An optical detector (110) is disclosed, the optical detector (110) comprising: at least one spatial light modulator (114) being adapted to modify at least one property of a light beam (136) in a spatially resolved fashion, having a matrix (132) of pixels (134), each pixel (134) being controllable to individually modify the at least one optical property of a portion of the light beam (136) passing the pixel (134); at least one optical sensor (116) adapted to detect the light beam (136) after passing the matrix (132) of pixels (134) of the spatial light modulator (114) and to generate at least one sensor signal; at least one modulator device (118) adapted for periodically controlling at least two of the pixels (134) with different modulation frequencies; and at least one evaluation device (120) adapted for performing a frequency analysis in order to determine signal components of the sensor signal for the modulation frequencies.

A method includes obtaining, by a processing device, first image data of a substrate including an epitaxial film. The method further includes applying a frequency domain filter to the first image data to obtain filtered image data. The method further includes determining a number of epitaxial defects represented in the first image data by performing feature detection on the filtered image data. The method further includes performing a corrective action in view of the number of epitaxial defects.

An optical detector (110) is disclosed, the optical detector (110) comprising: at least one spatial light modulator (114) being adapted to modify at least one property of a light beam (136) in a spatially resolved fashion, having a matrix (132) of pixels (134), each pixel (134) being controllable to individually modify the at least one optical property of a portion of the light beam (136) passing the pixel (134); at least one optical sensor (116) adapted to detect the light beam (136) after passing the matrix (132) of pixels (134) of the spatial light modulator (114) and to generate at least one sensor signal; at least one modulator device (118) adapted for periodically controlling at least two of the pixels (134) with different modulation frequencies; and at least one evaluation device (120) adapted for performing a frequency analysis in order to determine signal components of the sensor signal for the modulation frequencies.

Techniques for generating magnetic resonance (MR) images of a subject from MR data obtained by a magnetic resonance imaging (MRI) system, the techniques including: obtaining input MR data obtained by imaging the subject using the MRI system; generating a plurality of transformed input MR data instances by applying a respective first plurality of transformations to the input MR data; generating a plurality of MR images from the plurality of transformed input MR data instances and the input MR data using a non-linear MR image reconstruction technique; generating an ensembled MR image from the plurality of MR images at least in part by: applying a second plurality of transformations to the plurality of MR images to obtain a plurality of transformed MR images; and combining the plurality of transformed MR images to obtain the ensembled MR image; and outputting the ensembled MR image.

In various examples, systems and methods described herein may determine individual components of a dashed line based at least on identifying relationships across different portions of the dashed line. For instance, input data representing a road surface may be analyzed and a representation associated with a dashed line may be determined. In some instances, the representation may be generated based at least on intensity values associated with points corresponding to the input data. Then, based at least on the representation, information associated with one or more components of the dashed line may be determined. For instance, the representation may be indicative of the relationships across the different portions of the dashed line, and these relationships may be used to determine the information associated with the one or more components of the dashed line.

Disclosed are systems and methods that can be used for adjusting the field of view of one or more sensors of an autonomous vehicle. In the systems and methods, each sensor of the one or more sensors is configured to operate in accordance with a field of view volume up to a maximum field of view volume. The systems and methods include determining an operating environment of an autonomous vehicle. The systems and methods also include based on the determined operating environment of the autonomous vehicle, adjusting a field of view volume of at least one sensor of the one or more sensors from a first field of view volume to an adjusted field of view volume different from the first field of view volume. Additionally, the systems and methods include controlling the autonomous vehicle to operate using the at least one sensor having the adjusted field of view volume.

Provided is an image sensor evaluation method using a computing device including a processor, the method including receiving, by the processor, image data obtained by capturing a plurality of neighboring lines by an image sensor, performing, by the processor, a spatial domain analysis on the image data to generate a first quality score of the image sensor, performing, by the processor, a frequency domain analysis on the image data to generate a second quality score of the image sensor, and generating, by the processor, a final quality score of the image sensor based on the first quality score and the second quality score.

The inventive method involves receiving as input a representation of an ordered set of two-dimensional images. The ordered set of two-dimensional images is analyzed to determine at least one first view of an object in at least two dimensions and at least one motion vector. The next step is analyzing the combination of the first view of the object in at least two dimensions, the motion vector, and the ordered set of two-dimensional images to determine at least a second view of the object; generating a three-dimensional representation of the ordered set of two-dimensional images on the basis of at least the first view of the object and the second view of the object. Finally, the method involves providing indicia of the three-dimensional representation as an output.

Disclosed are systems and methods that can be used for adjusting the field of view of one or more sensors of an autonomous vehicle. In the systems and methods, each sensor of the one or more sensors is configured to operate in accordance with a field of view volume up to a maximum field of view volume. The systems and methods include determining an operating environment of an autonomous vehicle. The systems and methods also include based on the determined operating environment of the autonomous vehicle, adjusting a field of view volume of at least one sensor of the one or more sensors from a first field of view volume to an adjusted field of view volume different from the first field of view volume. Additionally, the systems and methods include controlling the autonomous vehicle to operate using the at least one sensor having the adjusted field of view volume.