A display control apparatus includes a captured data acquisition unit, a motion state detection unit, an extracted image data generation unit, a display image data generation unit, and an output unit. The captured data acquisition unit is configured to acquire captured data generated as a result of a camera capturing scenery outside a vehicle. The motion state detection unit is configured to detect a motion state of the vehicle. The extracted image data generation unit is configured to generate an extracted image from the captured data by using an angle of view set in accordance with the motion state. The display image data generation unit is configured to generate display image data related to a display image having a preset image size, from extracted image data. The output unit is configured to output the display image to a display unit having the image size.

A display system for a paving machine can include a plurality of cameras configured to provide a 360° bird's-eye view of a paving machine and an area surrounding the paving machine; a display operatively coupled to the plurality of cameras showing the 360° bird's-eye view; and a controller coupled to the display, the controller further coupled to a sensor on the paving machine positioned to measure a height of a paving material at one or more locations on the paving machine, wherein when the material height falls below a pre-determined level, the controller sends a warning to the display such that the display shows the 360° bird's-eye view with the material height warning incorporated into the display.

A safety system for a vehicle includes a camera and a central control device. The camera is configured to obtain a first image. When the central control device determines that the vehicle is in a straight-moving state, the central control device determines whether a target object is in a first range on a side of the vehicle according to the first image. When the central control device determines that the vehicle is in a turning state, the central control device determines whether the target object is in a second range on the side of the vehicle according to the first image, wherein the second range is larger than the first range.

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 work vehicle display system utilized in piloting a work vehicle includes a display device having a display screen, a context camera mounted to the work vehicle and positioned to capture a context camera feed of the work vehicle's exterior environment, and a controller architecture. The controller architecture is configured to: (i) receive the context camera feed from the context camera; (ii) generate a visually-manipulated context view utilizing the context camera feed; and (iii) output the visually-manipulated context view to the display device for presentation on the display screen. In the process of generating the visually-manipulated context view, the controller architecture applies a dynamic distortion-perspective (D/P) modification effect to the context camera feed, while gradually adjusting a parameter of the dynamic D/P modification effect in response to changes in operator viewing preferences or in response to changes in a current operating condition of the work vehicle.

A vehicular vision system includes a camera disposed at a vehicle and having an exterior field of view. The camera includes a wide angle lens providing the field of view and the camera captures an image data set representative of the field of view of the camera. During a driving maneuver of the vehicle, an image processor processes a sub-set of the image data set to determine presence of an object in a sub-portion of the field of view of the camera. The sub-set of the image data set that is processed at the image processor is representative of the sub-portion of the field of view of the camera that is less than the field of view of the camera. The sub-set of the image data set that is processed at the image processor is based on steering direction of the vehicle during the driving maneuver of the vehicle.

A system and method for providing adaptive trust calibration in driving automation that include receiving image data of a vehicle and vehicle automation data associated with automated of driving of the vehicle. The system and method also include analyzing the image data and vehicle automation data and determining an eye gaze direction of a driver of the vehicle and a driver reliance upon automation of the vehicle and processing a Markov decision process model based on the eye gaze direction and the driver reliance to model effects of human trust and workload on observable variables to determine a control policy to provide an optimal level of automation transparency. The system and method further include controlling autonomous transparency of at least one driving function of the vehicle based on the control policy.

A method for guiding reversing of a vehicle includes displaying, via a video display screen of the vehicle, and responsive to the vehicle being shifted into reverse gear, video images derived from image data captured by a rear backup camera of the vehicle. Responsive to actuation of an input by the driver of the vehicle, an alignment overlay is generated and electronically superimposed on the displayed video images to assist the driver in reversing the vehicle toward a trailer hitch of a trailer. The alignment overlay extends longitudinally rearward from a central region of the vehicle displayed in the displayed video images. The input is an actuatable input other than the vehicle being shifted into reverse gear. The alignment overlay is adjusted responsive to change in steering angle of the vehicle while the driver is executing the reversing maneuver of the vehicle.

Disclosed is a mobile terminal that provides an augmented reality navigation screen in a state of being hold in a vehicle, the mobile terminal including: at least one camera configured to obtain a front image; a display; and at least one processor configured to calibrate the front image, and to drive an augmented reality navigation application so that the augmented reality navigation screen including at least one augmented reality (AR) graphic object and the calibrated front image is displayed on the display.

A vehicular vision system includes a camera disposed at an in-cabin side of a windshield of a vehicle and viewing forward of the vehicle. The vehicular vision system, responsive at least in part to image processing of multiple frames of captured image data, detects an object present exterior of the vehicle that is moving relative to the vehicle. The system, when the vehicle is moving, and based at least in part to received vehicle motion data indicative of motion of the vehicle when the vehicle is moving and image processing of multiple frames of captured image data, (i) estimates object trajectory of the detected object based at least in part on corresponding object features present in multiple frames of image data captured by the camera and (ii) determines motion of the detected object relative to the moving vehicle based on the estimated object trajectory.