A method for automated control of a vehicle includes automatically navigating a vehicle within a current lane of travel with a driving assistance system, and predetermining a steering maneuver during the automatic navigation with the driving assistance system. The method also includes, prior to performing the predetermined steering maneuver, biasing the vehicle within the current lane of travel with an offset from a center of the current lane of travel using the driving assistance system, the offset in a direction of the predetermined steering maneuver, and performing the predetermined steering maneuver with the driving assistance system.

A method and apparatus for controlling a vehicle are provided. A lane in which a target vehicle is driving, and an object in a vicinity of the lane are detected from an image of surroundings of the target vehicle, a degree of danger of the object is evaluated, driving information of the target vehicle is determined based on the degree of danger, and the target vehicle is controlled based on the driving information.

A method for selecting and executing at least one reactive action of a vehicle includes a control unit receiving sensor data from a vehicle sensor system; detecting an emergency situation based on the sensor data; performing an evaluation; and selecting and implementing a reactive action for minimizing an accident risk of the vehicle based on the evaluation, where, in the evaluation, sensors that are uninvolved in the detection of the emergency situation are not taken into account or are taken into account at a lower weighting, are operated at a reduced performance, and/or are operated with a reduced scanning range. In addition, a control unit, computer program, and machine-readable memory medium can be provided for implementing the method.

Systems, apparatus and methods may be configured to implement actively-controlled light emission from a robotic vehicle. A light emitter(s) of the robotic vehicle may be configurable to indicate a direction of travel of the robotic vehicle and/or display information (e.g., a greeting, a notice, a message, a graphic, passenger/customer/client content, vehicle livery, customized livery) using one or more colors of emitted light (e.g., orange for a first direction and purple for a second direction), one or more sequences of emitted light (e.g., a moving image/graphic), or positions of light emitter(s) on the robotic vehicle (e.g., symmetrically positioned light emitters). The robotic vehicle may not have a front or a back (e.g., a trunk/a hood) and may be configured to travel bi-directionally, in a first direction or a second direction (e.g., opposite the first direction), with the direction of travel being indicated by one or more of the light emitters.

A computer is programmed to identify a turning center defined by a turning radius of the vehicle and a heading angle of the vehicle, identify a boundary circle having a center defined by the turning center and a radius extending to a location of a detected object, identify coordinates for each of a plurality of vertices of an external contour of the vehicle, the external contour defining a plurality of line segments, each line segment connecting two of the vertices, upon identifying at least one line segment that intersects the boundary circle, identify at least one of an object distance or an intersection time between the object and the vehicle, and actuate at least one of a steering or a brake to avoid the object when the object distance is below a distance threshold or the intersection time is below a time threshold.

A system of an electric vehicle configured to compensate for spin of the electric vehicle that results from slipping of one or more wheels. A controller detects when one or more wheels are slipping and/or a spin (e.g., rotation) of the electric vehicle that results from a torsion force as a result of the slipping. The controller instructs the steering system to orient one or more of the wheels that are not slipping in a direction opposite the direction of rotation to attempt to reduce or eliminate rotation of the electric vehicle and/or to maintain the present direction of travel.

A brake system for a transportation vehicle, a transportation vehicle having a brake system, and a method for operating a brake system. The brake system has two control units, wherein the respective control unit actuates a respective brake circuit of the brake system, which includes two of four service brakes and one of two electric parking brakes of the brake system. In response to a defect in one of the brake circuits, the control unit of the other brake circuit actuates the respective brakes of the other brake circuit, to carry out trailer combination stabilization of a trailer combination having the transportation vehicle and a trailer coupled to the transportation vehicle; and/or to steer the transportation vehicle in the case of a defect in a steering system of the transportation vehicle based on a steering command of a control device for autonomous driving.

A vehicle communication system includes: a communication server and a vehicle control device. The vehicle control device includes at least one electronic control unit configured to: recognize a position of the host vehicle; acquire section information on the communication established section and the communication interrupted section; determine in which section, either the communication established section or the communication interrupted section, the host vehicle is traveling or is to travel; perform system driven control of the host vehicle based on the road condition information when the host vehicle travels in the communication established section; and perform driver driven control of the host vehicle when the host vehicle travels in the communication interrupted section.

A vehicle system includes an electronic control unit. The electronic control unit is configured to execute a first program, a second program, and a third program. The first program is configured to recognize an object present around a vehicle, the second program is configured to store information related to the recognized object as time-series map data, and the third program is configured to predict a future position of the object based on the stored time-series map data. The first program and the third program are configured to be (i) first, individually optimized based on first training data corresponding to output of the first program and second training data corresponding to output of the third program, and (ii) then, collectively optimized based on the second training data corresponding to the output of the third program.

An impairment analysis (“IA”) computer system for detecting an impairment is provided. The IA computer system is associated with a host vehicle, and includes at least one processor in communication with at least one memory device. The at least one processor is programmed to: (i) interrogate or otherwise scan a target vehicle by using a plurality of sensors included on a host vehicle to scan the target vehicle and a target driver; (ii) receive sensor data including target driver data and target vehicle condition data; (iii) analyze the sensor data by applying a baseline model to the sensor data; (iv) detect an impairment of the target driver or target vehicle based upon the analysis; and/or (v) output an alert signal to a host vehicle controller, or direct collision preventing actions (such as automatically engage vehicle safety systems), based upon the determination that the target driver or target vehicle is impaired.