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 driving assistance device configured to execute deceleration assistance for a driver's vehicle when the driver's vehicle turns right or left at an intersection is configured to recognize, based on a detection result from an external sensor of the driver's vehicle, an adjacent vehicle traveling in an adjacent lane adjacent to a traveling lane of the driver's vehicle, determine whether the adjacent vehicle turns in the same direction of the driver's vehicle at the intersection based on the detection result from the external sensor when the adjacent vehicle is recognized and the driver's vehicle turns right or left at the intersection, and execute the deceleration assistance to cause a vehicle-to-vehicle distance between the driver's vehicle and the adjacent vehicle to reach a distance equal to or larger than a target driver's vehicle-to-adjacent vehicle distance when the driving assistance device determines that the adjacent vehicle turns in the same direction.

A risk prediction determination device includes a predicted traveling route specifying unit, a risk location specifying unit, and a risk prediction determination unit. The predicted traveling route specifying unit specifies a predicted traveling route of a subject vehicle based on traveling lane information indicating a traveling lane of the subject vehicle, road type information indicating a type of a road around the subject vehicle, road link information related to a road link, and sensor information of the subject vehicle. The risk location specifying unit specifies a location with risk based on road shape information around the subject vehicle and location information of an obstacle. The risk prediction determination unit performs a risk prediction determination based on a specified result of the predicted traveling route specifying unit and a specified result of the risk location specifying unit.

The present invention relates to a method for avoiding collisions of a moving vehicle with other road users in the surroundings of the vehicle, comprising at least the method steps of: a) detecting, by means of one or more sensors, the vehicle surroundings and the other road users located therein; b) dividing the vehicle surroundings into a plurality of occupied areas; c) classifying the other road users detected in method step a), wherein, by means of the classification, at least one road user group is assigned to each of the other road users; d) prioritising the road user classified in method step c), taking into account both the classification carried out in method step c) and the occupied area defined in method step b), wherein road users from one or more predetermined road user groups in the particular occupied area are given a high priority and road users from other, non-predetermined road user groups in the particular occupied area are given a lower priority; and e) determining the probability of collision of the other road users with the vehicle, wherein the collision probability is determined in accordance with the prioritisation carried out in method step d) and the collision probability of the other road users having a high priority is determined first; f) changing or maintaining the current driving behaviour of the vehicle on the basis of the collision probabilities determined in method step e).

A vehicle control device in an embodiment includes a recognition unit that recognizes a surrounding situation of a vehicle and a driving control unit that controls one or both of steering and acceleration or deceleration of the vehicle on the basis of the surrounding situation recognized by the recognition unit, and in a case where the vehicle merges into a second lane from a first lane in which the vehicle travels, and a section of the second lane before merging recognized by the recognition unit is downhill, the driving control unit makes a speed or acceleration of the vehicle higher than in a case where the section before merging is not downhill.

A communication system includes a motor vehicle, a portable communication adapter separate from the motor vehicle and able to be coupled reversibly to a control device of the motor vehicle via a communication interface, and a vehicle-external coordination device. The communication adapter receives motor vehicle data describing a traffic behavior and/or a traffic environment of the motor vehicle from the control device. The communication adapter includes a transmission/reception unit and transmits the motor vehicle data to the vehicle-external coordination device via the transmission/reception unit and receives warning data generated by the vehicle-external coordination device which describes a traffic behavior and/or a traffic environment of another motor vehicle. The communication adapter initiates a traffic-coordinating measure based on the warning data.

A method for calculating a lateral position of an ego motor vehicle on a traffic lane includes calculating a first theoretical lateral position of the ego vehicle, calculating a second theoretical lateral position of the ego vehicle, calculating a third theoretical lateral position of the ego vehicle, calculating the lateral position of the ego vehicle using a weighted average of the first lateral position, the second lateral position, and the third lateral position.

This application provides a method and an apparatus for planning a vehicle trajectory, an intelligent driving domain controller, and an intelligent vehicle. One example method includes: An intelligent driving domain controller of a first vehicle obtains a first trajectory of the first vehicle, obtains a second trajectory of at least one second vehicle based on a first communications technology, and then determines trajectory planning of the first vehicle based on the first trajectory and the second trajectory of the at least one second vehicle.

A computer includes a processor and a memory storing instructions executable by the processor to receive data indicating a gaze direction of an occupant of the vehicle; determine whether the gaze direction is in a permitted area defined by a boundary, the permitted area being in a forward direction of travel of the vehicle; laterally adjust the boundary of the permitted area based on a speed of the vehicle and based on data indicating turning of the vehicle; and control the vehicle based on whether the gaze direction is in the permitted area.

A vehicle driving assist apparatus includes a first unit to set a degree of acceleration suppression to suppress acceleration of a vehicle, a controller to suppress target acceleration of the own vehicle based on the degree of acceleration suppression, a storage to store road map information, an estimator to estimate a vehicle position, a detector to map-match the estimated vehicle position to the road map information and detect whether there is a crossing road ahead of the vehicle, a second setting unit to set, when the detector detects the crossing road, a traveling-prohibited region on an opposite side of the vehicle on the road map information, and a calculator to calculate a reaching distance from the vehicle to the region. The degree of acceleration suppression is set to a higher value as the reaching distance becomes shorter.