A debris accumulation control system is provided for usage within a work vehicle including an operator station and a work vehicle compartment. In embodiments, the work vehicle debris accumulation control system includes a display device located in the operator station of the work vehicle, a three dimensional (3D) imaging device having a field of view (FOV) encompassing a debris-gathering region of the work vehicle compartment, and a controller operably coupled to the display device and to the 3D imaging device. The controller is configured to: (i) utilize 3D imaging data provided by the 3D imaging device to estimate a debris accumulation risk level within the work vehicle compartment; and (ii) generate a first visual alert on the display device when the debris accumulation risk level surpasses a first predetermined threshold.

A crane control for a crane includes a visualization apparatus which is adapted to generate a stereoscopically visualized camera image having depth information of a working environment of the crane for an operator of the crane control. The visualization apparatus is configured to generate in a representation overlying the camera image a graphic auxiliary representation representing a dimension which can be recognized per se in the camera image. Furthermore, the visualization apparatus includes a display device which displays the stereoscopically visualized camera image together with the overlying graphic auxiliary representation.

A method for implementing parametric models for scene representation to improve autonomous task performance includes generating an initial map of a scene based on at least one image corresponding to a perspective view of the scene, the initial map including a non-parametric top-view representation of the scene, implementing a parametric model to obtain a scene element representation based on the initial map, the scene element representation providing a description of one or more scene elements of the scene and corresponding to an estimated semantic layout of the scene, identifying one or more predicted locations of the one or more scene elements by performing three-dimensional localization based on the at least one image, and obtaining an overlay for performing an autonomous task by placing the one or more scene elements with the one or more respective predicted locations onto the scene element representation.

An example of the present disclosure provides a stereo camera assembly of an object tracking system. The stereo camera assembly comprises a wide-angle lens camera mounted on a mounting structure and a telephoto lens camera mounted on the mounting structure such that a field of view of the telephoto lens camera is at least partially encompassed by a field of view of the wide-angle lens camera.

A system detects multiple instances of an object in a digital image by receiving a two-dimensional (2D) image that includes a plurality of instances of an object in an environment. For example, the system may receive the 2D image from a camera or other sensing modality of an autonomous vehicle (AV). The system uses a first object detection network to generate a plurality of predicted object instances in the image. The system then receives a data set that comprises depth information corresponding to the plurality of instances of the object in the environment. The data set may be received, for example, from a stereo camera of an AV, and the depth information may be in the form of a disparity map. The system may use the depth information to identify an individual instance from the plurality of predicted object instances in the image.

An imaging system for a vehicle for obtaining an anti-flickering super-resolution image includes an image sensor adapted to obtain a sequence of images, and an image processor adapted to receive the sequence of images, compare image information of a most recent image of the sequence of images to a reference image to detect at least one image region of mismatch in the most recent image, remove the detected image region from image information of the most recent image to obtain adjusted image information, and add the adjusted image information of the most recent image to a super-resolution image.

Embodiments of the disclosure provide a camera system and a sensing method using such a camera system. The camera system includes a plurality of distributed cameras, collectively keeping a predetermined image space relative to the camera system in focus. The plurality of cameras are configured to capture image data of at least one object located in the predetermined image space. The camera system further includes a controller configured to determine position information of the at least one object relative to the camera system based on the image data.

An imaging device capable of further increasing the accuracy of distance information and an electronic apparatus equipped with the imaging device are provided. The present technology provides an imaging device that includes a stereo imager, and the stereo imager includes a plurality of sensors. Each sensor of the plurality of sensors has an imaging unit formed with a plurality of repeating units. The imaging unit includes a polarizer having at least one kind of polarization spindle angle, and at least two unit images obtained by a plurality of the imaging units are combined, to obtain information about polarization in at least three directions, and generate normal information. The present technology further provides an electronic apparatus equipped with the imaging device.

A method for detecting a relevant region in the surroundings of an ego vehicle, in which a situation exists which is relevant to the driving and/or safety of the ego vehicle, from measurement data of a sensor which observes at least a portion of the surroundings, the measurement data being discretized into pixels or voxels and/or are suitably represented in some other way, the existence of the relevant situation being dependent on the presence of at least one characteristic object in the surroundings, and the resolution of the pixels, voxels and/or the other representation being insufficient for directly detecting the characteristic object, the measurement data being analyzed for the presence of a grouping of objects which contains the characteristic object, the resolution of the pixels, voxels and/or the other representation being sufficient for detecting the grouping. A region in which the grouping is detected is classified as a relevant region.

An apparatus including cameras and a processor. The cameras may generate pixel data of an exterior view from a vehicle. The processor may generate video frames from each of the cameras, perform computer vision operations on the video frames to detect an object, determine a predicted path of the object with respect to the vehicle, predict an approach side of the vehicle of the object based on the predicted path, and generate a notification in response to the predicted path. A first of the cameras may be on the approach side of the vehicle. The object may not be in a field of view captured by the first camera. The object may be detected in the video frames captured by a second of the cameras that may not be on the approach side of the vehicle. The notification may be generated before the object may be in the field of view.