roadworks on a first side of the vehicle; checking whether an environment sensor system of the vehicle detects a lane marking that bounds a lane of the vehicle on a second side, which is opposite the first side; if the result of the checking is that there is a motorway exit or roadworks on the first side of the vehicle and that the environment sensor system detects the lane marking, operating a lane-keeping function of the driver assistance system; and if the result of the checking is that there is a motorway exit or roadworks on the first side of the vehicle and that the environment sensor system does not detect the lane marking, triggering a takeover request to a driver of the vehicle.

A method for operating an automated vehicle. The method includes: detecting surroundings of the vehicle; providing surroundings data of the detected surroundings; supplying the surroundings data to a situation detection unit including a defined number greater than one of situation detection elements; computationally modeling the surroundings of the vehicle with the aid of the situation detection elements; activating driver assistance systems using output data of the models of the situation detection elements; deciding, with the aid of a decision-making unit, which output data of the models of the situation detection elements are used for activating an actuator unit of the vehicle; and activating the actuator unit of the vehicle using the decided-upon output data.

A method for determining a slip angle λ.sub.r of a rear wheel of a single-track motor vehicle for the purpose of traction control of the rear wheel of the single-track motor vehicle by means of a closed loop control is provided. The slip angle λ.sub.r of the rear wheel is determined as a feedback value of the closed loop using at least one of three model-based steps. A slip angle λ.sub.r1, λ.sub.r2 or λ.sub.r3 is determined by one of the three steps representing the slip angle λ.sub.r or the slip angle λ.sub.r is determined from at least two of the slip angles λ.sub.r1, λ.sub.r2 and λ.sub.r3.