A control device of a vehicle comprises: a driving plan generating part 90 configured to generate a driving plan in automated driving of the host vehicle; a package extracting part 91 configured to extract driving assistance packages packaging permissions for a plurality of driving assistance operations based on at least one of the surrounding environment information, the vehicle information, and the driver information; a package proposing part 92 configured to propose driving assistance packages to the driver of the host vehicle based on the driving assistance packages extracted by the package extracting part and the driving plan; and an automated driving executing part 93 configured to perform driving assistance operations permitted in a driving assistance package proposed by the package proposing part and approved by the driver of the host vehicle.

A method for the preparation of an obstacle map, wherein the obstacle map comprises cells, includes assigning each of the cells to segments of an environment of the vehicle, and assigning to each of the cells information as to whether the corresponding segment of the environment is occupied by an obstacle. The method also includes preparing an environment map that comprises the cells, and determining a threshold value specification, where the threshold value specification specifies different threshold values for the cells of the environment map. The threshold value specification is determined depending on a trajectory of the vehicle. An obstacle map is then determined on the basis of the environment map and the threshold value specification.

A method for operating a control device of a motor vehicle driving by automation. The method includes determining a location of the motor vehicle, and acquiring driving-environment data of the motor vehicle, a control characteristic of the control device of the motor vehicle being formed in such a way that a driving behavior of at least one other road user is influenced in defined manner.

A vehicle is operable in a first operating mode in which the vehicle travels autonomously inside the traffic lane based on a detection of lane markings of a traffic lane and in a second operating mode in which the vehicle autonomously follows a vehicle driving in front while ignoring lane markings, and a method of its operation includes operating the vehicle in a first of the two operating modes, detecting a vehicle environment, and switching from the first operating mode to the other of the two operating modes as a function of the detected vehicle environment. A device can execute the method and a computer program can be executed by a device for performing the method.

A driver assistance system for motor vehicles, including at least one sensor for detecting object properties of objects which are located in the surroundings of the motor vehicle; a first interface; an output unit for transmitting the object properties to a user; and a control unit. The sensor transmits the object properties in a form of a first signal to the first interface. The first interface transmits the object properties, received in the form of the first signal, to the control unit in the form of a second signal, the control unit being configured to forward the object properties, received in the form of a second signal, to the output unit and to control the output of the object properties by the output unit.

A system for navigating a vehicle automatically from a current location to a destination location without a human operator is provided. The system of the vehicle includes a global positioning system (GPS) for identifying a vehicle location and a communications system for communicating with a server of a cloud system. The server is configured to identify that the vehicle location is near or at a parking location. The communications system is configured to receive mapping data for the parking location from the server, and the mapping data is at least in part used to find a path at the parking location to avoid a collision of the vehicle with at least one physical object when the vehicle is automatically moved at the parking location. The mapping data is processed by electronics of the vehicle so that when the vehicle is automatically moved collision with the at least one physical object is avoided and the electronics of the vehicle is configured to process a combination of sensor data obtained by sensors of the vehicle. The processing of the sensor data uses image data obtained from one or more cameras and light data obtained from one or more optical sensors.

Systems, components, and methodologies are provided for improvements in operation of automotive vehicles by enabling monitoring analysis and reaction to subtle sources of information that aid in prediction and response of vehicle control systems across a range of automation levels. Such systems, components, and methodologies include wheel-turn detection equipment for detecting a wheel angle of another vehicle to trigger a vehicle control system to perform an operation based on the detected wheel angle of the other vehicle.

Systems and methods for determining object prioritization and predicting future object locations for an autonomous vehicle are provided. A method can include obtaining, by a computing system comprising one or more processors, state data descriptive of at least a current or past state of a plurality of objects that are perceived by an autonomous vehicle. The method can further include determining, by the computing system, a priority classification for each object in the plurality of objects based at least in part on the respective state data for each object. The method can further include determining, by the computing system, an order at which the computing system determines a predicted future state for each object based at least in part on the priority classification for each object and determining, by the computing system, the predicted future state for each object based at least in part on the determined order.

Provided is an obstacle avoidance apparatus that can specify a distance between a subject vehicle and an obstacle when making the subject vehicle avoid the obstacle. An obstacle avoidance apparatus includes: an obstacle movement predictor that predicts movement of the obstacle; and a constraint generator that establishes a constraint on a state quantity or a control input of the subject vehicle by determining whether to steer right or left around the obstacle and defining a no-entry zone for preventing the subject vehicle from colliding with the obstacle. The constraint generator incorporates, into the no-entry zone, an area to the left of the obstacle when determining to steer right around the obstacle, and incorporates, into the no-entry zone, an area to the right of the obstacle when determining to steer left around the obstacle.

Embodiments herein can determine an optimal route for an autonomous electric vehicle. The system may score viable routes between the start and end locations of a trip using a numeric or other scale that denotes how viable the route is for autonomy. The score is adjusted using a variety of factors where a learning process leverages both offline and online data. The scored routes are not based simply on the shortest distance between the start and end points but determine the best route based on the driving context for the vehicle and the user.