A display system of the present disclosure forms an AR route by shifting node information included in road map data to a lane on which a subject vehicle is to travel on the basis of lane information. Thus, it is possible to display the AR route which matches a shape of a route on which the subject vehicle is to travel without providing a feeling of strangeness while resolving inconvenience that the AR route is largely displaced from the route on which the subject vehicle is to travel at positions such as an intersection and a branch point, where a plurality of roads intersect.

A vehicle assembly system includes a vehicle chassis of a vehicle; at least one object sensor mounted to the vehicle chassis, where the at least one object sensor generates sensor data based on at least one detected object; a vehicle controller mounted to the vehicle chassis and configured to receive the sensor data from the at least one object sensor, where, during assembly, the vehicle controller is configured with production control software that enables the vehicle controller to generate production object data from the sensor data, monitor for a safety event based on the production object data, and generate a safety event signal in response to detecting the safety event; and a safety controller configured to receive the safety event signal from the vehicle controller and alter a movement of a surveilled machine corresponding to the safety event.

Digital mirror systems for vehicles and methods of operating the same are disclosed. An example vehicle control system includes: a driver monitoring system including a head position determiner to determine at least one of a location of a head, an orientation of the head, or an eye gaze point of the head; a digital mirror system including a region-of-interest (ROI) detector to identify an ROI based on the at least one of the location of the head, the orientation of the head, or the eye gaze point of the head, and a cropper to extract a portion of a first image corresponding to the ROI to form a second image, the first image representing an area exterior to the vehicle; and a display within an interior area of the vehicle to present the second image.

A vehicular control system includes a forward viewing camera disposed at an in-cabin side of a windshield of a vehicle and viewing forward of the vehicle. Road curvature of a road along which the vehicle is traveling is determined responsive at least in part to processing by an image processor of image data captured by the camera. Responsive at least in part to processing of captured image data, a traffic lane of the road along which the vehicle is traveling is determined. Upon approach of the vehicle to a curve in the road, speed of the vehicle is reduced to a reduced speed for traveling around the curve in the road at least in part responsive to at least one selected from the group consisting of (a) processing of image data captured by the forward viewing camera and (b) data relevant to a current geographical location of the equipped vehicle.

An information processing device has an obtaining unit, a controller, and a giving unit. The obtaining unit can obtain vehicle information. The controller creates first warning information when the passability of a road in the vehicle information indicates non-passable. The controller creates recovery information when the passability of the road at the same position in the vehicle information indicates passable, after creation of the first warning information. The giving unit gives the recovery information.

A yaw stability control system is provided for a motor vehicle. The system includes one or more cameras, a plurality of wheel speed sensors, a yaw angle sensor, and a steering angle sensor. The system further includes an electric motor connected to a reaction wheel. The system further includes a processor and a memory including instructions such that the processor is programmed to: determine a desired yaw angle of the motor vehicle based on a video signal, speed signals, a yaw signal, and a steering signal. The processor is further programmed to generate an actuation signal associated with the desired yaw angle. The electric motor angularly rotates the reaction wheel at a predetermined angular rate in a predetermined rotational direction to produce a counter-acting torque that rotates the motor vehicle to the desired yaw angle, in response to the electric motor receiving the actuation signal from the processor.

Disclosed are an apparatus and a method for controlling a vehicle by determining a distortion in lane recognition, which calculate an error variance of the recognized lane, determine a distortion degree of the recognized lane using the error variance, and control the steering of the vehicle using the determined distortion degree.

A vehicular control system includes a forward viewing camera disposed at an in-cabin side of a windshield of a vehicle and viewing forward of the vehicle. Road curvature of a road along which the vehicle is traveling is determined responsive at least in part to processing of image data captured by the camera. Responsive at least in part to processing of captured image data, speed of the vehicle is controlled by an adaptive cruise control system of the vehicle. Upon approach of the vehicle to a curve in the road along which the vehicle is traveling, speed of the vehicle is reduced by the adaptive cruise control system to a reduced speed for traveling around the curve in the road. Speed of the vehicle is increased by the adaptive cruise control system when the vehicle is traveling along a straighter section of road after the curve in the road.

Example lane detection systems and methods are described. In one implementation, a method receives an image from a front-facing vehicle camera and applies a geometric transformation to the image to create a birds-eye view of the image. The method analyzes the birds-eye view of the image using a neural network, which was previously trained using side-facing vehicle camera images, to determine a lane position associated with the birds-eye view of the image.

A driving support apparatus includes an image acquisition that acquires a captured image, a calculator that calculates distance and relative speed between a subject vehicle and a following vehicle, and distances and relative speeds between following vehicles; an evaluator that evaluates a degree of risk caused when the subject vehicle changes a lane to the adjacent lane with respect to the following vehicles on a basis of the distances and the relative speeds; and a display controller that creates support information on the degree of risk associated with a lane change in association with road sections based on positions at which the following vehicles are present, and displays a support image in which a created support information is superimposed on the captured image at a corresponding position on the display portion.