The present invention is configured to include an other-vehicle situation determination circuitry to estimate traveling situations of each of other vehicles traveling ahead of one's own vehicle and to determine that an alert situation is present when any of the other vehicles is estimated to be in a situation where a vehicle should slow down or change traffic lanes to a traffic lane in which one's own vehicle is traveling in order to avoid a collision with an object or a separate vehicle on a road; and a prediction function diagnosis circuitry, when receiving a determination result that the alert situation is present, diagnoses whether an other-vehicle behavior prediction function is sound or not based on whether or not an other-vehicle behavior prediction corresponding to the alert situation was able to be received from the other-vehicle behavior prediction function.

A vehicle driving assistance apparatus executes a collision avoidance control to avoid a collision of an own vehicle with an object ahead of the own vehicle by forcibly braking and stopping the own vehicle before the object when a collision condition that the own vehicle collides with the object, becomes satisfied. The vehicle driving assistance apparatus acquires information on a situation behind the own vehicle as rearward detection information when the own vehicle tows a trailer, acquires an angle between a moving vector of the own vehicle and a moving vector of the trailer as a towing angle. and keep the collision avoidance control unexecuted even when the collision condition becomes satisfied when a forbiddance condition that the towing angle is equal to or greater than a predetermined towing angle, is satisfied.

Systems and methods use cameras to provide autonomous navigation features. In one implementation, a method for navigating a user vehicle may include acquiring, using at least one image capture device, a plurality of images of an area in a vicinity of the user vehicle; determining from the plurality of images a first lane constraint on a first side of the user vehicle and a second lane constraint on a second side of the user vehicle opposite to the first side of the user vehicle; enabling the user vehicle to pass a target vehicle if the target vehicle is determined to be in a lane different from the lane in which the user vehicle is traveling; and causing the user vehicle to abort the pass before completion of the pass, if the target vehicle is determined to be entering the lane in which the user vehicle is traveling.

A vehicle travel assistance method executed by a processor comprises: setting a travel lane in which a subject vehicle travels based on detection information of a sensor equipped in the subject vehicle, identifying a preceding vehicle traveling ahead of a subject vehicle based on detection information of a sensor, calculating, based on the detection information, a first evaluation value indicating a possibility that the subject vehicle can return to the travel lane from an adjacent lane adjacent to the travel lane after overtaking the preceding vehicle, calculating a shortening width of travel time shortened by overtaking the preceding vehicle based on the vehicle speed of the subject vehicle and the vehicle speed of the preceding vehicle, and determining whether or not to overtake the preceding vehicle based on the first evaluation value and the shortening width.

A method for predicting a future action of an object for a driving assistance system for a highly automated mobile vehicle. At least one sensor signal from at least one vehicle sensor of the vehicle is read in, the sensor signal representing at least one piece of kinematic object information concerning the object that is detected by the vehicle sensor at an instantaneous point in time. A planner signal from a planner of the autonomous driving assistance system is read in, the planner signal representing at least one piece of semantic information concerning the object or the surroundings of the object at a point in time in the past. The kinematic object information is fused with the semantic information to obtain a fusion signal. A prediction signal is determined using the fusion signal, the prediction signal representing the future action of the object.

In various embodiments, methods, systems, and vehicles are provided for executing a lane change for a host vehicle. In various embodiments, a method includes: receiving, by a processor, an indication that a lane change from an initial lane to an intended lane is desired for the host vehicle; defining, by the processor, an initial lane center target, a negotiation target, and an intended lane center target based on the desired lane change; and controlling, by the processor, the host vehicle to at least one of the initial lane center target, the negotiation target, and the intended lane center target based on a finite state machine, wherein the initial lane center target is at or in proximity to a determined center of the initial lane, wherein the intended lane center target is at or in proximity to a determined center of the intended lane, and wherein the negotiation target is offset from the initial lane center target and within the initial lane.

A vehicle includes a controller that identifies a target around the vehicle and calculates a danger range of the identified target, based on processing surrounding data obtained by sensor devices; calculates a danger range of the vehicle based on processing driving data obtained by sensor devices; determines a danger of collision based on the danger range of the target and the danger range of the vehicle, and control a driving apparatus based on the determined danger of collision. Such a vehicle and a control method thereof can make it possible to avoid a collision based on a danger range by calculating the danger range between the vehicle and a surrounding object of the vehicle depending on a factor causing uneasiness of a user.

An indication of an intention of making a lane change to an adjacent lane that is issued from a preceding vehicle that travels in the same lane as an own vehicle is sensed while causing the own vehicle to travel while following the preceding vehicle. When the indication of the intention of making the lane change is sensed, deviation of the preceding vehicle toward the adjacent lane from an occupied region that is occupied by the own vehicle in traveling in the lane is sensed. Then, when deviation of the preceding vehicle from the occupied region is sensed, acceleration suppression for causing the own vehicle to travel while following the preceding vehicle is canceled.

A driving assistance system for automated driving of a vehicle includes at least one processor unit, which is designed to perform the following when the driving assistance system is carrying out a maneuver of turning onto a street: to determine, on the basis of environment data of an environment sensor system of the vehicle, whether another, on-coming road user is blocking a lane of the street which corresponds to the vehicle; and when it is determined that the other road user is blocking the lane of the street which corresponds to the vehicle to carry out a situation evaluation in order to determine whether the vehicle should back up in order to allow the other road user to exit the street or whether the other road user should be requested to clear the lane by backing up.

The present disclosure provides a method and apparatus for determining an attribute value of an obstacle in vehicle infrastructure cooperation. The method includes: acquiring vehicle-end data collected by at least one sensor of an autonomous driving vehicle; acquiring vehicle wireless communication V2X data transmitted by a roadside device; and fusing, in response to determining that an obstacle is at an edge of a blind spot of the autonomous driving vehicle, the vehicle-end data and the V2X data to obtain an attribute estimated value of the obstacle.