Abstract: A method of displaying awareness lines in a camera monitor system for a vehicle includes detecting an adjacent lane marker to the vehicle, calculating an awareness line that is perpendicular to the adjacent lane marker, and displaying the awareness line in relation to a trailer end location.

Abstract: A method for determining an image reference position includes receiving at least one image from at least one camera at a controller, the image includes a road lane that is defined by two identifiable lane lines and the camera is a component of a camera monitoring system (CMS) for a vehicle. An inner edge of each lane line is identified in the two identified lane lines using image based analysis, and a vanishing point of the two identified lane lines is identified by extending the identified inner edges of each lane line to a point where the extended inner edges meet using the controller, and the vanishing point is provided to at least one CMS system as the image reference position.

Abstract: A method for automatically panning a view for a commercial vehicle includes determining a plurality of estimated trailer angles. Each estimated trailer angle is determined using a distinct estimation method, and method assigns a confidence value to each estimated trailer angle in the plurality of estimated trailer angles. The method determines a weighted sum of the plurality of estimate trailer angles, and automatically pans the view based at least in part on the weighted sum and a current vehicle operation.

Abstract: A method for automatically panning a view for a commercial vehicle includes receiving a video feed from at least one camera defining a field of view. A plurality of objects in the video feed, includes at least one wheel and at least one line, are identified. A path of each object in the plurality of objects is tracked through an image plane of the video feed. A trailer angle corresponding to each path is identified, the identified trailer angle is associated with the corresponding path, thereby generating a plurality of trailer angle measurements. The plurality of paths are down selected to a single path and identifying a single trailer angle measurement corresponding to the single path.

Abstract: A camera monitoring system includes a first mirror replacement camera extending outward from a vehicle. The first mirror replacement camera defines a rearward facing field of view including at least one image feature during at least a first set of operating conditions. The at least one image feature has a fixed position within the field of view during the at least the first set of operating conditions. A camera monitoring system controller is configured to automatically calibrate an orientation of the first mirror replacement camera relative to the vehicle by comparing an expected position of the at least one image feature to an actual position of the at least one image feature while the vehicle is operating under the first set of operating conditions and identifying a shift of camera orientation based on the difference.

Abstract: In certain embodiments, an ophthalmic laser surgical system for imaging and treating a target in an eye includes an imaging system with an optical coherence tomography (OCT) device that directs an OCT imaging beam along an imaging beam path towards the target in the eye, and generates OCT images from the OCT imaging beam reflected from the eye. The beam combining and alignment device aligns the OCT imaging beam and the laser beam. The laser-OCT xy-scanner: receives the OCT imaging beam from the imaging system, directs the OCT imaging beam along the imaging beam path towards the eye, and scans the OCT imaging beam in an xy-plane in the eye; and receives the laser beam from the laser device, directs the laser beam along the laser beam path aligned with the imaging beam path towards the eye, and scans the laser beam in the xy-plane in the eye.

Abstract: In certain embodiments, an ophthalmic laser surgical system for imaging and treating a target in an eye includes an optical coherence tomography (OCT) device that: directs an imaging beam towards the eye; generates three-dimensional (3D) image data from the imaging beam reflected from the eye; and generates two-dimensional (2D) enface images from the 3D image data. The 2D enface images include a target enface image imaging the target in the eye and a retinal enface image imaging a shadow cast by the target onto the retina. An xy-scanner directs the imaging beam along an imaging beam path towards the eye, and directs a laser beam from the laser device along a laser beam path aligned with the imaging beam path towards the eye. A computer compares the target of the target enface image and the shadow of the retinal enface image to confirm the presence of the target.

Abstract: In certain embodiments, an OCT system sends a sample beam to a sample (e.g., an eye) along a sample path divided into multiple sample path ranges. The system sends a reference beam to a reference arm system with multiple reference arms, where each reference arm corresponds to a sample path range. Each arm has a specific dispersion level with a corresponding dispersion compensation parameter set designed to address the specific level. A detector detects reflected sample and reference beams. A computer performs the following for each sample path range: select the dispersion compensation parameter set corresponding to the reference arm of the sample path range; apply the dispersion compensation parameter set to the detector signal to yield image information; and process the image information. The computer generates an image of the sample from the image information for the sample path ranges.

Abstract: A method for determining a trailer detection parameter of a trailer including receiving an image from at least one camera at a controller. The at least one camera defines a field of view including at least a portion of a vehicle trailer. The method determines a trailer angle of the vehicle trailer relative to a tractor, identifies at least one feature in an image of the trailer, determines a two-dimensional distance from the at least one feature to a predefined position on the image, and converts the two-dimensional distance to a three-dimensional distance based at least in part on the determined angle. The three-dimensional distance is a trailer detection parameter of the trailer.

Abstract: A method for automatically panning a view for a commercial vehicle includes determining a plurality of estimated trailer angles. Each estimated trailer angle is determined using a distinct estimation method, and method assigns a confidence value to each estimated trailer angle in the plurality of estimated trailer angles. The method determines a weighted sum of the plurality of estimate trailer angles, and automatically pans the view based at least in part on the weighted sum and a current vehicle operation.

