Detecting out-of-model scenarios for an autonomous vehicle including: determining, based on first sensor data from one or more sensors, an environmental state relative to the autonomous vehicle, wherein operational commands for the autonomous vehicle are based on a selected machine learning model, wherein the selected machine learning model comprises a first machine learning model; comparing the environmental state to a predicted environmental state relative to the autonomous vehicle; and determining, based on a differential between the environmental state and the predicted environmental state, whether to select a second machine learning model as the selected machine learning model.

A vehicular vision system includes a camera disposed at a vehicle and operable to capture multiple frames of image data during a driving maneuver of the vehicle. A control includes an image processor that processes frames of captured image data to determine feature points in an image frame when the vehicle is operated within a first range of steering angles, and to determine motion trajectories of those feature points in subsequent image frames for the respective range of steering angles. The control determines a horizon line based on the determined motion trajectories. Responsive to determination that the determined horizon line is non-parallel to the horizontal axis of the image plane, at least one of pitch, roll or yaw of the camera is adjusted. Image data captured by the camera is processed at the control for object detection.

A parking assistance device includes an imager that captures an image of a surrounding of a vehicle, and a display that displays a guidance image for guiding the vehicle from a parking start position to a target parking position and displays a moving area in which the vehicle can move during a parking operation. An area and dimension of the moving area displayed on the display changes based on a change in a steering angle of the vehicle.

A racing coach device stores a first path of travel along a racetrack over a first time period and a second path of travel along the racetrack over a second time period. The racing coach device identifies, for each of a plurality of geolocations along the racetrack, one of the first path of travel or the second path of travel that is associated with a shorter duration of time over which the user traversed a segment of the path of travel associated with each of the plurality of geolocations. The device determines an optimal path of travel along the racetrack based on the identified first and second path of travel for each segment of the path of travel at each of the plurality of geolocations that results in a calculated lap time to traverse the racetrack that is less than the first time period and the second time period.

A vehicular trailer hitching assist system includes a camera disposed at a rear portion of a vehicle and viewing at least rearward of the vehicle. During a reversing maneuver of the vehicle toward a trailer that is spaced from the vehicle at a distance from the vehicle, the camera views at least a portion of a front profile of the trailer. An electronic control unit (ECU) includes an image processor operable to process image data captured by the camera. The vehicular trailer hitching assist system, via image processing at the ECU of image data captured by the camera during the reversing maneuver of the vehicle toward the trailer, determines a plurality of landmarks corresponding to the front profile of the trailer. Based at least in part on the determined plurality of landmarks, the vehicular trailer hitching assist system determines location of a trailer coupler of the trailer.

There is provided a display device for a vehicle, the display device including: a display unit that is visible to an occupant of a vehicle; a memory; and a processor that is connected to the memory, the processor changing a content image displayed on the display unit so as to be displayed in the same direction as a direction in which a travel path of the vehicle curves.

A system and method for assisting drivers of vehicles are described. The systems and methods provide an extended view of the area surrounding the driver's vehicle while providing real-time object trajectory for objects and other vehicles that may enter the driver's reactionary zone. The system and methods capture images of the area surrounding the driver's vehicle and create a composite image of that area in real-time and using Augmented Reality (AR) create a 3-D overlay to warn the driver as objects or other vehicles enter the driver's reactionary zone so that a driver can make more informed driving decisions.

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.

A display apparatus including a display that has a screen; a wall portion (instrument panel) where the display is attached to an attachment portion; and a display control section that displays an information image showing information to be provided to a user (occupant) in a partial range of the screen, and displays a wall portion image having the same texture, color, or pattern as the wall portion, in a range of the screen in which the information image is not displayed.

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.