A driver assistance system has a periphery monitoring device, a drive recorder, and an illuminance detecting section. The periphery monitoring device includes an imaging section that is mounted at a vehicle and captures images of a vehicle periphery, a memory, a processor that is coupled to the memory and that serves as a color tone correction processing section that corrects color tone of an image captured by the imaging section, and a display portion that displays an image having color tone that has been corrected by the color tone correction processing section. The drive recorder includes the imaging section, the memory, the processor that serves as the color tone correction processing section, and a recording section that records an image having color tone that has been corrected by the color tone correction processing section. The processor is configured so as to, in case in which an illuminance that is detected by the illuminance detecting section at a time of imaging by the imaging section is less than a predetermined reference value, correct color tone of an image captured by the imaging section such that color tone correction that is executed for recording in the recording section is color tone correction that is dark as compared with color tone correction that is executed for display at the display portion, and, in a case in which the illuminance that is detected by the illuminance detecting section at the time of imaging by the imaging section is greater than or equal to the predetermined reference value, correct the color tone of the image captured by the imaging section such that color tone correction that is executed for recording in the recording section is color tone correction that is bright as compared with color tone correction that is executed for display at the display portion.

A system and method are provided for object detection for a work machine. In an embodiment, data may be received from at least one sensor associated with the work machine and corresponding to a field of view extending from the main frame. Objects are classified in respective locations in the field of view, and at least one segmentation mask is generated corresponding to contours for at least one portion of, or attachment to, the work machine as determined to be in the field of view, wherein each of the at least one segmentation mask defines a respective masked zone in the field of view. One or more of the classified objects may then be determined as separate from the portion/attachment, wherein the at least one segmentation mask is applied to the portion/attachment independently of the one or more separate objects in the field of view. The at least one segmentation mask may be dynamic in nature to account for detected movements of, e.g., attachments to the work machine.

Presented are intelligent vehicle systems with networked on-body vehicle cameras with camera-view augmentation capabilities, methods for making/using such systems, and vehicles equipped with such systems. A method for operating a motor vehicle includes a system controller receiving, from a network of vehicle-mounted cameras, camera image data containing a target object from a perspective of one or more cameras. The controller analyzes the camera image to identify characteristics of the target object and classify these characteristics to a corresponding model collection set associated with the type of target object. The controller then identifies a 3D object model assigned to the model collection set associated with the target object type. A new “virtual” image is generated by replacing the target object with the 3D object model positioned in a new orientation. The controller commands a resident vehicle system to execute a control operation using the new image.

Methods and devices for actively modifying a field of view of an autonomous vehicle in view of constraints are disclosed. In one embodiment, an example method is disclosed that includes causing a sensor in an autonomous vehicle to sense information about an environment in a first field of view, where a portion of the environment is obscured in the first field of view. The example method further includes determining a desired field of view in which the portion of the environment is not obscured and, based on the desired field of view and a set of constraints for the vehicle, determining a second field of view in which the portion of the environment is less obscured than in the first field of view. The example method further includes modifying a position of the vehicle, thereby causing the sensor to sense information in the second field of view.

A vehicular vision system includes a camera fixedly mounted at a vehicle. The camera has a central viewing axis that bisects a total available field of view exterior of the vehicle of the camera into an at least 90 degrees zone to the left and to the right of the central viewing axis. During a driving maneuver of the vehicle, a video display screen displays video images representative of a reduced field of view of the camera that is less than the total available field of view exterior of the vehicle. During the driving maneuver of the vehicle, and as the steering angle of the vehicle is adjusted toward the right side or left side of the vehicle, the reduced field of view of the camera digitally pans toward the respective right side or left side of the total available field of view exterior of the vehicle of the camera.

A system on a chip (SoC) includes a digital signal processor (DSP) and a graphics processing unit (GPU) coupled to the DSP. The DSP is configured to receive a stream of received depth measurements and generate a virtual bowl surface based on the stream of received depth measurements. The DSP is also configured to generate a bowl to physical camera mapping based on the virtual bowl surface. The GPU is configured to receive a first texture and receive a second texture. The GPU is also configured to perform physical camera to virtual camera transformation on the first texture and on the second texture, based on the bowl to physical camera mapping, to generate an output image.

A virtual guidance apparatus and method assist an operator to maneuver a loader of a work vehicle for material handling of a workpiece. The virtual guidance apparatus includes a guidance control unit, one or more camera devices mounted on the associated work vehicle and operable to obtain an image of a loader of the associated work vehicle, and a display unit operatively coupled with the guidance control unit and displaying on a screen of the display unit that is viewable from an operator's seat of the associated work vehicle visual aids for guiding the operator in operating the loader to position a boom relative to level ground, to position a tool carrier on an end of the boom, to show a preview of a path of the tool carrier and of tools attached with the tool carrier, and to assist in positioning the workpiece load to be manipulated.

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.

Various embodiments include a method for operating a camera-monitor system for a motor vehicle, wherein the camera-monitor system has a side camera assigned to a longitudinal side of the motor vehicle to provide an image of surroundings of the motor vehicle. The method may include: specifying a region of interest in the surroundings; and transforming the image of the camera into a transformed image wherein the region of interest in the transformed image is arranged in a specified image region with a specified magnification independent of any change in relative position between the region of interest and the motor vehicle.

A display control device includes a front image acquiring portion configured to acquire front images by a front camera that images a front of a vehicle traveling on a traveling lane, a lane line position calculation portion configured to calculate a position of a lane line separating the traveling lane and an adjacent lane adjacent to the traveling lane based on movement of the vehicle in a period from a point at which the front image is acquired by the front camera, a movement track calculation portion configured to calculate a movement track of the vehicle, a map creating portion configured to create a map, and a display control portion configured to display, a synthesized image in which a pseudo lane line image corresponding to the lane line is superimposed onto a rear side image acquired after the movement of the vehicle by a rear side camera based on the map.