Abstract: An estimation apparatus (30) includes a first estimation unit (31) configured to estimate a first pulse rate from a first video data which is captured a body part and output a first feature data derived based on the first video data; a training unit (32) configured to train a determination model to determine a confidence value which indicates an reliability in the estimation of the first pulse rate and a physiological information measured from the body; an acquiring unit (33) configured to acquire a second feature data derived by the first estimation unit, and acquire the confidence value of the second pulse rate using the second feature data and the determination model trained by the training unit; and a second estimation unit (34) configured to estimate a third pulse rate based on the acquired confidence value.

Abstract: Methods for improved acquisition and processing of optical coherence tomography (OCT) angiography data are presented. One embodiment involves improving the acquisition of the data by evaluating the quality of different portions of the data to identify sections having non-uniform acquisition parameters or non-uniformities due to opacities in the eye such as floaters. The identified sections can then be brought to the attention of the user or automatically reacquired. In another embodiment, segmentation of layers in the retina includes both structural and flow information derived from motion contrast processing. In a further embodiment, the health of the eye is evaluating by comparing a metric reflecting the density of vessels at a particular location in the eye determined by OCT angiography to a database of values calculated on normal eyes.

Abstract: Methods for improved acquisition and processing of optical coherence tomography (OCT) angiography data are presented. One embodiment involves improving the acquisition of the data by evaluating the quality of different portions of the data to identify sections having non-uniform acquisition parameters or non-uniformities due to opacities in the eye such as floaters. The identified sections can then be brought to the attention of the user or automatically reacquired. In another embodiment, segmentation of layers in the retina includes both structural and flow information derived from motion contrast processing. In a further embodiment, the health of the eye is evaluating by comparing a metric reflecting the density of vessels at a particular location in the eye determined by OCT angiography to a database of values calculated on normal eyes.

Abstract: Systems and methods to improve the visualization of vasculature in OCT angiography data are presented. In one embodiment, vessels having a particular orientation relative to one or more reference surfaces are highlighted. In another embodiment, the path of individual vessels can be analyzed to determine how many or what layers the vessels traverse. In another embodiment, regions which are typically not vascularized are analyzed for the presence of vessels. Techniques to minimize the impact of shadow artifacts are also presented and can be applied to any of the visualization approaches for further enhancement.

Abstract: Methods and systems in ophthalmic imaging are presented that increase the sensitivity of automated diagnoses by the use of a combination of both functional and structural information derived from a variety of ophthalmic imaging modalities. An example method to analyze image data of an eye of a patient includes processing a first image dataset to obtain one or more functional metrics; processing a second image dataset to obtain one or more structural metrics; comparing the one or more structural metrics to the one or more functional metrics; and processing the results of said comparison to derive the probability of a disease or normality of the eye.

Abstract: Methods for improved acquisition and processing of optical coherence tomography (OCT) angiography data are presented. One embodiment involves improving the acquisition of the data by evaluating the quality of different portions of the data to identify sections having non-uniform acquisition parameters or non-uniformities due to opacities in the eye such as floaters. The identified sections can then be brought to the attention of the user or automatically reacquired. In another embodiment, segmentation of layers in the retina includes both structural and flow information derived from motion contrast processing. In a further embodiment, the health of the eye is evaluating by comparing a metric reflecting the density of vessels at a particular location in the eye determined by OCT angiography to a database of values calculated on normal eyes.

Abstract: In some embodiments of the present invention, a method of reducing artifacts includes obtaining OCT/OCTA data from an OCT/OCTA imager; preprocessing OCTA/OCT volume data; extracting features from the preprocessed OCTA/OCT volume data; classifying the OCTA/OCT volume data to provide a probability determination data; determining a percentage data from the probability data determination; and reducing artifacts in response to the percentage data.

Abstract: Methods for improved acquisition and processing of optical coherence tomography (OCT) angiography data are presented. One embodiment involves improving the acquisition of the data by evaluating the quality of different portions of the data to identify sections having non-uniform acquisition parameters or non-uniformities due to opacities in the eye such as floaters. The identified sections can then be brought to the attention of the user or automatically reacquired. In another embodiment, segmentation of layers in the retina includes both structural and flow information derived from motion contrast processing. In a further embodiment, the health of the eye is evaluating by comparing a metric reflecting the density of vessels at a particular location in the eye determined by OCT angiography to a database of values calculated on normal eyes.

Abstract: A method for reducing motion artifacts in optical coherence tomography (OCT) angiography images is disclosed. The method is applied to the intensity or complex OCT data prior to applying the motion contrast analysis and involves determining sub-pixel level shifts between at least two B-scans repeated approximately at the same location and applying the sub-pixel level shifts to the B-scans to be able to correct for motion and accurately determine motion contrast signal. A preferred embodiment includes the use of 2D cross correlations to register a series of B-scans in both the axial (z-) and lateral (x-) dimensions and a convolution approach to achieve sub-pixel level frame registration.

Abstract: In some embodiments of the present invention, a method of reducing artifacts includes obtaining OCT/OCTA data from an OCT/OCTA imager; preprocessing OCTA/OCT volume data; extracting features from the preprocessed OCTA/OCT volume data; classifying the OCTA/OCT volume data to provide a probability determination data; determining a percentage data from the probability data determination; and reducing artifacts in response to the percentage data.