A vehicle and control method include: a seat; an image acquirer to acquire an image of the seat; a first type of roof airbag module in a fixed position in a first area of a headlining; a rail member in a second area of the headlining in a left-right direction of a vehicle body; a second type of roof airbag module in the rail member and movable in left and right directions along the rail member; an angle detector to detect a rotation angle of the seat; and a controller. The controller identifies the seat rotation angle based on the image of the seat and controls activation of at least the first type of roof airbag module or the second type of roof airbag module based on at least the seat rotation angle based on the image of the seat or detected by the angle detector.

An impairment analysis (“IA”) computer system for alerting a first driver of a first vehicle to a driving hazard posed by a second vehicle operated by a second driver is provided. The IA computer system is associated with the first vehicle, and includes at least one processor in communication with at least one memory device. The at least one processor is programmed to: (i) receive second vehicle data including second driver data and second vehicle condition data, where the second vehicle data is collected by a plurality of sensors included on the first vehicle; (ii) analyze the second vehicle data by applying a baseline model to the second vehicle data; (iii) determine that the second vehicle poses a driving hazard to the first vehicle based upon the analysis; and/or (iv) generate an alert signal based upon the determination that the second vehicle poses a driving hazard to the first vehicle.

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.

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.

The disclosure describes embodiments for modifying a whether an ego vehicle changes lanes to a target lane at a target time based on a payload of a Vehicle-to-Everything (V2X) message originated by a remote vehicle. In some embodiments, a method includes determining, based on the payload, whether the remote vehicle is changing lanes to the target lane at the target time. The method includes determining that the ego vehicle is changing lanes to the target lane at approximately the target time. The method includes estimating that the ego vehicle and the remote vehicle will collide at the target lane at the target time. The method includes modifying an operation of a vehicle component of the ego vehicle so that the ego vehicle does not change lanes to the target lane at the target time.

The disclosure describes embodiments for modifying a whether an ego vehicle changes lanes to a target lane at a target time based on a payload of a Vehicle-to-Everything (V2X) message originated by a remote vehicle. In some embodiments, a method includes determining, based on the payload, whether the remote vehicle is changing lanes to the target lane at the target time. The method includes determining that the ego vehicle is changing lanes to the target lane at approximately the target time. The method includes estimating that the ego vehicle and the remote vehicle will collide at the target lane at the target time. The method includes modifying an operation of a vehicle component of the ego vehicle so that the ego vehicle does not change lanes to the target lane at the target time.

A lane centering system for a vehicle includes a light detection and ranging (LIDAR) system configured to (i) emit light pulses towards raised pavement markers on a road along which the vehicle is traveling and (ii) receive light pulses reflected by the raised pavement markers that collectively form LIDAR point cloud data, and a controller configured to detect a set of lane lines defining one or more lanes on the road based on the LIDAR point cloud data, based on at least the detected set of lane lines.sub.; generate a polynomial curve corresponding to a center of a lane in which the vehicle is traveling, and control steering of the vehicle based on the polynomial curve to keep the vehicle centered within the lane.

A lane centering system for a vehicle includes a light detection and ranging (LIDAR) system configured to (i) emit light pulses towards raised pavement markers on a road along which the vehicle is traveling and (ii) receive light pulses reflected by the raised pavement markers that collectively form LIDAR point cloud data, and a controller configured to detect a set of lane lines defining one or more lanes on the road based on the LIDAR point cloud data, based on at least the detected set of lane lines.sub.; generate a polynomial curve corresponding to a center of a lane in which the vehicle is traveling, and control steering of the vehicle based on the polynomial curve to keep the vehicle centered within the lane.

A method for operating an assistance system for a vehicle, including an object sensor device for determining an object characteristic value representative of coordinates of an object in the environment of the vehicle and a viewing sensor device for determining a direction characteristic value representative of a viewing direction of a driver of the vehicle and for determining a position characteristic value representative of a head position of the driver. According to the method, a projection characteristic value representative of a vector that connects the head position to the object is determined; a first region characteristic value representative of an estimated primary field of view of the driver is determined; an attention characteristic value representative of the probability that the object is at least partially in the field of view of the driver is determined; and a warning function of the vehicle is activated.

A driving assistance device that includes a processor and a memory and assists driving of a vehicle includes: an external environment information acquisition unit that acquires external environment information of the vehicle; an obstacle detection unit that detects an obstacle in front of the vehicle from the external environment information; a lane detection unit that detects a lane boundary line and a road edge from the external environment information; an alarm unit that issues an alarm or performs steering assist when deviation from the lane boundary line or the road edge is detected; and a state management unit that suppresses the alarm or the steering assist when the obstacle detection unit detects the obstacle.