An apparatus for controlling an autonomous vehicle disclosure may include a processor and a memory configured to be operatively connected to the processor and to store at least one code performed in the processor, wherein the memory may store a code that, when executed by the processor, causes the processor to control the autonomous vehicle to travel on the basis of a distance from a preceding vehicle in a travel lane in which the autonomous vehicle travels or a preset speed, determine a risk level of a lane change on the basis of a speed of the autonomous vehicle, a speed of a side vehicle traveling in a target lane of a lane change, and a distance between the autonomous vehicle and the side vehicle upon occurrence of a lane change request, and perform longitudinal or lateral control for the lane change on the basis of the risk level.

According to one embodiment, a motion trajectory boundary is obtained based on a trajectory that has been planned to drive an ADV for a next time period. A safe driving area boundary is determined for the ADV based on perception data perceiving a driving environment surrounding the ADV. The motion trajectory boundary and the safe drivable area boundary are projected onto a map such as an HD map. A relative location of the ADV within the map relative to the motion trajectory and the safe drivable area boundary is determined. A fail-safe action or a fail operational action may be performed based on the relative location of the ADV in view of the motion trajectory boundary and the safe drivable area boundary.

A method for operating a first vehicle operated in an at least semiautomated manner. Surrounding-area information and operating data of the first vehicle operated in an at least semiautomated manner are initially acquired. At least one second vehicle traveling ahead in the direction of travel of the first vehicle is detected as a function of the acquired surrounding-area information. At least one collision-free evasive trajectory of the first vehicle is calculated in response to a predicted collision of the second vehicle, as a function of the acquired surrounding-area information and the acquired operating data of the first vehicle. A distance from the first vehicle to the second vehicle is adjusted in such a manner that at least one collision-free evasive trajectory is available. A processing unit and a first vehicle including the processing unit are also described.

Disclosed is a vehicle path control apparatus including a memory provided to store danger driving vehicle data, a communication device provided to receive road information from an external server, and a processor configured to identify a danger driving vehicle driving on a road based on the road information and the danger driving vehicle data, select an unmanned vehicle driving within a preset distance from the danger driving vehicle based on the road information, generate a driving path of the unmanned vehicle for obstructing a course of the danger driving vehicle based on an expected path of the danger driving vehicle, and control the communication device to transmit information on the driving path to the unmanned vehicle.

An autonomous vehicle (AV) includes features that allows the AV to comply with applicable regulations and statues for performing safe driving operation. An example system for an AV includes obtaining, by a computer located in the AV, an image from a camera located on the AV, where the image characterizes an area towards which the AV is driven on a lane on a road or a highway; determining, from the image, that a pedestrian or a cyclist is located next to the lane on the road or the highway; and in response to the determining, performing driving operations on the AV such as steering from a center of the lane to a first side of the lane that is away from the center of the lane and away from a location of the pedestrian or the cyclist, and/or slowing down the AV in response to certain conditions.

A method of classifying a driving maneuver performed by another vehicle in an environment of an ego-vehicle. In the method: a time series of a metrologically determined position of the other vehicle relative to the ego-vehicle that extends to a time step t is provided; spatial profiles of lanes in which the other vehicle may be located are provided; for a plurality of driving maneuvers from a predetermined catalog of possible driving maneuvers, conditional probabilities for the other vehicle to perform this driving maneuver at the time t are respectively determined with a predetermined model by using the time series of the position and the profiles of the lanes; by using these conditional probabilities, a most likely position and/or a probability distribution of positions of the other vehicle at the time step t is determined.

A vehicle controller includes a processor configured to: determine a driving plan when a lane change from a host vehicle lane to another lane is requested. The driving plan represents travel behavior of a vehicle until completion of the lane change and satisfies a safety condition that the vehicle will collide with none of objects around the vehicle detected from a sensor signal obtained by a sensor mounted on the vehicle. The processor is further configured to: set a completion condition indicating a position or time at which the completion of the lane change is required, determine whether the completion condition is satisfied when the vehicle is driven according to the driving plan, control the vehicle to make the lane change according to the driving plan when the completion condition is satisfied, and restrict execution of the lane change when the completion condition is not satisfied.

A method includes, in response to an ignition on signal: determining, using one or more sensors, whether a host vehicle is moving from a first lane to a second lane; determining, using one or more sensors, whether an object is in at least one of a blind zone of the host vehicle and in the second lane within a threshold distance of the host vehicle; in response to a determination that an object is in at least one of the blind zone of the host vehicle and in the second lane within the threshold distance of the host vehicle, performing at least one operator assistance maneuver; and, in response to a determination that an object is not in at least one of the blind zone of the host vehicle and in the second lane within the threshold distance of the vehicle, not performing the at least one operator assistance maneuver.

Disclosed is an apparatus for assisting driving of a vehicle including a camera installed in the vehicle to have a front field of view of the vehicle and obtain image data, and a controller to process the image data. The controller is configured to identify objects surrounding the vehicle and lanes defining a road on which the vehicle travels based on the processing of the image data, identify a lane in which the vehicle travels based on relative positions of the surrounding objects, and control the vehicle to change the lane based on a distance from the road on which the vehicle is traveling to an additional lane for entering an exit road.

An HCU is to be used in a vehicle including an autonomous driving operation, and includes a function of a presentation control device that controls presentation of information to a driver of the vehicle. The presentation control device determines interruption of a second task other than driving permitted to the driver in an autonomous traveling period where the vehicle travels by the autonomous driving operation. Based on the interruption determination of the second task, the HCU changes a provision method of content provided in association with the second task in the autonomous traveling period.